most citedLong-term follow-up of DYT1 dystonia patients treated by deep brain stimulation: an open-label study

155 citations · 268 across the 10 of their papers we have counts for

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6 papers · 1 filter

q-bio.NC2026

Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment

Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14

Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…

q-bio.NC2025★ 1 cited

Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex

Xavier Vasques, Laura Cif

The accurate classification of neuronal cell types is central to decoding brain function, yet remains hindered by data scarcity and cellular heterogeneity. Here, we benchmarked cla…

q-bio.NC2025★ 3 cited

Freezing of Gait as a Complication of Pallidal Deep Brain Stimulation in DYT- KMT2B Patients with Evidence of Striatonigral Degeneration

Laura Cif, Diane Demailly, Xavier Vasques +4

Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep brain stimulation (DBS) of the internal globus pallidus (GPi-DBS) being an effectiv…

q-bio.NC2025★ 155 cited

Long-term follow-up of DYT1 dystonia patients treated by deep brain stimulation: an open-label study

Laura Cif, Xavier Vasques, Victoria Gonzalez +7

Long-term efficacy of internal globus pallidus (GPi) deep-brain stimulation (DBS) in DYT1 dystonia and disease progression under DBS was studied. Twenty-six patients of this open-l…

q-bio.NC2025★ 9 cited

Automatic target validation based on neuroscientific literature mining for tractography

Xavier Vasques, Renaud Richardet, Sean L Hill +6

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied.…

q-bio.NC2025★ 53 cited

Morphological Neuron Classification Using Machine Learning

Xavier Vasques, Laurent Vanel, Guillaume Villette +1

Classification and quantitative characterization of neuronal morphologies from histological neuronal reconstruction is challenging since it is still unclear how to delineate a neur…