Dual roles of the hippocampus and intraparietal sulcus in network integration and segregation support scene recognition
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.
KeywordsBetween-network connectivity Hippocampus Intraparietal sulcus Scene recognition Within-network connectivity
Caudal inferior parietal lobule
False discovery rate
Global brain connectivity
General linear model
Inferior frontal gyrus
Middle frontal gyrus
Montreal Neurological Institute
Magnetization-prepared rapid gradient-echo
Occipital place area
Parahippocampal place area
Raven’s advanced progressive matrices
Regions of interest
Scene-specific recognition ability
Transverse occipital sulcus
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.
- Lauritzen T, D’Esposito M Functional networks underlying top-down visual spatial attention in the human brain. In: Soc. Neurosci. Abstr, 2007Google Scholar
- Raven JC, Court JH (1998) Raven’s progressive matrices and vocabulary scales. Oxford Psychologists Press, OxfordGoogle Scholar
- Weiner KS, Barnett M, Witthoft N, Golarai G, Stigliani A, Kay KN, Gomez J, Natu VS, Amunts K, Zilles K (2017) Defining the most probable location of the parahippocampal place area using cortex-based alignment and cross-validation. Neuroimage. https://doi.org/10.1016/j.neuroimage.2017.04.040 Google Scholar