ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Mapping distinct timescales of functional interactions among brain networks

Sundaresan, Mali and Nabeel, Arshed and Sridharan, Devarajan (2017) Mapping distinct timescales of functional interactions among brain networks. In: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 30 .

[img]
Preview
PDF
6999-mapping-distinct-timescales-of-functional-interactions-among-brain-networks.pdf

Download (1MB) | Preview

Abstract

Brain processes occur at various timescales, ranging from milliseconds (neurons) to minutes and hours (behavior). Characterizing functional coupling among brain regions at these diverse timescales is key to understanding how the brain produces behavior. Here, we apply instantaneous and lag-based measures of conditional linear dependence, based on Granger-Geweke causality (GC), to infer network connections at distinct timescales from functional magnetic resonance imaging (fMRI) data. Due to the slow sampling rate of fMRI, it is widely held that GC produces spurious and unreliable estimates of functional connectivity when applied to fMRI data. We challenge this claim with simulations and a novel machine learning approach. First, we show, with simulated fMRI data, that instantaneous and lag-based GC identify distinct timescales and complementary patterns of functional connectivity. Next, we analyze fMRI scans from 500 subjects and show that a linear classifier trained on either instantaneous or lag-based GC connectivity reliably distinguishes task versus rest brain states, with similar to 80-85% cross-validation accuracy. Importantly, instantaneous and lag-based GC exploit markedly different spatial and temporal patterns of connectivity to achieve robust classification. Our approach enables identifying functionally connected networks that operate at distinct timescales in the brain.

Item Type: Journal Article
Additional Information: 31st Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, 2017
Keywords: GRANGER CAUSALITY; LINEAR-DEPENDENCE; FEEDBACK; FMRI; DYNAMICS; TOOLBOX
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Depositing User: Francis Jayakanth
Date Deposited: 24 Jan 2019 12:01
Last Modified: 24 Jan 2019 12:01
URI: http://eprints.iisc.ac.in/id/eprint/61420

Actions (login required)

View Item View Item