Mapping the organization and dynamics of the posterior medial network during movie watching

Cooper, Rose A.; Kurkela, Kyle A.; Davis, Simon W.; Ritchey, Maureen

doi:10.1016/j.neuroimage.2021.118075

Cited by 28 publications

(27 citation statements)

References 77 publications

(118 reference statements)

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“…Additionally, edge time series likely relate to the dynamic information that can be computed at the edge level via the Multiplication of Temporal Derivatives method, which has demonstrated increased temporal sensitivity to simulated and task-evoked changes in connectivity ( Shine et al, 2015 ). There remains much to be explored regarding the networked edge dynamics, including the ongoing topology these dynamics form ( Betzel et al, 2021 ) and the cofluctuation patterns that might evolve intrinsically ( Lindquist, Xu, Nebel, & Caffo, 2014 ) or evoked during experimental manipulations ( Cooper, Kurkela, Davis, & Ritchey, 2021 ; Rosenthal, Sporns, & Avidan, 2017 ).…”

Section: Edges In Communication and Brain Dynamicsmentioning

confidence: 99%

Edges in brain networks: Contributions to models of structure and function

Faskowitz

Betzel

Sporns

2021

Network Neuroscience

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Network models describe the brain as sets of nodes and edges that represent its distributed organization. So far, most discoveries in network neuroscience have prioritized insights that highlight distinct groupings and specialized functional contributions of network nodes. Importantly, these functional contributions are determined and expressed by the web of their interrelationships, formed by network edges. Here, we underscore the important contributions made by brain network edges for understanding distributed brain organization. Different types of edges represent different types of relationships, including connectivity and similarity among nodes. Adopting a specific definition of edges can fundamentally alter how we analyze and interpret a brain network. Furthermore, edges can associate into collectives and higher-order arrangements, describe time series, and form edge communities that provide insights into brain network topology complementary to the traditional node-centric perspective. Focusing on the edges, and the higher-order or dynamic information they can provide, discloses previously underappreciated aspects of structural and functional network organization.

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Section: Edges In Communication and Brain Dynamicsmentioning

confidence: 99%

Edges in brain networks: Contributions to models of structure and function

Faskowitz

Betzel

Sporns

2021

Network Neuroscience

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“…For example, the stationary functional connectivity between the supramarginal gyrus and posterior cingulate gyrus was close to zero, while the windowed dynamic connectivity showed highly consistent fluctuations. To date, only handful of studies have examined dynamic connectivity during movie watching (Cooper et al, 2021;Freitas et al, 2020;Simony and Chang, 2020). It is still largely unknown how the spatial pattern is modulated by different movie contents, and how dynamic connectivity is spatially distributed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic and stationary brain connectivity during movie watching as revealed by functional MRI

Zhang

et al. 2022

Brain Struct Funct

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Spatially remote brain regions show synchronized activity as typically revealed by correlated functional MRI (fMRI) signals. An emerging line of research has focused on the temporal fluctuations of connectivity, however, its relationships with stationary connectivity have not been clearly illustrated. We examined dynamic and stationary connectivity when the participants watched four different movie clips.We calculated point-by-point multiplication between two regional time series to estimate the timeresolved dynamic connectivity, and estimated the inter-individual consistency of the dynamic connectivity time series. Widespread consistent dynamic connectivity was observed for each movie clip, which also showed differences between the clips. For example, a cartoon movie clip, The Present, showed more consistent of dynamic connectivity with the posterior cingulate cortex and supramarginal gyrus, while a court drama clip, A Few Good Men, showed more consistent of dynamic connectivity with the auditory cortex and temporoparietal junction, which might suggest the involvement of specific brain processing for different movie contents. In contrast, the stationary connectivity as measured by the correlations between regional time series was highly similar among the movie clips, and showed fewer statistically significant differences. The patterns of consistent dynamic connectivity could be used to classify different movie clips with higher accuracy than the stationary connectivity and regional activity.These results support the functional significance of dynamic connectivity in reflecting functional brain changes, which could provide more functionally related information than stationary connectivity.

