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An RFID-based activity tracking system to monitor individual rodent behavior in environmental enrichment: Implications for post-stroke cognitive recovery
ConclusionThis study represents an attempt to better align preclinical and clinical implementations of EE and facilitate the uptake of this intervention in the clinical setting.
Source: Journal of Neuroscience Methods - May 30, 2019 Category: Neuroscience Source Type: research

Automated Segmentation of Acute Stroke Lesions Using a Data-driven Anomaly Detection on Diffusion Weighted MRI
ConclusionsThe current method is straightforward, fast, and shows good agreement with the lesions identified by human experts.
Source: Journal of Neuroscience Methods - January 3, 2020 Category: Neuroscience Source Type: research

Inter- and Intra-Rater Reliability of Computer-Assisted Planimetry in Experimental Stroke Research
ConclusionComputer-assisted planimetry can be an appropriate method to determine hemispheric or ischemic lesion volume in rodents but requires a sufficiently long learning period of approximately two months. Even an experienced investigator can generate data with serious variation. Inter- and intra-rater-dependent bias should be considered during the design and performance of respective studies.
Source: Journal of Neuroscience Methods - November 19, 2018 Category: Neuroscience Source Type: research

Registration of challenging pre-clinical brain images
Publication date: 30 May 2013 Source:Journal of Neuroscience Methods, Volume 216, Issue 1 Author(s): William R. Crum , Michel Modo , Anthony C. Vernon , Gareth J. Barker , Steven C.R. Williams The size and complexity of brain imaging studies in pre-clinical populations are increasing, and automated image analysis pipelines are urgently required. Pre-clinical populations can be subjected to controlled interventions (e.g., targeted lesions), which significantly change the appearance of the brain obtained by imaging. Existing systems for registration (the systematic alignment of scans into a consistent anatomical coordinate...
Source: Journal of Neuroscience Methods - November 8, 2014 Category: Neuroscience Source Type: research

An automated behavioral box to assess forelimb function in rats
Conclusions In summary, our automated behavioral box will allow high-throughput and efficient monitoring of rat forelimb function in both healthy and injured animals.
Source: Journal of Neuroscience Methods - March 11, 2015 Category: Neuroscience Source Type: research

Online detection of amplitude modulation of motor-related EEG desynchronization using a lock-in amplifier: Comparison with a fast Fourier transform, a continuous wavelet transform, and an autoregressive algorithm
Conclusions These results indicate that the LIA improved the detection delay, accuracy, and stability for estimating amplitude modulation of motor-related SM1-ERD. This would be beneficial for BCI paradigms to facilitate neurorehabilitation in patients with motor deficits.
Source: Journal of Neuroscience Methods - November 22, 2017 Category: Neuroscience Source Type: research

Development of a Combined, Sequential Real-Time fMRI and fNIRS Neurofeedback System Enhance Motor Learning After Stroke
Publication date: Available online 18 May 2020Source: Journal of Neuroscience MethodsAuthor(s): Jake D. Rieke, Avi K. Matarasso, M. Minhal Yusufali, Aniruddh Ravindran, Jose Alcantara, Keith D. White, Janis J. Daly
Source: Journal of Neuroscience Methods - May 20, 2020 Category: Neuroscience Source Type: research

Development of a combined, sequential real-time fMRI and fNIRS neurofeedback system to enhance motor learning after stroke
Publication date: 15 July 2020Source: Journal of Neuroscience Methods, Volume 341Author(s): Jake D. Rieke, Avi K. Matarasso, M. Minhal Yusufali, Aniruddh Ravindran, Jose Alcantara, Keith D. White, Janis J. Daly
Source: Journal of Neuroscience Methods - June 13, 2020 Category: Neuroscience Source Type: research