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The hippocampus and medial entorhinal cortex (MEC) form a cognitive map that facilitates spatial navigation. As part of this map, MEC grid cells fire in a repeating hexagonal pattern across an environment. This grid pattern relies on inputs from the medial septum (MS). The MS, and specifically GABAergic neurons, are essential for theta rhythm oscillations in the entorhinal-hippocampal network; however, the role of this population in grid cell function is unclear. To investigate this, we use optogenetics to inhibit MS-GABAergic neurons and observe that MS-GABAergic inhibition disrupts grid cell spatial periodicity. Grid cell spatial periodicity is disrupted during both optogenetic inhibition periods and short inter-stimulus intervals. In contrast, longer inter-stimulus intervals allow for the recovery of grid cell spatial firing. In addition, grid cell phase precession is also disrupted. These findings highlight the critical role of MS-GABAergic neurons in maintaining grid cell spatial and temporal coding in the MEC.
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http://dx.doi.org/10.1016/j.celrep.2024.114590 | DOI Listing |
Nat Neurosci
September 2025
Medical Faculty of Heidelberg University and German Cancer Research Center, Heidelberg, Germany.
Grid cells, with their periodic firing fields, are fundamental units in neural networks that perform path integration. It is widely assumed that grid cells encode movement in a single, global reference frame. In this study, by recording grid cell activity in mice performing a self-motion-based navigation task, we discovered that grid cells did not have a stable grid pattern during the task.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Materials DX Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan.
The quantum mechanics/molecular mechanics (QM/MM) method is a powerful approach for investigating solid surfaces in contact with various types of media, since it allows for flexible modeling of complex interfaces while maintaining an all-atom representation. The mean-field QM/MM method is an average reaction field model within the QM/MM framework. The method addresses the challenges associated with the statistical sampling of interfacial atomic configurations of a medium and enables efficient calculation of free energies.
View Article and Find Full Text PDFMuscle Nerve
September 2025
Division of Plastic and Reconstructive Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Introduction/aims: Therapeutic electrical stimulation (ES) of repaired nerves has been demonstrated to improve muscle function. Previous studies applied ES to the proximal transected nerve end (P-ES) with benefits to the neuronal cell body. We investigated whether a single ES dose applied to the distal end (D-ES) or distal and proximal ends (DP-ES) prior to nerve repair provides benefits to neuromuscular junction (NMJ) and muscle recovery.
View Article and Find Full Text PDFBiofabrication
September 2025
Institute of Macromolecular Chemistry, Institute of Macromolecular Chemistry Czech Academy of Sciences, Heyrovského nám. 2, 162 06 Prague 6, Prague, Prague, 162 06, CZECH REPUBLIC.
Extensive peripheral nerve injuries often lead to the loss of neurological function due to slow regeneration and limited recovery over large gaps. Current clinical interventions, such as nerve guidance conduits (NGCs), face challenges in creating biomimetic microenvironments that effectively support nerve repair. The developed GrooveNeuroTube is composed of hyaluronic acid methacrylate and gelatin methacrylate hydrogel, incorporating active agents (growth factors and antibacterial agents) encapsulated within an NGC conduit made of 3D-printed PCL grid fibers.
View Article and Find Full Text PDFPsychol Rev
September 2025
Neural Computation Group, Max-Planck Institute for Human Cognitive and Brain Sciences.
It has been suggested that episodic memory relies on the well-studied machinery of spatial memory. This influential notion faces hurdles that become evident with dynamically changing spatial scenes and an immobile agent. Here I propose a model of episodic memory that can accommodate such episodes via temporal indexing.
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