Jennifer L Bizon
· Professor & Chair, Neuroscience; Director, Evelyn F. And William L. McKnight Brain InstituteVerifiedUniversity of Florida · Neuroscience
Active 1995–2026
Research topics
- Physiology
- Developmental psychology
- Medicine
- Psychology
- Endocrinology
- Internal medicine
- Biology
- Psychiatry
- Chemistry
- Zoology
Selected publications
bioRxiv (Cold Spring Harbor Laboratory) · 2026-02-09
articleOpen accessSenior authorAging is associated with chronic low-grade inflammation, which is thought to contribute to both cognitive decline and various neurodegenerative diseases. Cannabinoids are reported to reduce levels of inflammatory markers; however, these effects have not been thoroughly assessed in aged subjects. To address this gap, we evaluated effects of chronic cannabis smoke exposure on peripheral and brain inflammatory markers in young and aged mice. Young adult (4 months old) and aged (22 months old) C57Bl/6J mice were exposed to smoke from burning either cannabis (5.5 - 6.2% THC) or placebo (0% THC) cigarettes daily for 30 consecutive days. Following exposure sessions, both blood and brain tissue from the prefrontal cortex (PFC) and hippocampus (HPC) were collected and analyzed for multiple markers of inflammation. Overall, the patterns of inflammatory markers varied across the three tissue types. Both comparisons of individual cytokines and global cytokine profiles revealed that aging caused modest increases in cytokine levels in serum and PFC, with little influence of cannabis exposure. In contrast, HPC samples had stronger age effects, with numerous cytokines elevated in aged mice compared to young. Cannabis also interacted with age in the HPC such that smoke exposure tended to increase cytokine levels in young mice but decrease them in aged mice. These findings point to general age-related increases in brain inflammatory markers in this mouse strain, but cannabis effects were largely restricted to the HPC, where smoke exposure produced age-dependent changes in cytokine profiles. HIGHLIGHTS: Aged C57BL/6 mice have elevated cytokines levels, especially in the hippocampusCannabis smoke exposure produces age-dependent changes in cytokine levels in hippocampusIn HPC, cannabis smoke exposure attenuated age-related increases in IL-13 and Dkk1.
Neural Mechanisms of Decision Making Under Risk of Punishment: Insights From Rodent Models
Wiley Interdisciplinary Reviews Cognitive Science · 2025-07-01 · 2 citations
articleThere are few cognitive functions more essential than decision making, as better decisions improve our chances of survival. Cost-benefit decisions as they apply to most scenarios in the developed world can range from relatively mundane to reasonably important; however, particularly risky choices such as speeding on our way to work or consuming suspicious foods can pose a genuine risk of significant harm or illness. How is it that our brains learn and evaluate these risks and rewards to arrive at decisions? Additionally, what drives some of us to continue despite, or avoid because of, potential adverse consequences? This review explores neural mechanisms underlying cost-benefit decision making, focusing on paradigms used in human and particularly rodent studies to model decision making under the risk of explicit punishments, such as pain, discomfort, or loss. The review focuses on several key brain regions (the prefrontal cortex, basolateral amygdala, and striatum), and their roles in the assessment of rewards, punishments (or risk thereof), and motivated behaviors. It also discusses pertinent literature on the role of dopamine arising from the ventral tegmental area, as a neuromodulator critical for learning and reinforcement in the context of risky decision making. This article is categorized under: Neuroscience > Behavior Economics > Individual Decision-Making Psychology > Reasoning and Decision Making.
