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dc.contributor.authorLi, Huabing
dc.contributor.authorGuo, Wenbin
dc.contributor.authorLiu, Feng
dc.contributor.authorChen, Jindong
dc.contributor.authorSu, Qinji
dc.contributor.authorZhang, Zhikun
dc.contributor.authorFan, Xiaoduo
dc.contributor.authorZhao, Jingping
dc.date2022-08-11T08:10:31.000
dc.date.accessioned2022-08-23T17:11:35Z
dc.date.available2022-08-23T17:11:35Z
dc.date.issued2019-08-01
dc.date.submitted2019-08-01
dc.identifier.citation<p>EBioMedicine. 2019 Aug;46:248-255. doi: 10.1016/j.ebiom.2019.07.022. Epub 2019 Jul 12. <a href="https://doi.org/10.1016/j.ebiom.2019.07.022">Link to article on publisher's site</a></p>
dc.identifier.issn2352-3964 (Linking)
dc.identifier.doi10.1016/j.ebiom.2019.07.022
dc.identifier.pmid31307956
dc.identifier.urihttp://hdl.handle.net/20.500.14038/46310
dc.description.abstractBACKGROUND: Antipsychotic medications are the common treatment for schizophrenia. However, reliable biomarkers that can predict individual treatment response are still lacking. The present study aimed to examine whether baseline putamen activity can predict individual treatment response in schizophrenia. METHODS: Two independent samples of patients with drug-naive, first-episode schizophrenia (32 patients in sample 1 and 44 in sample 2) and matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) at baseline. Patients were treated with olanzapine for 8 weeks; symptom severity was assessed using the Positive and Negative Syndrome Scale (PANSS) at baseline and week 8. Fractional amplitude of low frequency fluctuation (fALFF) and pattern classification techniques were used to analyze the data. FINDINGS: Univariate analysis shows an elevated pre-treatment fALFF in the left ventromedial putamen in both patient samples compared to healthy controls (p's < 0.001). The support vector regression (SVR) analysis suggests a positive relationship between baseline pre-treatment fALFF in the left ventromedial putamen and improvement in positive symptom at week 8 in each patient group using a cross-validated method (r=0.452, p=.002; r=0.511, p=.003, respectively). INTERPRETATION: Our study suggests that elevated pre-treatment mean fALFF in the left ventromedial putamen may predict individual therapeutic response to olanzapine treatment in drug-naive, first-episode patients with schizophrenia. Future studies are needed to confirm whether this finding is generalizable to patients with schizophrenia treated with other antipsychotic medications. FUND: The National Key RandD Program of China and the National Natural Science Foundation of China.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=31307956&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFractional amplitude of low frequency fluctuation
dc.subjectOlanzapine
dc.subjectPattern classification
dc.subjectSchizophrenia
dc.subjectMental and Social Health
dc.subjectMental Disorders
dc.subjectNervous System
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.subjectTherapeutics
dc.titleEnhanced baseline activity in the left ventromedial putamen predicts individual treatment response in drug-naive, first-episode schizophrenia: Results from two independent study samples
dc.typeJournal Article
dc.source.journaltitleEBioMedicine
dc.source.volume46
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1855&amp;context=psych_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_pp/848
dc.identifier.contextkey15038741
refterms.dateFOA2022-08-23T17:11:35Z
html.description.abstract<p>BACKGROUND: Antipsychotic medications are the common treatment for schizophrenia. However, reliable biomarkers that can predict individual treatment response are still lacking. The present study aimed to examine whether baseline putamen activity can predict individual treatment response in schizophrenia.</p> <p>METHODS: Two independent samples of patients with drug-naive, first-episode schizophrenia (32 patients in sample 1 and 44 in sample 2) and matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) at baseline. Patients were treated with olanzapine for 8 weeks; symptom severity was assessed using the Positive and Negative Syndrome Scale (PANSS) at baseline and week 8. Fractional amplitude of low frequency fluctuation (fALFF) and pattern classification techniques were used to analyze the data.</p> <p>FINDINGS: Univariate analysis shows an elevated pre-treatment fALFF in the left ventromedial putamen in both patient samples compared to healthy controls (p's < 0.001). The support vector regression (SVR) analysis suggests a positive relationship between baseline pre-treatment fALFF in the left ventromedial putamen and improvement in positive symptom at week 8 in each patient group using a cross-validated method (r=0.452, p=.002; r=0.511, p=.003, respectively).</p> <p>INTERPRETATION: Our study suggests that elevated pre-treatment mean fALFF in the left ventromedial putamen may predict individual therapeutic response to olanzapine treatment in drug-naive, first-episode patients with schizophrenia. Future studies are needed to confirm whether this finding is generalizable to patients with schizophrenia treated with other antipsychotic medications.</p> <p>FUND: The National Key RandD Program of China and the National Natural Science Foundation of China.</p>
dc.identifier.submissionpathpsych_pp/848
dc.contributor.departmentImplementation Science and Practice Advances Research Center
dc.contributor.departmentDepartment of Psychiatry
dc.source.pages248-255


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© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://
creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).