AI Article Synopsis
Article Abstract
Patients with Alzheimer's disease (AD) display a multiplicity of cognitive deficits in domains such as memory, language, and attention, all of which can be clearly linked to the underlying neuropathological alterations. The typical degenerative changes occur early on in the disease in the temporal-parietal lobes, with other brain regions, such as the frontal cortex, becoming more affected as the disease progresses. In light of the importance of the parietal cortex in mediating visuospatial attentional processing, in the present study, we investigated a deficit in covert orienting of visual attention and its relationship to cortical hypoperfusion in AD. We characterized the visual attentional profile of 21 AD patients, relative to that of 26 matched normal individuals, and then assessed the correspondence between behavior and hypoperfusion, as measured by regional cerebral blood flow using SPECT. Relative to controls, the AD group demonstrated a unilateral attentional deficit, with disproportionate slowing in reorienting attention to targets in the left compared to the right hemispace, especially following an invalid peripheral cue. Furthermore, even in the presence of bilateral pathology typical of AD, there was a positive correlation between this unilateral attentional disorder and the magnitude of the right superior parietal lobe hypoperfusion. The association of the altered attentional processing profile (i.e., greater difficulty disengaging attention from right-sided stimuli) with right-hemisphere-predominant hypoperfusion not only confirms the critical role of the right parietal lobe in covert attentional orienting but, more importantly, identifies a potential locus of the behavioral alterations in visuospatial processing in AD.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.neuropsychologia.2011.02.052 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A hybrid network using transformer with modified locally linear embedding and sliding window convolution for EEG decoding.
J Neural Eng
December 2024
West China Hospital of Sichuan University, No.37 Guoxue Alley, Wuhou District, Chengdu City, Sichuan Province, Chengdu, Sichuan, 610041, CHINA.
Objective: Brain-computer interface(BCI) is leveraged by artificial intelligence in EEG signal decoding, which makes it possible to become a new means of human-machine interaction. However, the performance of current EEG decoding methods is still insufficient for clinical applications because of inadequate EEG information extraction and limited computational resources in hospitals. This paper introduces a hybrid network that employs a Transformer with modified locally linear embedding and sliding window convolution for EEG decoding.
View Article and Find Full Text PDF[Differentiated approach to cognitive rehabilitation of patients after stroke].
Vopr Kurortol Fizioter Lech Fiz Kult
December 2024
S.I. Spasokukotsky Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine, Moscow, Russia.
Unlabelled: Post-stroke cognitive impairments are widespread and significantly reduce the quality of life and rehabilitation prognosis of patients. Clinical observations show a serious variability of cognitive impairments in patients after acute cerebrovascular accident. Thus, the classification of above mentioned disorders, based on which it would be possible to determine the order of individualization of a cognitive rehabilitation program, is currently not available in literature.
View Article and Find Full Text PDFUnderstanding how ecological communities assemble in relation to natural and human-induced environmental changes is critical, particularly for communities of pollinators that deliver essential ecosystem services. Despite widespread attention to interactions between functional traits and community responses to environmental changes, the importance of sensory traits has received little attention. To address this, we asked whether visual traits of bumblebee communities varied at large geographical scales along a habitat gradient of increased tree cover.
View Article and Find Full Text PDFImaging Lipidomics and Metallomics of Brown Rice Cultivars Used for Sake Production.
Mass Spectrom (Tokyo)
December 2024
Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Many previous studies have reported various phospholipids and elements that affect sake production; however, it seems to be challenging to investigate individual types in each rice variety due to their high diversity, not to mention their distribution patterns. Since its introduction, mass spectrometry imaging (MSI) has gained attention in various fields as a simple compound visualization technique. The current study highlights the progress of powerful MSI in comprehensively analyzing phospholipids and minerals in brown rice for sake production.
View Article and Find Full Text PDFBackground: Cerebral ischemia or stroke is the second leading cause of death in the world, and most surviving patients suffer from long-term physical and cognitive disabilities, which create many social and economic problems for them and society. Visual attention impairment is a common cognitive complication among patients with cerebral ischemia, especially in the Middle Cerebral Artery (MCA). One way to improve attention in these patients is cognitive rehabilitation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!