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Pareidolias are visual illusions of meaningful objects, such as faces and animals, that arise from ambiguous forms embedded in visual scenes. Pareidolias and visual hallucinations have been suggested to have a common underlying neural mechanism in patients with dementia with Lewy bodies (DLB). The aim of the present study was to find an externally observable physiological indicator of pareidolias. Using a pareidolia test developed by Uchiyama and colleagues, we evoked pareidolias in patients with DLB and recorded the resultant changes in the diameters of their pupil. The time frequencies of changes in pupil diameters preceding pareidolic utterances and correct utterances by the patients, as well as correct utterances by healthy control participants, were analyzed by a fast Fourier transform program. The power at time frequencies of 0-0.46 Hz was found to be greatest preceding pareidolic utterances in patients with DLB, followed by that preceding correct utterances in control participants, followed by that preceding correct utterances in patients with DLB. When the changes in power preceding the utterance were greater than the median value of correct utterances by the control group, the frequency of pareidolic utterances was significantly greater than that of correct utterances and when the changes were the same as or lower than the median value, the frequency of correct utterances was significantly greater than that of pareidolic utterances. Greater changes in power preceding the utterance at time frequencies of 0-0.46 Hz may thus be an externally observable physiological indicator of the occurrence of pareidolias.
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http://dx.doi.org/10.1097/WNR.0000000000000735 | DOI Listing |
Am J Speech Lang Pathol
August 2025
Department of Biostatistics, University of Iowa, Iowa City.
Purpose: Speech-language pathologists and people with aphasia recognize the importance of social conversation (Wallace et al., 2017; Worrall et al., 2011).
View Article and Find Full Text PDFData Brief
August 2025
Department of Computer Science, College of Science, University of Halabja, Kurdistan Region, F.R., Halabja, Iraq.
Speech is the most fundamental and sophisticated channel of human communication, and breakthroughs in Natural Language Processing (NLP) have substantially raised the quality of human-computer interaction. In particular, new wave of deep learning methods have significantly advanced human speech recognition by obtaining fine-grained acoustic cues including pitch, an acoustic feature that can be a critical ingredient in understanding communicative intent. Pitch variation is in particular important for prosodic classification tasks (i.
View Article and Find Full Text PDFJ Speech Lang Hear Res
August 2025
Department of Otolaryngology, Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, China.
Purpose: Cochlear implant (CI) listeners have deficits in emotional perception due to limited spectrotemporal fine structure. Contralateral hearing aids (HAs) carry additional acoustic cues for emotion recognition and improve the quality of life (QoL) in these individuals. This study aimed to investigate the effects of HAs on voice emotion recognition in Mandarin-speaking bimodal adults.
View Article and Find Full Text PDFObjective: Show that a basic unsupervised machine-learning algorithm can give information on whether a child reacted to a sound using facial, non-identifyable features recorded with a camera.
Design: Infants and toddlers were presented warble tones or single-syllable utterances 45 degrees to the left or to the right. A camera recorded their reactions, from which features like head turns or eye gaze were extracted with OpenFace.
Objectives: Children with ADHD obtain lower scores than their peers on standardized language measures but less is known about their conversational language skills. We tested the ability of children with and without ADHD to monitor and repair their language during a conversation (social discourse) with a young adult.
Methods: Forty-nine 9- to 14-year-old children previously diagnosed with ADHD (17 in partial remission) and an age and sex-matched sample of typically developing (TD) children engaged in a conversation with a young adult.