In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia

Abstract Background The cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid asse...

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Veröffentlicht in:Biological psychiatry (1969) 2015-12, Vol.78 (11), p.794-804
Hauptverfasser: Sui, Jing, Pearlson, Godfrey D, Du, Yuhui, Yu, Qingbao, Jones, Thomas R, Chen, Jiayu, Jiang, Tianzi, Bustillo, Juan, Calhoun, Vince D
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container_end_page 804
container_issue 11
container_start_page 794
container_title Biological psychiatry (1969)
container_volume 78
creator Sui, Jing
Pearlson, Godfrey D
Du, Yuhui
Yu, Qingbao
Jones, Thomas R
Chen, Jiayu
Jiang, Tianzi
Bustillo, Juan
Calhoun, Vince D
description Abstract Background The cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. Methods The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps—fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI—were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects. Results One multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. Conclusions Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.
doi_str_mv 10.1016/j.biopsych.2015.02.017
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The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. Methods The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps—fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI—were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects. Results One multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. Conclusions Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.</description><identifier>ISSN: 0006-3223</identifier><identifier>EISSN: 1873-2402</identifier><identifier>DOI: 10.1016/j.biopsych.2015.02.017</identifier><identifier>PMID: 25847180</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Anisotropy ; Brain - blood supply ; Brain - diagnostic imaging ; Brain - pathology ; Case-Control Studies ; Cognition Disorders - etiology ; Diffusion Magnetic Resonance Imaging ; Diffusion magnetic resonance imaging (dMRI) ; Female ; Functional magnetic resonance imaging (fMRI) ; Gray matter ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; MATRICS Consensus Cognitive Battery (MCCB) ; Middle Aged ; Multimodal fusion ; Neuroimaging ; Neuropsychological Tests ; Oxygen - blood ; Psychiatry ; Radionuclide Imaging ; Schizophrenia ; Schizophrenia - complications ; Schizophrenic Psychology ; Young Adult</subject><ispartof>Biological psychiatry (1969), 2015-12, Vol.78 (11), p.794-804</ispartof><rights>Society of Biological Psychiatry</rights><rights>2015 Society of Biological Psychiatry</rights><rights>Copyright © 2015 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c662t-12372dcb4d01b452fa5a86c982188421a3988edc912dc52a62a94b18c5179fd23</citedby><cites>FETCH-LOGICAL-c662t-12372dcb4d01b452fa5a86c982188421a3988edc912dc52a62a94b18c5179fd23</cites><orcidid>0000-0001-6837-5966</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0006322315001274$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25847180$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sui, Jing</creatorcontrib><creatorcontrib>Pearlson, Godfrey D</creatorcontrib><creatorcontrib>Du, Yuhui</creatorcontrib><creatorcontrib>Yu, Qingbao</creatorcontrib><creatorcontrib>Jones, Thomas R</creatorcontrib><creatorcontrib>Chen, Jiayu</creatorcontrib><creatorcontrib>Jiang, Tianzi</creatorcontrib><creatorcontrib>Bustillo, Juan</creatorcontrib><creatorcontrib>Calhoun, Vince D</creatorcontrib><title>In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia</title><title>Biological psychiatry (1969)</title><addtitle>Biol Psychiatry</addtitle><description>Abstract Background The cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. Methods The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps—fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI—were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects. Results One multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. Conclusions Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.