Neural network of primary focal dystonia by an anatomic likelihood estimation meta-analysis of gray matter abnormalities

Zheng, Zhenzhen; Pan, PingLei; Wang, Wei; Shang, Huifang

doi:10.1016/j.jns.2012.01.032

Cited by 30 publications

(26 citation statements)

References 51 publications

(71 reference statements)

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“…Structural abnormalities were then reported in the basal ganglia, the thalamus, the cerebellum, and the cortex, especially in the sensorimotor and premotor regions as recently reviewed (Fig. B) . Gray matter changes in the basal ganglia were observed in blepharospasm, cervical dystonia in isolation or mixed with upper limb dystonia, musician dystonia, and writer's cramp .…”

Section: Is Dystonia Caused By Defects In the Basal Ganglia Cerebellmentioning

confidence: 91%

“…1B). [28][29][30] Gray matter changes in the basal ganglia were observed in blepharospasm, 31,32 cervical dystonia in isolation [32][33][34] or mixed with upper limb dystonia, 35,36 musician dystonia, 37 and writer's cramp. 38 Gray matter was most often increased, but decreases were also reported.…”

Section: Is Dystonia Caused By Defects In the Basal Ganglia Cerebellmentioning

confidence: 99%

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The anatomical basis of dystonia: Current view using neuroimaging

et al. 2013

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This review will consider the knowledge that neuroimaging studies have provided to the understanding of the anatomy of dystonia. Major advances have occurred in the use of neuroimaging for dystonia in the past 2 decades. At present, the most developed imaging approaches include whole-brain or region-specific studies of structural or diffusion changes, functional imaging using fMRI or positron emission tomography (PET), and metabolic imaging using fluorodeoxyglucose PET. These techniques have provided evidence that regions other than the basal ganglia are involved in dystonia. In particular, there is increasing evidence that primary dystonia can be viewed as a circuit disorder, involving the basal ganglia-thalamo-cortical and cerebello-thalamo-cortical pathways. This suggests that a better understanding of the dysfunction in each region in the network and their interactions are important topics to address. Current views of interpretation of imaging data as cause or consequence of dystonia, and the postmortem correlates of imaging data are presented. The application of imaging as a tool to monitor therapy and its use as an outcome measure will be discussed. © 2013 Movement Disorder Society.

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Section: Is Dystonia Caused By Defects In the Basal Ganglia Cerebellmentioning

confidence: 91%

Section: Is Dystonia Caused By Defects In the Basal Ganglia Cerebellmentioning

confidence: 99%

The anatomical basis of dystonia: Current view using neuroimaging

et al. 2013

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“…Activation of the anterior cingulate cortex (ACC) is suggested with PET studies in hemidystonia and blepharospasm patients by increased GMV (Ceballos-Baumann et al, 1995a; Kerrison et al, 2003). A meta-analysis performed with the anatomic likelihood ratio estimation (ALE) method, comparing patients with primary focal dystonia and healthy controls, still showed an increased GMV in the caudate nucleus, the primary motor cortex (M1) and the post-central gyrus and a decreased GMV in the thalamus and the putamen in dystonic patients (Zheng et al, 2012). In patients with writer’s cramp, an increased glucose metabolic activity has been demonstrated in the childhood onset DYT1 dystonia in the thalamus, midbrain and cerebellum using 18 F-fluorodeoxyglucose PET (Eidelberg et al, 1998), and in the lateral frontal cortex, the paracentral cortex bilaterally and the contralateral lentiform nucleus, pons and midbrain in idiopathic torsion dystonia (Eidelberg et al, 1995).…”

Section: Dystonia: Definition and Anatomical Structures Impairmentmentioning

confidence: 99%

Contribution of TMS and rTMS in the Understanding of the Pathophysiology and in the Treatment of Dystonia

