Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review

机译：人脑认知功能中的机器学习方法和神经影像：综述

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Brain science is that sphere of knowledge on the frontline of modern reality wherefrom the accuracy of diagnoses and speed of decision making depends on human mental health. Machine Learning and Deep Learning are the contemporary methodologies and algorithms that can combine a huge amount of complex data in the coherent structure and help scientists solve brain disorders. This paper reviews different Machine Learning algorithms that investigate data patterns and trends, collected from the human brain using several neuroimaging techniques.

机译：脑科学是现代现实前线的知识范围，从诊断准确性和决策速度取决于人体心理健康。机器学习和深度学习是当代方法和算法，可以将大量复杂数据组合在相干结构中，并帮助科学家解决大脑疾病。本文评论了使用多种神经影像学技术从人脑收集的数据模式和趋势的不同机器学习算法。

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《International Conference on Neuroergonomics and Cognitive Engineering;International Conference on Industrial Cognitive Ergonomics and Engineering Psychology;International Conference on Applied Human Factors and Ergonomics》|2021年|xvii 455 pages :|共7页
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Siamak Aram; Denis Kornev; Roozbeh Sadeghian; Saeed Esmaili Sardari; Sagar Kora Venu; Hadis Dashtestani; Amir Gandjbakhche;
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中图分类 TB18-532;
关键词
Functional near-infrared spectroscopy; Deep Learning; Cognitive functions; Machine Learning; Neuroimaging;

机译：功能近红外光谱;深度学习;认知功能;机器学习;神经影像学;

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专利

1. Contribution of Neuroimaging Studies to Understanding Development of Human Cognitive Brain Functions [J] . Tomoyo Morita, Minoru Asada, Eiichi Naito Frontiers in Human Neuroscience . 2016,第3期

机译：神经影像研究对理解人类认知脑功能发展的贡献
2. Brain mapping in cognitive disorders: a multidisciplinary approach to learning the tools and applications of functional neuroimaging [J] . Daniel J Kelley, Sterling C Johnson BMC Medical Education . 2007,第1期

机译：认知障碍中的大脑作图：学习功能性神经成像工具和应用的多学科方法
3. Machine Learning Approaches for Cognitive State Classification and Brain Activity Prediction: A Survey [J] . Parida Shantipriya, Dehuri Satchidananda, Cho Sung-Bae Current Bioinformatics . 2015,第4期

机译：认知状态分类和大脑活动预测的机器学习方法：一项调查
4. Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review [C] . Siamak Aram, Denis Kornev, Roozbeh Sadeghian, International Conference on Neuroergonomics and Cognitive Engineering;International Conference on Industrial Cognitive Ergonomics and Engineering Psychology;International Conference on Applied Human Factors and Ergonomics . 2021

机译：人脑认知功能中的机器学习方法和神经影像：综述
5. Machine Learning Approaches to Provide Spatio-Temporal Characterization of Human Brain Functional Activities. [D] . Shahni Karamzadeh, Nader. 2016

机译：提供人脑功能活动的时空特征的机器学习方法。
6. Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review [O] . Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdes Hernandez, 2018

机译：神经影像机器学习对认知障碍和痴呆的辅助诊断：系统综述
7. Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review [O] . Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdes Hernandez, 2018

机译：辅助诊断认知障碍与痴呆症的机器学习：系统评价

Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review

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