Computational psychiatry as a bridge from neuroscience to clinical applications
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 …
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 …
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 …
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 …
antidepressant treatments has yielded low response and remission rates in Major …
[HTML][HTML] Stratified psychiatry: Tomorrow's precision psychiatry?
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' …
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 …
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
Currently, the diagnosis of major depressive disorder (MDD) and its subtypes is mainly
based on subjective assessments and self-reported measures. However, objective criteria …
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 …
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 …
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 …
heterogeneity, possibly explaining why not all patients benefit from a given treatment. As a …