Identifying true brain interaction from EEG data using the imaginary part of coherency.
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Summary
It is possible to reliably detect brain interaction during movement from EEG data and it is argued that the Cartesian representation is far superior for studying brain interactions.
- Type
- article
- Published
- 2004-10-01
- Cited by
- 1,775
- References
- 34
- OpenAlex
- https://openalex.org/W2077491345
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206790699
Keywords
Electroencephalography, Representation (politics), Psychology, Brain activity and meditation, Neuroscience
References
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- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
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- Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
- Event-Related changes of band power and coherence: methodology and interpretation.
- Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method.
- Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem.
- Statistical assessment of nonlinear causality: application to epileptic EEG signals.
- Task-related coherence and task-related spectral power changes during sequential finger movements.
- Information flow from the sensorimotor cortex to muscle in humans
- EEG coherency II: experimental comparisons of multiple measures.
- Common reference coherence data are confounded by power and phase effects.
- Phase and amplitude analysis in time-frequency space--application to voluntary finger movement.
- Electromagnetic brain mapping
- Do changes in coherence always reflect changes in functional coupling?
- Bimanual coordination and interhemispheric interaction.
- The volume conductor may act as a temporal filter on the ECG and EEG
- Functional coupling of human right and left cortical motor areas demonstrated with partial coherence analysis.
Cited by
- Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
- Minimum Overlap Component Analysis (MOCA) of EEG/MEG data for more than two sources.
- Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms
- Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography.
- Standing Waves as an Explanation for Generic Stationary Correlation Patterns in Noninvasive EEG of Focal Onset Seizures
- Mechanisms of Zero-Lag Synchronization in Cortical Motifs
- Inter-hemispheric EEG coherence analysis in Parkinson’s disease: Assessing brain activity during emotion processing
- Functional brain connectivity from EEG in epilepsy: seizure prediction and epileptogenic focus localization.
- Quantification of the effects of volume conduction on the EEG/MEG connectivity estimates: an index of sensitivity to brain interactions
- Defining regions of interest using cross-frequency coupling in extratemporal lobe epilepsy patients
- What graph theory actually tells us about resting state interictal MEG epileptic activity
- Large-scale network-level processes during entrainment
- The Cortical Processing of Sensorimotor Sequences is Disrupted in Writer's Cramp
- Time evolution of interhemispheric coupling in a model of focal neocortical epilepsy in mice.
- Neural correlates of lexical decisions in Parkinson's disease revealed with multivariate extraction of cortico-subthalamic interactions.
- Local or Not Local: Investigating the Nature of Striatal Theta Oscillations in Behaving Rats
- A neural correlate for common trait dissociation: Decreased EEG connectivity is related to dissociative absorption.
- Somatosensory electrical stimulation improves skill acquisition, consolidation, and transfer by increasing sensorimotor activity and connectivity.
- Mapping critical hubs of receptive and expressive language using MEG: A comparison against fMRI
- In a network state of mind
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