Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization

Schizophrenia Research
Kanghan OhYoung Chul Chung

Abstract

The recent deep learning-based studies on the classification of schizophrenia (SCZ) using MRI data rely on manual extraction of feature vector, which destroys the 3D structure of MRI data. In order to both identify SCZ and find relevant biomarkers, preserving the 3D structure in classification pipeline is critical. The present study investigated whether the proposed 3D convolutional neural network (CNN) model produces higher accuracy compared to the support vector machine (SVM) and other 3D-CNN models in distinguishing individuals with SCZ spectrum disorders (SSDs) from healthy controls. We sought to construct saliency map using class saliency visualization (CSV) method. Task-based fMRI data were obtained from 103 patients with SSDs and 41 normal controls. To preserve spatial locality, we used 3D activation map as input for the 3D convolutional autoencoder (3D-CAE)-based CNN model. Data on 62 patients with SSDs were used for unsupervised pretraining with 3D-CAE. Data on the remaining 41 patients and 41 normal controls were processed for training and testing with CNN. The performance of our model was analyzed and compared with SVM and other 3D-CNN models. The learned CNN model was visualized using CSV method. Using task-based fM...Continue Reading

Citations

Sep 15, 2020·Physical and Engineering Sciences in Medicine·Ahmad ShalbafArash Maghsoudi
Feb 11, 2020·Frontiers in Bioengineering and Biotechnology·Yasunari Matsuzaka, Yoshihiro Uesawa
Dec 15, 2020·Briefings in Bioinformatics·Ninon BurgosOlivier Colliot
Jan 30, 2021·Experimental Neurology·Fabian EitelKerstin Ritter
Dec 1, 2020·Frontiers in Psychiatry·Yu-Wei ChangAlbert C Yang
Mar 9, 2021·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Zhuangzhuang LiYiqiu Jiang
Jun 10, 2021·Schizophrenia Research·Jose A Cortes-BrionesPablo A Estevez
Jun 15, 2021·Computational Intelligence and Neuroscience·Sergio Leonardo MendesJoão Ricardo Sato

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