Premotor and occipital theta asymmetries as discriminators of memory- and stimulus-guided tasks

Cartier, Consuelo; Bittencourt, Juliana; Peressutti, Caroline; Machado, Sérgio; Paes, Flávia; Sack, Alexander T.; Basile, Luis; Teixeira, Silmar; Salles, José Inácio; Nardi, Antônio Egídio; Cagy, Maurício; Piedade, Roberto; Arias-Carrión, Óscar; Velasques, Bruna; Ribeiro, Pedro

doi:10.1016/j.brainresbull.2011.10.013

Cited by 10 publications

(7 citation statements)

References 37 publications

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“…Previous studies have observed that the generation of IRA leads to desynchronization of alpha and beta bands in the lateral occipital complex region . The theta FB over the frontal and parietotemporal areas was also considered to be an effective feature for identifying emotional states (Aftanas et al, 2001;Cartier et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction

Yuan

Liu

2022

Front. Neurosci.

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Initial romantic attraction (IRA) refers to a series of positive reactions toward potential ideal partners based on individual preferences; its evolutionary value lies in facilitating mate selection. Although the EEG activities associated with IRA have been preliminarily understood; however, it remains unclear whether IRA can be recognized based on EEG activity. To clarify this, we simulated a dating platform similar to Tinder. Participants were asked to imagine that they were using the simulated dating platform to choose the ideal potential partner. Their brain electrical signals were recorded as they viewed photos of each potential partner and simultaneously assessed their initial romantic attraction in that potential partner through self-reported scale responses. Thereafter, the preprocessed EEG signals were decomposed into power-related features of different frequency bands using a wavelet transform approach. In addition to the power spectral features, feature extraction also accounted for the physiological parameters related to hemispheric asymmetries. Classification was performed by employing a random forest classifier, and the signals were divided into two categories: IRA engendered and IRA un-engendered. Based on the results of the 10-fold cross-validation, the best classification accuracy 85.2% (SD = 0.02) was achieved using feature vectors, mainly including the asymmetry features in alpha (8–13 Hz), beta (13–30 Hz), and theta (4–8 Hz) rhythms. The results of this study provide early evidence for EEG-based mate preference recognition and pave the way for the development of EEG-based romantic-matching systems.

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Section: Resultsmentioning

confidence: 99%

Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction

Yuan

Liu

2022

Front. Neurosci.

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“…Increased occipital theta activation was only observed in the early stages of mental calculation (Figures 3B,D ), and occipital theta activation has been responsible for controlling cognitive demands (Raghavachari et al, 2006 ). Specifically, identifying and processing stimuli is associated with occipital activation (Cartier et al, 2012 ). The increased occipital theta oscillation at the beginning of the mental calculation can be interpreted as a high cognitive demand in response to visual stimuli.…”

Section: Discussionmentioning

confidence: 99%

Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving

Wang

Jung

Lin

2018

Front. Behav. Neurosci.

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Performing multiple tasks simultaneously usually affects the behavioral performance as compared with executing the single task. Moreover, processing multiple tasks simultaneously often involve more cognitive demands. Two visual tasks, lane-keeping task and mental calculation, were utilized to assess the brain dynamics through 32-channel electroencephalogram (EEG) recorded from 14 participants. A 400-ms stimulus onset asynchrony (SOA) factor was used to induce distinct levels of attentional requirements. In the dual-task conditions, the deteriorated behavior reflected the divided attention and the overlapping brain resources used. The frontal, parietal and occipital components were decomposed by independent component analysis (ICA) algorithm. The event- and response-related theta and alpha oscillations in selected brain regions were investigated first. The increased theta oscillation in frontal component and decreased alpha oscillations in parietal and occipital components reflect the cognitive demands and attentional requirements as executing the designed tasks. Furthermore, time-varying interactive over-additive (O-Add), additive (Add) and under-additive (U-Add) activations were explored and summarized through the comparison between the summation of the elicited spectral perturbations in two single-task conditions and the spectral perturbations in the dual task. Add and U-Add activations were observed while executing the dual tasks. U-Add theta and alpha activations dominated the posterior region in dual-task situations. Our results show that both deteriorated behaviors and interactive brain activations should be comprehensively considered for evaluating workload or attentional interaction precisely.

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“…A number of studies have shown an association between theta frequency and cognition. Theta frequency showed a greater activation in the occipital region (Cartier et al, 2012 ) and decreased in patients with Parkinson's disease during the visuospatial task (Eichelberger et al, 2017 ). Reduces of theta oscillatory activity on cognitive load are common among schizophrenia, Alzheimer's disease, attention deficit hyperactivity disorder, Parkinson's disease (Güntekin & Başar, 2014 ), and older adults (Lithfous et al, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological mechanisms underlying hypoxia‐induced deficits in visual spatial and non‐spatial discrimination

Qiu

Zhongshen

et al. 2021

Physiol Rep

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Impaired visual cognition in residents of hypoxic environment has been widely reported; however, the underlying electrophysiological mechanisms remain unclear. In this study, 23 college students underwent three sessions of a Clock task test before a 30‐day high‐altitude exposure (Test 1) and 1 week (Test 2) and 3 months (Test 3) after they returned to lowlands. The Clock task consists of a visual spatial angle and a visual non‐spatial color discrimination subtask. Simultaneously, electroencephalography (EEG) was recorded during the Clock task. The behavioral results showed that, compared with Test 1, accuracy in Test 2 was significantly decreased in both the Angle and Color tasks, and reaction time (RT) was significantly increased in the Angle task. The event‐related potentials results showed that, during both tasks amplitudes of the occipital N1 and P3 components during both tasks were significantly decreased in Test 2, compared with Test 1. Moreover, N1 amplitude was negatively correlated with RT and positively correlated with accuracy. Further time–frequency EEG analysis showed that theta power at occipital sites was significantly decreased in both tasks in Test 2, compared with Test 1, and was negatively correlated with RT in the Angle task. In Test 3, both the behavioral performance and EEG activity recovered to the baseline level in Test 1. These findings suggested that hypoxia impairs both visual spatial and visual non‐spatial discriminations, and these impairments can recover after subjects return to lowlands. Inhibition of brain electrophysiological activity in the visual cortex may explain the deficits in visual cognition.

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Premotor and occipital theta asymmetries as discriminators of memory- and stimulus-guided tasks

Cited by 10 publications

References 37 publications

Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction

Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction

Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving

Electrophysiological mechanisms underlying hypoxia‐induced deficits in visual spatial and non‐spatial discrimination

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