The development of neuroimaging methods such as PET, has provided a new impulse to the study of the neural basis of cognitive functions, and has extended the field of inquiry from the analysis of the consequences of brain lesions to the functional investigations of brain activity, either in patients with selective neuropsychological deficits or in normal subjects engaged in cognitive tasks. Specific patterns of hypometabolism in neurological patients are associated with different profiles of memory deficits. [18F]FDG PET studies have confirmed the association of episodic memory with the structures of Papez's circuit and have shown correlations between short-term and semantic memory and the language areas. The identification of anatomo-functional networks involved in specific components of memory function in normal subjects is the aim of several PET activation studies. The results are in agreement with 'neural network' models of the neural basis of memory, as complex functions subserved by multiple interconnected cortical and subcortical structures.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0764-4469(97)89822-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Light-eye-body axis: exploring the network from retinal illumination to systemic regulation.
Theranostics
January 2025
Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
The human body is an intricate system, where diverse and complex signaling among different organs sustains physiological activities. The eye, as a primary organ for information acquisition, not only plays a crucial role in visual perception but also, as increasing evidence suggests, exerts a broad influence on the entire body through complex circuits upon receiving light signals which is called non-image-forming vision. However, the extent and mechanisms of light's impact on the body through the eyes remain insufficiently explored.
View Article and Find Full Text PDFConstruction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model.
Sci Rep
January 2025
Key Laboratory of Karst Georesources and Environment, College of Resources and Environmental Engineering, Guizhou University, Ministry of Education, Guizhou University, Guiyang, 550025, China.
Mine water influx is a significant geological hazard during mine development, influenced by various factors such as geological conditions, hydrology, climate, and mining techniques. This phenomenon is characterized by non-linearity and high complexity, leading to frequent water accidents in coal mines. These accidents not only impact coal production quality but also jeopardize the safety of mine staff.
View Article and Find Full Text PDFSpeech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview.
J Speech Lang Hear Res
January 2025
Centre for Language Studies, Radboud University, Nijmegen, the Netherlands.
Purpose: In this review article, we present an extensive overview of recent developments in the area of dysarthric speech research. One of the key objectives of speech technology research is to improve the quality of life of its users, as evidenced by the focus of current research trends on creating inclusive conversational interfaces that cater to pathological speech, out of which dysarthric speech is an important example. Applications of speech technology research for dysarthric speech demand a clear understanding of the acoustics of dysarthric speech as well as of speech technologies, including machine learning and deep neural networks for speech processing.
View Article and Find Full Text PDFMapping Trajectories of Gait Recovery in Clinical Stroke Rehabilitation.
Neurorehabil Neural Repair
January 2025
Department of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
Background: How gait changes during the early stages of stoke rehabilitation, and which patient characteristics are associated with these changes is still largely unknown.
Objective: he first objective was to describe the changes in gait during stroke rehabilitation. Secondly, we determined how various patient characteristics were associated with the rate of change of gait over time.
AI-enhanced X-ray spectrum reconstruction for medical imaging system.
Appl Radiat Isot
January 2025
School of Artificial Intelligence, Wenzhou Polytechnic, Wenzhou, 325035, China. Electronic address:
For the purpose of assessing image quality and calculating patient X-ray dosage in radiology, computed tomography (CT), fluoroscopy, mammography, and other fields, it is necessary to have prior knowledge of the X-ray energy spectrum. The main components of an X-ray tube are an electron filament, also known as the cathode, and an anode, which is often made of tungsten or rubidium and angled at a certain angle. At the point where the electrons generated by the cathode and the anode make contact, a spectrum of X-rays with energies spanning from zero to the maximum energy value of the released electrons is created.
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!