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Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis
Recent studies show that accelerated cortical gray matter (GM) volume reduction seen in anatomical MRI can help distinguish between individuals at clinical high risk (CHR) for psychosis who will develop psychosis and those who will not. This reduction is thought to result from an accumulation of mic...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571628/ https://www.ncbi.nlm.nih.gov/pubmed/37841868 http://dx.doi.org/10.21203/rs.3.rs-3179575/v1 |
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author | Kang, Ik Cho Pasternak, Ofer Zhang, Fan Penzel, Nora Seitz-Holland, Johanna Tang, Yingying Zhang, Tianhong Xu, Lihua Li, Huijun Keshavan, Matcheri Whitfield-Gabrielli, Sue Niznikiewicz, Margaret Stone, William Wang, Jijun Shenton, Martha |
author_facet | Kang, Ik Cho Pasternak, Ofer Zhang, Fan Penzel, Nora Seitz-Holland, Johanna Tang, Yingying Zhang, Tianhong Xu, Lihua Li, Huijun Keshavan, Matcheri Whitfield-Gabrielli, Sue Niznikiewicz, Margaret Stone, William Wang, Jijun Shenton, Martha |
author_sort | Kang, Ik Cho |
collection | PubMed |
description | Recent studies show that accelerated cortical gray matter (GM) volume reduction seen in anatomical MRI can help distinguish between individuals at clinical high risk (CHR) for psychosis who will develop psychosis and those who will not. This reduction is thought to result from an accumulation of microstructural changes, such as decreased spine density and dendritic arborization. Detecting the microstructural sources of these changes before they accumulate is crucial, as volume reduction likely indicates an underlying neurodegenerative process. Our study aimed to detect these microstructural GM alterations using diffusion MRI (dMRI). We tested for baseline and longitudinal group differences in anatomical and dMRI data from 160 individuals at CHR and 96 healthy controls (HC) acquired in a single imaging site. Eight cortical lobes were examined for GM volume and GM microstructure. A novel dMRI measure, interstitial free water (iFW), was used to quantify GM microstructure by eliminating cerebrospinal fluid contribution. Additionally, we assessed whether these measures differentiated the 33 individuals at CHR who developed psychosis (CHR-P) from the 127 individuals at CHR who did not (CHR-NP). At baseline the CHR group had significantly higher iFW than HC in the prefrontal, temporal, parietal, and occipital lobes, while volume was reduced only in the temporal lobe. Neither iFW nor volume differentiated between the CHR-P and CHR-NP groups at baseline. However, in most brain areas, the CHR-P group demonstrated significantly accelerated iFW increase and volume reduction with time than the CHR-NP group. Our results demonstrate that microstructural GM changes in individuals at CHR have a wider extent than volumetric changes and they predate the acceleration of brain changes that occur around psychosis onset. Microstructural GM changes are thus an early pathology at the prodromal stage of psychosis that may be useful for early detection and a better mechanistic understanding of psychosis development. |
format | Online Article Text |
id | pubmed-10571628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-105716282023-10-14 Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis Kang, Ik Cho Pasternak, Ofer Zhang, Fan Penzel, Nora Seitz-Holland, Johanna Tang, Yingying Zhang, Tianhong Xu, Lihua Li, Huijun Keshavan, Matcheri Whitfield-Gabrielli, Sue Niznikiewicz, Margaret Stone, William Wang, Jijun Shenton, Martha Res Sq Article Recent studies show that accelerated cortical gray matter (GM) volume reduction seen in anatomical MRI can help distinguish between individuals at clinical high risk (CHR) for psychosis who will develop psychosis and those who will not. This reduction is thought to result from an accumulation of microstructural changes, such as decreased spine density and dendritic arborization. Detecting the microstructural sources of these changes before they accumulate is crucial, as volume reduction likely indicates an underlying neurodegenerative process. Our study aimed to detect these microstructural GM alterations using diffusion MRI (dMRI). We tested for baseline and longitudinal group differences in anatomical and dMRI data from 160 individuals at CHR and 96 healthy controls (HC) acquired in a single imaging site. Eight cortical lobes were examined for GM volume and GM microstructure. A novel dMRI measure, interstitial free water (iFW), was used to quantify GM microstructure by eliminating cerebrospinal fluid contribution. Additionally, we assessed whether these measures differentiated the 33 individuals at CHR who developed psychosis (CHR-P) from the 127 individuals at CHR who did not (CHR-NP). At baseline the CHR group had significantly higher iFW than HC in the prefrontal, temporal, parietal, and occipital lobes, while volume was reduced only in the temporal lobe. Neither iFW nor volume differentiated between the CHR-P and CHR-NP groups at baseline. However, in most brain areas, the CHR-P group demonstrated significantly accelerated iFW increase and volume reduction with time than the CHR-NP group. Our results demonstrate that microstructural GM changes in individuals at CHR have a wider extent than volumetric changes and they predate the acceleration of brain changes that occur around psychosis onset. Microstructural GM changes are thus an early pathology at the prodromal stage of psychosis that may be useful for early detection and a better mechanistic understanding of psychosis development. American Journal Experts 2023-09-28 /pmc/articles/PMC10571628/ /pubmed/37841868 http://dx.doi.org/10.21203/rs.3.rs-3179575/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Kang, Ik Cho Pasternak, Ofer Zhang, Fan Penzel, Nora Seitz-Holland, Johanna Tang, Yingying Zhang, Tianhong Xu, Lihua Li, Huijun Keshavan, Matcheri Whitfield-Gabrielli, Sue Niznikiewicz, Margaret Stone, William Wang, Jijun Shenton, Martha Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis |
title | Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis |
title_full | Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis |
title_fullStr | Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis |
title_full_unstemmed | Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis |
title_short | Microstructural Cortical Gray Matter Changes Preceding Accelerated Volume Changes in Individuals at Clinical High Risk for Psychosis |
title_sort | microstructural cortical gray matter changes preceding accelerated volume changes in individuals at clinical high risk for psychosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571628/ https://www.ncbi.nlm.nih.gov/pubmed/37841868 http://dx.doi.org/10.21203/rs.3.rs-3179575/v1 |
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