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Je-Yeon Yun, Goomin Kwon, Miseon Shim, Seon-Min Kim, Seung-Hwan Lee, Sangshin Park
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Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
10.1016/j.ins.2017.06.027 · 2017
Two-channel EEG based diagnosis of panic disorder and major depressive disorder using machine learning and non-linear dynamical methods
10.1016/j.pscychresns.2023.111641 · 2023
Standardized tests of heart rate variability: normal ranges obtained from 309 healthy humans, and effects of age, gender, and heart rate
10.1007/bf02322053 · 2001
The psychometric properties and clinical utility of the Korean version of GAD-7 and GAD-2
2019
Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis
10.1503/jpn.140217 · 2016
Cingulate microstimulation induces negative decision-making via reduced top-down influence on primate fronto-cingulo-striatal network
10.1038/s41467-024-48375-1 · 2024
Antipsychotic dose equivalents and dose-years: a standardized method for comparing exposure to different drugs
10.1016/j.biopsych.2009.08.040 · 2010
Walking and sitting outdoors: which is better for cognitive performance and mental states?
10.3390/ijerph192416638 · 2022
datacite
Confidence 0%
Heart rate variability as a transdiagnostic biomarker of psychopathology
10.1016/j.ijpsycho.2015.08.004 · 2015
An inventory for measuring clinical anxiety: psychometric properties
10.1037/0022-006x.56.6.893 · 1988
Altered diurnal autonomic variation and reduced vagal information flow in acute schizophrenia
10.1016/j.clinph.2006.08.009 · 2006
Application of a diazepam milligram equivalency algorithm to assess benzodiazepine dose intensity in Rhode Island in 2018
2022
Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics
10.1038/s41386-020-00789-3 · 2021
The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
10.1017/s0033291721001367 · 2021
Role of age, gender and marital status in prognosis for adults with depression: an individual patient data meta-analysis
10.1017/s2045796021000342 · 2021
Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability
2024
Neural mechanisms of rumination subtypes in adolescent major depressive disorder based on large-scale brain network analysis
10.1016/j.jad.2026.121217 · 2026
A double-blind comparison of tianeptine, imipramine and placebo in the treatment of major depressive episodes
10.1016/0924-9338(96)82332-7 · 1996
The differential impact of processing speed and cognitive flexibility on cognitive emotion regulation strategies and depression
10.1016/j.jad.2025.02.106 · 2025
Sex differences in resting EEG in healthy young adults
10.1016/j.ijpsycho.2021.01.008 · 2021
Identification and medical utilization of newly diagnosed panic disorder: a Nationwide case-control study
10.1016/j.jpsychores.2019.109815 · 2019
Heightened effective connectivity of DLPFC-mPFC and DLPFC-ACC circuits in major depressive disorder with suicidal ideation: evidence from a TMS-EEG study
10.1038/s41398-025-03515-z · 2025
Abnormal brain-heart electrophysiology in mild and severe orthostatic hypotension
10.1097/hjh.0000000000003838 · 2024
Analysis of heart rate variability in posttraumatic stress disorder patients in response to a trauma-related reminder
10.1016/s0006-3223(97)00475-7 · 1998
Frontal cortex absolute beta power measurement in panic disorder with agoraphobia patients
10.1016/j.jad.2015.05.055 · 2015
Cross-national epidemiology of panic disorder and panic attacks in the world mental health surveys
10.1002/da.22572 · 2016
The effect of paroxetine on heart rate variability in patients with major depressive disorder: a systematic review and meta-analysis
10.1016/j.jad.2024.03.071 · 2024
Increased functional connectivity within alpha and theta frequency bands in dysphoria: a resting-state EEG study
10.1016/j.jad.2020.12.015 · 2021
Prevalence and clinical characteristics of cognitive impairment in male patients of methamphetamine dependence: the moderating role of childhood trauma
10.1016/j.jad.2025.121144 · 2026
Post-traumatic stress disorder (PTSD) symptom clusters associated with an indicator of heart rate variability: the ADVANCE cohort study
10.1016/j.jad.2025.01.087 · 2025
Heartbeat evoked potential and spectral analysis in patients with panic disorder during resting state
10.1016/j.pscychresns.2025.112039 · 2025
Treatment patterns, healthcare resource utilization, and costs following first-line antidepressant treatment in major depressive disorder: a retrospective US claims database analysis
10.1186/s12888-017-1385-0 · 2017
Is cardiac autonomic control affected in major depressive disorder? A systematic review of heart rate variability studies
10.1038/s41398-025-03430-3 · 2025
Brain-heart interactions in late-onset major depressive disorder revealed by multimodal HRV-driven fMRI
10.1038/s42003-026-10156-5 · 2026
Heart rate variability in depressive and anxiety disorders
10.1067/mhj.2000.109981 · 2000
Using 24-h heart rate variability to investigate the sleep quality and depression symptoms of medical students
2021
Heart rate variability as indicator of clinical state in depression
2019
How well do network models predict observations? On the importance of predictability in network models
10.3758/s13428-017-0910-x · 2018
Dose equivalents of antidepressants: evidence-based recommendations from randomized controlled trials
10.1016/j.jad.2015.03.021 · 2015
Resting-state EEG activity in depression: a systematic review and meta-analysis
2026
Heart rate variability changes in patients with panic disorder
10.1016/j.jad.2020.01.132 · doi-reference
Spatial-temporal EEG fusion based on neural network for major depressive disorder detection
10.1007/s12539-023-00567-x · doi-reference
Subtyping of performance trajectory during medical school, medical internship, and the first year of residency in training physicians: a longitudinal cohort study
