AIMC Topic: Affect
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Effect of an interactive therapeutic robotic animal on engagement, mood states, agitation and psychotropic drug use in people with dementia: a cluster-randomised controlled trial protocol.
BMJ open
Aug 12, 2015
INTRODUCTION: Apathy, agitated behaviours, loneliness and depression are common consequences of dementia. This trial aims to evaluate the effect of a robotic animal on behavioural and psychological symptoms of dementia in people with dementia living ...
A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect.
PLoS biology
Jun 22, 2015
Neuroimaging has identified many correlates of emotion but has not yet yielded brain representations predictive of the intensity of emotional experiences in individuals. We used machine learning to identify a sensitive and specific signature of emoti...
Brain Signature Predicts Negative Emotion in Individuals.
PLoS biology
Jun 22, 2015
Emotions are central to our daily lives, but their neural basis is not well understood; a new study uses fMRI to identify a complex multisystem neural signature of negative emotion induced by viewing distressing photographs.
Comparison of machine classification algorithms for fibromyalgia: neuroimages versus self-report.
The journal of pain
Feb 20, 2015
UNLABELLED: Recent studies have posited that machine learning (ML) techniques accurately classify individuals with and without pain solely based on neuroimaging data. These studies claim that self-report is unreliable, making "objective" neuroimaging...
Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.
Translational psychiatry
May 19, 2025
Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and p...
Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.
The international journal of neuropsychopharmacology
Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.
International journal of sports physiology and performance
Sep 1, 2019
PURPOSE: The influence of preceding load and future perceived wellness of professional soccer players is unexamined. This paper simultaneously evaluates the external load (EL) and internal load (IL) for different time frames in combination with prese...
Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.
Journal of psychiatric practice
Jul 1, 2019
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential...
AI in Action: How algorithms can analyze the mood of the masses.
Science (New York, N.Y.)
Jul 7, 2017
Gaussian process dynamical models for multimodal affect recognition.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Affective computing systems has a great potential in applications for biofeedback systems and cognitive conductual therapies. Here, by analyzing the physiological behavior of a given subject, we can infer the affective state of an emotional process. ...
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