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Items: 1 to 20 of 102

1.

Distinct dynamic functional connectivity patterns of pain and touch thresholds: A resting-state fMRI study.

Yuan Y, Zhang L, Li L, Huang G, Anter A, Liang Z, Zhang Z.

Behav Brain Res. 2019 Aug 5;375:112142. doi: 10.1016/j.bbr.2019.112142. [Epub ahead of print]

PMID:
31394144
2.

Test-retest reliability of dynamic functional connectivity in resting state fMRI.

Zhang C, Baum SA, Adduru VR, Biswal BB, Michael AM.

Neuroimage. 2018 Dec;183:907-918. doi: 10.1016/j.neuroimage.2018.08.021. Epub 2018 Aug 16.

PMID:
30120987
3.

Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.

Fu Z, Tu Y, Di X, Du Y, Pearlson GD, Turner JA, Biswal BB, Zhang Z, Calhoun VD.

Neuroimage. 2018 Oct 15;180(Pt B):619-631. doi: 10.1016/j.neuroimage.2017.09.035. Epub 2017 Sep 20.

PMID:
28939432
4.

Dynamic Functional Connectivity and Symptoms of Parkinson's Disease: A Resting-State fMRI Study.

Engels G, Vlaar A, McCoy B, Scherder E, Douw L.

Front Aging Neurosci. 2018 Nov 23;10:388. doi: 10.3389/fnagi.2018.00388. eCollection 2018.

5.

Impact of 36 h of total sleep deprivation on resting-state dynamic functional connectivity.

Xu H, Shen H, Wang L, Zhong Q, Lei Y, Yang L, Zeng LL, Zhou Z, Hu D, Yang Z.

Brain Res. 2018 Jun 1;1688:22-32. doi: 10.1016/j.brainres.2017.11.011. Epub 2017 Nov 22.

PMID:
29174693
6.

Transient states of network connectivity are atypical in autism: A dynamic functional connectivity study.

Mash LE, Linke AC, Olson LA, Fishman I, Liu TT, Müller RA.

Hum Brain Mapp. 2019 Jun 1;40(8):2377-2389. doi: 10.1002/hbm.24529. Epub 2019 Jan 25.

PMID:
30681228
7.

Impact of global signal regression on characterizing dynamic functional connectivity and brain states.

Xu H, Su J, Qin J, Li M, Zeng LL, Hu D, Shen H.

Neuroimage. 2018 Jun;173:127-145. doi: 10.1016/j.neuroimage.2018.02.036. Epub 2018 Feb 21.

PMID:
29476914
8.

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

Hindriks R, Adhikari MH, Murayama Y, Ganzetti M, Mantini D, Logothetis NK, Deco G.

Neuroimage. 2016 Feb 15;127:242-256. doi: 10.1016/j.neuroimage.2015.11.055. Epub 2015 Nov 26. Erratum in: Neuroimage. 2016 May 15;132:115.

9.

Altered Local and Large-Scale Dynamic Functional Connectivity Variability in Posttraumatic Stress Disorder: A Resting-State fMRI Study.

Fu S, Ma X, Wu Y, Bai Z, Yi Y, Liu M, Lan Z, Hua K, Huang S, Li M, Jiang G.

Front Psychiatry. 2019 Apr 12;10:234. doi: 10.3389/fpsyt.2019.00234. eCollection 2019.

10.

Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder.

Du Y, Pearlson GD, Lin D, Sui J, Chen J, Salman M, Tamminga CA, Ivleva EI, Sweeney JA, Keshavan MS, Clementz BA, Bustillo J, Calhoun VD.

Hum Brain Mapp. 2017 May;38(5):2683-2708. doi: 10.1002/hbm.23553. Epub 2017 Mar 10.

11.

Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity: Reduced neuronal coupling variability in mild cognitive impairment and dementia due to Alzheimer's disease.

Núñez P, Poza J, Gomez C, Rodríguez-González V, Hillebrand A, Tola-Arribas MÁ, Cano M, Hornero R.

J Neural Eng. 2019 May 21. doi: 10.1088/1741-2552/ab234b. [Epub ahead of print]

PMID:
31112938
12.

Information processing speed in multiple sclerosis: Relevance of default mode network dynamics.

van Geest Q, Douw L, van 't Klooster S, Leurs CE, Genova HM, Wylie GR, Steenwijk MD, Killestein J, Geurts JJG, Hulst HE.

Neuroimage Clin. 2018 May 15;19:507-515. doi: 10.1016/j.nicl.2018.05.015. eCollection 2018.

13.

Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity.

Chiang S, Vankov ER, Yeh HJ, Guindani M, Vannucci M, Haneef Z, Stern JM.

PLoS One. 2018 Jan 10;13(1):e0190220. doi: 10.1371/journal.pone.0190220. eCollection 2018.

14.

Dynamic functional connectivity markers of objective trait mindfulness.

Lim J, Teng J, Patanaik A, Tandi J, Massar SAA.

Neuroimage. 2018 Aug 1;176:193-202. doi: 10.1016/j.neuroimage.2018.04.056. Epub 2018 Apr 27.

PMID:
29709625
15.

Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI.

Nalci A, Rao BD, Liu TT.

Neuroimage. 2019 Jan 1;184:1005-1031. doi: 10.1016/j.neuroimage.2018.09.024. Epub 2018 Sep 14.

PMID:
30223062
16.

Disentangling dynamic networks: Separated and joint expressions of functional connectivity patterns in time.

Leonardi N, Shirer WR, Greicius MD, Van De Ville D.

Hum Brain Mapp. 2014 Dec;35(12):5984-95. doi: 10.1002/hbm.22599. Epub 2014 Jul 31.

PMID:
25081921
17.

Dynamic pain connectome functional connectivity and oscillations reflect multiple sclerosis pain.

Bosma RL, Kim JA, Cheng JC, Rogachov A, Hemington KS, Osborne NR, Oh J, Davis KD.

Pain. 2018 Nov;159(11):2267-2276. doi: 10.1097/j.pain.0000000000001332.

PMID:
29994989
18.

Altered dynamic functional connectivity in the default mode network in patients with cirrhosis and minimal hepatic encephalopathy.

Chen HJ, Lin HL, Chen QF, Liu PF.

Neuroradiology. 2017 Sep;59(9):905-914. doi: 10.1007/s00234-017-1881-4. Epub 2017 Jul 13.

PMID:
28707166
19.

Dimensionality reduction impedes the extraction of dynamic functional connectivity states from fMRI recordings of resting wakefulness.

Kafashan M, Palanca BJA, Ching S.

J Neurosci Methods. 2018 Jan 1;293:151-161. doi: 10.1016/j.jneumeth.2017.09.013. Epub 2017 Sep 22.

20.

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