Evidence map›Paper›PMID 37961473›Full record

ArticlebioRxiv : the preprint server for biology2024

FlyVISTA, an Integrated Machine Learning Platform for Deep Phenotyping of Sleep in

Mehmet F Keleş, Ali Osman Berk Sapci, Casey Brody, Isabelle Palmer, Christin Le, Öznur Taştan, Sündüz Keleş, Mark N Wu

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Mehmet F KeleşDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0001-6673-1613
Ali Osman Berk SapciDepartment of Computer Science, Sabanci University, Tuzla, Istanbul, 34956, Turkey.ORCID 0000-0003-4396-817X
Casey BrodyDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.
Isabelle PalmerDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.
Christin LeDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.
Öznur TaştanDepartment of Computer Science, Sabanci University, Tuzla, Istanbul, 34956, Turkey.ORCID 0000-0001-7058-5372
Sündüz KeleşDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-9048-0922
Mark N WuDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA.
Johns Hopkins University · USSabancı Üniversitesi · TRUniversity of Wisconsin–Madison · US

Funding

Cross-Species Analyses of the Molecular and Circuit Basis ofSleepR35NS122181 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Mark N Wu · 2021 to 2026
$6.9M
Statistical Methods for the Analysis of ChlP-chip DataR01HG003747 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI KELES, SUNDUZ · 2007 to 2024
$4.8M
Statistical methods for co-expression network analysis of population-scale scRNA-seq dataR21HG012881 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI KELES, SUNDUZ · 2023 to 2023
$408k
The Function of Sleep in Critical Period PlasticityK99NS124976 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KELES, MEHMET · 2023 to 2024
$191k
NHGRI NIH HHS R01 HG003747NHGRI NIH HHS R21 HG012881NINDS NIH HHS K99 NS124976NINDS NIH HHS R35 NS122181
6 · The paper itself

Abstract

Animal behavior depends on internal state. While subtle movements can signify significant changes in internal state, computational methods for analyzing these "microbehaviors" are lacking. Here, we present FlyVISTA, a machine-learning platform to characterize microbehaviors in freely-moving flies, which we use to perform deep phenotyping of sleep. This platform comprises a high-resolution closed-loop video imaging system, coupled with a deep-learning network to annotate 35 body parts, and a computational pipeline to extract behaviors from high-dimensional data. FlyVISTA reveals the distinct spatiotemporal dynamics of sleep-associated microbehaviors in flies. We further show that stimulation of dorsal fan-shaped body neurons induces micromovements, not sleep, whereas activating R5 ring neurons triggers rhythmic proboscis extension followed by persistent sleep. Importantly, we identify a novel microbehavior ("haltere switch") exclusively seen during quiescence that indicates a deeper sleep stage. These findings enable the rigorous analysis of sleep in

Identifiers

PMID37961473
PMCPMC10635029
OpenAlexW4388214744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.