Evidence map›Paper›PMID 40060421›Full record

ArticlebioRxiv : the preprint server for biology2025

Fiber photometry analysis of spontaneous dopamine signals: The z-scored data are not the data.

Conner W Wallace, Clare Y Slinkard, Rachael Shaughnessy, Katherine M Holleran, Samuel W Centanni, Christopher C Lapish, Sara R Jones

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

7 authors.

Conner W WallaceDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-7050-8761
Clare Y SlinkardDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC.
Rachael ShaughnessyEastern Virginia Medical School, Old Dominion University, Norfolk, VA.
Katherine M HolleranDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-2931-8157
Samuel W CentanniDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC.
Christopher C LapishDepartment of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0002-4388-4438
Sara R JonesDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-3424-7576

Funding

Wake Forest Translational Alcohol Research Center (WF-TARC)P50AA026117 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jeffrey L. Weiner · 2018 to 2026
$16.2M
MULTI-DISCIPLINARY TRAINING IN THE BIOLOGY OF ALCOHOLISMT32AA007565 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BRIAN A MCCOOL · 1994 to 2026
$10.1M
Role of Kappa Opioid Receptors in Maladaptive Catecholamine Responses to Stress and Alcohol ExposureU01AA014091 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Katherine Mercedes Holleran, SARA RAULERSON JONES · 2003 to 2026
$7.7M
Biased Kappa Opioid Agonists as Non-addictive AnalgesicsR01DA048490 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI JONES, SARA RAULERSON, MARTIN, THOMAS JEFFREY · 2019 to 2023
$3.4M
Kappa Opioid Receptors and Phospho-Dopamine Transporters Drive Cocaine RewardR01DA054694 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI LANKUPALLE D JAYANTHI, SARA RAULERSON JONES · 2022 to 2026
$3.2M
NIAAA NIH HHS P50 AA026117NIAAA NIH HHS T32 AA007565NIAAA NIH HHS U01 AA014091NIDA NIH HHS R01 DA048490NIDA NIH HHS R01 DA054694
6 · The paper itself

Abstract

Fluorescent sensors have revolutionized the measurement of molecules in the brain, and the dLight dopamine sensor has been used extensively to examine reward- and cue-evoked dopamine release, but only recently has the field turned its attention to spontaneous release events. Analysis of spontaneous events typically requires evaluation of hundreds of events over minutes to hours, and the most common method of analysis, z-scoring, was not designed for this purpose. Here, we compare the accuracy and reliability of three different analysis methods to identify pharmacologically induced changes in dopamine release and uptake in freely moving C57BL/6J mice. The D1-like receptor antagonist SCH23390 was used to prevent dLight sensors from interacting with dopamine in the extracellular space, while cocaine was used to inhibit uptake and raclopride to increase release of dopamine in the nucleus accumbens. We examined peak-to-peak frequency, peak amplitude, and width, the time spent above an established cutoff. The three methods were 1) the widely-used "Z-Score Method", which automatically smooths baseline drift and normalizes recordings using signal-to-noise ratios, 2) a "Manual Method", in which local baselines were adjusted manually and individual cutoffs were determined for each subject, and 3) the "Prominence Method" that combines z-scoring with prominence assessment to tag individual peaks, then returns to the preprocessed data for kinetic analysis. First, SCH23390 drastically reduced the number of signals detected as expected, but only when the Manual Method was used. Z-scoring failed to identify any changes, due to its amplification of noise when signals were diminished. Cocaine increased signal width as expected using the Manual and Prominence Methods, but not the Z-Score Method. Finally, raclopride-induced increases in amplitude were correctly identified by the Manual and Prominence Methods. The Z-Score Method failed to identify any of the changes in dopamine release and uptake kinetics. Thus, analysis of spontaneous dopamine signals requires assessment of the %ΔF/F values, ideally using the Manual Method, and the use of z-scoring is not appropriate.

Indexed as

analysis methodologydLightdopamine releasedopamine reuptakeFiber photometryspontaneous signaling

Identifiers

PMID40060421
PMCPMC11888193

What Socratic 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 Socratic graph.