A5027409441- Schizophrenia research and treatment
- Mental Health Research Topics
- Digital Mental Health Interventions
- Bipolar Disorder and Treatment
- Mental Health and Psychiatry
- Psychosomatic Disorders and Their Treatments
- Telemedicine and Telehealth Implementation
- Child and Adolescent Psychosocial and Emotional Development
- Mobile Health and mHealth Applications
- COVID-19 and Mental Health
- Electroconvulsive Therapy Studies
- Functional Brain Connectivity Studies
- Mental Health Treatment and Access
- Free Will and Agency
- Neural and Behavioral Psychology Studies
- Family Caregiving in Mental Illness
- Neuroscience and Music Perception
- Patient Satisfaction in Healthcare
- Adolescent and Pediatric Healthcare
- Genetics and Neurodevelopmental Disorders
- Obsessive-Compulsive Spectrum Disorders
- Psychiatric care and mental health services
- COVID-19 and healthcare impacts
- Personality Disorders and Psychopathology
- Neurotransmitter Receptor Influence on Behavior
Vanguard University
2022
Zucker Hillside Hospital
2010-2021
Northwell Health
2010-2021
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell
2018-2021
Hofstra University
2013-2017
Feinstein Institute for Medical Research
2013-2016
Dartmouth College
2015
Charité - Universitätsmedizin Berlin
2006-2013
Long Island Jewish Medical Center
2012
Bristol-Myers Squibb (Germany)
2010
Patients suffering from schizophrenia may report unusual experiences of their own actions. They either feel that external forces are controlling actions or even thoughts, they in control events fact not caused by Most theories link these disturbances the sense agency to deficits motor prediction, resulting a mismatch between predicted and actual sensory feedback at central comparator mechanism. Such therefore can account for situations which is reduced. However, other experiments as well...
Early detection of mental health changes in individuals with serious illness is critical for effective intervention. CrossCheck the first step towards passive monitoring indicators patients schizophrenia and paves way relapse prediction early In this paper, we present initial results from an ongoing randomized control trial, where smartphone sensor data collected 21 outpatients recently discharged hospital over a period ranging 2-8.5 months. Our indicate that there are statistically...
This purpose of this study was to describe and demonstrate CrossCheck, a multimodal data collection system designed aid in continuous remote monitoring identification subjective objective indicators psychotic relapse.
This study examined the feasibility, acceptability, and utility of behavioral sensing among individuals with schizophrenia.Nine outpatients 11 inpatients carried smartphones for two- or one-week periods, respectively. Device-embedded sensors (accelerometers, microphone, global positioning system, WiFi, Bluetooth) collected data ascertained patients' location, activity, exposure to human speech as they went about their day. Participants rated this approach by completing usability...
Objectives The aim of the present study was to systematically evaluate prodrome mania in youth. Methods New‐onset/worsening symptoms/signs ≥ moderate severity preceding first were assessed 52 youth (16.2 ± 2.8 years) with a research diagnosis bipolar I disorder ( BD ‐I). Youth and/or caregivers underwent semi‐structured interviews, using Bipolar Prodrome Symptom Scale–Retrospective. Results reported start gradually most (88.5%), either slow (59.6%) or rapid (28.8%) deterioration, while...
Continuously monitoring schizophrenia patients’ psychiatric symptoms is crucial for in-time intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) a survey administered by clinicians to evaluate symptom severity in schizophrenia. CrossCheck prediction system capable of tracking based on BPRS using passive sensing from mobile phones. We present results an ongoing randomized control trial, where data, self-reports, clinician 7-item surveys are collected 36 outpatients...
The COVID-19 pandemic and its associated movement restrictions forced a rapid massive transition to telepsychiatry successfully maintain care continuity.
Objectives: The COVID-19 pandemic has forced a rapid transition to telepsychiatry. This study examined the experience and attitudes of mental health care providers toward telehealth. Methods: At 18 centers across United States, 819 completed an electronic survey about telepsychiatry use satisfaction. Results: Overall, 73% using videoconferencing 66% telephone rated their as excellent or good. Flexible scheduling rescheduling (77%) timely start (69%) were frequently reported advantages for...
Background Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over course illness. Developing unobtrusive remote monitoring systems to detect early warning signs impending relapses would allow clinicians intervene before patient’s condition worsens. Objective In this study, we aim create first models, exclusively using passive sensing data from a smartphone, predict behavioral anomalies that could...
Objective The aim of the present study was to investigate psychometric properties Bipolar Prodrome Symptom Interview and Scale–Prospective ( BPSS ‐P), first specific interview for emerging bipolar disorder BD ) symptoms. Methods A total 205 youth aged 12–23 years and/or their caregivers underwent ‐P interviews: 129 patients with mood spectrum disorders [depression (n = 77), not otherwise specified NOS 27), ‐ 14), I ‐I)/bipolar II )/cyclothymia 11), 34 non‐mood disorders, 42 healthy controls...
Schizophrenia is a severe and complex psychiatric disorder with heterogeneous dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people schizophrenia. As such, behavioral rhythm sensing smartphones machine learning can help better understand predict their Our goal to fine-grained symptom changes interpretable models. We computed rhythm-based features from 61 participants 6,132 days of data used multi-task ecological momentary assessment...
Impaired social functioning is a symptom of mental illness (e.g., depression, schizophrenia) and wide range other conditions cognitive decline in the elderly, dementia). Today, assessing relies on subjective evaluations self assessments. We propose different approach collect detailed measures objective mobile sensing data from N=55 outpatients living with schizophrenia to study new methods passively accessing functioning. identify number behavioral patterns data, discuss important...
Temperament and mood swings are promising indicators for the characterization of spectrum vulnerability. The aim this study was to investigate relationship between affective temperament in bipolar disorder. We explored these clinical features retrospectively.Patients who met criteria I disorder were enrolled study. Exclusion partial remittance a full or psychotic episode. Data concerning illness family history, (semistructured interview swings) depression (Beck, Depression Inventory)...