Lars Tjelta Westlye

Head of Research - Department of Psychology
Image of Lars Tjelta Westlye
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Phone +47-97163221
Available hours By agreement
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Visiting address Psykologisk institutt Postboks 1094 Blindern 0317 Oslo
Postal address Psykologisk institutt Postboks 1094 Blindern 0317 Oslo

Academic interests

I am a professor at the Department of Psychology, University of Oslo and Core Researcher and group leader at the Norwegian Center for Mental Disorders Research (NORMENT), Oslo University Hospital/University of Oslo.

Identifying mechanisms of disease is of vital importance to increase patient care and develop safe and effective treatment approaches. The heterogeneity and complexity of mental illnesses and other disorders of brain biology can only be fully appreciated by employing a cross-disciplinary and translational effort, preferably combined with a lifespan perspective.

Advanced neuroimaging techniques including MRI have revolutionized the understanding of the structural and functional makeup of the human brain. Structural and functional brain features are highly heritable, and our current research aims at characterizing the cognitive, brain and genetic mechanisms of severe neuropsychiatric disorders, in particular schizophrenia and bipolar spectrum disorders. In addition, in order to address questions pertaining to the clinical sensitivity and specificity of our results, we are aiming to compare and validate our findings across a range of brain disorders through a close collaboration with several clinical research groups. In addition, using brain network modeling approaches we are approaching the cognitive neuroscience of attention and memory functions, and questions related to the potential and mechanisms of neuroplasticity, both in clinical and non-clinical populations.

My research group utilizes various advanced MRI neuroimaging data and analysis approaches, with a particular emphasis on measures of structural (diffusion tensor imaging, DTI) and functional connectivity (functional magnetic resonance imaging, fMRI), and its integration using multimodal analysis approaches. In particular, by applying machine learning algorithms, we are investigating the clinical and cognitive sensitivity and specificity of various brain network-modeling approaches, including principles from graph theory.

In addition to the extended inter-disciplinary network of researchers at NORMENT and other clinical research groups at Oslo University Hospital, we are working closely with world-class international research groups, including the FMRIB Centre, Oxford University, and MMIL, UCSD.

Students interested in pursuing a cand psychol, MA or PhD within any of these areas of research are encouraged to contact me.

 

Higher education and employment history

Education

  • 2011 PhD, University of Oslo

  • 2007 Cand. Psychol. (professionally oriented degree in psychology), University of Oslo, accredited psychologist 2008

Employment history

  • 2011 - 2012 Postdoctoral research fellow, Department of Psychology, University of Oslo
  • 2011 Visiting Researcher, Multimodal Imaging Laboratory (MMIL), University of California San Diego, USA

  • 2011 - Postdoctoral Research Fellow (research council of Norway), Center for the Study of Human Cognition, University of Oslo

  • 2010 - 2011 Visiting Researcher, Oxford Centre for functional MRI of the Brain (FMRIB), University of Oxford, UK

  • 2008 - 2011 PhD Research Fellow (The Research Council of Norway), Center for the Study of Human Cognition, Institute of Psychology, University of Oslo

  • 2006 - 2007 Student Research Fellow (part time) (The Research Council of Norway), Department of Psychology, University of Oslo

  • 2005 Student Research Fellow (full time) (The Research Council of Norway), Department of Psychology, University of Oslo

Tags: Cognitive neuroscience, Neuroscience, Psychiatry, Neuropsychology

Publications

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  • Korbmacher, Max; van der Meer, Dennis; Beck, Dani; Lange, Ann-Marie Glasø de; Eikefjord, Eli Nina Hølleland & Lundervold, Arvid [Show all 9 contributors for this article] (2024). Brain asymmetries from mid- to late life and hemispheric brain age. Nature Communications. ISSN 2041-1723. 15(1). doi: 10.1038/s41467-024-45282-3.
  • Korbmacher, Max; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina Hølleland & Lundervold, Arvid [Show all 9 contributors for this article] (2023). Fornix and forceps are key regions of white matter brain age. Full text in Research Archive
  • Korbmacher, Max; Wang, Meng-yun; Eikeland, Rune; Buchert, Ralph; Andreassen, Ole & Espeseth, Thomas [Show all 10 contributors for this article] (2023). Field strength and potentially scan quality influence brain age estimates. Full text in Research Archive
  • Korbmacher, Max; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani; Eikefjord, Eli Nina Hølleland & Lundervold, Arvid [Show all 9 contributors for this article] (2023). Regional grey and white matter asymmetry decreases at higher ages. Full text in Research Archive
  • Korbmacher, Max; Gurholt, Tiril Pedersen; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani & Eikefjord, Eli Nina Hølleland [Show all 10 contributors for this article] (2023). Brain age estimates from different white matter microstructure features associate concordantly with bio-psycho-social factors. Full text in Research Archive
  • Korbmacher, Max; Gurholt, Tiril Pedersen; de Lange, Ann-Marie Glasø; van der Meer, Dennis; Beck, Dani & Eikefjord, Eli Nina Hølleland [Show all 10 contributors for this article] (2023). White matter microstructure is predictive of cardiometabolic health. Full text in Research Archive
  • Norbom, Linn Christin Bonaventure; Hanson, Jamie; van der Meer, Dennis; Ferschmann, Lia; Røysamb, Espen & von Soest, Tilmann [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.
  • Voldsbekk, Irene; Groote, Inge Rasmus; Zak, Nathalia; Roelfs, Daniël; Geier, Oliver & Due-Tønnessen, Paulina [Show all 14 contributors for this article] (2023). Corrigendum to “Sleep and sleep deprivation differentially alter white matter microstructure: A mixed model design utilising advanced diffusion modelling”. NeuroImage. ISSN 1053-8119. 270. doi: 10.1016/j.neuroimage.2023.119939.
  • Rokicki, Jaroslav; Quintana, Daniel & Westlye, Lars Tjelta (2022). Linking Central Gene Expression Patterns and Mental States Using Transcriptomics and Large-Scale Meta-Analysis of fMRI Data: A Tutorial and Example Using the Oxytocin Signaling Pathway. Methods in molecular biology. ISSN 1064-3745. 2384, p. 127–137. doi: 10.1007/978-1-0716-1759-5_8.
  • Korbmacher, Max; Glasø de Lange, An-Marie; Eikefjord, Eli Nina; van der Meer, Dennis; Lundervold, Arvid & Andreassen, Ole A [Show all 8 contributors for this article] (2022). Brain-wide associations between white matter and age: fornix microstructure drives brain age.
  • Corfield, Elizabeth Claire; Frei, Oleksandr; Shadrin, Alexey; Rahman, Zillur; Lin, Aihua & Athanasiu, Lavinia [Show all 26 contributors for this article] (2022). The Norwegian Mother, Father, and Child cohort study (MoBa) genotyping data resource: the MoBaPsychGen_v1 pipeline.
  • Corfield, Elizabeth Claire; Frei, Oleksandr; Shadrin, Alexey; Rahman, Zillur; Lin, Aihua & Athanasiu, Lavinia [Show all 26 contributors for this article] (2022). The Norwegian Mother, Father, and Child cohort study (MoBa) genotyping data resource: MoBaPsychGen pipeline v.1. Cold Spring Harbor Laboratory Press (CSHL). ISSN 2692-8205. (2022).

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Published Sep. 21, 2010 10:03 AM - Last modified Mar. 14, 2023 12:56 PM