NDLI: Harnessing graphics processing units for improved neuroimaging statistics

Content Provider	Springer Nature Link
Author	Eklund, Anders Villani, Mattias LaConte, Stephen M.
Copyright Year	2013
Abstract	Simple models and algorithms based on restrictive assumptions are often used in the field of neuroimaging for studies involving functional magnetic resonance imaging, voxel based morphometry, and diffusion tensor imaging. Nonparametric statistical methods or flexible Bayesian models can be applied rather easily to yield more trustworthy results. The spatial normalization step required for multisubject studies can also be improved by taking advantage of more robust algorithms for image registration. A common drawback of algorithms based on weaker assumptions, however, is the increase in computational complexity. In this short overview, we will therefore present some examples of how inexpensive PC graphics hardware, normally used for demanding computer games, can be used to enable practical use of more realistic models and accurate algorithms, such that the outcome of neuroimaging studies really can be trusted.
Starting Page	587
Ending Page	597
Page Count	11
File Format	PDF
ISSN	15307026
Journal	Cognitive, Affective, & Behavioral Neuroscience
Volume Number	13
Issue Number	3
e-ISSN	1531135X
Language	English
Publisher	Springer US
Publisher Date	2013-04-28
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Non-parametric statistics Neuroimaging Bayesian statistics Graphics processing units Spatial normalization fMRI VBM DTI Cognitive Psychology Neurosciences
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Behavioral Neuroscience

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Harnessing graphics processing units for improved neuroimaging statistics.

Differentiating emotional processing and attention in psychopathy with functional neuroimaging

Number of events and reliability in fMRI

FMRI reliability: Influences of task and experimental design

A critical review of the neuroimaging literature on synesthesia

Affective personality differences in neural processing efficiency confirmed using fMRI

Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2)

Data Descriptor: A longitudinal neuroimaging dataset on multisensory lexical processing in school-aged children

Better living through transparency: Improving the reproducibility of fMRI results through comprehensive methods reporting

Harnessing graphics processing units for improved neuroimaging statistics

Similar Documents

Harnessing graphics processing units for improved neuroimaging statistics.

Differentiating emotional processing and attention in psychopathy with functional neuroimaging

Number of events and reliability in fMRI

FMRI reliability: Influences of task and experimental design

A critical review of the neuroimaging literature on synesthesia

Affective personality differences in neural processing efficiency confirmed using fMRI

Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2)

Data Descriptor: A longitudinal neuroimaging dataset on multisensory lexical processing in school-aged children

Better living through transparency: Improving the reproducibility of fMRI results through comprehensive methods reporting

Harnessing graphics processing units for improved neuroimaging statistics