Diffusion tensor imaging reveals altered structural connectivity of the mesial frontal lobe in juvenile myoclonic epilepsy

2012 ◽  
Vol 43 (01) ◽  
Author(s):  
C Vollmar ◽  
J O'Muircheartaigh ◽  
M Koepp ◽  
M Richardson ◽  
J Duncan
Keyword(s):  
Diffusion Tensor Imaging ◽  
Frontal Lobe ◽  
Diffusion Tensor ◽  
Structural Connectivity ◽  
Juvenile Myoclonic Epilepsy ◽  
Myoclonic Epilepsy

Identifying juvenile myoclonic epilepsy via diffusion tensor imaging using machine learning analysis

2021 ◽  
Vol 91 ◽  
pp. 327-333
Author(s):  
Dong Ah Lee ◽  
Junghae Ko ◽  
Hyung Chan Kim ◽  
Kyong Jin Shin ◽  
Bong Soo Park ◽  
...  
Keyword(s):  
Machine Learning ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Juvenile Myoclonic Epilepsy ◽  
Myoclonic Epilepsy ◽  
Learning Analysis

Diffusion tensor imaging abnormalities in photosensitive juvenile myoclonic epilepsy

2015 ◽  
Vol 22 (8) ◽  
pp. 1192-1200 ◽  
Author(s):  
F. von Podewils ◽  
U. Runge ◽  
S. Krüger ◽  
J. Geithner ◽  
Z. I. Wang ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Juvenile Myoclonic Epilepsy ◽  
Myoclonic Epilepsy

scholarly journals Detection of Juvenile Myoclonic Epilepsy Based on Deep Transferred CNN and Structural Connectivity Maps

2021 ◽  
Vol 168 ◽  
pp. S191
Author(s):  
Xiaopeng Si ◽  
Xingjian Zhang ◽  
Yu Zhou ◽  
Yulin Sun ◽  
Shaoya Yin ◽  
...  
Keyword(s):  
Structural Connectivity ◽  
Juvenile Myoclonic Epilepsy ◽  
Myoclonic Epilepsy

scholarly journals Integrative Structural Brain Network Analysis In Diffusion Tensor Imaging

2017 ◽  
Author(s):  
Moo K. Chung ◽  
Jamie L. Hanson ◽  
Nagesh Adluru ◽  
Andrew L. Alexander ◽  
Richard J. Davidson ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Structural Connectivity ◽  
Brain Regions ◽  
Brain Network ◽  
Node Degree ◽  
Fiber Tracts ◽  
White Matter Fiber Tracts ◽  
Structural Brain Network ◽  
Structural Networks

AbstractIn diffusion tensor imaging, structural connectivity between brain regions is often measured by the number of white matter fiber tracts connecting them. Other features such as the length of tracts or fractional anisotropy (FA) are also used in measuring the strength of connectivity. In this study, we investigated the effects of incorporating the number of tracts, the tract length and FA-values into the connectivity model. Using various node-degree based graph theory features, the three connectivity models are compared. The methods are applied in characterizing structural networks between normal controls and maltreated children, who experienced maltreatment while living in post-institutional settings before being adopted by families in the US.

Frontal lobe function and structure in juvenile myoclonic epilepsy: A comprehensive review of neuropsychological and imaging data

Epilepsia ◽  
2012 ◽  
Vol 53 (12) ◽  
pp. 2091-2098 ◽  
Author(s):  
Britta Wandschneider ◽  
Pamela J. Thompson ◽  
Christian Vollmar ◽  
Matthias J. Koepp
Keyword(s):  
Frontal Lobe ◽  
Juvenile Myoclonic Epilepsy ◽  
Myoclonic Epilepsy ◽  
Imaging Data ◽  
Comprehensive Review ◽  
Frontal Lobe Function

scholarly journals Real‐time strategy video game experience and structural connectivity – A diffusion tensor imaging study

2018 ◽  
Vol 39 (9) ◽  
pp. 3742-3758 ◽  
Author(s):  
Natalia Kowalczyk ◽  
Feng Shi ◽  
Mikolaj Magnuski ◽  
Maciek Skorko ◽  
Pawel Dobrowolski ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Real Time ◽  
Video Game ◽  
Diffusion Tensor ◽  
Structural Connectivity ◽  
Imaging Study ◽  
Diffusion Tensor Imaging Study

scholarly journals Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jennifer L. Robinson ◽  
Madhura Baxi ◽  
Jeffrey S. Katz ◽  
Paul Waggoner ◽  
Ronald Beyers ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Default Mode Network ◽  
Diffusion Tensor ◽  
Structural Connectivity ◽  
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