Evidence map›Paper›PMID 35880016›Full record

ArticleCell reports methods2022

Spectral fiber photometry derives hemoglobin concentration changes for accurate measurement of fluorescent sensor activity.

Wei-Ting Zhang, Tzu-Hao Harry Chao, Yue Yang, Tzu-Wen Wang, Sung-Ho Lee, Esteban A Oyarzabal, Jingheng Zhou, Randy Nonneman, Nicolas C Pegard, Hongtu Zhu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  3. Hierarchically and Temporally Distinct CaCNS neuroscience & therapeutics · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Wei-Ting ZhangCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Tzu-Hao Harry ChaoCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Yue YangCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Tzu-Wen WangCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Sung-Ho LeeCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Esteban A OyarzabalCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jingheng ZhouIn Vivo Neurobiology Group, Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709, USA.
Randy NonnemanCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Nicolas C PegardDepartment of Applied Physical Sciences, UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Hongtu ZhuBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Guohong CuiIn Vivo Neurobiology Group, Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709, USA.
Yen-Yu Ian ShihCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Imaging Center · USUniversity of North Carolina at Chapel Hill · USNational Institute of Environmental Health Sciences · USNational Institutes of Health · US

Funding

UNC ARC Information/Dissemination CoreP60AA011605 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Thomas L. Kash · 2003 to 2026
$46.3M
Basal Ganglia in Health and DiseaseZIAES103310 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CUI, GUOHONG · 2016 to 2025
$23.6M
UNC Neuroscience Center Research Cores: MicroscopyP30NS045892 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2003 to 2022
$11.5M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
UNC-CH NADIA Underage Drinking and Adult Brain Morphology in RatsU01AA020023 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CREWS, FULTON T · 2010 to 2024
$7.5M
Circuit Mechanisms Governing the Default Mode NetworkR01MH126518 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Vinod Menon, Yen-Yu Ian Shih · 2021 to 2026
$4.3M
Mechanisms underlying positive and negative BOLD in the striatumRF1MH117053 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2018 to 2019
$4.0M
Chemogenetic Dissection of Neuronal and Astrocytic Compartment of the BOLD SignalR01MH111429 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2016 to 2020
$2.7M
Functional dissection of therapeutic deep brain stimulation circuitryR01NS091236 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2015 to 2019
$2.0M
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's diseaseRF1NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2021 to 2021
$2.0M
9.4T Small Animal MRI scanner at UNCS10OD026796 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$2.0M
AVANCE NEO upgrade for the BioSpec 9.4T/30cm MRI system at UNCS10MH124745 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$600k
Intramural NIH HHS ZIA ES103310NIAAA NIH HHS P60 AA011605NIAAA NIH HHS U01 AA020023NICHD NIH HHS P50 HD103573NIH HHS S10 OD026796NIMH NIH HHS R01 MH111429NIMH NIH HHS R01 MH126518NIMH NIH HHS RF1 MH117053NIMH NIH HHS S10 MH124745NINDS NIH HHS P30 NS045892NINDS NIH HHS R01 NS091236NINDS NIH HHS RF1 NS086085
6 · The paper itself

Abstract

Fiber photometry is an emerging technique for recording fluorescent sensor activity in the brain. However, significant hemoglobin absorption artifacts in fiber photometry data may be misinterpreted as sensor activity changes. Because hemoglobin exists widely in the brain, and its concentration varies temporally, such artifacts could impede the accuracy of photometry recordings. Here we present use of spectral photometry and computational methods to quantify photon absorption effects by using activity-independent fluorescence signals, which can be used to derive oxy- and deoxy-hemoglobin concentration changes. Although these changes are often temporally delayed compared with the fast-responding fluorescence spikes, we found that erroneous interpretation may occur when examining pharmacology-induced sustained changes and that sometimes hemoglobin absorption could flip the GCaMP signal polarity. We provide hemoglobin-based correction methods to restore fluorescence signals and compare our results with other commonly used approaches. We also demonstrated the utility of spectral fiber photometry for delineating regional differences in hemodynamic response functions.

Indexed as

BrainNeuronsArtifactsPhotometryemissionexcitationgenetically encoded calcium indicatorsgreen fluorescent sensorhemodynamic response functionhemoglobin absorptionisosbesticphoton traveling path lengthsred-shifted fluorescent sensorspectral fiber photometry

Identifiers

PMID35880016
PMCPMC9308135
OpenAlexW4286884886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.