Literature DB >> 29648581

Multiple sclerosis lesions affect intrinsic functional connectivity of the spinal cord.

Benjamin N Conrad1, Robert L Barry2,3, Baxter P Rogers4,5, Satoshi Maki5, Arabinda Mishra5, Saakshi Thukral5, Subramaniam Sriram6, Aashim Bhatia4, Siddharama Pawate6, John C Gore4,5, Seth A Smith4,5.   

Abstract

Patients with multiple sclerosis present with focal lesions throughout the spinal cord. There is a clinical need for non-invasive measurements of spinal cord activity and functional organization in multiple sclerosis, given the cord's critical role in the disease. Recent reports of spontaneous blood oxygenation level-dependent fluctuations in the spinal cord using functional MRI suggest that, like the brain, cord activity at rest is organized into distinct, synchronized functional networks among grey matter regions, likely related to motor and sensory systems. Previous studies looking at stimulus-evoked activity in the spinal cord of patients with multiple sclerosis have demonstrated increased levels of activation as well as a more bilateral distribution of activity compared to controls. Functional connectivity studies of brain networks in multiple sclerosis have revealed widespread alterations, which may take on a dynamic trajectory over the course of the disease, with compensatory increases in connectivity followed by decreases associated with structural damage. We build upon this literature by examining functional connectivity in the spinal cord of patients with multiple sclerosis. Using ultra-high field 7 T imaging along with processing strategies for robust spinal cord functional MRI and lesion identification, the present study assessed functional connectivity within cervical cord grey matter of patients with relapsing-remitting multiple sclerosis (n = 22) compared to a large sample of healthy controls (n = 56). Patient anatomical images were rated for lesions by three independent raters, with consensus ratings revealing 19 of 22 patients presented with lesions somewhere in the imaged volume. Linear mixed models were used to assess effects of lesion location on functional connectivity. Analysis in control subjects demonstrated a robust pattern of connectivity among ventral grey matter regions as well as a distinct network among dorsal regions. A gender effect was also observed in controls whereby females demonstrated higher ventral network connectivity. Wilcoxon rank-sum tests detected no differences in average connectivity or power of low frequency fluctuations in patients compared to controls. The presence of lesions was, however, associated with local alterations in connectivity with differential effects depending on columnar location. The patient results suggest that spinal cord functional networks are generally intact in relapsing-remitting multiple sclerosis but that lesions are associated with focal abnormalities in intrinsic connectivity. These findings are discussed in light of the current literature on spinal cord functional MRI and the potential neurological underpinnings.

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Year:  2018        PMID: 29648581      PMCID: PMC5972586          DOI: 10.1093/brain/awy083

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  66 in total

1.  Spinal cord neuronal pathology in multiple sclerosis.

Authors:  Christopher P Gilmore; Gabriele C DeLuca; Lars Bö; Trudy Owens; James Lowe; Margaret M Esiri; Nikos Evangelou
Journal:  Brain Pathol       Date:  2008-12-19       Impact factor: 6.508

2.  Injury alters intrinsic functional connectivity within the primate spinal cord.

Authors:  Li Min Chen; Arabinda Mishra; Pai-Feng Yang; Feng Wang; John C Gore
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-22       Impact factor: 11.205

3.  Denoising spinal cord fMRI data: Approaches to acquisition and analysis.

Authors:  Falk Eippert; Yazhuo Kong; Mark Jenkinson; Irene Tracey; Jonathan C W Brooks
Journal:  Neuroimage       Date:  2016-09-28       Impact factor: 6.556

4.  Organization of the intrinsic functional network in the cervical spinal cord: A resting state functional MRI study.

Authors:  Xiaojia Liu; Fuqing Zhou; Xiang Li; Wenshu Qian; Jiaolong Cui; Iris Y Zhou; Keith D K Luk; Ed X Wu; Yong Hu
Journal:  Neuroscience       Date:  2016-08-31       Impact factor: 3.590

Review 5.  The current state-of-the-art of spinal cord imaging: applications.

Authors:  C A Wheeler-Kingshott; P W Stroman; J M Schwab; M Bacon; R Bosma; J Brooks; D W Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; A J Thompson; I Tracey
Journal:  Neuroimage       Date:  2013-07-14       Impact factor: 6.556

6.  Cervical cord FMRI abnormalities differ between the progressive forms of multiple sclerosis.

Authors:  Paola Valsasina; Maria A Rocca; Martina Absinta; Federica Agosta; Domenico Caputo; Giancarlo Comi; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2011-08-25       Impact factor: 5.038

