Literature DB >> 32584945

Assessment of Neurobiological Mechanisms of Cortical Thinning During Childhood and Adolescence and Their Implications for Psychiatric Disorders.

Nadine Parker1,2, Yash Patel1,2, Andrea P Jackowski3,4, Pedro M Pan5, Giovanni Abrahao Salum3,6, Zdenka Pausova7, Tomáš Paus1,2,8.   

Abstract

Importance: Many psychiatric disorders can be conceptualized as disorders of brain maturation during childhood and adolescence. Discovering the neurobiological underpinnings of brain maturation may elucidate molecular pathways of vulnerability and resilience to such disorders. Objective: To investigate the underlying neurobiological mechanisms of age-associated cortical thinning during maturation and their implications for psychiatric disorders. Design, Setting, and Participants: This multicohort analysis used data from 3 community-based studies. The Saguenay Youth Study provided data from 1024 adolescents who were recruited at a single site in Quebec, Canada. The IMAGEN cohort provided data from 1823 participants who were recruited in 8 European cities. The Brazil High Risk Cohort Study for the Development of Childhood Psychiatric Disorders provided data from 815 participants who were recruited in 2 Brazilian cities. Cortical thickness was estimated from the results of magnetic resonance imaging (MRI) scans, and age-associated cortical thinning was estimated in 34 cortical regions. Gene expression from the Allen Human Brain Atlas was aligned with the same regions. Similarities in the interregional profiles of gene expression and the profiles of age-associated cortical thinning were measured. The involvement of dendrites, dendritic spines, and myelin was tested using 3 gene panels. Enrichment for genes associated with psychiatric disorders was tested among the genes associated with thinning and their coexpression networks. Data analysis was conducted between March and October 2019. Main Outcomes and Measures: MRI-derived estimates of age-associated cortical thinning and gene expression in 34 cortical regions.
Results: A total of 3596 individuals aged 9 to 21 years were included in this study. Of those, 1803 participants (50.1%) were female, and the mean (SD) age was 15.2 (2.6) years. Interregional profiles of age-associated cortical thinning were associated with interregional gradients in the expression of genes associated with dendrites, dendritic spines, and myelin; the variance in thinning explained by the gene panels across different points ranged from 0.45% to 10.55% for the dendrite panel, 0.00% to 9.98% for the spine panel, and 0.19% to 26.39% for the myelin panel. These genes and their coexpression networks were enriched for genes associated with several psychiatric disorders. Conclusions and Relevance: In this study, genetic similarity between interregional variation in cortical thinning during maturation and multiple psychiatric disorders suggests overlapping molecular underpinnings. This finding adds to the understanding of the neurodevelopmental mechanisms of psychiatric disorders.

Entities:  

Mesh:

Year:  2020        PMID: 32584945      PMCID: PMC7301307          DOI: 10.1001/jamapsychiatry.2020.1495

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   25.911


  11 in total

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3.  Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men.

Authors:  Zhijie Liao; Yash Patel; Ammar Khairullah; Nadine Parker; Tomas Paus
Journal:  Cereb Cortex       Date:  2021-05-10       Impact factor: 5.357

4.  The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets.

Authors:  Sara Larivière; Casey Paquola; Bo-Yong Park; Jessica Royer; Yezhou Wang; Oualid Benkarim; Reinder Vos de Wael; Sofie L Valk; Sophia I Thomopoulos; Matthias Kirschner; Lindsay B Lewis; Alan C Evans; Sanjay M Sisodiya; Carrie R McDonald; Paul M Thompson; Boris C Bernhardt
Journal:  Nat Methods       Date:  2021-07       Impact factor: 47.990

5.  Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning.

Authors:  Max M Owens; Matthew D Albaugh; Nicholas Allgaier; Dekang Yuan; Gabriel Robert; Renata B Cupertino; Philip A Spechler; Anthony Juliano; Sage Hahn; Tobias Banaschewski; Arun L W Bokde; Sylvane Desrivières; Herta Flor; Antoine Grigis; Penny Gowland; Andreas Heinz; Rüdiger Brühl; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Eric Artiges; Frauke Nees; Dimitri Papadopoulos Orfanos; Herve Lemaitre; Tomáš Paus; Luise Poustka; Sabina Millenet; Juliane H Fröhner; Michael N Smolka; Henrik Walter; Robert Whelan; Scott Mackey; Gunter Schumann; Hugh Garavan
Journal:  Transl Psychiatry       Date:  2022-05-06       Impact factor: 7.989

6.  Cellular correlates of cortical thinning throughout the lifespan.

Authors:  Didac Vidal-Pineiro; Nadine Parker; Jean Shin; Leon French; Håkon Grydeland; Andrea P Jackowski; Athanasia M Mowinckel; Yash Patel; Zdenka Pausova; Giovanni Salum; Øystein Sørensen; Kristine B Walhovd; Tomas Paus; Anders M Fjell
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

7.  Immune-Related Genetic Overlap Between Regional Gray Matter Reductions and Psychiatric Symptoms in Adolescents, and Gene-Set Validation in a Translational Model.

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Journal:  Front Syst Neurosci       Date:  2021-09-30

Review 8.  Integrative Brain Dynamics in Childhood Bullying Victimization: Cognitive and Emotional Convergence Associated With Stress Psychopathology.

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9.  Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies.

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10.  Timing and Type of Early Psychopathology Symptoms Predict Longitudinal Change in Cortical Thickness From Middle Childhood Into Early Adolescence.

Authors:  Katherine R Luking; Robert J Jirsaraie; Rebecca Tillman; Joan L Luby; Deanna M Barch; Aristeidis Sotiras
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-14
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