Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders

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Editorial

03 March 2021

Editorial: Brain-image Based Computation for Supporting Clinical Decision in Neurological and Psychiatric Disorders

Lin Shi

,

Weidong Cai

and

Feng Feng

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3

The Chinese University of Hong Kong

Peking Union Medical College Hospital (CAMS)

The University of Sydney

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One of the major aims to advancing computational and statistical analysis of brain images is to assist differentiation and early detection of various neurological and psychiatric diseases. Recent breakthroughs in decoding brains from high quality non-invasive imaging have shown potential to bring quantitative evidence-based and intelligent assistance for clinical applications.

This Research Topic seeks contributions in the form of original research articles, reviews as well as short communication to bridge advances in neuroimaging methodologies and the real-world prediction, diagnosis, and prognosis of various neurological and psychiatric diseases.

One of the major aims to advancing computational and statistical analysis of brain images is to assist differentiation and early detection of various neurological and psychiatric diseases. Recent breakthroughs in decoding brains from high quality non-invasive imaging have shown potential to bring quantitative evidence-based and intelligent assistance for clinical applications.

This Research Topic seeks contributions in the form of original research articles, reviews as well as short communication to bridge advances in neuroimaging methodologies and the real-world prediction, diagnosis, and prognosis of various neurological and psychiatric diseases.

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Editors

The Chinese University of Hong Kong

Peking Union Medical College Hospital (CAMS)

The University of Sydney

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Frontiers in Neuroscience

Brain Imaging Methods

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Frontiers in Psychiatry

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Frontiers in Neurology

Applied Neuroimaging, Brain Imaging Methods

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Frontiers in Neuroimaging

Brain Imaging Methods

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