Madelene Christin Holm

• Marjanovic, Sara Berger; Holm, Madelene Christin; Kjelkenes, Rikka; Voldsbekk, Irene; Barth, Claudia & Westlye, Lars Tjelta (2025). Assessing brain morphological correlates of premenstrual symptoms in young healthy females. Journal of Affective Disorders Reports. 20. doi: 10.1016/j.jadr.2025.100916. Full text in Research Archive
• Kjelkenes, Rikka; Fernandez-Cabello, Sara; Voldsbekk, Irene; Holm, Madelene Christin; Dahl, Andreas & Lofthus, Ingvild S. [Show all 10 contributors for this article] (2025). Linking Psychotic-Like Experiences and Brain White Matter Microstructure in Young Women. Brain and Behavior. 15(6), p. 1–12. doi: 10.1002/brb3.70587. Full text in Research Archive Show summary

  Background Psychotic-like experiences (PLE) represent a risk factor for later psychotic disorders and a marker for general mental distress. The connectivity and microstructure of key brain white matter pathways, including fronto–temporal trajectories, have been implicated in psychosis and psychosis-risk. Although sex differences in PLE prevalence and characteristics have been reported, most neuroimaging studies of PLE have primarily included mixed-sex, samples and little research has been carried out in females only. This study examines the associations between PLE and white matter characteristics in young to middle-aged females. Methods We analyzed cross-sectional diffusion magnetic resonance imaging (dMRI) and self-reported data from 661 females aged 9–44 years using the 15-item version of The Community Assessment of Psychic Experiences (CAPE) questionnaire. Associations between CAPE subscales and other psychopathology measures were tested. Using linked independent component analysis (LICA), we decomposed the voxel-wise data from 24 dMRI metrics across five different diffusion models into 10 spatially independent components. We then examined the association between the LICA subject weights and age. Next, we tested for associations between the LICA subject weights and both CAPE total and subscales scores using Bayesian statistics. Results PLE were broadly associated with various domains of psychopathology and psychosocial factors. Moderate evidence emerged for an association between PLE and an LICA component reflecting a broad and complex pattern of diffusivity in major pathways, including the inferior fronto– occipital fasciculus, anterior thalamic radiation, and forceps minor. The persecutory ideations subscale showed the strongest evidence of an effect. Conclusion PLE in young females are associated with a distinct multimodal white matter pattern reflecting microstructural characteristics in key commissural, association, and thalamocortical pathways in young females. The findings support that LICA is a valuable tool for fusing and decomposing advanced dMRI metrics to delineate white matter patterns that show sensitivity to PLE and mental distress.

• Voldsbekk, Irene; Kjelkenes, Rikka; Dahl, Andreas; Holm, Madelene Christin; Lund, Martina Jonette & Kaufmann, Tobias Herbert [Show all 10 contributors for this article] (2023). Delineating disorder-general and disorder-specific dimensions of psychopathology from functional brain networks in a developmental clinical sample. Developmental Cognitive Neuroscience. ISSN 1878-9293. 62. doi: 10.1016/j.dcn.2023.101271. Full text in Research Archive Show summary

  The interplay between functional brain network maturation and psychopathology during development remains elusive. To establish the structure of psychopathology and its neurobiological mechanisms, mapping of both shared and unique functional connectivity patterns across developmental clinical populations is needed. We investigated shared associations between resting-state functional connectivity and psychopathology in children and adolescents aged 5–21 (n =1689). Specifically, we used partial least squares (PLS) to identify latent variables (LV) between connectivity and both symptom scores and diagnostic information. We also investigated associations between connectivity and each diagnosis specifically, controlling for other diagnosis categories. PLS identified five significant LVs between connectivity and symptoms, mapping onto the psychopathology hierarchy. The first LV resembled a general psychopathology factor, followed by dimensions of internalising- externalising, neurodevelopment, somatic complaints, and thought problems. Another PLS with diagnostic data revealed one significant LV, resembling a cross-diagnostic case-control pattern. The diagnosis-specific PLS identified a unique connectivity pattern for autism spectrum disorder (ASD). All LVs were associated with distinct patterns of functional connectivity. These dimensions largely replicated in an independent sample (n = 420) from the same dataset, as well as to an independent cohort (n =3504). This suggests that covariance in developmental functional brain networks supports transdiagnostic dimensions of psychopathology.

• 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.

• Holm, Madelene Christin; Leonardsen, Esten Høyland; Beck, Dani; Dahl, Andreas; Kjelkenes, Rikka & Lange, Ann-Marie Glasø de [Show all 7 contributors for this article] (2023). Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort. Developmental Cognitive Neuroscience. ISSN 1878-9293. 60. doi: 10.1016/j.dcn.2023.101220. Full text in Research Archive Show summary

  The temporal characteristics of adolescent neurodevelopment are shaped by a complex interplay of genetic, biological, and environmental factors. Using a large longitudinal dataset of children aged 9–13 from the Adolescent Brain Cognitive Development (ABCD) study we tested the associations between pubertal status and brain maturation. Brain maturation was assessed using brain age prediction based on convolutional neural networks and minimally processed T1-weighted structural MRI data. Brain age prediction provided highly accurate and reliable estimates of individual age, with an overall mean absolute error of 0.7 and 1.4 years at the two timepoints respectively, and an intraclass correlation of 0.65. Linear mixed effects (LME) models accounting for age and sex showed that on average, a one unit increase in pubertal maturational level was associated with a 2.22 months higher brain age across time points (β = 0.10, p < .001). Moreover, annualized change in pubertal development was weakly related to the rate of change in brain age (β = .047, p = 0.04). These results demonstrate a link between sexual development and brain maturation in early adolescence, and provides a basis for further investigations of the complex sociobiological impacts of puberty on life outcomes.

• 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.

View all works in NVA

• 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

View all works in NVA