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

Research output: Contribution to specialist publication › Article

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

Bibliographical note

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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title = "The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works",

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",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2016",

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doi = "10.1109/MC.2016.307",

language = "English (US)",

volume = "49",

pages = "65--71",

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AB - 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.

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KW - neuroscience

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

Abstract

Bibliographical note

Keywords

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