EEG coherence: topography and frequency structure.
- Authors
- Chorlian, David Balin; Rangaswamy, Madhavi; Porjesz, Bernice
- Year
- 2009
- Journal
- Experimental brain research
- PMID
- 19626316
- DOI
- 10.1007/s00221-009-1936-9
Topographical patterns of bipolar EEG coherence are frequency specific, indicating the presence of diverse neuroanatomical and neurophysiological factors in EEG production. Bipolar EEG coherence values were calculated at 50 frequency bins ranging from 3 to 28 Hz for 39 coherence pairs. Data were derived from 4.25 min of resting EEG obtained from 106 healthy adult male subjects and analyzed in 0.5 Hz bins by Fourier transform methods. Frequency bands were clearly separated at 8.5 and 13 Hz, with a less distinct separations at 6 and 20 Hz. Within pair (non-topographic) and across pair (topographic), measures gave similar patterns of separation. Significant pathways were primarily anterior-posterior interhemispheric or perpendicular to the anterior-posterior axis. There was little difference between left and right for comparable pairs. Theta band coherent activity involves distinct midline and temporal sources, with temporal sources showing anterior/posterior differentiation. In contrast, alpha activity has a distinct posterior focus, while beta activity shows no clear global structure. A spatially homogeneous model based on characteristics of thalamocortical connectivity accounts for much of the data, but departures from the model indicate the contribution of other neural factors to coherence.
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
No citations found.
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Childhood trauma is associated with developmental trajectories of EEG coherence, alcohol-related outcomes, and PTSD symptoms. | Neale ZE et al. | β | 2024 | β |
| Non-linear development of EEG coherence in adolescents and young adults shown by the analysis of neurophysiological trajectories and their covariance | Chorlian DB et al. | β | 2024 | β |
| COVID-19 pandemic stressors are associated with reported increases in frequency of drunkenness among individuals with a history of alcohol use disorder. | Meyers JL et al. | β | 2023 | β |
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | Kamarajan C et al. | β | 2023 | β |
| Ensemble of coupling forms and networks among brain rhythms as function of states and cognition. | Chen B et al. | β | 2022 | β |
| Resting-state occipito-frontal alpha connectome is linked to differential word learning ability in adult learners. | Huang Y et al. | β | 2022 | β |
| A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior. | Meyers JL et al. | β | 2021 | β |
| Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity. | Smit DJA et al. | β | 2021 | β |
| The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. | Meyers JL et al. | β | 2021 | β |
| The New Field of Network Physiology: Building the Human Physiolome. | Ivanov PC | β | 2021 | β |
| TMS-EEG Research to Elucidate the Pathophysiological Neural Bases in Patients with Schizophrenia: A Systematic Review. | Li X et al. | β | 2021 | β |
| A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics. | Torres-Ramos S et al. | β | 2020 | β |
| Dynamic network interactions among distinct brain rhythms as a hallmark of physiologic state and function. | Lin A et al. | β | 2020 | β |
| Predicting individual decision-making responses based on single-trial EEG. | Si Y et al. | β | 2020 | β |
| Association of Polygenic Liability for Alcohol Dependence and EEG Connectivity in Adolescence and Young Adulthood. | Meyers JL et al. | β | 2019 | β |
| The analysis of EEG coherence reflects middle childhood differences in mathematical achievement. | GonzΓ‘lez-Garrido AA et al. | β | 2018 | β |
| Models for Preterm Cortical Development Using Non Invasive Clinical EEG. | de Camp NV et al. | β | 2017 | β |
| Electroencephalography (EEG) Measures of Neural Connectivity in the Assessment of Brain Responses to Salient Auditory Stimuli in Patients with Disorders of Consciousness. | Lord V et al. | β | 2016 | β |
| Advances in Electrophysiological Research. | Kamarajan C et al. | β | 2015 | β |
| Understanding alcohol use disorders with neuroelectrophysiology. | Rangaswamy M et al. | β | 2014 | β |
| Dynamic changes of ICA-derived EEG functional connectivity in the resting state. | Chen JL et al. | β | 2013 | β |
| Electroencephalographic findings in panic disorder. | Carvalho MR et al. | β | 2013 | β |
| Complex visual hallucinations after occipital extrastriate ischemic stroke. | Tombini M et al. | β | 2012 | β |
| Event-Related Oscillations in Alcoholism Research: A Review. | Pandey AK et al. | β | 2012 | β |
| Tactile exploration of virtual objects for blind and sighted people: the role of beta 1 EEG band in sensory substitution and supramodal mental mapping. | Campus C et al. | β | 2012 | β |