Visual information involving facial identity and expression is crucial for social communication. Although the influence of facial features such as spatial frequency (SF) and luminance on face processing in visual areas has been studied extensively using grayscale stimuli, the combined effects of other features in this process have not been characterized. To determine the combined effects of different SFs and color, we created chromatic stimuli with low, high or no SF components, which bring distinct SF and color information into the ventral stream simultaneously. To obtain neural activity data with high spatiotemporal resolution we recorded face-selective responses (M170) using magnetoencephalography. We used a permutation test procedure with threshold-free cluster enhancement to assess statistical significance while resolving problems related to multiple comparisons and arbitrariness found in traditional statistical methods. We found that time windows with statistically significant threshold levels were distributed differently among the stimulus conditions. Face stimuli containing any SF components evoked M170 in the fusiform gyrus (FG), whereas a significant emotional effect on M170 was only observed with the original images. Low SF faces elicited larger activation of the FG and the inferior occipital gyrus than the original images, suggesting an interaction between low and high SF information processing. Interestingly, chromatic face stimuli without SF first activated color-selective regions and then the FG, indicating that facial color was processed according to a hierarchy in the ventral stream. These findings suggest complex effects of SFs in the presence of color information, reflected in M170, and unveil the detailed spatiotemporal dynamics of face processing in the human brain.
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http://dx.doi.org/10.1016/j.neuroimage.2021.118325 | DOI Listing |
Sci Rep
January 2025
College of Computer Sciences, Anhui University, Hefei, 230039, China.
Decoding the semantic categories of complex sceneries is fundamental to numerous artificial intelligence (AI) infrastructures. This work presents an advanced selection of multi-channel perceptual visual features for recognizing scenic images with elaborate spatial structures, focusing on developing a deep hierarchical model dedicated to learning human gaze behavior. Utilizing the BING objectness measure, we efficiently localize objects or their details across varying scales within scenes.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Brain Electrophysiology and Epilepsy Lab (BEE-L), Epilepsy and EEG Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
We aimed to study the effect of Parkinson's disease (PD) and motor-cognitive load on the interplay between activation level and spatial complexity. To that end, 68 PD patients and 30 controls underwent electroencephalography (EEG) recording while executing visual single- and dual- Go/No-go tasks. The EEG underwent source localization, followed by parcellation of the neural activity into 116 regions of interest.
View Article and Find Full Text PDFBiosens Bioelectron
December 2024
Shenzhen Bay Laboratory, Shenzhen, 518132, China. Electronic address:
Here, we developed nanobody-assisted nanoluciferase fragment complementation for in situ measurement and visualization of endogenous protein-protein interaction (NanaPPI). When an interaction occurs, primary antibodies for two proteins bring the proximity of secondary nanobody-fused small/large fragment to reassemble into an intact NanoLuc variant, thus transforming interaction events to luminescent signals in situ with high sensitivity. Compared to proximity ligation assay, NanaPPI has a similar signal-to-background ratio, but it is more convenient with faster procedures, easier readout and lower cost.
View Article and Find Full Text PDFJ Vis
January 2025
Department of Psychology, University of Washington, Seattle, WA, USA.
The population receptive field (pRF) method, which measures the region in visual space that elicits a blood-oxygen-level-dependent (BOLD) signal in a voxel in retinotopic cortex, is a powerful tool for investigating the functional organization of human visual cortex with fMRI (Dumoulin & Wandell, 2008). However, recent work has shown that pRF estimates for early retinotopic visual areas can be biased and unreliable, especially for voxels representing the fovea. Here, we show that a log-bar stimulus that is logarithmically warped along the eccentricity dimension produces more reliable estimates of pRF size and location than the traditional moving bar stimulus.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: In Alzheimer's disease (AD), specific brain regions become vulnerable to pathology while others remain resilient. New methods of imaging such as highly multiplexed immunofluorescence (MxIF) provide an abundance of spatial information, while analytical techniques like machine learning (ML) can address questions of cellular contributors to this regional vulnerability.
Method: We performed MxIF staining for 26 markers and compared postmortem human samples from an AD-susceptible brain area, the prefrontal cortex (PFC, Brodmann's areas 9, 10 or 46) to an AD-resilient brain area, the primary visual cortex (V1, area 17).
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