SleepMat: a new behavioral analysis software program for sleep and circadian rhythms

Shiju Sisobhan; Clark Rosensweig; Bridget C. Lear; Ravi Allada

doi:10.1093/sleep/zsac195

SleepMat: a new behavioral analysis software program for sleep and circadian rhythms

Shiju Sisobhan, Clark Rosensweig, Bridget C. Lear, Ravi Allada^*

^*Corresponding author for this work

Neurobiology

Research output: Contribution to journal › Article › peer-review

Abstract

Study Objectives: To develop a new publicly available software SleepMat that analyzes Drosophila Activity Monitoring system data. Methods: The software is built on Matlab platform, employs an easy-to-use graphic user interface, and is highly flexible to customize data inputs. Results: This software provides large number of sleep and circadian parameters including period, actogram, anticipation, sleep amount, bout length, bout number, activity, sleep deprivation, latency, lifespan, and eduction results. Conclusions: This software will enable a user-friendly high throughput analysis of a broad range of sleep and circadian parameters that can be coupled to the power of Drosophila genetics.

Original language	English (US)
Article number	zsac195
Journal	Sleep
Volume	45
Issue number	12
DOIs	https://doi.org/10.1093/sleep/zsac195
State	Published - Dec 1 2022

Keywords

DAM system
Drosophila
behavioral analysis
circadian rhythm
sleep

ASJC Scopus subject areas

Clinical Neurology
Physiology (medical)

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10.1093/sleep/zsac195

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title = "SleepMat: a new behavioral analysis software program for sleep and circadian rhythms",

abstract = "Study Objectives: To develop a new publicly available software SleepMat that analyzes Drosophila Activity Monitoring system data. Methods: The software is built on Matlab platform, employs an easy-to-use graphic user interface, and is highly flexible to customize data inputs. Results: This software provides large number of sleep and circadian parameters including period, actogram, anticipation, sleep amount, bout length, bout number, activity, sleep deprivation, latency, lifespan, and eduction results. Conclusions: This software will enable a user-friendly high throughput analysis of a broad range of sleep and circadian parameters that can be coupled to the power of Drosophila genetics.",

keywords = "DAM system, Drosophila, behavioral analysis, circadian rhythm, sleep",

author = "Shiju Sisobhan and Clark Rosensweig and Lear, {Bridget C.} and Ravi Allada",

note = "Funding Information: This work was supported by the following grant National Institutes of Health R01NS106955 (to RA). Publisher Copyright: {\textcopyright} 2022 The Author(s).",

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doi = "10.1093/sleep/zsac195",

language = "English (US)",

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AU - Sisobhan, Shiju

AU - Rosensweig, Clark

AU - Lear, Bridget C.

AU - Allada, Ravi

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AB - Study Objectives: To develop a new publicly available software SleepMat that analyzes Drosophila Activity Monitoring system data. Methods: The software is built on Matlab platform, employs an easy-to-use graphic user interface, and is highly flexible to customize data inputs. Results: This software provides large number of sleep and circadian parameters including period, actogram, anticipation, sleep amount, bout length, bout number, activity, sleep deprivation, latency, lifespan, and eduction results. Conclusions: This software will enable a user-friendly high throughput analysis of a broad range of sleep and circadian parameters that can be coupled to the power of Drosophila genetics.

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SleepMat: a new behavioral analysis software program for sleep and circadian rhythms

Abstract

Keywords

ASJC Scopus subject areas

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