Incorporating priors for EEG source imaging and connectivity analysis
Electroencephalography source imaging (ESI) is a useful technique to localize the generators from a given scalp electric measurement and to investigate the temporal dynamics of the large-scale neural circuits. By introducing reasonable priors from other modalities, ESI reveals the most probable sour...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2015-08-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00284/full |
| _version_ | 1811339952784408576 |
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| author | Xu eLei Taoyu eWu Pedro eValdes-Sosa |
| author_facet | Xu eLei Taoyu eWu Pedro eValdes-Sosa |
| author_sort | Xu eLei |
| collection | DOAJ |
| description | Electroencephalography source imaging (ESI) is a useful technique to localize the generators from a given scalp electric measurement and to investigate the temporal dynamics of the large-scale neural circuits. By introducing reasonable priors from other modalities, ESI reveals the most probable sources and communication structures at every moment in time. Here, we review the available priors from such techniques as magnetic resonance imaging (MRI), functional MRI (fMRI), and positron emission tomography (PET). The modality's specific contribution is analyzed from the perspective of source reconstruction. For spatial priors, such as EEG-correlated fMRI, temporally coherent networks and resting-state fMRI are systematically introduced in the ESI. Moreover, the fiber tracking (diffusion tensor imaging, DTI) and neuro-stimulation techniques (transcranial magnetic stimulation, TMS) are also introduced as the potential priors, which can help to draw inferences about the neuroelectric connectivity in the source space. We conclude that combining EEG source imaging with other complementary modalities is a promising approach towards the study of brain networks in cognitive and clinical neurosciences. |
| first_indexed | 2024-04-13T18:34:04Z |
| format | Article |
| id | doaj.art-4f300700d3c54c4c89237870e822f267 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-13T18:34:04Z |
| publishDate | 2015-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-4f300700d3c54c4c89237870e822f2672022-12-22T02:34:57ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2015-08-01910.3389/fnins.2015.00284149402Incorporating priors for EEG source imaging and connectivity analysisXu eLei0Taoyu eWu1Pedro eValdes-Sosa2Southwest UniversitySouthwest UniversitySouthwest UniversityElectroencephalography source imaging (ESI) is a useful technique to localize the generators from a given scalp electric measurement and to investigate the temporal dynamics of the large-scale neural circuits. By introducing reasonable priors from other modalities, ESI reveals the most probable sources and communication structures at every moment in time. Here, we review the available priors from such techniques as magnetic resonance imaging (MRI), functional MRI (fMRI), and positron emission tomography (PET). The modality's specific contribution is analyzed from the perspective of source reconstruction. For spatial priors, such as EEG-correlated fMRI, temporally coherent networks and resting-state fMRI are systematically introduced in the ESI. Moreover, the fiber tracking (diffusion tensor imaging, DTI) and neuro-stimulation techniques (transcranial magnetic stimulation, TMS) are also introduced as the potential priors, which can help to draw inferences about the neuroelectric connectivity in the source space. We conclude that combining EEG source imaging with other complementary modalities is a promising approach towards the study of brain networks in cognitive and clinical neurosciences.http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00284/fullEEG-fMRIbrain networkresting-state networksmultimodalityEEG source imaging |
| spellingShingle | Xu eLei Taoyu eWu Pedro eValdes-Sosa Incorporating priors for EEG source imaging and connectivity analysis Frontiers in Neuroscience EEG-fMRI brain network resting-state networks multimodality EEG source imaging |
| title | Incorporating priors for EEG source imaging and connectivity analysis |
| title_full | Incorporating priors for EEG source imaging and connectivity analysis |
| title_fullStr | Incorporating priors for EEG source imaging and connectivity analysis |
| title_full_unstemmed | Incorporating priors for EEG source imaging and connectivity analysis |
| title_short | Incorporating priors for EEG source imaging and connectivity analysis |
| title_sort | incorporating priors for eeg source imaging and connectivity analysis |
| topic | EEG-fMRI brain network resting-state networks multimodality EEG source imaging |
| url | http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00284/full |
| work_keys_str_mv | AT xuelei incorporatingpriorsforeegsourceimagingandconnectivityanalysis AT taoyuewu incorporatingpriorsforeegsourceimagingandconnectivityanalysis AT pedroevaldessosa incorporatingpriorsforeegsourceimagingandconnectivityanalysis |