10.3346/jkms.2024.39.e239 · doi-reference
Depression, performance status, and discontinued treatment mediate an association of curability belief with prognosis in advanced cancer patients
10.1038/s41598-024-80687-6 · doi-reference
Associations among the workplace violence, burnout, depressive symptoms, suicidality, and turnover intention in training physicians: a network analysis of nationwide survey
10.1038/s41598-023-44119-1 · doi-reference
Health-promoting behavior to enhance perceived meaning and control of life in chronic disease patients with role limitations and depressive symptoms: a network approach
10.1038/s41598-023-31867-3 · doi-reference
Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study
10.1186/s12888-024-06384-w · doi-reference
Comparison of the clinical efficacy, safety and EEG functional connectivity changes between 18-Hz rTMS and iTBS of accelerated dTMS treatment for major depressive disorder: a randomized controlled trial
10.1038/s41380-026-03633-0 · doi-reference
Beta activity in human anterior cingulate cortex mediates reward biases
10.1038/s41467-024-49600-7 · doi-reference
Circadian rhythm modulation in heart rate variability as potential biomarkers for major depressive disorder: a machine learning approach
10.1016/j.jpsychires.2025.03.002 · doi-reference
Heart rate variability status at rest in adult depressed patients: a systematic review and meta-analysis
10.3389/fpubh.2023.1243213 · doi-reference
Blonanserin augmentation of atypical antipsychotics in patients with schizophrenia-who benefits from Blonanserin augmentation?: an open-label, prospective, multicenter study
10.4306/pi.2016.13.4.458 · doi-reference
Electrocardiography-derived autonomic profiles in depression and suicide risk with insights from the UK biobank
10.1038/s44184-025-00130-0 · doi-reference
Heart rate variability in generalized anxiety disorder, major depressive disorder and panic disorder: a network meta-analysis and systematic review
10.1016/j.jad.2023.03.018 · doi-reference
Short-term HRV dynamics track suicide risk changes in depressive inpatients: a retrospective one-week longitudinal study
10.1016/j.jad.2026.122232 · doi-reference
Risk of all-cause and cause-specific mortality, and suicide attempt in people with anxiety and stress-related disorders: a systematic review, meta-analysis and meta-regression analysis of 165 studies
10.1002/wps.70072 · doi-reference
Short-term heart rate variability--influence of gender and age in healthy subjects
10.1371/journal.pone.0118308 · doi-reference
Wearable monitoring for mood recognition in bipolar disorder based on history-dependent long-term heart rate variability analysis
10.1109/jbhi.2013.2290382 · doi-reference
Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades
10.1016/s0735-1097(97)00554-8 · doi-reference
Right-side frontal-central cortical hyperactivation before the treatment predicts outcomes of antidepressant and electroconvulsive therapy responsivity in major depressive disorder
10.1016/j.jpsychires.2023.03.023 · doi-reference
Sleep, physical activity and panic attacks: a two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model
10.1016/j.sleep.2023.12.013 · doi-reference
Panic attack prediction using wearable devices and machine learning: development and cohort study
10.2196/33063 · doi-reference
Claude Bernard and the heart-brain connection: further elaboration of a model of neurovisceral integration
10.1016/j.neubiorev.2008.08.004 · doi-reference
A model of neurovisceral integration in emotion regulation and dysregulation
10.1016/s0165-0327(00)00338-4 · doi-reference
Heart rate variability in subthreshold depression and major depressive disorder
10.1016/j.jad.2025.01.003 · doi-reference
A brief measure for assessing generalized anxiety disorder: the GAD-7
10.1001/archinte.166.10.1092 · doi-reference
Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies
10.1038/s41380-021-01161-7 · doi-reference
Identifying physiological and cognitive indicators of subthreshold depression and major depressive disorder progression risk
10.2147/ndt.s526034 · doi-reference
Validation of the generalized anxiety Disorder-7 (GAD-7) and GAD-2 in patients with migraine
10.1186/s10194-015-0583-8 · doi-reference
Cardiology and neurophysiological stimulation of internet gaming disorders: a systematic review
10.2174/011573403x295560240530104352 · doi-reference
How much EEG is needed for deep learning with convolutional neural networks? Predicting the benefit from additional data
10.1088/1741-2552/ae453d · doi-reference
The dynamic role of the left dlPFC in neurovisceral integration: differential effects of theta burst stimulation on vagally mediated heart rate variability and cognitive-affective processing
10.1111/psyp.14606 · doi-reference
Using heart rate profiles during sleep as a biomarker of depression
10.1186/s12888-019-2152-1 · doi-reference
Predicting the severity of mood and neuropsychiatric symptoms from digital biomarkers using wearable physiological data and deep learning
10.1016/j.compbiomed.2024.108959 · doi-reference
A recent suicide attempt and the heartbeat: electrophysiological findings from a trans-diagnostic cohort of patients and healthy controls
10.1016/j.jpsychires.2022.11.020 · doi-reference
Complex network measures of brain connectivity: uses and interpretations
10.1016/j.neuroimage.2009.10.003 · doi-reference
Lifetime panic–depression comorbidity in the National Comorbidity Survey: association with symptoms, impairment, course and help-seeking
10.1192/bjp.176.3.229 · doi-reference
Identifying highly influential nodes in the complicated grief network
10.1037/abn0000181 · doi-reference
Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning
10.1038/s41598-023-33359-w · doi-reference
The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: a review with emphasis on a reanalysis of previous studies
10.1111/psyp.12027 · doi-reference