Decentralized temporal independent component analysis: leveraging fMRI data in collaborative settings

Accepted manuscript

Open access

Peer reviewed

Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun and Sergey M. Plis

NeuroImage, Vol.186, pp.557-569

2019

DOI:

https://doi.org/10.7282/t3-vv56-5b14

Abstract

Independent component analysis

Temporal independent component analysis

Decentralization

Collaborative analysis

fMRI

pdf

Decentralized Temporal Independent Component Analysis2.22 MBDownload View

Accepted Manuscript (AM) Open Access

url

https://doi.org/10.1016/j.neuroimage.2018.10.072View

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Title: Subtitle: Decentralized temporal independent component analysis: leveraging fMRI data in collaborative settings
Creators: Bradley T. Baker (Author) - University of New Mexico
Anees Abrol (Author) - University of New Mexico
Rogers F. Silva (Author) - Mind Research Network
Eswar Damaraju (Author) - University of New Mexico
Anand D. Sarwate (Author) - Electrical and Computer Engineering, Rutgers University
Vince D. Calhoun (Author) - University of New Mexico
Sergey M. Plis (Author) - University of New Mexico
Publication Details: NeuroImage, Vol.186, pp.557-569
Date published: 2019
Publisher: Rutgers University
Number of pages: 1 online resource (16 pages) : illustrations
Grant note: National Institutes of Health - 1R01DA040487-01A1
Academic Unit: Electrical and Computer Engineering (SOE); Wireless Information Network Laboratory; School of Engineering
Language: English
Resource Type: Accepted manuscript
Identifiers: 991031549946904646