Linn Bonaventure Fridman (Research name: Norbom)

• Slapø, Nora Berz; Jørgensen, Kjetil Nordbø; Nerland, Stener; Mørch-Johnsen, Lynn Egeland; Pettersen, Johanne Hagen & Roelfs, Daniel [Show all 23 contributors for this article] (2026). Relationship between N100 amplitude and T1w/T2w-ratio in the auditory cortex in schizophrenia spectrum disorders. Schizophrenia. doi: 10.1038/s41537-025-00715-w. Full text in Research Archive Show summary

  Schizophrenia spectrum disorders (SCZspect) are associated with altered function in the auditory cortex (AC), indicated by lower N100 amplitude of the auditory evoked potential (AEP). Although the neural substrate behind lower N100 amplitude remains elusive, myelination in the AC may play a role. This study compared N100 amplitude and magnetic resonance imaging (MRI) T1 weighted and T2 weighted ratio (T1w/T2w-ratio), as a proxy of myelination, in the primary AC (AC1) and secondary AC (AC2) between SCZspect (n = 33, 48% women) and healthy controls (HC, n = 144, 49% women). We also examined the associations between N100 amplitude and T1w/T2w-ratios across groups. We finally explored N100 amplitude and T1w/T2w-ratios and the N100-T1w/T2w-ratio associations between male and female SCZspect and HC. N100 amplitude was significantly lower in male SCZspect compared to male HC (p = 0.01) and nominally lower in SCZspect compared to HC (p = 0.03). However, T1w/T2w-ratios in AC1/AC2 did not differ between groups, and no association was found between N100 amplitude and T1w/T2w-ratio in either group. These findings suggest that sex-specific effects should be considered in SCZspect neurophysiology research. Our results do not support the hypothesis of an association between lower N100 amplitude and lower T1w/T2w-ratio in the AC1/AC2 in SCZspect. More precise assessments of intracortical myelin are needed to understand the relationship between N100 amplitude and cortical myelination in the AC in SCZspect and in healthy controls.

• Norbom, Linn B.; Eilertsen, Espen Moen; Dahl, Andreas; Karl, Valerie; Westlye, Lars Tjelta & Tamnes, Christian K. (2025). Socioeconomic context influences the heritability of child cortical structure. Communications Biology. 8. doi: 10.1038/s42003-025-09022-7. Full text in Research Archive Show summary

  Children differ in brain cortical morphometry and microstructure, which together form the structural foundation for cognition. Cortical structure is highly heritable, but whether heritability varies across socioeconomic status (SES) is unknown. In this preregistered study, we estimated single-nucleotide polymorphism (SNP)-based heritability of cortical thickness, surface area, sulcal depth, and grey-/white-matter contrast (GWC) among 9,080 US 10-year-olds. We then tested whether genetic and environmental contributions were moderated by parental SES, defined as a composite of income, education, and neighbourhood deprivation. Cortical thickness and surface area showed high heritability, while sulcal depth and GWC exhibited moderate heritability. However, among children from lower-SES backgrounds, cortical differences were less genetically related and more uniquely environmentally related, at times exceeding genetic contributions. These findings suggest that in contexts of socioeconomic disadvantage, children’s brain structure reflect lived experience more strongly than previously recognized.

• Ferschmann, Lia; Tamnes, Christian Krog & Fridman, Linn Bonaventure (2025). Hjerneutvikling fra fosterlivet til voksen alder: Generelle mønstre og individuelle forskjeller. In Olavesen, Ellen Solstad; Holme, Hanne; Valla, Lisbeth & Hansen, Marit Bergum (Ed.), Helsestasjons- og skolehelsetjenesten - barn og unges psykiske helse og utvikling. 2. utgave.. Gyldendal Akademisk. ISSN 9788205615397. p. 19–38. Full text in Research Archive
• Lindseth, Linn Renate Sjøveian; Beck, Dani; Westlye, Lars Tjelta; Tamnes, Christian K. & Fridman, Linn Bonaventure (2025). Linking pregnancy- and birth-related risk factors to a multivariate fusion of child cortical structure. Proceedings of the National Academy of Sciences of the United States of America (PNAS). ISSN 0027-8424. 122(25). doi: 10.1073/pnas.2422281122. Full text in Research Archive Show summary

  Pregnancy- and birth-related factors affect offspring brain development, emphasizing the importance of early life exposures. While most previous studies have focused on a few variables in isolation, here we investigated associations between a broad range of pregnancy- and birth-related variables and multivariate cortical brain MRI features. Our sample consisted of 8,396 children aged 8.9 to 11.1 y from the Adolescent Brain Cognitive Development Study. Through multiple correspondence analysis and factor analysis of mixed data, we distilled numerous pregnancy and birth variables into four overarching dimensions; maternal pregnancy complications, maternal substance use, low birth weight and prematurity, and newborn birth complications. Vertex-wise measures of cortical thickness (CT), surface area (SA), and curvature were fused using linked independent component analysis. Linear mixed-effects models showed that maternal pregnancy complications and low birth weight and prematurity were associated with smaller global SA. Additionally, low birth weight and prematurity was associated with complex regional cortical patterns reflecting bidirectional variations in both SA and CT. Newborn birth complications showed multivariate patterns reflecting smaller occipital- and larger temporal area, bidirectional frontal area variations, and reduced CT across the cortex. Maternal substance use showed no associations with child cortical structure. By employing a multifactorial and multivariate morphometric fusion approach, we connected complications during pregnancy and fetal size and prematurity to global SA and specific regional signatures across child cortical MRI features.

• Fridman, Linn Bonaventure; Syed, Bilal; Kjelkenes, Rikka; Rokicki, Jaroslav; Beauchamp, Antoine & Nerland, Stener [Show all 17 contributors for this article] (2025). Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry. NeuroImage: Clinical. 45. doi: 10.1016/j.nicl.2025.103736. Full text in Research Archive
• Naseri, Nasimeh; Beck, Dani; Ferschmann, Lia; Aksnes, Eira Ranheim; Havdahl, Alexandra & Jalbrzikowski, Maria [Show all 8 contributors for this article] (2025). MRI-based cortical gray/white matter contrast in young adults who endorse psychotic experiences or are at genetic risk for psychosis. Psychiatry Research : Neuroimaging. ISSN 0925-4927. 349. doi: 10.1016/j.pscychresns.2025.111981. Full text in Research Archive
• Tamnes, Christian Krog; Dahl, Andreas; Meer, Dennis van der; Agartz, Ingrid; Alnæs, Dag & Andreassen, Ole [Show all 13 contributors for this article] (2025). Relationships between wellbeing polygenic scores, brain structure, and psychopathology in children. Personality and Individual Differences. ISSN 0191-8869. 246. doi: 10.1016/j.paid.2025.113313. Full text in Research Archive Show summary

  Wellbeing is shaped by an interplay of genetic and environmental factors and is associated with both health and functioning. It remains unclear whether genetic influences on wellbeing are linked to brain structure and, in turn, early-life psychopathology. Here, we investigated associations between wellbeing polygenic scores (PGS), magnetic resonance imaging (MRI)-derived measures of brain structure, and parent-reported measures of child psychopathology in a large cross-sectional sample of children from the Adolescent Brain Cognitive Development (ABCD) Study (n = 8844; 8.9–11.0 years old). Preregistered analyses revealed no significant associations between wellbeing PGS and regional cortical thickness or subcortical volumes and only a small negative association with surface area of the parahippocampal cortex (β = −0.03, p = .002), while an exploratory analysis identified a small positive association with intracranial volume (ICV; β = 0.04, p < .001). Preregistered analyses showed small negative associations between wellbeing PGS and general psychopathology (β = −0.09, p < .001) and both internalizing (β = −0.09, p < .001) and externalizing problems (β = −0.07, p < .001). ICV partially mediated the relationships between wellbeing PGS and psychopathology, accounting for 1.3–3.3 % of these relationships. The findings suggest that while wellbeing PGS have limited associations with regional brain structure in children, they exhibit small protective effects against psychopathology.

