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Items: 1 to 20 of 100

1.

Increased brain entropy of resting-state fMRI mediates the relationship between depression severity and mental health-related quality of life in late-life depressed elderly.

Lin C, Lee SH, Huang CM, Chen GY, Ho PS, Liu HL, Chen YL, Lee TM, Wu SC.

J Affect Disord. 2019 May 1;250:270-277. doi: 10.1016/j.jad.2019.03.012. Epub 2019 Mar 5.

PMID:
30870777
2.

Complexity analysis of resting state fMRI signals in depressive patients.

Pei-Shan Ho, Chemin Lin, Guan-Yen Chen, Ho-Ling Liu, Chih-Mao Huang, Tatia Mei-Chun Lee, Shwu-Hua Lee, Shun-Chi Wu.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:3190-3193. doi: 10.1109/EMBC.2017.8037535.

PMID:
29060576
3.

Late-Life Depression: Modifications of Brain Resting State Activity.

Cieri F, Esposito R, Cera N, Pieramico V, Tartaro A, di Giannantonio M.

J Geriatr Psychiatry Neurol. 2017 May;30(3):140-150. doi: 10.1177/0891988717700509. Epub 2017 Mar 30.

PMID:
28355945
4.

Multiple time scale complexity analysis of resting state FMRI.

Smith RX, Yan L, Wang DJ.

Brain Imaging Behav. 2014 Jun;8(2):284-91. doi: 10.1007/s11682-013-9276-6. Epub 2013 Nov 16.

5.

Dynamic Complexity of Spontaneous BOLD Activity in Alzheimer's Disease and Mild Cognitive Impairment Using Multiscale Entropy Analysis.

Niu Y, Wang B, Zhou M, Xue J, Shapour H, Cao R, Cui X, Wu J, Xiang J.

Front Neurosci. 2018 Oct 1;12:677. doi: 10.3389/fnins.2018.00677. eCollection 2018.

6.

Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span.

Sokunbi MO, Cameron GG, Ahearn TS, Murray AD, Staff RT.

Med Eng Phys. 2015 Nov;37(11):1082-90. doi: 10.1016/j.medengphy.2015.09.001. Epub 2015 Oct 21.

PMID:
26475494
7.

Neurophysiological basis of creativity in healthy elderly people: a multiscale entropy approach.

Ueno K, Takahashi T, Takahashi K, Mizukami K, Tanaka Y, Wada Y.

Clin Neurophysiol. 2015 Mar;126(3):524-31. doi: 10.1016/j.clinph.2014.06.032. Epub 2014 Jul 6.

PMID:
25066939
8.

Functional connectivity in late-life depression using resting-state functional magnetic resonance imaging.

Kenny ER, O'Brien JT, Cousins DA, Richardson J, Thomas AJ, Firbank MJ, Blamire AM.

Am J Geriatr Psychiatry. 2010 Jul;18(7):643-51. doi: 10.1097/JGP.0b013e3181cabd0e.

PMID:
20220591
9.

Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping.

Wang B, Niu Y, Miao L, Cao R, Yan P, Guo H, Li D, Guo Y, Yan T, Wu J, Xiang J, Zhang H.

Front Aging Neurosci. 2017 Nov 20;9:378. doi: 10.3389/fnagi.2017.00378. eCollection 2017.

10.

Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression.

Li W, Wang Y, Ward BD, Antuono PG, Li SJ, Goveas JS.

J Psychiatr Res. 2017 Apr;87:71-80. doi: 10.1016/j.jpsychires.2016.12.011. Epub 2016 Dec 12.

11.

Altered resting-state functional connectivity in late-life depression: A cross-sectional study.

Eyre HA, Yang H, Leaver AM, Van Dyk K, Siddarth P, Cyr NS, Narr K, Ercoli L, Baune BT, Lavretsky H.

J Affect Disord. 2016 Jan 1;189:126-33. doi: 10.1016/j.jad.2015.09.011. Epub 2015 Sep 28.

12.

Abnormal regional spontaneous neural activity in first-episode, treatment-naive patients with late-life depression: a resting-state fMRI study.

Liu F, Hu M, Wang S, Guo W, Zhao J, Li J, Xun G, Long Z, Zhang J, Wang Y, Zeng L, Gao Q, Wooderson SC, Chen J, Chen H.

Prog Neuropsychopharmacol Biol Psychiatry. 2012 Dec 3;39(2):326-31. doi: 10.1016/j.pnpbp.2012.07.004. Epub 2012 Jul 10.

PMID:
22796277
13.

[Regional homogeneity in the patients of irritable bowel syndrome complicated with depression: a resting-state functional magnetic resonance imaging study].

Li J, Li GX, Guo Y, Lu XQ, Li L, Ding JP.

Zhonghua Yi Xue Za Zhi. 2018 Jan 16;98(3):196-201. doi: 10.3760/cma.j.issn.0376-2491.2018.03.008. Chinese.

PMID:
29374914
14.

Neurophysiological Basis of Multi-Scale Entropy of Brain Complexity and Its Relationship With Functional Connectivity.

Wang DJJ, Jann K, Fan C, Qiao Y, Zang YF, Lu H, Yang Y.

Front Neurosci. 2018 May 29;12:352. doi: 10.3389/fnins.2018.00352. eCollection 2018. Erratum in: Front Neurosci. 2018 Jul 30;12:539.

15.

Wavelet-based regularity analysis reveals recurrent spatiotemporal behavior in resting-state fMRI.

Smith RX, Jann K, Ances B, Wang DJ.

Hum Brain Mapp. 2015 Sep;36(9):3603-20. doi: 10.1002/hbm.22865. Epub 2015 Jun 12.

16.

Default Mode Network Complexity and Cognitive Decline in Mild Alzheimer's Disease.

Grieder M, Wang DJJ, Dierks T, Wahlund LO, Jann K.

Front Neurosci. 2018 Oct 23;12:770. doi: 10.3389/fnins.2018.00770. eCollection 2018.

17.

Default-mode network connectivity and white matter burden in late-life depression.

Wu M, Andreescu C, Butters MA, Tamburo R, Reynolds CF 3rd, Aizenstein H.

Psychiatry Res. 2011 Oct 31;194(1):39-46. doi: 10.1016/j.pscychresns.2011.04.003. Epub 2011 Aug 6.

18.

A Strategy to Reduce Bias of Entropy Estimates in Resting-State fMRI Signals.

Yang AC, Tsai SJ, Lin CP, Peng CK.

Front Neurosci. 2018 Jun 13;12:398. doi: 10.3389/fnins.2018.00398. eCollection 2018.

19.

Multimodal brain connectivity analysis in unmedicated late-life depression.

Tadayonnejad R, Yang S, Kumar A, Ajilore O.

PLoS One. 2014 Apr 24;9(4):e96033. doi: 10.1371/journal.pone.0096033. eCollection 2014.

20.

Network complexity as a measure of information processing across resting-state networks: evidence from the Human Connectome Project.

McDonough IM, Nashiro K.

Front Hum Neurosci. 2014 Jun 10;8:409. doi: 10.3389/fnhum.2014.00409. eCollection 2014.

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