Psychiatry

Reflections of Low-Income, Second-Generation Latinas About Experiences in Depression Therapy.

Depression is higher among second-generation Latinas compared with immigrants, but mental health treatment is stigmatized. Therefore, second-generation Latinas were interviewed after completing an eight-session depression treatment program to gain insight on what they found valuable about their therapy experiences. Constructivist grounded theory guided data collection and analysis which showed tha...

Cross-trial prediction of treatment outcome in depression: a machine learning approach.

BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empirically validated mechanisms to assess whether a patient with depression will respond to a specific antidepressant. We aimed to develop an algorithm to assess whether patients will achieve symptomatic remission from a 12-week course of citalopram.

Decreased Intra- and Inter-Salience Network Functional Connectivity is Related to Trait Anxiety in Adolescents.

OBJECTIVE: Adolescence is a critical period for the vulnerability of anxiety. Imaging studies focusing on adolescents' susceptibility to anxiety sugge...

Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.

OBJECTIVE: A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However...

Retrieving Binary Answers Using Whole-Brain Activity Pattern Classification.

Multivariate pattern analysis (MVPA) has been successfully employed to advance our understanding of where and how information regarding different ment...

GC-MS analysis of the designer drug α-pyrrolidinovalerophenone and its metabolites in urine and blood in an acute poisoning case.

α-Pyrrolidinovalerophenone (α-PVP) is a synthetic cathinone belonging to the group of "second generation" pyrrolidinophenones that becomes more and mo...

Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques.

First episode psychosis (FEP) patients are of particular interest for neuroimaging investigations because of the absence of confounding effects due to...

Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.

Classification models are becoming useful tools for finding patterns in neuroimaging data sets that are not observable to the naked eye. Many of these...

Does lower urine-specific gravity predict decline in renal function and hypernatremia in older adults exposed to psychotropic medications? An exploratory analysis.

BACKGROUND: Exposure to psychotropic agents, including lithium, antipsychotics and antidepressants, has been associated with nephrogenic diabetes insi...

Training and testing ERP-BCIs under different mental workload conditions.

OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-B...

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric diso...

Female Sterilization and Poor Mental Health: Rates and Relatedness among American Indian and Alaska Native Women.

OBJECTIVE: To describe the reproductive and mental health of American Indian and Alaska Native (AI/AN) women, an understudied population.

Studying depression using imaging and machine learning methods.

Depression is a complex clinical entity that can pose challenges for clinicians regarding both accurate diagnosis and effective timely treatment. Thes...

Homophily of Vocabulary Usage: Beneficial Effects of Vocabulary Similarity on Online Health Communities Participation.

Online health communities provide popular platforms for individuals to exchange psychosocial support and form ties. Although regular active participat...

Predicting Health Care Utilization After Behavioral Health Referral Using Natural Language Processing and Machine Learning.

Mental health problems are an independent predictor of increased healthcare utilization. We created random forest classifiers for predicting two outco...

Pregnancy risk factors in autism: a pilot study with artificial neural networks.

BACKGROUND: Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. ...

Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, where authors share their thoughts in web blogs, mic...

Autism and social robotics: A systematic review.

Social robotics could be a promising method for Autism Spectrum Disorders (ASD) treatment. The aim of this article is to carry out a systematic litera...

Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients.

OBJECTIVES: This study investigates whether abnormal neural oscillations, which have been shown to precede the onset of frank psychosis, could be used...

Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.

Mental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if i...