bioRxiv (Cold Spring Harbor Laboratory) · 2025-03-15
preprintOpen accessAbstract The basolateral amygdala (BLA) plays a crucial role in context-specific learning and memory by integrating valence-specific stimuli with internal physiological states. Cholinergic signaling systems modulate neural excitability to influence information processing in the BLA. Muscarinic acetylcholine receptors (mAChRs) are of particular interest because aberrant mAChR signaling in BLA circuits is associated with neuropsychiatric disorders, cognitive impairment, substance use, and age-related cognitive decline. This study evaluates mAChR activation in BLA principal neurons (PNs) in juvenile rat brain slices using whole-cell patch-clamp recordings. We found that bath application of carbachol (CCh,) produces a pirenzepine sensitive excitatory response in BLA PNs voltage clamped near the resting potential, which depends on an underlying biphasic change in membrane resistance, indicating an involvement of multiple effectors. More specifically, we observed that CCh excites BLA PNs by inhibiting the afterhyperpolarization (AHP), by reducing a steady state inhibitory current, and by promoting an afterdepolarization (ADP). We further identify and characterize a CCh-induced and calcium-activated non-selective cation current (I CAN ) that underlies the ADP in voltage clamp. Overall, our findings provide new insights into specific effectors modulated by activation of pirenzepine sensitive mAChRs expressed by BLA PNs. We also reveal new details about the time-and voltage-dependence of current carried by the CCh - activated I CAN like current in BLA PNs, and highlight its ability to promote a suprathreshold ADP capable of generating sustained firing after a brief excitatory stimulus. Improved understanding of these effectors will provide potentially valuable new insights on the wide range of mechanisms through which cholinergic system dysfunction can lead to impaired executive function.
Spatial mapping of the brain metabolome lipidome and glycome
Nature Communications · 2025-05-12 · 23 citations
articleOpen accessMetabolites, lipids, and glycans are fundamental but interconnected classes of biomolecules that form the basis of the metabolic network. These molecules are dynamically channeled through multiple pathways that govern cellular physiology and pathology. Here, we present a framework for the simultaneous spatial analysis of the metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. This workflow integrates a computational platform, the Spatial Augmented Multiomics Interface (Sami), which enables multiomics integration, high-dimensional clustering, spatial anatomical mapping of matched molecular features, and metabolic pathway enrichment. To demonstrate the utility of this approach, we applied Sami to evaluate metabolic diversity across distinct brain regions and to compare wild-type and Ps19 Alzheimer’s disease (AD) mouse models. Our findings reveal region-specific metabolic demands in the normal brain and highlight metabolic dysregulation in the Ps19 model, providing insights into the biochemical alterations associated with neurodegeneration. Clarke et al. presents a framework for spatial analysis of the metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. Applying this approach, they revealed region-specific metabolic diversity and dysregulation in both normal and diseased mouse brains.
bioRxiv (Cold Spring Harbor Laboratory) · 2025-07-18
preprintOpen accessSenior authorCorrespondingThe ability to choose adaptively between rewards differing in magnitude and delay (intertemporal choice) is critical for numerous life outcomes. Compared to younger adults, older adults tend to exhibit greater preference for large, delayed over small, immediate rewards (i.e., less delay discounting), which could lead to missed opportunities to obtain resources necessary for quality of life. Intertemporal choice is mediated by the prefrontal cortex, but how this is impacted by advanced age is not well understood. We used optogenetic inactivation to investigate contributions of medial prefrontal cortex (mPFC) during distinct components of an intertemporal choice task in young and aged rats. mPFC inactivation during deliberation (during decisions between small, immediate vs. large, delayed rewards) increased preference for large, delayed rewards in both age groups. In contrast, inactivation during delays prior to large reward delivery increased preference for large, delayed rewards only in aged rats. Choices were unaffected by inactivation during other task phases. Results suggest that mPFC integrates information regarding anticipated outcomes into the decision process across the whole lifespan, but that only in aging is mPFC critical for consolidating information regarding reward delays into the decision structure in order to modulate choice behavior.
Behavioural Brain Research · 2025-08-20 · 1 citations
articleCerebral Cortex · 2025-10-01
articleSenior authorThe ability to choose adaptively between rewards differing in magnitude and delay (intertemporal choice) is critical for numerous life outcomes. Compared to younger adults, older adults tend to exhibit greater preference for large, delayed over small, immediate rewards (ie less delay discounting), which could lead to missed opportunities to obtain resources necessary for quality of life. Intertemporal choice is mediated by the prefrontal cortex, but how this is impacted by advanced age is not well understood. We used optogenetic inactivation to investigate contributions of medial prefrontal cortex (mPFC) during distinct components of an intertemporal choice task in young and aged rats. mPFC inactivation during deliberation (during decisions between small, immediate vs. large, delayed rewards) increased preference for large, delayed rewards in both age groups. In contrast, inactivation during delays prior to large reward delivery increased preference for large, delayed rewards only in aged rats. Choices were unaffected by inactivation during other task phases. Results suggest that mPFC integrates information regarding anticipated outcomes into the decision process across the whole lifespan, but that only in aging is mPFC critical for consolidating information regarding reward delays into the decision structure in order to modulate choice behavior.
