The structures associated with learning and memory have been widely studied for over 100 years. The idea of the famous neuropsychologist K.S. Lashley, that learning and memory are stored diffusely in the brain, dominated neuroscience in the early half of Twentieth Century. Since Scoville reported in 1957 a persistent impairment of recent memory caused by bilateral medial temporal lobe resection in a patient, the concept that different brain structures play different roles in learning and memory has been established, but the structures were thought to work separately. The connections and functional influences between hippocampus and prefrontal cortex, thalamus and hippocampus, prefrontal cortex and thalamus, amygdala and hippocampus, basal nucleus of Meynert and medial temporal lobe system, and amygdala and thalamus were successively reported. The marginal division (MrD) is a pan-shaped structure consisting of spindle-shaped neurons at the caudal margin of the neostriatum in the mammalian brain. The MrD has been shown to contribute to associative learning and declarative memory by behavioral study in rats and by functional magnetic resonance image study in humans. Lesions in the MrD influenced the learning and memory function of the basal nucleus of Meynert and attenuated hippocampal long-term potentiation. The MrD is likely, based on its position, advanced development in higher mammalian brains, abundant and swift blood supply, and complex connections, to be an important subcortical memory center in the brain. The above-mentioned studies demonstrated that memory-related centers could influence each other and play different roles. Therefore, we propose that there are very possibly hierachical memory centers in the brain.
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http://dx.doi.org/10.1002/jnr.10545 | DOI Listing |
Brain Struct Funct
December 2024
School of Medicine, Department of Neuropharmacology, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
This editorial celebrates the 80th birthday of Distinguished Professor Laszlo Zaborszky, co-founder of Brain Structure and Function, and reflects on his monumental contributions to neuroscience, particularly his pioneering work on the cholinergic basal forebrain. Professor Zaborszky's research has reshaped our understanding of this brain region's organization and function, uncovering its critical role in cognitive processes such as learning, memory, and attention. His findings have challenged longstanding assumptions, demonstrating that the cholinergic projections to the cortex are highly organized, with implications for neurodegenerative diseases like Alzheimer's.
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December 2024
Department of Neurology, Union Hospital of Jilin University, Changchun, 130000, China.
Alzheimer's disease (AD) is a severe neurodegenerative disease, and the most common type of dementia, with symptoms of progressive cognitive dysfunction and behavioral impairment. Studying the pathogenesis of AD and exploring new targets for the prevention and treatment of AD is a very worthwhile challenge. Accumulating evidence has highlighted the effects of fatty acid metabolism on AD.
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December 2024
School of Basic Medicine, Dali University, Dali, 671003, Yunnan, China.
Resolvin D1 (RvD1) is an endogenous anti-inflammatory mediator that modulates the inflammatory response and promotes inflammation resolution. RvD1 has demonstrated neuroprotective effects in various central nervous system contexts; however, its role in the pathophysiological processes of intracerebral hemorrhage (ICH) and the potential protective mechanisms when combined with exercise rehabilitation remain unclear. A mouse model of ICH was established using collagenase, and treatment with RvD1 combined with three weeks of exercise rehabilitation significantly improved neurological deficits, muscle strength, learning, and memory in ICH mice while reducing anxiety-like behavior.
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December 2024
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.
Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Short-Term Memory (BiLSTM) and metaheuristic optimization for spatial feature extraction in hand gesture and motion recognition.
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December 2024
Institute of Psychology, University of Bern, Bern, Switzerland.
Aging is typically associated with declines in episodic memory, executive functions, and sleep quality. Therefore, the sleep-dependent stabilization of episodic memory is suspected to decline during aging. This might reflect in accelerated long-term forgetting, which refers to normal learning and retention over hours, yet an abnormal retention over nights and days.
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