Search results for "Sadness"

showing 10 items of 81 documents

Emotion recognition from facial expressions: a normative study of the Ekman 60-Faces Test in the Italian population.

2013

The Ekman 60-Faces (EK-60F) Test is a well-known neuropsychological tool assessing emotion recognition from facial expressions. It is the most employed task for research purposes in psychiatric and neurological disorders, including neurodegenerative diseases, such as the behavioral variant of Frontotemporal Dementia (bvFTD). Despite its remarkable usefulness in the social cognition research field, to date, there are still no normative data for the Italian population, thus limiting its application in a clinical context. In this study, we report procedures and normative data for the Italian version of the test. A hundred and thirty-two healthy Italian participants aged between 20 and 79 years…

AdultMalemedia_common.quotation_subjectEmotion classificationEmotionsContext (language use)DermatologyAngerNeuropsychological TestsDevelopmental psychologyYoung AdultSocial cognitionReference ValuesHumansmedia_commonAgedFacial expressionGeneral MedicineMiddle AgedEkman 60-faces testDisgustSadnessFacial ExpressionPsychiatry and Mental healthItalyPattern Recognition VisualFaceNormativeEducational StatusFemaleNeurology (clinical)Emotion recognitionPsychologyMental Status SchedulePhotic StimulationNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
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Manipulating Greek musical modes and tempo affects perceived musical emotion in musicians and nonmusicians.

2011

The combined influence of tempo and mode on emotional responses to music was studied by crossing 7 changes in mode with 3 changes in tempo. Twenty-four musicians aged 19 to 25 years (12 males and 12 females) and 24 nonmusicians aged 17 to 25 years (12 males and 12 females) were required to perform two tasks: 1) listening to different musical excerpts, and 2) associating an emotion to them such as happiness, serenity, fear, anger, or sadness. ANOVA showed that increasing the tempo strongly affected the arousal (F(2,116) = 268.62, mean square error (MSE) = 0.6676, P < 0.001) and, to a lesser extent, the valence of emotional responses (F(6,348) = 8.71, MSE = 0.6196, P < 0.001). Changes in mode…

AdultMalemedicine.medical_specialtyTime FactorsPhysiologymedia_common.quotation_subjectImmunologyEmotionsBiophysicsAudiologyAngerBiochemistryArousalYoung AdultmedicineHumansActive listeningGeneral Pharmacology Toxicology and PharmaceuticsValence (psychology)media_commonAnalysis of VarianceGeneral NeuroscienceCognitionCell BiologyGeneral MedicineSadnessAcoustic StimulationHappinessFemalePerceptionAnalysis of variancePsychologyMusicPsychoacousticsBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
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Lateralized effect of rapid-rate transcranial magnetic stimulation of the prefrontal cortex on mood.

1996

We studied the effects of rapid-rate transcranial magnetic stimulation (rTMS) of different scalp positions on mood Ten normal volunteers rated themselves before and after rTMS on five analog scales labeled ``Tristeza99 (Sadness), ``Ansiedad99 (Anxiety), ``Alegria99 (Happiness), ``Cansancio99 (Tiredness), and ``Dolor/Malestar99 (Pain/Discomfort). rTMS was applied to the right lateral prefrontal, left prefrontal, or midline frontal cortex in trains of 5 seconds9 duration at 10 Hz and 110% of the subject9s motor threshold intensity. Each stimulation position received 10 trains separated by a 25-second pause. No clinically apparent mood changes were evoked by rTMS to any of the scalp positions …

AdultMalemedicine.medical_specialtyTime Factorsmedicine.medical_treatmentmedia_common.quotation_subjectEmotionsHappinessPainPrefrontal CortexStimulationAudiologyAnxietybehavioral disciplines and activitiesFunctional LateralityReference ValuesCortex (anatomy)mental disordersmedicineHumansPrefrontal cortexmedia_commonTranscranial Magnetic StimulationFrontal LobeTranscranial magnetic stimulationSadnessAffectMoodmedicine.anatomical_structureOrgan SpecificityScalpLateralityFemaleNeurology (clinical)PsychologyNeurosciencepsychological phenomena and processesNeurology
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Emotion regulation in adolescents with anorexia and bulimia nervosa: Differential use of adaptive and maladaptive strategies compared to healthy adol…

