Localization of deep brain activity with scalp and subdural EEG
To what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ in their capability to locate sources of deep brain activity is far from evident. Compared to EEG, the spatial resolution and signal-to-noise ratio of ECoG is superior but its spatial coverage is more restricted...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-12-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920308302 |
| _version_ | 1819141358817902592 |
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| author | Mansoureh Fahimi Hnazaee Benjamin Wittevrongel Elvira Khachatryan Arno Libert Evelien Carrette Ine Dauwe Alfred Meurs Paul Boon Dirk Van Roost Marc M. Van Hulle |
| author_facet | Mansoureh Fahimi Hnazaee Benjamin Wittevrongel Elvira Khachatryan Arno Libert Evelien Carrette Ine Dauwe Alfred Meurs Paul Boon Dirk Van Roost Marc M. Van Hulle |
| author_sort | Mansoureh Fahimi Hnazaee |
| collection | DOAJ |
| description | To what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ in their capability to locate sources of deep brain activity is far from evident. Compared to EEG, the spatial resolution and signal-to-noise ratio of ECoG is superior but its spatial coverage is more restricted, as is arguably the volume of tissue activity effectively measured from. Moreover, scalp EEG studies are providing evidence of locating activity from deep sources such as the hippocampus using high-density setups during quiet wakefulness. To address this question, we recorded a multimodal dataset from 4 patients with refractory epilepsy during quiet wakefulness. This data comprises simultaneous scalp, subdural and depth EEG electrode recordings. The latter was located in the hippocampus or insula and provided us with our “ground truth” for source localization of deep activity. We applied independent component analysis (ICA) for the purpose of separating the independent sources in theta, alpha and beta frequency band activity. In all patients subdural- and scalp EEG components were observed which had a significant zero-lag correlation with one or more contacts of the depth electrodes. Subsequent dipole modeling of the correlating components revealed dipole locations that were significantly closer to the depth electrodes compared to the dipole location of non-correlating components. These findings support the idea that components found in both recording modalities originate from neural activity in close proximity to the depth electrodes. Sources localized with subdural electrodes were ~70% closer to the depth electrode than sources localized with EEG with an absolute improvement of around ~2cm. In our opinion, this is not a considerable improvement in source localization accuracy given that, for clinical purposes, ECoG electrodes were implanted in close proximity to the depth electrodes. Furthermore, the ECoG grid attenuates the scalp EEG, due to the electrically isolating silastic sheets in which the ECoG electrodes are embedded. Our results on dipole modeling show that the deep source localization accuracy of scalp EEG is comparable to that of ECoG. Significance Statement: Deep and subcortical regions play an important role in brain function. However, as joint recordings at multiple spatial scales to study brain function in humans are still scarce, it is still unresolved to what extent ECoG and EEG differ in their capability to locate sources of deep brain activity. To the best of our knowledge, this is the first study presenting a dataset of simultaneously recorded EEG, ECoG and depth electrodes in the hippocampus or insula, with a focus on non-epileptiform activity (quiet wakefulness). Furthermore, we are the first study to provide experimental findings on the comparison of source localization of deep cortical structures between invasive and non-invasive brain activity measured from the cortical surface. |
| first_indexed | 2024-12-22T11:53:11Z |
| format | Article |
| id | doaj.art-4963cf1043c84d8ca8f6f1cc807a4088 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-22T11:53:11Z |
