Research Progress of Space Navigation Capability Based on Image Technology

Huihui Wang; Linjing Zhang; Liyi Chi; Yanhai Zhang; Linli Chang; Wanqi Bai

doi:doi:10.11648/j.cmr.20221106.15

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Research Progress of Space Navigation Capability Based on Image Technology

Huihui Wang, Linjing Zhang, Liyi Chi, Yanhai Zhang, Linli Chang, Wanqi Bai

Published in Clinical Medicine Research (Volume 11, Issue 6)

Received: 27 November 2022 Accepted: 13 December 2022 Published: 23 December 2022

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Abstract

Spatial navigation ability refers to the complex process of the human body building cognitive maps in the brain according to the external environment. It is crucial to study spatial navigation ability to understand human cognitive functions. With the advent of advanced neuroimaging technologies, such as positron emission tomography and magnetic resonance imaging, more and more evidence indicates that differences in the navigation ability of empty individuals are related to differences in brain structure and function. Functional magnetic resonance imaging (fMRI) and weighted magnetic resonance imaging (DTI) are two common methods of functional imaging and structural imaging. fMRI mimics animal experiments by measuring changes in signals related to blood oxygen levels in different regions of the brain, solving a major problem in human studies. On the other hand, structural connections are stable for short periods and are more suitable for studying differences in a single spatial navigation network without uniform training. Structural networks can be evaluated by DTI. DTI is highly sensitive to the Brownian motion of water molecules in voxels, especially in white matter. DTI results suggested that etiology is associated with disrupted fiber connections and decreased FA values, both of which occur in the prefrontal and prefrontal lobe-motor pathways. As far as we know, there is no systematic review of neuroimaging technologies related to spatial navigation functions. In order to fill this gap, in this review, we combine the structure and function of brain imaging and multimodal imaging technology and summarize the central brain regions and brain imaging features related to spatial navigation function. It provides a new method for selecting and dialing the spatial navigation ability of specific populations and a new idea for diagnosing clinical spatial navigation dysfunction.

Published in	Clinical Medicine Research (Volume 11, Issue 6)
DOI	10.11648/j.cmr.20221106.15
Page(s)	178-182
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Spatial Navigation, sMRI, DTI, fMRI, Multimodal Brain Graph Network

References

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APA Style

Huihui Wang, Linjing Zhang, Liyi Chi, Yanhai Zhang, Linli Chang, et al. (2022). Research Progress of Space Navigation Capability Based on Image Technology. Clinical Medicine Research, 11(6), 178-182. https://doi.org/10.11648/j.cmr.20221106.15

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ACS Style

Huihui Wang; Linjing Zhang; Liyi Chi; Yanhai Zhang; Linli Chang, et al. Research Progress of Space Navigation Capability Based on Image Technology. Clin. Med. Res. 2022, 11(6), 178-182. doi: 10.11648/j.cmr.20221106.15

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AMA Style

Huihui Wang, Linjing Zhang, Liyi Chi, Yanhai Zhang, Linli Chang, et al. Research Progress of Space Navigation Capability Based on Image Technology. Clin Med Res. 2022;11(6):178-182. doi: 10.11648/j.cmr.20221106.15

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@article{10.11648/j.cmr.20221106.15,
  author = {Huihui Wang and Linjing Zhang and Liyi Chi and Yanhai Zhang and Linli Chang and Wanqi Bai},
  title = {Research Progress of Space Navigation Capability Based on Image Technology},
  journal = {Clinical Medicine Research},
  volume = {11},
  number = {6},
  pages = {178-182},
  doi = {10.11648/j.cmr.20221106.15},
  url = {https://doi.org/10.11648/j.cmr.20221106.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cmr.20221106.15},
  abstract = {Spatial navigation ability refers to the complex process of the human body building cognitive maps in the brain according to the external environment. It is crucial to study spatial navigation ability to understand human cognitive functions. With the advent of advanced neuroimaging technologies, such as positron emission tomography and magnetic resonance imaging, more and more evidence indicates that differences in the navigation ability of empty individuals are related to differences in brain structure and function. Functional magnetic resonance imaging (fMRI) and weighted magnetic resonance imaging (DTI) are two common methods of functional imaging and structural imaging. fMRI mimics animal experiments by measuring changes in signals related to blood oxygen levels in different regions of the brain, solving a major problem in human studies. On the other hand, structural connections are stable for short periods and are more suitable for studying differences in a single spatial navigation network without uniform training. Structural networks can be evaluated by DTI. DTI is highly sensitive to the Brownian motion of water molecules in voxels, especially in white matter. DTI results suggested that etiology is associated with disrupted fiber connections and decreased FA values, both of which occur in the prefrontal and prefrontal lobe-motor pathways. As far as we know, there is no systematic review of neuroimaging technologies related to spatial navigation functions. In order to fill this gap, in this review, we combine the structure and function of brain imaging and multimodal imaging technology and summarize the central brain regions and brain imaging features related to spatial navigation function. It provides a new method for selecting and dialing the spatial navigation ability of specific populations and a new idea for diagnosing clinical spatial navigation dysfunction.},
 year = {2022}
}

