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Blum Moyse L, Berry H. A coupled neural field model for the standard consolidation theory. J Theor Biol 2024; 588:111818. [PMID: 38621583 DOI: 10.1016/j.jtbi.2024.111818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/17/2024]
Abstract
The standard consolidation theory states that short-term memories located in the hippocampus enable the consolidation of long-term memories in the neocortex. In other words, the neocortex slowly learns long-term memories with a transient support of the hippocampus that quickly learns unstable memories. However, it is not clear yet what could be the neurobiological mechanisms underlying these differences in learning rates and memory time-scales. Here, we propose a novel modeling approach of the standard consolidation theory, that focuses on its potential neurobiological mechanisms. In addition to synaptic plasticity and spike frequency adaptation, our model incorporates adult neurogenesis in the dentate gyrus as well as the difference in size between the neocortex and the hippocampus, that we associate with distance-dependent synaptic plasticity. We also take into account the interconnected spatial structure of the involved brain areas, by incorporating the above neurobiological mechanisms in a coupled neural field framework, where each area is represented by a separate neural field with intra- and inter-area connections. To our knowledge, this is the first attempt to apply neural fields to this process. Using numerical simulations and mathematical analysis, we explore the short-term and long-term dynamics of the model upon alternance of phases of hippocampal replay and retrieval cue of an external input. This external input is encodable as a memory pattern in the form of a multiple bump attractor pattern in the individual neural fields. In the model, hippocampal memory patterns become encoded first, before neocortical ones, because of the smaller distances between the bumps of the hippocampal memory patterns. As a result, retrieval of the input pattern in the neocortex at short time-scales necessitates the additional input delivered by the memory pattern of the hippocampus. Neocortical memory patterns progressively consolidate at longer times, up to a point where their retrieval does not need the support of the hippocampus anymore. At longer times, perturbation of the hippocampal neural fields by neurogenesis erases the hippocampus pattern, leading to a final state where the memory pattern is exclusively evoked in the neocortex. Therefore, the dynamics of our model successfully reproduces the main features of the standard consolidation theory. This suggests that neurogenesis in the hippocampus and distance-dependent synaptic plasticity coupled to synaptic depression and spike frequency adaptation, are indeed critical neurobiological processes in memory consolidation.
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Affiliation(s)
- Lisa Blum Moyse
- LIRIS, CNRS UMR 5205, Villeurbanne, F-69621, France; AIstroSight, Inria, Hospices Civils de Lyon, Universite Claude Bernard Lyon 1, Villeurbanne, F-69603, France.
| | - Hugues Berry
- AIstroSight, Inria, Hospices Civils de Lyon, Universite Claude Bernard Lyon 1, Villeurbanne, F-69603, France.
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Blackman J, Morrison HD, Gabb V, Biswas B, Li H, Turner N, Jolly A, Trender W, Hampshire A, Whone A, Coulthard E. Remote evaluation of sleep to enhance understanding of early dementia due to Alzheimer's Disease (RESTED-AD): an observational cohort study protocol. BMC Geriatr 2023; 23:590. [PMID: 37742001 PMCID: PMC10518099 DOI: 10.1186/s12877-023-04288-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 09/06/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND Sleep and circadian rhythm disorders are well recognised in both AD (Alzheimer's Disease) dementia and MCI-AD (Mild Cognitive Impairment due to Alzheimer's Disease). Such abnormalities include insomnia, excessive daytime sleepiness, decreased sleep efficiency, increased sleep fragmentation and sundowning. Enhancing understanding of sleep abnormalities may unveil targets for intervention in sleep, a promising approach given hypotheses that sleep disorders may exacerbate AD pathological progression and represent a contributory factor toward impaired cognitive performance and worse quality of life. This may also permit early diagnosis of AD pathology, widely acknowledged as a pre-requisite for future disease-modifying therapies. This study aims to bridge the divide between in-laboratory polysomnographic studies which allow for rich characterisation of sleep but in an unnatural setting, and naturalistic studies typically approximating sleep through use of non-EEG wearable devices. It is also designed to record sleep patterns over a 2 month duration sufficient to capture both infradian rhythm and compensatory responses following suboptimal sleep. Finally, it harnesses an extensively