Cited by 17Memory and Neural MechanismsNeurotransmitter Receptor Influence on BehaviorNeuroscience and Neuropharmacology Research

Divergent encoding of active avoidance behavior in corticostriatal and corticolimbic projections

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Kajs, Bridget L., Loewke, Adrienne C., Dorsch, Jeffrey M., Vinson, Leah T., Gunaydin, Lisa A.·2022·Scientific Reports

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Abstract

Active avoidance behavior, in which an animal performs an action to avoid a stressor, is crucial for survival and may provide insight into avoidance behaviors seen in anxiety disorders. Active avoidance requires the dorsomedial prefrontal cortex (dmPFC), which is thought to regulate avoidance via downstream projections to the striatum and amygdala. However, the endogenous activity of dmPFC projections during active avoidance learning has never been recorded. Here we utilized fiber photometry to record from the dmPFC and its axonal projections to the dorsomedial striatum (DMS) and the basolateral amygdala (BLA) during active avoidance learning in both male and female mice. We examined neural activity during conditioned stimulus (CS) presentations and during clinically relevant behaviors such as active avoidance or cued freezing. Both prefrontal projections showed learning-related increases in activity during CS onset throughout active avoidance training. The dmPFC as a whole showed increased and decreased patterns of activity during avoidance and cued freezing, respectively. Finally, dmPFC-DMS and dmPFC-BLA projections show divergent encoding of active avoidance behavior, with the dmPFC-DMS projection showing increased activity and the dmPFC-BLA projection showing decreased activity during active avoidance. Our results demonstrate task-relevant encoding of active avoidance in projection-specific dmPFC subpopulations that play distinct but complementary roles in active avoidance learning.

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  • Previous studies demonstrate that in animal models of neurodegenerative disorders, such as AD, cognitive function and learning and memory are significantly impaired.

    “Previous studies demonstrate that in animal models of neurodegenerative disorders, such as AD, cognitive function and learning and memory are significantly impaired (Anagnostaras et al., 2010; Chaudry et al., 2022; Kajs et al., 2022; Webster et al., 2014) and that VEEV infections can have an adverse effect on learning memory (Dave and Klein, 2023; Ronca et al., 2016).”

    From Arbovirus infection increases the risk for the development of neurodegenerative disease pathology in the murine model (2024) · cites this paper as Kajs et al., 2022

    The Materials and methods (Animals; page unavailable) describe wild-type mice, and the Results examine active avoidance learning, not neurodegenerative-disease models. Searches for Alzheimer’s disease, neurodegeneration, and impaired cognition or memory found no passage addressing the attributed claim. (LLM, conf=0.77)

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  • Active avoidance tests are particularly valuable for evaluating hippocampal-dependent cognitive functions.

    “Active avoidance tests are particularly valuable for evaluating hippocampal-dependent cognitive functions (Anagnostaras et al., 2010; Chaudry et al., 2022; Kajs et al., 2022).”

    From Arbovirus infection increases the risk for the development of neurodegenerative disease pathology in the murine model (2024) · cites this paper as Kajs et al., 2022

    The Introduction and Discussion describe active avoidance as a way to study avoidance behavior and its encoding in dorsomedial prefrontal circuits. The Materials and methods section describes the active avoidance test used, but neither it nor the retrieved passages addresses whether such tests are particularly valuable for evaluating hippocampal-dependent cognitive functions (searched: hippocampus, hippocampal-dependent learning and memory). (LLM, conf=0.76)

