Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

• Published in: Neuroscience and biobehavioral reviews Vol. 74; no. Pt A; pp. 58 - 75
• Main Authors: Vieira, Sandra, Pinaya, Walter H.L., Mechelli, Andrea
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.03.2017
• Subjects: Autoencoders; Convolutional neural networks; Deep belief networks; Deep learning; Humans; Machine Learning; Mental Disorders; Multilayer perceptron; Nervous System Diseases; Neural Networks, Computer; Neuroimaging; Neurologic disorders; Pattern recognition; Psychiatric disorders; Speech; Deep learning; Neuroimaging; Autoencoders; Machine learning; Deep belief networks; Multilayer perceptron; Pattern recognition; Convolutional neural networks; Neurologic disorders; Psychiatric disorders

•Overview of deep learning basic concepts: architecture, learning and testing.•Literature review of deep learning in neuroimaging studies of brain-based disorders.•Discussion about future research and challenges of deep learning in neuroimaging. Deep learning (DL) is a family of machine learning met...