The challenges and prospects of brain-based prediction of behaviour
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …
Recently, the predictive modelling approach has become increasingly popular, largely due …
[HTML][HTML] Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities
Electroencephalographic (EEG) methods have great potential to serve both basic and
clinical science approaches to understand individual differences in human neural function …
clinical science approaches to understand individual differences in human neural function …
[HTML][HTML] A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Abstract Purpose To review eXplainable Artificial Intelligence/(XAI) methods available for
medical imaging/(MI). Method A scoping review was conducted following the Joanna Briggs …
medical imaging/(MI). Method A scoping review was conducted following the Joanna Briggs …
Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer's disease brain proteomic …
Advancements in omics methodologies have generated a wealth of high-dimensional
Alzheimer's disease (AD) datasets, creating significant opportunities and challenges for data …
Alzheimer's disease (AD) datasets, creating significant opportunities and challenges for data …
[HTML][HTML] Explainable AI models for predicting drop coalescence in microfluidics device
In the field of chemical engineering, understanding the dynamics and probability of drop
coalescence is not just an academic pursuit, but a critical requirement for advancing process …
coalescence is not just an academic pursuit, but a critical requirement for advancing process …
Predicting executive functioning from functional brain connectivity: network specificity and age effects
Healthy aging is associated with altered executive functioning (EF). Earlier studies found
age-related differences in EF performance to be partially accounted for by changes in …
age-related differences in EF performance to be partially accounted for by changes in …
Prediction of moment‐by‐moment heart rate and skin conductance changes in the context of varying emotional arousal
Autonomic nervous system (ANS) responses such as heart rate (HR) and galvanic skin
responses (GSR) have been linked with cerebral activity in the context of emotion. Although …
responses (GSR) have been linked with cerebral activity in the context of emotion. Although …
Longitudinally stable, brain‐based predictive models mediate the relationships between childhood cognition and socio‐demographic, psychological and genetic …
Cognitive abilities are one of the major transdiagnostic domains in the National Institute of
Mental Health's Research Domain Criteria (RDoC). Following RDoC's integrative approach …
Mental Health's Research Domain Criteria (RDoC). Following RDoC's integrative approach …
Brain age has limited utility as a biomarker for capturing fluid cognition in older individuals
A Tetereva, N Pat - Elife, 2024 - elifesciences.org
One well-known biomarker candidate that supposedly helps capture fluid cognition is Brain
Age, or a predicted value based on machine-learning models built to predict chronological …
Age, or a predicted value based on machine-learning models built to predict chronological …
[HTML][HTML] Stimulus shapes strategy: Effects of stimulus characteristics and individual differences in academic achievement on the neural mechanisms engaged during …
DR Leopold, H Kim, KW Carlson, MA Rowe… - Developmental …, 2024 - Elsevier
This fMRI study of 126 youth explored whether the neural mechanisms underlying the N-
back task, commonly used to examine executive control over the contents of working …
back task, commonly used to examine executive control over the contents of working …