Literature DB >> 25117651

Anatomic connectivity assessed using pathway radial diffusivity is related to functional connectivity in monosynaptic pathways.

Mark J Lowe1, Katherine A Koenig, Erik B Beall, Ken A Sakaie, Lael Stone, Robert Bermel, Michael D Phillips.   

Abstract

This work presents a pathway-dependent anatomic and functional connectivity analysis in 19 patients with relapse-remitting multiple sclerosis (MS) and 16 age-, education-, and gender-matched controls. An MS population is used in this study as a model for anatomic connectivity, permitting us to observe relationships between anatomic and functional connectivity more easily. A combined resting-state functional magnetic resonance imaging (fMRI) and whole-brain, high angular resolution diffusion imaging analysis is performed in three independent, monosynaptic pathways. The pathways chosen were transcallosal pathway connecting the bilateral primary sensorimotor regions, right and left posterior portion of the Papez circuit, connecting the posterior cingulate cortex and hippocampus. The Papez circuit is known to be involved in memory function, one of the most frequently impacted cognitive domains in patients with MS. We show that anatomic connectivity, as measured with diffusion-weighted imaging, and functional connectivity, as measured with resting-state fMRI, are significantly reduced in patients as compared with controls for at least some of the pathways considered. In addition when all pathway measures are combined, anatomic and functional connectivity are significantly correlated in patients with MS as well as healthy controls. We suggest that anatomic and functional connectivity are related for monosynaptic pathways and that radial diffusivity, as a diffusion-tensor-based measure of white matter integrity, is a robust measure of anatomic connectivity in the general population.

Entities:  

Keywords:  anatomic connectivity; functional connectivity; high angular resolution diffusion imaging; multiple sclerosis; posterior cingulate; radial diffusivity; resting state; sensorimotor cortex

Mesh:

Year:  2014        PMID: 25117651     DOI: 10.1089/brain.2014.0265

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


  8 in total

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2.  Quantitative quality assurance in a multicenter HARDI clinical trial at 3T.

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Review 3.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

4.  Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis.

Authors:  Katherine A Koenig; Erik B Beall; Ken E Sakaie; Daniel Ontaneda; Lael Stone; Stephen M Rao; Kunio Nakamura; Stephen E Jones; Mark J Lowe
Journal:  PLoS One       Date:  2021-06-08       Impact factor: 3.240

5.  High-resolution functional connectivity of the default mode network in young adults with down syndrome.

Authors:  Katherine A Koenig; Lynn M Bekris; Stephen Ruedrich; Grace E Weber; Maria Khrestian; Se-Hong Oh; Sanghoon Kim; Z Irene Wang; James B Leverenz
Journal:  Brain Imaging Behav       Date:  2020-10-18       Impact factor: 3.224

6.  Brain Injury and Mental Health Among the Victims of Intimate Partner Violence: A Case-Series Exploratory Study.

Authors:  Gunnur Karakurt; Kathleen Whiting; Stephen E Jones; Mark J Lowe; Stephen M Rao
Journal:  Front Psychol       Date:  2021-10-05

Review 7.  Modern Methods for Interrogating the Human Connectome.

Authors:  Mark J Lowe; Ken E Sakaie; Erik B Beall; Vince D Calhoun; David A Bridwell; Mikail Rubinov; Stephen M Rao
Journal:  J Int Neuropsychol Soc       Date:  2016-02       Impact factor: 2.892

Review 8.  Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions.

Authors:  Marlene Tahedl; Seth M Levine; Mark W Greenlee; Robert Weissert; Jens V Schwarzbach
Journal:  Front Neurol       Date:  2018-10-11       Impact factor: 4.003

  8 in total

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