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The motor cortex and subthalamic nucleus (STN) of patients with Parkinson's disease (PD) exhibit abnormally high levels of electrophysiological oscillations in the ~12-35 Hz beta-frequency range. Recent studies have shown that beta is partly carried forward to regulate future motor states in the healthy condition, suggesting that steady state beta power is lower when a sequence of movements occurs in a short period of time, such as during fast gait. However, whether this relationship between beta power and motor states persists upon parkinsonian onset or in response to effective therapy is unclear. Using a 6-hydroxy dopamine (6-OHDA) rat model of PD and a custom-built behavioral and neurophysiological recording system, we aimed to elucidate a better understanding of the mechanisms underlying cortical beta power and PD symptoms. In addition to elevated levels of beta oscillations, we show that parkinsonian onset was accompanied by a decoupling of movement intensity - quantified as gait speed - from cortical beta power. Although subthalamic deep brain stimulation (DBS) reduced general levels of beta oscillations in the cortex of all PD animals, the brain's capacity to regulate steady state levels of beta power as a function of movement intensity was only restored in animals with therapeutic DBS. We propose that, in addition to lowering general levels of cortical beta power, restoring the brain's ability to maintain this inverse relationship is critical for effective symptom suppression.
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http://dx.doi.org/10.1016/j.nbd.2018.05.013 | DOI Listing |
Eye (Lond)
September 2025
Department of Ophthalmology, Shanghai Key Laboratory of Visual Impairment and Restoration, Eye and ENT Hospital, Fudan University, Shanghai, China.
Objectives: To compare the accuracy of two different corneal refractive power measurements in intraocular lens (IOL) power calculation in post-myopic-LASIK eyes.
Methods: Post-myopic-LASIK patients scheduled for cataract surgery were enrolled. Corneal refractive power centred on corneal apex (K) and pupil centre (K), decentration of ablation zone, and Kappa angle were measured by Pentacam.
Liver Int
October 2025
Division of Gastroenterology and Hepatology, Department of Medicine, The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research & Cold Spring Harbor Laboratory, Northwell Health, Manhasset, New York, USA.
Background: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths, primarily due to late-stage diagnosis. In this multicenter study, our goal is to identify functional biomarkers that stratify the risk of HCC in patients with cirrhosis (CP) for early diagnosis.
Methods: Five thousand and eight serum proteins (Somascan) were analysed in Cohort A (477 CP, including 125 HCC).
Front Neurol
August 2025
The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Background: After stroke, upper limb dysfunction seriously affects patients' quality of life. The uncertain prognosis of patients poses a challenge for therapists in developing personalized rehabilitation programs. Electroencephalograph (EEG) power spectrum changes during rehabilitation training may have a predictive effect on the improvement of upper limb movement.
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June 2025
Sleep and Performance Research Center, Washington State University, Spokane, WA, United States.
Study Objectives: There are large individual differences in the homeostatic response to sleep deprivation, as reflected in slow wave sleep (SWS) and electroencephalogram (EEG) spectral power, which have largely been left unexplained. Recent evidence suggests the possible involvement of the activity-regulated cytoskeleton-associated protein () gene. Here we assessed the effects of the "c.
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September 2025
School of Information and Communication Engineering, North University of China, Taiyuan, China.
Aims: Decoding the motor intention by electroencephalography to control external devices is an effective method of helping spinal cord injury (SCI) patients to regain motor function. Still, SCI patients have much lower accuracy in the decoding of motor intentions compared to healthy individuals, which severely hampers the clinical application. However, the underlying neural mechanisms are still unknown.
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