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Related Experiment Video

Updated: Feb 14, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Advanced lesion symptom mapping analyses and implementation as BCBtoolkit.

Chris Foulon^1,2,3, Leonardo Cerliani^1,2,3, Serge Kinkingnéhun¹

¹Brain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.

|February 13, 2018

Summary

This summary is machine-generated.

Brain lesions disrupt neuronal circuits, impacting cognitive functions like category fluency. New methods reveal these widespread effects, identifying affected brain networks and their relation to performance.

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Area of Science:

Neuroscience
Cognitive Science
Neurology

Background:

Brain lesions, even focal ones, cause local and remote effects on connected brain circuits.
Cognitive functions emerge from interactions between brain areas, not isolated activity.
Category fluency relies on integrating executive, semantic, and language production functions.

Purpose of the Study:

To present novel, complementary methods for quantifying lesion impact on neuronal circuits.
To analyze the effects of focal frontal brain lesions on brain connectivity and category fluency.

Main Methods:

Applied complementary solutions to 37 patients with focal frontal brain lesions.
Combined structural and functional connectivity with cortical thickness estimates.
Utilized the BCBtoolkit, freely accessible supplementary software.

Main Results:

Identified directly and indirectly disconnected brain regions significantly impacting category fluency.
Found disconnected regions align with known areas for verbal fluency and categorization.
Revealed larger functional networks, including the left ventral fronto-parietal network, affected by lesions.

Conclusions:

Connectivity analyses reveal remote effects of brain lesions.
Methods aid in identifying affected brain networks and their relation to cognitive performance.
Cortical thickness of the left ventral fronto-parietal network correlated with category fluency performance.