Literature DB >> 25939499

Decoding of visual information from human brain activity: A review of fMRI and EEG studies.

Raheel Zafar1,2, Aamir Saeed Malik1,2, Nidal Kamel1,2, Sarat C Dass1,3, Jafri M Abdullah4,5, Faruque Reza4,5, Ahmad Helmy Abdul Karim4,6.   

Abstract

Brain is the command center for the body and contains a lot of information which can be extracted by using different non-invasive techniques. Electroencephalography (EEG), Magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) are the most common neuroimaging techniques to elicit brain behavior. By using these techniques different activity patterns can be measured within the brain to decode the content of mental processes especially the visual and auditory content. This paper discusses the models and imaging techniques used in visual decoding to investigate the different conditions of brain along with recent advancements in brain decoding. This paper concludes that it's not possible to extract all the information from the brain, however careful experimentation, interpretation and powerful statistical tools can be used with the neuroimaging techniques for better results.

Entities:  

Keywords:  Brain reading; EEG; decoding visual patterns; fMRI; human visual cortex

Mesh:

Substances:

Year:  2015        PMID: 25939499     DOI: 10.1142/S0219635215500089

Source DB:  PubMed          Journal:  J Integr Neurosci        ISSN: 0219-6352            Impact factor:   2.117


  3 in total

1.  Constraint-Free Natural Image Reconstruction From fMRI Signals Based on Convolutional Neural Network.

Authors:  Chi Zhang; Kai Qiao; Linyuan Wang; Li Tong; Ying Zeng; Bin Yan
Journal:  Front Hum Neurosci       Date:  2018-06-22       Impact factor: 3.169

Review 2.  Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior.

Authors:  Célia Loriette; Julian L Amengual; Suliann Ben Hamed
Journal:  Front Neurosci       Date:  2022-09-08       Impact factor: 5.152

3.  Phasic modulation of visual representations during sustained attention.

Authors:  Mats W J van Es; Tom R Marshall; Eelke Spaak; Ole Jensen; Jan-Mathijs Schoffelen
Journal:  Eur J Neurosci       Date:  2021-01-06       Impact factor: 3.698

  3 in total

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