Computational protocol: Altered Functional and Structural Connectivity Networks in Psychogenic Non-Epileptic Seizures

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Protocol publication

[…] Using the automated anatomical labeling (AAL) algorithm , we parcellated the whole brain into 90 cortical and subcortical regions of interest (45 for each hemisphere, see ). [...] For diffusion tensor images, eddy current distortions and head motions were corrected using FMRIB’s Diffusion Toolbox (FSL 4.1; http://www.fmrib.ox.ac.uk/fsl). Then, the diffusion tensor models was estimated by the linear least-squares fitting method at each voxel using the Diffusion Toolkit (TrackVis.org). For each subject, whole-brain fiber tracking was performed in native diffusion space via Fiber Assignment by Continuous Tracking (FACT) algorithm in TrackVis software. To construct a structural connectivity network in each subject, regions of interest were defined in native diffusion space . For edge , we defined its weight as: . and are 2D intersects of the individual’s white matter with region and ; denotes the fibres set connecting regions and ; denotes the length of the fiber . For each subject, connection weights were further scaled by the maximum of this structural connectivity network to normalize individual overall differences in connectivity strength . For more detailed construction of brain network, see . […]

Pipeline specifications

Software tools AAL, DTK, TrackVis
Applications Magnetic resonance imaging, Diffusion magnetic resonance imaging analysis
Organisms Homo sapiens
Diseases Epilepsy