Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation

• Published in: Kompʹûternaâ optika Vol. 47; no. 6; pp. 991 - 1001
• Main Authors: Davydov, N.S., Evdokimova, V.V., Serafimovich, P.G., Protsenko, V.I., Khramov, A.G., Nikonorov, A.V.
• Format: Journal Article
• Language: English
• Published: Samara National Research University 01.12.2023
• Subjects: anomaly detection; functional magnetic resonance imaging; meta-learning; recurrent neural networks; signal analysis

Quality assessment and artifact detection in functional magnetic resonance imaging (fMRI) data is essential for clinical applications and brain research. Subject head motion remains the main source of artifacts - even the tiniest head movement can perturb the structural and functional data derived f...