A5071479866- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Mental Health Research Topics
- Schizophrenia research and treatment
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Transcranial Magnetic Stimulation Studies
- Health and Wellbeing Research
- Mental Health Treatment and Access
- Glaucoma and retinal disorders
- Reinforcement Learning in Robotics
- Attention Deficit Hyperactivity Disorder
- Migration, Health and Trauma
- Machine Learning in Healthcare
- Psychosomatic Disorders and Their Treatments
- Robot Manipulation and Learning
- Modular Robots and Swarm Intelligence
- Posttraumatic Stress Disorder Research
- Psychosocial Factors Impacting Youth
- Diet and metabolism studies
- Electroconvulsive Therapy Studies
- Mental Health via Writing
- Optimism, Hope, and Well-being
- Neuroscience and Neuropharmacology Research
- Interactive and Immersive Displays
- Health Promotion and Cardiovascular Prevention
Catholic University of Korea
2012-2024
Seoul St. Mary's Hospital
2017-2024
The University of Tokyo
2022-2024
Rutgers, The State University of New Jersey
2018
Sahmyook University
2017
Korea Advanced Institute of Science and Technology
2012
Although distinctive structural abnormalities occur in patients with schizophrenia, detecting schizophrenia magnetic resonance imaging (MRI) remains challenging. This study aimed to detect MRI data sets using a trained deep learning algorithm.Five public (BrainGluSchi, COBRE, MCICShare, NMorphCH, and NUSDAST) from normal subjects, for total of 873 sets, were used train convolutional neural network.The algorithm MR images detected randomly selected reliable performance (area under the...
Large, high-capacity models trained on diverse datasets have shown remarkable successes efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led a consolidation of pretrained models, with general backbones serving as starting point for many Can such happen in robotics? Conventionally, robotic learning methods train separate model every application, robot, and even environment. we instead generalist X-robot policy that can be adapted new robots,...
Classification and prediction of suicide attempts in high-risk groups is important for preventing suicide. The purpose this study was to investigate whether the information from multiple clinical scales has classification power identifying actual attempts. Patients with depression anxiety disorders (N = 573) were included, each participant completed 31 self-report psychiatric questionnaires about their history We then trained an artificial neural network classifier 41 variables (31 10...
Although the risk for depression appears to be related daily dietary habits, how proportion of major macronutrients affects occurrence remains largely unknown. This study aims estimate association between (i.e., carbohydrate, protein, fat) and through national survey datasets from United States South Korea. Association prevalence each macronutrient was measured 60,935 participants National Health Nutrition Examination Survey (NHANES) 15,700 Korea NHANES (K-NHANES) databases. When calories...
The timing and frequency of spontaneous eyeblinking is thought to be influenced by ongoing internal cognitive or neurophysiological processes, but how precisely these processes influence the dynamics still unclear. This study aimed better understand functional role during investigating temporal pattern eyeblinks performance attentional tasks. was recorded from 28 healthy subjects both visual auditory versions Stroop task, distributions were estimated in relation stimulus presentation vocal...
In numerous studies that have addressed transcranial direct current stimulation (tDCS) devices, participants visit the hospital regularly and undergo directed by health professionals. This method has advantage of being able to deliver accurate stimuli in a controlled environment, but it does not adopt merits tDCS portability applicability. Thus, may be necessary investigate how self-administered treatment at home affects depression- related symptoms.In this randomized, single-blinded...
Neural responses in early sensory areas are influenced by top-down processing. In the visual system, have been shown to actively participate processing based on their topographical properties. Although it has suggested that auditory cortex is involved control, functional evidence of topographic modulation still lacking. Here, we show mental imagery for familiar melodies induces significant activation frequency-responsive primary (PAC). This related characteristics imagery: when subjects were...
Objective: Predicting prognosis of in-hospital patients is critical. However, it challenging to accurately predict the life and death certain at period. To determine whether machine learning algorithms could critically ill with considerable accuracy identify factors contributing prediction power. Materials Methods: Using medical data 1,384 admitted Surgical Intensive Care Unit (SICU) our institution, we investigated using demographic, laboratory, other disease-related variables, compared...
