Tremor Severity and Operative Parameters Predict Imbalance in Patients Undergoing Focused Ultrasound Thalamotomy

A machine learning model based on preoperative tremor scores and maximum energy/power delivered predicted the development of short-term imbalance and long-term imbalance following FUS thalamotomy.

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Publication Details

Journal
Movement Disorders Clinical Practice
Published
2024-10-25
DOI
https://doi.org/10.1002/mdc3.14237
Citations
3
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
1.11
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article

Tremor Severity and Operative Parameters Predict Imbalance in Patients Undergoing Focused Ultrasound Thalamotomy

G. Rees Cosgrove, Melissa Chua, John D. Rolston, Aryan Wadhwa et al.
3 citations
Movement Disorders Clinical Practice
Neurological disorders and treatments
1.11
article

Tremor Severity and Operative Parameters Predict Imbalance in Patients Undergoing Focused Ultrasound Thalamotomy

G. Rees Cosgrove, Melissa Chua, John D. Rolston, Aryan Wadhwa, Rohan Jha
article en
3 citations

Abstract

A machine learning model based on preoperative tremor scores and maximum energy/power delivered predicted the development of short-term imbalance and long-term imbalance following FUS thalamotomy.

Movement Disorders Clinical PracticeVol. 11(12)
Boston University (US), Brigham and Women's Hospital (US), Harvard University (US)
Affordable and clean energy
Openalex Percentile: Top 20%
Neurological disorders and treatments
1.11
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