PubMed · 2025-01-01
articleOpen accesslike current in BLA PNs, and highlight its ability to promote a suprathreshold ADP capable of generating sustained firing after a brief excitatory stimulus. Improved understanding of these effectors will provide potentially valuable new insights on the wide range of mechanisms through which cholinergic system dysfunction can lead to impaired executive function.
bioRxiv (Cold Spring Harbor Laboratory) · 2025-07-19
preprintOpen accessChronic substance use is associated with alterations in multiple forms of cost-benefit decision making, which may prolong and exacerbate continued use. Cues that predict reward can cause substantial shifts in a variety of reward-directed behavior, including decision making. In contrast, how decision making is modulated by cues predictive of punishment is much less well understood. To begin to address these issues, male and female Long-Evans rats were tested in a novel decision-making task in which they chose between a small, "safe" reward and a large reward that was punished by a mild footshock when it was preceded by a probabilistically delivered cue prior to the choice. Rats of both sexes were sensitive to the cue, preferring the large reward in the absence of the cue but the small reward in the presence of the cue. Acute systemic amphetamine reduced choice of the large reward and diminished the efficacy of the cue in guiding choice behavior. Chronic cocaine led to divergent patterns of cue insensitivity in males and females; males increased choice of the large reward on cued trials, whereas females increased avoidance of the large reward on uncued trials. Similar to acute amphetamine, acute systemic administration of the D2/3 dopamine receptor agonist bromocriptine reduced preference for the large reward across all groups. These findings highlight the contributions of punishment cues to decision making, as well as the importance of sex as a biological variable in investigating cognitive alterations caused by chronic substance use.
Behavioral Neuroscience · 2025-04-07
articleOpen accessThe neuropeptide oxytocin is traditionally known for its roles in parturition, lactation, and social behavior. Other data, however, show that oxytocin can modulate behaviors outside of these contexts, including drug self-administration and some aspects of cost-benefit decision making. Here we used a pharmacological approach to investigate the contributions of oxytocin signaling to decision making under risk of explicit punishment. Female and male Long-Evans rats were trained on a risky decision-making task in which they chose between a small, "safe" food reward and a large, "risky" food reward that was accompanied by varying probabilities of mild footshock. Once stable choice behavior emerged, rats were tested in the task following acute intraperitoneal injections of oxytocin or the oxytocin receptor antagonist L-368,899. Oxytocin dose-dependently reduced preference for the large, risky reward only in females, whereas L-368,899 dose-dependently reduced preference for the large, risky reward in both sexes. Control experiments showed that these effects could not be accounted for by drug-induced alterations in preference for the large reward or shock sensitivity. Together, these results reveal partially sex-dependent effects of oxytocin signaling on risky decision making in rats. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
Recent grants
NIH · $3.0M · 2023
Clinical and Translational Predoctoral training in Alzheimers Disease and Related Dementias
NIH · $1.5M · 2018–2029
NIH · $90k
NIH · $3.1M · 2020
Frequent coauthors
- 125 shared
Barry Setlow
Florida College
- 75 shared
Sara N. Burke
University of Florida
- 36 shared
Caesar M. Hernandez
University of Florida
- 34 shared
B. Sofia Beas
- 33 shared
Caitlin A. Orsini
The University of Texas at Austin
- 32 shared
Andrew P. Maurer
University of Florida
- 32 shared
Cristina Bañuelos
Center for the Neural Basis of Cognition
- 28 shared
Marci R. Mitchell
Yale New Haven Health System
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