Literature DB >> 27117091

Intrinsic Connectivity Provides the Baseline Framework for Variability in Motor Performance: A Multivariate Fusion Analysis of Low- and High-Frequency Resting-State Oscillations and Antisaccade Performance.

Sharna D Jamadar1,2,3, Gary F Egan1,2,3, Vince D Calhoun4,5, Beth Johnson2, Joanne Fielding2,6.   

Abstract

Intrinsic brain activity provides the functional framework for the brain's full repertoire of behavioral responses; that is, a common mechanism underlies intrinsic and extrinsic neural activity, with extrinsic activity building upon the underlying baseline intrinsic activity. The generation of a motor movement in response to sensory stimulation is one of the most fundamental functions of the central nervous system. Since saccadic eye movements are among our most stereotyped motor responses, we hypothesized that individual variability in the ability to inhibit a prepotent saccade and make a voluntary antisaccade would be related to individual variability in intrinsic connectivity. Twenty-three individuals completed the antisaccade task and resting-state functional magnetic resonance imaging (fMRI). A multivariate analysis of covariance identified relationships between fMRI oscillations (0.01-0.2 Hz) of resting-state networks determined using high-dimensional independent component analysis and antisaccade performance (latency, error rate). Significant multivariate relationships between antisaccade latency and directional error rate were obtained in independent components across the entire brain. Some of the relationships were obtained in components that overlapped substantially with the task; however, many were obtained in components that showed little overlap with the task. The current results demonstrate that even in the absence of a task, spectral power in regions showing little overlap with task activity predicts an individual's performance on a saccade task.

Entities:  

Keywords:  antisaccade; functional magnetic resonance imaging (fMRI); intrinsic connectivity; low-frequency oscillations; multivariate covariate analysis; oculomotor; resting-state fMRI; time-course spectra

Mesh:

Year:  2016        PMID: 27117091      PMCID: PMC5695740          DOI: 10.1089/brain.2015.0411

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  79 in total

Review 1.  The restless brain.

Authors:  Marcus E Raichle
Journal:  Brain Connect       Date:  2011

Review 2.  Neural control of saccadic eye movements.

Authors:  Nicolas Catz; Peter Thier
Journal:  Dev Ophthalmol       Date:  2007

3.  Behavioral interpretations of intrinsic connectivity networks.

Authors:  Angela R Laird; P Mickle Fox; Simon B Eickhoff; Jessica A Turner; Kimberly L Ray; D Reese McKay; David C Glahn; Christian F Beckmann; Stephen M Smith; Peter T Fox
Journal:  J Cogn Neurosci       Date:  2011-06-14       Impact factor: 3.225

4.  Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.

Authors:  E Zarahn; G K Aguirre; M D'Esposito
Journal:  Neuroimage       Date:  1997-04       Impact factor: 6.556

Review 5.  Cortico-basal ganglia mechanisms for overcoming innate, habitual and motivational behaviors.

Authors:  Masaki Isoda; Okihide Hikosaka
Journal:  Eur J Neurosci       Date:  2011-06       Impact factor: 3.386

6.  An information-maximization approach to blind separation and blind deconvolution.

Authors:  A J Bell; T J Sejnowski
Journal:  Neural Comput       Date:  1995-11       Impact factor: 2.026

7.  Impact of analysis methods on the reproducibility and reliability of resting-state networks.

Authors:  Alexandre R Franco; Maggie V Mannell; Vince D Calhoun; Andrew R Mayer
Journal:  Brain Connect       Date:  2013-08-03

Review 8.  Neurophysiology and neuroanatomy of reflexive and volitional saccades: evidence from studies of humans.

Authors:  Jennifer E McDowell; Kara A Dyckman; Benjamin P Austin; Brett A Clementz
Journal:  Brain Cogn       Date:  2008-10-05       Impact factor: 2.310

9.  Functional segmentation of the brain cortex using high model order group PICA.

Authors:  Vesa Kiviniemi; Tuomo Starck; Jukka Remes; Xiangyu Long; Juha Nikkinen; Marianne Haapea; Juha Veijola; Irma Moilanen; Matti Isohanni; Yu-Feng Zang; Osmo Tervonen
Journal:  Hum Brain Mapp       Date:  2009-12       Impact factor: 5.038

10.  The intrinsic functional organization of the brain is altered in autism.

Authors:  Daniel P Kennedy; Eric Courchesne
Journal:  Neuroimage       Date:  2007-11-12       Impact factor: 6.556

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  1 in total

1.  Alterations in intrinsic fronto-thalamo-parietal connectivity are associated with cognitive control deficits in psychotic disorders.

Authors:  Rebekka Lencer; Li Yao; James L Reilly; Sarah K Keedy; Jennifer E McDowell; Matcheri S Keshavan; Godfrey D Pearlson; Carol A Tamminga; Elliot S Gershon; Brett A Clementz; Su Lui; John A Sweeney
Journal:  Hum Brain Mapp       Date:  2018-09-10       Impact factor: 5.038

  1 in total

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