It is debated whether the amygdala is critical for the emotional modulation of attention. While some studies show reduced attentional benefits for emotional stimuli in amygdala-damaged patients, others report preserved emotional effects. Various factors may account for these discrepant findings, including the temporal onset of the lesion, the completeness and severity of tissue damage, or the extent of neural plasticity and compensatory mechanisms, among others. Here, we investigated a rare patient with focal acute destruction of bilateral amygdala and adjacent hippocampal structures after late-onset herpetic encephalitis in adulthood. We compared her performance in two classic visual attention paradigms with that of healthy controls. First, we tested for any emotional advantage during an attentional blink task. Whereas controls showed better report of fearful and happy than neutral faces on trials with short lags between targets, the patient showed no emotional advantage, but also globally reduced report rates for all faces. Second, to ensure that memory disturbance due to hippocampal damage would not interfere with report performance, we also used a visual search task with either emotionally or visually salient face targets. Although the patient still exhibited efficient guided search for visually salient, non-emotional faces, her search slopes for emotional versus neutral faces showed no comparable benefit. In both tasks, however, changes in the patient predominated for happy more than fear stimuli, despite her normal explicit recognition of happy expressions. Our results provide new support for a causal role of the amygdala in emotional facilitation of visual attention, especially under conditions of increasing task-demands, and not limited to negative information. In addition, our data suggest that such deficits may not be amenable to plasticity and compensation, perhaps due to sudden and late-onset damage occurring in adulthood.
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http://dx.doi.org/10.1016/j.neuropsychologia.2019.107292 | DOI Listing |
Sci Rep
January 2025
Department of Computer Science and Technology, Qilu University of Technology, No. 3501 Daxue Road, Jinan, 250300, Shandong, China.
Feature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. We introduce the SwinMatcher feature matching method, aimed at addressing the issues of low matching quantity and poor matching precision in weakly textured scenes. Given the inherently significant local characteristics of image features, we employ a local self-attention mechanism to learn from weakly textured areas, maximally preserving the features of weak textures.
View Article and Find Full Text PDFNeuropsychologia
January 2025
Instituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain; Dpto. Psicología Experimental, Procesos Cognitivos y Logopedia, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Nebrija en Cognición (CINC), Universidad Nebrija, Madrid, Spain.
Previous research has explored the brain correlates of perceptual grouping but, to our knowledge, no preceding study has investigated the neural dynamics of the competition between intrinsic and extrinsic grouping principles in vision. The present event-related potentials (ERPs) study aimed at characterizing the temporal neural dynamics of the direct competition between extrinsic (i.e.
View Article and Find Full Text PDFAppl Neuropsychol Child
January 2025
School of Interdisciplinary Studies and Research, DY Patil International University (DYPIU), Akurdi, Pune, India.
Attention deficit/hyperactive disorder is increasing in prevalence among children all over the world which affects the children's communication, learning, and behavior, which in turn affects the quality of life. The depolarization of neurons is modulated by neural stimulation which triggers activity-based mechanisms of neuroplasticity. An external periodic stimulus that can modify the oscillations of the brain through synchronization is called entrainment.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.
Purpose: The purpose of this study was to develop a deep learning approach that restores artifact-laden optical coherence tomography (OCT) scans and predicts functional loss on the 24-2 Humphrey Visual Field (HVF) test.
Methods: This cross-sectional, retrospective study used 1674 visual field (VF)-OCT pairs from 951 eyes for training and 429 pairs from 345 eyes for testing. Peripapillary retinal nerve fiber layer (RNFL) thickness map artifacts were corrected using a generative diffusion model.
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