Daniel Kristanto

The paper benchmarks personalized cortical parcellation methods using fMRI data, finding trade-offs in spatial correspondence, topographic variability, and predictive utility for cognitive traits.

This study examines behavioral adaptation during cognitive-motor dual-tasking in older and younger adults using dynamic functional connectivity analysis.

This paper maps the diversity of dynamic functional connectivity research in Parkinson's disease and provides an interactive tool to explore study designs and findings.

This study compares latent factors from functional connectivity and morphometric measures in ASD, finding that morphometric factors better correlate with behavioral traits and neurodevelopmental mechanisms.

The paper compares sampling methods for selecting representative pipelines in multiverse analyses of EEG data to assess their impact on result robustness.

This paper reviews preprocessing choices for P3 ERP analysis in mobile EEG, finds inconsistent reporting, and provides an interactive tool for exploring and comparing preprocessing strategies.

This paper reviews analytical choices in graph-based fMRI to improve replicability and develops a decision support tool for robustness analysis.