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Translational application of neuroimaging in major depressive disorder: a review of psychoradiological

Ziqi Chen, Xiaoqi Huang, Qiyong Gong, Bharat B. Biswal

Frontiers of Medicine 2021, Volume 15, Issue 4, Pages 528-540 doi: 10.1007/s11684-020-0798-1

Abstract: With the advancement of neuroimaging approaches, numerous functional and structural alterations in the

Keywords： psychoradiology major depressive disorder MRI biomarker

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A Brief Review of Artificial Intelligence Applications and Algorithms for Psychiatric Disorders Review

Guang-Di Liu, Yu-Chen Li, Wei Zhang, Le Zhang

Engineering 2020, Volume 6, Issue 4, Pages 462-467 doi: 10.1016/j.eng.2019.06.008

Abstract:

A number of brain research projects have recently been carried out to study the etiology and mechanisms of psychiatric disorders. Although psychiatric disorders are part of the brain sciences, psychiatrists still diagnose them based on subjective experience rather than by gaining insights into the pathophysiology of the diseases. Therefore, it is urgent to have a clear understanding of the etiology and pathogenesis of major psychiatric diseases, which can help in the development of effective treatments and interventions. Artificial intelligence (AI)-based applications are being quickly developed for psychiatric research and diagnosis, but there is no systematic review that summarizes their applications. For this reason, this study briefly reviews three main brain observation techniques used to study psychiatric disorders—namely, magnetic resonance imaging (MRI), electroencephalography (EEG), and kinesics-based diagnoses—along with related AI applications and algorithms. Finally, we discuss the challenges, opportunities, and future study directions of AI-based applications.

Keywords： Artificial intelligence Psychiatric disorders Neuroimaging

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A platform of digital brain using crowd power Article

Dongrong XU, Fei DAI, Yue LU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 78-90 doi: 10.1631/FITEE.1700800

Abstract: A powerful platform of digital brain is proposed using crowd wisdom for brain research, based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating. The design of the platform aims to make it a comprehensive brain database, a brain phantom generator, a brain knowledge base, and an intelligent assistant for research on neurological and psychiatric diseases and brain development. Using big data, crowd wisdom, and high performance computers may significantly enhance the capability of the platform. Preliminary achievements along this track are reported.

Keywords： intelligence Digital brain Synthesis reasoning Multi-source analogical generating Crowd wisdom Deducing Neuroimaging

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Systems Neuroengineering: Understanding and Interacting with the Brain Review

Bradley J. Edelman,Nessa Johnson,Abbas Sohrabpour,Shanbao Tong,Nitish Thakor,Bin He

Engineering 2015, Volume 1, Issue 3, Pages 292-308 doi: 10.15302/J-ENG-2015078

Abstract: technologies exist, we focus here on three major thrusts in the field of systems neuroengineering: neuroimagingNeuroimaging enables us to delineate the structural and functional organization of the brain, which isFeedback-based neuro-devices require the ability to sense neural activity (via a neuroimaging modality

Keywords： systems neuroengineering neuroimaging neural interface neuromodulation neurotechnology brain-computer