Tiina M. Parviainen

This study examines alpha and beta oscillations in children and adults during auditory inhibitory tasks, finding age-related differences in neural dynamics during response inhibition.

The paper examines how neural and bodily responses during emotional video viewing relate to valence and arousal ratings, finding distinct brain and body signal patterns and temporal dynamics.

The paper examines how vibroacoustic stimulation before music listening modulates brain oscillatory dynamics, showing changes in power and spatial distribution of neural activity.

This study identifies beta-band power suppression as a neural signature of interoceptive attention, showing it correlates with interoceptive accuracy during heartbeat processing.

The paper examines physiological and neural activity during naturalistic learning situations using EEG and ECG, showing systematic variations in heart rate, heart rate variability, and brain activity across learning phases.

The paper examines how harmonious and disharmonious color combinations affect neural activity and aesthetic judgments using EEG data.

This study shows that neural activity changes with breathing phases and techniques, with alpha power fluctuating during inspiration and expiration and increasing during deep breathing.

The paper investigates how heart rate variability modulates brain oscillatory activity and links heart-brain coupling to individual trait characteristics.

This study examines how adolescents respond to peer and expert feedback, finding neural sensitivity to peer input but no greater conformity behavior.

The paper compares auditory cortex excitability in humans and rats, finding similar age-related patterns in evoked responses.

The paper examines differences in auditory cortical responses and their relation to inhibitory control in children and adults, finding divergent brain-behavior associations.

This study examines cross-modal attentional control in adolescents using MEG, finding differences in visual and auditory cortex engagement linked to physical activity levels.

Meggie provides an open-source, Python-based GUI for M/EEG analysis, enabling end-to-end processing with multi-subject support and plugin extendibility.

The paper shows that unique left auditory cortex activity in children predicts performance in inhibition tasks, suggesting different brain mechanisms compared to adults.

The paper examines how physical activity and aerobic fitness relate to brain processes involved in anticipatory selective visuospatial attention in adolescents, finding distinct associations.

The paper shows that musicianship can be predicted from brain structure MRI data using machine learning, achieving significant classification accuracy.

This study finds that higher moderate-to-vigorous physical activity in adolescents is linked to increased local functional brain connectivity, but not aerobic fitness or interhemispheric connectivity.

This study examines the relationship between aerobic fitness, physical activity, and white matter properties in adolescents, finding that aerobic fitness, not physical activity, is linked to white matter and executive functions.

The paper uses PCA on MEG data to identify brain activity patterns linked to psychological traits during focused attention and mind wandering.