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View article: Generating synthetic task-based brain fingerprints for population neuroscience using deep learning
Generating synthetic task-based brain fingerprints for population neuroscience using deep learning Open
Task-based functional magnetic resonance imaging (fMRI) reveals individual differences in neural correlates of cognition but faces scalability challenges due to cognitive demands, protocol variability, and limited task coverage in large da…
View article: Linking brain structure to stress reactivity: Cingulate surface area predicts acute cortisol responses
Linking brain structure to stress reactivity: Cingulate surface area predicts acute cortisol responses Open
Background Altered stress responses are closely linked to mental disorders, but the role of brain structure in acute cortisol responses to psychosocial stress remains underexplored, particularly in healthy individuals. Previous studies, wi…
View article: The Ups and Downs of Brain Stress: Extending the Triple Network Hypothesis
The Ups and Downs of Brain Stress: Extending the Triple Network Hypothesis Open
Based on our findings we suggest a new, differentiated triple network hypothesis of psychosocial stress processing. Reactivity in SN and DMN structures is associated with hormonal, cardiovascular, and affective stress responses, whereas CE…
View article: Framework for Brain-Derived Dimensions of Psychopathology
Framework for Brain-Derived Dimensions of Psychopathology Open
Importance Psychiatric diagnoses are not defined by neurobiological measures hindering the development of therapies targeting mechanisms underlying mental illness. Research confined to diagnostic boundaries yields heterogeneous biological …
View article: NBS-Predict: An Easy-to-Use Toolbox for Connectome-Based Machine Learning
NBS-Predict: An Easy-to-Use Toolbox for Connectome-Based Machine Learning Open
NBS-Predict is a prediction-based extension of the Network-based Statistic (NBS) approach, which aims to alleviate the curse of dimensionality, lack of interpretability, and problem of generalizability when analyzing brain connectivity. NB…
View article: Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning
Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning Open
Task-based functional magnetic resonance imaging (tb-fMRI) reveals individual differences in the neural basis of cognitive functions by linking specific tasks to neural responses. However, scaling tb-fMRI to population-level studies is cha…
View article: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: Author response: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
Author response: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: Reviewer #2 (Public Review): A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
Reviewer #2 (Public Review): A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: Reviewer #1 (Public Review): A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
Reviewer #1 (Public Review): A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: Reviewer #3 (Public Review): A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
Reviewer #3 (Public Review): A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use Open
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairm…
View article: NBS-Predict: An easy-to-use toolbox for connectome-based machine learning
NBS-Predict: An easy-to-use toolbox for connectome-based machine learning Open
NBS-Predict is a prediction-based extension of the Network-based Statistic (NBS, Zalesky et al., 2010) approach, which aims to alleviate the curse of dimensionality, lack of interpretability, and problem of generalizability when analyzing …
View article: NBS-Predict: An easy-to-use toolbox for connectome-based machine learning
NBS-Predict: An easy-to-use toolbox for connectome-based machine learning Open
This chapter provides an example-based walkthrough for the novel connectome-based predictive method of NBS-Predict. We present two application scenarios with freely available data covering two main prediction problems in machine learning: …
View article: NBS-Predict: A prediction-based extension of the network-based statistic
NBS-Predict: A prediction-based extension of the network-based statistic Open
Graph models of the brain hold great promise as a framework to study functional and structural brain connectivity across scales and species. The network-based statistic (NBS) is a well-known tool for performing statistical inference on bra…
View article: Decreased Functional Connectivity in Schizophrenia: The Relationship Between Social Functioning and Graph Theoretical Network Measures
Decreased Functional Connectivity in Schizophrenia: The Relationship Between Social Functioning and Graph Theoretical Network Measures Open
Event Abstract Back to Event Decreased Functional Connectivity in Schizophrenia: The Relationship Between Social Functioning and Graph Theoretical Network Measures Burak Erdeniz1*, Emin Serin1, Yelda İbadi2 and Cumhur Tas2 1 İzmir Universi…