Evidence map›Paper›PMID 40287579›Full record

ArticleCommunications biology2025

Multimodal identification of the mouse brain using simultaneous Ca

Francesca Mandino, Corey Horien, Xilin Shen, Gabriel Desrosiers-Grégoire, Wendy Luo, Marija Markicevic, R Todd Constable, Xenophon Papademetris, Mallar M Chakravarty, Richard F Betzel and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Biphasic acclimation for simultaneous wide-field fluorescent CaImaging neuroscience (Cambridge, Mass.) · 2026
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Francesca Mandino *Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA. francesca.mandino@yale.edu.ORCID http://orcid.org/0000-0002-5605-0854
Corey Horien *Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA.
Xilin ShenDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-1006-7404
Gabriel Desrosiers-GrégoireComputational Brain Anatomy Laboratory, Douglas Mental Health University Institute, Montreal, QC, Canada.
Wendy LuoDepartment of Biomedical Engineering, Yale University School of Medicine, New Haven, CT, USA.
Marija MarkicevicDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5661-9521
Xenophon PapademetrisDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
Mallar M ChakravartyComputational Brain Anatomy Laboratory, Douglas Mental Health University Institute, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-0759-5508
Richard F BetzelDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Evelyn M R LakeDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA. evelyn.lake@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual differences in neuroimaging are of interest to clinical and cognitive neuroscientists based on their potential for guiding the personalized treatment of various heterogeneous neurological conditions and diseases. Despite many advantages, the prevailing modality in this field-blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI)-suffers from low spatiotemporal resolution and specificity as well as a propensity for noise and spurious signal corruption. To better understand individual differences in BOLD-fMRI data, we can use animal models where fMRI, alongside complementary but more invasive contrasts, can be accessed. Here, we apply simultaneous wide-field fluorescence calcium imaging and BOLD-fMRI in mice to interrogate individual differences using a connectome-based identification framework adopted from the human fMRI literature. This approach yields high spatiotemporal resolution cell-type specific signals (here, from glia, excitatory, as well as inhibitory interneurons) from the whole cortex. We found mouse multimodal connectome-based identification to be successful and explored various features of these data.

Indexed as

BrainCalciumConnectomeMagnetic Resonance ImagingMultimodal ImagingAnimalsMaleMiceMice, Inbred C57BLCalcium

Identifiers

PMID40287579
PMCPMC12033268

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Registered trials

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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.