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Journal ArticleDOI

Voxel based morphometry reveals specific gray matter changes in primary dystonia.

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TLDR
Patients with primary dystonia showed gray matter volume increase bilaterally in the globus pallidus internus, nucleus accumbens, prefrontal cortex, as well as unilaterally in the left inferior parietal lobe.
Abstract
The present study assessed patterns of brain tissue alterations in different types of primary dystonia using voxel-based morphometry (VBM). Nine patients with primary generalized dystonia (GD), 11 patients with primary cervical dystonia (CD), and 11 patients with primary focal hand dystonia (FHD) as well as 31 age and gender-matched controls were included. When compared with healthy controls, patients with primary dystonia (n=31) showed gray matter volume increase bilaterally in the globus pallidus internus, nucleus accumbens, prefrontal cortex, as well as unilaterally in the left inferior parietal lobe. This is the first study using VBM in patients with different types of primary dystonia, showing a common pattern of gray matter changes.

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Citations
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The pathophysiological basis of dystonias

TL;DR: Dystonia offers a window into the mechanisms whereby subtle changes in neuronal function, particularly in sensorimotor circuits that are associated with motor learning and memory, can corrupt normal coordination and lead to a disabling motor disorder.
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Training-induced structural changes in the adult human brain.

TL;DR: The major future challenge is to understand the behavioural consequences and cellular mechanisms underlying training-induced neuroanatomic plasticity in order to adapt treatment strategies for patients with brain injury or neurodegenerative disorders.
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The Functional Neuroanatomy of Dystonia

TL;DR: The network model provides many new and testable hypotheses with direct relevance for new treatment strategies that go beyond the basal ganglia, and is consistent with neurophysiological evidence suggesting defects in neural inhibitory processes, sensorimotor integration, and maladaptive plasticity.
Journal ArticleDOI

EFNS guidelines on diagnosis and treatment of primary dystonias

TL;DR: This document is intended to provide a revised version of earlier guidelines published in 2006, and is likely to be modified in the future to reflect the changing needs of the rapidly changing environment.
Journal ArticleDOI

White and gray matter abnormalities in idiopathic rapid eye movement sleep behavior disorder: a diffusion-tensor imaging and voxel-based morphometry study.

TL;DR: In this paper, diffusion tensor imaging (DTI) and statistical parametric mapping (SPM) were applied to objectively identify focal changes of MRI parameters throughout the entire brain volume.
References
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Journal ArticleDOI

Voxel-Based Morphometry—The Methods

TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
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A voxel-based morphometric study of ageing in 465 normal adult human brains.

TL;DR: Global grey matter volume decreased linearly with age, with a significantly steeper decline in males, and local areas of accelerated loss were observed bilaterally in the insula, superior parietal gyri, central sulci, and cingulate sulci.
Journal ArticleDOI

The Neural Basis of Addiction: A Pathology of Motivation and Choice

TL;DR: Cellular adaptations in prefrontal glutamatergic innervation of the accumbens promote the compulsive character of drug seeking in addicts by decreasing the value of natural rewards, diminishing cognitive control (choice), and enhancing glutamatorgic drive in response to drug-associated stimuli.
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Nonlinear spatial normalization using basis functions

TL;DR: A fast algorithm has been developed that utilizes Taylor's theorem and the separable nature of the basis functions, meaning that most of the nonlinear spatial variability between images can be automatically corrected within a few minutes.
Journal ArticleDOI

Why voxel-based morphometry should be used.

TL;DR: This article has been written in response to Dr. Fred L. Bookstein's article entitled '"Voxel-Based Morphometry" Should Not be used with Imperfectly Registered Images' in this issue of NeuroImage.
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