7.  Intrinsic Resting-State Functional Connectivity in the Human Spinal Cord at 3.0 T.

Authors:  Oscar San Emeterio Nateras; Fang Yu; Eric R Muir; Carlos Bazan; Crystal G Franklin; Wei Li; Jinqi Li; Jack L Lancaster; Timothy Q Duong
Journal:  Radiology       Date:  2015-10-27       Impact factor: 11.105

8.  Lesion detection at seven Tesla in multiple sclerosis using magnetisation prepared 3D-FLAIR and 3D-DIR.

Authors:  Wolter L de Graaf; Jaco J M Zwanenburg; Fredy Visser; Mike P Wattjes; Petra J W Pouwels; Jeroen J G Geurts; Chris H Polman; Frederik Barkhof; Peter R Luijten; Jonas A Castelijns
Journal:  Eur Radiol       Date:  2011-08-27       Impact factor: 5.315

9.  Weak correlations between hemodynamic signals and ongoing neural activity during the resting state.

Authors:  Aaron T Winder; Christina Echagarruga; Qingguang Zhang; Patrick J Drew
Journal:  Nat Neurosci       Date:  2017-11-06       Impact factor: 24.884

10.  Altered inter-subregion connectivity of the default mode network in relapsing remitting multiple sclerosis: a functional and structural connectivity study.

Authors:  Fuqing Zhou; Ying Zhuang; Honghan Gong; Bo Wang; Xing Wang; Qi Chen; Lin Wu; Hui Wan
Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

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  13 in total

1.  Measurement of T2* in the human spinal cord at 3T.

Authors:  Robert L Barry; Seth A Smith
Journal:  Magn Reson Med       Date:  2019-03-28       Impact factor: 4.668

2.  Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

Authors:  Rebecca J Crawford; Maryse Fortin; Kenneth A Weber; Andrew Smith; James M Elliott
Journal:  J Orthop Sports Phys Ther       Date:  2019-03-26       Impact factor: 4.751

3.  Longitudinal assessment of recovery after spinal cord injury with behavioral measures and diffusion, quantitative magnetization transfer and functional magnetic resonance imaging.

Authors:  Tung-Lin Wu; Nellie E Byun; Feng Wang; Arabinda Mishra; Vaibhav A Janve; Li Min Chen; John C Gore
Journal:  NMR Biomed       Date:  2020-01-13       Impact factor: 4.044

4.  Multi-shot acquisitions for stimulus-evoked spinal cord BOLD fMRI.

Authors:  Robert L Barry; Benjamin N Conrad; Satoshi Maki; Jennifer M Watchmaker; Lydia J McKeithan; Bailey A Box; Quinn R Weinberg; Seth A Smith; John C Gore
Journal:  Magn Reson Med       Date:  2020-11-10       Impact factor: 4.668

5.  Assessing the spatial distribution of cervical spinal cord activity during tactile stimulation of the upper extremity in humans with functional magnetic resonance imaging.

Authors:  Kenneth A Weber; Yufen Chen; Monica Paliwal; Christine S Law; Benjamin S Hopkins; Sean Mackey; Yasin Dhaher; Todd B Parrish; Zachary A Smith
Journal:  Neuroimage       Date:  2020-05-06       Impact factor: 6.556

6.  A practical protocol for measurements of spinal cord functional connectivity.

Authors:  Robert L Barry; Benjamin N Conrad; Seth A Smith; John C Gore
Journal:  Sci Rep       Date:  2018-11-08       Impact factor: 4.379

7.  Intrinsic functional architecture of the non-human primate spinal cord derived from fMRI and electrophysiology.

Authors:  Tung-Lin Wu; Pai-Feng Yang; Feng Wang; Zhaoyue Shi; Arabinda Mishra; Ruiqi Wu; Li Min Chen; John C Gore
Journal:  Nat Commun       Date:  2019-03-29       Impact factor: 14.919

8.  Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury.

Authors:  Andrew C Smith; Denise R O'Dell; Stephanie R Albin; Jeffrey C Berliner; David Dungan; Eli Robinson; James M Elliott; Julio Carballido-Gamio; Jennifer Stevens-Lapsley; Kenneth A Weber
Journal:  Arch Phys Med Rehabil       Date:  2021-08-08       Impact factor: 3.966

Review 9.  Ten Key Insights into the Use of Spinal Cord fMRI.

Authors:  Jocelyn M Powers; Gabriela Ioachim; Patrick W Stroman
Journal:  Brain Sci       Date:  2018-09-10

10.  Heat shock proteins are differentially expressed in brain and spinal cord: implications for multiple sclerosis.

Authors:  R P Gorter; E Nutma; M-C Jahrei; J C de Jonge; R A Quinlan; P van der Valk; J M van Noort; W Baron; S Amor
Journal:  Clin Exp Immunol       Date:  2018-09-19       Impact factor: 4.330

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