Anusha Allawala

Brown University

Papers

1

Total Citations

10

H-Index

1

About

Anusha Allawala is a rising leader in computational psychiatry and neuromodulation, whose work bridges the gap between invasive brain stimulation and circuit-level understanding of psychiatric illness. Her research centers on the use of stereo-electroencephalography (SEEG) to map and modulate dysfunctional neural networks in treatment-resistant depression (TRD) and other refractory psychiatric disorders. In her highly cited 2023 paper, "Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations," Allawala and colleagues outlined a rigorous framework for using SEEG to identify and target pathological circuits with deep brain stimulation (DBS), offering a paradigm shift from symptom-based to circuit-based surgical planning. This work, which has already garnered 10 citations, provides critical surgical and electrophysiological considerations for translating network-guided DBS into clinical practice. By integrating intracranial recordings with targeted stimulation, Allawala is helping to define the next generation of personalized, data-driven interventions for mental illness—a contribution that positions her at the forefront of precision neuromodulation and its application to some of the most challenging conditions in medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Brown University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago