ArticleEuropean archives of psychiatry and clinical neuroscience2019
Combined cognitive, psychomotor and electrophysiological biomarkers in major depressive disorder.
Article in European archives of psychiatry and clinical neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Resting-state EEG activity in depression: a systematic review and meta-analysis.NeuroImage. Clinical · 2026Pooled it
- Actigraphically measured psychomotor slowing in depression: systematic review and meta-analysis.Psychological medicine · 2022Pooled it
- Deficit in attentional capture by social-value related conditioned stimuli - a new perspective to understand the social-reward learning disorders among individuals with depressive symptoms.Frontiers in psychiatry · 2026Article
- AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis.NPJ digital medicine · 2025Article
- The Clinical Utility of Biomarkers in Diagnosing Major Depressive Disorder in Adults: A Systematic Review of Literature From 2013 to 2023.Psychiatry investigation · 2025Article
- Transcranial alternating current stimulation in affecting cognitive impairment in psychiatric disorders: a review.European archives of psychiatry and clinical neuroscience · 2024Review
- [Applications and challenges of wearable electroencephalogram signals in depression recognition and personalized music intervention].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- Functional role of frontal electroencephalogram alpha asymmetry in the resting state in patients with depression: A review.World journal of clinical cases · 2023Review
- Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior.Frontiers in psychiatry · 2023Article
- The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.Biomedicines · 2022Review
- Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders.International journal of molecular sciences · 2022Review
- Acute electroencephalography responses during incremental exercise in those with mental illness.Frontiers in psychiatry · 2022Article
- Cognitive Impairment and Neurocognitive Profiles in Major Depression-A Clinical Perspective.Frontiers in psychiatry · 2022Review
- Anxiolytic Effect of Carvedilol in Chronic Unpredictable Stress Model.Oxidative medicine and cellular longevity · 2022Article
- Article
- Pathophysiology of Major Depression by Clinical Stages.Frontiers in psychology · 2021Article
- Mood, psychomotor, and cognitive function in major depressive disorder: from biomarkers to rapid-acting antidepressants.European archives of psychiatry and clinical neuroscience · 2019Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis of major depressive disorder (MDD) should be based on multimodal evidence, because MDD not only affects mood, but also psychomotor and cognitive functions. Clinical markers such as executive dysfunctions and a reduction in daily motor activity have been observed in MDD. Neurophysiological biomarkers have also been described. In this study, we investigate the utility of combining biomarkers related to executive dysfunctions, motor activity, neurophysiological patterns (i.e. alpha power asymmetry and EEG-vigilance as indicators of brain arousal), and the interaction of these parameters in the diagnosis of MDD. Twenty (female: 11) patients with MDD (age: 51.05 ± 10.50) and 20 (female: 13) healthy controls (HC; age: 47.15 ± 12.57) underwent a 10-min resting EEG. Executive dysfunctions were assessed using the Trail Making Test B (TMT B). Motor activity was analysed by actigraphy measurements. MDD patients displayed significant impairments in executive functions and reduced daily motor activity. In the EEG, MDD patients showed more right than left frontal activity and lower brain arousal relative to HC. TMT B and asymmetrical frontal alpha power alone discriminated between MDD patients and HC with an accuracy of 78%. The interaction of motor activity and the EEG-vigilance stage alongside TMT B increased the accuracy of the discrimination test to 81%. This improved accuracy suggests that the combination of these biomarkers in a discriminant analysis resulted in a more reliable identification of MDD patients.
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