The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works

Gowtham Atluri; Angus MacDonald; Kelvin O Lim; Vipin Kumar

doi:10.1109/MC.2016.307

The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works

Gowtham Atluri, Angus MacDonald, Kelvin O Lim, Vipin Kumar

Research output: Contribution to specialist publication › Article

17 Scopus citations

Abstract

Functional magnetic resonance imaging (fMRI) is highly suited for studying patterns and relationships in whole-brain activity. A network-based paradigm for analyzing large volumes of fMRI data is a promising framework to understand brain function, but challenges in data analytics must be addressed to enable neuroscience breakthroughs.

Original language	English (US)
Pages	65-71
Number of pages	7
Volume	49
No	10
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2016.307
State	Published - Oct 2016

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Publisher Copyright:
© 1970-2012 IEEE.

Keywords

bioinformatics
brain activity
data analytics
fMRI
functional magnetic resonance imaging
healthcare
neuroscience

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10.1109/MC.2016.307

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abstract = "Functional magnetic resonance imaging (fMRI) is highly suited for studying patterns and relationships in whole-brain activity. A network-based paradigm for analyzing large volumes of fMRI data is a promising framework to understand brain function, but challenges in data analytics must be addressed to enable neuroscience breakthroughs.",

keywords = "bioinformatics, brain activity, data analytics, fMRI, functional magnetic resonance imaging, healthcare, neuroscience",

author = "Gowtham Atluri and Angus MacDonald and Lim, {Kelvin O} and Vipin Kumar",

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The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works

Abstract

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Keywords

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