</description><subject>Adult</subject><subject>Anisotropy</subject><subject>Brain - blood supply</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Case-Control Studies</subject><subject>Cognition Disorders - etiology</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Diffusion magnetic resonance imaging (dMRI)</subject><subject>Female</subject><subject>Functional magnetic resonance imaging (fMRI)</subject><subject>Gray matter</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>MATRICS Consensus Cognitive Battery (MCCB)</subject><subject>Middle Aged</subject><subject>Multimodal fusion</subject><subject>Neuroimaging</subject><subject>Neuropsychological Tests</subject><subject>Oxygen - blood</subject><subject>Psychiatry</subject><subject>Radionuclide Imaging</subject><subject>Schizophrenia</subject><subject>Schizophrenia - complications</subject><subject>Schizophrenic Psychology</subject><subject>Young Adult</subject><issn>0006-3223</issn><issn>1873-2402</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkd1u1DAQhS1ERZfCK1R5gQTP5M-5qYAtLZVauChwazmOs5lt1l7Z2ZW2T19HSyvghquRNeecGX_D2DnwDDhUH9ZZS24bDnrIkEOZccw41K_YAkSdp1hwfM0WnPMqzRHzU_Y2hHV81ojwhp1iKYoaBF-wXzc2uTfK6yFxfXK3GyfauE6NyTez8442akV2lXwmt1H-wfgwq5ZuZWmivUkuTU-appBQTNEDPbrt4I0l9Y6d9GoM5v3vesZ-Xn35sfya3n6_vll-uk11VeGUAuY1drotOg5tUWKvSiUq3QgEIQoElTdCmE43EFUlqgpVU7QgdAl103eYn7GLY-52126i0NjJq1FufdzcH6RTJP_uWBrkyu1lURZ1g3kMqI4B2rsQvOlfvMDlTFqu5TNpOZOWHGUkHY3nf05-sT2jjYKPR4GJ_9-T8TJoMlabjrzRk-wc_X_GxT8ReiRLWo0P5mDC2u28jXQlyBAN8n6-93xuKDkHrIv8CaI5qW4</recordid><startdate>20151201</startdate><enddate>20151201</enddate><creator>Sui, Jing</creator><creator>Pearlson, Godfrey D</creator><creator>Du, Yuhui</creator><creator>Yu, Qingbao</creator><creator>Jones, Thomas R</creator><creator>Chen, Jiayu</creator><creator>Jiang, Tianzi</creator><creator>Bustillo, Juan</creator><creator>Calhoun, Vince D</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6837-5966</orcidid></search><sort><creationdate>20151201</creationdate><title>In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia</title><author>Sui, Jing ; Pearlson, Godfrey D ; Du, Yuhui ; Yu, Qingbao ; Jones, Thomas R ; Chen, Jiayu ; Jiang, Tianzi ; Bustillo, Juan ; Calhoun, Vince D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c662t-12372dcb4d01b452fa5a86c982188421a3988edc912dc52a62a94b18c5179fd23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Anisotropy</topic><topic>Brain - blood supply</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Case-Control Studies</topic><topic>Cognition Disorders - etiology</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Diffusion magnetic resonance imaging (dMRI)</topic><topic>Female</topic><topic>Functional magnetic resonance imaging (fMRI)</topic><topic>Gray matter</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>MATRICS Consensus Cognitive Battery (MCCB)</topic><topic>Middle Aged</topic><topic>Multimodal fusion</topic><topic>Neuroimaging</topic><topic>Neuropsychological Tests</topic><topic>Oxygen - blood</topic><topic>Psychiatry</topic><topic>Radionuclide Imaging</topic><topic>Schizophrenia</topic><topic>Schizophrenia - complications</topic><topic>Schizophrenic Psychology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sui, Jing</creatorcontrib><creatorcontrib>Pearlson, Godfrey D</creatorcontrib><creatorcontrib>Du, Yuhui</creatorcontrib><creatorcontrib>Yu, Qingbao</creatorcontrib><creatorcontrib>Jones, Thomas R</creatorcontrib><creatorcontrib>Chen, Jiayu</creatorcontrib><creatorcontrib>Jiang, Tianzi</creatorcontrib><creatorcontrib>Bustillo, Juan</creatorcontrib><creatorcontrib>Calhoun, Vince D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biological psychiatry (1969)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sui, Jing</au><au>Pearlson, Godfrey D</au><au>Du, Yuhui</au><au>Yu, Qingbao</au><au>Jones, Thomas R</au><au>Chen, Jiayu</au><au>Jiang, Tianzi</au><au>Bustillo, Juan</au><au>Calhoun, Vince D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia</atitle><jtitle>Biological psychiatry (1969)</jtitle><addtitle>Biol Psychiatry</addtitle><date>2015-12-01</date><risdate>2015</risdate><volume>78</volume><issue>11</issue><spage>794</spage><epage>804</epage><pages>794-804</pages><issn>0006-3223</issn><eissn>1873-2402</eissn><abstract>Abstract Background The cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. Methods The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps—fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI—were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects. Results One multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. Conclusions Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25847180</pmid><doi>10.1016/j.biopsych.2015.02.017</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-6837-5966</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adult
Anisotropy
Brain - blood supply
Brain - diagnostic imaging
Brain - pathology
Case-Control Studies
Cognition Disorders - etiology
Diffusion Magnetic Resonance Imaging
Diffusion magnetic resonance imaging (dMRI)
Female
Functional magnetic resonance imaging (fMRI)
Gray matter
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
MATRICS Consensus Cognitive Battery (MCCB)
Middle Aged
Multimodal fusion
Neuroimaging
Neuropsychological Tests
Oxygen - blood
Psychiatry
Radionuclide Imaging
Schizophrenia
Schizophrenia - complications
Schizophrenic Psychology
Young Adult
title In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia
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