ArticlePharmacology, biochemistry, and behavior2021
pMAT: An open-source software suite for the analysis of fiber photometry data.
Article in Pharmacology, biochemistry, and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.
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92 citing papers in PubMed.
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- Dichotomous Regulation of Social Behaviors by Nucleus Accumbens Neurons in Female and Male Syrian Hamsters.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Locus coeruleus-amygdala circuit disrupts prefrontal control to impair fear extinction.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Divergent Roles of Nucleus Accumbens D1- and D2-MSNs in Regulating Hedonic Feeding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Glutamatergic dysfunction of astrocytes in paraventricular nucleus of thalamus contributes to adult anxiety susceptibility in adolescent ethanol exposed mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
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- Cell Type-Specific Encoding of Cocaine-Conditioned Responses in the Lateral Preoptic Area.The European journal of neuroscience · 2026Article
- Oxytocin facilitates social behavior of female rats via selective modulation of interneurons in the medial prefrontal cortex.Nature communications · 2026Article
- Serotonin modulates nucleus accumbens circuits to suppress aggression in mice.Nature communications · 2026Article
- Light tunes long-term threat avoidance behavior in male mice.Nature communications · 2026Article
- Projection-specific roles of basolateral amygdala Thy1 neurons in alcohol-induced place preference.Molecular psychiatry · 2026Article
32 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
The combined development of new technologies for neuronal recordings and the development of novel sensors for recording both cellular activity and neurotransmitter binding has ushered in a new era for the field of neuroscience. Among these new technologies is fiber photometry, a technique wherein an implanted fiber optic is used to record signals from genetically encoded fluorescent sensors in bulk tissue. Fiber photometry has been widely adapted due to its cost-effectiveness, ability to examine the activity of neurons with specific anatomical or genetic identities, and the ability to use these highly modular systems to record from one or more sensors or brain sites in both superficial and deep-brain structures. Despite these many benefits, one major hurdle for laboratories adopting this technique is the steep learning curve associated with the analysis of fiber photometry data. This has been further complicated by a lack of standardization in analysis pipelines. In the present communication, we present pMAT, a 'photometry modular analysis tool' that allows users to accomplish common analysis routines through the use of a graphical user interface. This tool can be deployed in MATLAB and edited by more advanced users, but is also available as an independently deployable, open-source application.
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