Using fMRI virtual-reality technology to predict driving ability after brain damage: a preliminary report.

Neurosci Lett

Neuroscience Research Program, Keenan Research Centre for Biomedical Science of St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada; Department of Surgery, Neurosurgery Division, University of Toronto, Canada. Electronic address:

Published: January 2014

The cerebellum, which is important for movement control and planning, is often affected by many neurological conditions. Until now there has been limited information regarding how the function of the cerebellum impacts driving ability. This study used fMRI with an integrated virtual reality driving simulator to determine which aspects of driving performance are related to the cerebellum in healthy drivers (Experiment 1). It also investigated drivers with focal cerebellar lesions to identify how damage to this brain region impairs driving abilities. The results showed that cerebellar functioning is responsible for motor-speed coordination and complex temporal-motor integration necessary to execute driving behaviours. As predicted, drivers with cerebellar damage, showed significantly compromised speed control during basic driving conditions, whereas their ability to perform during interactive driving situations was preserved. New insights into neural mechanisms and brain plasticity regarding driving behaviour are discussed. Strategies in assessing and rehabilitating drivers with related neurological conditions are provided.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.neulet.2013.10.065DOI Listing

Publication Analysis

Top Keywords

driving
9
driving ability
8
neurological conditions
8
fmri virtual-reality
4
virtual-reality technology
4
technology predict
4
predict driving
4
ability brain
4
brain damage
4
damage preliminary
4

Similar Publications

Marine and atmospheric transport modeling supporting nuclear preparedness in Norway: Recent achievements and remaining challenges.

Sci Total Environ

January 2025

Center for Environmental Radioactivity (CERAD) CoE, Norwegian University of Life Sciences, P.O. Box 5003, N-1432 Ås, Norway; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), P.O.Box 5003, NO-1432 Ås, Norway.

Numerical transport models are important tools for nuclear emergency decision makers in that they rapidly provide early predictions of dispersion of released radionuclides, which is key information to determine adequate emergency protective measures. They can also help us understand and describe environmental processes and can give a comprehensive assessment of transport and transfer of radionuclides in the environment. Transport of radionuclides in air and ocean is affected by a number of different physico-chemical processes.

View Article and Find Full Text PDF

Most Mediterranean ecosystems have been profoundly shaped by wildfires, driving the evolution of plant species. Through photo interpretation and field inventories, this research assessed vegetation dynamics from 1984 to 2021, examining how fire severity and recurrence, key fire regime variables, influenced changes in structure and woody species diversity. Using two burn scars (1988 and 2006), we identified four scenarios dominated by Pinus pinea tree species: control (unburned), areas burned once (either in 1988 or 2006), and twice (in both 1988 and 2006).

View Article and Find Full Text PDF

JMJD8 regulates adipocyte hypertrophy through the interaction with Perilipin 2.

Diabetes

January 2025

Nutritional Sciences and Toxicology Department, University of California Berkeley, Berkeley, CA 94720, US.

Adipocyte hypertrophy significantly contributes to insulin resistance and metabolic dysfunction. Our previous research established JMJD8 as a mediator of insulin resistance, noting its role in promoting adipocyte hypertrophy within an autonomous adipocyte context. Nevertheless, the precise mechanisms underlying this phenomenon remained elusive.

View Article and Find Full Text PDF

Refining fine-mapping: Effect sizes and regional heritability.

PLoS Genet

January 2025

Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

Recent statistical approaches have shown that the set of all available genetic variants explains considerably more phenotypic variance of complex traits and diseases than the individual variants that are robustly associated with these phenotypes. However, rapidly increasing sample sizes constantly improve detection and prioritization of individual variants driving the associations between genomic regions and phenotypes. Therefore, it is useful to routinely estimate how much phenotypic variance the detected variants explain for each region by taking into account the correlation structure of variants and the uncertainty in their causal status.

View Article and Find Full Text PDF

Distinct brain circuits control sex preferences in mice.

View Article and Find Full Text PDF

Want 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!