• Tamnes, Christian K.; Bekkhus, Mona; Eilertsen, Maja; Nes, Ragnhild B.; Prydz, Monica Beer & Ystrom, Eivind [Show all 63 contributors for this article] (2024). The nature of the relation between mental illbeing and wellbeing. Nature Human Behaviour. 9, p. 2431–2440. doi: 10.31234/osf.io/9jk2x. Full text in Research Archive Show summary

  Research on mental health has traditionally separated the study of illbeing—disorder and problems—and wellbeing—life satisfaction and positive affect. While previous reviews of studies primarily employing self-report scales indicate that illbeing and wellbeing are distinct yet interconnected constructs, a deeper examination of their relationship is lacking. This perspective article from the PROMENTA Research Center offers a review and synthesis of findings on the joint and distinct nature of illbeing and wellbeing across multiple levels of analysis. Adopting an interdisciplinary approach, we integrate genetic, biological, developmental, psychosocial, societal, cultural, and intervention-based perspectives. Our review reveals substantial genetic overlap and some similar biological underpinnings for illbeing and wellbeing. In contrast, environmental factors and societal changes often have divergent impacts. We propose that future research should systematically assess both positive and negative aspects of mental health to discern their shared and unique determinants, predictors, mechanisms, and consequences.

• Karl, Valerie Christine; Beck, Dani; Eilertsen, Espen Moen; Morawetz, Carmen; Wiker, Thea & Aksnes, Eira Ranheim [Show all 15 contributors for this article] (2024). Associations between parental psychopathology and youth functional emotion regulation brain networks. Developmental Cognitive Neuroscience. ISSN 1878-9293. 70. doi: 10.1016/j.dcn.2024.101476. Full text in Research Archive Show summary

  Parental mental health is associated with children’s emotion regulation (ER) and risk for psychopathology. The relationship between parental psychopathology and children’s functional ER networks and whether connectivity patterns mediate the relationship between parent and youth psychopathology remains unexplored. Using resting-state functional magnetic resonance imaging data from the Adolescent Brain Cognitive Development Study (N = 4202, mean age = 10.0) and a multilevel approach, we analyzed the relationship between self-reported parental psychopathology and their offsprings’ connectivity of four ER networks, as well as associations with self-reported youth psychopathology at a 3-year follow-up. Parental internalizing and total problems were associated with 1) higher connectivity between a subcortical-cortical integrative and ventrolateral prefrontal cortical (PFC) network, 2) lower connectivity between dorsolateral and ventrolateral PFC networks involved in cognitive aspects of ER, and 3) lower connectivity within a subcortical ER network (β = −0.05–0.04). Parental externalizing and total problems were associated with lower connectivity within the integrative network (βext = −0.05; βtot = −0.04). Mediation analyses yielded direct effects of parental to youth psychopathology, but no mediation effect of ER network connectivity. Overall, our results show that ER network connectivity in youth is related to parental psychopathology, yet do not explain intergenerational transmission of psychopathology.

• Ferschmann, Lia; Grydeland, Håkon; MacSweeney, Niamh; Beck, Dani; Bos, Marieke G.N. & Norbom, Linn Bonaventure [Show all 12 contributors for this article] (2024). The importance of timing of socioeconomic disadvantage throughout development for depressive symptoms and brain structure. Developmental Cognitive Neuroscience. ISSN 1878-9293. 69. doi: 10.1016/j.dcn.2024.101449. Full text in Research Archive Show summary

  Prior studies have reported associations between socioeconomic disadvantage, brain structure and mental health outcomes, but the timing of these relations is not well understood. Using prospective longitudinal data from the Avon Longitudinal Study of Parents and Children (ALSPAC), this preregistered study examined whether socioeconomic disadvantage related differentially to depressive symptoms (n=3012–3530) and cortical and subcortical structures (n=460–733) in emerging adults, depending on the timing of exposure to socioeconomic disadvantage. Family income in early childhood and own income measured concurrently were both significantly related to depressive symptoms in emerging adulthood. Similar results were observed for perceived financial strain. In contrast, only family income in early childhood was associated with brain structure in emerging adulthood, with positive associations with intracranial volume and total and regional cortical surface area. The findings suggest that both objective and subjective aspects of one’s financial standing throughout development relate to depressive symptoms in adulthood, but that specifically early life family income is related to brain structural features in emerging adulthood. This suggests that associations between socioeconomic disadvantage and brain structure originate early in neurodevelopment, highlighting the role of timing of socioeconomic disadvantage.

• Thijssen, Sandra; Xerxa, Yllza; Norbom, Linn Bonaventure; Cima, Maaike; Tiemeier, Henning & Tamnes, Christian Krog [Show all 7 contributors for this article] (2024). Early childhood family threat and longitudinal amygdala-mPFC circuit development: Examining cortical thickness and gray matter-white matter contrast. Developmental Cognitive Neuroscience. ISSN 1878-9293. 70. doi: 10.1016/j.dcn.2024.101462. Full text in Research Archive Show summary

  Early threat-associated cortical thinning may be interpreted as accelerated cortical development. However, non-adaptive processes may show similar macrostructural changes. Examining cortical thickness (CT) together with grey/white-matter contrast (GWC), a proxy for intracortical myelination, may enhance the interpretation of CT findings. In this prospective study, we examined associations between early life family-related threat (harsh parenting, family conflict, and neighborhood safety) and CT and GWC development from late childhood to middle adolescence. MRI was acquired from 4200 children (2069 boys) from the Generation R study at ages 8, 10 and 14 years (in total 6114 scans), of whom 1697 children had >1 scans. Linear mixed effect models were used to examine family factor-by-age interactions on amygdala volume, caudal and rostral anterior cingulate (ACC) and medial orbitofrontal cortex (mOFC) CT and GWC. A neighborhood safety-by-age-interaction was found for rostral ACC GWC, suggesting less developmental change in children from unsafe neighborhoods. Moreover, after more stringent correction for motion, family conflict was associated with greater developmental change in CT but less developmental change in GWC. Results suggest that early threat may blunt ACC GWC development. Our results, therefore, do not provide evidence for accelerated threat-associated structural development of the amygdala-mPFC circuit between ages 8–14 years.

