2015
DOI: 10.1007/978-3-319-21843-4_13
|View full text |Cite
|
Sign up to set email alerts
|

Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury

Abstract: Abstract. The integration of multidimensional, longitudinal data acquired using the combined use of structural neuroimaging [e.g. magnetic resonance imaging (MRI), computed tomography (CT)] and neurophysiological recordings [e.g. electroencephalography (EEG)] poses substantial challenges to neuroinformaticians and to biomedical scientists who interact frequently with such data. In traumatic brain injury (TBI) studies, this challenge is even more severe due to the substantial heterogeneity of TBIs across patien… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 21 publications
(19 reference statements)
0
1
0
Order By: Relevance
“…Although measurement variability in cortical thickness across different scanners with the same field strength has been reported as low (Han et al, 2006), we mitigated such effects by including scanner site as covariate in our analysis. Another limitation is that although semi-automated approaches, such as those used here, have been established as highly reliable and precise in estimating cortical metrics in healthy individuals (Iscan et al, 2015;Liem et al, 2015), the presence of gross structural injuries can cause inaccuracies in cortical thickness estimations (Irimia et al, 2014). In our study, individuals with focal lesions were also included and therefore we ensured that visual inspections were carefully carried out and any errors (e.g., pial surface errors) were manually corrected.…”
Section: Discussionmentioning
confidence: 99%
“…Although measurement variability in cortical thickness across different scanners with the same field strength has been reported as low (Han et al, 2006), we mitigated such effects by including scanner site as covariate in our analysis. Another limitation is that although semi-automated approaches, such as those used here, have been established as highly reliable and precise in estimating cortical metrics in healthy individuals (Iscan et al, 2015;Liem et al, 2015), the presence of gross structural injuries can cause inaccuracies in cortical thickness estimations (Irimia et al, 2014). In our study, individuals with focal lesions were also included and therefore we ensured that visual inspections were carefully carried out and any errors (e.g., pial surface errors) were manually corrected.…”
Section: Discussionmentioning
confidence: 99%