Electroencephalography based emotion detection using ensemble classification and asymmetric brain activity

Gannouni, Sofien; Aledaily, Arwa; Belwafi, Kais; Aboalsamh, Hatim

doi:10.1016/j.jad.2022.09.054

Cited by 11 publications

(4 citation statements)

References 19 publications

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“…In addition, the differential amount of negative links was mostly observed in the networks of theta and beta frequency bands. These findings are compatible with the previous studies on brain connectivity during emotion processing that have shown the emergence of the theta frequency band 21 – 24 , 26 , 46 , and changes in beta waves 23 , 24 , 38 , 43 , 44 during low/high levels of valence.…”

Section: Discussionsupporting

confidence: 93%

“…Literatures have pointed that hemispheric laterality has a major role in perception of emotions 9 , 23 – 25 . In addition, emotion processing is performed in a frequency specific manner 1 , 9 , 24 – 26 , 26 – 28 . It has been reported that lower band frequencies specially theta waves (4–8 Hz) and higher frequencies mainly in beta waves (13–30 Hz) are important in perception of valence level of emotional stimuli 11 , 29 – 32 .…”

Section: Introductionmentioning

confidence: 99%

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Impact of negative links on the structural balance of brain functional network during emotion processing

Soleymani,

Khosrowabadi,

Pedram

et al. 2023

Sci Rep

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Activation of specific brain areas and synchrony between them has a major role in process of emotions. Nevertheless, impact of anti-synchrony (negative links) in this process still requires to be understood. In this study, we hypothesized that quantity and topology of negative links could influence a network stability by changing of quality of its triadic associations. Therefore, a group of healthy participants were exposed to pleasant and unpleasant images while their brain responses were recorded. Subsequently, functional connectivity networks were estimated and quantity of negative links, balanced and imbalanced triads, tendency to make negative hubs, and balance energy levels of two conditions were compared. The findings indicated that perception of pleasant stimuli was associated with higher amount of negative links with a lower tendency to make a hub in theta band; while the opposite scenario was observed in beta band. It was accompanied with smaller number of imbalanced triads and more stable network in theta band, and smaller number of balanced triads and less stable network in beta band. The findings highlighted that inter regional communications require less changes to receive new information from unpleasant stimuli, although by decrement in beta band stability prepares the network for the upcoming events.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Impact of negative links on the structural balance of brain functional network during emotion processing

Soleymani,

Khosrowabadi,

Pedram

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Various forms of cognitive assessments (CA) are also commonly available, including MMSE [29], CDR [99], ADAS-Cog [100,101], logical memory test [102,103], and postural kinematic analysis [104,105]. CSF, blood plasma biomarkers [106,107], and genetic data are available from several sources. Other less common data types include electroencephalography (EEG) for brain activity monitoring [106,107], mass spectra data collected through surface-enhanced laser desorption and ionization assay of saliva [108], and retinal imaging for abnormalities [109].…”

Section: Types Of Datamentioning

confidence: 99%

“…CSF, blood plasma biomarkers [106,107], and genetic data are available from several sources. Other less common data types include electroencephalography (EEG) for brain activity monitoring [106,107], mass spectra data collected through surface-enhanced laser desorption and ionization assay of saliva [108], and retinal imaging for abnormalities [109]. Electronic health records have also been studied to screen dementia and AD [110,111].…”

Section: Types Of Datamentioning

confidence: 99%

A Survey of Deep Learning for Alzheimer’s Disease

Zhou

Wang

et al. 2023

MAKE

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Alzheimer’s and related diseases are significant health issues of this era. The interdisciplinary use of deep learning in this field has shown great promise and gathered considerable interest. This paper surveys deep learning literature related to Alzheimer’s disease, mild cognitive impairment, and related diseases from 2010 to early 2023. We identify the major types of unsupervised, supervised, and semi-supervised methods developed for various tasks in this field, including the most recent developments, such as the application of recurrent neural networks, graph-neural networks, and generative models. We also provide a summary of data sources, data processing, training protocols, and evaluation methods as a guide for future deep learning research into Alzheimer’s disease. Although deep learning has shown promising performance across various studies and tasks, it is limited by interpretation and generalization challenges. The survey also provides a brief insight into these challenges and the possible pathways for future studies.

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Spectrum-based channel attention cooperating with time continuity encoding in transformer for EEG emotion analysis

Peng,

Zhang,

Zhao

et al. 2024

Biomedical Signal Processing and Control

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Electroencephalography based emotion detection using ensemble classification and asymmetric brain activity

Cited by 11 publications

References 19 publications

Impact of negative links on the structural balance of brain functional network during emotion processing

Impact of negative links on the structural balance of brain functional network during emotion processing

A Survey of Deep Learning for Alzheimer’s Disease

Spectrum-based channel attention cooperating with time continuity encoding in transformer for EEG emotion analysis

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