Tibor Auer

The paper shows that cognitive tasks alter resting-state EEG markers like iAPF and aperiodic exponent across adult ages, with age-dependent changes in aperiodic shifts.

This study identifies dynamic EEG neuromarkers of cognitive ageing and memory function, showing they are more robust and sensitive than static markers.

The paper addresses real-time fMRI data export challenges, showing delays in data transfer and proposing a solution for Siemens MRI devices that reduces delays and improves quality measures.

This study uses machine learning to analyze 608 participants and identifies two factors improving neurofeedback performance: pre-training no-feedback runs and training patients over healthy participants.

This study investigates whether pre-training brain activity can predict success in real-time fMRI neurofeedback learning across 24 studies and 401 participants, finding a weak correlation but no consistent predictors.

This study investigates how dopamine levels in Parkinson’s disease patients affect sensory attenuation during voluntary movements, finding a negative correlation with motor severity and a positive correlation with dopamine dose.

This study examines the associations between cardiovascular risk factors and white matter structure in aging, finding that systolic blood pressure, diastolic blood pressure, and heart rate independently impact white matter health.

The paper shows that physical activity preserves frontal white matter integrity and reduces age-related slowing in a population-based sample.

This paper introduces BIDS Apps, a framework for creating portable neuroimaging analysis tools compatible with BIDS data, improving reproducibility and ease of use.

This paper introduces NIDM-Results, a standardized format for sharing neuroimaging statistical results, enabling reproducibility and meta-analysis.

The paper introduces BIDS, a standard for organizing MRI datasets to improve data sharing and processing.

This paper reviews the application of Linked Data principles in neuroscience to organize data, enhance credibility, and improve data reuse.