• Jørgensen, Kjetil Nordbø; Nerland, Stener; Slapø, Nora Berz; Norbom, Linn Bonaventure; Mørch-Johnsen, Lynn Egeland & Wortinger, Laura Anne [Show all 13 contributors for this article] (2024). Assessing regional intracortical myelination in schizophrenia spectrum and bipolar disorders using the optimized T1w/T2w-ratio. Psychological Medicine. ISSN 0033-2917. 54(10), p. 2369–2379. doi: 10.1017/S0033291724000503. Full text in Research Archive Show summary

  Background Dysmyelination could be part of the pathophysiology of schizophrenia spectrum (SCZ) and bipolar disorders (BPD), yet few studies have examined myelination of the cerebral cortex. The ratio of T1- and T2-weighted magnetic resonance images (MRI) correlates with intracortical myelin. We investigated the T1w/T2w-ratio and its age trajectories in patients and healthy controls (CTR) and explored associations with antipsychotic medication use and psychotic symptoms. Methods Patients with SCZ (n = 64; mean age = 30.4 years, s.d. = 9.8), BPD (n = 91; mean age 31.0 years, s.d. = 10.2), and CTR (n = 155; mean age = 31.9 years, s.d. = 9.1) who participated in the TOP study (NORMENT, University of Oslo, Norway) were clinically assessed and scanned using a General Electric 3 T MRI system. T1w/T2w-ratio images were computed using an optimized pipeline with intensity normalization and field inhomogeneity correction. Vertex-wise regression models were used to compare groups and examine group × age interactions. In regions showing significant differences, we explored associations with antipsychotic medication use and psychotic symptoms. Results No main effect of diagnosis was found. However, age slopes of the T1w/T2w-ratio differed significantly between SCZ and CTR, predominantly in frontal and temporal lobe regions: Lower T1w/T2w-ratio values with higher age were found in CTR, but not in SCZ. Follow-up analyses revealed a more positive age slope in patients who were using antipsychotics and patients using higher chlorpromazine-equivalent doses. Conclusions While we found no evidence of reduced intracortical myelin in SCZ or BPD relative to CTR, different regional age trajectories in SCZ may suggest a promyelinating effect of antipsychotic medication.

• Norbom, Linn Bonaventure; Rokicki, Jaroslav; Eilertsen, Espen Moen; Wiker, Thea; Hanson, Jamie & Dahl, Andreas [Show all 13 contributors for this article] (2024). Parental education and income are linked to offspring cortical brain structure and psychopathology at 9–11 years. JCPP Advances. 4(1). doi: 10.1002/jcv2.12220. Full text in Research Archive Show summary

  Background A child's socioeconomic environment can shape central aspects of their life, including vulnerability to mental disorders. Negative environmental influences in youth may interfere with the extensive and dynamic brain development occurring at this time. Indeed, there are numerous yet diverging reports of associations between parental socioeconomic status (SES) and child cortical brain morphometry. Most of these studies have used single metric- or unimodal analyses of standard cortical morphometry that downplay the probable scenario where numerous biological pathways in sum account for SES-related cortical differences in youth. Methods To comprehensively capture such variability, using data from 9758 children aged 8.9–11.1 years from the ABCD Study®, we employed linked independent component analysis (LICA) and fused vertex-wise cortical thickness, surface area, curvature and grey-/white-matter contrast (GWC). LICA revealed 70 uni- and multimodal components. We then assessed the linear relationships between parental education, parental income and each of the cortical components, controlling for age, sex, genetic ancestry, and family relatedness. We also assessed whether cortical structure moderated the negative relationships between parental SES and child general psychopathology. Results Parental education and income were both associated with larger surface area and higher GWC globally, in addition to local increases in surface area and to a lesser extent bidirectional GWC and cortical thickness patterns. The negative relation between parental income and child psychopathology were attenuated in children with a multimodal pattern of larger frontal- and smaller occipital surface area, and lower medial occipital thickness and GWC. Conclusion Structural brain MRI is sensitive to SES diversity in childhood, with GWC emerging as a particularly relevant marker together with surface area. In low-income families, having a more developed cortex across MRI metrics, appears beneficial for mental health.

• Dahl, Andreas; Eilertsen, Espen Moen; Cabello, Sara Fernandez Rodriguez; Norbom, Linn B.; Tandberg, Anneli Desire & Leonardsen, Esten [Show all 11 contributors for this article] (2024). Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions. Developmental Cognitive Neuroscience. ISSN 1878-9293. 65. doi: 10.1016/j.dcn.2023.101339. Full text in Research Archive Show summary

  Linking the developing brain with individual differences in clinical and demographic traits is challenging due to the substantial interindividual heterogeneity of brain anatomy and organization. Here we employ an integrative approach that parses individual differences in both cortical thickness and common genetic variants, and assess their effects on a wide set of childhood traits. The approach uses a linear mixed model framework to obtain the unique effects of each type of similarity, as well as their covariance. We employ this approach in a sample of 7760 unrelated children in the ABCD cohort baseline sample (mean age 9.9, 46.8% female). In general, associations between cortical thickness similarity and traits were limited to anthropometrics such as height, weight, and birth weight, as well as a marker of neighborhood socioeconomic conditions. Common genetic variants explained significant proportions of variance across nearly all included outcomes, although estimates were somewhat lower than previous reports. No significant covariance of the effects of genetic and cortical thickness similarity was found. The present findings highlight the connection between anthropometrics as well as neighborhood socioeconomic conditions and the developing brain, which appear to be independent from individual differences in common genetic variants in this population-based sample.

• Tandberg, Anneli Desire; Dahl, Andreas; Norbom, Linn Bonaventure; Westlye, Lars Tjelta; Ystrøm, Eivind & Tamnes, Christian Krog [Show all 7 contributors for this article] (2024). Individual differences in internalizing symptoms in late childhood: A variance decomposition into cortical thickness, genetic and environmental differences. Developmental Science. ISSN 1363-755X. 27. doi: 10.1111/desc.13537. Full text in Research Archive Show summary

  The brain undergoes extensive development during late childhood and early adolescence. Cortical thinning is a prominent feature of this development, and some researchers have suggested that differences in cortical thickness may be related to internalizing symptoms, which typically increase during the same period. However, research has yielded inconclusive results. We utilized a new method that estimates the combined effect of individual differences in vertex-wise cortical thickness on internalizing symptoms. This approach allows for many small effects to be distributed across the cortex and avoids the necessity of correcting for multiple tests. Using a sample of 8763 children aged 8.9 to 11.1 from the ABCD study, we decomposed the total variation in caregiver-reported internalizing symptoms into differences in cortical thickness, additive genetics, and shared family environmental factors and unique environmental factors. Our results indicated that individual differences in cortical thickness accounted for less than 0.5% of the variation in internalizing symptoms. In contrast, the analysis revealed a substantial effect of additive genetics and family environmental factors on the different components of internalizing symptoms, ranging from 06% to 48% and from 0% to 34%, respectively. Overall, while this study found a minimal association between cortical thickness and internalizing symptoms, additive genetics, and familial environmental factors appear to be of importance for describing differences in internalizing symptoms in late childhood.

