[HTML][HTML] One size does not fit all: methodological considerations for brain-based predictive modeling in psychiatry
Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
Predicting attention across time and contexts with functional brain connectivity
H Song, MD Rosenberg - Current Opinion in Behavioral Sciences, 2021 - Elsevier
Highlights•Functional connectivity-based models predict individual differences in attentional
abilities.•Time-varying functional connectivity predicts changes in attentional states during …
abilities.•Time-varying functional connectivity predicts changes in attentional states during …
Sex differences in default mode network connectivity in healthy aging adults
Women show an increased lifetime risk of Alzheimer's disease (AD) compared with men.
Characteristic brain connectivity changes, particularly within the default mode network …
Characteristic brain connectivity changes, particularly within the default mode network …
[HTML][HTML] Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol
Performing functional magnetic resonance imaging (fMRI) scans of children can be a difficult
task, as participants tend to move while being scanned. Head motion represents a …
task, as participants tend to move while being scanned. Head motion represents a …
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 …
Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder
BackgroundTreatment non-response and recurrence are the main sources of disease
burden in major depressive disorder (MDD). However, little is known about its …
burden in major depressive disorder (MDD). However, little is known about its …
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging
Predictive modeling of neuroimaging data (predictive neuroimaging) for evaluating
individual differences in various behavioral phenotypes and clinical outcomes is of growing …
individual differences in various behavioral phenotypes and clinical outcomes is of growing …
Connectome-based prediction of eating disorder-associated symptomatology
BackgroundDespite increasing knowledge on the neuroimaging patterns of eating disorder
(ED) symptoms in non-clinical populations, studies using whole-brain machine learning to …
(ED) symptoms in non-clinical populations, studies using whole-brain machine learning to …
A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth
Difficulty with attention is an important symptom in many conditions in psychiatry, including
neurodiverse conditions such as autism. There is a need to better understand the …
neurodiverse conditions such as autism. There is a need to better understand the …
[HTML][HTML] Brain connectivity in major depressive disorder: a precision component of treatment modalities?
A Tura, R Goya-Maldonado - Translational Psychiatry, 2023 - nature.com
Major depressive disorder (MDD) is a very prevalent mental disorder that imposes an
enormous burden on individuals, society, and health care systems. Most patients benefit …
enormous burden on individuals, society, and health care systems. Most patients benefit …