Synaptic plasticity and depression: new insights from stress and rapid-acting antidepressants

RS Duman, GK Aghajanian, G Sanacora, JH Krystal - Nature medicine, 2016 - nature.com
Depression is a common, devastating illness. Current pharmacotherapies help many
patients, but high rates of a partial response or no response, and the delayed onset of the …

[HTML][HTML] Amygdala circuit substrates for stress adaptation and adversity

WH Zhang, JY Zhang, A Holmes, BX Pan - Biological psychiatry, 2021 - Elsevier
Brain systems that promote the maintenance of homeostasis in face of stress have
significant adaptive value. A growing body of work across species demonstrates a critical …

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 …

Cross-trial prediction of treatment outcome in depression: a machine learning approach

AM Chekroud, RJ Zotti, Z Shehzad… - The Lancet …, 2016 - thelancet.com
Background Antidepressant treatment efficacy is low, but might be improved by matching
patients to interventions. At present, clinicians have no empirically validated mechanisms to …

Glutamate and gamma-aminobutyric acid systems in the pathophysiology of major depression and antidepressant response to ketamine

MS Lener, MJ Niciu, ED Ballard, M Park, LT Park… - Biological …, 2017 - Elsevier
In patients with major depressive disorder or bipolar disorder, abnormalities in excitatory
and/or inhibitory neurotransmission and neuronal plasticity may lead to aberrant functional …

Transcranial direct current stimulation: a roadmap for research, from mechanism of action to clinical implementation

HW Chase, MA Boudewyn, CS Carter… - Molecular psychiatry, 2020 - nature.com
Transcranial direct current stimulation (tDCS) is a promising method for altering the function
of neural systems, cognition, and behavior. Evidence is emerging that it can also influence …

[HTML][HTML] From serotonin to neuroplasticity: evolvement of theories for major depressive disorder

B Liu, J Liu, M Wang, Y Zhang, L Li - Frontiers in cellular …, 2017 - frontiersin.org
The serotonin hypothesis of depression has played an important role in the history of
psychiatry, yet it has also been criticized for the delayed onset and inadequate efficacy of …

[HTML][HTML] How inflammation affects the brain in depression: a review of functional and structural MRI studies

KM Han, BJ Ham - Journal of clinical neurology (Seoul, Korea), 2021 - ncbi.nlm.nih.gov
This narrative review discusses how peripheral and central inflammation processes affect
brain function and structure in depression, and reports on recent peripheral inflammatory …

Machine learning and big data in psychiatry: toward clinical applications

RB Rutledge, AM Chekroud, QJM Huys - Current opinion in neurobiology, 2019 - Elsevier
Highlights•The combination of data-driven machine learning and theory-driven
computational models holds great promise for psychiatry.•Machine-learning analyses of …

Psychoradiology: the frontier of neuroimaging in psychiatry

S Lui, XJ Zhou, JA Sweeney, Q Gong - Radiology, 2016 - pubs.rsna.org
Unlike neurologic conditions, such as brain tumors, dementia, and stroke, the neural
mechanisms for all psychiatric disorders remain unclear. A large body of research obtained …