Investigating Changes in Resting-State Connectivity from Functional MRI Data in Patients with HIV Associated Neurocognitive Disorder Using MCA and Machine Learning.

DSouza, Adora M; Abidin, Anas Z; Wismüller, Axel

DSouza, Adora M; Abidin, Anas Z; Wismüller, Axel.

Afiliación

DSouza AM; Department of Electrical Engineering, University of Rochester, NY, USA.
Abidin AZ; Department of Biomedical Engineering, University of Rochester, NY, USA.
Wismüller A; Department of Electrical Engineering, University of Rochester, NY, USA.

Proc SPIE Int Soc Opt Eng ; 101372017 Mar 13.

Article en En | MEDLINE | ID: mdl-29170578

Palabras clave

HIV; Resting-state fMRI; functional connectivity; mutual connectivity analysis; neurological disorders; vector quantization

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

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