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“…The neocortex, however, is not a homogeneous collection of regions and specific networks of neocortical regions are thought to play a role in representing event models and connect with the hippocampus. Analyses of cortical networks with fMRI have indicated that the hippocampus shows high functional connectivity with a "Medial Temporal Network" (MTN) and 3 subnetworks of the DMN (Andrews-Hanna et al, 2010;Barnett et al, 2021;Cooper et al, 2021;Gordon et al, 2020)-the "Posterior Medial Network" (PMN), "Anterior Temporal Network (ATN)", and the "Medial Prefrontal Network" (MPN). These networks can be differentiated based on multivariate representations during memory-guided decision making (Barnett et al, 2021), task activation (DiNicola et al, 2020), and functional connectivity patterns (Barnett et al, 2021;Braga et al, 2019;Cooper et al, 2021;Gordon et al, 2020).…”

mentioning

confidence: 99%

“…Analyses of cortical networks with fMRI have indicated that the hippocampus shows high functional connectivity with a "Medial Temporal Network" (MTN) and 3 subnetworks of the DMN (Andrews-Hanna et al, 2010;Barnett et al, 2021;Cooper et al, 2021;Gordon et al, 2020)-the "Posterior Medial Network" (PMN), "Anterior Temporal Network (ATN)", and the "Medial Prefrontal Network" (MPN). These networks can be differentiated based on multivariate representations during memory-guided decision making (Barnett et al, 2021), task activation (DiNicola et al, 2020), and functional connectivity patterns (Barnett et al, 2021;Braga et al, 2019;Cooper et al, 2021;Gordon et al, 2020). While these networks show reliable connectivity with the hippocampus, it is unclear how their interactions with the hippocampus support encoding and whether this support is amplified at event boundaries.…”

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confidence: 99%

Dynamic hippocampal-cortical interactions during event boundaries support retention of complex narrative events

Barnett

Nguyen

Spargo

et al. 2022

Preprint

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According to most memory theories, encoding involves continuous communication between the hippocampus and neocortex leaving the temporal dynamics of hippocampal-neocortical interactions often overlooked. Recent work has shown that we perceive complex events in our lives as dynamic, with relatively distinct starting and stopping points known as event boundaries. Event boundaries may be important for memory, as they are associated with increased activity in the hippocampus, and extended neocortical regions (the posterior cingulate cortex, lateral parietal cortex, and parahippocampal cortex). Our objective was to determine how functional connectivity between the hippocampus and neocortical regions during the encoding of naturalistic events (movies) related to subsequent retrieval and retention of those events. Participants encoded two 16-minute cartoon movies during fMRI scanning. After encoding, participants freely recalled one of the movies immediately, and the other after a 2-day delay. We quantified hippocampal-neocortical functional connectivity (FC) at time windows around each event onset, middle, and offset, and compared these FC measures with subsequent recall. These analyses revealed that higher FC between the hippocampus and the posterior medial network (PMN) at an event's offset related to whether that event was subsequently recalled. In contrast, mid-event connectivity between the hippocampus and PMN was associated with poorer memory. Furthermore, hippocampal-PMN offset connectivity predicted not only whether events were retained in memory, but also the degree to which these events could be recalled in detail after a 2-day delay. These data demonstrate that the relationship between memory encoding and hippocampal-neocortical interaction is more dynamic than suggested by most memory theories, and they converge with recent modeling work suggesting that event offset is an optimal time for encoding.

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Mapping the organization and dynamics of the posterior medial network during movie watching

Cited by 28 publications

References 77 publications

Edges in brain networks: Contributions to models of structure and function

Edges in brain networks: Contributions to models of structure and function

Dynamic and stationary brain connectivity during movie watching as revealed by functional MRI

Dynamic hippocampal-cortical interactions during event boundaries support retention of complex narrative events

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