2021

Objective: Adolescents with anorexia (AN) and bulimia nervosa (BN) often struggle with emotion regulation (ER). These difficulties have predominantly been assessed across emotions, without considering adaptive and maladaptive ER separately.We compared adolescents with AN or BN to healthy adolescents (HCs) regarding the adaptive and maladaptive ER of three emotions. Methods: A treatment-seeking sample of 197 adolescents (atypical/full-threshold AN: N = 118, atypical/full-threshold BN: N = 32; HC: N = 47) reported emotion-specific ER with the FEEL-KJ questionnaire. Mixed models were calculated for adaptive and maladaptive ER to assess differences between emotions (anxiety, anger, sadness) and…

Anorexia NervosaAdolescentmedia_common.quotation_subjectEmotions610 MedizinAnorexiaAngerbehavioral disciplines and activities610 Medical sciencesmental disordersPost-hoc analysismedicineHumansBulimia Nervosamedia_commonbusiness.industryBulimia nervosamedicine.diseaseAnorexiaEmotional RegulationSadnessPsychiatry and Mental healthEating disordersAnorexia nervosa (differential diagnoses)Anxietymedicine.symptombusinessClinical psychologyInternational Journal of Eating Disorders
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Diurnal changes in the perception of emotions in music: Does the time of day matter?

2014

According to the Hindustani music tradition, the ability of a song to induce certain emotions depends on the time of day: playing a song at the right time is said to maximise its emotional effect. The present exploratory study investigated this claim by combining findings in chronobiology, mood research and music perception. It has already been established that some aspects of our mood fluctuations follow a cyclical pattern. Besides, it is a known fact that our current mood influences our perception and assessment of emotions. However, these elements have never been linked together in a study examining the effect of mood cyclicity on perceived emotions in music. To test the hypothesis of a…

ChronobiologyIndian classical musicmedia_common.quotation_subjectExploratory researchmusiikkiemotionExperimental and Cognitive PsychologySadnessMoodMusic and emotioncircadian rhythmsPerceptionragata6131PsychologySocial psychologyHindustani grammarMusicta515media_commonMorningCognitive psychologyMusicae Scientiae
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Positive mood induction and well being

2009

The aim of this study is to test the role of consecutive positive mood induction virtual procedures on satisfaction of life of people with subclinical levels of sadness and/or anxiety. This is a work in progress and positive effects of mood induction on satisfaction and well being are expected.

Computer sciencemedia_common.quotation_subjectbehavioral disciplines and activitiesSadnessAtmospheric measurementsMoodMood inductionmental disordersWell-beingmedicineAnxietyPositive psychologymedicine.symptompsychological phenomena and processesmedia_commonClinical psychologySubclinical infection2009 2nd Conference on Human System Interactions
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The relationship between health-related quality of life and melancholic depressive symptoms is modified by brain insulin receptor gene network

2021

AbstractTo investigate whether expression-based polygenic risk scores for the insulin receptor gene network (ePRS-IRs) modifiy the association between type of depressive symptoms and health-related quality of life (HRQoL). This cross-sectional study includes 1558 individuals from the Helsinki Birth Cohort Study. Between 2001 and 2004, the Short Form-36 questionnaire was employed to assess mental and physical components of HRQoL and Beck Depression Inventory (BDI) to assess depressive symptoms. Depressive symptoms were categorized into minimal (BDI &lt; 10), non-melancholic and melancholic types of depression. The ePRS-IRs were calculated for the hippocampal (hePRS-IR) and the mesocorticolim…

