An extensive assessment of network alignment algorithms for comparison of brain connectomes-Reference-Cited by-同舟云学术

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An extensive assessment of network alignment algorithms for comparison of brain connectomes

Published:2017-06 Issue:S6 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Milano Marianna,Guzzi Pietro Hiram,Tymofieva Olga,Xu Duan,Hess Christofer,Veltri Pierangelo,Cannataro Mario

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1635-7.pdf

Reference30 articles.

1. Kiani R, Cueva CJ, Reppas JB, Peixoto D, Ryu SI, Newsome WT. Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex. Neuron. 2015; 85(6):1359–73.

2. Bargmann CI, Marder E. From the connectome to brain function. Nat Methods. 2013; 10(6):483–90.

3. Lenka A, Naduthota RM, Jha M, Panda R, Prajapati A, Jhunjhunwala K, Saini J, Yadav R, Bharath RD, Pal PK. Freezing of gait in parkinson’s disease is associated with altered functional brain connectivity. Parkinsonism Relat Disord. 2016; 24:100–6.

4. Stein MB, Simmons AN, Feinstein JS, Paulus MP. Increased amygdala and insula activation during emotion processing in anxiety-prone subjects. Am J Psychiatr. 2007; 164(2):318–27.

5. Sporns O, Tononi G, Kötter R. The human connectome: a structural description of the human brain. PLoS Comput Biol. 2005; 1(4):42.

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