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TY  - JOUR
T1  - Research Progress of Space Navigation Capability Based on Image Technology
AU  - Huihui Wang
AU  - Linjing Zhang
AU  - Liyi Chi
AU  - Yanhai Zhang
AU  - Linli Chang
AU  - Wanqi Bai
Y1  - 2022/12/23
PY  - 2022
N1  - https://doi.org/10.11648/j.cmr.20221106.15
DO  - 10.11648/j.cmr.20221106.15
T2  - Clinical Medicine Research
JF  - Clinical Medicine Research
JO  - Clinical Medicine Research
SP  - 178
EP  - 182
PB  - Science Publishing Group
SN  - 2326-9057
UR  - https://doi.org/10.11648/j.cmr.20221106.15
AB  - Spatial navigation ability refers to the complex process of the human body building cognitive maps in the brain according to the external environment. It is crucial to study spatial navigation ability to understand human cognitive functions. With the advent of advanced neuroimaging technologies, such as positron emission tomography and magnetic resonance imaging, more and more evidence indicates that differences in the navigation ability of empty individuals are related to differences in brain structure and function. Functional magnetic resonance imaging (fMRI) and weighted magnetic resonance imaging (DTI) are two common methods of functional imaging and structural imaging. fMRI mimics animal experiments by measuring changes in signals related to blood oxygen levels in different regions of the brain, solving a major problem in human studies. On the other hand, structural connections are stable for short periods and are more suitable for studying differences in a single spatial navigation network without uniform training. Structural networks can be evaluated by DTI. DTI is highly sensitive to the Brownian motion of water molecules in voxels, especially in white matter. DTI results suggested that etiology is associated with disrupted fiber connections and decreased FA values, both of which occur in the prefrontal and prefrontal lobe-motor pathways. As far as we know, there is no systematic review of neuroimaging technologies related to spatial navigation functions. In order to fill this gap, in this review, we combine the structure and function of brain imaging and multimodal imaging technology and summarize the central brain regions and brain imaging features related to spatial navigation function. It provides a new method for selecting and dialing the spatial navigation ability of specific populations and a new idea for diagnosing clinical spatial navigation dysfunction.
VL  - 11
IS  - 6
ER  -

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Author Information

Huihui Wang

Department of Neurology, Chinese People's Liberation Army 986th Hospital, Fourth Military Medical University, Xi'an, China
Linjing Zhang

Department of Scientific Research, Chinese People's Liberation Army 986th Hospital, Fourth Military Medical University, Xi'an, China
Liyi Chi

Department of Neurology, Chinese People's Liberation Army 986th Hospital, Fourth Military Medical University, Xi'an, China
Yanhai Zhang

The First Outpatient Department, Chinese People's Liberation Army 986th Hospital, Fourth Military Medical University, Xi'an, China
Linli Chang

Department of Neurology, Chinese People's Liberation Army 986th Hospital, Fourth Military Medical University, Xi'an, China
Wanqi Bai

Department of Neurology, Chinese People's Liberation Army 986th Hospital, Fourth Military Medical University, Xi'an, China

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APA Style

Huihui Wang, Linjing Zhang, Liyi Chi, Yanhai Zhang, Linli Chang, et al. (2022). Research Progress of Space Navigation Capability Based on Image Technology. Clinical Medicine Research, 11(6), 178-182. https://doi.org/10.11648/j.cmr.20221106.15

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ACS Style

Huihui Wang; Linjing Zhang; Liyi Chi; Yanhai Zhang; Linli Chang, et al. Research Progress of Space Navigation Capability Based on Image Technology. Clin. Med. Res. 2022, 11(6), 178-182. doi: 10.11648/j.cmr.20221106.15

