0000000000583227

AUTHOR

Riitta Hari

showing 2 related works from this author

Brain and behavioral alterations in subjects with social anxiety dominated by empathic embarrassment

2020

Significance People are increasingly affected by social anxiety that includes emotional hypersensitivity and inaccurate interpretation of social encounters, and varies markedly in its subjective manifestations. We searched for insights into the underlying neurocognitive mechanisms of Taijin-kyofusho (TKS), a specific subtype of social-anxiety disorder common in East Asia and dominated by empathic or other-oriented embarrassment. We found TKS to be characterized by enhanced affective and reduced cognitive empathy. Moreover, analysis of functional MRI data—collected while subjects viewed videos of badly singing people—revealed disruption of the cognitive–empathy network, possibly obstructing …

Malesosiaalisten tilanteiden pelkoBrain activity and meditationmedia_common.quotation_subjectEmotionsSOCIAL ANXIETYintersubject correlationTemporoparietal junctionEMPATHYInferior frontal gyrusEmbarrassmentEmpathy050105 experimental psychologyINTERSUBJECT CORRELATIONYoung Adult03 medical and health sciencesCognitiontoiminnallinen magneettikuvaus0302 clinical medicineempatiamedicineHumans0501 psychology and cognitive sciencesFUNCTIONAL MAGNETIC RESONANCE IMAGINGembarrassmentempathymedia_commonBrain MappingMultidisciplinary05 social sciencesSocial anxietyCognitive flexibilityBrainPhobia SocialBiological SciencesMagnetic Resonance Imagingfunctional magnetic resonance imagingembarrasmentmedicine.anatomical_structurePosterior cingulateFemalesocial anxietyPsychologyEMBARRASSMENT030217 neurology & neurosurgeryNeuroscienceClinical psychologyProceedings of the National Academy of Sciences
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Functional Brain Segmentation Using Inter-Subject Correlation in fMRI

2016

The human brain continuously processes massive amounts of rich sensory information. To better understand such highly complex brain processes, modern neuroimaging studies are increasingly utilizing experimental setups that better mimic daily‐life situations. A new exploratory data‐analysis approach, functional segmentation inter‐subject correlation analysis (FuSeISC), was proposed to facilitate the analysis of functional magnetic resonance (fMRI) data sets collected in these experiments. The method provides a new type of functional segmentation of brain areas, not only characterizing areas that display similar processing across subjects but also areas in which processing across subjects is h…

Time FactorsComputer science0302 clinical medicinetoiminnallinen magneettikuvausImage Processing Computer-AssistedCluster AnalysisSegmentationResearch Articlesinter-subject variabilityBrain Mappingshared nearest-neighborgraphmedicine.diagnostic_test05 social sciencesBrainHuman brainMiddle AgedMagnetic Resonance Imagingmedicine.anatomical_structurefunctional segmentationGaussian mixture modelGraph (abstract data type)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beinginter-subject correlationAlgorithmsAdultshared nearest-neighbor graphModels NeurologicalSensory system050105 experimental psychology03 medical and health sciencesYoung AdultNeuroimagingSDG 3 - Good Health and Well-beingmedicineHumans0501 psychology and cognitive sciencesComputer SimulationCluster analysishuman brainCommunicationbusiness.industryMagnetic resonance imagingPattern recognitionfunctional magnetic resonance imagingOxygenAffinity propagationnaturalistic stimulationArtificial intelligencebusiness030217 neurology & neurosurgery
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