Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Oct;39(5):e70043.
doi: 10.1111/fcp.70043.

Leveraging Fiber Photometry to Decipher Neural Circuits Underlying Anxiety in Mice

Affiliations
Review

Leveraging Fiber Photometry to Decipher Neural Circuits Underlying Anxiety in Mice

Salma R Abdennebi et al. Fundam Clin Pharmacol. 2025 Oct.

Abstract

Anxiety disorders rank among the most prevalent mental health conditions worldwide, significantly affecting patients' lives. They are frequently comorbid with other psychiatric disorders, often exacerbating their severity. Current pharmacological treatments; selective serotonin reuptake inhibitors (SSRIs) and benzodiazepines, remain limited in efficacy and are associated with undesirable side effects, underscoring the urgent need for alternative therapeutic approaches. However, progress in developing new treatments has been hindered by an incomplete understanding of the neural mechanisms underlying these disorders. Bridging this knowledge gap requires advanced research tools capable of providing deeper insight into the neural circuits involved in anxiety. Fiber photometry (FP) has emerged as a powerful and cost-effective technique for measuring neural activity in freely moving animal models. By enabling real-time monitoring of calcium dynamics in specific neural populations within defined brain regions, this method offers invaluable insights into both normal physiological processes and pathological states. In this review, we first present an accessible introduction to FP, detailing its apparatus, procedures, and key advantages and limitations. We then conducted a comprehensive analysis of 39 studies indexed in PubMed that have employed FP to investigate neural circuits implicated in anxiety. Our review reveals the techniques' significant contributions across different research domains, including physiological (33%), pathological (53%), and dual-purpose studies (13%). Beyond summarizing its utility, our goal is to make FP more accessible to researchers. By providing a foundational guide for its integration into future scientific projects, we aim to facilitate advances in anxiety research and contribute to the development of novel therapeutic strategies.

Keywords: anxiety disorders; fiber photometry; mice; neural circuits.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
Protocol to study and confirm pyramidal neural activity in the ventral hippocampus. Step 1: Local injection (ventral hippocampus) of the virus (AAV9‐CamKII.GCaMP6s.WPRE.SV40) through stereotaxic surgery under isoflurane anesthesia ⟶ recovery 2–5 weeks. Step 2: Fiber photometry recording (see Figure 2). Step 3: Confirmation of virus expression by immunohistochemistry (5× and 10×).
FIGURE 2
FIGURE 2
Fiber photometry apparatus, recording, and signal processing in the ventral hippocampus. (A) Fiber photometry apparatus and experimental setup. A laser beam is directed through a dichroic mirror into an objective lens and further down an optical patch cord, and to the brain region of interest. Within the brain, the laser excites calcium‐bound GCaMP, inducing a conformational change that triggers fluorescence emission by the green fluorescent protein (GFP). The emitted fluorescence travels back through the optical patch cord, passes through the objective lens again, is separated from the laser light by the dichroic mirror, and then is directed towards a photodetector. The resulting signal is amplified and processed by a data acquisition system. (B) Example of a signal recorded in the vHPC of a Balb/c mouse during basic home cage exploration. We used FP3002 apparatus (Neurophotometrics, MBF Bioscience, USA) for signal recordings as well as Bonsai (open‐source, V 2.9.0) for system control. The raw signal includes a calcium‐dependent fluorescence trace at 470 nm and an isosbestic control trace at 415 nm. Signal processing involves calculating the mean fluorescence (F) of both the calcium‐dependent and isosbestic signals. The data are then normalized as ΔF/F (%), where ΔF/F represents the percentage change in fluorescence relative to the baseline fluorescence (F 0). This provides a clearer representation of calcium dynamics in the recorded region. Signal processing was done using MATLAB (MathWorks, USA, R2024b). (C) Zoom on calcium transients (red arrow).
FIGURE 3
FIGURE 3
Illustration summarizing the brain regions recorded across 39 studies. The illustration represents the zones recorded using fiber photometry across the selected studies, categorized into three types: Studies using naïve mice (13 studies, 54%, green) focused on 16 zones, with the BNST and PVN being prominent. Studies using anxiety‐inducing pathophysiological model mice (17 studies, 43.5%, purple) examined 17 zones, notably the NAc, PVN, ACC, and mPFC. Studies using both naïve and anxiety‐inducing pathophysiological model mice (5 studies, 13%, blue) investigated eight zones, with emphasis on the HPC and related areas. The BLA, PVN, IPN, NAc, and dmPFC stand out as the most frequently studied zones overall. *Studies from various hippocampal subregions.

