The mechanical strain of the neural tissue induced by the implant of neuronal electrode is one of the important factors responsible for the quality and performance of extracellular recording of neuronal activities in the brain because the mechanical strain could kill or inactivate the neurons. In order to evaluate the effect of the implant of neural electrode, we propose a method to estimate the three-dimensional distribution of electrophysiologically active neurons near the electrode based on the multi-site multi-unit recording data. The spatial distribution of the active neurons emerges the region in the neural tissue that could be killed or inactivated by the implant of the electrode. The proposed method will be useful for the in situ assessment of the neural electrode implanted in the brain.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/IEMBS.2008.4650341 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A prospective multi-site study to evaluate the performance and usability of an oral fluid-based HIV self-test in Canada.
BMC Public Health
January 2025
MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, ON, Canada.
Background: Blood and oral fluid-based HIV self-tests are important for reaching the undiagnosed living with HIV. The study objectives were to evaluate the oral fluid-based OraQuick® HIV Self-Test (HIV-ST) performance in comparison to laboratory reference testing; determine if laypersons can correctly perform the HIV-ST; document if intended users can successfully interpret pre-made contrived positive, negative, and invalid results; and document if intended users can understand the key messages in the product labeling.
Methods: This prospective study enrolled consenting adult intended users of HIV self-testing from six community health centres in four Canadian provinces between June 2022 and January 2024.
Study protocol for a hybrid type 3 effectiveness-implementation trial of a team-based implementation strategy to support educators' use of a social engagement intervention.
Implement Sci
January 2025
University of California, Los Angeles, Los Angeles, CA, 90025, USA.
Background: Remaking Recess (RR) is a school-based evidence-based peer social engagement intervention for autistic students. RR involves direct training and coaching with educators; however, educators face several barriers to implementation at both the individual- and organizational-levels. This protocol paper describes a multi-site study that will test whether an educator-level implementation strategy, coaching, with or without a school-level implementation strategy, school-based teams, will maximize educators' use (fidelity and sustainment) of RR for autistic students and their peers who are socially-isolated, rejected, or peripheral and may need additional support during recess.
View Article and Find Full Text PDFConnectome-Based Predictive Modeling of Trait Mindfulness.
Hum Brain Mapp
January 2025
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Trait mindfulness refers to one's disposition or tendency to pay attention to their experiences in the present moment, in a non-judgmental and accepting way. Trait mindfulness has been robustly associated with positive mental health outcomes, but its neural underpinnings are poorly understood. Prior resting-state fMRI studies have associated trait mindfulness with within- and between-network connectivity of the default-mode (DMN), fronto-parietal (FPN), and salience networks.
View Article and Find Full Text PDFContingency management (CM), an evidence-based behavioral strategy that rewards positive behavior change including tobacco cessation, is rarely offered to support people with HIV (PWH) who smoke. In this study, we explored perspectives among patients and research staff engaged in a multi-site randomized clinical trial involving clinical pharmacist-delivered CM within HIV clinics. Between February and September 2023, we conducted 1:1 interviews with 12 PWH randomized to receive CM and one focus group with 8 staff (i.
View Article and Find Full Text PDFInternational Validation of Echocardiographic AI Amyloid Detection Algorithm.
medRxiv
December 2024
Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Background: Diagnosis of cardiac amyloidosis (CA) is often missed or delayed due to confusion with other causes of increased left ventricular wall thickness. Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) has shown promise in distinguishing CA, but with limited specificity. We conducted a study to investigate the performance of a computer vision detection algorithm in across multiple international sites.
View Article and Find Full Text PDFWant 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!