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| http://dx.doi.org/10.1016/j.cell.2012.10.004 | DOI Listing |
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Fixation-related potentials during a virtual navigation task: The influence of image statistics on early cortical processing.
Atten Percept Psychophys
January 2025
U.S. DEVCOM Army Research Laboratory, Humans in Complex Systems, Aberdeen Proving Ground, MD, USA.
Historically, electrophysiological correlates of scene processing have been studied with experiments using static stimuli presented for discrete timescales where participants maintain a fixed eye position. Gaps remain in generalizing these findings to real-world conditions where eye movements are made to select new visual information and where the environment remains stable but changes with our position and orientation in space, driving dynamic visual stimulation. Co-recording of eye movements and electroencephalography (EEG) is an approach to leverage fixations as time-locking events in the EEG recording under free-viewing conditions to create fixation-related potentials (FRPs), providing a neural snapshot in which to study visual processing under naturalistic conditions.
View Article and Find Full Text PDFGreater baseline cortical atrophy in the dorsal attention network predicts faster clinical decline in Posterior Cortical Atrophy.
Alzheimers Res Ther
December 2024
Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Background: Posterior Cortical Atrophy (PCA) is a clinical syndrome characterized by progressive visuospatial and visuoperceptual impairment. As the neurodegenerative disease progresses, patients lose independent functioning due to the worsening of initial symptoms and development of symptoms in other cognitive domains. The timeline of clinical progression is variable across patients, and the field currently lacks robust methods for prognostication.
View Article and Find Full Text PDFGreater baseline cortical atrophy in the dorsal attention network predicts faster clinical decline in Posterior Cortical Atrophy.
medRxiv
October 2024
Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA.
Article Synopsis
- Posterior Cortical Atrophy (PCA) is a syndrome that causes gradual problems with visual processing and spatial awareness, leading to decreased independence as symptoms worsen over time; predicting the disease's progression can be challenging due to individual variability.!* -
- The study involved recruiting PCA patients from a specialized program and using MRI scans to measure cortical thickness, which was then correlated with clinical assessments of cognitive decline over time, focusing on the CDR Sum-of-Boxes score.!* -
- Analysis of data from 34 PCA patients revealed significant cortical atrophy in posterior brain regions, especially in areas responsible for visual processing, indicating that baseline cortical atrophy can be a useful predictor of future cognitive decline in PCA patients.!*
High fat diet affects the hippocampal expression of miRNAs targeting brain plasticity-related genes.
Sci Rep
August 2024
Department of Neuroscience, Università Cattolica del Sacro Cuore, 00168, Rome, Italy.
Metabolic disorders such as insulin resistance and type 2 diabetes are associated with brain dysfunction and cognitive deficits, although the underpinning molecular mechanisms remain elusive. Epigenetic factors, such as non-coding RNAs, have been reported to mediate the molecular effects of nutrient-related signals. Here, we investigated the changes of miRNA expression profile in the hippocampus of a well-established experimental model of metabolic disease induced by high fat diet (HFD).
View Article and Find Full Text PDFA comprehensive data-driven model of cat primary visual cortex.
PLoS Comput Biol
August 2024
Unit of Neuroscience, Information and Complexity (UNIC), CNRS FRE 3693, Gif-sur-Yvette, France.
Knowledge integration based on the relationship between structure and function of the neural substrate is one of the main targets of neuroinformatics and data-driven computational modeling. However, the multiplicity of data sources, the diversity of benchmarks, the mixing of observables of different natures, and the necessity of a long-term, systematic approach make such a task challenging. Here we present a first snapshot of a long-term integrative modeling program designed to address this issue in the domain of the visual system: a comprehensive spiking model of cat primary visual cortex.
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