This work investigated whether Tourette syndrome patients exhibit alterations in neural oscillations during spontaneous expression and suppression of tics. Electroencephalograms (EEGs) were recorded from 9 medication-naïve children with 10 age-matched healthy subjects resting conditions tic suppression. Their cortical examined using the power spectral method partial directed coherence. The authors found increased broad frequency bands frontomotor regions expression, suggesting involvement...
Purpose: The number of patients with alcohol-related problems is steadily increasing. A large-scale survey has been conducted. However, studies that predict hazardous drinkers and identify which factors contribute to the prediction are limited. Thus, purpose this study was severity using a deep learning algorithm based on data. Materials Methods: Datasets National Health Nutrition Examination Survey South Korea (K-NHANES), nationally representative for entire Korean population, were used...
Jihoon Oh, Sekye Jeon, Tae Hyon Ha, Woojae Myung, Seung-Hwan Lee, Young-Hoon Ko, Do Hoon Kim, Hwa-Young Jeong-Ho Chae. Clin Psychopharmacol Neurosci 2023;21:271-8. https://doi.org/10.9758/cpn.2023.21.2.271
: Diagnosis and assessment of depression rely on scoring systems based questionnaires, either self-reported by patients or administered clinicians, observation patient facial expressions during the interviews plays a crucial role in making impressions clinical settings. Deep learning driven approaches can assist clinicians course diagnosis recognizing subtle emotions patients.
Aim The role of feedback processing in decision‐making has been assessed psychiatric patients using the I owa G ambling T ask ( IGT ). Although impaired performance on documented extensively schizophrenia patients, neuropsychological mechanisms underlying deficits have not yet elucidated. Therefore, aim this study was to investigate origins various versions . Methods Thirty chronic and 33 healthy subjects underwent computerized , V ariant VGT ), S huffled SGT ) assess contributions...
Electroencephalogram (EEG) alpha activity during resting state reflects the 'readiness' of an individual to respond environment; this includes performance cognitive processes. Alpha is reported be attenuated in schizophrenia (SCZ). Understanding interaction between rest and when cognitively engaged may provide insights into neural circuitry, which dysfunctional SCZ. This study investigated changes engagement SCZ patients.Thirty-four patients 29 healthy controls (HC) were recruited. EEG was...
Abstract This work presents a unique approach to the design, fabrication, and characterization of paper‐based, skin‐like sensors that use patterned resistive networks for passive, scalable sensing with reduced number interconnects. When touched or wetted water, in detect significant changes electrical impedance. Fabricating these single sheet metallized paper reduces distinct inputs/outputs arrayed sensors. For human–electrode interactions, circuit‐based models guide design/material...
Background A psychiatric interview is one of the important procedures in diagnosing disorders. Through this interview, psychiatrists listen to patient’s medical history and major complaints, check their emotional state, obtain clues for clinical diagnosis. Although there have been attempts diagnose a specific mental disorder from short doctor-patient conversation, has no attempt classify state based on text scripts formal more than 30 min use it depression. This study aimed utilize existing...
In South Korea, the first confirmed case of coronavirus 2019 (COVID-19) was detected on January 20, 2020. After a month, number cases surged, as community transmission occurred. The local hospitals experienced severe shortages in medical resources such mechanical ventilators and extracorporeal membrane oxygenation (ECMO) equipment. With claims data 7,590 COVID-19 patients, this study examined how demand for major medications changed during outbreak subsequent stabilization period Korea. We...
The purpose of this study is to show the effectiveness performing squat exercises at various angles maximum muscle activity Vastus Medialis Oblique (VMO) and Biceps femoris (BF).
Abstract Nigral dopamine (DA) neurons in vivo exhibit complex firing patterns consisting of tonic single‐spikes and phasic bursts that encode information for certain types reward‐related learning behavior. Non‐linear dynamical analysis has previously demonstrated the presence a non‐linear deterministic structure DA neurons, yet origin this determinism remains unknown. In study, we hypothesized bursting activity is primary source neurons. To test hypothesis, investigated dimension complexity...
Objective The purpose of this study was to investigate the effects depressive symptoms on health-seeking behaviors using large epidemiological data Korea National Health and Nutrition Examination (KNHANES).Methods Data from Survey (KNHANES), which is a large-scale national survey, were used in study. Patient Questionnaire-9 (PHQ-9) assess state participants. Specialized self-reported questionnaires that included questions about also performed. To examine relationships between depression...