DISORDERMaleglukoosiaineenvaihduntaelämänlaatuBody Mass Index0302 clinical medicineQuality of lifeSurveys and QuestionnairesMedicineGene Regulatory NetworksDepression (differential diagnoses)METABOLIC SYNDROME2. Zero hunger0303 health sciencesMultidisciplinarydiabetesDepressionQDiabetesRBrainASSOCIATIONriskitekijätMiddle AgedhumanitiesPREVALENCEINVENTORY-IIMedicineFemalegeneettiset tekijätmasennusQuality of lifeRiskmedicine.medical_specialtySciencePopulation stratificationRisk AssessmentArticle03 medical and health sciencesAntigens CDInternal medicineSadnessHumansGenetic Predisposition to DiseaseMETAANALYSISDepressive symptoms030304 developmental biologyAgedHealth related quality of lifePsychiatric Status Rating ScalesDepressive Disorderbusiness.industryterveydentilaInsulin Receptor GeneBeck Depression InventoryReceptor InsulinPSYCHOMETRIC PROPERTIESCross-Sectional StudiesGene Expression Regulation3121 General medicine internal medicine and other clinical medicinebusinessBody mass indexRESISTANCE030217 neurology & neurosurgery
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A Data-Driven Approach to Dynamically Learn Focused Lexicons for Recognizing Emotions in Social Network Streams

2016

Opinion Mining aims at identifying and classifying subjective information in a collection of documents. A variety of approach exists in literature, ranging from Supervised Learning to Unsupervised Learning. Currently, one of the biggest opinion resource of opinionated texts existing on the Web is represented by Social Networks. Networks are not only a vast collection of documents but they also represent a dynamic evolving resource as the users keep posting their own opinions. We based our work relying on this idea of dynamicity, building an evolving model that updates itself in real time as users submit their posts. This is done through a set of supervised techniques based on a Lexi- con of…

Emotion AnalysisSocial networkbusiness.industrymedia_common.quotation_subjectSentiment analysisSupervised learningDynamic web pageWorld Wide WebSadnessSurpriseResource (project management)Social NetworksUnsupervised learningData-driven modelsArtificial intelligencebusinessPsychologymedia_common
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Exploring relationships between audio features and emotion in music

2009

In this paper, we present an analysis of the associations between emotion categories and audio features automatically extracted from raw audio data. This work is based on 110 excerpts from film soundtracks evaluated by 116 listeners. This data is annotated with 5 basic emotions (fear, anger, happiness, sadness, tenderness) on a 7 points scale. Exploiting state-of-the-art Music Information Retrieval (MIR) techniques, we extract audio features of different kind: timbral, rhythmic and tonal. Among others we also compute estimations of dissonance, mode, onset rate and loudness. We study statistical relations between audio descriptors and emotion categories confirming results from psychological …

Emotion classificationmedia_common.quotation_subjectSpeech recognitionAngerLoudnessSadnessBehavioral NeurosciencePsychiatry and Mental healthRaw audio formatMode (music)Neuropsychology and Physiological PsychologyNeurologyHappinessMusic information retrievalPsychologyBiological Psychiatrymedia_commonFrontiers in Human Neuroscience
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First impression misleads emotion recognition

2019

Recognition of others' emotions is a key life ability that guides one's own choices and behavior, and it hinges on the recognition of others' facial cues. Independent studies indicate that facial appearance-based evaluations affect social behavior, but little is known about how facial appearance-based trustworthiness evaluations influence the recognition of specific emotions. We tested the hypothesis that first impressions based on facial appearance affect the recognition of basic emotions. A total of 150 participants completed a dynamic emotion recognition task. In a within-subjects design, the participants viewed videos of individuals with trustworthy-looking, neutral, or untrustworthy-lo…

Emotion classificationmedia_common.quotation_subjectlcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAngerAffect (psychology)050105 experimental psychologysocial behavior03 medical and health sciences0302 clinical medicineemotion recognitionPsychology0501 psychology and cognitive sciencesEmotional expressionFirst impression (psychology)GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)General PsychologyOriginal Researchmedia_commonSocial perception05 social sciencessocial perceptiontrustworthinessSadnesslcsh:PsychologyHappinessPsychologyinterpersonal interaction030217 neurology & neurosurgeryCognitive psychology
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