New and emerging approaches to treat psychiatric disorders
Psychiatric disorders are highly prevalent, often devastating diseases that negatively impact
the lives of millions of people worldwide. Although their etiological and diagnostic …
the lives of millions of people worldwide. Although their etiological and diagnostic …
Major depressive disorder: advances in neuroscience research and translational applications
Z Li, M Ruan, J Chen, Y Fang - Neuroscience bulletin, 2021 - Springer
Major depressive disorder (MDD), also referred to as depression, is one of the most common
psychiatric disorders with a high economic burden. The etiology of depression is still not …
psychiatric disorders with a high economic burden. The etiology of depression is still not …
Building a science of individual differences from fMRI
To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …
brain function through averaging data from multiple subjects. Given rapid developments in …
Machine learning in major depression: From classification to treatment outcome prediction
Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …
morbidity, and affects about 10% of the population worldwide. Currently, there are no …
Precision psychiatry: a neural circuit taxonomy for depression and anxiety
LM Williams - The Lancet Psychiatry, 2016 - thelancet.com
Although there have been tremendous advances in the understanding of human
dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain …
dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain …
Targeting glutamate signalling in depression: progress and prospects
Major depressive disorder (MDD) is severely disabling, and current treatments have limited
efficacy. The glutamate N-methyl-d-aspartate receptor (NMDAR) antagonist ketamine was …
efficacy. The glutamate N-methyl-d-aspartate receptor (NMDAR) antagonist ketamine was …
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 …
Functional connectivity of the subcallosal cingulate cortex and differential outcomes to treatment with cognitive-behavioral therapy or antidepressant medication for …
BW Dunlop, JK Rajendra… - American Journal of …, 2017 - Am Psychiatric Assoc
Objective: The purpose of this article was to inform the first-line treatment choice between
cognitive-behavioral therapy (CBT) or an antidepressant medication for treatment-naive …
cognitive-behavioral therapy (CBT) or an antidepressant medication for treatment-naive …
Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis
F Long, Y Chen, Q Zhang, Q Li, Y Wang, Y Wang… - Molecular …, 2024 - nature.com
Recent studies have provided promising evidence that neuroimaging data can predict
treatment outcomes for patients with major depressive disorder (MDD). As most of these …
treatment outcomes for patients with major depressive disorder (MDD). As most of these …
Defining biotypes for depression and anxiety based on large‐scale circuit dysfunction: A theoretical review of the evidence and future directions for clinical translation
LM Williams - Depression and anxiety, 2017 - Wiley Online Library
Complex emotional, cognitive and self‐reflective functions rely on the activation and
connectivity of large‐scale neural circuits. These circuits offer a relevant scale of focus for …
connectivity of large‐scale neural circuits. These circuits offer a relevant scale of focus for …