Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis
A Khosla, P Khandnor, T Chand - Biocybernetics and Biomedical …, 2022 - Elsevier
Depression is one of the significant contributors to the global burden disease, affecting
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …
[HTML][HTML] Progress and challenges in research of the mechanisms of anhedonia in major depressive disorder
YA Su, T Si - General psychiatry, 2022 - ncbi.nlm.nih.gov
There is an increasing heavy disease burden of major depressive disorder (MDD) globally.
Both high diagnostic heterogeneity and complicated pathological mechanisms of MDD pose …
Both high diagnostic heterogeneity and complicated pathological mechanisms of MDD pose …
Multisite comparison of MRI defacing software across multiple cohorts
AE Theyers, M Zamyadi, M O'Reilly, R Bartha… - Frontiers in …, 2021 - frontiersin.org
With improvements to both scan quality and facial recognition software, there is an
increased risk of participants being identified by a 3D render of their structural neuroimaging …
increased risk of participants being identified by a 3D render of their structural neuroimaging …
Use of machine learning for predicting escitalopram treatment outcome from electroencephalography recordings in adult patients with depression
Importance Social and economic costs of depression are exacerbated by prolonged periods
spent identifying treatments that would be effective for a particular patient. Thus, a tool that …
spent identifying treatments that would be effective for a particular patient. Thus, a tool that …
Effects of CYP2C19 and CYP2D6 gene variants on escitalopram and aripiprazole treatment outcome and serum levels: results from the CAN-BIND 1 study
Cytochrome P450 drug-metabolizing enzymes may contribute to interindividual differences
in antidepressant outcomes. We investigated the effects of CYP2C19 and CYP2D6 gene …
in antidepressant outcomes. We investigated the effects of CYP2C19 and CYP2D6 gene …
Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response
VS Marshe, M Maciukiewicz, AC Hauschild… - Translational …, 2021 - nature.com
Antidepressant outcomes in older adults with depression is poor, possibly because of
comorbidities such as cerebrovascular disease. Therefore, we leveraged multiple genome …
comorbidities such as cerebrovascular disease. Therefore, we leveraged multiple genome …
The Canadian biomarker integration network in depression (CAN-BIND): magnetic resonance imaging protocols
GM MacQueen, S Hassel, SR Arnott, J Addington… - Journal of Psychiatry and …, 2019 - jpn.ca
Studies of clinical populations that combine MRI data generated at multiple sites are
increasingly common. The Canadian Biomarker Integration Network in Depression (CAN …
increasingly common. The Canadian Biomarker Integration Network in Depression (CAN …
Clinical, behavioral, and neural measures of reward processing correlate with escitalopram response in depression: a Canadian Biomarker Integration Network in …
K Dunlop, SJ Rizvi, SH Kennedy, S Hassel… - …, 2020 - nature.com
Anhedonia is thought to reflect deficits in reward processing that are associated with
abnormal activity in mesocorticolimbic brain regions. It is expressed clinically as a deficit in …
abnormal activity in mesocorticolimbic brain regions. It is expressed clinically as a deficit in …
Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression
S Prompiengchai, K Dunlop - Neuropsychopharmacology, 2024 - nature.com
Abstract Treatment outcomes widely vary for individuals diagnosed with major depressive
disorder, implicating a need for deeper understanding of the biological mechanisms …
disorder, implicating a need for deeper understanding of the biological mechanisms …
Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report
One of the biggest challenges in treating depression is the heterogeneous and qualitative
nature of its clinical presentations. This highlights the need to find quantitative molecular …
nature of its clinical presentations. This highlights the need to find quantitative molecular …