Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies

N Cai, KW Choi, EI Fried - Human molecular genetics, 2020 - academic.oup.com
With progress in genome-wide association studies of depression, from identifying zero hits
in~ 16 000 individuals in 2013 to 223 hits in more than a million individuals in 2020 …

Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics

AM Buch, C Liston - Neuropsychopharmacology, 2021 - nature.com
Depression is a heterogeneous and etiologically complex psychiatric syndrome, not a
unitary disease entity, encompassing a broad spectrum of psychopathology arising from …

The promise of machine learning in predicting treatment outcomes in psychiatry

AM Chekroud, J Bondar, J Delgadillo… - World …, 2021 - Wiley Online Library
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 …

Measuring, predicting, and tracking change in psychotherapy

W Lutz, K de Jong, JA Rubel… - Bergin and Garfield's …, 2021 - books.google.com
This chapter addresses fundamental issues of change in psychotherapy: how to measure,
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …

Adoption of machine learning in pharmacometrics: An overview of recent implementations and their considerations

A Janssen, FC Bennis, RAA Mathôt - Pharmaceutics, 2022 - mdpi.com
Pharmacometrics is a multidisciplinary field utilizing mathematical models of physiology,
pharmacology, and disease to describe and quantify the interactions between medication …

[HTML][HTML] Early warning signals and critical transitions in psychopathology: Challenges and recommendations

MA Helmich, M Olthof, AJ Oldehinkel, M Wichers… - Current Opinion in …, 2021 - Elsevier
Empirical evidence is mounting that monitoring momentary experiences for the presence of
early warning signals (EWS) may allow for personalized predictions of meaningful symptom …

[HTML][HTML] Predicting treatment outcome in depression: an introduction into current concepts and challenges

N Rost, EB Binder, TM Brückl - European Archives of Psychiatry and …, 2023 - Springer
Improving response and remission rates in major depressive disorder (MDD) remains an
important challenge. Matching patients to the treatment they will most likely respond to …

[HTML][HTML] Systematic review of functional MRI applications for psychiatric disease subtyping

L Miranda, R Paul, B Puetz, 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 …

[HTML][HTML] Criterion and construct validity of the Beck Depression Inventory (BDI-II) to measure depression in patients with cancer: The contribution of somatic items

S Almeida, M Camacho, JB Barahona-Corrêa… - International Journal of …, 2023 - Elsevier
Abstract Background/Objective Screening for depression in patients with cancer can be
difficult due to overlap between symptoms of depression and cancer. We assessed validity …

[HTML][HTML] Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter …

N Rost, TM Brückl… - BMC medical …, 2022 - bmcmedinformdecismak …
Predicting treatment outcome in major depressive disorder (MDD) remains an essential
challenge for precision psychiatry. Clinical prediction models (CPMs) based on supervised …