Building better biomarkers: brain models in translational neuroimaging
Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a developing synergy between emerging analysis techniques and …
public health. However, a developing synergy between emerging analysis techniques and …
A scoping review of machine learning in psychotherapy research
Abstract Machine learning (ML) offers robust statistical and probabilistic techniques that can
help to make sense of large amounts of data. This scoping review paper aims to broadly …
help to make sense of large amounts of data. This scoping review paper aims to broadly …
The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
[图书][B] The neuroscience of psychotherapy: Healing the social brain (Norton Series on Interpersonal Neurobiology)
L Cozolino - 2017 - books.google.com
An update to the classic text that links neuroscience and human behavior in the context of
therapy. This groundbreaking book explores the recent revolution in psychotherapy that has …
therapy. This groundbreaking book explores the recent revolution in psychotherapy that has …
Machine learning approaches for clinical psychology and psychiatry
Machine learning approaches for clinical psychology and psychiatry explicitly focus on
learning statistical functions from multidimensional data sets to make generalizable …
learning statistical functions from multidimensional data sets to make generalizable …
[HTML][HTML] Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies
Cognitive-behavioural therapy (CBT) is the first line of treatment for several mental health
disorders. However, not all patients show clinical improvements after receiving CBT …
disorders. However, not all patients show clinical improvements after receiving CBT …
[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 …
Neurobiology of the major psychoses: a translational perspective on brain structure and function—the FOR2107 consortium
Genetic (G) and environmental (E) factors are involved in the etiology and course of the
major psychoses (MP), ie major depressive disorder (MDD), bipolar disorder (BD) …
major psychoses (MP), ie major depressive disorder (MDD), bipolar disorder (BD) …
Biological markers for anxiety disorders, OCD and PTSD–a consensus statement. Part I: neuroimaging and genetics
B Bandelow, D Baldwin, M Abelli… - The World Journal of …, 2016 - Taylor & Francis
Objectives: Biomarkers are defined as anatomical, biochemical or physiological traits that
are specific to certain disorders or syndromes. The objective of this paper is to summarise …
are specific to certain disorders or syndromes. The objective of this paper is to summarise …
Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach
Objective A growing body of evidence has put forward clinical risk factors associated with
patients with mood disorders that attempt suicide. However, what is not known is how to …
patients with mood disorders that attempt suicide. However, what is not known is how to …