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AMA Style

Huihui Wang, Linjing Zhang, Liyi Chi, Yanhai Zhang, Linli Chang, et al. Research Progress of Space Navigation Capability Based on Image Technology. Clin Med Res. 2022;11(6):178-182. doi: 10.11648/j.cmr.20221106.15

Copy | Download

@article{10.11648/j.cmr.20221106.15,
  author = {Huihui Wang and Linjing Zhang and Liyi Chi and Yanhai Zhang and Linli Chang and Wanqi Bai},
  title = {Research Progress of Space Navigation Capability Based on Image Technology},
  journal = {Clinical Medicine Research},
  volume = {11},
  number = {6},
  pages = {178-182},
  doi = {10.11648/j.cmr.20221106.15},
  url = {https://doi.org/10.11648/j.cmr.20221106.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cmr.20221106.15},
  abstract = {Spatial navigation ability refers to the complex process of the human body building cognitive maps in the brain according to the external environment. It is crucial to study spatial navigation ability to understand human cognitive functions. With the advent of advanced neuroimaging technologies, such as positron emission tomography and magnetic resonance imaging, more and more evidence indicates that differences in the navigation ability of empty individuals are related to differences in brain structure and function. Functional magnetic resonance imaging (fMRI) and weighted magnetic resonance imaging (DTI) are two common methods of functional imaging and structural imaging. fMRI mimics animal experiments by measuring changes in signals related to blood oxygen levels in different regions of the brain, solving a major problem in human studies. On the other hand, structural connections are stable for short periods and are more suitable for studying differences in a single spatial navigation network without uniform training. Structural networks can be evaluated by DTI. DTI is highly sensitive to the Brownian motion of water molecules in voxels, especially in white matter. DTI results suggested that etiology is associated with disrupted fiber connections and decreased FA values, both of which occur in the prefrontal and prefrontal lobe-motor pathways. As far as we know, there is no systematic review of neuroimaging technologies related to spatial navigation functions. In order to fill this gap, in this review, we combine the structure and function of brain imaging and multimodal imaging technology and summarize the central brain regions and brain imaging features related to spatial navigation function. It provides a new method for selecting and dialing the spatial navigation ability of specific populations and a new idea for diagnosing clinical spatial navigation dysfunction.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Research Progress of Space Navigation Capability Based on Image Technology
AU  - Huihui Wang
AU  - Linjing Zhang
AU  - Liyi Chi
AU  - Yanhai Zhang
AU  - Linli Chang
AU  - Wanqi Bai
Y1  - 2022/12/23
PY  - 2022
N1  - https://doi.org/10.11648/j.cmr.20221106.15
DO  - 10.11648/j.cmr.20221106.15
T2  - Clinical Medicine Research
JF  - Clinical Medicine Research
JO  - Clinical Medicine Research
SP  - 178
EP  - 182
PB  - Science Publishing Group
SN  - 2326-9057
UR  - https://doi.org/10.11648/j.cmr.20221106.15
AB  - Spatial navigation ability refers to the complex process of the human body building cognitive maps in the brain according to the external environment. It is crucial to study spatial navigation ability to understand human cognitive functions. With the advent of advanced neuroimaging technologies, such as positron emission tomography and magnetic resonance imaging, more and more evidence indicates that differences in the navigation ability of empty individuals are related to differences in brain structure and function. Functional magnetic resonance imaging (fMRI) and weighted magnetic resonance imaging (DTI) are two common methods of functional imaging and structural imaging. fMRI mimics animal experiments by measuring changes in signals related to blood oxygen levels in different regions of the brain, solving a major problem in human studies. On the other hand, structural connections are stable for short periods and are more suitable for studying differences in a single spatial navigation network without uniform training. Structural networks can be evaluated by DTI. DTI is highly sensitive to the Brownian motion of water molecules in voxels, especially in white matter. DTI results suggested that etiology is associated with disrupted fiber connections and decreased FA values, both of which occur in the prefrontal and prefrontal lobe-motor pathways. As far as we know, there is no systematic review of neuroimaging technologies related to spatial navigation functions. In order to fill this gap, in this review, we combine the structure and function of brain imaging and multimodal imaging technology and summarize the central brain regions and brain imaging features related to spatial navigation function. It provides a new method for selecting and dialing the spatial navigation ability of specific populations and a new idea for diagnosing clinical spatial navigation dysfunction.
VL  - 11
IS  - 6
ER  -

Copy | Download