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Increased functional connectivity common to symptomatic amyotrophic lateral sclerosis and those at genetic risk
Umeå University, Faculty of Medicine, Department of Pharmacology and Clinical Neuroscience, Clinical Neuroscience.
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2016 (English)In: Journal of Neurology, Neurosurgery and Psychiatry, ISSN 0022-3050, E-ISSN 1468-330X, Vol. 87, no 6, 580-588 p.Article in journal (Refereed) Published
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Abstract [en]

Objective To discern presymptomatic changes in brain structure or function using advanced MRI in carriers of mutations predisposing to amyotrophic lateral sclerosis (ALS).

Methods T1-weighted, diffusion weighted and resting state functional MRI data were acquired at 3 T for 12 asymptomatic mutation carriers (psALS), 12 age-matched controls and affected patients with ALS. Cortical thickness analysis, voxel-based morphometry, volumetric and shape analyses of subcortical structures, tract-based spatial statistics of metrics derived from the diffusion tensor, and resting state functional connectivity (FC) analyses were performed.

Results Grey matter cortical thickness and shape analysis revealed significant atrophy in patients with ALS (but not psALS) compared with controls in the right primary motor cortex and right caudate. Comparison of diffusion tensor metrics showed widespread fractional anisotropy and radial diffusivity differences in patients with ALS compared to controls and the psALS group, encompassing parts of the corpus callosum, corticospinal tracts and superior longitudinal fasciculus. While FC in the resting-state sensorimotor network was similar in psALS and controls, FC between the cerebellum and a network comprising the precuneus, cingulate & middle frontal lobe was significantly higher in psALS and affected ALS compared to controls.

Conclusions Rather than structural brain changes, increased FC may be among the earliest detectable brain abnormalities in asymptomatic carriers of ALS-causing gene mutations. With replication and significant refinement, this technique has potential in the future assessment of neuroprotective strategies.

Place, publisher, year, edition, pages
2016. Vol. 87, no 6, 580-588 p.
National Category
Neurology
Identifiers
URN: urn:nbn:se:umu:diva-122555DOI: 10.1136/jnnp-2015-311945ISI: 000376686100003PubMedID: 26733601OAI: oai:DiVA.org:umu-122555DiVA: diva2:949938
Available from: 2016-07-26 Created: 2016-06-20 Last updated: 2017-05-11Bibliographically approved

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