Parallel hippocampal-parietal circuits for self- and goal-oriented processing

The hippocampus is critically important for a diverse range of cognitive processes, such as episodic memory, prospective memory, affective processing, and spatial navigation. Using individual-specific precision functional mapping of resting-state functional MRI data, we found the anterior hippocampus (head and body) to be preferentially functionally connected to the default mode network (DMN), as expected. The hippocampal tail, however, was strongly preferentially functionally connected to the parietal memory network (PMN), which supports goal-oriented cognition and stimulus recognition. This anterior–posterior dichotomy of resting-state functional connectivity was well-matched by differences in task deactivations and anatomical segmentations of the hippocampus. Task deactivations were localized to the hippocampal head and body (DMN), relatively sparing the tail (PMN). The functional dichotomization of the hippocampus into anterior DMN-connected and posterior PMN-connected parcels suggests parallel but distinct circuits between the hippocampus and medial parietal cortex for self- versus goal-oriented processing.

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Parallel Hippocampal-Parietal Circuits for Self- and Goal-oriented Processing

10.1101/2020.12.01.395210 ◽

2020 ◽

Author(s):

Annie Zheng ◽

David F. Montez ◽

Scott Marek ◽

Adrian W. Gilmore ◽

Dillan J. Newbold ◽

...

Keyword(s):

Parietal Cortex ◽

Cognitive Processes ◽

Resting State ◽

Resting State Fmri ◽

Affective Processing ◽

Resting State Functional Connectivity ◽

Diverse Range ◽

Memory Network ◽

Stimulus Recognition ◽

Anterior Posterior

SUMMARYThe hippocampus is critically important for a diverse range of cognitive processes, such as episodic memory, prospective memory, affective processing, and spatial navigation. The human hippocampus has been thought of as being solely functionally connected to a set of neocortical regions known as the default mode network (DMN), which supports self-referential cognition. Using individual-specific precision functional mapping of resting state fMRI data, we found the anterior hippocampus (head and body) to be preferentially connected to the DMN as expected. The hippocampal tail, however, was strongly preferentially connected to the parietal memory network (PMN), which supports goal-oriented cognition and stimulus recognition. This resting state functional connectivity (RSFC) anterior-posterior dichotomy was well-matched by differences in task deactivations and anatomical segmentations of the hippocampus. Task deactivations were localized to the head and body of the hippocampus (DMN), relatively sparing the tail (PMN). Anterior and posterior hippocampal connectivity was network-specific even though the DMN and PMN are interdigitated in medial parietal cortex. The functional dichotomization of the hippocampus into anterior DMN-connected and posterior PMN-connected parcels suggests parallel, but distinct circuits between the hippocampus and medial parietal cortex for self vs. goal-oriented processing.

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Resting state functional connectivity of the hippocampus along the anterior–posterior axis and its association with glutamatergic metabolism

Cortex ◽

10.1016/j.cortex.2016.03.022 ◽

2016 ◽

Vol 81 ◽

pp. 104-117 ◽

Cited By ~ 20

Author(s):

Gerd Wagner ◽

Alexander Gussew ◽

Stefanie Köhler ◽

Feliberto de la Cruz ◽

Stefan Smesny ◽

...

Keyword(s):

Functional Connectivity ◽

Resting State ◽

Resting State Functional Connectivity ◽

Anterior Posterior ◽

Anterior Posterior Axis

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Direct and indirect parieto-medial temporal pathways for spatial navigation in humans: evidence from resting-state functional connectivity

Brain Structure and Function ◽

10.1007/s00429-016-1318-6 ◽

2016 ◽

Vol 222 (4) ◽

pp. 1945-1957 ◽

Cited By ~ 21

Author(s):

Maddalena Boccia ◽

Valentina Sulpizio ◽

Federico Nemmi ◽

Cecilia Guariglia ◽

Gaspare Galati

Keyword(s):

Functional Connectivity ◽

Resting State ◽

Spatial Navigation ◽

Resting State Functional Connectivity

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Predicting episodic and spatial memory performance from hippocampal resting-state functional connectivity: Evidence for an anterior-posterior division of function

Hippocampus ◽

10.1002/hipo.22807 ◽

2017 ◽

Vol 28 (1) ◽

pp. 53-66 ◽

Cited By ~ 12

Author(s):

Jonas Persson ◽

Eva Stening ◽

Kristin Nordin ◽

Hedvig Söderlund

Keyword(s):

Functional Connectivity ◽

Spatial Memory ◽

Resting State ◽

Memory Performance ◽

Resting State Functional Connectivity ◽

Posterior Division ◽

Anterior Posterior

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EEG and fMRI connectomes are reliably related: a simultaneous EEG-fMRI study from 1.5T to 7T

10.1101/2020.06.16.154625 ◽

2020 ◽

Author(s):

Jonathan Wirsich ◽

João Jorge ◽

Giannina R Iannotti ◽

Elhum A Shamshiri ◽

Frédéric Grouiller ◽

...

Keyword(s):

Functional Connectivity ◽

Resting State ◽

Brain Function ◽

High Field ◽

Brain Activity ◽

Consistent Estimate ◽

Resting State Functional Connectivity ◽

Whole Brain ◽

Diverse Range ◽

Wide Range

AbstractBoth electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are non-invasive methods that show complementary aspects of human brain activity. Despite their differences in probing brain activity, both electrophysiology and BOLD signal can map the underlying functional connectivity structure at the whole brain scale at different timescales. Previous work demonstrated a moderate but significant correlation between resting-state functional connectivity of both modalities, however there is a wide range of technical setups to measure simultaneous EEG-fMRI and the reliability of those measures between different setups remains unknown. This is true notably with respect to different magnetic field strengths (low and high field) and different spatial sampling of EEG (medium to high-density electrode coverage).Here, we investigated the reliability of the bimodal EEG-fMRI functional connectome in the most comprehensive resting-state simultaneous EEG-fMRI dataset compiled to date including a total of 72 subjects from four different imaging centers. Data was acquired from 1.5T, 3T and 7T scanners with simultaneously recorded EEG using 64 or 256 electrodes. We demonstrate that the whole-brain monomodal connectivity reliably correlates across different datasets and that the crossmodal correlation between EEG and fMRI connectivity of r≈0.3 can be reliably extracted in low and high-field scanners. The crossmodal correlation was strongest in the EEG-β frequency band but exists across all frequency bands. Both homotopic and withing intrinsic connectivity network (ICN) connections contributed the most to the crossmodal relationship.This study confirms, using a considerably diverse range of recording setups, that simultaneous EEG-fMRI offers a consistent estimate of multimodal functional connectomes in healthy subjects being organized into reliable ICNs across different timescales. This opens new avenues for estimating the dynamics of brain function and provides a better understanding of interactions between EEG and fMRI measures. Alterations of this coupling could be explored as a potential clinical marker of pathological brain function.

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