| publishDate | 2020-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-4963cf1043c84d8ca8f6f1cc807a40882022-12-21T18:26:54ZengElsevierNeuroImage1095-95722020-12-01223117344Localization of deep brain activity with scalp and subdural EEGMansoureh Fahimi Hnazaee0Benjamin Wittevrongel1Elvira Khachatryan2Arno Libert3Evelien Carrette4Ine Dauwe5Alfred Meurs6Paul Boon7Dirk Van Roost8Marc M. Van Hulle9Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, Belgium; Corresponding author.Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, BelgiumLaboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, BelgiumLaboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, BelgiumFaculty of Medicine and Health Sciences, Ghent University Hospital, Ghent, BelgiumFaculty of Medicine and Health Sciences, Ghent University Hospital, Ghent, BelgiumFaculty of Medicine and Health Sciences, Ghent University Hospital, Ghent, BelgiumFaculty of Medicine and Health Sciences, Ghent University Hospital, Ghent, BelgiumFaculty of Medicine and Health Sciences, Ghent University Hospital, Ghent, BelgiumLaboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, BelgiumTo what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ in their capability to locate sources of deep brain activity is far from evident. Compared to EEG, the spatial resolution and signal-to-noise ratio of ECoG is superior but its spatial coverage is more restricted, as is arguably the volume of tissue activity effectively measured from. Moreover, scalp EEG studies are providing evidence of locating activity from deep sources such as the hippocampus using high-density setups during quiet wakefulness. To address this question, we recorded a multimodal dataset from 4 patients with refractory epilepsy during quiet wakefulness. This data comprises simultaneous scalp, subdural and depth EEG electrode recordings. The latter was located in the hippocampus or insula and provided us with our “ground truth” for source localization of deep activity. We applied independent component analysis (ICA) for the purpose of separating the independent sources in theta, alpha and beta frequency band activity. In all patients subdural- and scalp EEG components were observed which had a significant zero-lag correlation with one or more contacts of the depth electrodes. Subsequent dipole modeling of the correlating components revealed dipole locations that were significantly closer to the depth electrodes compared to the dipole location of non-correlating components. These findings support the idea that components found in both recording modalities originate from neural activity in close proximity to the depth electrodes. Sources localized with subdural electrodes were ~70% closer to the depth electrode than sources localized with EEG with an absolute improvement of around ~2cm. In our opinion, this is not a considerable improvement in source localization accuracy given that, for clinical purposes, ECoG electrodes were implanted in close proximity to the depth electrodes. Furthermore, the ECoG grid attenuates the scalp EEG, due to the electrically isolating silastic sheets in which the ECoG electrodes are embedded. Our results on dipole modeling show that the deep source localization accuracy of scalp EEG is comparable to that of ECoG. Significance Statement: Deep and subcortical regions play an important role in brain function. However, as joint recordings at multiple spatial scales to study brain function in humans are still scarce, it is still unresolved to what extent ECoG and EEG differ in their capability to locate sources of deep brain activity. To the best of our knowledge, this is the first study presenting a dataset of simultaneously recorded EEG, ECoG and depth electrodes in the hippocampus or insula, with a focus on non-epileptiform activity (quiet wakefulness). Furthermore, we are the first study to provide experimental findings on the comparison of source localization of deep cortical structures between invasive and non-invasive brain activity measured from the cortical surface.http://www.sciencedirect.com/science/article/pii/S1053811920308302Joint EEGECoGDepth electrodeSource localizationQuiet wakefulnessDeep brain activity |
| spellingShingle | Mansoureh Fahimi Hnazaee Benjamin Wittevrongel Elvira Khachatryan Arno Libert Evelien Carrette Ine Dauwe Alfred Meurs Paul Boon Dirk Van Roost Marc M. Van Hulle Localization of deep brain activity with scalp and subdural EEG NeuroImage Joint EEG ECoG Depth electrode Source localization Quiet wakefulness Deep brain activity |
| title | Localization of deep brain activity with scalp and subdural EEG |
| title_full | Localization of deep brain activity with scalp and subdural EEG |
| title_fullStr | Localization of deep brain activity with scalp and subdural EEG |
| title_full_unstemmed | Localization of deep brain activity with scalp and subdural EEG |
| title_short | Localization of deep brain activity with scalp and subdural EEG |
| title_sort | localization of deep brain activity with scalp and subdural eeg |
| topic | Joint EEG ECoG Depth electrode Source localization Quiet wakefulness Deep brain activity |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920308302 |
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