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Brain Tumor Surgery Risk Predicted by Neural Energy Landscapes

Brain Tumor Surgery Risk Predicted by Neural Energy Landscapes

Researchers can now predict how brain tumor surgery will affect working memory by analyzing the brain's pre-surgery energy landscapes, achieving 90% accuracy. This breakthrough could help surgeons plan safer operations.

The Research

Led by Triet M. Tran and Sina Khanmohammadi, the study published on arXiv (July 2025, updated May 2026) examined fMRI scans of brain tumor patients before surgery. They extracted high-order energy landscapes—maps of how brain regions synchronize—and linked those patterns to post-surgery working memory, measured by the Spatial Span test. Patients with low postoperative scores (2-5) showed fewer but more extreme energy shifts, while high-scorers (6-9) had frequent, mild shifts. A random forest model predicted outcomes with 90% accuracy, an F1 score of 87.5%, and an AUC of 0.95.

Why It Matters

Working memory is crucial for daily tasks—remembering instructions, following conversations, or solving problems. Traditionally, surgeons weigh tumor removal against cognitive risks, but predictions are imprecise. This study offers a concrete biomarker from standard fMRI, enabling personalized risk assessment. For the 1 in 5 people who will face a brain tumor diagnosis, this could mean preserving more cognitive function.

What You Can Do

While most of us don't have brain tumors, understanding your cognitive baseline is valuable. You can monitor your working memory with brain training exercises and tests. Assess your own cognitive strengths at iqgenio.com.

Source: arXiv q-bio.NC

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