Treatment selection in depression
ZD Cohen, RJ DeRubeis - Annual Review of Clinical …, 2018 - annualreviews.org
Mental health researchers and clinicians have long sought answers to the question “What
works for whom?” The goal of precision medicine is to provide evidence-based answers to …
works for whom?” The goal of precision medicine is to provide evidence-based answers to …
Machine learning and big data in psychiatry: toward clinical applications
Highlights•The combination of data-driven machine learning and theory-driven
computational models holds great promise for psychiatry.•Machine-learning analyses of …
computational models holds great promise for psychiatry.•Machine-learning analyses of …
Prediction complements explanation in understanding the developing brain
A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …
behavior. Although we have made significant progress towards this goal, reliance on group …
Quantifying performance of machine learning methods for neuroimaging data
Abstract Machine learning is increasingly being applied to neuroimaging data. However,
most machine learning algorithms have not been designed to accommodate neuroimaging …
most machine learning algorithms have not been designed to accommodate neuroimaging …
Real-world stress resilience is associated with the responsivity of the locus coeruleus
M Grueschow, N Stenz, H Thörn, U Ehlert… - Nature …, 2021 - nature.com
Individuals may show different responses to stressful events. Here, we investigate the
neurobiological basis of stress resilience, by showing that neural responsitivity of the …
neurobiological basis of stress resilience, by showing that neural responsitivity of the …
Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
A Khosla, P Khandnor, T Chand - Biocybernetics and Biomedical …, 2022 - Elsevier
Depression is one of the significant contributors to the global burden disease, affecting
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …
[HTML][HTML] Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis
Brain-predicted age difference scores are calculated by subtracting chronological age from
'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …
'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …
What big data can do for treatment in psychiatry
Highlights•Machine learning offers new scope for identifying novel and robust predictors of
psychiatric treatment response.•Validation of putative biomarkers in unseen data is essential …
psychiatric treatment response.•Validation of putative biomarkers in unseen data is essential …
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
Adults with attention‐deficit/hyperactivity disorder (ADHD) have been described as having
altered resting‐state electroencephalographic (EEG) spectral power and theta/beta ratio …
altered resting‐state electroencephalographic (EEG) spectral power and theta/beta ratio …
Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms
Objective Altered brain functional connectivity has been shown in youth with attention-
deficit/hyperactivity disorder (ADHD). However, relatively little is known about functional …
deficit/hyperactivity disorder (ADHD). However, relatively little is known about functional …