• Wiker, Thea; Alnæs, Dag; Pedersen, Mads Lund; Nordbom, Linn Bonaventure; Boer, Olga & Kjelkenes, Rikka [Show all 13 contributors for this article] (2024). Shared Patterns of Cognitive Control Behavior and Electrophysiological Markers in Adolescence. Journal of Cognitive Neuroscience. ISSN 0898-929X. 37(2), p. 372–413. doi: 10.1162/jocn_a_02272. Full text in Research Archive
• Karl, Valerie Christine; Engen, Haakon Gabrielsen; Beck, Dani; Norbom, Linn Bonaventure; Ferschmann, Lia & Aksnes, Eira Ranheim [Show all 13 contributors for this article] (2024). The role of functional emotion circuits in distinct dimensions of psychopathology in youth. Translational Psychiatry. 14(1). doi: 10.1038/s41398-024-03036-1. Full text in Research Archive Show summary

  Several mental disorders emerge during childhood or adolescence and are often characterized by socioemotional difficulties, including alterations in emotion perception. Emotional facial expressions are processed in discrete functional brain modules whose connectivity patterns encode emotion categories, but the involvement of these neural circuits in psychopathology in youth is poorly understood. This study examined the associations between activation and functional connectivity patterns in emotion circuits and psychopathology during development. We used task-based fMRI data from the Philadelphia Neurodevelopmental Cohort (PNC, N = 1221, 8–23 years) and conducted generalized psycho-physiological interaction (gPPI) analyses. Measures of psychopathology were derived from an independent component analysis of questionnaire data. The results showed positive associations between identifying fearful, sad, and angry faces and depressive symptoms, and a negative relationship between sadness recognition and positive psychosis symptoms. We found a positive main effect of depressive symptoms on BOLD activation in regions overlapping with the default mode network, while individuals reporting higher levels of norm-violating behavior exhibited emotion-specific lower functional connectivity within regions of the salience network and between modules that overlapped with the salience and default mode network. Our findings illustrate the relevance of functional connectivity patterns underlying emotion processing for behavioral problems in children and adolescents.

• Wiker, Thea; Pedersen, Mads Lund; Ferschmann, Lia; Beck, Dani; Norbom, Linn Christin Bonaventure & Dahl, Andreas [Show all 13 contributors for this article] (2023). Assessing the Longitudinal Associations Between Decision-Making Processes and Attention Problems in Early Adolescence. Research on Child and Adolescent Psychopathology. ISSN 2730-7166. 52, p. 803–817. doi: 10.1007/s10802-023-01148-8. Full text in Research Archive Show summary

  Abstract Cognitive functions and psychopathology develop in parallel in childhood and adolescence, but the temporal dynamics of their associations are poorly understood. The present study sought to elucidate the intertwined development of decision-making processes and attention problems using longitudinal data from late childhood (9–10 years) to mid-adolescence (11–13 years) from the Adolescent Brain Cognitive Development (ABCD) Study (n = 8918). We utilised hierarchical drift-diffusion modelling of behavioural data from the stop-signal task, parent-reported attention problems from the Child Behavior Checklist (CBCL), and multigroup univariate and bivariate latent change score models. The results showed faster drift rate was associated with lower levels of inattention at baseline, as well as a greater reduction of inattention over time. Moreover, baseline drift rate negatively predicted change in attention problems in females, and baseline attention problems negatively predicted change in drift rate. Neither response caution (decision threshold) nor encoding- and responding processes (non-decision time) were significantly associated with attention problems. There were no significant sex differences in the associations between decision-making processes and attention problems. The study supports previous findings of reduced evidence accumulation in attention problems and additionally shows that development of this aspect of decision-making plays a role in developmental changes in attention problems in youth.

• Beck, Dani; Ferschmann, Lia; MacSweeney, Niamh; Norbom, Linn Christin Bonaventure; Wiker, Thea & Aksnes, Eira Ranheim [Show all 15 contributors for this article] (2023). Puberty differentially predicts brain maturation in male and female youth: A longitudinal ABCD Study. Developmental Cognitive Neuroscience. ISSN 1878-9293. 61. doi: 10.1016/j.dcn.2023.101261. Full text in Research Archive Show summary

  Research has demonstrated associations between pubertal development and brain maturation. However, existing studies have been limited by small samples, cross-sectional designs, and inconclusive findings regarding directionality of effects and sex differences. We examined the longitudinal temporal coupling of puberty status assessed using the Pubertal Development Scale (PDS) and magnetic resonance imaging (MRI)-based grey and white matter brain structure. Our sample consisted of 8896 children and adolescents at baseline (mean age = 9.9) and 6099 at follow-up (mean age = 11.9) from the Adolescent Brain and Cognitive Development (ABCD) Study cohort. Applying multigroup Bivariate Latent Change Score (BLCS) models, we found that baseline PDS predicted the rate of change in cortical thickness among females and rate of change in cortical surface area for both males and females. We also found a correlation between baseline PDS and surface area and co-occurring changes over time in males. Diffusion tensor imaging (DTI) analyses revealed correlated change between PDS and fractional anisotropy (FA) for both males and females, but no significant associations for mean diffusivity (MD). Our results suggest that pubertal status predicts cortical maturation, and that the strength of the associations differ between sex. Further research spanning the entire duration of puberty is needed to understand the extent and contribution of pubertal development on the youth brain.

• Wiker, Thea; Norbom, Linn B.; Beck, Dani; Agartz, Ingrid; Andreassen, Ole A. & Alnæs, Dag [Show all 14 contributors for this article] (2023). Reaction Time Variability in Children Is Specifically Associated With Attention Problems and Regional White Matter Microstructure. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. ISSN 2451-9022. 8(8), p. 832–840. doi: 10.1016/j.bpsc.2023.03.010. Full text in Research Archive Show summary

  Background Increased intraindividual variability (IIV) in reaction times (RTs) has been suggested as a key cognitive and behavioral marker of attention problems, but findings for other dimensions of psychopathology are less consistent. Moreover, while studies have linked IIV to brain white matter microstructure, large studies testing the robustness of these associations are needed. Methods We used data from the Adolescent Brain Cognitive Development (ABCD) Study baseline assessment to test the associations between IIV and psychopathology (n = 8622, age = 8.9–11.1 years) and IIV and white matter microstructure (n = 7958, age = 8.9–11.1 years). IIV was investigated using an ex-Gaussian distribution analysis of RTs in correct response go trials in the stop signal task. Psychopathology was measured by the Child Behavior Checklist and a bifactor structural equation model was performed to extract a general p factor and specific factors reflecting internalizing, externalizing, and attention problems. To investigate white matter microstructure, fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were examined in 23 atlas-based tracts. Results Increased IIV in both short and long RTs was positively associated with the specific attention problems factor (Cohen’s d = 0.13 and d = 0.15, respectively). Increased IIV in long RTs was also positively associated with radial diffusivity in the left and right corticospinal tract (both tracts, d = 0.12). Conclusions Using a large sample and a data-driven dimensional approach to psychopathology, the results provide novel evidence for a small but specific association between IIV and attention problems in children and support previous findings on the relevance of white matter microstructure for IIV.

• Norbom, Linn Christin Bonaventure; Hanson, Jamie; Meer, Dennis van der; Ferschmann, Lia; Røysamb, Espen & Soest, Tilmann von [Show all 10 contributors for this article] (2022). Parental socioeconomic status is linked to cortical microstructure and language abilities in children and adolescents. Developmental Cognitive Neuroscience. ISSN 1878-9293. 56. doi: 10.1016/j.dcn.2022.101132. Full text in Research Archive Show summary

  Gradients in parental socioeconomic status (SES) are closely linked to important life outcomes in children and adolescents, such as cognitive abilities, school achievement, and mental health. Parental SES may also influence brain development, with several magnetic resonance imaging (MRI) studies reporting associations with youth brain morphometry. However, MRI signal intensity metrics have not been assessed, but could offer a microstructural correlate, thereby increasing our understanding of SES influences on neurobiology. We computed a parental SES score from family income, parental education and parental occupation, and assessed relations with cortical microstructure as measured by T1w/T2w ratio (n = 504, age = 3–21 years). We found negative age-stabile relations between parental SES and T1w/T2w ratio, indicating that youths from lower SES families have higher ratio in widespread frontal, temporal, medial parietal and occipital regions, possibly indicating a more developed cortex. Effect sizes were small, but larger than for conventional morphometric properties i.e. cortical surface area and thickness, which were not significantly associated with parental SES. Youths from lower SES families had poorer language related abilities, but microstructural differences did not mediate these relations. T1w/T2w ratio appears to be a sensitive imaging marker for further exploring the association between parental SES and child brain development.

