Toshikazu Shinba

ORCID: 0000-0002-4969-0124
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About
Contact & Profiles
Research Areas
  • Heart Rate Variability and Autonomic Control
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neuropharmacology Research
  • Non-Invasive Vital Sign Monitoring
  • Neurotransmitter Receptor Influence on Behavior
  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Stress Responses and Cortisol
  • Memory and Neural Mechanisms
  • Optical Imaging and Spectroscopy Techniques
  • Electromagnetic Fields and Biological Effects
  • Receptor Mechanisms and Signaling
  • Neuroscience and Neural Engineering
  • Neuroscience and Music Perception
  • Sleep and Wakefulness Research
  • Tryptophan and brain disorders
  • Regulation of Appetite and Obesity
  • Sleep and related disorders
  • Circadian rhythm and melatonin
  • Wireless Body Area Networks
  • Epilepsy research and treatment
  • Neuroendocrine regulation and behavior
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Intensive Care Unit Cognitive Disorders

Shizuoka Saiseikai General Hospital
2016-2025

Tokyo Metropolitan Institute of Medical Science
2013-2023

Tokyo Institute of Psychiatry
2001-2022

Tokyo Metropolitan University
2020-2022

Shizuoka Red Cross Hospital
2020

Aichi Gakuin University
1985

Previous studies have shown that heart rate variability (HRV) measurement is useful in investigating the pathophysiology of various psychiatric disorders. The present study further examined its usefulness evaluating mental health normal subjects with respect to anxiety and depressiveness.Heart (HR) HRV were measured tonometrically at wrist 43 not only resting condition but also during a task (random number generation) assess responsiveness. For measurement, high-frequency (HF; 0.15-0.4 Hz)...

10.1111/j.1440-1819.2008.01855.x article EN Psychiatry and Clinical Neurosciences 2008-09-29

ARX (the aristaless -related homeobox gene) is a transcription factor that participates in the development of GABAergic and cholinergic neurons forebrain. Many mutations have been identified X-linked lissencephaly mental retardation with epilepsy, thus considered to be causal gene for two syndromes although neurobiological functions each mutation remain unclear. We attempted elucidate relationships between individual disease phenotypes by generating series mutant mice. generated three types...

10.1093/hmg/ddp318 article EN public-domain Human Molecular Genetics 2009-07-15

Aim The aim of the present study was to assess autonomic activity and reactivity reflecting arousal functions in depression using heart‐rate variability ( HRV ) heart rate HR measurements. Methods were measured drug‐naïve depressed n = 22) normal subjects 47) both at rest during task execution (random number generation). Rest before after task. Following power spectrum analysis trend, high‐frequency component HF : 0.15–0.4 Hz) ratio low‐frequency LF 0.04–0.15 / used as parameters...

10.1111/pcn.12123 article EN Psychiatry and Clinical Neurosciences 2013-12-08

The aim of the present study was to examine whether depression and anxiety disorder manifest different autonomic dysregulations using heart-rate variability (HRV) heart rate (HR) measurements.HRV HR were recorded both at rest during task execution (random-number generation) in first-onset drug-naïve patients with major depressive (MDD, n = 14) generalized (GAD, 11) as well healthy controls (n 41). showed no comorbidity disorder. GAD did not exhibit panic or phobic symptoms time measurement....

10.1111/pcn.12494 article EN Psychiatry and Clinical Neurosciences 2016-12-17

Heart rate variability (HRV) has been intensively studied as a promising biological marker of major depressive disorder (MDD). Our previous study confirmed that autonomic activity and reactivity in depression revealed by HRV during rest mental task (MT) conditions can be used diagnostic measures clinical evaluation. In this study, logistic regression analysis (LRA) was utilized for the classification prediction MDD based on data obtained an MT paradigm.Power spectral R-R intervals before,...

10.3389/fpsyt.2016.00180 article EN cc-by Frontiers in Psychiatry 2016-11-04

Abstract Numerous COVID-19 diagnostic imaging Artificial Intelligence (AI) studies exist. However, none of their models were potential clinical use, primarily owing to methodological defects and the lack implementation considerations for inference. In this study, all development processes deep-learning are performed based on strict criteria “KAIZEN checklist”, which is proposed previous AI guidelines overcome deficiencies mentioned above. We develop evaluate two binary-classification triage...

10.1038/s41598-024-52135-y article EN cc-by Scientific Reports 2024-01-19

Many patients with major depressive disorder (MDD) feel worse in the morning than evening. To clarify differences physiological characteristics between MDD and healthy participants, a wearable device that measures peripheral wrist skin temperature heart rate (HR) was adopted. The incorporates thermopile sensor to measure using infrared radiation emitted from surface. In total, 30 diagnosed 24 individuals were recruited. From 00:00 12:00, participants wore wrist-worn on their non-dominant...

