A Review on fMRI Signal Analysis and Brain Mapping Methodologies

Raut, Savita V.; Yadav, D. M.

doi:10.1007/978-981-10-2471-9_30

Cited by 1 publication

(1 citation statement)

References 26 publications

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“…Invasive equipment like Electrocorticography (ECoG) (Schalk and Leuthardt 2011) have high resolution, but their invasiveness and discomfort limit their effective usefulness. Noninvasive approaches include Magnetoencephalography (MEG) (Mellinger et al 2007), functional Magnetic Resonance Imaging (fMRI) (Raut and Yadav 2017), functional Near-Infrared Spectroscopy (fNIRS) (Naseer and Hong 2015), Positron Emission Tomography (PET) (Deore, Chaudhari, and Mehrotra 2013), Single-Photon Emission Computed Tomography (SPECT) (Bhattacharyya et al 2016), and Electroencephalography (EEG) (Moghimi et al 2013). fMRI and fNIRS based BCIs have limited speed.…”

Section: Acquisition Hardwarementioning

confidence: 99%

Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review

Spezialetti

Cinque

Tavares

et al. 2018

Behaviour & Information Technology

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Many critical aspects affect the correct operation of a Brain Computer Interface. The term "BCIilliteracy" describes the impossibility of using a BCI paradigm. At present, a universal solution does not exist and seeking innovative protocols to drive a BCI is mandatory. This work presents a meta-analytic review on recent advances in emotions recognition with the perspective of using emotions as voluntary, stimulus-independent, commands for BCIs. 60 papers, based on electroencephalography measurements, were selected to evaluate what emotions have been most recognized and what brain regions were activated by them. It was found that happiness, sadness, anger and calm were the most recognized emotions. Most discriminant locations for emotions recognition and for the particular case of discrete emotions recognition were identified in the temporal, frontal and parietal areas. The meta-analysis was mainly performed on stimulus-elicited emotions, due to the limited amount of literature about self-induced emotions. The obtained results represent a good starting point for the development of BCI driven by emotions and allow to: 1) ascertain that emotions are measurable and recognizable one from another 2) select a subset of most recognizable emotions and the corresponding active brain regions.

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