kirstenhilger Goto Github PK
Name: Kirsten Hilger
Type: User
Company: University Würzburg
Bio: Neurobiological Bases of Intelligence and Attention, Fear of Pain, Psychology, Neuroscience, Graph Theory, Neural Networks
Name: Kirsten Hilger
Type: User
Company: University Würzburg
Bio: Neurobiological Bases of Intelligence and Attention, Fear of Pain, Psychology, Neuroscience, Graph Theory, Neural Networks
Analysis Code for Hilger & Fiebach (2018): ADHD Symptoms are Associated with the Modular Structure of Intrinsic Brain Networks in a Representative Sample of Healthy Adults, doi: https://doi.org/10.1101/505891, https://www.biorxiv.org/content/10.1101/505891v1.
Preprocessing and further analyses pipeline of Hilger et al. (submitted 2020): "Neurophysiological Signatures of Attentional Problems and Executive Functioning in Mid-Childhood: A Dimensional Perspective on ADHD Symptoms."
Contains all analysis code for the publication: Wehrheim, M. H., Faskowitz, J., Sporns, O., Fiebach, C. J., Kaschube, M., & Hilger, K. (2023). Few Temporally Distributed Brain States Predict Human Cognitive Ability. NeuroImage, 120246. https://doi.org/10.1016/j.neuroimage.2023.120246
Temporal Stability of Modular Brain Network Organization - and its Relationship with Individual Differences (e.g., in General Intelligence)
Frankfurt Psychology Department Open Science Initiative
The repository contains scripts for the analyses used in the paper "Can machine learning-based predictive modelling improve our understanding of human cognition?" coauthored by Jonas A. Thiele, Joshua Faskowitz, Olaf Sporns, and Kirsten Hilger.
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