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Nature Communications (2)
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Showing 1–5 of 5 results

Advanced filters: Author: Karim Mithani Clear advanced filters

A deep representation learning model to predict response to vagus nerve stimulation

Response to vagus nerve stimulation cannot currently be predicted, leaving many children to undergo implantation without benefit. We present a deep representation learning model using preoperative T1-weighted MRI to predict treatment response.

Hrishikesh Suresh
Karim Mithani
George M. Ibrahim
ResearchOpen Access07 Apr 2026
Nature Communications

P: 1-14
Closed-loop stimulation modulates attention shifting in children

Intracranial recordings in children revealed neural signals predicting attentional lapses. Closed-loop stimulation rescued performance and scalp EEG enabled noninvasive modulation, identifying a reproducible marker of attentional control.

Nebras M. Warsi
Simeon M. Wong
George M. Ibrahim
Research13 May 2026
Nature Neuroscience

P: 1-10
Status dystonicus is a distinct state characterized by pallidal beta-band activity

This study identifies status dystonicus as a distinct brain state characterized by excessive beta-band activity with implications for the diagnosis and treatment of this poorly known neurological emergency

Arjun Balachandar
Lindsey M. Vogt
George M. Ibrahim
ResearchOpen Access22 Oct 2025
Nature Communications

Volume: 16, P: 1-15
Identification of neural networks preferentially engaged by epileptogenic mass lesions through lesion network mapping analysis

Alireza M. Mansouri
Jürgen Germann
Taufik A. Valiante
ResearchOpen Access03 Jul 2020
Scientific Reports

Volume: 10, P: 1-11
Lesion Network Localization of Seizure Freedom following MR-guided Laser Interstitial Thermal Ablation

Karim Mithani
Alexandre Boutet
George M. Ibrahim
ResearchOpen Access09 Dec 2019
Scientific Reports

Volume: 9, P: 1-11