PMID- 30459579 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20240214 IS - 1662-5161 (Print) IS - 1662-5161 (Electronic) IS - 1662-5161 (Linking) VI - 12 DP - 2018 TI - Resting State Connectivity Between Medial Temporal Lobe Regions and Intrinsic Cortical Networks Predicts Performance in a Path Integration Task. PG - 415 LID - 10.3389/fnhum.2018.00415 [doi] LID - 415 AB - Humans differ in their individual navigational performance, in part because successful navigation relies on several diverse abilities. One such navigational capability is path integration, the updating of position and orientation during movement, typically in a sparse, landmark-free environment. This study examined the relationship between path integration abilities and functional connectivity to several canonical intrinsic brain networks. Intrinsic networks within the brain reflect past inputs and communication as well as structural architecture. Individual differences in intrinsic connectivity have been observed for common networks, suggesting that these networks can inform our understanding of individual spatial abilities. Here, we examined individual differences in intrinsic connectivity using resting state magnetic resonance imaging (rsMRI). We tested path integration ability using a loop closure task, in which participants viewed a single video of movement in a circle trajectory in a sparse environment, and then indicated whether the video ended in the same location in which it started. To examine intrinsic brain networks, participants underwent a resting state scan. We found that better performance in the loop task was associated with increased connectivity during rest between the central executive network (CEN) and posterior hippocampus, parahippocampal cortex (PHC) and entorhinal cortex. We also found that connectivity between PHC and the default mode network (DMN) during rest was associated with better loop closure performance. The results indicate that interactions between medial temporal lobe (MTL) regions and intrinsic networks that involve prefrontal cortex (PFC) are important for path integration and navigation. FAU - Izen, Sarah C AU - Izen SC AD - Department of Psychological & Brain Sciences and Center for Memory & Brain, Boston University, Boston, MA, United States. FAU - Chrastil, Elizabeth R AU - Chrastil ER AD - Department of Psychological & Brain Sciences and Center for Memory & Brain, Boston University, Boston, MA, United States. AD - Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States. AD - Department of Geography, University of California, Santa Barbara, Santa Barbara, CA, United States. FAU - Stern, Chantal E AU - Stern CE AD - Department of Psychological & Brain Sciences and Center for Memory & Brain, Boston University, Boston, MA, United States. AD - Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States. LA - eng GR - P41 RR014075/RR/NCRR NIH HHS/United States PT - Journal Article DEP - 20181016 PL - Switzerland TA - Front Hum Neurosci JT - Frontiers in human neuroscience JID - 101477954 PMC - PMC6232837 OTO - NOTNLM OT - central executive network OT - default mode network OT - executive function OT - fronto-parietal OT - memory OT - navigation OT - path integration OT - resting state EDAT- 2018/11/22 06:00 MHDA- 2018/11/22 06:01 PMCR- 2018/01/01 CRDT- 2018/11/22 06:00 PHST- 2018/03/15 00:00 [received] PHST- 2018/09/25 00:00 [accepted] PHST- 2018/11/22 06:00 [entrez] PHST- 2018/11/22 06:00 [pubmed] PHST- 2018/11/22 06:01 [medline] PHST- 2018/01/01 00:00 [pmc-release] AID - 10.3389/fnhum.2018.00415 [doi] PST - epublish SO - Front Hum Neurosci. 2018 Oct 16;12:415. doi: 10.3389/fnhum.2018.00415. eCollection 2018.