Computational psychiatry as a bridge from neuroscience to clinical applications

QJM Huys, TV Maia, MJ Frank - Nature neuroscience, 2016 - nature.com
Translating advances in neuroscience into benefits for patients with mental illness presents
enormous challenges because it involves both the most complex organ, the brain, and its …

[HTML][HTML] Accelerated TMS-moving quickly into the future of depression treatment

SJH Van Rooij, AR Arulpragasam… - …, 2024 - nature.com
Accelerated TMS is an emerging application of Transcranial Magnetic Stimulation (TMS)
aimed to reduce treatment length and improve response time. Extant literature generally …

Electroencephalographic biomarkers for treatment response prediction in major depressive illness: a meta-analysis

AS Widge, MT Bilge, R Montana… - American Journal of …, 2019 - Am Psychiatric Assoc
Objective: Reducing unsuccessful treatment trials could improve depression treatment.
Quantitative EEG (QEEG) may predict treatment response and is being commercially …

Neuroimaging biomarkers as predictors of treatment outcome in major depressive disorder

TM Fonseka, GM MacQueen, SH Kennedy - Journal of affective disorders, 2018 - Elsevier
Background Current practice for selecting pharmacological and non-pharmacological
antidepressant treatments has yielded low response and remission rates in Major …

[HTML][HTML] Stratified psychiatry: Tomorrow's precision psychiatry?

M Arns, H van Dijk, JJ Luykx, G van Wingen… - European …, 2022 - Elsevier
Here we review the paradigm-change from one-size-fits-all psychiatry to more personalized-
psychiatry, where we distinguish between 'precision psychiatry'and 'stratified psychiatry' …

[HTML][HTML] The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled …

M Browning, AC Bilderbeck, R Dias… - …, 2021 - nature.com
Depressed patients often do not respond to the first antidepressant prescribed, resulting in
sequential trials of different medications. Personalised medicine offers a means of reducing …

Discriminative power of EEG-based biomarkers in major depressive disorder: A systematic review

C Greco, O Matarazzo, G Cordasco, A Vinciarelli… - Ieee …, 2021 - ieeexplore.ieee.org
Currently, the diagnosis of major depressive disorder (MDD) and its subtypes is mainly
based on subjective assessments and self-reported measures. However, objective criteria …

[HTML][HTML] Predicting treatment response to antidepressant medication using early changes in emotional processing

M Browning, J Kingslake, CT Dourish… - European …, 2019 - Elsevier
Antidepressants must be taken for weeks before response can be assessed with many
patients not responding to the first medication prescribed. This often results in long delays …

[HTML][HTML] Auditory event-related potentials in separating patients with depressive disorders and non-depressed controls: a narrative review

ES Kangas, E Vuoriainen, S Lindeman… - International Journal of …, 2022 - Elsevier
This narrative review brings together the findings regarding the differences in the auditory
event-related potentials (ERPs) between patients with depressive disorder and non …

[HTML][HTML] Brainmarker-I differentially predicts remission to various attention-deficit/hyperactivity disorder treatments: a discovery, transfer, and blinded validation study

H Voetterl, G van Wingen, G Michelini… - Biological Psychiatry …, 2023 - Elsevier
Background Attention-deficit/hyperactivity disorder is characterized by neurobiological
heterogeneity, possibly explaining why not all patients benefit from a given treatment. As a …