Objective: Deep brain stimulation of the subthalamic nucleus (STN-DBS) is well established for treating the motor symptoms for advanced Parkinson's disease (PD) but its effects on gastric myoelectrical activity and gastrointestinal symptoms have not been well studied. The aim of this study was to evaluate the effect of STN-DBS on gastric motility using electrogastrography (EGG).
Methods: Twenty patients with PD (5 females, 15 males; mean aged 58.0 ± 9.0 years) who underwent STN-DBS were studied. EGG was performed in fasting and postprandial conditions before STN-DBS and 3 months after the surgery. We also evaluated the frequency and severity of gastrointestinal symptoms based on a structured gastrointestinal dysfunction questionnaire.
Results: After STN-DBS the percentage of normogastria (47.8 ± 20.7 vs 51.3 ± 15.1) and period dominant power (PDP) (11.8 ± 1.2 vs 12.3 ± 0.9) significantly increased, the percentage of arrhythmia decreased compared to the baseline during fasting and postprandial state. Abnormal response to a meal (power ratio of PDP <1 after meal) decreased from 70% to 55% after 3 months follow-up. The abnormal EGG (the percentage of normogastria <70%) decreased in both fasting (from 80% to 65% patients) and postprandial state (from 80% to 60% patients), respectively after the surgery. The most common GI symptoms reported prior to the surgery were constipation 95%, difficulty with defecation 85% and dysphagia 50%. After STN-DBS all gastrointestinal symptoms improved, the greatest improvement was observed in difficulty with defecation.
Conclusion: Our results suggest that STN-DBS improves gastric motility as well as gastrointestinal symptoms in PD. Further studies of gastrointestinal motility in PD are warranted.
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http://dx.doi.org/10.1016/j.parkreldis.2016.02.010 | DOI Listing |
NPJ Precis Oncol
January 2025
Athinoula A. Martinos Center for Biomedical Imaging, 149 13th St, Charlestown, MA, 02129, USA.
Recent progress in deep learning (DL) is producing a new generation of tools across numerous clinical applications. Within the analysis of brain tumors in magnetic resonance imaging, DL finds applications in tumor segmentation, quantification, and classification. It facilitates objective and reproducible measurements crucial for diagnosis, treatment planning, and disease monitoring.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electronics, Information and Communication Engineering, Kangwon National University, Samcheok, Republic of Korea.
Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive information, such as better contrast and clarity, than any alternative scanning process. Manually separating BTs from several MRI images gathered in medical practice for cancer analysis is challenging and time-consuming.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Movement Disorders Unit, Neurological Institute, Tel Aviv Medical Center, Tel Aviv, Israel.
Alpha-synuclein (αS) aggregation is a widely regarded hallmark of Parkinson's disease (PD) and can be detected through synuclein amplification assays (SAA). This study investigated the association between cerebrospinal fluid (CSF) radiological measures in 41 PD patients (14 iPD, 14 GBA1-PD, 13 LRRK2-PD) and 14 age-and-sex-matched healthy controls. Quantitative measures including striatal binding ratios (SBR), whole-brain and deep gray matter volumes, neuromelanin-MRI (NM-MRI), functional connectivity (FC), and white matter (WM) diffusion-tensor imaging (DTI) were calculated.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Sensing-based deep brain stimulation should optimally consider both the motor and neuropsychiatric domain to maximize quality of life of Parkinson's disease (PD) patients. Here we characterize the neurophysiological properties of the subthalamic nucleus (STN) in 69 PD patients using a newly established neurophysiological gradient metric and contextualize it with motor symptoms and apathy. We could evidence a STN power gradient that holds most of the spectral information between 5 and 30 Hz spanning along the dorsal-ventral axis.
View Article and Find Full Text PDFJ Neurosci
January 2025
Department of Neuroscience, The Ohio State University College of Medicine, Columbus, OH 43210
Pyramidal cells (PCs) in CA1 hippocampus can be classified by their radial position as deep or superficial and organize into subtype-specific circuits necessary for differential information processing. Specifically, superficial PCs receive fewer inhibitory synapses from parvalbumin (PV)-expressing interneurons than deep PCs, resulting in weaker feedforward inhibition of input from CA3 Schaffer collaterals. Using mice, we investigated mechanisms underlying CA1 PC differentiation and the development of this inhibitory circuit motif.
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