×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [3]
Faculty of Healt... [1]
Faculty of Socia... [1]
INSTITUTE OF COL... [1]
Authors
WAN FENG [2]
YUAN ZHEN [1]
LI RIHUI [1]
Document Type
Journal article [4]
Date Issued
2024 [2]
2020 [1]
2019 [1]
Language
英語English [4]
Source Publication
NeuroImage [2]
IEEE TRANSACTION... [1]
Neurophotonics [1]
Indexed By
SCIE [4]
SSCI [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-4 of 4
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental trajectories
Journal article
Wan, Lin, Li, Yuhang, Zhu, Gang, Yang, Dalin, Li, Fali, Wang, Wen, Chen, Jian, Yang, Guang, Li, Rihui. Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental trajectories[J]. NeuroImage, 2024, 302, 120895.
Authors:
Wan, Lin
;
Li, Yuhang
;
Zhu, Gang
;
Yang, Dalin
;
Li, Fali
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.7
/
6.1
|
Submit date:2024/11/05
Asd
Eeg
Fnirs
Dynamic Functional Connectivity
Multimodal Covariance Network
Neurobiology
Activation network improves spatiotemporal modelling of human brain communication processes
Journal article
Liu, Xucheng, Wang, Ze, Liu, Shun, Gong, Lianggeng, Sosa, Pedro A.Valdes, Becker, Benjamin, Jung, Tzyy Ping, Dai, Xi jian, Wan, Feng. Activation network improves spatiotemporal modelling of human brain communication processes[J]. NeuroImage, 2024, 285, 120472.
Authors:
Liu, Xucheng
;
Wang, Ze
;
Liu, Shun
;
Gong, Lianggeng
;
Sosa, Pedro A.Valdes
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
4.7
/
6.1
|
Submit date:2024/02/22
Brain Network
Dynamic Functional Network Connectivity
Functional Mri
Topological Analysis
Dynamic Reorganization of Functional Connectivity Unmasks Fatigue Related Performance Declines in Simulated Driving
Journal article
Wang,Hongtao, Liu,Xucheng, Hu,Hongying, Wan,Feng, Li,Ting, Gao,Lingyun, Bezerianos,Anastasios, Sun,Yu, Jung,Tzyy Ping. Dynamic Reorganization of Functional Connectivity Unmasks Fatigue Related Performance Declines in Simulated Driving[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28(8), 1790-1799.
Authors:
Wang,Hongtao
;
Liu,Xucheng
;
Hu,Hongying
;
Wan,Feng
;
Li,Ting
; et al.
Favorite
|
TC[WOS]:
38
TC[Scopus]:
44
IF:
4.8
/
5.4
|
Submit date:2021/03/11
Driving Fatigue
Dynamic Functional Connectivity
Eeg
Spatiotemporal Topology
Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study
Journal article
Haijing Niu, Zhaojun Zhu, Mengjing Wan, Xuanyu Li, Zhen Yuan, Yu Sun, Ying Han. Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study[J]. Neurophotonics, 2019, 6(2), 025010.
Authors:
Haijing Niu
;
Zhaojun Zhu
;
Mengjing Wan
;
Xuanyu Li
;
Zhen Yuan
; et al.
Adobe PDF
|
Favorite
|
TC[WOS]:
32
TC[Scopus]:
32
|
Submit date:2022/08/21
CommunicAtion WithIn The BraIn Is Highly Dynamic. AlzheI.e.’s dIseAse (Ad) ExhibIts Dynamic.progression COrrespondIng To a DeclIne In MemOry And Cognition. HoWever, Little Is Known Of wheTher BraIn Dynamic. Are dIsrupted In Ad And Its Prodromal Stage, Mild CognitI.e.impairment (Mci). FOr Our Study, We AcquI.e. High samplIng RAte Functional near-InfrAred Spectroscopy imagIng DAta At Rest From The EntI.e.cOrtex Of 23 pAtients With Ad Dementia, 25 pAtients With Amnestic Mild CognitI.e.impairment (aMci), And 30 age-mAtched Healthy Controls (Hcs). slidIng-wIndow cOrrelAtion And K-means clusterIng Analyses Were Used To Construct Dynamic.Functional Connectivity (Fc) Maps FOr Each Participant. We dIscovered thAt The BraIn’s Dynamic.Fc Variability Strength (q) Significantly IncreAsed In Both aMci And Ad Group As compAred To Hcs. usIng The q Value As a meAsurement, The clAssificAtion perFOrmance ExhibI.e. a Good poWer In differentiAtIng aMci [Area Under The Curve (Auc ¼ 82.5%)] Or Ad (Auc ¼ 86.4%) From Hcs. furThermOre, We Identified Two abnOrmal BraIn Fc stAtes In The Ad Group, Of Which The Occurrence Frequency (f) ExhibI.e. a Significant decreAse FOr The First-level Fc stAte (stAte 1) And a Significant IncreAse FOr The Second-level Fc stAte (stAte 2). We Also Found thAt The abnOrmal f In These Two stAtes Significantly cOrrelAted With The CognitI.e.impairment In pAtients. These fIndIngs provI.e.The First EvI.e.ce To demonstRAte The dIsruptions Of Dynamic.BraIn Connectivity In aMci And Ad And Extend The trAditional stAtic (I.e., tI.e.averaged) Fc fIndIngs In The dIseAse (I.e., dIsconnection Syndrome) And Thus provI.e.Insights InTo UnderstAndIng The pAthophysiological mechanIsms occurrIng In aMci And Ad.