Transdiagnostic connectome-based prediction of craving
Objective: Craving is a central construct in the study of motivation and human behavior and
is also a clinical symptom of substance and non-substance-related addictive disorders …
is also a clinical symptom of substance and non-substance-related addictive disorders …
Association of neural reward circuitry function with response to psychotherapy in youths with anxiety disorders
SL Sequeira, JS Silk, CD Ladouceur… - American Journal of …, 2021 - Am Psychiatric Assoc
Objective: Identifying neural correlates of response to psychological treatment may inform
targets for interventions designed to treat psychiatric disorders. This study examined the …
targets for interventions designed to treat psychiatric disorders. This study examined the …
An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank
Functional magnetic resonance imaging (fMRI) has been widely used to identify brain
regions linked to critical functions, such as language and vision, and to detect tumors …
regions linked to critical functions, such as language and vision, and to detect tumors …
Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes
HW Yeung, A Stolicyn, CR Buchanan… - Human Brain …, 2023 - Wiley Online Library
There is an increasing expectation that advanced, computationally expensive machine
learning (ML) techniques, when applied to large population‐wide neuroimaging datasets …
learning (ML) techniques, when applied to large population‐wide neuroimaging datasets …
[HTML][HTML] Resample aggregating improves the generalizability of connectome predictive modeling
It is a longstanding goal of neuroimaging to produce reliable, generalizable models of brain
behavior relationships. More recently, data driven predictive models have become popular …
behavior relationships. More recently, data driven predictive models have become popular …
[HTML][HTML] Generalizing prediction of task-evoked brain activity across datasets and populations
Predictions of task-based functional magnetic resonance imaging (fMRI) from task-free
resting-state (rs) fMRI have gained popularity over the past decade. This method holds a …
resting-state (rs) fMRI have gained popularity over the past decade. This method holds a …
[HTML][HTML] Predicting individual traits from unperformed tasks
Relating individual differences in cognitive traits to brain functional organization is a long-
lasting challenge for the neuroscience community. Individual intelligence scores were …
lasting challenge for the neuroscience community. Individual intelligence scores were …
Machine learning and prediction in fetal, infant, and toddler neuroimaging: A review and primer
Predictive models in neuroimaging are increasingly designed with the intent to improve risk
stratification and support interventional efforts in psychiatry. Many of these models have …
stratification and support interventional efforts in psychiatry. Many of these models have …
[HTML][HTML] Smooth graph learning for functional connectivity estimation
Functional connectivity (FC) estimated from functional magnetic resonance imaging (fMRI)
signals is important in understanding neural representation and information processing in …
signals is important in understanding neural representation and information processing in …
[HTML][HTML] GEFF: Graph embedding for functional fingerprinting
It has been well established that Functional Connectomes (FCs), as estimated from
functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an …
functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an …