Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
[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 …
Multiscale neural gradients reflect transdiagnostic effects of major psychiatric conditions on cortical morphology
It is increasingly recognized that multiple psychiatric conditions are underpinned by shared
neural pathways, affecting similar brain systems. Here, we carried out a multiscale neural …
neural pathways, affecting similar brain systems. Here, we carried out a multiscale neural …
Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium
Using machine learning, we recently decomposed the neuroanatomical heterogeneity of
established schizophrenia to discover two volumetric subgroups—a 'lower brain …
established schizophrenia to discover two volumetric subgroups—a 'lower brain …
Systematic review of functional MRI applications for psychiatric disease subtyping
L Miranda, R Paul, B Pütz, N Koutsouleris… - Frontiers in …, 2021 - frontiersin.org
Background: Psychiatric disorders have been historically classified using symptom
information alone. Recently, there has been a dramatic increase in research interest not only …
information alone. Recently, there has been a dramatic increase in research interest not only …
Topics and trends in artificial intelligence assisted human brain research
Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field
with great interest, rich literature, and huge diversity. The diversity in research topics and …
with great interest, rich literature, and huge diversity. The diversity in research topics and …
[HTML][HTML] Neurobiologically based stratification of recent-onset depression and psychosis: identification of two distinct transdiagnostic phenotypes
Background Identifying neurobiologically based transdiagnostic categories of depression
and psychosis may elucidate heterogeneity and provide better candidates for predictive …
and psychosis may elucidate heterogeneity and provide better candidates for predictive …
Identification of transdiagnostic psychiatric disorder subtypes using unsupervised learning
Psychiatric disorders show heterogeneous symptoms and trajectories, with current nosology
not accurately reflecting their molecular etiology and the variability and symptomatic overlap …
not accurately reflecting their molecular etiology and the variability and symptomatic overlap …
Mental health in the UK Biobank: A roadmap to self‐report measures and neuroimaging correlates
RK Dutt, K Hannon, TO Easley, JC Griffis… - Human Brain …, 2022 - Wiley Online Library
Abstract The UK Biobank (UKB) is a highly promising dataset for brain biomarker research
into population mental health due to its unprecedented sample size and extensive …
into population mental health due to its unprecedented sample size and extensive …
Developmental cognitive neuroscience in the era of networks and big data: strengths, weaknesses, opportunities, and threats
DA Fair, NUF Dosenbach, AH Moore… - Annual Review of …, 2021 - annualreviews.org
Developmental cognitive neuroscience is being pulled in new directions by network science
and big data. Brain imaging [eg, functional magnetic resonance imaging (fMRI), functional …
and big data. Brain imaging [eg, functional magnetic resonance imaging (fMRI), functional …