phenotyped population including with AD blood biomarkers. Its principal aims are to improve characterisation of sleep and biological rhythms in individuals with AD, particularly focusing on micro-architectural measures of sleep, compensatory responses to suboptimal sleep and the relationship between sleep parameters, biological rhythms and cognitive performance. METHODS/DESIGN This observational cohort study has two arms (AD-MCI / mild AD dementia and aged-matched healthy adults). Each participant undergoes a baseline visit for collection of demographic, physiological and neuropsychological information utilising validated questionnaires. The main study period involves 7 nights of home-based multi-channel EEG sleep recording nested within an 8-week study period involving continuous wrist-worn actigraphy, sleep diaries and regular brief cognitive tests. Measurement of sleep parameters will be at home thereby obtaining a real-world, naturalistic dataset. Cognitive testing will be repeated at 6 months to stratify participants by longitudinal disease progression. DISCUSSION This study will generate new insights particularly in micro-architectural measures of sleep, circadian patterns and compensatory sleep responses in a population with and without AD neurodegenerative change. It aims to enhance standards of remotely based sleep research through use of a well-phenotyped population and advanced sleep measurement technology.
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Affiliation(s)
- Jonathan Blackman
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Hamish Duncan Morrison
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Victoria Gabb
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Bijetri Biswas
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
| | - Haoxuan Li
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Nicholas Turner
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
| | - Amy Jolly
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - William Trender
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - Adam Hampshire
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - Alan Whone
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Elizabeth Coulthard
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
- Bristol Medical School, Learning & Research Building, Southmead Hospital, University of Bristol, Bristol, BS10 5NB UK
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Sridhar S, Khamaj A, Asthana MK. Cognitive neuroscience perspective on memory: overview and summary. Front Hum Neurosci 2023; 17:1217093. [PMID: 37565054 PMCID: PMC10410470 DOI: 10.3389/fnhum.2023.1217093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/10/2023] [Indexed: 08/12/2023] Open
Abstract
This paper explores memory from a cognitive neuroscience perspective and examines associated neural mechanisms. It examines the different types of memory: working, declarative, and non-declarative, and the brain regions involved in each type. The paper highlights the role of different brain regions, such as the prefrontal cortex in working memory and the hippocampus in declarative memory. The paper also examines the mechanisms that underlie the formation and consolidation of memory, including the importance of sleep in the consolidation of memory and the role of the hippocampus in linking new memories to existing cognitive schemata. The paper highlights two types of memory consolidation processes: cellular consolidation and system consolidation. Cellular consolidation is the process of stabilizing information by strengthening synaptic connections. System consolidation models suggest that memories are initially stored in the hippocampus and are gradually consolidated into the neocortex over time. The consolidation process involves a hippocampal-neocortical binding process incorporating newly acquired information into existing cognitive schemata. The paper highlights the role of the medial temporal lobe and its involvement in autobiographical memory. Further, the paper discusses the relationship between episodic and semantic memory and the role of the hippocampus. Finally, the paper underscores the need for further research into the neurobiological mechanisms underlying non-declarative memory, particularly conditioning. Overall, the paper provides a comprehensive overview from a cognitive neuroscience perspective of the different processes involved in memory consolidation of different types of memory.
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Affiliation(s)
- Sruthi Sridhar
- Department of Psychology, Mount Allison University, Sackville, NB, Canada
| | - Abdulrahman Khamaj
- Department of Industrial Engineering, College of Engineering, Jazan University, Jazan, Saudi Arabia
| | - Manish Kumar Asthana
- Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Roorkee, India
- Department of Design, Indian Institute of Technology Roorkee, Roorkee, India
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