ArticleCommunications biology2023
A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes.
Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Transient cerebellum-related network disruption characterizes postoperative cognitive changes after dominant hemisphere subtemporal meningioma resection.Acta neurochirurgica · 2026Article
- Positive affect increases aperiodic brain activity.Psychological research · 2026Article
- Temporally Defined Brain Network Activation Associated With Slowed Information Processing Speed in Multiple Sclerosis.Human brain mapping · 2026Article
- Article
- From Senses to Memory During Childhood: A Systematic Review and Bayesian Meta-Analysis Exploring Multisensory Processing and Working Memory Development.European journal of investigation in health, psychology and education · 2025Review
- Lifespan oscillatory dynamics in lexical production: A population-based MEG resting-state analysis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Robustness of brain state identification in synthetic phase-coupled neurodynamics using Hidden Markov Models.Frontiers in systems neuroscience · 2025Article
- Top-down selection of visual working memory contents is supported by alpha-band phase-synchronized oscillatory networks.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Disrupted working memory event-related network dynamics in multiple sclerosis.Communications biology · 2024Article
- Task-specific topology of brain networks supporting working memory and inhibition.Human brain mapping · 2024Article
- Neurophysiological avenues to better conceptualizing adaptive cognition.Communications biology · 2024Article
- Article
- Canonical Hidden Markov Model Networks for studying M/EEG.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The brain dynamics underlying working memory (WM) unroll via transient frequency-specific large-scale brain networks. This multidimensionality (time, space, and frequency) challenges traditional analyses. Through an unsupervised technique, the time delay embedded-hidden Markov model (TDE-HMM), we pursue a functional network analysis of magnetoencephalographic data from 38 healthy subjects acquired during an n-back task. Here we show that this model inferred task-specific networks with unique temporal (activation), spectral (phase-coupling connections), and spatial (power spectral density distribution) profiles. A theta frontoparietal network exerts attentional control and encodes the stimulus, an alpha temporo-occipital network rehearses the verbal information, and a broad-band frontoparietal network with a P300-like temporal profile leads the retrieval process and motor response. Therefore, this work provides a unified and integrated description of the multidimensional working memory dynamics that can be interpreted within the neuropsychological multi-component model of WM, improving the overall neurophysiological and neuropsychological comprehension of WM functioning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.