Deep Neural Network-Based Classification of ASD and Neurotypical Subjects Using Functional Connectivity Features Derived from Resting-State fMRI Data

Nirmal Rai; P. C. Pradhan; Hemanta Saikia; Om Prakash Singh; Rinkila Bhutia

doi:10.1007/978-981-19-5090-2_12

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Deep Neural Network-Based Classification of ASD and Neurotypical Subjects Using Functional Connectivity Features Derived from Resting-State fMRI Data

Nirmal Rai P. C. Pradhan Hemanta Saikia Om Prakash Singh Rinkila Bhutia

Year: 2022 Lecture notes in networks and systems Pages: 125-129 Publisher: Springer International Publishing

DOI: 10.1007/978-981-19-5090-2_12

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Keywords:

Resting state fMRI Functional connectivity Neurotypical Computer science Functional magnetic resonance imaging Artificial intelligence Neuroscience Pattern recognition (psychology) Connectome Psychology Autism spectrum disorder Autism

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Functional Brain Connectivity Studies

Life Sciences → Neuroscience → Cognitive Neuroscience

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Advanced MRI Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Deep Neural Network-Based Classification of ASD and Neurotypical Subjects Using Functional Connectivity Features Derived from Resting-State fMRI Data

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