3 results match your criteria: "USA. jpan@broadinstitute.org.[Affiliation]"
IntelliSleepScorer, a software package with a graphic user interface for automated sleep stage scoring in mice based on a light gradient boosting machine algorithm.
Sci Rep
March 2023
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, MA, 02142, USA.
Article Synopsis
- Machine learning has been successfully utilized to categorize sleep stages (NREM, REM, wake) in mice using EEG recordings, leading to the development of IntelliSleepScorer, an automated scoring software.
- The LightGBM model used in IntelliSleepScorer achieved a high accuracy of 95.2% and a kappa of 0.91, outperforming traditional models like logistic regression and random forests.
- The model showed consistent performance across various datasets and conditions, confirming its reliability and generalizability for sleep stage scoring in rodent research.
Effects of a patient-derived de novo coding alteration of CACNA1I in mice connect a schizophrenia risk gene with sleep spindle deficits.
Transl Psychiatry
January 2020
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Article Synopsis
- CACNA1I is a gene associated with schizophrenia that affects the function of the Ca3.3 calcium channel, and a specific mutation (R1346H) was found to impair its function in previous research.
- Researchers created mouse models with the R1346H mutation and ones lacking Ca3.3 to study changes in brain cell activity, particularly in the thalamic reticular nucleus (TRN), where this channel is prevalent.
- The study revealed that the R1346H mutation led to significant disruptions in sleep spindle patterns during NREM sleep, suggesting this mutation can serve as a model for understanding sleep anomalies in schizophrenia and evaluating potential treatments.
Developing High-Throughput Assays to Analyze and Screen Electrophysiological Phenotypes.
Methods Mol Biol
February 2019
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Ion channels represent nearly a quarter of all targets that currently available medications modulate, and their dysfunction underlies increasing number of human diseases. Functional analysis of ion channels have traditionally been a bottleneck in large-scale analyses. Recent technological breakthroughs in automated planar electrophysiology have democratized the technique to enable high-throughput patch clamping at scale.
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