Altered structural connectivity of cortico-striato-pallido-thalamic networks in Gilles de la Tourette syndrome.

Y. Worbe, L. Marrakchi-Kacem, S. Lecomte, R. Valabregue, F. Poupon, P. Guevara, A. Tucholka, J.-F. Mangin, M. Vidailhet, S. Lehericy, A. Hartmann and C. Poupon. Altered structural connectivity of cortico-striato-pallido-thalamic networks in Gilles de la Tourette syndrome. Brain, 138(Pt 2), p472-482, 2015.
DOI: https://dx.doi.org/10.1093/brain/awu311

By Pamela Guevara| 2019-03-20T04:18:10-03:00 February 28th, 2015|Accepted Journals, Publication|0 Comments

About the Author: Pamela Guevara

Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets
Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets
Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering
Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering
Machine learning to investigate superficial white matter integrity in early multiple sclerosis
Machine learning to investigate superficial white matter integrity in early multiple sclerosis
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

M	T	W	T	F	S	S
1	2	3	4	5	6	7
8	9	10	11	12	13	14
15	16	17	18	19	20	21
22	23	24	25	26	27	28
29	30	31

Altered structural connectivity of cortico-striato-pallido-thalamic networks in Gilles de la Tourette syndrome.

Altered structural connectivity of cortico-striato-pallido-thalamic networks in Gilles de la Tourette syndrome.

Share This Story, Choose Your Platform!

About the Author: Pamela Guevara

Related Posts

Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets

Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering

Machine learning to investigate superficial white matter integrity in early multiple sclerosis

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Leave A Comment Cancel reply