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References 83 · Cited by 17

Research works printed but not linked: 26

  1. [3]Delgado MR Jou RL Ledoux JE Phelps EA Avoiding negative outcomes: tracking the mechanisms of avoidance learning in humans during fear conditioning Front. Behav. Neurosci. 2009 3 33 10.3389/neuro.08.033.2009 19847311 PMC2762377 · DOI
  2. [5]Sripada RK Garfinkel SN Liberzon I Avoidant symptoms in PTSD predict fear circuit activation during multimodal fear extinction Front. Hum. Neurosci. 2013 7 672 10.3389/fnhum.2013.00672 24146643 PMC3797966 · DOI
  3. [9]Bravo-Rivera C Roman-Ortiz C Brignoni-Perez E Sotres-Bayon F Quirk GJ Neural structures mediating expression and extinction of platform-mediated avoidance J. Neurosci. 2014 34 9736 9742 10.1523/JNEUROSCI.0191-14.2014 25031411 PMC4099548 · DOI · Paper page
  4. [10]Diehl, M. M. et al. Active avoidance requires inhibitory signaling in the rodent prelimbic prefrontal cortex. Elife7, (2018). PMC5980229 29851381
  5. [11]Diehl, M. M. et al. Divergent projections of the prelimbic cortex bidirectionally regulate active avoidance. Elife9, (2020). PMC7588229 33054975
  6. [12]Beck KD ITI-signals and prelimbic cortex facilitate avoidance acquisition and reduce avoidance latencies, respectively, in male WKY rats Front. Behav. Neurosci. 2014 8 403 10.3389/fnbeh.2014.00403 25484860 PMC4240176 · DOI
  7. [13]Capuzzo G Floresco SB Prelimbic and infralimbic prefrontal regulation of active and inhibitory avoidance and reward-seeking J. Neurosci. 2020 40 4773 4787 10.1523/JNEUROSCI.0414-20.2020 32393535 PMC7294792 · DOI
  8. [14]Jercog D Dynamical prefrontal population coding during defensive behaviours Nature 2021 595 690 694 10.1038/s41586-021-03726-6 34262175 · DOI
  9. [15]Lázaro-Muñoz G LeDoux JE Cain CK Sidman instrumental avoidance initially depends on lateral and basal amygdala and is constrained by central amygdala-mediated Pavlovian processes Biol. Psychiatry 2010 67 1120 1127 10.1016/j.biopsych.2009.12.002 20110085 PMC3085029 · DOI
  10. [17]Darvas M Fadok JP Palmiter RD Requirement of dopamine signaling in the amygdala and striatum for learning and maintenance of a conditioned avoidance response Learn. Mem. 2011 18 136 143 10.1101/lm.2041211 21325435 PMC3056517 · DOI
  11. [19]Adhikari A Basomedial amygdala mediates top-down control of anxiety and fear Nature 2015 527 179 185 10.1038/nature15698 26536109 PMC4780260 · DOI · Paper page
  12. [20]Cho J-H Deisseroth K Bolshakov VY Synaptic encoding of fear extinction in mPFC-amygdala circuits Neuron 2013 80 1491 1507 10.1016/j.neuron.2013.09.025 24290204 PMC3872173 · DOI
  13. [21]Loewke AC Minerva AR Nelson AB Kreitzer AC Gunaydin LA Frontostriatal projections regulate innate avoidance behavior J. Neurosci. 2021 41 5487 5501 10.1523/JNEUROSCI.2581-20.2021 34001628 PMC8221601 · DOI
  14. [23]Balleine BW O’Doherty JP Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action Neuropsychopharmacology 2010 35 48 69 10.1038/npp.2009.131 19776734 PMC3055420 · DOI · Paper page
  15. [25]Hart G Bradfield LA Balleine BW Prefrontal corticostriatal disconnection blocks the acquisition of goal-directed action J. Neurosci. 2018 38 1311 1322 10.1523/JNEUROSCI.2850-17.2017 29301872 PMC6596266 · DOI
  16. [26]Pitts EG Li DC Gourley SL Bidirectional coordination of actions and habits by TrkB in mice Sci. Rep. 2018 8 4495 10.1038/s41598-018-22560-x 29540698 PMC5852142 · DOI
  17. [27]Hart G Bradfield LA Fok SY Chieng B Balleine BW The bilateral prefronto-striatal pathway is necessary for learning new goal-directed actions Curr. Biol. 2018 28 2218 2229.e7 10.1016/j.cub.2018.05.028 30056856 · DOI
  18. [29]Pennington ZT ezTrack: an open-source video analysis pipeline for the investigation of animal behavior Sci. Rep. 2019 9 19979 10.1038/s41598-019-56408-9 31882950 PMC6934800 · DOI
  19. [31]Chen T-W Ultra-sensitive fluorescent proteins for imaging neuronal activity Published: Nature 2013 499 295 300 PMC3777791 23868258
  20. [32]Burgos-Robles A Vidal-Gonzalez I Quirk GJ Sustained conditioned responses in prelimbic prefrontal neurons are correlated with fear expression and extinction failure J. Neurosci. 2009 29 8474 8482 10.1523/JNEUROSCI.0378-09.2009 19571138 PMC2733220 · DOI · Paper page
  21. [33]Likhtik E Stujenske JM Topiwala MA Harris AZ Gordon JA Prefrontal entrainment of amygdala activity signals safety in learned fear and innate anxiety Nat. Neurosci. 2014 17 106 113 10.1038/nn.3582 24241397 PMC4035371 · DOI · Paper page
  22. [34]Dejean C Prefrontal neuronal assemblies temporally control fear behaviour Nature 2016 535 420 424 10.1038/nature18630 27409809 · DOI
  23. [35]Do-Monte FH Quiñones-Laracuente K Quirk GJ A temporal shift in the circuits mediating retrieval of fear memory Nature 2015 519 460 463 10.1038/nature14030 25600268 PMC4376623 · DOI · Paper page
  24. [36]Rozeske RR Prefrontal-periaqueductal gray-projecting neurons mediate context fear discrimination Neuron 2018 97 898 910.e6 10.1016/j.neuron.2017.12.044 29398355 · DOI
  25. [37]Kravitz AV Kreitzer AC Striatal mechanisms underlying movement, reinforcement, and punishment Physiology 2012 27 167 177 10.1152/physiol.00004.2012 22689792 PMC3880226 · DOI · Paper page
  26. [38]Yu, K., Garcia da Silva, P., Albeanu, D. F. & Li, B. Central amygdala somatostatin neurons gate passive and active defensive behaviors. J. Neurosci.36, 6488–6496 (2016). PMC5015784 27307236

Authors
Kajs, B. L., Loewke, A. C., Dorsch, J. M., Vinson, L. T., & Gunaydin, L. A.
Affiliations
University of California, San Francisco (US)
Corresponding author
Gunaydin, Lisa A.
Venue
Scientific Reports
Published
2022-06-24
Volume
12
Issue
1
Pages
10731-10731
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4283380446
Cited by
17
References
83
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 3
FWCI
1.68
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • Chan Zuckerberg Biohub
  • Kavli Institute for Fundamental Neuroscience
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
dorsomedial prefrontal cortex, dorsomedial striatum, basolateral amygdala, corticostriatal projections, avoidance learning, conditioned stimulus, sex differences, anxiety disorders
MeSH terms
Amygdala, Animals, Avoidance Learning, Conditioning, Operant, Female, Male, Prefrontal Cortex, Mice, Basolateral Nuclear Complex

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