Cargando…

Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia

High-risk populations of schizophrenia can be mainly identified as genetic high-risk based on putative endophenotypes or ultra-high-risk (UHR) based on clinically manifested symptoms. Previous studies have consistently shown brain structural abnormalities in both genetic high-risk and UHR individual...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Bei, Li, Xian-Bin, Ruan, Sen, Wu, Yu-Xin, Zhang, Chao-Yue, Wang, Chuan-Yue, Wang, Lu-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261104/
https://www.ncbi.nlm.nih.gov/pubmed/35853913
http://dx.doi.org/10.1038/s41537-022-00261-9
_version_ 1784742200406441984
author Lin, Bei
Li, Xian-Bin
Ruan, Sen
Wu, Yu-Xin
Zhang, Chao-Yue
Wang, Chuan-Yue
Wang, Lu-Bin
author_facet Lin, Bei
Li, Xian-Bin
Ruan, Sen
Wu, Yu-Xin
Zhang, Chao-Yue
Wang, Chuan-Yue
Wang, Lu-Bin
author_sort Lin, Bei
collection PubMed
description High-risk populations of schizophrenia can be mainly identified as genetic high-risk based on putative endophenotypes or ultra-high-risk (UHR) based on clinically manifested symptoms. Previous studies have consistently shown brain structural abnormalities in both genetic high-risk and UHR individuals. In this study, we aimed to disentangle the convergent and divergent pattern of gray matter alterations between UHR and unaffected first-degree relatives from genetic high-risk individuals. We used structural MRI scans and voxel-based morphometry method to examine gray matter volume (GMV) differences among 23 UHR subjects meeting the Structured Interview for Prodromal Syndromes (SIPS) criteria, 18 unaffected first-degree relatives (UFDR), 26 first-episode schizophrenia patients (FES) and 54 healthy controls (CN). We found that a number of brain regions exhibited a monotonically decreasing trend of GMV from CN to UFDR to UHR to FES. Compared with CN, the UHR subjects showed significant decreases of GMV similar to the patients in the inferior temporal gyrus, fusiform gyrus, middle occipital gyrus, insula, and limbic regions. Moreover, the UHR transformed subgroup had significantly lower GMV than UHR non-transformed subgroup in the right inferior temporal/fusiform gyrus. On the other hand, the UFDR subjects only showed significant GMV decreases in the inferior temporal gyrus and fusiform. Moreover, we found GMV in the occipital lobe was negatively correlated with the UHR subjects’ composite positive symptom of SIPS, and GMV in the cerebellum was positively correlated with FES subjects’ symptom severity. Our results suggest that GMV deficits and regional dysfunction are evident prior to the onset of psychosis and are more prominent in the UHR than the UFDR individuals.
format Online
Article
Text
id pubmed-9261104
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-92611042022-07-13 Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia Lin, Bei Li, Xian-Bin Ruan, Sen Wu, Yu-Xin Zhang, Chao-Yue Wang, Chuan-Yue Wang, Lu-Bin Schizophrenia (Heidelb) Article High-risk populations of schizophrenia can be mainly identified as genetic high-risk based on putative endophenotypes or ultra-high-risk (UHR) based on clinically manifested symptoms. Previous studies have consistently shown brain structural abnormalities in both genetic high-risk and UHR individuals. In this study, we aimed to disentangle the convergent and divergent pattern of gray matter alterations between UHR and unaffected first-degree relatives from genetic high-risk individuals. We used structural MRI scans and voxel-based morphometry method to examine gray matter volume (GMV) differences among 23 UHR subjects meeting the Structured Interview for Prodromal Syndromes (SIPS) criteria, 18 unaffected first-degree relatives (UFDR), 26 first-episode schizophrenia patients (FES) and 54 healthy controls (CN). We found that a number of brain regions exhibited a monotonically decreasing trend of GMV from CN to UFDR to UHR to FES. Compared with CN, the UHR subjects showed significant decreases of GMV similar to the patients in the inferior temporal gyrus, fusiform gyrus, middle occipital gyrus, insula, and limbic regions. Moreover, the UHR transformed subgroup had significantly lower GMV than UHR non-transformed subgroup in the right inferior temporal/fusiform gyrus. On the other hand, the UFDR subjects only showed significant GMV decreases in the inferior temporal gyrus and fusiform. Moreover, we found GMV in the occipital lobe was negatively correlated with the UHR subjects’ composite positive symptom of SIPS, and GMV in the cerebellum was positively correlated with FES subjects’ symptom severity. Our results suggest that GMV deficits and regional dysfunction are evident prior to the onset of psychosis and are more prominent in the UHR than the UFDR individuals. Nature Publishing Group UK 2022-06-04 /pmc/articles/PMC9261104/ /pubmed/35853913 http://dx.doi.org/10.1038/s41537-022-00261-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lin, Bei
Li, Xian-Bin
Ruan, Sen
Wu, Yu-Xin
Zhang, Chao-Yue
Wang, Chuan-Yue
Wang, Lu-Bin
Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
title Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
title_full Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
title_fullStr Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
title_full_unstemmed Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
title_short Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
title_sort convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261104/
https://www.ncbi.nlm.nih.gov/pubmed/35853913
http://dx.doi.org/10.1038/s41537-022-00261-9
work_keys_str_mv AT linbei convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia
AT lixianbin convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia
AT ruansen convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia
AT wuyuxin convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia
AT zhangchaoyue convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia
AT wangchuanyue convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia
AT wanglubin convergentanddivergentgraymattervolumeabnormalitiesinunaffectedfirstdegreerelativesandultrahighriskindividualsofschizophrenia