Evidence map›Paper›PMID 40607617›Full record

ArticleCurrent protocols2025

PASTa: An Open-Source Analysis and Signal Processing Toolbox for Fiber Photometry Data.

Rachel M Donka, Maxine K Loh, Vaibhav R Konanur, Mitchell F Roitman, Jamie D Roitman

Abstract read
In one paragraph

Article in Current protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Rachel M DonkaDepartment of Psychology, University of Illinois Chicago, Chicago, Illinois.
Maxine K LohDepartment of Psychology, University of Illinois Chicago, Chicago, Illinois.
Vaibhav R KonanurGraduate Program in Neuroscience, University of Illinois Chicago, Chicago, Illinois.
Mitchell F RoitmanDepartment of Psychology, University of Illinois Chicago, Chicago, Illinois.
Jamie D RoitmanDepartment of Psychology, University of Illinois Chicago, Chicago, Illinois.ORCID https://orcid.org/0000-0002-6924-8229

Funding

Modulation of NAc-DA Signaling by Learning Motivational State and PeptidesR01DA025634 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ROITMAN, MITCHELL F · 2009 to 2024
$5.1M
Alcohol Research Training in epigenetics and pathophysiology (ARTEP)T32AA026577 · NIAAA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SUBHASH C. PANDEY · 2019 to 2026
$2.7M
NIAAA NIH HHS T32 AA026577NIDA NIH HHS R01 DA025634
6 · The paper itself

Abstract

Fiber photometry is a rapidly growing technique to record real-time neural signaling in awake, behaving subjects. However, the processing and analysis of photometry data streams can be complicated, and there is wide divergence in methods across the field. Although several open-source signal processing tools exist, platforms can be inflexible in accommodating experimental designs, lack consistency in signal peak detection, and difficult to use for novice users. In addition, more recent sensors produce fluorescence that may be detected on both signal and control streams, confounding signal processing. To remedy these challenges, we developed PASTa (Photometry Analysis and Signal Processing Toolbox), an open-source MATLAB-based toolbox and protocol for the processing and analysis of fiber photometry data. PASTa includes a full analysis pipeline from data preparation through signal processing and transient event detection. Default parameters were selected to provide users with a conservative starting place, with optional inputs to include other commonly used methods and techniques in the field. Additionally, the transient detection protocol adopts options for determining peak detection thresholds and pre-peak baselines to allow more reliable detection of events and characterization of transient kinetics. Although operating through MATLAB, the code is annotated to be readable, accessible for new users, and adaptable. Ultimately, the PASTa protocol introduces a customizable, user-friendly platform to process fiber photometry signals and detect and quantify transient events. Novel methods for the analysis of signal processing will continue to be integrated into the toolbox, seeking to provide fiber photometry users with access to a comprehensive analysis suite that can accommodate the wide diversity of sensors and experimental paradigms used in photometry. © 2025 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Software installation Basic Protocol 2: Data preparation Basic Protocol 3: Signal processing Basic Protocol 4: Transient detection and analysis Support Protocol: Function default customization.

Indexed as

PhotometrySignal Processing, Computer-AssistedSoftwareHumansfiber photometryin vivoopen‐sourcesoftwaretoolbox

Identifiers

PMID40607617
PMCPMC12224222

What OpenQuestion holds

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LicenceCC BY-NC
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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.