Neuroimaging biomarkers for drug discovery and development in Schizophrenia
KH Preller, J Scholpp, A Wunder, H Rosenbrock - Biological Psychiatry, 2024 - Elsevier
Schizophrenia is a chronic mental illness affecting up to 1% of the population. While
therapies for positive symptoms are available and efficacious, cognitive and negative …
therapies for positive symptoms are available and efficacious, cognitive and negative …
[HTML][HTML] Growing Up Together in Society (GUTS): A team science effort to predict societal trajectories in adolescence and young adulthood
Our society faces a great diversity of opportunities for youth. The 10-year Growing Up
Together in Society (GUTS) program has the long-term goal to understand which …
Together in Society (GUTS) program has the long-term goal to understand which …
[HTML][HTML] Computational limits to the legibility of the imaged human brain
Our knowledge of the organisation of the human brain at the population-level is yet to
translate into power to predict functional differences at the individual-level, limiting clinical …
translate into power to predict functional differences at the individual-level, limiting clinical …
Neuroanatomical, transcriptomic, and molecular correlates of math ability and their prognostic value for predicting learning outcomes
Foundational mathematical abilities, acquired in early childhood, are essential for success in
our technology-driven society. Yet, the neurobiological mechanisms underlying individual …
our technology-driven society. Yet, the neurobiological mechanisms underlying individual …
[HTML][HTML] Autoimmune-associated epilepsy–a challenging concept
N Melzer, F Rosenow - Seizure: European Journal of Epilepsy, 2024 - Elsevier
Abstract The current International League Against Epilepsy (ILAE) definition and
classification guidelines for the first time introduced the category of immune-mediated focal …
classification guidelines for the first time introduced the category of immune-mediated focal …
[HTML][HTML] Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models
The fast-paced development of machine learning (ML) and its increasing adoption in
research challenge researchers without extensive training in ML. In neuroscience, ML can …
research challenge researchers without extensive training in ML. In neuroscience, ML can …
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance
We propose a geometric deep-learning-based framework, TractGeoNet, for performing
regression using diffusion magnetic resonance imaging (dMRI) tractography and associated …
regression using diffusion magnetic resonance imaging (dMRI) tractography and associated …
Prediction of image interpretation cognitive ability under different mental workloads: a task-state fMRI study
B Li, L Tong, C Zhang, P Chen, L Wang… - Cerebral Cortex, 2024 - academic.oup.com
Visual imaging experts play an important role in multiple fields, and studies have shown that
the combination of functional magnetic resonance imaging and machine learning …
the combination of functional magnetic resonance imaging and machine learning …
Temporal Variability of Brain-Behavior Relationships in Fine-Scale Dynamics of Edge Time Series
Most work on functional connectivity (FC) in neuroimaging data prefers longer scan sessions
or greater subject count to improve reliability of brain-behavior relationships or predictive …
or greater subject count to improve reliability of brain-behavior relationships or predictive …
Improving Predictability, Test-Retest Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking
A Tetereva, A Knodt, T Melzer, W van der Vliet… - bioRxiv, 2024 - biorxiv.org
Brain-wide association studies (BWASs) have attempted to relate cognitive abilities with
brain phenotypes, but have been challenged by issues such as predictability, test-retest …
brain phenotypes, but have been challenged by issues such as predictability, test-retest …