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Intraoperative neurophysiological information could increase accuracy of surgical deep brain stimulation (DBS) lead placement. Subsequently, DBS therapy could be optimized by specifically targeting pathological activity. In Parkinson's disease, local field potentials (LFPs) excessively synchronized in the beta band (13-35 Hz) correlate with akinetic-rigid symptoms and their response to DBS therapy, particularly low beta band suppression (13-20 Hz) and high frequency gamma facilitation (35-250 Hz). In dystonia, LFPs abnormally synchronize in the theta/alpha (4-13 Hz), beta and gamma (60-90 Hz) bands. Phasic dystonic symptoms and their response to DBS correlate with changes in theta/alpha synchronization. In essential tremor, LFPs excessively synchronize in the theta/alpha and beta bands. Adaptive DBS systems will individualize pathological characteristics of neurophysiological signals to automatically deliver therapeutic DBS pulses of specific spatial and temporal parameters.
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http://dx.doi.org/10.2217/nmt-2021-0002 | DOI Listing |
Neurochirurgie
September 2025
Neurosurgery Department, Pasteur 2 Hospital, University Hospital of Nice, France; UR2CA PIN, Université Côte d'Azur, France. Electronic address:
Background: Treating symptomatic deep-seated cerebral cavernous malformations (CCMs) is challenging due to surgical risks.
Case Description: A 37-year-old man underwent awake craniotomy with direct electrical stimulation (DES) for excision of a left posterior thalamic CCM. A transcortical transventricular approach through the superior parietal lobe enabled safe navigation around critical associative and projection white matter tracts.
J Neurosci Methods
September 2025
Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Background: Cortico-cortical evoked potentials (CCEPs), elicited via single-pulse electrical stimulation, are used to map brain networks. These responses comprise early (N1) and late (N2) components, which reflect direct and indirect cortical connectivity. Reliable identification of these components remains difficult due to substantial variability in amplitude, phase, and timing.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
Eindhoven University of Technology, Department of Biomedical Engineering, Medical Image Analysis Group, Eindhoven, The Netherlands. Electronic address:
Background And Objective: Out-of-distribution (OOD) detection is crucial for safely deploying automated medical image analysis systems, as abnormal patterns in images could hamper their performance. However, OOD detection in medical imaging remains an open challenge. In this study, we aim to optimize a reconstruction-based autoencoder specifically for OOD detection.
View Article and Find Full Text PDFTrends Cogn Sci
September 2025
Department of Cognitive and Psychological Science, Brown University, Thayer Street, Providence, RI 02906, USA; Robert J. and Nancy D. Carney Institute for Brain Sciences, Brown University, Angell Street, Providence, RI 02906, USA.
Comput Biol Med
August 2025
The First People Hospital of Foshan, Foshan City CN, China. Electronic address:
Brain Tumor Segmentation (BTS) is crucial for accurate diagnosis and treatment planning, but existing CNN and Transformer-based methods often struggle with feature fusion and limited training data. While recent large-scale vision models like Segment Anything Model (SAM) and CLIP offer potential, SAM is trained on natural images, lacking medical domain knowledge, and its decoder struggles with accurate tumor segmentation. To address these challenges, we propose the Medical SAM-Clip Grafting Network (MSCG), which introduces a novel SC-grafting module.
View Article and Find Full Text PDF