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Updated: Nov 10, 2025

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Simulating lesion-dependent functional recovery mechanisms.

Noor Sajid¹, Emma Holmes², Thomas M Hope²

¹Wellcome Centre for Human Neuroimaging, University College London, UCL Queen Square Institute of Neurology, 12 Queen Square, London, WC1N 3AR, UK. noor.sajid.18@ucl.ac.uk.

Scientific Reports

|April 3, 2021

Summary

This summary is machine-generated.

Brain damage recovery depends on lesion extent. Models show complete system disengagement aids recovery, while partial damage or reduced plasticity significantly impairs function, informing lesion interpretation.

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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

Area of Science:

Neuroscience
Computational modeling
Cognitive recovery

Background:

Functional recovery after brain damage is variable, influenced by lesion site and extent.
Recovery mechanisms include engaging residual components or utilizing alternative neural structures (degeneracy).
System responses to damage can be rapid, learning-dependent, or both.

Purpose of the Study:

To simulate functional recovery from different lesion types using a generative model.
To investigate the impact of lesion characteristics on recovery dynamics.
To contribute to formal frameworks for interpreting lesion effects.

Main Methods:

Utilized a generative model of word repetition with a default and an alternative system.
Simulated four lesion types: complete premorbid system disengagement, partial damage to both systems, and limited plasticity in both.
Conducted 1000 simulation trials for each lesion type.

Main Results:

Complete disconnection of the default system naturally engaged the alternative system.
Incomplete damage to both systems resulted in more severe long-term performance deficits.
Reduced learning capacity within systems significantly impacted recovery outcomes.

Conclusions:

The model demonstrates how different lesion types affect functional recovery.
Complete system failure can lead to compensatory engagement of alternative systems.
Partial damage and impaired plasticity pose greater challenges for functional recovery, highlighting the importance of system integrity and learning capacity.