Objective: To examine the influence of subthalamic nucleus (STN) deep brain stimulation (DBS) on driving in patients with Parkinson disease (PD).
Methods: Using a driving simulator setup proven to reflect on-road driving, 2 main analyses were performed: 1) comparison of driving performance among 23 patients with deep brain surgery (DBS patients), 21 patients without surgery (no-DBS patients), and 21 controls; and 2) analysis of the effect of stimulation vs levodopa on driving performance. To this end, 3 tests were run in the medicated DBS patient cohort, with 3 different conditions: "stimulation on" (STIM) (equated to daily treatment), "stimulation off" (OFF), and "stimulation off/levodopa" (LD) (dosage aimed at maintaining motor status). Differences in driving times and errors among conditions were analyzed.
Results: Age and cognitive deficits influenced driving performance negatively. The no-DBS patient group performed worse in driving time and driving errors than controls. DBS patients drove slower than controls and no-DBS patients. Driving safety was comparable to controls but higher than in no-DBS patients. Within the DBS patient group, driving was more accurate with STIM than with LD, although motor effects did not differ. Driving with STIM, but not with LD, was superior to driving in the OFF condition.
Conclusion: DBS of the STN seems to have a beneficial effect on driving ability in patients with PD, potentially because of nonmotor driving-relevant aspects. Our data suggest that driving permission for DBS-treated patients with PD should not be handled more restrictively than permissions for patients with PD in general.
Classification Of Evidence: This study provides Class IV evidence that STN-DBS in patients with PD is associated with a reduction in driving errors and improvements in driving accuracy in driving simulations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1212/01.wnl.0000438223.17976.fb | DOI Listing |
Circ Res
January 2025
British Heart Foundation Centre for Research Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, James Black Centre, King's College London, United Kingdom (C.Y.H., M.-Y.W., J.T., S.A., L.D., G.A., R.H., C.M.S.).
Background: Vascular calcification is a detrimental aging pathology markedly accelerated in patients with chronic kidney disease. Prelamin A is a biomarker of vascular smooth muscle cell aging that accelerates calcification however the mechanisms remain undefined.
Methods: Vascular smooth muscle cells were transduced with prelamin A using an adenoviral vector and epigenetic modifications were monitored using immunofluorescence and targeted polymerase chain reaction array.
Hypertension
January 2025
Department of Environmental Health, Life Science and Human Technology, Nara Women's University, Japan.
Background: Exposure to cold environments is linked to cold-induced hypertension due to activated sympathetic nerve activity (SNA) and arterial baroreceptor reflex dysfunction. However, direct measurement of SNA during cold-induced hypertension and changes in baroreflex control of SNA remain unexplored.
Methods: Chronically instrumented rats were exposed to cold temperatures (10 °C) over 4 days after a control period (24 °C), and renal and lumbar sympathetic nerve activities were simultaneously measured during cold-induced hypertension.
Nanophotonics
January 2025
Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Sum-frequency generation (SFG) enables the coherent upconversion of electromagnetic signals and plays a significant role in mid-infrared vibrational spectroscopy for molecular analysis. Recent research indicates that plasmonic nanocavities, which confine light to extremely small volumes, can facilitate the detection of vibrational SFG signals from individual molecules by leveraging surface-enhanced Raman scattering combined with mid-infrared laser excitation. In this article, we compute the degree of second order coherence ( (0)) of the upconverted mid-infrared field under realistic parameters and accounting for the anharmonic potential that characterizes vibrational modes of individual molecules.
View Article and Find Full Text PDFFront Plant Sci
January 2025
College of Engineering, South China Agricultural University, Guangzhou, China.
Introduction: Accurate detection and recognition of tea bud images can drive advances in intelligent harvesting machinery for tea gardens and technology for tea bud pests and diseases. In order to realize the recognition and grading of tea buds in a complex multi-density tea garden environment.
Methods: This paper proposes an improved YOLOv7 object detection algorithm, called YOLOv7-DWS, which focuses on improving the accuracy of tea recognition.
Front Genet
January 2025
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): (Georgia State University, Georgia Institute of Technology, and Emory University), Atlanta, GA, United States.
Introduction: Typical adolescent neurodevelopment is marked by decreases in grey matter (GM) volume, increases in myelination, measured by fractional anisotropy (FA), and improvement in cognitive performance.
Methods: To understand how epigenetic changes, methylation (DNAm) in particular, may be involved during this phase of development, we studied cognitive assessments, DNAm from saliva, and neuroimaging data from a longitudinal cohort of normally developing adolescents, aged nine to fourteen. We extracted networks of methylation with patterns of correlated change using a weighted gene correlation network analysis (WCGNA).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!