Biology subjects

Ichiyama, A.

Publications and source records attributed to Ichiyama, A..

4 recordsLinked to original sources

bioRxiv2025

Hypothalamic recurrent inhibition regulates functional states of stress effector neurons.

Stress triggers rapid and reversible shifts in vital physiological functions from homeostatic operation to emergency response. However, the neural mechanisms regulating such functional stress states remain poorly understood. Here we identify a novel recurrent inhibitory circuit governing functional states of key stress regulatory neurons: corticotropin-releasing hormone (CRH) neurons in the hypothalamic paraventricular nucleus (PVN). Microendoscopic calcium imaging in freely behaving mice revealed synchronized low-activity state at baselines and a reversible high-activity state during mild stress. Ensemble analysis indicated increased dimensionality of network dynamics during high-activity state. Computational modeling of calcium ensemble data, together with independent modeling of single-unit CRHPVN neurons spiking dynamics, converged to show that recurrent inhibition is a key circuit motif for stress-induced functional state transitions. Guided by model predictions, chemogenetic manipulations of PVN-projecting GABAergic neurons (PVN[->]GABA) revealed their roles in constraining CRHPVN neurons to low-activity state at baselines via a prolonged feedback inhibition. Unexpectedly, slow CRHergic excitation was dispensable for driving this prolonged feedback, whereas glutamatergic transmission predominated at CRH[->]PVN[->]GABA excitatory synapses. Incorporating these findings, we refined our computational model to include fast excitation and slow inhibition, yielding new predictions for circuit operation. Together, our results establish recurrent inhibition as a fundamental circuit motif controlling CRHPVN neurons functional states and highlight the value of iterative experiment-model integration in advancing understanding of neural circuits functions.

neuroscience↗

bioRxiv2025

Second-Scale Neural Dynamics Shape Hormonal Outputs in Hypothalamic CRH Neurons

The elevation of glucocorticoids is a hallmark of stress, arising from the integration of rapid neuronal signals into sustained hormonal outputs. A key interface for this neuroendocrine signal translation is corticotropin releasing hormone (CRH) neurons in the paraventricular nucleus of the hypothalamus (PVN), which release CRH at the median eminence (ME). We recently discovered that CRHPVN neurons exhibit a characteristic shift in firing patterns from rhythmic short-bursts (low-activity state) to tonic firing (high-activity state) in response to stress. This raised a critical question: how are these distinct firing patterns are integrated into slower, sustained hormonal outputs at neuroendocrine terminals? Here, we implemented optical approaches to detect CRH release ex vivo and in vivo. Using newly developed sniffer cells for CRH, we measured CRH release at ME ex vivo, triggered by the distinct, in vivo-like firing patterns. Our results demonstrated that the primary determinant of neuroendocrine CRH release was the firing rate sustained over the timescale of seconds, with little contribution from specific firing patterns. These results collaborated with second-scale increase in firing rate triggered by stress stimuli. Additionally, we recorded the dynamics of CRH at the ME in the freely moving mice using genetically-encoded GPCR-activation based (GRAB) sensors for CRH. Foot shock stress triggered transient, time-locked increases in CRH release on the timescale of seconds. Importantly, these second-scale CRH pulses, when elicited during repeated foot shocks, were integrated over minutes to scale downstream hormone releases. Together, our data revealed critical roles of second-scale dynamics in CRHPVN neuron activity for the neuroendocrine translation of stress signals.

neuroscience↗

bioRxiv2022

State-dependent activity dynamics of hypothalamic stress effector neurons

The stress response necessitates an immediate boost in vital physiological functions from their homeostatic operation to elevated emergency response. However, neural mechanisms underlying this state-dependent change remain largely unknown. Using a combination of in vivo and ex vivo electrophysiology with computational modeling, we report that corticotropin releasing hormone (CRH) neurons in the paraventricular nucleus of the hypothalamus (PVN), the effector neurons of hormonal stress response, rapidly transition between distinct activity states through recurrent inhibition. Specifically, in vivo optrode recording shows that under non-stress conditions, CRHPVN neurons often fire with rhythmic brief bursts (RB), which, somewhat counterintuitively, constrains firing rate due to long ([~]2 s) inter-burst intervals. Stressful stimuli rapidly switch RB to continuous single spiking (SS), permitting a large increase in firing rate. A spiking network model shows that recurrent inhibition can control this activity-state switch, and more broadly the gain of spiking responses to excitatory inputs. In biological CRHPVN neurons ex vivo, the injection of whole-cell currents derived from our computational model recreates the in vivo-like switch between RB and SS, providing a direct evidence that physiologically relevant network inputs enable state-dependent computation in single neurons. Together, we present a novel mechanism for state-dependent activity dynamics in CRHPVN neurons.

neuroscience↗

bioRxiv2019

Stress-induced neuronal hypertrophy decreases the intrinsic excitability in stress habituation

A rapid activation of the hypothalamic-pituitary-adrenal (HPA) axis is a hallmark stress response to an imminent threat, but its chronic activation can be detrimental. Thus, the long-term survival of animals requires experience-dependent fine-tuning of the stress response. However, the cellular mechanisms underlying the ability to decrease the stress responsiveness of the HPA axis remain largely unsolved. Using a stress habituation model in male mice and slice patch-clamp electrophysiology, we studied hypothalamic corticotropin-releasing hormone neurons that form the apex of the HPA axis. We found that the intrinsic excitability of these neurons substantially decreased after daily repeated restraint stress in a time course that coincided with their loss of stress responsiveness in vivo. This plasticity of intrinsic excitability co-developed with an expansion of surface membrane area, resulting in an increase in input conductance with minimal changes in conductance density. Moreover, multi-photon and electron microcopy data found that repeated stress augmented ruffling of the plasma membrane, suggesting an ultrastructural plasticity that efficiently accommodates membrane area expansion with proportionally less expansion of gross cell volume. Overall, we report a novel structure-function relationship for intrinsic excitability plasticity that correlates with habituation of the neuroendocrine stress response.\n\nSignificance statementThe long-term survival of animals requires experience-dependent fine-tuning of stress response. Using a mouse model of repeated stress that develops habituation of the hypothalamic-pituitary-adrenal (HPA) axis, our study demonstrates a robust decrease in the intrinsic excitability of the output neuroendocrine neurons of the HPA axis. Mechanistically, we show that repeated stress increases the cell size of these neurons (i.e. surface membrane area). This cell-size change increases input conductance, and hence decreases excitability. Our findings challenge a conventional view that plasticity of intrinsic excitability relies on changes on membrane excitability resulting from up- and down-regulation of various voltage-gated ion channels. Our study reports a novel structure-function relationship for intrinsic excitability plasticity that correlates with habituation of the neuroendocrine stress response.

neuroscience↗