Resting-state fMRI seizure onset localization meta-analysis: comparing rs-fMRI to other modalities including surgical outcomes Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.17615/5sn8-3877
Resting-state functional MRI (rs-fMRI) may localize the seizure onset zone (SOZ) for epilepsy surgery, when compared to intracranial EEG and surgical outcomes, per a prior meta-analysis. Our goals were to further characterize this agreement, by broadening the queried rs-fMRI analysis subtypes, comparative modalities, and same-modality comparisons, hypothesizing SOZ-signal strength may overcome this heterogeneity. PubMed, Embase, Scopus, Web of Science, and Google Scholar between April 2010 and April 2020 via PRISMA guidelines for SOZ-to-established-modalities were screened. Odd ratios measured agreement between SOZ and other modalities. Fixed- and random-effects analyses evaluated heterogeneity of odd ratios, with the former evaluating differences in agreement across modalities and same-modality studies. In total, 9,550 of 14,384 were non-duplicative articles and 25 met inclusion criteria. Comparative modalities were EEG 7, surgical outcome 6, intracranial EEG 5, anatomical MRI 4, EEG-fMRI 2, and magnetoencephalography 1. Independent component analysis 9 and seed-based analysis 8 were top rs-fMRI methods. Study-level odds ratio heterogeneity in both the fixed- and random-effects analysis was significant (p < 0.001). Marked cross-modality and same-modality systematic differences in agreement between rs-fMRI and the comparator were present (p = 0.005 and p = 0.002), respectively, with surgical outcomes having higher agreement than EEG (p = 0.002) and iEEG (p = 0.007). The estimated population mean sensitivity and specificity were 0.91 and 0.09, with predicted values across studies ranging from 0.44 to 0.96 and 0.02 to 0.67, respectively. We evaluated centrality and heterogeneity in SOZ agreement between rs-fMRI and comparative modalities using a wider variety of rs-fMRI analyzing subtypes and comparative modalities, compared to prior. Strong evidence for between-study differences in the agreement odds ratio was shown by both the fixed- and the random-effects analyses, attributed to rs-fMRI analysis variability. Agreement with rs-fMRI differed by modality type, with surgical outcomes having higher agreement than EEG and iEEG. Overall, sensitivity was high, but specificity was low, which may be attributed in part to differences between other modalities.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17615/5sn8-3877
- https://doi.org/10.17615/5sn8-3877
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406156933Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17615/5sn8-3877Digital Object Identifier
- Title
-
Resting-state fMRI seizure onset localization meta-analysis: comparing rs-fMRI to other modalities including surgical outcomesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-17Full publication date if available
- Authors
-
Varina L. Boerwinkle, Mary A. Nowlen, Jesus E. Vazquez, Martin Arhin, William Reuther, Emilio G. Cediel, Patrick J. McCarty, Iliana Manjón, Jubran H. Jubran, Ashley Guest, Kirsten D. Gillette, Frances M. Nowlen, Andrew R. Pines, Masoomeh Kazemi, Bahjat F. QaqishList of authors in order
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https://doi.org/10.17615/5sn8-3877Publisher landing page
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https://doi.org/10.17615/5sn8-3877Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.17615/5sn8-3877Direct OA link when available
- Concepts
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Resting state fMRI, Functional connectivity, Modalities, Meta-analysis, Psychology, Neuroscience, Audiology, Medicine, Internal medicine, Sociology, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.ratios, | 92 |
| abstract_inverted_index.rs-fMRI | 38, 147, 174, 239, 248, 279, 284 |
