Artificial neural networks applied to somatosensory evoked potentials for migraine classification

Artificial neural networks applied to somatosensory evoked potentials for migraine classification

Abstract Background Finding a biomarker to diagnose migraine remains a significant challenge in the headache field. Migraine patients exhibit dynamic and recurrent alterations in the brainstem-thalamo-cortical loop, including reduced thalamocortical activity and abnormal habituation during the inter...

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Main Authors: Gabriele Sebastianelli, Daniele Secci, Francesco Casillo, Chiara Abagnale, Cherubino Di Lorenzo, Mariano Serrao, Shuu-Jiun Wang, Fu-Jung Hsiao, Gianluca Coppola
Format: Article
Language:English
Published: BMC 2025-04-01
Series:The Journal of Headache and Pain
Subjects:
Artificial intelligence
Neurophysiology
Evoked potentials
Habituation
Sensitization
Thalamus
Online Access:https://doi.org/10.1186/s10194-025-01989-2
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https://doi.org/10.1186/s10194-025-01989-2

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