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Items: 1 to 20 of 87

1.

Exploring the functional brain network of Alzheimer's disease: based on the computational experiment.

Li Y, Qin Y, Chen X, Li W.

PLoS One. 2013 Sep 3;8(9):e73186. doi: 10.1371/journal.pone.0073186. eCollection 2013.

2.

Identifying patients with Alzheimer's disease using resting-state fMRI and graph theory.

Khazaee A, Ebrahimzadeh A, Babajani-Feremi A.

Clin Neurophysiol. 2015 Nov;126(11):2132-41. doi: 10.1016/j.clinph.2015.02.060. Epub 2015 Apr 1.

PMID:
25907414
3.

Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity.

Sanz-Arigita EJ, Schoonheim MM, Damoiseaux JS, Rombouts SA, Maris E, Barkhof F, Scheltens P, Stam CJ.

PLoS One. 2010 Nov 1;5(11):e13788. doi: 10.1371/journal.pone.0013788.

4.

Network analysis of intrinsic functional brain connectivity in Alzheimer's disease.

Supekar K, Menon V, Rubin D, Musen M, Greicius MD.

PLoS Comput Biol. 2008 Jun 27;4(6):e1000100. doi: 10.1371/journal.pcbi.1000100.

5.

[Small-worldness of functional networks in Alzheimer's disease].

Zhao XH, Wang XB, Xi Q, Jiang H, Guo QH, Liu Y, Wang PJ.

Zhonghua Yi Xue Za Zhi. 2012 Mar 6;92(9):579-82. Chinese.

PMID:
22800942
6.

Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease.

Liu Y, Yu C, Zhang X, Liu J, Duan Y, Alexander-Bloch AF, Liu B, Jiang T, Bullmore E.

Cereb Cortex. 2014 Jun;24(6):1422-35. doi: 10.1093/cercor/bhs410. Epub 2013 Jan 11.

7.

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Dyrba M, Grothe M, Kirste T, Teipel SJ.

Hum Brain Mapp. 2015 Jun;36(6):2118-31. doi: 10.1002/hbm.22759. Epub 2015 Feb 9.

PMID:
25664619
8.

[Study on Brain Functional Connectivity Using Resting State Electroencephalogram Based on Synchronization Likelihood in Alzheimer's Disease].

Li L, Chen J, Zheng X.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2015 Oct;32(5):952-7. Chinese.

PMID:
26964294
9.

Disruption of functional brain networks in Alzheimer's disease: what can we learn from graph spectral analysis of resting-state magnetoencephalography?

de Haan W, van der Flier WM, Wang H, Van Mieghem PF, Scheltens P, Stam CJ.

Brain Connect. 2012;2(2):45-55. doi: 10.1089/brain.2011.0043. Epub 2012 Jun 11.

PMID:
22480296
10.

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.

Khazaee A, Ebrahimzadeh A, Babajani-Feremi A.

Brain Imaging Behav. 2016 Sep;10(3):799-817. doi: 10.1007/s11682-015-9448-7.

PMID:
26363784
11.

Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory.

de Haan W, Pijnenburg YA, Strijers RL, van der Made Y, van der Flier WM, Scheltens P, Stam CJ.

BMC Neurosci. 2009 Aug 21;10:101. doi: 10.1186/1471-2202-10-101.

12.

Altered functional connectivity in early Alzheimer's disease: a resting-state fMRI study.

Wang K, Liang M, Wang L, Tian L, Zhang X, Li K, Jiang T.

Hum Brain Mapp. 2007 Oct;28(10):967-78.

PMID:
17133390
13.

Breakdown of brain connectivity between normal aging and Alzheimer's disease: a structural k-core network analysis.

Daianu M, Jahanshad N, Nir TM, Toga AW, Jack CR Jr, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative..

Brain Connect. 2013;3(4):407-22. doi: 10.1089/brain.2012.0137.

14.

Toward systems neuroscience in mild cognitive impairment and Alzheimer's disease: a meta-analysis of 75 fMRI studies.

Li HJ, Hou XH, Liu HH, Yue CL, He Y, Zuo XN.

Hum Brain Mapp. 2015 Mar;36(3):1217-32. doi: 10.1002/hbm.22689. Epub 2014 Nov 19. Review.

PMID:
25411150
15.

Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease.

Dai Z, Yan C, Li K, Wang Z, Wang J, Cao M, Lin Q, Shu N, Xia M, Bi Y, He Y.

Cereb Cortex. 2015 Oct;25(10):3723-42. doi: 10.1093/cercor/bhu246. Epub 2014 Oct 19.

PMID:
25331602
16.

Differentially disrupted functional connectivity of the subregions of the inferior parietal lobule in Alzheimer's disease.

Wang Z, Xia M, Dai Z, Liang X, Song H, He Y, Li K.

Brain Struct Funct. 2015 Mar;220(2):745-62. doi: 10.1007/s00429-013-0681-9. Epub 2013 Dec 1.

PMID:
24292325
17.

Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis.

Liu Z, Zhang Y, Bai L, Yan H, Dai R, Zhong C, Wang H, Wei W, Xue T, Feng Y, You Y, Tian J.

NMR Biomed. 2012 Dec;25(12):1311-20. doi: 10.1002/nbm.2803. Epub 2012 Apr 16.

PMID:
22505275
18.

Characteristics of the default mode functional connectivity in normal ageing and Alzheimer's disease using resting state fMRI with a combined approach of entropy-based and graph theoretical measurements.

Toussaint PJ, Maiz S, Coynel D, Doyon J, Messé A, de Souza LC, Sarazin M, Perlbarg V, Habert MO, Benali H.

Neuroimage. 2014 Nov 1;101:778-86. doi: 10.1016/j.neuroimage.2014.08.003. Epub 2014 Aug 9.

PMID:
25111470
19.

Impaired small-world network efficiency and dynamic functional distribution in patients with cirrhosis.

Hsu TW, Wu CW, Cheng YF, Chen HL, Lu CH, Cho KH, Lin WC, Lin CP.

PLoS One. 2012;7(5):e35266. doi: 10.1371/journal.pone.0035266. Epub 2012 May 1.

20.

[Structural and functional neuronal connectivity in Alzheimer's disease: a combined DTI and fMRI study].

Soldner J, Meindl T, Koch W, Bokde AL, Reiser MF, Möller HJ, Bürger K, Hampel H, Teipel SJ.

Nervenarzt. 2012 Jul;83(7):878-87. doi: 10.1007/s00115-011-3326-3. German.

PMID:
21713583

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