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Brain Structure and Function

, Volume 223, Issue 3, pp 1473–1485 | Cite as

Dual roles of the hippocampus and intraparietal sulcus in network integration and segregation support scene recognition

  • Xin Hao
  • Xu Wang
  • Yiying Song
  • Xiangzhen Kong
  • Jia Liu
Original Article

Abstract

Effectively recognizing surroundings is a critical ability in human navigation. Previous neuroimaging studies have depicted distributed brain regions underpinning spatial navigation, but little is known about how these regions are formed into the navigation network (NN) supporting scene recognition. In this study, we addressed this issue by using a voxel-based global functional connectivity method to characterize the integration (i.e., within-network connectivity, WNC) of the NN and its segregation (i.e., between-network connectivity, BNC) from non-NN networks. We found that the majority of the voxels in the NN showed a stronger WNC than BNC, indicating the encapsulation of the NN. Importantly, individuals with stronger WNC and weaker BNC in the left hippocampus (Hipp) and intraparietal sulcus (IPS) performed better in scene recognition, suggesting that the left Hipp and IPS were involved in scene recognition by both integrating regions in the NN and separating the NN from non-NN networks. Further analyses showed that the integration of these two regions in the NN serves different functions, that is, while the WNC of the left Hipp was only related to scene recognition, the WNC of the left IPS was also related to the general executive control function of attention. In short, our study demonstrated the dual roles of the Hipp and IPS in integration and segregation of the NN to support scene recognition, suggesting that scene recognition involves not only regions specialized in spatial navigation, but also those with general functions.

Keywords

Between-network connectivity Hippocampus Intraparietal sulcus Scene recognition Within-network connectivity 

Abbreviations

BNC

Between-network connectivity

cIPL

Caudal inferior parietal lobule

EPI

Echo-planar imaging

FC

Functional connectivity

FDR

False discovery rate

GBC

Global brain connectivity

GLM

General linear model

Hipp

Hippocampus

IFG

Inferior frontal gyrus

IPS

Intraparietal sulcus

MFG

Middle frontal gyrus

MNI

Montreal Neurological Institute

MPRAGE

Magnetization-prepared rapid gradient-echo

NN

Navigation network

OPA

Occipital place area

PPA

Parahippocampal place area

RAPM

Raven’s advanced progressive matrices

ROIs

Regions of interest

RSC

Retrosplenial complex

rs-fMRI

Resting-state fMRI

RTs

Reaction times

SRA

Scene-specific recognition ability

TOS

Transverse occipital sulcus

WNC

Within-network connectivity

Notes

Acknowledgements

This study was funded by the National Natural Science Foundation of China (31230031), the National Basic Research Program of China (2014CB846101), the National Natural Science Foundation of China (31221003 and 31471067 and 31470055), the National Social Science Foundation of China (13&ZD073, 14ZDB160 and 15ZDB139), and Changjiang Scholars Programme of China.

Compliance with ethical standards

Conflict of interest

The authors declare no competing financial interests.

Supplementary material

429_2017_1564_MOESM1_ESM.docx (746 kb)
Supplementary material 1 (DOCX 746 kb)

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© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
  2. 2.Beijing Key Laboratory of Applied Experimental Psychology, School of PsychologyBeijing Normal UniversityBeijingChina

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