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Journal: Sensors (Basel, Switzerland)
Article Title: Deception Detection from Five-Channel Wearable EEG on LieWaves: A Reproducible Baseline for Subject-Dependent and Subject-Independent Evaluation
doi: 10.3390/s26031027
Figure Lengend Snippet: Basic dataset diagnostics for LieWaves: ( a ) session-level class distribution (27 truth vs. 27 lie sessions); and ( b ) histogram of raw EEG file sizes (kB) across all 54 sessions, indicating broadly consistent recording duration.
Article Snippet:
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Deception Detection from Five-Channel Wearable EEG on LieWaves: A Reproducible Baseline for Subject-Dependent and Subject-Independent Evaluation
doi: 10.3390/s26031027
Figure Lengend Snippet: Subject 1, session 1: ( a ) 30 s excerpt of an automatic wavelet-packet artifact reduction (ATAR)-preprocessed recording on the five EEG channels (shaded bars mark stimulus-on intervals); and ( b ) PSD for the same session and channels, showing out-of-band attenuation consistent with the 1–45 Hz pass-band (the additional 50 Hz notch is redundant under this range), as well as between-channel spectral differences (log-scale y -axis).
Article Snippet:
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Deception Detection from Five-Channel Wearable EEG on LieWaves: A Reproducible Baseline for Subject-Dependent and Subject-Independent Evaluation
doi: 10.3390/s26031027
Figure Lengend Snippet: Subject 1, session 1: ( a ) mean band power over 2.0 s automatic wavelet-packet artifact reduction (ATAR)-preprocessed windows, averaged across the five EEG channels for lie and truth segments; and ( b ) mean PSD across the same channels for the same session, with the 1–45 Hz pass-band highlighted (log-scale y -axis).
Article Snippet:
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Deception Detection from Five-Channel Wearable EEG on LieWaves: A Reproducible Baseline for Subject-Dependent and Subject-Independent Evaluation
doi: 10.3390/s26031027
Figure Lengend Snippet: Architecture of the Residual Temporal Convolutional Network with Squeeze-and-Excitation and Attention (Res-TCN-SE-Attention) model for deception detection from automatic wavelet-packet artifact reduction (ATAR)-preprocessed EEG. The raw waveform branch (top) receives 2.0 s windows (256 samples × 5 channels at 128 Hz) and passes them through Gaussian noise injection, an initial Conv1D layer, and five depthwise-separable residual blocks with squeeze-and-excitation (SE) modulation and progressive temporal down-sampling, followed by attention pooling and a 192-unit dense layer. In parallel, a DWT branch encodes a 175-dimensional wavelet feature vector with a small multi-layer perceptron, and a FEATS branch encodes a 167-dimensional extended spectral–statistical feature vector. The three embeddings are concatenated and passed through a 160-unit dense layer with dropout and a final sigmoid neuron that outputs the deception probability for each window.
Article Snippet:
Techniques: Injection, Sampling, Plasmid Preparation
Journal: Sensors (Basel, Switzerland)
Article Title: Deception Detection from Five-Channel Wearable EEG on LieWaves: A Reproducible Baseline for Subject-Dependent and Subject-Independent Evaluation
doi: 10.3390/s26031027
Figure Lengend Snippet: Architecture of the Residual Network with Squeeze-and-Excitation blocks (ResNet-SE) model. The network is a three-stage residual 1D-CNN with squeeze-and-excitation (SE) blocks operating on automatic wavelet-packet artifact reduction (ATAR)-preprocessed 3.0 s EEG windows (384 samples × 5 channels at 128 Hz). Each stage comprises two dilated Conv1D residual blocks (64, 96, and 128 filters with kernel sizes 11, 9, and 7, respectively), with temporal down-sampling after the first block in each stage. The final feature maps are aggregated with global average pooling, followed by dropout, a 128-unit dense layer, and a 1-unit sigmoid output for deception versus truth classification.
Article Snippet:
Techniques: Sampling, Blocking Assay
Journal: Frontiers in Pain Research
Article Title: NOP agonist AT-403 promoted sleep in lactic acid-induced acute pain model
doi: 10.3389/fpain.2025.1659121
Figure Lengend Snippet: AT-403 prevented lactic acid-induced sleep disruption but not morphine or meloxicam. In panels (A–H) saline, morphine, meloxicam, or AT-403 was administered 1 h prior to 5.6% lactic acid and sleep or behavior was recorded. AT-403, but not morphine or meloxicam, decreased pain-related behaviors stretching (A) and grooming (C) 30 min post-administration but not rearing (B) or spontaneous homecage locomotor activity sum during EEG recording 30 min post-administration (D) AT-403, but not morphine or meloxicam, increased NREM sleep (E) and decreased REM sleep (G) duration 3 h post administration, and decreased NREM sleep latency (F) but not REM sleep latency (H) Significant correlations between NREM sleep (1 h post-lactic acid administration) or REM sleep duration (3 h post administration) and stretching (0–30 min post lactic acid administration) were present following saline (I,M) but not morphine (J,N) , meloxicam (K,O) , or AT-403 administration (L,P) . Data expressed as the average ± SEM in error bars. * Dose significant from vehicle ( p < 0.05). R 2 and p values are shown in red (significant p < 0.05) or black (not significant).
Article Snippet: Male and female Sprague
Techniques: Disruption, Saline, Activity Assay
Figure 3 to highlight the acute effects of morphine (F) and AT-403 (R) during the first 6 h post-administration. Data expressed as the average ± SEM in shaded borders; colored horizontal lines signify dose significant from vehicle at those timepoints. " width="100%" height="100%">
Journal: Frontiers in Pain Research
Article Title: NOP agonist AT-403 promoted sleep in lactic acid-induced acute pain model
doi: 10.3389/fpain.2025.1659121
Figure Lengend Snippet: Effects of morphine, meloxicam, and AT-403 on quantitative EEG and locomotor activity. Data expressed as percent change from within-subjects same-day baseline for 6 h post-dosing. Morphine increased delta, decreased beta, increased high gamma power, and increased locomotor activity (A–F) . Meloxicam decreased NREM sleep sigma power but otherwise had no effect on quantitative EEG activity (G–L) . AT-403 increased delta, decreased beta, decreased high gamma, increased NREM sleep delta, increased NREM sleep sigma, and decreased locomotor activity (M–R) . Locomotor activity data are replotted from
Article Snippet: Male and female Sprague
Techniques: Activity Assay