Dan Zhang

Hidden genetic diversity in 320 nearly-complete East Asian genome assemblies

The paper presents 320 nearly-complete East Asian genome assemblies, revealing new genetic diversity and structural variations not present in existing global pangenomes.

The Live Concert of Brains: Performer-Audience Neural Coupling Links Ensemble Coordination to Shared Audience Integration

This paper investigates how performer-audience neural coupling links ensemble coordination to shared audience integration during live music performances.

Prior Context Scaffolds Sentential Semantic Integration during Noisy Speech Comprehension

This study investigates how prior context aids speech comprehension in noise using EEG and fNIRS, finding that context supports sentence-level semantic integration rather than just word-level prediction.

Compensatory Mechanisms for Preserving Speech-in-Noise Comprehension Involve Prefrontal Cortex in Older Adults

This study identifies prefrontal cortex involvement in compensatory mechanisms for speech-in-noise comprehension in older adults using inter-brain neural coupling analysis.

Exploring the Neural Basis and Validity of Ordinal Emotion Representation through EEG

This study investigates the neural basis and validity of ordinal emotion representation using EEG data, showing it better captures emotional experiences than interval scales.

Complexity as a Potential Neurophysiological Correlate of Awe

This study investigates the neurophysiological correlates of awe using EEG, finding increased complexity in neural signals during awe experiences, though with limited generalization to other datasets.

Unveiling Frequency-Specific Microstate Correlates of Anxiety and Depression Symptoms

This study examines frequency-specific EEG microstate parameters in relation to anxiety and depression symptoms using a resting-state dataset, finding that alpha band microstates have stronger predictive power than broadband signals.

The Role of Semantic Inhibition in Aesthetic Appreciation: fNIRS Evidence from Poetry Reading

This study uses fNIRS to examine neural dynamics during aesthetic poetry reading, revealing a three-stage pattern involving semantic processing, inhibition, and reactivation linked to aesthetic appreciation.

Syncing Minds for Learning: Student-Teacher Inter-brain Coupling Forecast Cross-semester Academic Fluctuation in Real-World Classrooms

This study shows that increased student-teacher inter-brain coupling predicts academic improvement in real-world classrooms using longitudinal EEG data.

Electrophysiological Representations of Multivariate Human Emotion Experience

This study identifies EEG representations of multivariate emotion experience using inter-situation RSA, finding significant correlations in Alpha and Beta bands over frontal and parietal-occipital regions.

Inter-brain coupling analysis reveals learning-related attention of primary school students

This paper introduces an inter-brain attention coupling method to detect learning-related attention in primary school students and finds it correlates with academic performance.

Leading and Following: Noise Differently Affects Semantic and Acoustic Processing during Naturalistic Speech Comprehension

The paper examines how noise affects neural tracking of acoustic and semantic speech features during naturalistic speech comprehension, finding that semantic processing leads and is linked to comprehension performance.

EEG-based speaker-listener neural coupling reflects speech-selective attentional mechanisms beyond the speech stimulus

This study shows that neural coupling between speakers and listeners occurs before speech onset and correlates with comprehension, suggesting predictive attentional mechanisms.

Inter-brain coupling reflects disciplinary differences in real-world classroom learning

The paper examines how inter-brain coupling differs between soft and hard disciplines in classroom learning, finding distinct coupling patterns associated with learning outcomes.

Preparatory delta phase response is correlated with naturalistic speech comprehension performance

The paper examines how preparatory delta phase responses correlate with speech comprehension performance using EEG data from naturalistic speech tasks.

Delta phase resets mediate non-rhythmic temporal prediction

The paper shows that delta phase resets support temporal prediction in a non-rhythmic visual task without power increases or stimulus-driven activity.

Quantitative Personality Predictions from a Brief EEG Recording

This study uses machine learning to predict Big Five personality traits from 5 minutes of EEG data, showing convergence with self-reported scores and stability over time.