| abstract_inverted_index.seizure | 7 |
| abstract_inverted_index.studies | 219 |
| abstract_inverted_index.variety | 246 |
| abstract_inverted_index.EEG-fMRI | 132 |
| abstract_inverted_index.Overall, | 299 |
| abstract_inverted_index.Science, | 58 |
| abstract_inverted_index.analyses | 87 |
| abstract_inverted_index.analysis | 39, 139, 143, 159, 280 |
| abstract_inverted_index.articles | 112 |
| abstract_inverted_index.compared | 15, 254 |
| abstract_inverted_index.differed | 285 |
| abstract_inverted_index.epilepsy | 12 |
| abstract_inverted_index.evidence | 258 |
| abstract_inverted_index.localize | 5 |
| abstract_inverted_index.measured | 77 |
| abstract_inverted_index.methods. | 148 |
| abstract_inverted_index.modality | 287 |
| abstract_inverted_index.outcomes | 190, 291 |
| abstract_inverted_index.overcome | 50 |
| abstract_inverted_index.strength | 48 |
| abstract_inverted_index.studies. | 104 |
| abstract_inverted_index.subtypes | 250 |
| abstract_inverted_index.surgery, | 13 |
| abstract_inverted_index.surgical | 20, 123, 189, 290 |
| abstract_inverted_index.(rs-fMRI) | 3 |
| abstract_inverted_index.Agreement | 282 |
| abstract_inverted_index.agreement | 78, 99, 172, 193, 237, 264, 294 |
| abstract_inverted_index.analyses, | 276 |
| abstract_inverted_index.analyzing | 249 |
| abstract_inverted_index.component | 138 |
| abstract_inverted_index.criteria. | 117 |
| abstract_inverted_index.estimated | 205 |
| abstract_inverted_index.evaluated | 88, 231 |
| abstract_inverted_index.inclusion | 116 |
| abstract_inverted_index.outcomes, | 21 |
| abstract_inverted_index.predicted | 216 |
| abstract_inverted_index.screened. | 74 |
| abstract_inverted_index.subtypes, | 40 |
| abstract_inverted_index.SOZ-signal | 47 |
| abstract_inverted_index.agreement, | 33 |
| abstract_inverted_index.anatomical | 129 |
| abstract_inverted_index.attributed | 277, 310 |
| abstract_inverted_index.broadening | 35 |
| abstract_inverted_index.centrality | 232 |
| abstract_inverted_index.comparator | 177 |
| abstract_inverted_index.evaluating | 96 |
| abstract_inverted_index.functional | 1 |
| abstract_inverted_index.guidelines | 70 |
| abstract_inverted_index.modalities | 101, 119, 242 |
| abstract_inverted_index.population | 206 |
| abstract_inverted_index.seed-based | 142 |
| abstract_inverted_index.systematic | 169 |
| abstract_inverted_index.Comparative | 118 |
| abstract_inverted_index.Independent | 137 |
| abstract_inverted_index.Study-level | 149 |
| abstract_inverted_index.comparative | 41, 241, 252 |
| abstract_inverted_index.differences | 97, 170, 261, 314 |
| abstract_inverted_index.modalities, | 42, 253 |
| abstract_inverted_index.modalities. | 83, 317 |
| abstract_inverted_index.sensitivity | 208, 300 |
| abstract_inverted_index.significant | 161 |
| abstract_inverted_index.specificity | 210, 304 |
| abstract_inverted_index.characterize | 31 |
| abstract_inverted_index.comparisons, | 45 |
| abstract_inverted_index.intracranial | 17, 126 |
| abstract_inverted_index.variability. | 281 |
| abstract_inverted_index.Resting-state | 0 |
| abstract_inverted_index.between-study | 260 |
| abstract_inverted_index.heterogeneity | 89, 152, 234 |
| abstract_inverted_index.hypothesizing | 46 |
| abstract_inverted_index.respectively, | 187 |
| abstract_inverted_index.respectively. | 229 |
| abstract_inverted_index.same-modality | 44, 103, 168 |
| abstract_inverted_index.cross-modality | 166 |
| abstract_inverted_index.heterogeneity. | 52 |
| abstract_inverted_index.meta-analysis. | 25 |
| abstract_inverted_index.random-effects | 86, 158, 275 |
| abstract_inverted_index.non-duplicative | 111 |
| abstract_inverted_index.magnetoencephalography | 135 |
| abstract_inverted_index.SOZ-to-established-modalities | 72 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 15 |
| citation_normalized_percentile.value | 0.32644834 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |