Evidence map›Paper›PMID 31244648›Full record

ArticleFrontiers in aging neuroscience2019

Lifespan Changes in Network Structure and Network Topology Dynamics During Rest and Auditory Oddball Performance.

Viktor Müller, Viktor Jirsa, Dionysios Perdikis, Rita Sleimen-Malkoun, Timo von Oertzen, Ulman Lindenberger

Abstract read
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Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Viktor MüllerCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Viktor JirsaAix Marseille University, INSERM, INS, The Institut de Neurosciences des Systèmes, Marseille, France.
Dionysios PerdikisCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Rita Sleimen-MalkounAix Marseille University, CNRS, ISM, The Institute of Movement Science, Marseille, France.
Timo von OertzenCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Ulman LindenbergerCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behavioral and physiological evidence suggests that developmental changes lead to enhanced cortical differentiation and integration through maturation and learning, and that senescent changes during aging result in dedifferentiation and reduced cortical specialization of neural cell assemblies. We used electroencephalographic (EEG) recordings to evaluate network structure and network topology dynamics during rest with eyes closed and open, and during auditory oddball task across the lifespan. For this evaluation, we constructed a hyper-frequency network (HFN) based on within- and cross-frequency coupling (WFC and CFC, respectively) at 10 oscillation frequencies ranging between 2 and 20 Hz. We found that WFC increased monotonously across the lifespan, whereas CFC showed a U-shaped relationship. These changes in WFC and CFC strengths coevolve with changes in network structure and network topology dynamics, namely the magnitude of graph-theoretical topology measures increased linearly with age (except for characteristic path length, which is going shorter), while their standard deviation showed an inverse U-shaped relationship with a peak in young adults. Temporal as well as structural or nodal similarity of network topology (with some exceptions) seems to coincide with variability changes, i.e., stronger variability is related to higher similarity between consecutive time windows or nodes. Furthermore, network complexity measures showed different lifespan-related patterns, which depended on the balance of WFC and CFC strengths. Both variability and complexity of HFNs were strongly related to the perceptual speed scores. Finally, investigation of the modular organization of the networks revealed higher number of modules and stronger similarity of community structures across time in young adults as compared with children and older adults. We conclude that network variability and complexity measures reflect temporal and structural topology changes in the functional organization and reorganization of neuronal cell assemblies across the lifespan.

Indexed as

auditory oddball performancedirectional couplingEEGfunctional connectivitygraph-theoretical approachlifespan changesnetwork topology dynamicsresting state

Identifiers

PMID31244648
PMCPMC6580332

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.