Visual evoked potentials were recorded from the occipital, parietal, central, frontal, and posterior temporal areas of the cortex during recognition of emotionally positive, negative and neutral facial expressions and during passive observation in 22 right-handed healthy subjects. These studies showed that in the posterior temporal areas, the latencies of the N90, P150, and N180 waves of potentials evoked by faces with emotionally negative expressions were significantly shorter than those evoked by other types of facial stimuli. Differences were seen both on recognition and during passive observation. Correct recognition involved both hemispheres and was characterized by high levels of interhemisphere temporal correlation of the processes occurring during the development of the P150 wave in the posterior temporal and the N180 wave in the frontal parts of the cortex. The possible relationship of these data to primary subthreshold recognition of facial expressions in the posterior temporal fields of the cortex is discussed, as is the role of the frontal cortex in completing this process and in taking the correct decision about the nature of the image.
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Am J Ophthalmol Case Rep
December 2024
Genomic Laboratory, Umraniye Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Purpose: To report the posterior segment findings in a case with a biallelic frameshift pathogenic variant at chromosome 10 c.616del exon7 p.(His206Thrfs∗61).
View Article and Find Full Text PDFCureus
November 2024
Otolaryngology - Head and Neck Surgery, Konkuk University Medical Center, Seoul, KOR.
A 31-year-old woman presented with intermittent otalgia in the right ear, reporting severe pain during flights. The patient denied performing habitual Valsalva maneuvers. Otoendoscopic examination revealed hyperectatic herniation of the posterior portion of the right tympanic membrane (TM).
View Article and Find Full Text PDFFront Neurol
December 2024
State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Introduction: Disorders of consciousness (DoC) from severe brain injuries have significant impacts. However, further research on nuanced biomarkers is needed to fully understand the condition. This study employed resting-state functional MRI (rs-fMRI) and the amplitude of low-frequency fluctuation (ALFF) to investigate differential brain activity in patients with DoC following spinal cord stimulation (SCS) therapy.
View Article and Find Full Text PDFBrain Dev
December 2024
Division of Neurology, Saitama Children's Medical Center, 1-2 Chuo-ku Saitama-shi, Saitama 330-8777, Japan.
Purpose: This study aimed to elucidate the distribution of intracranial gamma-aminobutyric acid (GABA) receptors in patients with infantile epileptic spasms syndrome (IESS) of normal brain MRI findings using I-iomazenil single-photon emission computed tomography (IMZ-SPECT).
Methods: This retrospective study compared IMZ-SPECT images from 20 patients with IESS of unknown etiology with normal brain MRI (unknown IESS group) and 23 patients with developmentally normal epilepsy of the same age (developmentally normal group). A three-dimensional stereotactic region of interest (ROI) template was used to divide the brain into 24 segments (left and right callosomarginal, precentral, central, parietal, angular, temporal, posterior cerebral, pericallosal, lenticular nucleus, thalamus, hippocampus, and cerebellum), and the mean accumulation of I-iomazenil in each ROI was calculated.
J Autism Dev Disord
December 2024
School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China.
Autism spectrum disorder (ASD) has been reported to exhibit altered local functional consistency. However, previous studies mainly focused on male samples and explored the temporal consistency in the ASD brain ignoring the spatial consistency. In this study, FOur-dimensional Consistency of local neural Activities (FOCA) analysis was used to investigate the sex differences of local spatiotemporal consistency of spontaneous brain activity in ASD.
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