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Functional brain abnormalities in major depressive disorder using the Hilbert-Huang transform
Yu, Haibin1; Li, Feng2; Wu, Tong1; Li, Rui3; Yao, Li1,4,5; Wang, Chuanyue2; Wu, Xia1,4,5
First AuthorYu, Haibin
2018-12-01
Source PublicationBRAIN IMAGING AND BEHAVIOR
Correspondent Emailwuxia@bnu.edu.cn
ISSN1931-7557
SubtypeArticle
Volume12Issue:6Pages:1556-1568
QuartileQ2
Contribution Rank3
Abstract

Major depressive disorder is a common disease worldwide, which is characterized by significant and persistent depression. Non-invasive accessory diagnosis of depression can be performed by resting-state functional magnetic resonance imaging (rs-fMRI). However, the fMRI signal may not satisfy linearity and stationarity. The Hilbert-Huang transform (HHT) is an adaptive time-frequency localization analysis method suitable for nonlinear and non-stationary signals. The objective of this study was to apply the HHT to rs-fMRI to find the abnormal brain areas of patients with depression. A total of 35 patients with depression and 37 healthy controls were subjected to rs-fMRI. The HHT was performed to extract the Hilbert-weighted mean frequency of the rs-fMRI signals, and multivariate receiver operating characteristic analysis was applied to find the abnormal brain regions with high sensitivity and specificity. We observed differences in Hilbert-weighted mean frequency between the patients and healthy controls mainly in the right hippocampus, right parahippocampal gyrus, left amygdala, and left and right caudate nucleus. Subsequently, the above-mentioned regions were included in the results obtained from the compared region homogeneity and the fractional amplitude of low frequency fluctuation method. We found brain regions with differences in the Hilbert-weighted mean frequency, and examined their sensitivity and specificity, which suggested a potential neuroimaging biomarker to distinguish between patients with depression and healthy controls. We further clarified the pathophysiological abnormality of these regions for the population with major depressive disorder.

KeywordDepression Resting-state Functional Magnetic Resonance Imaging Hilbert-huang Transform Hilbert-weighted Mean Frequency Multivariate Receiver Operating Characteristic Analysis
DOI10.1007/s11682-017-9816-6
Indexed BySCI
Language英语
Funding ProjectCAS Key Laboratory of Mental Health, Institute of Psychology[KLMH2015G06] ; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support[ZYLX201403] ; Beijing Science and Technology Commission[D121100005012002] ; Funds for the general Program of the National Natural Science Foundation of China[81471389] ; Funds for the general Program of the National Natural Science Foundation of China[61571047]
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeuroimaging
WOS IDWOS:000454107000003
PublisherSPRINGER
WOS KeywordLow-frequency Fluctuation ; Mood-regulating Circuit ; Resting-state Fmri ; Regional Homogeneity ; Treatment-resistant ; Neural Activity ; Connectivity ; Amplitude ; Unipolar ; Naive
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/28020
Collection中国科学院心理健康重点实验室
Corresponding AuthorWu, Xia
Affiliation1.Beijing Normal Univ, Coll Informat Sci & Technol, 19 Xin Jie Kou Wai Jie, Beijing 100875, Peoples R China
2.Capital Med Univ, Beijing Anding Hosp, Beijing Inst Brain Disorders, Beijing Key Lab Mental Disorders,Ctr Schizophreni, Beijing 10088, Peoples R China
3.Inst Psychol, CAS Key Lab Mental Hlth, Beijing 100101, Peoples R China
4.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
5.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Yu, Haibin,Li, Feng,Wu, Tong,et al. Functional brain abnormalities in major depressive disorder using the Hilbert-Huang transform[J]. BRAIN IMAGING AND BEHAVIOR,2018,12(6):1556-1568.
APA Yu, Haibin.,Li, Feng.,Wu, Tong.,Li, Rui.,Yao, Li.,...&Wu, Xia.(2018).Functional brain abnormalities in major depressive disorder using the Hilbert-Huang transform.BRAIN IMAGING AND BEHAVIOR,12(6),1556-1568.
MLA Yu, Haibin,et al."Functional brain abnormalities in major depressive disorder using the Hilbert-Huang transform".BRAIN IMAGING AND BEHAVIOR 12.6(2018):1556-1568.
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