4.7 Article

Forebrain knock-out of torsinA reduces striatal free-water and impairs whole-brain functional connectivity in a symptomatic mouse model of DYT1 dystonia

Journal

NEUROBIOLOGY OF DISEASE
Volume 106, Issue -, Pages 124-132

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.nbd.2017.06.015

Keywords

Diffusion MRI; DYT1 dystonia; Free-water; Functional connectivity; Functional MRI; Mouse model

Categories

Funding

  1. Tyler's Hope for a Dystonia Cure, Inc.
  2. National Institutes of Health [R01 NS075012, R01 NS058487, R01 NS077730, T32 NS082168]
  3. University of Florida McKnight Brain Institute pilot imaging grant
  4. National Science Foundation [DMR-1157490]
  5. State of Florida
  6. NIH award [S10RR025671]

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Multiple lines of evidence implicate striatal dysfunction in the pathogenesis of dystonia, including in DYT1, a common inherited form of the disease. The impact of striatal dysfunction on connected motor circuits and their interaction with other brain regions is poorly understood. Conditional knock-out (cKO) of the DYT1 protein torsinA from forebrain cholinergic and GABAergic neurons creates a symptomatic model that recapitulates many characteristics of DYT1 dystonia, including the developmental onset of overt twisting movements that are responsive to antimuscarinic drugs. We performed diffusion MRI and resting-state functional MRI on cKO mice of either sex to define abnormalities of diffusivity and functional connectivity in cortical, subcortical, and cerebellar networks. The striatum was the only region to exhibit an abnormality of diffusivity, indicating a selective microstructural deficit in cKO mice. The striatum of cKO mice exhibited widespread increases in functional connectivity with somatosensory cortex, thalamus, vermis, cerebellar cortex and nuclei, and brainstem. The current study provides the first in vivo support that direct pathological insult to forebrain torsinA in a symptomatic mouse model of DYT1 dystonia can engage genetically normal hindbrain regions into an aberrant connectivity network. These findings have important implications for the assignment of a causative region in CNS disease. (C) 2017 Elsevier Inc. All rights reserved.

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