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Circadian rhythm disruption and mental health
Circadian rhythms are internal manifestations of the solar day that permit adaptations to
predictable environmental temporal changes. These~ 24-h rhythms are controlled by …
predictable environmental temporal changes. These~ 24-h rhythms are controlled by …
[HTML][HTML] The foundation and architecture of precision medicine in neurology and psychiatry
Neurological and psychiatric diseases have high degrees of genetic and pathophysiological
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have …
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have …
Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …
assessment methods using self-reported and clinician-administered questionnaires have …
[HTML][HTML] Current state of digital biomarker technologies for real-life, home-based monitoring of cognitive function for mild cognitive impairment to mild Alzheimer …
Background Among areas that have challenged the progress of dementia care has been the
assessment of change in symptoms over time. Digital biomarkers are defined as objective …
assessment of change in symptoms over time. Digital biomarkers are defined as objective …
[HTML][HTML] Digital phenoty**: data-driven psychiatry to redefine mental health
The term “digital phenotype” refers to the digital footprint left by patient-environment
interactions. It has potential for both research and clinical applications but challenges our …
interactions. It has potential for both research and clinical applications but challenges our …
[HTML][HTML] Passive sensing of prediction of moment-to-moment depressed mood among undergraduates with clinical levels of depression sample using smartphones
Prior research has recently shown that passively collected sensor data collected within the
contexts of persons daily lives via smartphones and wearable sensors can distinguish those …
contexts of persons daily lives via smartphones and wearable sensors can distinguish those …
[HTML][HTML] Understanding people's use of and perspectives on mood-tracking apps: interview study
Background Supporting mental health and wellness is of increasing interest due to a
growing recognition of the prevalence and burden of mental health issues. Mood is a central …
growing recognition of the prevalence and burden of mental health issues. Mood is a central …
[HTML][HTML] Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review
Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …
[HTML][HTML] Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis
Depression is a prevalent mental disorder. Current clinical and self-reported assessment
methods of depression are laborious and incur recall bias. Their sporadic nature often …
methods of depression are laborious and incur recall bias. Their sporadic nature often …