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Mendeley readers
Attention Score in Context
| Title |
Causality within the Epileptic Network: An EEG-fMRI Study Validated by Intracranial EEG
|
|---|---|
| Published in |
Frontiers in Neurology, January 2013
|
| DOI | 10.3389/fneur.2013.00185 |
| Pubmed ID | |
| Authors |
Anna Elisabetta Vaudano, Pietro Avanzini, Laura Tassi, Andrea Ruggieri, Gaetano Cantalupo, Francesca Benuzzi, Paolo Nichelli, Louis Lemieux, Stefano Meletti |
| Abstract |
Accurate localization of the Seizure Onset Zone (SOZ) is crucial in patients with drug-resistance focal epilepsy. EEG with fMRI recording (EEG-fMRI) has been proposed as a complementary non-invasive tool, which can give useful additional information in the pre-surgical work-up. However, fMRI maps related to interictal epileptiform activities (IED) often show multiple regions of signal change, or "networks," rather than highly focal ones. Effective connectivity approaches like Dynamic Causal Modeling (DCM) applied to fMRI data potentially offers a framework to address which brain regions drives the generation of seizures and IED within an epileptic network. Here, we present a first attempt to validate DCM on EEG-fMRI data in one patient affected by frontal lobe epilepsy. Pre-surgical EEG-fMRI demonstrated two distinct clusters of blood oxygenation level dependent (BOLD) signal increases linked to IED, one located in the left frontal pole and the other in the ipsilateral dorso-lateral frontal cortex. DCM of the IED-related BOLD signal favored a model corresponding to the left dorso-lateral frontal cortex as driver of changes in the fronto-polar region. The validity of DCM was supported by: (a) the results of two different non-invasive analysis obtained on the same dataset: EEG source imaging (ESI), and "psycho-physiological interaction" analysis; (b) the failure of a first surgical intervention limited to the fronto-polar region; (c) the results of the intracranial EEG monitoring performed after the first surgical intervention confirming a SOZ located over the dorso-lateral frontal cortex. These results add evidence that EEG-fMRI together with advanced methods of BOLD signal analysis is a promising tool that can give relevant information within the epilepsy surgery diagnostic work-up. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 98 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 20% |
| Researcher | 14 | 14% |
| Student > Master | 14 | 14% |
| Other | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Other | 21 | 20% |
| Unknown | 16 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 23 | 22% |
| Medicine and Dentistry | 21 | 20% |
| Engineering | 13 | 13% |
| Agricultural and Biological Sciences | 7 | 7% |
| Computer Science | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 25 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2013.
All research outputs
#14,766,517
of 22,731,677 outputs
Outputs from Frontiers in Neurology
#6,063
of 11,635 outputs
Outputs of similar age
#175,356
of 280,769 outputs
Outputs of similar age from Frontiers in Neurology
#65
of 210 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,635 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.