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Task-related connectivity of decision points during spatial navigation in a schematic map

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Abstract

Successful navigation is largely dependent on the ability to make correct decisions at navigational decision points. However, the interaction between the brain regions associated with the navigational decision point in a schematic map is unclear. In this study, we adopted a 2D subway paradigm to study the neural basis underlying decision points. Twenty-eight subjects performed a spatial navigation task using a subway map during fMRI scanning. We adopted a voxel-wise general linear model (GLM) approach and found four brain regions, the left hippocampus (HIP), left parahippocampal gyrus (PHG), left ventromedial prefrontal cortex (vmPFC), and right retrosplenial cortex (RSC), activated at a navigational decision point in a schematic map. Using a psychophysiological interactions (PPI) method, we found that (1) both the left vmPFC and right HIP interacted cooperatively with the right RSC, and (2) the left HIP and the left vmPFC interacted cooperatively at the decision point. These findings may be helpful for revealing the neural mechanisms underlying decision points in a schematic map during spatial navigation.

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Data and code availability statement

The datasets generated and analyzed in the current study are available from the corresponding author upon reasonable request.

Abbreviations

BA:

Brodmann’s area

HIP:

Hippocampus

mPFC:

Medial prefrontal cortex

OPA:

Occipital place area

PCUN:

Precuneus

PFC:

Prefrontal cortex

PHG:

Parahippocampal gyrus

PPA:

Parahippocampal place area

RSC:

Retrosplenial cortex

vmPFC:

Ventromedial prefrontal cortex

DP:

Decision points

nonDP:

Non-decision points

fMRI:

Functional magnetic resonance imaging

GLM:

General linear model

GRF:

Gaussian random field

HRF:

Hemodynamic response function

PPI:

Psychophysiological interactions

ROI:

Region of interest

TFCE:

Threshold-free cluster enhancement

References

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Acknowledgements

The authors thank Dr. Jan Balaguer and Prof. Christopher Summerfield for providing the code of the subway paradigm. The authors appreciate Drs. Rhoda E. and Edmund F. Perozzi for editing the manuscript. The multiband accelerated EPI pulse sequence was obtained from the University of Minnesota Center for Magnetic Resonance Research (CMRR) through a C2P agreement. We also appreciate the University of Minnesota CMRR for the development of the sequence.

Funding

This work was supported by the National Natural Science Foundation of China (Grant numbers: 82171914 and 81871338) and the National Key R&D Program of China (Grant numbers: 2018YFC1705006).

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Authors and Affiliations

Authors

Contributions

Conceptualization: QQ, YW and RH; methodology: QQ, YW, SZ and SW; software: SW and SZ; investigation: YW, QQ, SW and SZ; formal analysis: QQ and YW; writing—original draft preparation: QQ and YW; writing—review and editing: QQ, YW, SZ, SL, QH and RH; visualization: QQ; funding acquisition: RH; resources: RH; supervision: RH.

Corresponding author

Correspondence to Ruiwang Huang.

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Conflict of interest

The authors declare that they have no competing financial interests.

Ethical approval

The study protocol was approved by the Research Review Board of South China Normal University. Written informed consent was obtained from each subject before the study.

Informed consent

Informed consent was obtained from all individual subjects included in the study.

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Qi, Q., Weng, Y., Zheng, S. et al. Task-related connectivity of decision points during spatial navigation in a schematic map. Brain Struct Funct 227, 1697–1710 (2022). https://doi.org/10.1007/s00429-022-02466-1

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  • DOI: https://doi.org/10.1007/s00429-022-02466-1

Keywords

Navigation