A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function
Navigation can be broadly defined as the process of moving from an origin to a destination through path-planning. Previous research has shown that navigation is mainly related to the function of the medial temporal lobe (MTL), including the hippocampus (HPC), and medial prefrontal cortex (mPFC), whi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Systems Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnsys.2022.972985/full |
| _version_ | 1798027590547537920 |
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| author | Maryam Moghadam Farzad Towhidkhah Shahriar Gharibzadeh |
| author_facet | Maryam Moghadam Farzad Towhidkhah Shahriar Gharibzadeh |
| author_sort | Maryam Moghadam |
| collection | DOAJ |
| description | Navigation can be broadly defined as the process of moving from an origin to a destination through path-planning. Previous research has shown that navigation is mainly related to the function of the medial temporal lobe (MTL), including the hippocampus (HPC), and medial prefrontal cortex (mPFC), which controls retrieval of the spatial memories from this region. In this study, we suggested a cognitive and computational model of human navigation with a focus on mutual interactions between the hippocampus (HPC) and the mPFC using the concept of synchrony. The Van-der-pol oscillator was used to model the synchronous process of receiving and processing “what stream” information. A fuzzy lookup table system was applied for modeling the controlling function of the mPFC in retrieving spatial information from the HPC. The effect of attention level was also included and simulated. The performance of the model was evaluated using information reported in previous experimental research. Due to the inherent stability of the proposed fuzzy-oscillatory model, it is less sensitive to the exact values of the initial conditions, and therefore, it is shown that it is consistent with the actual human performance in real environments. Analyzing the proposed cognitive and fuzzy-oscillatory computational model demonstrates that the model is able to reproduce certain cognitive and functional disturbances in navigation in related diseases such as Alzheimer’s disease (AD). We have shown that an increase in the bifurcation parameter of the Van-der-pol equation represents an increase in the low-frequency spectral power density and a decrease in the high-frequency spectral power as occurs in AD due to an increase in the amyloid plaques in the brain. These changes in the frequency characteristics of neuronal activity, in turn, lead to impaired recall and retrieval of landmarks information and learned routes upon encountering them. As a result, and because of the wrong frequency code being transmitted, the relevant set of rules in the mPFC is not activated, or another unrelated set will be activated, which leads to forgetfulness and erroneous decisions in routing and eventually losing the route in Alzheimer’s patients. |
| first_indexed | 2024-04-11T18:53:57Z |
| format | Article |
| id | doaj.art-471b869ad5f54e1cbff5dacaab406c3a |
| institution | Directory Open Access Journal |
| issn | 1662-5137 |
| language | English |
| last_indexed | 2024-04-11T18:53:57Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Systems Neuroscience |
| spelling | doaj.art-471b869ad5f54e1cbff5dacaab406c3a2022-12-22T04:08:14ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372022-10-011610.3389/fnsys.2022.972985972985A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation functionMaryam Moghadam0Farzad Towhidkhah1Shahriar Gharibzadeh2Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranCognitive Rehabilitation Clinic, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, IranNavigation can be broadly defined as the process of moving from an origin to a destination through path-planning. Previous research has shown that navigation is mainly related to the function of the medial temporal lobe (MTL), including the hippocampus (HPC), and medial prefrontal cortex (mPFC), which controls retrieval of the spatial memories from this region. In this study, we suggested a cognitive and computational model of human navigation with a focus on mutual interactions between the hippocampus (HPC) and the mPFC using the concept of synchrony. The Van-der-pol oscillator was used to model the synchronous process of receiving and processing “what stream” information. A fuzzy lookup table system was applied for modeling the controlling function of the mPFC in retrieving spatial information from the HPC. The effect of attention level was also included and simulated. The performance of the model was evaluated using information reported in previous experimental research. Due to the inherent stability of the proposed fuzzy-oscillatory model, it is less sensitive to the exact values of the initial conditions, and therefore, it is shown that it is consistent with the actual human performance in real environments. Analyzing the proposed cognitive and fuzzy-oscillatory computational model demonstrates that the model is able to reproduce certain cognitive and functional disturbances in navigation in related diseases such as Alzheimer’s disease (AD). We have shown that an increase in the bifurcation parameter of the Van-der-pol equation represents an increase in the low-frequency spectral power density and a decrease in the high-frequency spectral power as occurs in AD due to an increase in the amyloid plaques in the brain. These changes in the frequency characteristics of neuronal activity, in turn, lead to impaired recall and retrieval of landmarks information and learned routes upon encountering them. As a result, and because of the wrong frequency code being transmitted, the relevant set of rules in the mPFC is not activated, or another unrelated set will be activated, which leads to forgetfulness and erroneous decisions in routing and eventually losing the route in Alzheimer’s patients.https://www.frontiersin.org/articles/10.3389/fnsys.2022.972985/fullnavigationhippocampusmedial prefrontal cortexinteractionVan-der-pol oscillatorrule-based fuzzy system |
| spellingShingle | Maryam Moghadam Farzad Towhidkhah Shahriar Gharibzadeh A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function Frontiers in Systems Neuroscience navigation hippocampus medial prefrontal cortex interaction Van-der-pol oscillator rule-based fuzzy system |
| title | A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function |
| title_full | A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function |
| title_fullStr | A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function |
| title_full_unstemmed | A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function |
| title_short | A fuzzy-oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function |
| title_sort | fuzzy oscillatory model of medial prefrontal cortex control function in spatial memory retrieval in human navigation function |
| topic | navigation hippocampus medial prefrontal cortex interaction Van-der-pol oscillator rule-based fuzzy system |
| url | https://www.frontiersin.org/articles/10.3389/fnsys.2022.972985/full |
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