Searchlight classification based on Amplitude of Low Frequency Fluctuation and functional connectivity in individuals with obsessive-compulsive symptoms

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

  • Author: Wang, Yong-Ming

    University of Chinese Academy of Sciences, China

  • Author: Cai, Xin-Lu

    University of Chinese Academy of Sciences, China

  • Author: Zhang, Rui-Ting

    University of Chinese Academy of Sciences, China

  • Author: Wang, Yi

    University of Chinese Academy of Sciences, China

  • Author: Madsen, Kristoffer Hougaard

    Cognitive Systems, Department of Applied Mathematics and Computer Science , Technical University of Denmark, Richard Petersens Plads, 2800, Kgs. Lyngby, Denmark

  • Author: Sørensen, Thomas Alrik

    Aalborg University, Denmark

  • Author: Møller, Arne

    Aarhus University Hospital, Denmark

  • Author: Cheung, Eric F C

    Castle Peak Hospital, Hong Kong

  • Author: Chan, Raymond C K

    University of Chinese Academy of Sciences, China

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Introduction: Investigating obsessive-compulsive symptoms in subclinical populations provides a useful framework for understanding the early development of obsessive-compulsive spectrum disorders. The present study aimed to apply searchlight classification analysis on resting-state functional magnetic resonance imaging data to identify potential brain markers in subclinical individuals with obsessive-compulsive symptoms. Methods: In this observational study, 40 college students with high obsessive-compulsive symptom scores and 40 with low obsessive-compulsive symptom scores were recruited from universities in China. We conducted searchlight classification and comparison analysis between the two groups based on Amplitude of Low Frequency Fluctuation (ALFF), fraction ALFF (fALFF) and resting-state functional connectivity using searchlight classification. Results: We found that the highest accuracy rate in differentiating between the two groups was 85.00%. Significant discriminating features included the ALFF of the left medial superior frontal gyrus and the functional connectivity between the right thalamus and the bilateral medial superior frontal gyrus, and the right putamen, as well as the functional connectivity between the left caudate and the right insula. Conclusions: These findings highlight the specific and distinguishing brain functional abnormalities associated with obsessive-compulsive symptoms.

Original languageEnglish
JournalCognitive Neuropsychiatry
Number of pages13
ISSN1354-6805
DOIs
Publication statusPublished - 2019
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Amplitude of Low Frequency Fluctuation, Functional connectivity, Obsessive-compulsive symptoms, Searchlight

ID: 191602256