10.3390/s25051582 article EN cc-by Sensors 2025-03-05

Alterations of cerebral blood flow have been reported in studies depression treated by transcranial magnetic stimulation (TMS). However, the relation between these changes activity during and effectiveness TMS is not known. The aim this study was to determine whether frontal volume measured as hemoglobin concentration (fHbC) are correlated with clinical outcomes treatment.Fifteen drug-resistant patients underwent a standard treatment regimen left dorsolateral prefrontal cortex. We recorded...

10.1111/pcn.12680 article EN Psychiatry and Clinical Neurosciences 2018-05-18

Over 350 million people across the world suffer from major depressive disorder (MDD). More than 10% of MDD patients have suicide intent, while it has been reported that more 40% did not consult their doctors for MDD. In order to increase consultation rate potential patients, we developed a novel screening system which can be used at home without help health-care professionals. Using fingertip photoplethysmograph (PPG) sensor as substitute electrocardiograph (ECG), discriminates healthy...

10.3389/fbioe.2018.00064 article EN cc-by Frontiers in Bioengineering and Biotechnology 2018-05-22

To encourage potential major depressive disorder (MDD) patients to attend diagnostic sessions, we developed a novel MDD screening system based on sleep-induced autonomic nervous responses. The proposed method only requires wristwatch device be worn for 24 h. We evaluated heart rate variability (HRV) via wrist photoplethysmography (PPG). However, previous studies have indicated that HRV measurements obtained using wearable devices are susceptible motion artifacts. propose improve accuracy by...

10.3390/s23083867 article EN cc-by Sensors 2023-04-10

Postpartum depression (PPD) is a serious mental health issue among women after childbirth, and screening systems that incorporate questionnaires have been utilized to screen for PPD. These are sensitive but less specific, the additional use of objective measures could be helpful. The present study aimed verify usefulness measure autonomic function, heart rate variability (HRV), which has reported dysregulated in people with depression. Among 935 who had experienced childbirth completed...

10.3390/s24051459 article EN cc-by Sensors 2024-02-23

Major depressive disorder (MDD) and chronic fatigue syndrome (CFS) have overlapping symptoms, differentiation is important to administer the proper treatment. The present study aimed assess usefulness of heart rate variability (HRV) indices. Frequency-domain HRV indices, including high-frequency (HF) low-frequency (LF) components, their sum (LF+HF), ratio (LF/HF), were measured in a three-behavioral-state paradigm composed initial rest (Rest), task load (Task), post-task (After) periods...

10.3390/s23115330 article EN cc-by Sensors 2023-06-04

10.1016/s0168-5597(97)00047-6 article EN Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section 1997-09-01

Previous studies using various brain imaging methods have reported prefrontal blood flow disturbances in psychiatric disorders, including schizophrenia and major depressive disorder. In both alterations of the resting flow, addition to that activation response task load, been shown, but results are not consistent. The present study aimed examine anterior hemoglobin concentration at state depression near-infrared time-resolved spectroscopy (NIR-TRS), which estimates optical absorption...

10.3390/s22041594 article EN cc-by Sensors 2022-02-18

Yoga therapy is widely applied to the maintenance of health and treatment various illnesses. Previous researches indicate involvement autonomic control in its effects, although general agreement has not been reached regarding acute modulation function.The present study aimed at revealing effect yoga on activity using heart rate variability (HRV) measurement.Twenty-seven healthy controls participated study. Fifteen them (39.5 ± 8.5 years old) were naïve 12 (45.1 7.0 experienced yoga. skills...

10.4103/ijoy.ijoy_39_19 article EN cc-by-nc-sa International Journal of Yoga 2020-01-01

The diagnosis of psychiatric disorders, such as major depressive disorder (MDD), depends on clinical interviews and assessment symptoms. However, due to the fact that mental states cannot be objectively assessed, procedures are often influenced by experience psychiatrist. Hence, aim this study is develop a simple, objective, highly accurate self-check system for screening disorders based heart rate variability (HRV) measured from single- lead electrocardiography (ECG) or photoplethysmogram...

10.1109/sas.2019.8706009 article EN 2019-03-01

Since objective biomarkers for major depressive disorder (MDD) are not readily available, clinical psychiatrists diagnose patients with MDD subjectively based on interviews and diagnostic criteria. It often raises various concerns, including false responses by patients, subjective factors, inexperience of the attendants leading to incorrect diagnosis. Here, we developed a self-monitoring system simple screening using photoplethysmography (PPG) sensor 24-GHz microwave radar, which was...

10.1109/embc.2017.8037074 article EN 2017-07-01
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