The value of brain MRI functional connectivity data in a machine learning classifier for distinguishing migraine from persistent post-traumatic headache.

Dumkrieger, Gina; Chong, Catherine D; Ross, Katherine; Berisha, Visar; Schwedt, Todd J

Dumkrieger, Gina; Chong, Catherine D; Ross, Katherine; Berisha, Visar; Schwedt, Todd J.

Afiliação

Dumkrieger G; Department of Neurology, Mayo Clinic Arizona, Phoenix, AZ, United States.
Chong CD; Department of Neurology, Mayo Clinic Arizona, Phoenix, AZ, United States.
Ross K; Phoenix VA health care system, Veterans Health Administration, Phoenix, AZ, United States.
Berisha V; Department of Speech and Hearing Science and School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, AZ, United States.
Schwedt TJ; Department of Neurology, Mayo Clinic Arizona, Phoenix, AZ, United States.

Front Pain Res (Lausanne) ; 3: 1012831, 2022.

Article em En | MEDLINE | ID: mdl-36700144

Palavras-chave

classification; fMRI; machine learning; migraine; post-traumatic headache (PTH)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Pain Res (Lausanne) Ano de publicação: 2022 Tipo de documento: Article

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