ArticlePloS one2012
Time-delayed mutual information of the phase as a measure of functional connectivity.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Metric validation for detection of delayed and directed coupling.Journal of neural engineering · 2026Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- Probing Asymmetric Interactions with Time-Separated Mutual Information: A Case Study Using Golden Shiners.Entropy (Basel, Switzerland) · 2024Article
- The effects of spatial leakage correction on the reliability of EEG-based functional connectivity networks.Human brain mapping · 2024Article
- Top-down modulation of dichotic listening affects interhemispheric connectivity: an electroencephalography study.Frontiers in neuroscience · 2024Article
- Distinct roles of delta- and theta-band neural tracking for sharpening and predictive coding of multi-level speech features during spoken language processing.Human brain mapping · 2023Article
- Performance Baseline of Phase Transfer Entropy Methods for Detecting Animal Brain Area Interactions.Entropy (Basel, Switzerland) · 2023Article
- Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality.Entropy (Basel, Switzerland) · 2021Article
- Electroencephalogram-Electromyogram Functional Coupling and Delay Time Change Based on Motor Task Performance.Sensors (Basel, Switzerland) · 2021Article
- Noise-Assisted Multivariate EMD-Based Mean-Phase Coherence Analysis to Evaluate Phase-Synchrony Dynamics in Epilepsy Patients.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018Article
- Pre-processing and transfer entropy measures in motor neurons controlling limb movements.Journal of computational neuroscience · 2017Article
- The characterization of hippocampal theta-driving neurons - a time-delayed mutual information approach.Scientific reports · 2017Article
- How reliable are MEG resting-state connectivity metrics?NeuroImage · 2016Article
- Article
- Evaluation of Phase Locking and Cross Correlation Methods for Estimating the Time Lag between Brain Sites: A Simulation Approach.Basic and clinical neuroscience · 2014Article
- Quantification of Drive-Response Relationships Between Residues During Protein Folding.Journal of chemical theory and computation · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a time-delayed mutual information of the phase for detecting nonlinear synchronization in electrophysiological data such as MEG. Palus already introduced the mutual information as a measure of synchronization. To obtain estimates on small data-sets as reliably as possible, we adopt the numerical implementation as proposed by Kraskov and colleagues. An embedding with a parametric time-delay allows a reconstruction of arbitrary nonstationary connective structures--so-called connectivity patterns--in a wide class of systems such as coupled oscillatory or even purely stochastic driven processes. By using this method we do not need to make any assumptions about coupling directions, delay times, temporal dynamics, nonlinearities or underlying mechanisms. For verifying and refining the methods we generate synthetic data-sets by a mutual amplitude coupled network of Rössler oscillators with an a-priori known connective structure. This network is modified in such a way, that the power-spectrum forms a 1/f power law, which is also observed in electrophysiological recordings. The functional connectivity measure is tested on robustness to additive uncorrelated noise and in discrimination of linear mixed input data. For the latter issue a suitable de-correlation technique is applied. Furthermore, the compatibility to inverse methods for a source reconstruction in MEG such as beamforming techniques is controlled by dedicated dipole simulations. Finally, the method is applied on an experimental MEG recording.
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.