The role of the dorsal striatum in the recognition of emotions expressed by voice in Parkinson’s disease
Autor: | Maria Rita Ciceri, Monia Cabinio, Sonia Di Tella, Federica Biassoni, Francesca Baglio, Maria Caterina Silveri, Isabella Anzuino, Martina Gnerre, Raffaello Nemni |
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Rok vydání: | 2021 |
Předmět: |
Dorsum
medicine.medical_specialty Neurology Parkinson's disease Settore M-PSI/02 - PSICOBIOLOGIA E PSICOLOGIA FISIOLOGICA media_common.quotation_subject Emotions Dermatology Striatum Neuropsychological Tests Audiology Emotional processing Dorsal striatum 03 medical and health sciences 0302 clinical medicine Emotional prosody medicine Humans Psychology 030212 general & internal medicine media_common Negative emotions Parkinson’s disease (PD) Recognition of emotions Structural MRI business.industry Recognition Psychology Parkinson Disease General Medicine medicine.disease Facial Expression Sadness Recognition Psychiatry and Mental health Voice Neurology (clinical) business 030217 neurology & neurosurgery Sentence |
Zdroj: | Neurological Sciences. 42:2085-2089 |
ISSN: | 1590-3478 1590-1874 |
DOI: | 10.1007/s10072-020-04959-5 |
Popis: | Non-motor impairment such as emotion recognition deficit in both facial and vocal expressions has been previously reported in Parkinson’s disease (PD). We investigated whether the decoding of emotional prosody is impaired in PD and whether this deficit is related to striatal damage. Fifteen PD patients and 15 healthy controls (HCs) were requested to listen to six audio tracks and to recognize the emotions expressed by a professional actor while reading a meaning-neutral sentence. All subjects also received a structural MRI examination. Volumetric measurements were extracted for the striatum, a key region involved in emotional processing and typically impaired in PD. Decoding sadness conveyed by voice was impaired in PD compared with HC and was related to the volume of the dorsal striatum bilaterally. The dorsal striatum is involved in the decoding of vocal negative emotions in PD. |
Databáze: | OpenAIRE |
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