The neuro-behavioral contributions of early parental autonomy support to executive function.

Fairness during resource allocation influences event-related potential (ERP) responses during memory of receivers' faces.

The role of distinct food reward processing stages in restrained eating subtypes: An ERP study.

Normalization is widely used in electroencephalogram (EEG)-based multivariate pattern classification (MVPC) to reduce magnitude differences across trials and subjects. However, the spatial normalization method as applied to EEG channel-based brain maps has been rarely investigated in EEG-based decoding tasks like event-related potential (ERP) experiments. Meanwhile, the effectiveness of spatial normalization across diverse experimental paradigms remains unclear. This study evaluated the impact of spatial normalization on decoding accuracy using the support vector machine (SVM). The analysis included nine experimental paradigms, with seven binary ERP paradigms, one four-class facial expression paradigm, and one sixteen-class orientation paradigm. Results showed that spatial normalization significantly improved the between-subjects decoding accuracy (Cohen’s d = 1 . 39 , p < 0 . 001 ) but did not enhance the within-subjects decoding accuracy. Additionally, the morphological fidelity of the difference wave was preserved after spatial normalization, as evidenced by the high similarity between the normalized and original ERP difference waves across the seven binary paradigms. We validated our findings across diverse experimental paradigms and demonstrated that spatial normalization effectively enhances between-subjects decoding accuracy using SVM while preserving the temporal consistency of ERP, offering a generalizable preprocessing approach for EEG-based cognitive, clinical, and brain–computer interface (BCI) applications. • The effect of spatial normalization was evaluated on the EEG decoding performance using SVM. • Nine diverse paradigms (seven binary, two multi-category) were examined in the between and within-subjects conditions. • Spatial normalization enhanced between-subjects decoding accuracy but not within-subjects decoding accuracy. • Spatially normalized data preserved the morphological fidelity of the difference waves as evidenced by seven binary paradigms.

This study investigates the neural and postural correlates of environmental perception using simultaneous EEG-posturography recordings in 34 participants viewing polluted, pleasant, and neutral landscapes. By combining spectral analysis and event-related potentials (ERPs), we identified three key findings: (1) Pleasant landscapes enhanced alpha (8–12 Hz) power in left posterior regions and beta (12–30 Hz) in parietal areas, while polluted scenes reduced delta/theta (1–8 Hz) activity, suggesting disrupted relaxation; (2) ERP analyses revealed pollution-induced amplification of both early (EPN) and late (P3) components, indicating sustained attentional capture; (3) Postural coupling showed that pollution-related theta power at P7 predicted sway instability, whereas faster P1 latency correlated with increased stability in pleasant scenes. These results demonstrate that polluted environments elicit a distinct neuro-postural profile characterized by stress-related spectral reduction and hypervigilant ERPs, while natural scenes promote neural patterns associated with visuomotor integration. • First simultaneous EEG-posturography evidence that polluted vs. natural landscapes differentially modulate brain-body interactions. • Pollution disrupts relaxation networks: Reduction of delta/theta (1-8 Hz) power correlates with postural instability, suggesting stress-related sensorimotor decoupling. • Nature enhances visuomotor integration: Faster P100 latency and increased parietal beta (12-30 Hz) predict improved postural stability in natural scenes. • Pollution induces hypervigilance: Amplified EPN/P300 components reveal sustained attentional capture by aversive environmental stimuli.

ERP signatures of face redundancy and identity variation in multi-face arrays.

Acute aerobic exercise improves inhibitory control in individuals with test anxiety: evidence from event-related potentials.

Electrocortical reactivity during self-referential processing in current and remitted depression.

Neurocognitive mechanisms of mental imagery-based fear conditioning in individuals with social anxiety.

Social status modulates cooperative feedback processing: Electrophysiological evidence from an event-related potential study.

Emotion processing models in individuals with different levels of social anxiety based on the crowd emotion perception task.

Effects of Soluble Corn Fiber Consumption on Executive Functions and Gut Microbiota in Middle to Older Age Adults: A Randomized Controlled Crossover Trial.

