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481
Repetitive Transcranial Alternating Current Stimulation to Improve Working Memory: An EEG-fNIRS Study
Published 2024-01-01“…Our results indicate that tACS increases: i) behavioral scores (i.e., 15.08, <inline-formula> <tex-math notation="LaTeX">${p} < 0.001$ </tex-math></inline-formula>) and EEG band-wise powers (i.e., theta and beta bands) compared to the sham stimulation condition, ii) FC of both EEG-fNIRS signals, especially in the large-scale brain network communication and interhemispheric connections, and iii) the hemodynamic response in comparison to the pre-stimulation session and the sham condition. …”
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482
Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening
Published 2023-04-01“…Moreover, during cognitive testing, MCI patients showed lower heart rate variability, higher electrodermal activity values, and stronger brain activity in the alpha and beta bands.DiscussionIt was found that patients’ classification performance improved when combining features from multiple modalities compared to using only tablet parameters or physiological features, indicating that our scheme could reveal MCI-related discriminative information. …”
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483
Altered Neuromagnetic Activity in the Default Mode Network in Migraine and Its Subgroups (Episodic Migraine and Chronic Migraine)
Published 2024-01-01“…Results: The differences between MwoA and its subgroups (CM and EM) and HC based on spectral power were mainly in the delta, theta, and alpha bands, while the differences in functional connectivity were primarily in the delta, alpha, and beta bands. In the delta and theta bands, the spectral power of MwoA and its subgroups (CM and EM) was higher than in the HC group. …”
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484
Eyes-state-dependent alterations of magnetoencephalographic connectivity associated with delayed recall in Alzheimer’s disease via graph theory approach
Published 2023-10-01“…Next, in the AD group, higher scores on delayed recall correlated with diminished SW across delta, alpha, and beta bands in the EO condition. Finally, delayed recall scores significantly predicted relative differences in the SW group in the alpha band (t = −2.98, p = 0.009).DiscussionGiven that network studies could corroborate the results of previous power spectrum studies, our findings contribute to a multifaceted understanding of functional brain networks in AD, emphasizing that the SW properties of these networks change according to disease status, cognitive function, and experimental conditions.…”
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485
Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion
Published 2022-01-01“…Likewise, EEG and Eye tracking fusion on the right frontal region showed classification accuracy of 96.9 ± 1.1% for both the Alpha and Beta bands. Meanwhile, when all brain regions were utilized, the highest classification accuracy of EEG+Eye tracking was 96.8 ± 0.6% using Delta band compared to the EEG alone with 88.18 ± 8.5% and eye tracking alone with 76.8 ± 8.4 %, respectively. …”
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486
Contribution of parvalbumin and somatostatin-expressing GABAergic neurons to slow oscillations and the balance in beta-gamma oscillations across cortical layers
Published 2015-02-01“…These results suggest that PV cells play important roles in persistence of the up state and in the balance between gamma and beta bands across cortical layers, whereas SOM and PV cells may make an asymmetric contribution to regulate up-state and delta oscillations.…”
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487
The influence of prosthetic suspension on gait and cortical modulations is persons with a transfemoral amputation: socket-suspended versus bone-anchored prosthesis
Published 2024-03-01“…The event-related spectral perturbation maps revealed differences in power modulations (theta, alpha, and beta bands) between TFA and AB groups, and between BAP- and SSP-users, with largest differences observed around heel strike of either leg. …”
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488
Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment
Published 2019-05-01“…Conservative drivers showed higher PSDs in the parietal and occipital areas in the alpha and beta bands, aggressive drivers showed higher PSD in the temporal area in the delta and theta bands. …”
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489
Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study
Published 2023-07-01“…The coupling strength of premotor cortex, M1, S1 and several connections linked to frontal, parietal, and occipital lobes in subacute subjects were lower than in chronic subjects in low alpha, high alpha, low beta, and high beta bands. Nodal clustering coefficient (CC) analyses revealed that the CC in chronic subjects was higher than in subacute subjects in the ipsilesional S1 and occipital area, contralesional dorsolateral prefrontal cortex and parietal area. …”
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490
Oxytocin impacts top-down and bottom-up social perception in adolescents with ASD: a MEG study of neural connectivity
Published 2022-09-01“…Additionally, for both social and non-social stimuli, OT increased the connectivity in the alpha and beta bands. Limitations Sample size was determined based on sample sizes previously reported in MEG in clinical populations, especially OT administration studies in combination with neuroimaging in ASD. …”
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491
Brain oscillations in reflecting motor status and recovery induced by action observation-driven robotic hand intervention in chronic stroke
Published 2023-12-01“…However, ipsilesional oscillation changes in the delta and beta bands provide potential biomarkers related to the therapeutic-induced improvement of motor function in effective BCI intervention, which may be useful in understanding the brain plasticity changes and contribute to evaluating therapy and recovery in chronic-stage motor rehabilitation.…”
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492
Study of mental state recognition using physiological signals in virtual environment
Published 2022“…Further, significant differences in band powers from alpha, theta and beta bands are also observed between both groups. For deep learning-based recognition, Convolutional Neural Network (CNN)and Recurrent Neural Network (RNN) have been employed to achieve promising classification of affective states. …”
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493
Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder
Published 2023-03-01“…The strongest discriminative indicators were EEG beta power, the sum of bispectrum diagonal elements in delta and beta bands, and CD. The Combined feature vector classified R and NR with a high performance of 94.31% accuracy, 92.85% specificity, 95.65% sensitivity, and 92.85% precision using SVM. …”
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