Evidence map›Paper›PMID 28560240›Full record

ArticleNeurophotonics2017

Mesoscale brain explorer, a flexible python-based image analysis and visualization tool.

Dirk Haupt, Matthieu P Vanni, Federico Bolanos, Catalin Mitelut, Jeffrey M LeDue, Tim H Murphy

Open access · hybridAbstract read
In one paragraph

Article in Neurophotonics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  4. Article
  5. The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Review
  6. Article
  7. Article
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  10. Longitudinal monitoring of mesoscopic cortical activity in a mouse model of microinfarcts reveals dissociations with behavioral and motor function.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  11. Article
  12. Article
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

6 authors at 1 institution in 1 country.

Dirk HauptUniversity of British Columbia, Kinsmen Laboratory of Neurological Research, Faculty of Medicine, Department of Psychiatry, Vancouver, Canada.
Matthieu P VanniUniversity of British Columbia, Kinsmen Laboratory of Neurological Research, Faculty of Medicine, Department of Psychiatry, Vancouver, Canada.
Federico BolanosUniversity of British Columbia, Kinsmen Laboratory of Neurological Research, Faculty of Medicine, Department of Psychiatry, Vancouver, Canada.
Catalin MitelutUniversity of British Columbia, Kinsmen Laboratory of Neurological Research, Faculty of Medicine, Department of Psychiatry, Vancouver, Canada.
Jeffrey M LeDueUniversity of British Columbia, Kinsmen Laboratory of Neurological Research, Faculty of Medicine, Department of Psychiatry, Vancouver, Canada.
Tim H MurphyUniversity of British Columbia, Kinsmen Laboratory of Neurological Research, Faculty of Medicine, Department of Psychiatry, Vancouver, Canada.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging of mesoscale brain activity is used to map interactions between brain regions. This work has benefited from the pioneering studies of Grinvald et al., who employed optical methods to image brain function by exploiting the properties of intrinsic optical signals and small molecule voltage-sensitive dyes. Mesoscale interareal brain imaging techniques have been advanced by cell targeted and selective recombinant indicators of neuronal activity. Spontaneous resting state activity is often collected during mesoscale imaging to provide the basis for mapping of connectivity relationships using correlation. However, the information content of mesoscale datasets is vast and is only superficially presented in manuscripts given the need to constrain measurements to a fixed set of frequencies, regions of interest, and other parameters. We describe a new open source tool written in python, termed mesoscale brain explorer (MBE), which provides an interface to process and explore these large datasets. The platform supports automated image processing pipelines with the ability to assess multiple trials and combine data from different animals. The tool provides functions for temporal filtering, averaging, and visualization of functional connectivity relations using time-dependent correlation. Here, we describe the tool and show applications, where previously published datasets were reanalyzed using MBE.

Indexed as

brain imagingconnectomecortexmesoscaleoptogeneticswidefield

Identifiers

PMID28560240
PMCPMC5438099
OpenAlexW2614368280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.