Biology subjects

Do Monte, F. H.

Publications and source records attributed to Do Monte, F. H..

3 recordsLinked to original sources

bioRxiv2026

A Hypothalamic Inhibitory Circuit Encoding the Scalability of Stress Responses

An appropriate stress response is essential for properly responding to, coping with, and subsequently recovering from disturbing environmental stimuli. However, how the brain dynamically encodes the scalability of stress responses remains poorly understood. Here, we found that, GABAergic neurons in the arcuate nucleus (Arc, denoted as ArcGABA neurons) send direct inputs to corticotropin-releasing hormone (CRH) neurons in the paraventricular nucleus of the hypothalamus (PVH, denoted as PVHCRH neurons), the primary regulators of the hypothalamic-pituitary-adrenal (HPA) axis. Although PVHCRH neurons exhibited time-locked activation in response to various environmental stressors, both GABA release onto PVHCRH neurons and the activity of PVHCRH-projecting ArcGABA neurons were selectively reduced during exposure to prolonged, high-intensity stressors, but not following exposure to transient, low-intensity stressors. Notably, GABA release onto PVHCRH neurons was positively correlated with PVHCRH-projecting ArcGABA neuron activity, yet anticorrelated with PVHCRH neuronal activity in response to the same prolonged, high-intensity stressors. Selective silencing of PVHCRH-projecting ArcGABA neurons was sufficient to elevate HPA axis activity and stress levels, phenocopying the effect of direct of PVHCRH neuron activation. Conversely, selective activation of PVHCRH-projecting ArcGABA neurons reduced both HPA axis activity and stress levels, this effect was completely abolished by concurrent excitation of PVHCRH neurons. Molecular identity screening further revealed that these PVHCRH-projecting ArcGABA neurons are not subsets expressing agouti-related peptide (AgRP) and tyrosine hydroxylase (TH) markers. Collectively, these findings indicate that the non-AgRP/TH ArcGABA PVHCRH neurocircuit serves as a critical neural substrate that directly encodes the scalability of stress responses to environmental stressors by modulating inhibitory GABA release in a stimulus intensity-dependent manner.

neuroscience↗

bioRxiv2022

Enhancing associative learning in rats with a computationally designed training protocol

BackgroundLearning requires the activation of protein kinases with distinct temporal dynamics. In Aplysia, nonassociative learning can be enhanced by a computationally designed learning protocol with intertrial intervals (ITIs) that maximize the interaction between fast-activated protein kinase A (PKA) and slow-activated extracellular signal-regulated kinase (ERK). Whether a similar strategy can enhance associative learning in mammals is unknown. MethodsWe simulated 1,000 training protocols with varying ITIs to predict an optimal protocol based on empirical data for PKA and ERK dynamics in rat hippocampus. Adult male rats received the optimal protocol or control protocols in auditory fear conditioning and fear extinction experiments. Immunohistochemistry was performed to evaluate phosphorylated cAMP responsive element binding (pCREB) protein levels in brain regions implicated in fear acquisition. ResultsRats exposed to the optimal conditioning protocol with irregular ITIs exhibited impaired extinction memory acquisition within the session using a standard footshock intensity, and stronger fear memory retrieval and spontaneous recovery with a weaker footshock intensity, compared to rats that received massed or spaced conditioning protocols with fixed ITIs. Rats exposed to the optimal extinction protocol displayed improved extinction of contextual fear memory and reduced spontaneous recovery compared to rats that received standard extinction protocols. Moreover, the optimal conditioning protocol increased pCREB levels in the dentate gyrus (DG) of the dorsal hippocampus, suggesting enhanced induction of long-term potentiation. ConclusionThese findings demonstrate that a computational model-driven behavioral intervention can enhance associative learning in mammals, and may provide insight into strategies to improve cognition in humans.

neuroscience↗

bioRxiv2021

Neural correlates and determinants of approach-avoidance conflict in the prelimbic prefrontal cortex

The recollection of environmental cues associated with threat or reward allows animals to select the most appropriate behavioral responses. Neurons in the prelimbic cortex (PL) respond to both threat- and reward-associated cues. However, it remains unknown whether PL regulates threat-avoidance vs. reward-approaching responses when an animals decision depends on previously associated memories. Using a conflict model in which male Long-Evans rats retrieve memories of shock- and food-paired cues, we observed two distinct phenotypes during conflict: i) rats that continued to press a lever for food (Pressers); and ii) rats that exhibited a complete suppression in food seeking (Non-Pressers). Single-unit recordings revealed that increased risk-taking behavior in Pressers is associated with persistent food-cue responses in PL, and reduced spontaneous activity in PL glutamatergic (PLGLUT) neurons during conflict. Activating PLGLUT neurons in Pressers attenuated food-seeking responses in a neutral context, whereas inhibiting PLGLUT neurons in Non-Pressers reduced defensive responses and increased food approaching during conflict. Our results establish a causal role for PLGLUT neurons in mediating individual variability in memory-based risky decision making by regulating threat-avoidance vs. reward-approach behaviors.

neuroscience↗