• Fernandez-Cabello, Sara; Alnæs, Dag; Meer, Dennis van der; Dahl, Andreas; Holm, Madelene Christin & Kjelkenes, Rikka [Show all 12 contributors for this article] (2022). Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11. NeuroImage. ISSN 1053-8119. 263. doi: 10.1016/j.neuroimage.2022.119611. Full text in Research Archive Show summary

  Psychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes. Although the neurodevelopmental antecedents of mental illness are widely acknowledged, research in youth population cohorts is still scarce, preventing our progress towards the early characterization of these disorders. We included 7,124 children (9–11 years old) from the Adolescent Brain and Cognitive Development Study to map the associations of structural and diffusion brain imaging with common genetic variants and polygenic scores for psychiatric disorders and educational attainment. We used principal component analysis to derive imaging components, and calculated their heritability. We then assessed the relationship of imaging components with genetic and clinical psychiatric risk with univariate models and Canonical correlation analysis (CCA). Most imaging components had moderate heritability. Univariate models showed limited evidence and small associations of polygenic scores with brain structure at this age. CCA revealed two significant modes of covariation. The first mode linked higher polygenic scores for educational attainment with less externalizing problems and larger surface area. The second mode related higher polygenic scores for schizophrenia, bipolar disorder, and autism spectrum disorder to higher global cortical thickness, smaller white matter volumes of the fornix and cingulum, larger medial occipital surface area and smaller surface area of lateral and medial temporal regions. While cross-validation suggested limited generalizability, our results highlight the potential of multivariate models to better understand the transdiagnostic and distributed relationships between mental health and brain structure in late childhood.

• Kjelkenes, Rikka; Wolfers, Thomas; Alnæs, Dag; Norbom, Linn Christin Bonaventure; Voldsbekk, Irene & Holm, Madelene Christin [Show all 11 contributors for this article] (2022). Deviations from normative brain white and gray matter structure are associated with psychopathology in youth. Developmental Cognitive Neuroscience. ISSN 1878-9293. 58. doi: 10.1016/j.dcn.2022.101173. Full text in Research Archive Show summary

  Combining imaging modalities and metrics that are sensitive to various aspects of brain structure and maturation may help identify individuals that show deviations in relation to same-aged peers, and thus benefit early-risk-assessment for mental disorders. We used one timepoint multimodal brain imaging, cognitive, and questionnaire data from 1280 eight- to twenty-one-year-olds from the Philadelphia Neurodevelopmental Cohort. We estimated age-related gray and white matter properties and estimated individual deviation scores using normative modeling. Next, we tested for associations between the estimated deviation scores, and with psychopathology domain scores and cognition. More negative deviations in DTI-based fractional anisotropy (FA) and the first principal eigenvalue of the diffusion tensor (L1) were associated with higher scores on psychosis positive and prodromal symptoms and general psychopathology. A more negative deviation in cortical thickness (CT) was associated with a higher general psychopathology score. Negative deviations in global FA, surface area, L1 and CT were also associated with poorer cognitive performance. No robust associations were found between the deviation scores based on CT and DTI. The low correlations between the different multimodal magnetic resonance imaging-based deviation scores suggest that psychopathological burden in adolescence can be mapped onto partly distinct neurobiological features.

• Norbom, Linn Christin Bonaventure; Ferschmann, Lia; Parker, Nadine; Agartz, Ingrid; Andreassen, Ole Andreas & Paus, Tomas [Show all 8 contributors for this article] (2021). New insights into the dynamic development of the cerebral cortex in childhood and adolescence: Integrating macro- and microstructural MRI findings. Progress in Neurobiology. ISSN 0301-0082. 204, p. 1–19. doi: 10.1016/j.pneurobio.2021.102109. Full text in Research Archive Show summary

  Through dynamic transactional processes between genetic and environmental factors, childhood and adolescence involve reorganization and optimization of the cerebral cortex. The cortex and its development plays a crucial role for prototypical human cognitive abilities. At the same time, many common mental disorders appear during these critical phases of neurodevelopment. Magnetic resonance imaging (MRI) can indirectly capture several multifaceted changes of cortical macro- and microstructure, of high relevance to further our understanding of the neural foundation of cognition and mental health. Great progress has been made recently in mapping the typical development of cortical morphology. Moreover, newer less explored MRI signal intensity and specialized quantitative T2 measures have been applied to assess microstructural cortical development. We review recent findings of typical postnatal macro- and microstructural development of the cerebral cortex from early childhood to young adulthood. We cover studies of cortical volume, thickness, area, gyrification, T1-weighted (T1w) tissue contrasts such a grey/white matter contrast, T1w/T2w ratio, magnetization transfer and myelin water fraction. Finally, we integrate imaging studies with cortical gene expression findings to further our understanding of the underlying neurobiology of the developmental changes, bridging the gap between ex vivo histological- and in vivo MRI studies.

• Norbom, Linn Christin Bonaventure; Rokicki, Jaroslav; Meer, Dennis van der; Alnæs, Dag; Doan, Nhat Trung & Moberget, Torgeir [Show all 10 contributors for this article] (2020). Testing relationships between multimodal modes of brain structural variation and age, sex and polygenic scores for neuroticism in children and adolescents. Translational Psychiatry. 10(251). doi: 10.1038/s41398-020-00931-1. Full text in Research Archive Show summary

  Human brain development involves spatially and temporally heterogeneous changes, detectable across a wide range of magnetic resonance imaging (MRI) measures. Investigating the interplay between multimodal MRI and polygenic scores (PGS) for personality traits associated with mental disorders in youth may provide new knowledge about typical and atypical neurodevelopment. We derived independent components across cortical thickness, cortical surface area, and grey/white matter contrast (GWC) (n = 2596, 3–23 years), and tested for associations between these components and age, sex and-, in a subsample (n = 878), PGS for neuroticism. Age was negatively associated with a single-modality component reflecting higher global GWC, and additionally with components capturing common variance between global thickness and GWC, and several multimodal regional patterns. Sex differences were found for components primarily capturing global and regional surface area (boys > girls), but also regional cortical thickness. For PGS for neuroticism, we found weak and bidirectional associations with a component reflecting right prefrontal surface area. These results indicate that multimodal fusion is sensitive to age and sex differences in brain structure in youth, but only weakly to polygenic load for neuroticism.

