98%
921
2 minutes
20
The hypocretin (Hcrt) (also known as orexin) neuropeptidic wakefulness-promoting system is implicated in the regulation of spatial memory, but its specific role and mechanisms remain poorly understood. In this study, we revealed the innervation of the medial entorhinal cortex (MEC) by Hcrt neurons in mice. Using the genetically encoded G-protein-coupled receptor activation-based Hcrt sensor, we observed a significant increase in Hcrt levels in the MEC during novel object-place exploration. We identified the function of Hcrt at presynaptic glutamatergic terminals, where it recruits fast-spiking parvalbumin-positive neurons and promotes gamma oscillations. Bidirectional manipulations of Hcrt neurons' projections from the lateral hypothalamus (LH) to MEC revealed the essential role of this pathway in regulating object-place memory encoding, but not recall, through the modulation of gamma oscillations. Our findings highlight the significance of the LH-MEC circuitry in supporting spatial memory and reveal a unique neural basis for the hypothalamic regulation of spatial memory.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.neuron.2023.10.012 | DOI Listing |
Acta Pharmacol Sin
September 2025
Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong Joint Laboratory for Psychiatric Disorders, Guangdong Province Key Laboratory of Psychiatric Disorders, Guangdong Bas
Recent investigations into the rapid antidepressant effects of ketamine, along with studies on schizophrenia-related susceptibility genes, have highlighted the GluN2A subunit as a critical regulator of both emotion and cognition. However, the specific impacts of acute pharmacological inhibition of GluN2A-containing NMDA receptors on brain microcircuits and the subsequent behavioral consequences remain poorly understood. In this study, we first examined the effects of MPX-004, a selective GluN2A NMDA receptor inhibitor, on behavior within the dorsomedial prefrontal cortex (dmPFC).
View Article and Find Full Text PDFJ Neurosci
September 2025
Department of Bioengineering, George Mason University, Fairfax, VA, United States,
In the hippocampal formation, cholinergic modulation from the medial septum/diagonal band of Broca (MSDB) is known to correlate with the speed of an animal's movements at sub-second timescales and also supports spatial memory formation. Yet, the extent to which sub-second cholinergic dynamics, if at all, align with transient behavioral and cognitive states supporting the encoding of novel spatial information remains unknown. In this study, we used fiber photometry to record the temporal dynamics in the population activity of septo-hippocampal cholinergic neurons at sub-second resolution during a hippocampus-dependent object location memory task using ChAT-Cre mice of both sexes.
View Article and Find Full Text PDFNeurosci Biobehav Rev
September 2025
Department of Psychology, Ludwig-Maximilians-University Munich. Munich, Germany.
The neuroscience of creativity has proposed that shared and domain-specific brain mechanisms underlie creative thinking. However, greater nuance is needed in characterizing these mechanisms, and limited neuroimaging analyses, especially regarding the relationship between the Alternative Uses Task (AUT) and other linguistic tasks, have so far prevented a comprehensive understanding of the neural basis of creativity. This paper offers to fill these gaps with a closer examination of the contributions of the specific domains and the deactivations associated with creativity.
View Article and Find Full Text PDFBackground: Staphylococcus epidermidis (SE) is a predominant hospital-acquired bacterium leading to late-onset sepsis in preterm infants. Recent findings have suggested that postnatal S. epidermidis infection is associated with short-term neurodevelopmental consequences.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Epilepsy, a highly individualized neurological disorder, affects millions globally. Electroencephalography (EEG) remains the cornerstone for seizure diagnosis, yet manual interpretation is labor-intensive and often unreliable due to the complexity of multi-channel, high-dimensional data. Traditional machine learning models often struggle with overfitting and fail in fully capturing the highdimensional, temporal dynamics of EEG signals, restricting their clinical utility.
View Article and Find Full Text PDF