Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition.
Background: The functional networks are associated with emotional processing in depression. The mapping of dynamic spatio-temporal brain networks is used to explore individual performance during early negative emotional processing. However, the dysfunctions of functional networks in low gamma band a...
| Publicado en: | Journal of Affective Disorders Vol. 238; pp. 366 - 375 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=131130081&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131130081 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01650327 3M9 jtl: Journal of Affective Disorders issn: 01650327 maglogo: N pubinfo: dt: Oct2018 vid: 238 pid: 1004 pub: Elsevier B.V. artinfo: ui: 131130081 131130081 NLM29908476 131130081 10.1016/j.jad.2018.05.078 NLM29908476 131130081 ppf: 366 ppct: 9 formats: tig: atl: Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition. aug: au: Bi, Kun Chattun, Mohammad Ridwan Liu, Xiaoxue Wang, Qiang Tian, Shui Zhang, Siqi Lu, Qing Yao, Zhijian Chattun, Mahammad Ridwan affil: School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China sug: subj: Brain Mapping Methods Depression Diagnosis Brain Physiopathology Nervous System Physiopathology Male Adult Young Adult Emotions Female Cognition Human Case Control Studies Depression Physiopathology Brain Physiology Algorithms Depression Psychosocial Factors Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Male Female ab: Background: The functional networks are associated with emotional processing in depression. The mapping of dynamic spatio-temporal brain networks is used to explore individual performance during early negative emotional processing. However, the dysfunctions of functional networks in low gamma band and their discriminative potentialities during early period of emotional face processing remain to be explored.Methods: Functional brain networks were constructed from the MEG recordings of 54 depressed patients and 54 controls in low gamma band (30-48 Hz). Dynamic connectivity regression (DCR) algorithm analyzed the individual change points of time series in response to emotional stimuli and constructed individualized spatio-temporal patterns. The nodal characteristics of patterns were calculated and fed into support vector machine (SVM). Performance of the classification algorithm in low gamma band was validated by dynamic topological characteristics of individual patterns in comparison to alpha and beta band.Results: The best discrimination accuracy of individual spatio-temporal patterns was 91.01% in low gamma band. Individual temporal patterns had better results compared to group-averaged temporal patterns in all bands. The most important discriminative networks included affective network (AN) and fronto-parietal network (FPN) in low gamma band.Limitations: The sample size is relatively small. High gamma band was not considered.Conclusions: The abnormal dynamic functional networks in low gamma band during early emotion processing enabled depression recognition. The individual information processing is crucial in the discovery of abnormal spatio-temporal patterns in depression during early negative emotional processing. Individual spatio-temporal patterns may reflect the real dynamic function of subjects while group-averaged data may neglect some individual information. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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