• Norbom, Linn Christin Bonaventure; Rokicki, Jaroslav; Alnæs, Dag; Kaufmann, Tobias; Doan, Nhat Trung & Andreassen, Ole Andreas [Show all 8 contributors for this article] (2020). Maturation of cortical microstructure and cognitive development in childhood and adolescence: A T1w/T2w ratio MRI study. Human Brain Mapping. ISSN 1065-9471. 41(16), p. 4676–4690. doi: 10.1002/hbm.25149. Full text in Research Archive Show summary

  The restructuring and optimization of the cerebral cortex from early childhood and through adolescence is an essential feature of human brain development, underlying immense cognitive improvements. Beyond established morphometric cortical assessments, the T1w/T2w ratio quantifies partly separate biological processes, and might inform models of typical neurocognitive development and developmental psychopathology. In the present study, we computed vertex‐wise T1w/T2w ratio across the cortical surface in 621 youths (3–21 years) sampled from the Pediatric Imaging, Neurocognition, and Genetics (PING) study and tested for associations with individual differences in age, sex, and both general and specific cognitive abilities. The results showed a near global linear age‐related increase in T1w/T2w ratio across the brain surface, with a general posterior to anterior increasing gradient in association strength. Moreover, results indicated that boys in late adolescence had regionally higher T1w/T2w ratio as compared to girls. Across individuals, T1w/T2w ratio was negatively associated with general and several specific cognitive abilities mainly within anterior cortical regions. Our study indicates age‐related differences in T1w/T2w ratio throughout childhood, adolescence, and young adulthood, in line with the known protracted myelination of the cortex. Moreover, the study supports T1w/T2w ratio as a promising surrogate measure of individual differences in intracortical brain structure in neurodevelopment.

• Rokicki, Jaroslav; Wolfers, Thomas; Nordhøy, Wibeke; Tesli, Natalia; Quintana, Daniel & Alnæs, Dag [Show all 20 contributors for this article] (2020). Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders. Human Brain Mapping. ISSN 1065-9471. 42(6), p. 1714–1726. doi: 10.1002/hbm.25323. Full text in Research Archive Show summary

  The deviation between chronological age and age predicted using brain MRI is a putative marker of overall brain health. Age prediction based on structural MRI data shows high accuracy in common brain disorders. However, brain aging is complex and heterogenous, both in terms of individual differences and the underlying biological processes. Here, we implemented a multimodal model to estimate brain age using different combinations of cortical area, thickness and sub‐cortical volumes, cortical and subcortical T1/T2‐weighted ratios, and cerebral blood flow (CBF) based on arterial spin labeling. For each of the 11 models we assessed the age prediction accuracy in healthy controls (HC, n = 750) and compared the obtained brain age gaps (BAGs) between age‐matched subsets of HC and patients with Alzheimer's disease (AD, n = 54), mild (MCI, n = 90) and subjective (SCI, n = 56) cognitive impairment, schizophrenia spectrum (SZ, n = 159) and bipolar disorder (BD, n = 135). We found highest age prediction accuracy in HC when integrating all modalities. Furthermore, two‐group case–control classifications revealed highest accuracy for AD using global T1‐weighted BAG, while MCI, SCI, BD and SZ showed strongest effects in CBF‐based BAGs. Combining multiple MRI modalities improves brain age prediction and reveals distinct deviations in patients with psychiatric and neurological disorders. The multimodal BAG was most accurate in predicting age in HC, while group differences between patients and HC were often larger for BAGs based on single modalities. These findings indicate that multidimensional neuroimaging of patients may provide a brain‐based mapping of overlapping and distinct pathophysiology in common disorders.

• Bang, Lasse; Tamnes, Christian Krog; Norbom, Linn Christin Bonaventure; Thomassen, Rut Anne; Solberg, Jill & SKOTTE, LAILA HOLGERSEN [Show all 9 contributors for this article] (2020). Associations of age, body mass index and biochemical parameters with brain morphology in patients with anorexia nervosa. European Eating Disorders Review. ISSN 1072-4133. 29(1), p. 74–85. doi: 10.1002/erv.2803. Full text in Research Archive
• Moberget, Torgeir; Alnæs, Dag; Kaufmann, Tobias; Doan, Nhat Trung; Palomera, Aldo Còrdova & Norbom, Linn Christin Bonaventure [Show all 10 contributors for this article] (2019). Cerebellar Gray Matter Volume Is Associated With Cognitive Function and Psychopathology in Adolescence. Biological Psychiatry. ISSN 0006-3223. 86(1), p. 65–75. doi: 10.1016/j.biopsych.2019.01.019. Full text in Research Archive Show summary

  Background Accumulating evidence supports cerebellar involvement in mental disorders, such as schizophrenia, bipolar disorder, depression, anxiety disorders, and attention-deficit/hyperactivity disorder. However, little is known about the cerebellum in developmental stages of these disorders. In particular, whether cerebellar morphology is associated with early expression of specific symptom domains remains unclear. Methods We used machine learning to test whether cerebellar morphometric features could robustly predict general cognitive function and psychiatric symptoms in a large and well-characterized developmental community sample centered on adolescence (Philadelphia Neurodevelopmental Cohort, n = 1401, age 8–23 years). Results Cerebellar morphology was associated with both general cognitive function and general psychopathology (mean correlations between predicted and observed values: r = .20 and r = .13; p < .001). Analyses of specific symptom domains revealed significant associations with rates of norm-violating behavior ( r = .17; p < .001) as well as psychosis ( r = .12; p < .001) and anxiety ( r = .09; p = .012) symptoms. In contrast, we observed no associations with attention deficits or depressive, manic, or obsessive-compulsive symptoms. Crucially, across 52 brain-wide anatomical features, cerebellar features emerged as the most important for prediction of general psychopathology, psychotic symptoms, and norm-violating behavior. Moreover, the association between cerebellar volume and psychotic symptoms and, to a lesser extent, norm-violating behavior remained significant when adjusting for several potentially confounding factors. Conclusions The robust associations with psychiatric symptoms in the age range when these typically emerge highlight the cerebellum as a key brain structure in the development of severe mental disorders.

• Kaufmann, Tobias; Meer, Dennis van der; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette & Agartz, Ingrid [Show all 84 contributors for this article] (2019). Common brain disorders are associated with heritable patterns of apparent aging of the brain. Nature Neuroscience. ISSN 1097-6256. 22(10), p. 1617–1623. doi: 10.1038/s41593-019-0471-7. Full text in Research Archive Show summary

  Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data from 45,615 individuals aged 3–96 years, we demonstrate distinct patterns of apparent brain aging in several brain disorders and reveal genetic pleiotropy between apparent brain aging in healthy individuals and common brain disorders.

