Neuroscience
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Hippocampal atrophy, as evidenced using magnetic resonance imaging (MRI), is one of the most validated, easily accessible and widely used biomarkers of Alzheimer's disease (AD). However, its imperfect sensitivity and specificity have highlighted the need to improve the analysis of MRI data. Based on neuropathological data showing a differential vulnerability of hippocampal subfields to AD processes, neuroimaging researchers have tried to capture corresponding morphological changes within the hippocampus. ⋯ However, controversies remain regarding changes in hippocampal subfield structure in normal aging and regarding correlations between specific subfield volume and memory abilities, very likely because of the strong methodological variability between studies. Overall, hippocampal subfield analysis has proven to be a promising technique in the study of AD. However, harmonization of segmentation protocols and studies on larger samples are needed to enable accurate comparisons between studies and to confirm the clinical utility of these techniques.
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Transient global ischemia selectively damages neurons in specific brain areas. A reproducible pattern of selective vulnerability is observed in the dorsal hippocampus of rodents where ischemic damage typically affects neurons in the CA1 area while sparing neurons in CA3 and granule cells. The "neuronal factors" underlying the differential vulnerability of CA1 versus CA3 have been of great interest. ⋯ A survey of selective vulnerability in the human hippocampus in relation to genomic studies in ischemia-hypoxia is presented, and neurodegeneration genes with high expression in CA1 are highlighted (e.g. WFS1). It is concluded that neuronal factors dominate the selective vulnerability of CA1 but that vascular factors also deserve more systematic studies.
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Despite the ongoing fundamental controversy about the physiological function of sleep, there is general consensus that sleep benefits neuronal plasticity, which ultimately supports brain function and cognition. In agreement with this are numerous studies showing that sleep deprivation (SD) results in learning and memory impairments. ⋯ When restricted sleep becomes a chronic condition, it causes a reduction of hippocampal cell proliferation and neurogenesis, which may eventually lead to a reduction in hippocampal volume. Ultimately, by impairing hippocampal plasticity and function, chronically restricted and disrupted sleep contributes to cognitive disorders and psychiatric diseases.
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Epileptogenesis refers to the development and extension of tissue capable of generating spontaneous seizures, resulting in the development of an epileptic condition and/or progression of epilepsy after the condition is established. The hippocampus is the seizure-initiating zone in many epilepsy patients as well as in animal models of epilepsy. During epileptogenesis, the hippocampus undergoes structural changes, including mossy fiber sprouting; alterations in dendritic branching, spine density, and shape; and neurogenesis. ⋯ Here we review conventional and more advanced MRI methods for detecting hippocampal tissue changes related to epileptogenesis. In addition, we summarize how diffusion tensor imaging can reveal cellular damage and plasticity, even at the level of hippocampal subfields. Finally, we discuss challenges and future directions for using novel MRI techniques in the search of biomarkers associated with epileptogenesis after brain injury.
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Hippocampal circuits are among the best described networks in the mammalian brain, particularly with regard to the alterations that arise during normal aging. Decades of research indicate multiple points of vulnerability in aging neural circuits, and it has been proposed that each of these changes make a contribution to observed age-related cognitive deficits. Another view has been relatively overlooked - namely that some of these changes arise in adaptive response to protect network function in aged animals. ⋯ Using the hippocampus as a model neural circuit we discuss how, in normally aged animals, some age-related changes may arise through processes of neural plasticity that serve to enhance network function rather than to hinder it. Conceptually disentangling the initial age-related vulnerabilities from changes that result in adaptive response will be a major challenge for the future research on brain aging. We suggest that a reformulation of how normal aging could be understood from an adaptive perspective will lead to a deeper understanding of the secrets behind successful brain aging and our recent cultural successes in facilitating these processes.