Intrinsic Connectivity in Resting-State Networks is Related to Antisaccade Task Performance

Abstract

Event Abstract Back to Event Intrinsic Connectivity in Resting-State Networks is Related to Antisaccade Task Performance Sharna Jamadar1*, Joanne Fielding2, Beth P. Johnson2, Vince D. Calhoun3, 4 and Gary F. Egan1 1 Monash University, Monash Biomedical Imaging/School of Psychology & Psychiatry, Australia 2 Monash University, School of Psychology, Australia 3 The Mind Research Network, United States 4 University of New Mexico, Department of Electrical and Computer Engineering, United States BACKGROUND Saccadic eye movements represent one of the most automated and prepotent responses in our behavioural repertoire. When presented with a peripheral target, the prepotent response is to make a saccadic eye movement (prosaccade, PS) towards the target. The antisaccade (AS) task requires inhibition of this reflex and instead elicit a saccadic eye movement to the mirror opposite direction. Given the highly automated and prepotent nature of the PS response, we hypothesize that an individual’s ability to control saccadic eye movements may be related to intrinsic connectivity within neural networks. We examine relationships between AS performance with timecourse spectra of resting-state fMRI networks (RSNs) using high-dimensional ICA and a multivariate fusion approach (Allen et al. 2011 Front.Sys.Neurosci,5) METHOD Participants (n=23) underwent fMRI scanning during AS (50%) and PS (50%) trials and resting-state fMRI in separate runs. Resting-state T2*-weighted images were acquired using GRAPPA EPI (116volumes, TR=2.5s, TE=30ms, FOV=192mm, acquisition matrix=64x64, 44slices, 3x3x3mm voxels). fMRI data were preprocessed with SPM8 (slice time corrected, realigned to the first non-dummy image, coregistered and normalized to MNI space and smoothed 6mm FWHM). Preprocessed images were entered into a high-dimensional (IC=75) group ICA; 48 RSNs were identified. Timecourse spectra of RSNs were entered into a MANCOVA analysis with design matrix defined with the following factors: AS latency, AS error rate, PS latency, PS error rate, AS latency X error rate, PS latency X error rate, AS latency X PS latency, AS error rate X PS error rate, rotational and translational motion. Following multivariate analysis, univariate tests were performed to determine which spectral bins were related to behavioural covariates of interest (FDR p<.05) RESULTS AS trials were performed slower and more accurately than PS trials. AS latency and error rate were moderately related to timecourse spectra. AS latency showed positive relationship with low frequency power in ventrolateral prefrontal cortex and high frequency power in lingual gyri. AS error rate showed negative relationship with low frequency power in orbitofrontal cortex and medial motor regions and high frequency power in lateral motor and lingual gyri DISCUSSION Individual variability in intrinsic connectivity in orbitofrontal, motor and visual regions is related to the cognitive control of eye movements Keywords: Resting-state fMRI, Antisaccade performance, multivariate analysis, oculomotor control, intrinsic connectivity Conference: ACNS-2013 Australasian Cognitive Neuroscience Society Conference, Clayton, Melbourne, Australia, 28 Nov - 1 Dec, 2013. Presentation Type: Poster Topic: Motor Citation: Jamadar S, Fielding J, Johnson BP, Calhoun VD and Egan GF (2013). Intrinsic Connectivity in Resting-State Networks is Related to Antisaccade Task Performance. Conference Abstract: ACNS-2013 Australasian Cognitive Neuroscience Society Conference. doi: 10.3389/conf.fnhum.2013.212.00002 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 23 Oct 2013; Published Online: 25 Nov 2013. * Correspondence: Dr. Sharna Jamadar, Monash University, Monash Biomedical Imaging/School of Psychology & Psychiatry, Clayton, VIC, 3977, Australia, sharna.jamadar@monash.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Sharna Jamadar Joanne Fielding Beth P Johnson Vince D Calhoun Gary F Egan Google Sharna Jamadar Joanne Fielding Beth P Johnson Vince D Calhoun Gary F Egan Google Scholar Sharna Jamadar Joanne Fielding Beth P Johnson Vince D Calhoun Gary F Egan PubMed Sharna Jamadar Joanne Fielding Beth P Johnson Vince D Calhoun Gary F Egan Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.