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dc.contributor.authorKamarajan, Chella
dc.contributor.authorArdekani, Babak A
dc.contributor.authorPandey, Ashwini K
dc.contributor.authorKinreich, Sivan
dc.contributor.authorPandey, Gayathri
dc.contributor.authorChorlian, David B
dc.contributor.authorMeyers, Jacquelyn L
dc.contributor.authorZhang, Jian
dc.contributor.authorBermudez, Elaine
dc.contributor.authorStimus, Arthur T
dc.contributor.authorPorjesz, Bernice
dc.date.accessioned2022-12-05T18:23:14Z
dc.date.available2022-12-05T18:23:14Z
dc.date.issued2020-02-20
dc.identifier.citationKamarajan C, Ardekani BA, Pandey AK, Kinreich S, Pandey G, Chorlian DB, Meyers JL, Zhang J, Bermudez E, Stimus AT, Porjesz B. Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. Brain Sci. 2020 Feb 20;10(2):115. doi: 10.3390/brainsci10020115. PMID: 32093319; PMCID: PMC7071377.en_US
dc.identifier.issn2076-3425
dc.identifier.doi10.3390/brainsci10020115
dc.identifier.pmid32093319
dc.identifier.urihttp://hdl.handle.net/20.500.12648/7911
dc.description.abstractIndividuals with alcohol use disorder (AUD) are known to manifest a variety of neurocognitive impairments that can be attributed to alterations in specific brain networks. The current study aims to identify specific features of brain connectivity, neuropsychological performance, and impulsivity traits that can classify adult males with AUD ( = 30) from healthy controls (CTL, = 30) using the Random Forest (RF) classification method. The predictor variables were: (i) fMRI-based within-network functional connectivity (FC) of the Default Mode Network (DMN), (ii) neuropsychological scores from the Tower of London Test (TOLT), and the Visual Span Test (VST), and (iii) impulsivity factors from the Barratt Impulsiveness Scale (BIS). The RF model, with a classification accuracy of 76.67%, identified fourteen DMN connections, two neuropsychological variables (memory span and total correct scores of the forward condition of the VST), and all impulsivity factors as significantly important for classifying participants into either the AUD or CTL group. Specifically, the AUD group manifested hyperconnectivity across the bilateral anterior cingulate cortex and the prefrontal cortex as well as between the bilateral posterior cingulate cortex and the left inferior parietal lobule, while showing hypoconnectivity in long-range anterior-posterior and interhemispheric long-range connections. Individuals with AUD also showed poorer memory performance and increased impulsivity compared to CTL individuals. Furthermore, there were significant associations among FC, impulsivity, neuropsychological performance, and AUD status. These results confirm the previous findings that alterations in specific brain networks coupled with poor neuropsychological functioning and heightened impulsivity may characterize individuals with AUD, who can be efficiently identified using classification algorithms such as Random Forest.en_US
dc.language.isoenen_US
dc.relation.urlhttps://www.mdpi.com/2076-3425/10/2/115en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRandom Foresten_US
dc.subjectTower of London Testen_US
dc.subjectVisual Span Testen_US
dc.subjectalcohol use disorder (AUD)en_US
dc.subjectdefault mode network (DMN)en_US
dc.subjectfunctional connectivityen_US
dc.subjectimpulsivityen_US
dc.subjectneuropsychological performanceen_US
dc.subjectresting state fMRIen_US
dc.titleRandom Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleBrain sciencesen_US
dc.source.volume10
dc.source.issue2
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countrySwitzerland
dc.description.versionVoRen_US
refterms.dateFOA2022-12-05T18:23:14Z
dc.description.institutionSUNY Downstateen_US
dc.description.departmentHenri Begleiter Neurodynamics Laboratoryen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalBrain sciences


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International