Predicting future brain tissue loss from white matter connectivity disruption in ischemic stroke.

Area of Science:

• Neuroscience
• Medical Imaging
• Computational Biology

Background:

• Stroke causes focal brain lesions leading to structural connectivity loss.
• The Network Modification (NeMo) Tool quantifies connectivity loss using brain maps from healthy subjects.

Purpose of the Study:

• To test if the NeMo Tool can predict remote brain tissue loss after stroke.
• To assess the relationship between stroke-induced connectivity loss and subsequent atrophy.

Main Methods:

• 26 stroke patients' MRIs were analyzed (baseline and follow-up).
• Lesion masks were overlaid on NeMo connectivity maps to calculate Change in Connectivity (ChaCo) scores.
• ChaCo scores were correlated with measures of tissue loss (atrophy).

Main Results:

• ChaCo scores varied, reflecting lesion size and location, with higher scores near lesions.
• Significant correlations were found between baseline ChaCo scores and subsequent tissue loss (r=0.43 to 0.61).
• Affected regions included those involved in sensorimotor, perception, learning, and memory functions.

Conclusions:

• The NeMo Tool, via ChaCo scores, can identify brain regions susceptible to remote degeneration after stroke.
• This approach aids in understanding and predicting post-stroke tissue loss and its functional implications.