This title appears in the Scientific Report :
2020
Please use the identifier:
http://dx.doi.org/10.1016/j.neubiorev.2020.05.015 in citations.
Please use the identifier: http://hdl.handle.net/2128/26218 in citations.
Mapping common grey matter volume deviation across child and adolescent psychiatric disorders
Mapping common grey matter volume deviation across child and adolescent psychiatric disorders
Childhood and adolescence represent a time notable for the emergence of many psychiatric disorders, where comorbidity and co-occurrence of symptoms are well-documented. However, it remains unclear whether there exists common brain structural disturbance across psychiatric disorders in youth. Here, w...
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Personal Name(s): | Li, Ting |
---|---|
Wang, Ling / Camilleri, Julia / Chen, Xinling / Li, Suiqing / Stewart, Jennifer L. / Jiang, Yali / Eickhoff, Simon B. / Feng, Chunliang (Corresponding author) | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Published in: | Neuroscience & biobehavioral reviews, 115 (2020) S. 273 - 284 |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2020
|
PubMed ID: |
32485265 |
DOI: |
10.1016/j.neubiorev.2020.05.015 |
Document Type: |
Journal Article |
Research Program: |
(Dys-)function and Plasticity |
Link: |
Published on 2020-05-30. Available in OpenAccess from 2021-11-30. |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/26218 in citations.
Childhood and adolescence represent a time notable for the emergence of many psychiatric disorders, where comorbidity and co-occurrence of symptoms are well-documented. However, it remains unclear whether there exists common brain structural disturbance across psychiatric disorders in youth. Here, we conduct a transdiagnostic meta-analysis of 132 structural neuroimaging experiments in youth consisting of multiple psychiatric diagnoses. Compared to healthy peers, youth psychiatric disorders are characterized by reduced grey matter volume (GMV) of amygdala and lateral orbitofrontal cortex and enhanced GMV of ventromedial prefrontal cortex and precuneus. These four regions were then subjected to functional connectivity and decoding analyses based on healthy participant datasets, allowing for a data-driven quantitative inference on psychophysiological functions. These regions and their networks mapped onto systems implicated in negative valence, positive valence, as well as social and cognitive functioning. Together, our findings are consistent with transdiagnostic models of psychopathology, uncovering common structural disturbance across youth psychiatric disorders, potentially reflecting an intermediate transdiagnostic phenotype in association with broad dimensions of youth psychopathology. |