Lozeron

Poujois

Richard

et al. 2016

Front. Neural Circuits

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Dystonias represent a heterogeneous group of movement disorders responsible for sustained muscle contraction, abnormal postures, and muscle twists. It can affect focal or segmental body parts or be generalized. Primary dystonia is the most common form of dystonia but it can also be secondary to metabolic or structural dysfunction, the consequence of a drug’s side-effect or of genetic origin. The pathophysiology is still not elucidated. Based on lesion studies, dystonia has been regarded as a pure motor dysfunction of the basal ganglia loop. However, basal ganglia lesions do not consistently produce dystonia and lesions outside basal ganglia can lead to dystonia; mild sensory abnormalities have been reported in the dystonic limb and imaging studies have shown involvement of multiple other brain regions including the cerebellum and the cerebral motor, premotor and sensorimotor cortices. Transcranial magnetic stimulation (TMS) is a non-invasive technique of brain stimulation with a magnetic field applied over the cortex allowing investigation of cortical excitability. Hyperexcitability of contralateral motor cortex has been suggested to be the trigger of focal dystonia. High or low frequency repetitive TMS (rTMS) can induce excitatory or inhibitory lasting effects beyond the time of stimulation and protocols have been developed having either a positive or a negative effect on cortical excitability and associated with prevention of cell death, γ-aminobutyric acid (GABA) interneurons mediated inhibition and brain-derived neurotrophic factor modulation. rTMS studies as a therapeutic strategy of dystonia have been conducted to modulate the cerebral areas involved in the disease. Especially, when applied on the contralateral (pre)-motor cortex or supplementary motor area of brains of small cohorts of dystonic patients, rTMS has shown a beneficial transient clinical effect in association with restrained motor cortex excitability. TMS is currently a valuable tool to improve our understanding of the pathophysiology of dystonia but large controlled studies using sham stimulation are still necessary to delineate the place of rTMS in the therapeutic strategy of dystonia. In this review, we will focus successively on the use of TMS as a tool to better understand pathophysiology, and the use of rTMS as a therapeutic strategy.

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“…These striatal structures were chosen because of their importance in a variety of diseases including Parkinson’s disease 28 , Huntington’s disease 29 , obsessive-compulsive disorder 30 , Alzheimer’s disease 31, 32 , primary focal dystonia 33 , attention-deficit hyperactivity disorder 34 , depression 35 and schizophrenia 36 and because their segmentation is challenging due to the fact that MR image intensities alone cannot be used to successfully distinguish them from adjacent brain structures 21 .…”

Section: Introductionmentioning

confidence: 99%

Comparison of accuracy between FSL’s FIRST and Freesurfer for caudate nucleus and putamen segmentation

Perlaki¹,

Horváth

Nagy

et al. 2017

Sci Rep

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Although several methods have been developed to automatically delineate subcortical gray matter structures from MR images, the accuracy of these algorithms has not been comprehensively examined. Most of earlier studies focused primarily on the hippocampus. Here, we assessed the accuracy of two widely used non-commercial programs (FSL-FIRST and Freesurfer) for segmenting the caudate and putamen. T1-weighted 1 mm3 isotropic resolution MR images were acquired for thirty healthy subjects (15 females). Caudate nucleus and putamen were segmented manually by two independent observers and automatically by FIRST and Freesurfer (v4.5 and v5.3). Utilizing manual labels as reference standard the following measures were studied: Dice coefficient (D), percentage volume difference (PVD), absolute volume difference as well as intraclass correlation coefficient (ICC) for consistency and absolute agreement. For putamen segmentation, FIRST achieved higher D, lower PVD and higher ICC for absolute agreement with manual tracing than either version of Freesurfer. Freesurfer overestimated the putamen, while FIRST was not statistically different from manual tracing. The ICC for consistency with manual tracing was similar between the two methods. For caudate segmentation, FIRST and Freesurfer performed more similarly. In conclusion, Freesurfer and FIRST are not equivalent when comparing to manual tracing. FIRST was superior for putaminal segmentation.

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Neural network of primary focal dystonia by an anatomic likelihood estimation meta-analysis of gray matter abnormalities

Cited by 30 publications

References 51 publications

The anatomical basis of dystonia: Current view using neuroimaging

The anatomical basis of dystonia: Current view using neuroimaging

Contribution of TMS and rTMS in the Understanding of the Pathophysiology and in the Treatment of Dystonia

Comparison of accuracy between FSL’s FIRST and Freesurfer for caudate nucleus and putamen segmentation

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