Evidence map›Paper›PMID 35136111›Full record

ArticleScientific reports2022

Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex.

Armel Nsiangani, Joseph Del Rosario, Alan C Yeh, Donghoon Shin, Shea Wells, Tidhar Lev-Ari, Brice Williams, Bilal Haider

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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. Highly selective visual receptive fields in mouse frontal cortex.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Cranial and Spinal Window Preparation forExperimental neurobiology · 2022
    Review
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

8 authors.

Armel NsianganiBiomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA.
Joseph Del RosarioBiomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA.
Alan C YehBiomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA.
Donghoon ShinElectrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.
Shea WellsElectrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.
Tidhar Lev-AriBiomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA.
Brice WilliamsBiomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA.
Bilal HaiderBiomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA. bilal.haider@bme.gatech.edu.

Funding

Circuit and Synaptic Mechanisms of Visual Spatial AttentionR01NS109978 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI HAIDER, BILAL · 2018 to 2022
$2.3M
Directly measuring synaptic and population coupling in cortex during perceptionR01NS107968 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI HAIDER, BILAL · 2018 to 2022
$2.1M
NINDS NIH HHS R01 NS107968NINDS NIH HHS R01 NS109978
6 · The paper itself

Abstract

Understanding brain function requires repeatable measurements of neural activity across multiple scales and multiple brain areas. In mice, large scale cortical neural activity evokes hemodynamic changes readily observable with intrinsic signal imaging (ISI). Pairing ISI with visual stimulation allows identification of primary visual cortex (V1) and higher visual areas (HVAs), typically through cranial windows that thin or remove the skull. These procedures can diminish long-term mechanical and physiological stability required for delicate electrophysiological measurements made weeks to months after imaging (e.g., in subjects undergoing behavioral training). Here, we optimized and directly validated an intact skull ISI system in mice. We first assessed how imaging quality and duration affect reliability of retinotopic maps in V1 and HVAs. We then verified ISI map retinotopy in V1 and HVAs with targeted, multi-site electrophysiology several weeks after imaging. Reliable ISI maps of V1 and multiple HVAs emerged with ~ 60 trials of imaging (65 ± 6 min), and these showed strong correlation to local field potential (LFP) retinotopy in superficial cortical layers (r

Indexed as

AlgorithmsAnimalsBrain MappingElectrophysiological PhenomenaEvoked Potentials, VisualMaleMiceMice, Inbred C57BLMice, KnockoutOptical ImagingPhotic StimulationPrimary Visual CortexSkullVisual FieldsVisual Pathways

Identifiers

PMID35136111
PMCPMC8826313

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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.