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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
Published on: August 12, 2019
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Verbal memory network mapping in individual patients predicts postoperative functional impairments
Feng Wang1, Jianxun Ren2, Weigang Cui2
1Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Human Brain Mapping
|May 4, 2024
Summary
A new personalized functional mapping technique using resting-state fMRI accurately predicts verbal memory decline after epilepsy surgery. This precision approach accounts for individual brain network variability, improving surgical guidance beyond group-level atlases.
Area of Science:
- Neuroscience
- Neurosurgery
- Cognitive Neurology
Background:
- Temporal lobe surgery for epilepsy can lead to verbal memory decline.
- Individual brain network variability complicates surgical planning using standard atlases.
- Precise presurgical mapping is crucial for optimizing functional outcomes.
Purpose of the Study:
- To develop and validate a personalized functional mapping technique for verbal memory using resting-state fMRI (rs-fMRI).
- To assess the accuracy of personalized verbal memory networks (PVMN) in predicting postoperative verbal memory deficits.
- To compare the efficacy of personalized mapping versus group-level atlases.
Main Methods:
- Enrolled 28 patients with refractory epilepsy undergoing surgery.
- Acquired preoperative 30-min rs-fMRI, verbal memory, and language assessments.
- Delineated PVMN based on individual rs-fMRI data.
- Assessed PVMN accuracy by correlating with postoperative functional impairments and lesion overlap.
Main Results:
- 100% accuracy in predicting verbal memory decline using PVMN, compared to 75.0% for group-level atlases.
- A significant correlation between the lesioned ratio of PVMN and verbal memory decline (r = -0.39, p = .038).
- Six patients with extra-temporal lesions overlapping PVMN showed selective verbal memory impairments.
Conclusions:
- Personalized functional mapping using rs-fMRI provides valuable insights into individual verbal memory networks.
- This technique offers a promising approach for precision verbal memory network mapping in epilepsy surgery.
- Personalized mapping improves prediction of postoperative verbal memory deficits compared to standard methods.
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