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Related Experiment Video

Updated: Aug 31, 2025

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Voxelwise structural disconnection mapping: Methodological validation and recommendations.

Max Wawrzyniak¹, Anika Stockert¹, Julian Klingbeil¹

¹Neuroimaging Laboratory, Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany.

Neuroimage. Clinical

|August 25, 2022

Summary

This summary is machine-generated.

Voxelwise disconnection mapping accurately identifies brain lesion-symptom links, outperforming older methods. Methodological choices significantly impact results, necessitating careful application in neuroimaging research.

Keywords:

BCBtoolkit Corticospinal tract Disconnection Dti Hemiparesis Stroke Structural connectivity

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Related Experiment Videos

Last Updated: Aug 31, 2025

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

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

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Published on: September 25, 2019

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

Neuroimaging
Neurology
Computational Neuroscience

Background:

Voxelwise disconnection mapping (VDM) is emerging for lesion-symptom mapping.
Its validity, especially compared to voxel-based lesion-symptom mapping (VLSM), requires rigorous investigation.
Current VDM implementations need technical and clinical validation.

Purpose of the Study:

To validate a novel VDM implementation and the BCBtoolkit's version.
To compare VDM's performance against VLSM for white matter disconnection symptoms.
To provide methodological recommendations for VDM application.

Main Methods:

Technical validation used simulated symptoms from 70 stroke lesions and a white matter atlas.
Clinical validation involved 316 stroke patients, assessing paresis and lesion data.
Both VDM implementations were tested using MRI-based fiber tracking seeded from lesions.

Main Results:

VDM demonstrated technical validity and outperformed VLSM for disconnection-related symptoms.
Clinical validation confirmed VDM's utility by replicating the corticospinal tract-hemiparesis association.
Minor methodological variations were found to significantly reduce VDM validity.

Conclusions:

VDM is a valid and powerful tool for lesion-symptom mapping, particularly for white matter disconnections.
Careful consideration of methodology is crucial for reliable VDM results.
This study provides essential validation and recommendations for VDM in neuroimaging.