Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task

doi:10.1002/hbm.24751

	Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task
	Krohne, Laerke Gebser 1,2,3,4; Wang, Yi3,5 ; Hinrich, Jesper L.1; Moerup, Morten 1; Chan, Raymond C. K.3,4,5 ; Madsen, Kristoffer H.1,2,4
通讯作者	Chan, Raymond C. K.(rckchan@psych.ac.cn) ; Madsen, Kristoffer H.(kristofferm@drcmr.dk)
摘要	Previous 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.
关键词	archetypical analysis decomposition functional connectivity social anhedonia support vector classification
	2019-11-01
语种	英语
DOI	10.1002/hbm.24751
发表期刊	JOURNAL OF TIME SERIES ANALYSIS
ISSN	0143-9782
卷号	40 期号:6 页码:4965-4981
收录类别	SCI
资助项目	Beijing Municipal Science & Technology Commission[Z161100000216138] ; Lundbeckfonden[R105-9813] ; National Basic Research Programme of China[2016YFC0906402] ; NVIDIA Corporation ; NVIDIA GPU grant
出版者	WILEY
WOS关键词	ULTRA-HIGH-RISK ; FUNCTIONAL CONNECTIVITY ; PSYCHOMETRIC SCHIZOTYPY ; PSYCHOSIS-PRONENESS ; ARCHETYPAL ANALYSIS ; NEURAL BASIS ; INDIVIDUALS ; MIND ; SCHIZOPHRENIA ; EMPATHY
WOS研究方向	Mathematics
WOS类目	Mathematics, Interdisciplinary Applications ; Statistics & Probability
WOS记录号	WOS:000480936300001
资助机构	Beijing Municipal Science & Technology Commission ; Lundbeckfonden ; National Basic Research Programme of China ; NVIDIA Corporation ; NVIDIA GPU grant
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/29906
专题	中国科学院心理健康重点实验室
通讯作者	Chan, Raymond C. K.; Madsen, Kristoffer H.
作者单位	1.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
第一作者单位	认知与发展心理学研究室
通讯作者单位	认知与发展心理学研究室
推荐引用方式 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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