Cargando…

Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort

To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with thei...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zheng, Meda, Shashwath A., Keshavan, Matcheri S., Tamminga, Carol A., Sweeney, John A., Clementz, Brett A., Schretlen, David J., Calhoun, Vince D., Lui, Su, Pearlson, Godfrey D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685049/
https://www.ncbi.nlm.nih.gov/pubmed/26732139
http://dx.doi.org/10.3389/fpsyt.2015.00174
_version_ 1782406238055694336
author Wang, Zheng
Meda, Shashwath A.
Keshavan, Matcheri S.
Tamminga, Carol A.
Sweeney, John A.
Clementz, Brett A.
Schretlen, David J.
Calhoun, Vince D.
Lui, Su
Pearlson, Godfrey D.
author_facet Wang, Zheng
Meda, Shashwath A.
Keshavan, Matcheri S.
Tamminga, Carol A.
Sweeney, John A.
Clementz, Brett A.
Schretlen, David J.
Calhoun, Vince D.
Lui, Su
Pearlson, Godfrey D.
author_sort Wang, Zheng
collection PubMed
description To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with their first-degree non-psychotic relatives. A total of 1199 subjects were assessed, including 220 SZ, 147 SAD, 180 psychotic BP, 150 first-degree relatives of SZ, 126 SAD relatives, 134 BP relatives, and 242 healthy controls (1). All subjects underwent structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) scanning. Joint-independent component analysis (jICA) was used to fuse sMRI gray matter and rs-fMRI amplitude of low-frequency fluctuations data to identify the relationship between the two modalities. jICA revealed two significantly fused components. The association between functional brain alteration in a prefrontal–striatal–thalamic–cerebellar network and structural abnormalities in the default mode network was found to be common across psychotic diagnoses and correlated with cognitive function, social function, and schizo-bipolar scale scores. The fused alteration in the temporal lobe was unique to SZ and SAD. The above effects were not seen in any relative group (including those with cluster-A personality). Using a multivariate-fused approach involving two widely used imaging markers, we demonstrate both shared and distinct biological traits across the psychosis spectrum. Furthermore, our results suggest that the above traits are psychosis biomarkers rather than endophenotypes.
format Online
Article
Text
id pubmed-4685049
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-46850492016-01-05 Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort Wang, Zheng Meda, Shashwath A. Keshavan, Matcheri S. Tamminga, Carol A. Sweeney, John A. Clementz, Brett A. Schretlen, David J. Calhoun, Vince D. Lui, Su Pearlson, Godfrey D. Front Psychiatry Psychiatry To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with their first-degree non-psychotic relatives. A total of 1199 subjects were assessed, including 220 SZ, 147 SAD, 180 psychotic BP, 150 first-degree relatives of SZ, 126 SAD relatives, 134 BP relatives, and 242 healthy controls (1). All subjects underwent structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) scanning. Joint-independent component analysis (jICA) was used to fuse sMRI gray matter and rs-fMRI amplitude of low-frequency fluctuations data to identify the relationship between the two modalities. jICA revealed two significantly fused components. The association between functional brain alteration in a prefrontal–striatal–thalamic–cerebellar network and structural abnormalities in the default mode network was found to be common across psychotic diagnoses and correlated with cognitive function, social function, and schizo-bipolar scale scores. The fused alteration in the temporal lobe was unique to SZ and SAD. The above effects were not seen in any relative group (including those with cluster-A personality). Using a multivariate-fused approach involving two widely used imaging markers, we demonstrate both shared and distinct biological traits across the psychosis spectrum. Furthermore, our results suggest that the above traits are psychosis biomarkers rather than endophenotypes. Frontiers Media S.A. 2015-12-21 /pmc/articles/PMC4685049/ /pubmed/26732139 http://dx.doi.org/10.3389/fpsyt.2015.00174 Text en Copyright © 2015 Wang, Meda, Keshavan, Tamminga, Sweeney, Clementz, Schretlen, Calhoun, Lui and Pearlson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Wang, Zheng
Meda, Shashwath A.
Keshavan, Matcheri S.
Tamminga, Carol A.
Sweeney, John A.
Clementz, Brett A.
Schretlen, David J.
Calhoun, Vince D.
Lui, Su
Pearlson, Godfrey D.
Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
title Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
title_full Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
title_fullStr Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
title_full_unstemmed Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
title_short Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort
title_sort large-scale fusion of gray matter and resting-state functional mri reveals common and distinct biological markers across the psychosis spectrum in the b-snip cohort
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685049/
https://www.ncbi.nlm.nih.gov/pubmed/26732139
http://dx.doi.org/10.3389/fpsyt.2015.00174
work_keys_str_mv AT wangzheng largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT medashashwatha largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT keshavanmatcheris largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT tammingacarola largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT sweeneyjohna largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT clementzbretta largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT schretlendavidj largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT calhounvinced largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT luisu largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort
AT pearlsongodfreyd largescalefusionofgraymatterandrestingstatefunctionalmrirevealscommonanddistinctbiologicalmarkersacrossthepsychosisspectruminthebsnipcohort