Matches in SemOpenAlex for { <https://semopenalex.org/work/W3083677246> ?p ?o ?g. }
- W3083677246 endingPage "117344" @default.
- W3083677246 startingPage "117344" @default.
- W3083677246 abstract "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. 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." @default.
- W3083677246 created "2020-09-11" @default.
- W3083677246 creator A5012589210 @default.
- W3083677246 creator A5014226648 @default.
- W3083677246 creator A5020038249 @default.
- W3083677246 creator A5022490304 @default.
- W3083677246 creator A5035157889 @default.
- W3083677246 creator A5039470804 @default.
- W3083677246 creator A5046756743 @default.
- W3083677246 creator A5064743416 @default.
- W3083677246 creator A5080101277 @default.
- W3083677246 creator A5088554255 @default.
- W3083677246 date "2020-12-01" @default.
- W3083677246 modified "2023-09-23" @default.
- W3083677246 title "Localization of deep brain activity with scalp and subdural EEG" @default.
- W3083677246 cites W1978048708 @default.
- W3083677246 cites W1990590765 @default.
- W3083677246 cites W2003238226 @default.
- W3083677246 cites W2006672920 @default.
- W3083677246 cites W2018342481 @default.
- W3083677246 cites W2028424957 @default.
- W3083677246 cites W2032146992 @default.
- W3083677246 cites W2033353916 @default.
- W3083677246 cites W2040986149 @default.
- W3083677246 cites W2041717313 @default.
- W3083677246 cites W2045706451 @default.
- W3083677246 cites W2046592570 @default.
- W3083677246 cites W2050061595 @default.
- W3083677246 cites W2056336718 @default.
- W3083677246 cites W2057747886 @default.
- W3083677246 cites W2059147492 @default.
- W3083677246 cites W2063305527 @default.
- W3083677246 cites W2065095562 @default.
- W3083677246 cites W2065613049 @default.
- W3083677246 cites W2067682842 @default.
- W3083677246 cites W2067891729 @default.
- W3083677246 cites W2077926474 @default.
- W3083677246 cites W2089244139 @default.
- W3083677246 cites W2090664364 @default.
- W3083677246 cites W2097542981 @default.
- W3083677246 cites W2101036104 @default.
- W3083677246 cites W2109389996 @default.
- W3083677246 cites W2115606700 @default.
- W3083677246 cites W2116373155 @default.
- W3083677246 cites W2118854434 @default.
- W3083677246 cites W2118872857 @default.
- W3083677246 cites W2127786259 @default.
- W3083677246 cites W2128495200 @default.
- W3083677246 cites W2144112898 @default.
- W3083677246 cites W2145309136 @default.
- W3083677246 cites W2151721316 @default.
- W3083677246 cites W2166073443 @default.
- W3083677246 cites W2171746332 @default.
- W3083677246 cites W2286951844 @default.
- W3083677246 cites W2412931171 @default.
- W3083677246 cites W2552876567 @default.
- W3083677246 cites W2580314690 @default.
- W3083677246 cites W2675054706 @default.
- W3083677246 cites W2765279619 @default.
- W3083677246 cites W2788979978 @default.
- W3083677246 cites W2791093243 @default.
- W3083677246 cites W2792900774 @default.
- W3083677246 cites W2795786470 @default.
- W3083677246 cites W2887978199 @default.
- W3083677246 cites W2898938500 @default.
- W3083677246 cites W2906743803 @default.
- W3083677246 cites W2911372390 @default.
- W3083677246 cites W2941818277 @default.
- W3083677246 cites W2950270926 @default.
- W3083677246 cites W2952421736 @default.
- W3083677246 cites W2953295210 @default.
- W3083677246 cites W3015908580 @default.
- W3083677246 cites W4210328736 @default.
- W3083677246 doi "https://doi.org/10.1016/j.neuroimage.2020.117344" @default.
- W3083677246 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32898677" @default.
- W3083677246 hasPublicationYear "2020" @default.
- W3083677246 type Work @default.
- W3083677246 sameAs 3083677246 @default.
- W3083677246 citedByCount "27" @default.
- W3083677246 countsByYear W30836772462021 @default.
- W3083677246 countsByYear W30836772462022 @default.
- W3083677246 countsByYear W30836772462023 @default.
- W3083677246 crossrefType "journal-article" @default.
- W3083677246 hasAuthorship W3083677246A5012589210 @default.
- W3083677246 hasAuthorship W3083677246A5014226648 @default.
- W3083677246 hasAuthorship W3083677246A5020038249 @default.
- W3083677246 hasAuthorship W3083677246A5022490304 @default.
- W3083677246 hasAuthorship W3083677246A5035157889 @default.
- W3083677246 hasAuthorship W3083677246A5039470804 @default.
- W3083677246 hasAuthorship W3083677246A5046756743 @default.
- W3083677246 hasAuthorship W3083677246A5064743416 @default.
- W3083677246 hasAuthorship W3083677246A5080101277 @default.
- W3083677246 hasAuthorship W3083677246A5088554255 @default.
- W3083677246 hasBestOaLocation W30836772461 @default.
- W3083677246 hasConcept C105702510 @default.
- W3083677246 hasConcept C120843803 @default.
- W3083677246 hasConcept C125990524 @default.
- W3083677246 hasConcept C153180895 @default.