CASIA OpenIR  > 脑网络组研究
Subtypes of depression characterized by different cognitive decline and brain activity alterations
Yang, Xiao1,2; Qi, Shile3; Wang, Min1,2; Calhoun, Vince D.3; Sui, Jing4,5,6,7; Li, Tao1,2; Ma, Xiaohong1,2
Source PublicationJOURNAL OF PSYCHIATRIC RESEARCH
ISSN0022-3956
2021-06-01
Volume138Pages:413-419
Corresponding AuthorMa, Xiaohong(maxiaohong@scu.edu.cn)
AbstractDepression is characterized by the heterogeneity in anti-depressant treatment response and clinical outcomes. Cognitive impairment may be one of the more practically important aspects of depression. A new approach was to identify neuropsychologically derived depression subtypes based on the trajectory of neuro-cognition such as intelligence quotient (IQ) change. We used a classical premorbid IQ prediction algorithm and then compared predicted premorbid IQ with current IQ. IQ change was used to delineate the patterns of neuropsychological heterogeneity within a large dataset consisting of 131 patients with major depressive disorder (MDD) and 165 healthy controls (HCs). Neurocognitive results from CANTAB and 3 T resting-state fMRI data were compared among the subgroups identified. IQ change heterogeneity identified two subgroups within the MDD group: preserved IQ (PIQ) and deteriorated IQ (DIQ) in MDD. The DIQ subgroup was marked by poorer functioning across multiple cognition domains, including increased impairments in motor speed, cognitive flexibility, and catastrophic thinking when compared to PIQ and HCs. Moreover, cognitive performance of patients with DIQ was correlated with IQ decline. Also, increased brain activity of anterior cingulate cortex and medial prefrontal cortex was found in DIQ but not in PIQ and HCs. IQ-based subgroups of depression may be differentially associated with the extent of neurocognitive impairment and brain activities, which suggests that classifying the cognitive heterogeneity associated with depression may provide a platform to better characterize the neurobiological underpinnings of the disease.
KeywordMajor depressive disorder Premorbid intelligence quotient Subtypes Cognition Resting-state network
DOI10.1016/j.jpsychires.2021.04.023
WOS KeywordUNIPOLAR DEPRESSION ; INCREASED AMYGDALA ; PREFRONTAL CORTEX ; PREMORBID IQ ; SCHIZOPHRENIA ; DISORDER ; FMRI ; HETEROGENEITY ; IMPAIRMENTS ; NETWORK
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[82001432] ; National Natural Science Foundation of China[81671344] ; China Postdoctoral Science Foundation[2020TQ0213] ; China Postdoctoral Science Foundation[2020M683319] ; Special Foundation for Brain Research from Science and Technology Program of Guangdong[2018B030334001] ; China Scholarship Council (CSC)[201706240074] ; Open Project Program of the National Laboratory of Pattern Recognition[202000034]
Funding OrganizationNational Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Special Foundation for Brain Research from Science and Technology Program of Guangdong ; China Scholarship Council (CSC) ; Open Project Program of the National Laboratory of Pattern Recognition
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000658540100015
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/45329
Collection脑网络组研究
Corresponding AuthorMa, Xiaohong
Affiliation1.Sichuan Univ, Psychiat Lab & Mental Hlth Ctr, State Key Lab Biotherapy, West China Hosp, Chengdu, Sichuan, Peoples R China
2.Sichuan Univ, West China Brain Res Ctr, West China Hosp, Chengdu, Sichuan, Peoples R China
3.Triinst Ctr Translat Res Neuroimaging & Data Sci, Atlanta, GA USA
4.Chinese Acad Sci, Brainnetome Ctr, Beijing, Peoples R China
5.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
6.Univ Chinese Acad Sci, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Automat, Ctr Excellence Brain Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yang, Xiao,Qi, Shile,Wang, Min,et al. Subtypes of depression characterized by different cognitive decline and brain activity alterations[J]. JOURNAL OF PSYCHIATRIC RESEARCH,2021,138:413-419.
APA Yang, Xiao.,Qi, Shile.,Wang, Min.,Calhoun, Vince D..,Sui, Jing.,...&Ma, Xiaohong.(2021).Subtypes of depression characterized by different cognitive decline and brain activity alterations.JOURNAL OF PSYCHIATRIC RESEARCH,138,413-419.
MLA Yang, Xiao,et al."Subtypes of depression characterized by different cognitive decline and brain activity alterations".JOURNAL OF PSYCHIATRIC RESEARCH 138(2021):413-419.
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