Hippocampus最新文献

The cover image is based on the article Manipulating Engram Histone Acetylation Alters Memory Consolidation by Davide M. Coda et al., https://doi.org/10.1002/hipo.70041.

The epigenome provides the brain with a nucleus-templated form of plasticity that is of fundamental importance for learning and memory. Of the various types of epigenetic modifications, elevations in histone acetylation have been shown to accompany learning and memory, yet the role this epigenetic modification plays within specific cell populations has remained unexplored. Here, we developed a genetic approach to manipulate whole-genome histone acetylation in memory-bearing neuronal ensembles. By showing that an increase in histone acetylation promotes fear memory recall, while its downregulation has the opposite effect, we revealed the existence of a functional relationship between histone acetylation and memory expression within memory-bearing engram cells.

This essay describes the development of the in vitro hippocampal slice technique and my small contributions to it and to influencing Roger Nicoll's early interests in the hippocampus and LTP. My Ph.D. work at Harvard with Timothy Teyler was on field potential studies of synaptic plasticity, including LTP, in the rat in vitro hippocampal slice. As a postdoc, I introduced the slice preparation to Roger Nicoll's lab at UCSF but failed to interest him in LTP. Here I explain how Nicoll's scientific philosophy both motivated me to develop our first submersion slice chamber and kept him from investigating LTP for nearly a decade. Finally, I recount the history of the name “LTP.”

Aging is associated with changes in spatial memory and navigation, yet the mechanisms underlying these changes are not yet fully understood. Environmental boundaries are among the most salient and reliable spatial cues, supporting both spatial memory and orientation. Here, we investigated how aging affects the use and the neural representation of boundary information during a virtual object location memory task. Healthy young and older adults navigated a square virtual environment while undergoing functional magnetic resonance imaging, allowing us to assess moment-to-moment encoding of distance to environmental boundaries in the entorhinal cortex and subiculum. Behaviorally, both age groups showed more accurate memory for objects located near boundaries, but this effect was amplified in older adults, whose spatial precision declined more steeply with increasing distance from boundaries. Older adults also exhibited a stronger bias to recall objects closer to boundaries. Analysis of navigation behavior revealed that older adults followed boundary-oriented paths regardless of target location, whereas young adults flexibly adapted their navigation based on spatial context. Neurally, older adults—but not young adults—showed significant blood-oxygen-level-dependent modulation by boundary distance in the entorhinal cortex and subiculum, with activity decreasing as participants moved farther from boundaries. This effect was most pronounced in low-performing older adults and was associated with stronger behavioral boundary bias, suggesting a maladaptive reliance on proximity-based cues. Together, our results provide converging behavioral and neural evidence that aging alters the use and representation of boundary information, with downstream effects on spatial memory. Altered boundary processing may represent a key mechanism contributing to age-related declines in spatial cognition.

Norepinephrine, acting through β-adrenergic receptors (β-ARs), has a key role in hippocampus-dependent forms of learning. Although β-AR activation also facilitates the induction of Hebbian LTP, recent findings indicate that a non-Hebbian form of synaptic plasticity, known as behavioral timescale synaptic plasticity (BTSP), underlies hippocampus-dependent spatial learning. To explore the role of noradrenergic signaling in BTSP, I investigated the effects of the β-AR activation on complex spike (CS) burst-dependent LTP, a form of BTSP induced by theta-pulse stimulation (TPS) protocols in the CA1 region of mouse hippocampal slices. β-AR activation not only enhanced the homosynaptic potentiation of synaptic transmission induced by TPS but also modulated heterosynaptic forms of plasticity critical for CS burst-dependent LTP induction. Specifically, β-AR activation enhanced the heterosynaptic facilitation of CS bursting induced by brief TPS trains and facilitated the ability of synapses to interact in a cooperative fashion to undergo LTP, even when independent groups of synapses were activated up to 10 s apart. β-AR activation also enhanced a CS burst-dependent form of heterosynaptic depression elicited by longer trains of TPS, resulting in a winner-take-all form of synaptic competition where the β-AR-mediated facilitation of LTP induction at one group of synapses was associated with a strong, heterosynaptic suppression of LTP at other synapses. Together, these findings indicate that β-AR activation dynamically regulates fundamental properties of CS burst-dependent synaptic plasticity by modulating multiple forms of heterosynaptic plasticity.

Volumetry of subregions in the medial temporal lobe (MTL) computed from automatic segmentation in MRI can track neurodegeneration in Alzheimer's disease. However, poor quality MR images can lead to unreliable segmentation of MTL subregions. Considering that different MRI contrast mechanisms and field strengths (jointly referred to as “modalities” here) offer distinct advantages in imaging different parts of the MTL, we developed a multi-modality segmentation model using both 7T and 3T structural MRI to obtain robust segmentation in poor-quality images. MRI modalities including 3T T1-weighted, 3T T2-weighted, 7T T1-weighted and 7T T2-weighted (7T-T2w) of 197 participants were collected from a longitudinal aging study at the Penn Alzheimer's Disease Research Center. Among them, 7T-T2w was used as the primary modality, and all other modalities were rigidly registered to the 7T-T2w. A model derived from nnU-Net took these registered modalities as input and outputted subregion segmentation in 7T-T2w space. 7T-T2w images most of which had high quality from 25 selected training participants were manually segmented to train the multi-modality model. Modality augmentation, which randomly replaced certain modalities with Gaussian noise, was applied during training to guide the model to extract information from all modalities. The multi-modality model delivered good performance regardless of 7T-T2w quality, while the single-modality model under-segmented subregions in poor-quality images. The multi-modality model generally demonstrated stronger discrimination of A + MCI versus A-CU. Intra-class correlation and Bland–Altman plots demonstrate that the multi-modality model had higher longitudinal segmentation consistency in all subregions while the single-modality model had low consistency in poor-quality images. The multi-modality MRI segmentation model provides an improved biomarker for neurodegeneration in the MTL that is robust to image quality. It also provides a framework for other studies which may benefit from multimodal imaging.