Loading...
Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures.
Kamarajan, Chella Ardekani, Babak A Pandey, Ashwini K Kinreich, Sivan Pandey, Gayathri Chorlian, David B Meyers, Jacquelyn L Zhang, Jian Bermudez, Elaine Stimus, Arthur T
Kamarajan, Chella
Ardekani, Babak A
Pandey, Ashwini K
Kinreich, Sivan
Pandey, Gayathri
Chorlian, David B
Meyers, Jacquelyn L
Zhang, Jian
Bermudez, Elaine
Stimus, Arthur T
Citations
Altmetric:
Journal Title
Brain sciences
Readers/Advisors
Journal Title
Term and Year
Publication Date
2020-02-20
Type
Book Title
Publication Volume
10
Publication Issue
2
Publication Begin
Publication End
Number of pages
Collections
Files
Loading...
brainsci-10-00115.pdf
Adobe PDF, 3.43 MB
Research Projects
Organizational Units
Journal Issue
Abstract
Individuals 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.
Citation
Kamarajan 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.