• Berg, Akiah Ottesen; Jørgensen, Kjetil Nordbø; Nerhus, Mari; Athanasiu, Lavinia; Popejoy, Alice & Bettella, Francesco [Show all 13 contributors for this article] (2018). Vitamin D levels, brain volume, and genetic architecture in patients with psychosis. PLOS ONE. 13(8). doi: 10.1371/journal.pone.0200250. Full text in Research Archive Show summary

  Background: Lower vitamin D levels are found in people with schizophrenia and depressive disorders, and also associated with neuroimaging abnormalities such as reduced brain volume in both animals and humans. Reduced whole brain and increased ventricular volume are also systematically reported in schizophrenia. Even though vitamin D deficiency has been proposed as a risk mechanism for schizophrenia there exist no studies to date of the association between vitamin D levels and brain volume in this population. Therefore, we investigated the relationship between vitamin D levels and brain phenotypes in psychotic disorders, and assessed possible interactions with genetic variants in vitamin D receptor (VDR) and other genetic variants that play a role in vitamin D levels in the body. Methods: Our sample consisted of 83 psychosis patients and 101 healthy controls. We measured vitamin D levels as serum 25-hydroxyvitamin D. All participants were genotyped and neuroimaging conducted by structural magnetic resonance imaging. Results: Vitamin D levels were significantly positively associated with peripheral grey matter volume in patients (β 860.6; 95% confidence interval (CI) 333.4–1466, p < .003). A significant interaction effect of BSML marker (rs1544410) was observed to mediate the association between patient status and both white matter volume (β 23603.3; 95% CI 2732.8–48708.6, p < .05) and whole brain volume (β 46670.6, 95% CI 8817.8–93888.3, p < .04). Vitamin D did not predict ventricular volume, which rather was associated with patient status (β 4423.3, 95% CI 1583.2–7267.8p < .002) and CYP24A1 marker (rs6013897) (β 2491.5, 95% CI 269.7–4978.5, p < .04). Conclusions: This is the first study of the association between vitamin D levels and brain volume in patients with psychotic disorders that takes into account possible interaction with genetic polymorphisms. The present findings warrant replication in independent samples.

• Elvsåshagen, Torbjørn; Mutsaerts, Henri J.M.M; Zak, Nathalia; Norbom, Linn Christin Bonaventure; Quiraishi, Sophia & Pedersen, Per Øystein Heiberg [Show all 11 contributors for this article] (2018). Cerebral blood flow changes after a day of wake, sleep, and sleep deprivation. NeuroImage. ISSN 1053-8119. 186, p. 497–509. doi: 10.1016/j.neuroimage.2018.11.032. Full text in Research Archive Show summary

  Elucidating the neurobiological effects of sleep and wake is an important goal of the neurosciences. Whether and how human cerebral blood flow (CBF) changes during the sleep-wake cycle remain to be clarified. Based on the synaptic homeostasis hypothesis of sleep and wake, we hypothesized that a day of wake and a night of sleep deprivation would be associated with gray matter resting CBF (rCBF) increases and that sleep would be associated with rCBF decreases. Thirty-eight healthy adult males (age 22.1 ± 2.5 years) underwent arterial spin labeling perfusion magnetic resonance imaging at three time points: in the morning after a regular night's sleep, the evening of the same day, and the next morning, either after total sleep deprivation (n = 19) or a night of sleep (n = 19). All analyses were adjusted for hematocrit and head motion. rCBF increased from morning to evening and decreased after a night of sleep. These effects were most prominent in bilateral hippocampus, amygdala, thalamus, and in the occipital and sensorimotor cortices. Group × time interaction analyses for evening versus next morning revealed significant interaction in bilateral lateral and medial occipital cortices and in bilateral insula, driven by rCBF increases in the sleep deprived individuals and decreases in the sleepers, respectively. Furthermore, group × time interaction analyses for first morning versus next morning showed significant effects in medial and lateral occipital cortices, in anterior cingulate gyrus, and in the insula, in both hemispheres. These effects were mainly driven by CBF increases from TP1 to TP3 in the sleep deprived individuals. There were no associations between the rCBF changes and sleep characteristics, vigilant attention, or subjective sleepiness that remained significant after adjustments for multiple analyses. Altogether, these results encourage future studies to clarify mechanisms underlying sleep-related rCBF changes.

• Norbom, Linn Christin Bonaventure; Doan, Nhat Trung; Alnæs, Dag; Kaufmann, Tobias; Moberget, Torgeir & Rokicki, Jaroslav [Show all 9 contributors for this article] (2018). Probing brain developmental patterns of myelination and associations with psychopathology in youths using gray/white matter contrast. Biological Psychiatry. ISSN 0006-3223. doi: 10.1016/j.biopsych.2018.09.027. Full text in Research Archive Show summary

  Background: Cerebral myeloarchitecture shows substantial development across childhood and adolescence, and aberrations in these trajectories are relevant for a range of mental disorders. Differential myelination between intracortical and subjacent white matter can be approximated using signal intensities in T1-weighted magnetic resonance imaging. Methods: To test the sensitivity of gray/white matter contrast (GWC) to age and individual differences in psychopathology and general cognitive ability in youths (8–23 years), we formed data-driven psychopathology and cognitive components using a large population-based sample, the Philadelphia Neurodevelopmental Cohort (N = 6487, 52% female). We then tested for associations with regional GWC defined by an independent component analysis in a subsample with available magnetic resonance imaging data (n = 1467, 53% female). Results: The analyses revealed a global GWC component, which showed an age-related decrease from late childhood and across adolescence. In addition, we found regional anatomically meaningful components with differential age associations explaining variance beyond the global component. When accounting for age and sex, both higher symptom levels of anxiety or prodromal psychosis and lower cognitive ability were associated with higher GWC in insula and cingulate cortices and with lower GWC in pre- and postcentral cortices. We also found several additional regional associations with anxiety, prodromal psychosis, and cognitive ability. Conclusions: Independent modes of GWC variation are sensitive to global and regional brain developmental processes, possibly related to differences between intracortical and subjacent white matter myelination, and individual differences in regional GWC are associated with both mental health and general cognitive functioning.

• Meer, Dennis van der; Rokicki, Jaroslav; Kaufmann, Tobias; Palomera, Aldo Còrdova; Moberget, Torgeir & Alnæs, Dag [Show all 54 contributors for this article] (2018). Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. Molecular Psychiatry. ISSN 1359-4184. p. 1–13. doi: 10.1038/s41380-018-0262-7. Full text in Research Archive Show summary

  The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex functions often impaired in individuals with brain disorders characterized by reduced hippocampal volume, including Alzheimer’s disease (AD) and schizophrenia. Given the structural and functional heterogeneity of the hippocampal formation, we sought to characterize the subfields’ genetic architecture. T1-weighted brain scans (n = 21,297, 16 cohorts) were processed with the hippocampal subfields algorithm in FreeSurfer v6.0. We ran a genome-wide association analysis on each subfield, co-varying for whole hippocampal volume. We further calculated the single-nucleotide polymorphism (SNP)-based heritability of 12 subfields, as well as their genetic correlation with each other, with other structural brain features and with AD and schizophrenia. All outcome measures were corrected for age, sex and intracranial volume. We found 15 unique genome-wide significant loci across six subfields, of which eight had not been previously linked to the hippocampus. Top SNPs were mapped to genes associated with neuronal differentiation, locomotor behaviour, schizophrenia and AD. The volumes of all the subfields were estimated to be heritable (h2 from 0.14 to 0.27, all p < 1 × 10–16) and clustered together based on their genetic correlations compared with other structural brain features. There was also evidence of genetic overlap of subicular subfield volumes with schizophrenia. We conclude that hippocampal subfields have partly distinct genetic determinants associated with specific biological processes and traits. Taking into account this specificity may increase our understanding of hippocampal neurobiology and associated pathologies.

