Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
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 …

An overview of EEG-based machine learning methods in seizure prediction and opportunities for neurologists in this field

B Maimaiti, H Meng, Y Lv, J Qiu, Z Zhu, Y Xie, Y Li… - Neuroscience, 2022 - Elsevier
The unpredictability of epileptic seizures is one of the most problematic aspects of the field of
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …

Detecting presence of PTSD using sentiment analysis from text data

J Sawalha, M Yousefnezhad, Z Shah… - Frontiers in …, 2022 - frontiersin.org
Rates of Post-traumatic stress disorder (PTSD) have risen significantly due to the COVID-19
pandemic. Telehealth has emerged as a means to monitor symptoms for such disorders …

Unipolar and bipolar depression detection and classification based on actigraphic registration of motor activity using machine learning and uniform manifold …

M Zakariah, YA Alotaibi - Diagnostics, 2023 - mdpi.com
Modern technology frequently uses wearable sensors to monitor many aspects of human
behavior. Since continuous records of heart rate and activity levels are typically gathered …

[HTML][HTML] Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research

T Macpherson, A Churchland, T Sejnowski, J DiCarlo… - Neural Networks, 2021 - Elsevier
Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances
in neuroscience, alongside huge leaps in computer processing power over the last few …

The application of artificial intelligence and custom algorithms with inertial wearable devices for gait analysis and detection of gait-altering pathologies in adults: A …

ACY Lim, P Natarajan, RD Fonseka… - Digital …, 2022 - journals.sagepub.com
Background The purpose of this scoping review was to explore the current applications of
objective gait analysis using inertial measurement units, custom algorithms and artificial …

Artificial intelligence and neuroscience: An update on fascinating relationships

N Gopinath - Process Biochemistry, 2023 - Elsevier
Innovative technologies such as Artificial Intelligence (AI), deep learning, Machine learning
and optogenetics have been considered key components in the contribution to the …

Peripheral biomarkers in DSM-5 anxiety disorders: an updated overview

M Vismara, N Girone, G Cirnigliaro, F Fasciana… - Brain Sciences, 2020 - mdpi.com
Anxiety disorders are prevalent and highly disabling mental disorders. In recent years,
intensive efforts focused on the search for potential neuroimaging, genetic, and peripheral …

Classification of depressive and schizophrenic episodes using night-time motor activity signal

JG Rodríguez-Ruiz, CE Galván-Tejada, H Luna-García… - Healthcare, 2022 - mdpi.com
Major depressive disorder (MDD) is the most recurrent mental illness globally, affecting
approximately 5% of adults. Furthermore, according to the National Institute of Mental Health …

Self-Harm among Forensic Psychiatric inpatients with Schizophrenia Spectrum disorders: an explorative analysis

JR Kappes, DA Huber, J Kirchebner… - … journal of offender …, 2023 - journals.sagepub.com
The burden of self-injury among offenders undergoing inpatient treatment in forensic
psychiatry is substantial. This exploratory study aims to add to the previously sparse …