276 related articles for article (PubMed ID: 27733821)
1. Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study.
Yu Q; Wu L; Bridwell DA; Erhardt EB; Du Y; He H; Chen J; Liu P; Sui J; Pearlson G; Calhoun VD
Front Hum Neurosci; 2016; 10():476. PubMed ID: 27733821
[TBL] [Abstract][Full Text] [Related]
2. Dynamic Brain Connectivity in Resting-State FMRI Using Spectral ICA and Graph Approach: Application to Healthy Controls and Multiple Sclerosis.
Riazi AH; Rabbani H; Kafieh R
Diagnostics (Basel); 2022 Sep; 12(9):. PubMed ID: 36140663
[TBL] [Abstract][Full Text] [Related]
3. Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.
Yu Q; Erhardt EB; Sui J; Du Y; He H; Hjelm D; Cetin MS; Rachakonda S; Miller RL; Pearlson G; Calhoun VD
Neuroimage; 2015 Feb; 107():345-355. PubMed ID: 25514514
[TBL] [Abstract][Full Text] [Related]
4. EEG characteristics in "eyes-open" versus "eyes-closed" conditions: Small-world network architecture in healthy aging and age-related brain degeneration.
Miraglia F; Vecchio F; Bramanti P; Rossini PM
Clin Neurophysiol; 2016 Feb; 127(2):1261-1268. PubMed ID: 26603651
[TBL] [Abstract][Full Text] [Related]
5. A Single Session of rTMS Enhances Small-Worldness in Writer's Cramp: Evidence from Simultaneous EEG-fMRI Multi-Modal Brain Graph.
Bharath RD; Panda R; Reddam VR; Bhaskar MV; Gohel S; Bhardwaj S; Prajapati A; Pal PK
Front Hum Neurosci; 2017; 11():443. PubMed ID: 28928648
[No Abstract] [Full Text] [Related]
6. fMRI BOLD Correlates of EEG Independent Components: Spatial Correspondence With the Default Mode Network.
Prestel M; Steinfath TP; Tremmel M; Stark R; Ott U
Front Hum Neurosci; 2018; 12():478. PubMed ID: 30542275
[No Abstract] [Full Text] [Related]
7. Preservation of EEG spectral power features during simultaneous EEG-fMRI.
Gallego-Rudolf J; Corsi-Cabrera M; Concha L; Ricardo-Garcell J; Pasaye-Alcaraz E
Front Neurosci; 2022; 16():951321. PubMed ID: 36620439
[TBL] [Abstract][Full Text] [Related]
8. The difference of brain functional connectivity between eyes-closed and eyes-open using graph theoretical analysis.
Tan B; Kong X; Yang P; Jin Z; Li L
Comput Math Methods Med; 2013; 2013():976365. PubMed ID: 23690886
[TBL] [Abstract][Full Text] [Related]
9. EEG Signatures of Dynamic Functional Network Connectivity States.
Allen EA; Damaraju E; Eichele T; Wu L; Calhoun VD
Brain Topogr; 2018 Jan; 31(1):101-116. PubMed ID: 28229308
[TBL] [Abstract][Full Text] [Related]
10. EEG default mode network in the human brain: spectral regional field powers.
Chen AC; Feng W; Zhao H; Yin Y; Wang P
Neuroimage; 2008 Jun; 41(2):561-74. PubMed ID: 18403217
[TBL] [Abstract][Full Text] [Related]
11. Dynamic changes of ICA-derived EEG functional connectivity in the resting state.
Chen JL; Ros T; Gruzelier JH
Hum Brain Mapp; 2013 Apr; 34(4):852-68. PubMed ID: 22344782
[TBL] [Abstract][Full Text] [Related]
12. Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs).
Dimitriadis SI; Salis C; Tarnanas I; Linden DE
Front Neuroinform; 2017; 11():28. PubMed ID: 28491032
[TBL] [Abstract][Full Text] [Related]
13. EEG-fMRI reciprocal functional neuroimaging.
Yang L; Liu Z; He B
Clin Neurophysiol; 2010 Aug; 121(8):1240-50. PubMed ID: 20378397
[TBL] [Abstract][Full Text] [Related]
14. Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study.
Yu Q; Du Y; Chen J; He H; Sui J; Pearlson G; Calhoun VD
J Neurosci Methods; 2017 Nov; 291():61-68. PubMed ID: 28807861
[TBL] [Abstract][Full Text] [Related]
15. Dynamic Properties of Human Default Mode Network in Eyes-Closed and Eyes-Open.
Liu X; Wu X; Zhong M; Huang H; Weng Y; Niu M; Zhao L; Huang R
Brain Topogr; 2020 Nov; 33(6):720-732. PubMed ID: 32803623
[TBL] [Abstract][Full Text] [Related]
16. Multifractal Dynamic Functional Connectivity in the Resting-State Brain.
Racz FS; Stylianou O; Mukli P; Eke A
Front Physiol; 2018; 9():1704. PubMed ID: 30555345
[TBL] [Abstract][Full Text] [Related]
17. A graph-theoretical approach in brain functional networks. Possible implications in EEG studies.
Fallani Fde V; Costa Lda F; Rodriguez FA; Astolfi L; Vecchiato G; Toppi J; Borghini G; Cincotti F; Mattia D; Salinari S; Isabella R; Babiloni F
Nonlinear Biomed Phys; 2010 Jun; 4 Suppl 1(Suppl 1):S8. PubMed ID: 20522269
[TBL] [Abstract][Full Text] [Related]
18. Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition.
Wirsich J; Amico E; Giraud AL; Goñi J; Sadaghiani S
Netw Neurosci; 2020; 4(3):658-677. PubMed ID: 32885120
[TBL] [Abstract][Full Text] [Related]
19. Hemodynamic functional connectivity optimization of frequency EEG microstates enables attention LSTM framework to classify distinct temporal cortical communications of different cognitive tasks.
Agrawal S; Chinnadurai V; Sharma R
Brain Inform; 2022 Oct; 9(1):25. PubMed ID: 36219346
[TBL] [Abstract][Full Text] [Related]
20. Open eyes and closed eyes elicit different temporal properties of brain functional networks.
Weng Y; Liu X; Hu H; Huang H; Zheng S; Chen Q; Song J; Cao B; Wang J; Wang S; Huang R
Neuroimage; 2020 Nov; 222():117230. PubMed ID: 32771616
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