• Quintana, Daniel; Elvsåshagen, Torbjørn; Zak, Nathalia; Norbom, Linn Christin Bonaventure; Pedersen, Per Øystein Heiberg & Quraishi, Sophia H. [Show all 12 contributors for this article] (2017). Diurnal Variation and twenty-four hour sleep deprivation do not alter supine heart rate variability in healthy male young adults. PLOS ONE. 12:e0170921(2), p. 1–16. doi: 10.1371/journal.pone.0170921. Full text in Research Archive Show summary

  Heart rate variability (HRV) has become an increasingly popular index of cardiac autonomic control in the biobehavioral sciences due to its relationship with mental illness and cognitive traits. However, the intraindividual stability of HRV in response to sleep and diurnal disturbances, which are commonly reported in mental illness, and its relationship with executive function are not well understood. Here, in 40 healthy adult males we calculated high frequency HRV-an index of parasympathetic nervous system (PNS) activity-using pulse oximetry during brain imaging, and assessed attentional and executive function performance in a subsequent behavioral test session at three time points: morning, evening, and the following morning. Twenty participants were randomly selected for total sleep deprivation whereas the other 20 participants slept as normal. Sleep deprivation and morning-tonight variation did not influence high frequency HRV at either a group or individual level; however, sleep deprivation abolished the relationship between orienting attention performance and HRV. We conclude that a day of wake and a night of laboratory-induced sleep deprivation do not alter supine high frequency HRV in young healthy male adults.

• Elvsåshagen, Torbjørn; Zak, Nathalia; Norbom, Linn Christin Bonaventure; Pedersen, Per Øystein Heiberg; Quraishi, Sophia H. & Bjørnerud, Atle [Show all 11 contributors for this article] (2017). Evidence for cortical structural plasticity in humans after a day of waking and sleep deprivation. NeuroImage. ISSN 1053-8119. 156, p. 214–223. doi: 10.1016/j.neuroimage.2017.05.027. Full text in Research Archive
• Jørgensen, Kjetil Nordbø; Nerland, Stener; Norbom, Linn Christin Bonaventure; Doan, Nhat Trung; Nesvåg, Ragnar & Mørch-Johnsen, Lynn [Show all 11 contributors for this article] (2016). Increased MRI-based cortical grey/white-matter contrast in sensory and motor regions in schizophrenia and bipolar disorder. Psychological Medicine. ISSN 0033-2917. 46(9), p. 1971–1985. doi: 10.1017/S0033291716000593. Full text in Research Archive
• Elvsåshagen, Torbjørn; Norbom, Linn Christin Bonaventure; Pedersen, Per Øystein Heiberg; Quraishi, Sophia H.; Bjørnerud, Atle & Malt, Ulrik Fredrik [Show all 8 contributors for this article] (2015). Widespread changes in white matter microstructure after a day of waking and sleep deprivation. PLOS ONE. 10:e0127351(5). doi: 10.1371/journal.pone.0127351. Full text in Research Archive Show summary

  Background Elucidating the neurobiological effects of sleep and waking remains an important goal of the neurosciences. Recently, animal studies indicated that sleep is important for cell membrane and myelin maintenance in the brain and that these structures are particularly susceptible to insufficient sleep. Here, we tested the hypothesis that a day of waking and sleep deprivation would be associated with changes in diffusion tensor imaging (DTI) indices of white matter microstructure sensitive to axonal membrane and myelin alterations. Methods Twenty-one healthy adult males underwent DTI in the morning [7:30AM; time point (TP)1], after 14 hours of waking (TP2), and then after another 9 hours of waking (TP3). Whole brain voxel-wise analysis was performed with tract based spatial statistics. Results A day of waking was associated with widespread increases in white matter fractional anisotropy, which were mainly driven by radial diffusivity reductions, and sleep deprivation was associated with widespread fractional anisotropy decreases, which were mainly explained by reductions in axial diffusivity. In addition, larger decreases in axial diffusivity after sleep deprivation were associated with greater sleepiness. All DTI changes remained significant after adjusting for hydration measures. Conclusions This is the first DTI study of sleep deprivation in humans. Although previous studies have observed localized changes in DTI indices of cerebral microstructure over the course of a few hours, further studies are needed to confirm widespread DTI changes within hours of waking and to clarify whether such changes in white matter microstructure serve as neurobiological substrates of sleepiness.

• Kaufmann, Tobias; Elvsåshagen, Torbjørn; Alnæs, Dag; Zak, Nathalia; Pedersen, Per Øystein Heiberg & Norbom, Linn Christin Bonaventure [Show all 17 contributors for this article] (2015). The brain functional connectome is robustly altered by lack of sleep. NeuroImage. ISSN 1053-8119. 127, p. 324–332. doi: 10.1016/j.neuroimage.2015.12.028. Full text in Research Archive Show summary

  Sleep is a universal phenomenon necessary for maintaining homeostasis and function across a range of organs. Lack of sleep has severe health-related consequences affecting whole-body functioning, yet no other organ is as severely affected as the brain. The neurophysiological mechanisms underlying these deficits are poorly understood. Here, we characterize the dynamic changes in brain connectivity profiles inflicted by sleep deprivation and how they deviate from regular daily variability. To this end, we obtained functional magnetic resonance imaging data from 60 young, adult male participants, scanned in the morning and evening of the same day and again the following morning. 41 participants underwent total sleep deprivation before the third scan, whereas the remainder had another night of regular sleep. Sleep deprivation strongly altered the connectivity of several resting-state networks, including dorsal attention, default mode, and hippocampal networks. Multivariate classification based on connectivity profiles predicted deprivation state with high accuracy, corroborating the robustness of the findings on an individual level. Finally, correlation analysis suggested that morning-to-evening connectivity changes were reverted by sleep (control group)-a pattern which did not occur after deprivation. We conclude that both, a day of waking and a night of sleep deprivation dynamically alter the brain functional connectome.

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• Norbom, Linn Christin Bonaventure; Hanson, Jamie; Meer, Dennis van der; Ferschmann, Lia; Røysamb, Espen & Soest, Tilmann von [Show all 10 contributors for this article] (2023). Erratum to “Parental socioeconomic status is linked to cortical microstructure and language abilities in children and adolescents” [Dev. Cogn. Neurosci. 56C (2022) 101132] (Developmental Cognitive Neuroscience (2022) 56, (S1878929322000755), (10.1016/j.dcn.2022.101132)). Developmental Cognitive Neuroscience. ISSN 1878-9293. 61. doi: 10.1016/j.dcn.2023.101225. Full text in Research Archive
• Beck, Dani; Ferschmann, Lia; MacSweeney, Niamh; Fridman, Linn Bonaventure; Wiker, Thea & Aksnes, Eira Ranheim [Show all 15 contributors for this article] (2023). Puberty differentially predicts brain maturation in males and females: A longitudinal ABCD Study. Full text in Research Archive
• Kaufmann, Tobias; Meer, Dennis van der; Doan, Nhat Trung; Schwarz, Emanuel; Lund, Martina Jonette & Agartz, Ingrid [Show all 97 contributors for this article] (2020). Publisher Correction: Common brain disorders are associated with heritable patterns of apparent aging of the brain (Nature Neuroscience, (2019), 22, 10, (1617-1623), 10.1038/s41593-019-0471-7). Nature Neuroscience. ISSN 1097-6256. 23(2), p. 295–295. doi: 10.1038/s41593-019-0553-6. Full text in Research Archive
• Jørgensen, Kjetil Nordbø; Nerland, Stener; Norbom, Linn Christin Bonaventure; Doan, Nhat Trung; Nesvåg, Ragnar & Haukvik, Unn Kristin H. [Show all 10 contributors for this article] (2015). Increased cortical gray/white matter intensity contrast in schizophrenia and bipolar disorder compared to healthy controls. Full text in Research Archive

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