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

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1201))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Harrisburg University of Science and Technology, 326 Market St., Harrisburg, PA, 17101, USA

    Siamak Aram, Denis Kornev, Roozbeh Sadeghian, Saeed Esmaili Sardari & Sagar Kora Venu

  2. Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA

    Hadis Dashtestani & Amir Gandjbakhche

Authors
  1. Siamak Aram
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  2. Denis Kornev
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  3. Roozbeh Sadeghian
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  4. Saeed Esmaili Sardari
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  5. Sagar Kora Venu
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  6. Hadis Dashtestani
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  7. Amir Gandjbakhche
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Corresponding author

Correspondence to Siamak Aram .

Editor information

Editors and Affiliations

  1. Drexel University, Philadelphia, PA, USA

    Hasan Ayaz

  2. National University of Sciences and Tech (NUST), School of Mech and Manufacturing Eng (SMME), Islamabad, Pakistan

    Umer Asgher

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Aram, S. et al. (2021). Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review. In: Ayaz, H., Asgher, U. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201. Springer, Cham. https://doi.org/10.1007/978-3-030-51041-1_4

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