Green building research is shifting from a sole focus on physical performance to a human-centered, collaborative approach that integrates environmental sustainability with user well-being. However, a critical gap remains in understanding how built environments influence physiological, emotional, and cognitive processes. This review examines the integration of neuroscientific tools - including electroencephalography (EEG), functional magnetic resonance imaging (fMRI), event-related potentials (ERPs), eye-tracking (ET), and functional near-infrared spectroscopy (fNIRS) - into green building research. These technologies enable objective and fine-grained measurement of human responses to architectural spaces. We demonstrate how multimodal neurotechnologies facilitate real-time detection of human–environment interactions, supporting dynamic spatial optimization, health-oriented performance enhancement, and the subconscious reinforcement of sustainable behaviors. Beyond synthesizing empirical evidence, we propose an AI-augmented collaborative design framework that connects neural data with environmental parameters, bridging aesthetic, scientific, technical, and ethical rationalities. This framework provides a transformative pathway towards carbon neutrality while enhancing cognitive and emotional well-being, positioning neuroscience as a cornerstone of next generation green building research. • Integrates neuroscience (EEG, fMRI, ET, fNIRS) into green building to objectively measure user responses. • Proposes a collaborative design model bridging aesthetics, science, tech, and ethics for synergy. • Uses multimodal neural-environmental-behavioral data fusion for precise human-building interaction. • Shifts green building paradigm from human adaptation towards neuro-adaptive environments empowering users. • Uses neuro-responsive design to subconsciously drive sustainable behaviors and carbon goals.

P3a is an event-related potential that reflects the involuntary orienting of attention to salient stimuli. Abnormalities in P3a have been described in schizophrenia, but it is not known when they arise over the course of illness and whether they are progressive. Previous longitudinal studies of P3a have been inconclusive because of the heterogeneity in the diagnosis of psychotic patients, lack of follow-up data on controls, and relatively short follow-up periods. P3a, elicited by novel sounds, was assessed in 21 patients with first-episode schizophrenia and 36 healthy controls at baseline and reassessed in 14 patients and 23 controls after an average follow-up of six years. The longitudinal evaluation showed that the P3a amplitude was reduced in patients compared to controls at baseline but did not differ between groups at follow-up. Although P3a was reduced over the six-year interval in both groups, the reduction was greater in controls compared to patients. Longitudinal findings suggest that the P3a amplitude deficit is present at the onset of schizophrenia. Normalization of P3a amplitudes in patients at follow-up may reflect the premature aging effect on P3a at the onset of illness, a floor effect in P3a amplitudes of both groups at follow-up, or the reversal of the P3a deficit in patients over time. Interestingly, at baseline, the P3a amplitude in patients without follow-up data did not differ from controls and was greater than in patients with follow-up data. Baseline findings indicate a heterogeneity within the first-episode schizophrenia group.

Lateralized neural and oculomotor alterations in temporal lobe epilepsy: A combined eye-tracking and event-related potential study.

Chasing the "Like": High FoMO elevates P300 responses to positive social feedback.

Sustained consummatory reward processing deficits in remitted melancholic depression.

Neuroimaging studies often use computerized tasks, but reliance on virtual stimuli limits ecological validity. Incorporating real object interaction under controlled recording conditions may enhance the study of decision-making processes. We developed Lab-Life, a device enabling manipulation of real objects while ensuring precise monitoring and compatibility with electrophysiological recordings. Forty-four right-handed healthy volunteers performed two decision-making tasks: the Iowa Gambling Task (IGT, real vs. virtual cards) and the Game of Dice Task (GDT, real vs. virtual dice). Twenty-two participants (11 per task) used Lab-Life (hybrid condition), while additional virtual task groups were included to illustrate typical behavioral and EEG signatures. Object identity and values were tracked with infrared cameras, and EEG was recorded to analyze event-related potentials (ERPs) to outcomes. Behavioral analyses showed perfect concordance between expected and detected object values in hybrid condition, validating Lab-Life's automated object recognition. EEG analyses revealed comparable numbers of valid trials and similar ERP patterns between hybrid and virtual task conditions, indicating that the device does not introduce movement artifacts. Participants consistently reported higher enjoyment when manipulating real compared to virtual objects. Unlike conventional paradigms relying solely on virtual stimuli, Lab-Life integrates real objects without compromising behavioral or electrophysiological data quality. The device allows precise temporal synchronization between object manipulation and EEG recordings while preserving experimental control. Lab-Life is a validated methodological tool for combining behavioral and electrophysiological measures with real object manipulation. It offers a flexible and adaptable platform for decision-making, memory, or perceptual tasks, thereby bridging the gap between laboratory experiments and real-life conditions. Larger studies are warranted to further explore its impact on cognitive performance.

Selective Attention Dynamics in Adults With Attention-Deficit/Hyperactivity Disorder: A Role for Sensory Processing Asymmetry?

Electrophysiological evidence for encoding mechanisms underlying the formation of false recognitions with context retrieval.