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Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy
Noninvasive markers of brain function could yield biomarkers in many neurological disorders. Disease models constrained by coordinate-based meta-analysis are likely to increase this yield. Here, we evaluate a thalamic model of temporal lobe epilepsy that we proposed in a coordinate-based meta-analys...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300013/ https://www.ncbi.nlm.nih.gov/pubmed/25610790 http://dx.doi.org/10.1016/j.nicl.2014.08.002 |
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author | Barron, Daniel S. Fox, Peter T. Pardoe, Heath Lancaster, Jack Price, Larry R. Blackmon, Karen Berry, Kristen Cavazos, Jose E. Kuzniecky, Ruben Devinsky, Orrin Thesen, Thomas |
author_facet | Barron, Daniel S. Fox, Peter T. Pardoe, Heath Lancaster, Jack Price, Larry R. Blackmon, Karen Berry, Kristen Cavazos, Jose E. Kuzniecky, Ruben Devinsky, Orrin Thesen, Thomas |
author_sort | Barron, Daniel S. |
collection | PubMed |
description | Noninvasive markers of brain function could yield biomarkers in many neurological disorders. Disease models constrained by coordinate-based meta-analysis are likely to increase this yield. Here, we evaluate a thalamic model of temporal lobe epilepsy that we proposed in a coordinate-based meta-analysis and extended in a diffusion tractography study of an independent patient population. Specifically, we evaluated whether thalamic functional connectivity (resting-state fMRI-BOLD) with temporal lobe areas can predict seizure onset laterality, as established with intracranial EEG. Twenty-four lesional and non-lesional temporal lobe epilepsy patients were studied. No significant differences in functional connection strength in patient and control groups were observed with Mann-Whitney Tests (corrected for multiple comparisons). Notwithstanding the lack of group differences, individual patient difference scores (from control mean connection strength) successfully predicted seizure onset zone as shown in ROC curves: discriminant analysis (two-dimensional) predicted seizure onset zone with 85% sensitivity and 91% specificity; logistic regression (four-dimensional) achieved 86% sensitivity and 100% specificity. The strongest markers in both analyses were left thalamo-hippocampal and right thalamo-entorhinal cortex functional connection strength. Thus, this study shows that thalamic functional connections are sensitive and specific markers of seizure onset laterality in individual temporal lobe epilepsy patients. This study also advances an overall strategy for the programmatic development of neuroimaging biomarkers in clinical and genetic populations: a disease model informed by coordinate-based meta-analysis was used to anatomically constrain individual patient analyses. |
format | Online Article Text |
id | pubmed-4300013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-43000132015-01-21 Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy Barron, Daniel S. Fox, Peter T. Pardoe, Heath Lancaster, Jack Price, Larry R. Blackmon, Karen Berry, Kristen Cavazos, Jose E. Kuzniecky, Ruben Devinsky, Orrin Thesen, Thomas Neuroimage Clin Regular Article Noninvasive markers of brain function could yield biomarkers in many neurological disorders. Disease models constrained by coordinate-based meta-analysis are likely to increase this yield. Here, we evaluate a thalamic model of temporal lobe epilepsy that we proposed in a coordinate-based meta-analysis and extended in a diffusion tractography study of an independent patient population. Specifically, we evaluated whether thalamic functional connectivity (resting-state fMRI-BOLD) with temporal lobe areas can predict seizure onset laterality, as established with intracranial EEG. Twenty-four lesional and non-lesional temporal lobe epilepsy patients were studied. No significant differences in functional connection strength in patient and control groups were observed with Mann-Whitney Tests (corrected for multiple comparisons). Notwithstanding the lack of group differences, individual patient difference scores (from control mean connection strength) successfully predicted seizure onset zone as shown in ROC curves: discriminant analysis (two-dimensional) predicted seizure onset zone with 85% sensitivity and 91% specificity; logistic regression (four-dimensional) achieved 86% sensitivity and 100% specificity. The strongest markers in both analyses were left thalamo-hippocampal and right thalamo-entorhinal cortex functional connection strength. Thus, this study shows that thalamic functional connections are sensitive and specific markers of seizure onset laterality in individual temporal lobe epilepsy patients. This study also advances an overall strategy for the programmatic development of neuroimaging biomarkers in clinical and genetic populations: a disease model informed by coordinate-based meta-analysis was used to anatomically constrain individual patient analyses. Elsevier 2014-08-07 /pmc/articles/PMC4300013/ /pubmed/25610790 http://dx.doi.org/10.1016/j.nicl.2014.08.002 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). |
spellingShingle | Regular Article Barron, Daniel S. Fox, Peter T. Pardoe, Heath Lancaster, Jack Price, Larry R. Blackmon, Karen Berry, Kristen Cavazos, Jose E. Kuzniecky, Ruben Devinsky, Orrin Thesen, Thomas Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy |
title | Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy |
title_full | Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy |
title_fullStr | Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy |
title_full_unstemmed | Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy |
title_short | Thalamic functional connectivity predicts seizure laterality in individual TLE patients: Application of a biomarker development strategy |
title_sort | thalamic functional connectivity predicts seizure laterality in individual tle patients: application of a biomarker development strategy |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300013/ https://www.ncbi.nlm.nih.gov/pubmed/25610790 http://dx.doi.org/10.1016/j.nicl.2014.08.002 |
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