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Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task
Krohne, Laerke Gebser1,2,3,4; Wang, Yi3,5; Hinrich, Jesper L.1; Moerup, Morten1; Chan, Raymond C. K.3,4,5; Madsen, Kristoffer H.1,2,4
Corresponding AuthorChan, Raymond C. K.(rckchan@psych.ac.cn) ; Madsen, Kristoffer H.(kristofferm@drcmr.dk)
2019-11-01
Source PublicationJOURNAL OF TIME SERIES ANALYSIS
ISSN0143-9782
Volume40Issue:6Pages:4965-4981
AbstractPrevious studies have suggested that the degree of social anhedonia reflects the vulnerability for developing schizophrenia. However, only few studies have investigated how functional network changes are related to social anhedonia. The aim of this fMRI study was to classify subjects according to their degree of social anhedonia using supervised machine learning. More specifically, we extracted both spatial and temporal network features during a social cognition task from 70 subjects, and used support vector machines for classification. Since impairment in social cognition is well established in schizophrenia-spectrum disorders, the subjects performed a comic strip task designed to specifically probe theory of mind (ToM) and empathy processing. Features representing both temporal (time series) and network dynamics were extracted using task activation maps, seed region analysis, independent component analysis (ICA), and a newly developed multi-subject archetypal analysis (MSAA), which here aimed to further bridge aspects of both seed region analysis and decomposition by incorporating a spotlight approach.We found significant classification of subjects with elevated levels of social anhedonia when using the times series extracted using MSAA, indicating that temporal dynamics carry important information for classification of social anhedonia. Interestingly, we found that the same time series yielded the highest classification performance in a task classification of the ToM condition. Finally, the spatial network corresponding to that time series included both prefrontal and temporal-parietal regions as well as insula activity, which previously have been related schizotypy and the development of schizophrenia.
Keywordarchetypical analysis decomposition functional connectivity social anhedonia support vector classification
DOI10.1002/hbm.24751
Indexed BySCI
Language英语
Funding OrganizationBeijing Municipal Science & Technology Commission ; Lundbeckfonden ; National Basic Research Programme of China ; NVIDIA Corporation ; NVIDIA GPU grant
Funding ProjectBeijing Municipal Science & Technology Commission[Z161100000216138] ; Lundbeckfonden[R105-9813] ; National Basic Research Programme of China[2016YFC0906402] ; NVIDIA Corporation ; NVIDIA GPU grant
WOS Research AreaMathematics
WOS SubjectMathematics, Interdisciplinary Applications ; Statistics & Probability
WOS IDWOS:000480936300001
PublisherWILEY
WOS KeywordULTRA-HIGH-RISK ; FUNCTIONAL CONNECTIVITY ; PSYCHOMETRIC SCHIZOTYPY ; PSYCHOSIS-PRONENESS ; ARCHETYPAL ANALYSIS ; NEURAL BASIS ; INDIVIDUALS ; MIND ; SCHIZOPHRENIA ; EMPATHY
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/29906
Collection中国科学院心理健康重点实验室
Corresponding AuthorChan, Raymond C. K.; Madsen, Kristoffer H.
Affiliation1.Tech Univ Denmark, Dept Appl Math & Comp Sci, Lyngby, Denmark
2.Copenhagen Univ Hosp, Danish Res Ctr Magnet Resonance, Ctr Funct & Diagnost Imaging & Res, Kettegard Alle 30, DK-2650 Hvidovre, Denmark
3.Chinese Acad Sci, Neuropsychol & Appl Cognit Neurosci Lab, CAS Key Lab Mental Hlth, Inst Psychol, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Sinodanish Coll, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Krohne, Laerke Gebser,Wang, Yi,Hinrich, Jesper L.,et al. Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task[J]. JOURNAL OF TIME SERIES ANALYSIS,2019,40(6):4965-4981.
APA Krohne, Laerke Gebser,Wang, Yi,Hinrich, Jesper L.,Moerup, Morten,Chan, Raymond C. K.,&Madsen, Kristoffer H..(2019).Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task.JOURNAL OF TIME SERIES ANALYSIS,40(6),4965-4981.
MLA Krohne, Laerke Gebser,et al."Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task".JOURNAL OF TIME SERIES ANALYSIS 40.6(2019):4965-4981.
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