Cargando…

Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage

Incidence of schizophrenia (SZ) has two predominant peaks, in adolescent and young adult. Early‐onset schizophrenia provides an opportunity to explore the neuropathology of SZ early in the disorder and without the confound of antipsychotic mediation. However, it remains unexplored what deficits are...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Aichen, Luo, Na, Zhao, Wentao, Calhoun, Vince D., Jiang, Rongtao, Zhi, Dongmei, Shi, Weiyang, Jiang, Tianzi, Yu, Shan, Xu, Yong, Liu, Sha, Sui, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248316/
https://www.ncbi.nlm.nih.gov/pubmed/35388581
http://dx.doi.org/10.1002/hbm.25862
_version_ 1784739344402087936
author Feng, Aichen
Luo, Na
Zhao, Wentao
Calhoun, Vince D.
Jiang, Rongtao
Zhi, Dongmei
Shi, Weiyang
Jiang, Tianzi
Yu, Shan
Xu, Yong
Liu, Sha
Sui, Jing
author_facet Feng, Aichen
Luo, Na
Zhao, Wentao
Calhoun, Vince D.
Jiang, Rongtao
Zhi, Dongmei
Shi, Weiyang
Jiang, Tianzi
Yu, Shan
Xu, Yong
Liu, Sha
Sui, Jing
author_sort Feng, Aichen
collection PubMed
description Incidence of schizophrenia (SZ) has two predominant peaks, in adolescent and young adult. Early‐onset schizophrenia provides an opportunity to explore the neuropathology of SZ early in the disorder and without the confound of antipsychotic mediation. However, it remains unexplored what deficits are shared or differ between adolescent early‐onset (EOS) and adult‐onset schizophrenia (AOS) patients. Here, based on 529 participants recruited from three independent cohorts, we explored AOS and EOS common and unique co‐varying patterns by jointly analyzing three MRI features: fractional amplitude of low‐frequency fluctuations (fALFF), gray matter (GM), and functional network connectivity (FNC). Furthermore, a prediction model was built to evaluate whether the common deficits in drug‐naive SZ could be replicated in chronic patients. Results demonstrated that (1) both EOS and AOS patients showed decreased fALFF and GM in default mode network, increased fALFF and GM in the sub‐cortical network, and aberrant FNC primarily related to middle temporal gyrus; (2) the commonly identified regions in drug‐naive SZ correlate with PANSS positive significantly, which can also predict PANSS positive in chronic SZ with longer duration of illness. Collectively, results suggest that multimodal imaging signatures shared by two types of drug‐naive SZ are also associated with positive symptom severity in chronic SZ and may be vital for understanding the progressive schizophrenic brain structural and functional deficits.
format Online
Article
Text
id pubmed-9248316
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-92483162022-07-05 Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage Feng, Aichen Luo, Na Zhao, Wentao Calhoun, Vince D. Jiang, Rongtao Zhi, Dongmei Shi, Weiyang Jiang, Tianzi Yu, Shan Xu, Yong Liu, Sha Sui, Jing Hum Brain Mapp Research Articles Incidence of schizophrenia (SZ) has two predominant peaks, in adolescent and young adult. Early‐onset schizophrenia provides an opportunity to explore the neuropathology of SZ early in the disorder and without the confound of antipsychotic mediation. However, it remains unexplored what deficits are shared or differ between adolescent early‐onset (EOS) and adult‐onset schizophrenia (AOS) patients. Here, based on 529 participants recruited from three independent cohorts, we explored AOS and EOS common and unique co‐varying patterns by jointly analyzing three MRI features: fractional amplitude of low‐frequency fluctuations (fALFF), gray matter (GM), and functional network connectivity (FNC). Furthermore, a prediction model was built to evaluate whether the common deficits in drug‐naive SZ could be replicated in chronic patients. Results demonstrated that (1) both EOS and AOS patients showed decreased fALFF and GM in default mode network, increased fALFF and GM in the sub‐cortical network, and aberrant FNC primarily related to middle temporal gyrus; (2) the commonly identified regions in drug‐naive SZ correlate with PANSS positive significantly, which can also predict PANSS positive in chronic SZ with longer duration of illness. Collectively, results suggest that multimodal imaging signatures shared by two types of drug‐naive SZ are also associated with positive symptom severity in chronic SZ and may be vital for understanding the progressive schizophrenic brain structural and functional deficits. John Wiley & Sons, Inc. 2022-04-07 /pmc/articles/PMC9248316/ /pubmed/35388581 http://dx.doi.org/10.1002/hbm.25862 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Feng, Aichen
Luo, Na
Zhao, Wentao
Calhoun, Vince D.
Jiang, Rongtao
Zhi, Dongmei
Shi, Weiyang
Jiang, Tianzi
Yu, Shan
Xu, Yong
Liu, Sha
Sui, Jing
Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
title Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
title_full Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
title_fullStr Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
title_full_unstemmed Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
title_short Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
title_sort multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248316/
https://www.ncbi.nlm.nih.gov/pubmed/35388581
http://dx.doi.org/10.1002/hbm.25862
work_keys_str_mv AT fengaichen multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT luona multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT zhaowentao multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT calhounvinced multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT jiangrongtao multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT zhidongmei multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT shiweiyang multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT jiangtianzi multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT yushan multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT xuyong multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT liusha multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage
AT suijing multimodalbraindeficitssharedinearlyonsetandadultonsetschizophreniapredictpositivesymptomsregardlessofillnessstage