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

Zheng Wang, Shashwath A. Meda, Matcheri S. Keshavan, Carol A. Tamminga, John A. Sweeney, Brett A. Clementz, David Schretlen, Vince Daniel Calhoun, Su Lui, Godfrey D. Pearlson

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article number174
JournalFrontiers in Psychiatry
Volume6
Issue numberDEC
DOIs
StatePublished - 2015

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Psychotic Disorders
Biomarkers
Magnetic Resonance Imaging
Schizophrenia
Joints
Endophenotypes
Corpus Striatum
Brain
Temporal Lobe
Gray Matter
Bipolar Disorder
Cognition
Personality

Keywords

  • Bipolar
  • Joint-independent component analysis
  • Multimodal neuroimaging
  • Relatives
  • Schizoaffective
  • Schizophrenia

ASJC Scopus subject areas

  • Psychiatry and Mental health

Cite this

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; Calhoun, Vince Daniel; Lui, Su; Pearlson, Godfrey D.

In: Frontiers in Psychiatry, Vol. 6, No. DEC, 174, 2015.

Research output: Contribution to journalArticle

Wang, Zheng ; Meda, Shashwath A. ; Keshavan, Matcheri S. ; Tamminga, Carol A. ; Sweeney, John A. ; Clementz, Brett A. ; Schretlen, David ; Calhoun, Vince Daniel ; 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. In: Frontiers in Psychiatry. 2015 ; Vol. 6, No. DEC.
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AU - Tamminga, Carol A.

AU - Sweeney, John A.

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AB - 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.

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