Similar articles

  • Management of urinary stones by experts in stone disease (ESD 2025).
    Papatsoris A, Geavlete B, Radavoi GD, Alameedee M, Almusafer M, Ather MH, Budia A, Cumpanas AA, Kiremi MC, Dellis A, Elhowairis M, Galán-Llopis JA, Geavlete P, Guimerà Garcia J, Isern B, Jinga V, Lopez JM, Mainez JA, Mitsogiannis I, Mora Christian J, Moussa M, Multescu R, Oguz Acar Y, Petkova K, Piñero A, Popov E, Ramos Cebrian M, Rascu S, Siener R, Sountoulides P, Stamatelou K, Syed J, Trinchieri A. Papatsoris A, et al. Arch Ital Urol Androl. 2025 Jun 30;97(2):14085. doi: 10.4081/aiua.2025.14085. Epub 2025 Jun 30. Arch Ital Urol Androl. 2025. PMID: 40583613 Review.
  • Short-Term Memory Impairment.
    Cascella M, Al Khalili Y. Cascella M, et al. 2024 Jun 8. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2024 Jun 8. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 31424720 Free Books & Documents.
  • Pharmacological treatments in panic disorder in adults: a network meta-analysis.
    Guaiana G, Meader N, Barbui C, Davies SJ, Furukawa TA, Imai H, Dias S, Caldwell DM, Koesters M, Tajika A, Bighelli I, Pompoli A, Cipriani A, Dawson S, Robertson L. Guaiana G, et al. Cochrane Database Syst Rev. 2023 Nov 28;11(11):CD012729. doi: 10.1002/14651858.CD012729.pub3. Cochrane Database Syst Rev. 2023. PMID: 38014714 Free PMC article.
  • The Black Book of Psychotropic Dosing and Monitoring.
    DeBattista C, Schatzberg AF. DeBattista C, et al. Psychopharmacol Bull. 2024 Jul 8;54(3):8-59. Psychopharmacol Bull. 2024. PMID: 38993656 Free PMC article. Review.
  • Development of a Marmoset Apparatus for Automated Pulling to study cooperative behaviors.
    Meisner OC, Shi W, Fagan NA, Greenwood J, Jadi MP, Nandy AS, Chang SWC. Meisner OC, et al. Elife. 2024 Oct 28;13:RP97088. doi: 10.7554/eLife.97088. Elife. 2024. PMID: 39466838 Free PMC article.

References

    1. “Troubles Anxieux,” accessed March 23, 2025, https://www.who.int/fr/news‐room/fact‐sheets/detail/anxiety‐disorders.
    1. Leray E., Camara A., Drapier D., et al., “Prevalence, Characteristics and Comorbidities of Anxiety Disorders in France: Results From the “Mental Health in General Population” Survey (MHGP),” European Psychiatry 26, no. 6 (2011): 339–345, 10.1016/j.eurpsy.2009.12.001. - DOI - PubMed
    1. McLean C. P., Asnaani A., Litz B. T., and Hofmann S. G., “Gender Differences in Anxiety Disorders: Prevalence, Course of Illness, Comorbidity and Burden of Illness,” Journal of Psychiatric Research 45, no. 8 (2011): 1027–1035, 10.1016/j.jpsychires.2011.03.006. - DOI - PMC - PubMed
    1. Crocq M. A. and Guelfi J. D., DSM‐5: Manuel Diagnostique et Statistique des Troubles Mentaux, 5e éd ed., (Elsevier Masson, 2015).
    1. Wang X., Lin J., Liu Q., et al., “Major Depressive Disorder Comorbid With General Anxiety Disorder: Associations Among Neuroticism, Adult Stress, and the Inflammatory Index,” Journal of Psychiatric Research 148 (2022): 307–314, 10.1016/j.jpsychires.2022.02.013. - DOI - PubMed