Evidence map›Paper›PMID 42332086›Full record

ArticleNature methods2026

A cloud-based miniscope for neurosurveillance of brain health and disease in freely behaving animals.

Janaka Senarathna, Darren Yang, Julia Brill, Subhrajit Das, Shruthi Bare, Yunke Ren, Devorah VanNess, Vu Dinh, Irfaan Karim, Amit K Banerjee and 4 more

Abstract read
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In one paragraph

Article in Nature methods, 2026. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Janaka SenarathnaThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-5969-0486
Darren Yang *Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0009-0004-1551-0860
Julia Brill *The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Subhrajit DasElectrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
Shruthi BareChemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0009-0002-0668-7280
Yunke RenBiomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Devorah VanNessThe Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Vu DinhThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Irfaan KarimNeurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Amit K BanerjeeApplied Physics Lab, Johns Hopkins University, Baltimore, MD, USA.
Nitish V ThakorElectrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
Mingyao YingNeurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
David J LindenThe Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Arvind P PathakThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. apathak2@jhmi.edu.ORCID http://orcid.org/0000-0002-2068-9445

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Stewart H Mostofsky · 2020 to 2026
$9.9M
NICHD NIH HHS P50 HD103538U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5R01CA196701-08U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5R01CA237597-05U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1R21NS138938-01
6 · The paper itself

Abstract

Miniaturized microscopes or 'miniscopes' for neuroimaging in freely behaving animals mostly operate over short durations (<2 h) and image either neuronal activity or cerebral hemodynamics. In contrast, central nervous system (CNS) disease models involving seizures, brain tumors etc. necessitate long-term (>24 h) imaging, remote operation and simultaneous characterization of multiple neurophysiological variables such as neuronal activity, blood flow, blood volume, oxygenation and cellular dynamics (a capability that we call 'neurosurveillance'). Thus, we developed the 'CloudScope', a cloud-based multicontrast miniscope for autonomous neurosurveillance in freely behaving animals. Its cloud-based architecture enables global remote operation and continuous acquisition of multicontrast images over CNS disease model life cycles. We demonstrate CloudScope's neurosurveillance capabilities in predicting behavior from 24-h neuroimaging data with deep learning (DL), characterizing neurovascular changes during natural behavior, seizure-induced neurovascular disruptions, and in vivo cellular and microvascular phenotyping of brain tumor microenvironments. Finally, CloudScope's architecture enables 'time-shared' imaging, which potentially reduces animal use. Collectively, CloudScope's neurosurveillance capabilities in conjunction with CNS disease models establish a new paradigm for characterizing their etiology and evolution.

Indexed as

Behavior, AnimalBrainCloud ComputingNeuroimagingAnimalsBrain NeoplasmsDisease Models, AnimalMiceSeizures

Identifiers

PMID42332086
PMCPMC13345946

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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.