Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1101/2021.10.18.464713
Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem co-expression patterns of epilepsy risk genes. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1,328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE showed decreased clustering and path length in fronto-temporo-parietal cortices, indicating a random network configuration. Syndrome-specific topological alterations reflected expression patterns of risk genes for hippocampal sclerosis in TLE and for generalized epilepsy in IGE. These imaging-genetic signatures could guide diagnosis, and ultimately, tailor therapeutic approaches to specific epilepsy syndromes.
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- Type
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- https://doi.org/10.1101/2021.10.18.464713
- https://www.biorxiv.org/content/biorxiv/early/2021/10/19/2021.10.18.464713.full.pdf
- OA Status
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- References
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- OpenAlex ID
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Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA studyWork title
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preprintOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
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2021-10-19Full publication date if available
- Authors
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Sara Larivière, Jessica Royer, Raúl Rodríguez‐Cruces, Maria Eugenia Caligiuri, Antonio Gambardella, Luis Concha, Simon S. Keller, Fernando Cendes, Clarissa Lin Yasuda, Leonardo Bonilha, Ezequiel Gleichgerrcht, Niels K. Focke, Martin Domín, Felix von Podewills, Sönke Langner, Christian Rummel, Roland Wiest, Pascal Martin, Raviteja Kotikalapudi, Terence J. O’Brien, Benjamin Sinclair, Lucy Vivash, Patricia Desmond, Elaine Lui, Anna Elisabetta Vaudano, Stefano Meletti, Manuela Tondelli, Saud Alhusaini, Colin P. Doherty, Gianpiero L. Cavalleri, Norman Delanty, Reetta Kälviäinen, Graeme D. Jackson, Magdalena Kowalczyk, Mario Mascalchi, Mira Semmelroch, Rhys H. Thomas, Hamid Soltanian‐Zadeh, Esmaeil Davoodi‐Bojd, Junsong Zhang, Barbara A. K. Kreilkamp, Matteo Lenge, Renzo Guerrini, Khalid Hamandi, Sonya Foley, Theodor Rüber, Bernd Weber, Chantal Depondt, Julie Absil, Sarah J. A. Carr, Eugenio Abela, Mark P. Richardson, Orrin Devinsky, Mariasavina Severino, Pasquale Striano, Domenico Tortora, Sean N. Hatton, Sjoerd B. Vos, Lorenzo Caciagli, John S. Duncan, Christopher D. Whelan, Paul M. Thompson, Sanjay M. Sisodiya, Andrea Bernasconi, Angelo Labate, Carrie R. McDonald, Neda Bernasconi, Boris C. BernhardtList of authors in order
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https://www.biorxiv.org/content/biorxiv/early/2021/10/19/2021.10.18.464713.full.pdfDirect link to full text PDF
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2021/10/19/2021.10.18.464713.full.pdfDirect OA link when available
- Concepts
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Epilepsy, Hippocampal sclerosis, Temporal lobe, Neuroscience, Epilepsy syndromes, Psychology, MedicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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97Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Graph | 71 |
| abstract_inverted_index.These | 135 |
| abstract_inverted_index.could | 138 |
| abstract_inverted_index.genes | 123 |
| abstract_inverted_index.guide | 139 |
| abstract_inverted_index.shift | 93 |
| abstract_inverted_index.study | 24 |
| abstract_inverted_index.(IGE), | 62 |
| abstract_inverted_index.(TLE), | 55 |
| abstract_inverted_index.adults | 50, 57 |
| abstract_inverted_index.genes. | 44 |
| abstract_inverted_index.length | 83, 106 |
| abstract_inverted_index.people | 98 |
| abstract_inverted_index.random | 112 |
| abstract_inverted_index.remain | 19 |
| abstract_inverted_index.showed | 101 |
| abstract_inverted_index.tailor | 143 |
| abstract_inverted_index.between | 13 |
| abstract_inverted_index.centres | 69 |
| abstract_inverted_index.factors | 6 |
| abstract_inverted_index.genetic | 4 |
| abstract_inverted_index.healthy | 65 |
| abstract_inverted_index.network | 9, 46, 95, 113 |
| abstract_inverted_index.regions | 88 |
| abstract_inverted_index.related | 35 |
| abstract_inverted_index.towards | 94 |
| abstract_inverted_index.Epilepsy | 0 |
| abstract_inverted_index.analysis | 47, 73 |
| abstract_inverted_index.controls | 66 |
| abstract_inverted_index.epilepsy | 33, 42, 54, 61, 132, 148 |
| abstract_inverted_index.examined | 25 |
| abstract_inverted_index.findings | 36 |
| abstract_inverted_index.included | 48 |
| abstract_inverted_index.networks | 29, 77 |
| abstract_inverted_index.patients | 31 |
| abstract_inverted_index.patterns | 40, 120 |
| abstract_inverted_index.revealed | 78 |
| abstract_inverted_index.specific | 147 |
| abstract_inverted_index.temporal | 52, 87 |
| abstract_inverted_index.unclear. | 20 |
| abstract_inverted_index.cortices, | 109 |
| abstract_inverted_index.decreased | 102 |
| abstract_inverted_index.increased | 79 |
| abstract_inverted_index.multisite | 22 |
| abstract_inverted_index.reflected | 118 |
| abstract_inverted_index.sclerosis | 126 |
| abstract_inverted_index.approaches | 145 |
| abstract_inverted_index.associated | 2 |
| abstract_inverted_index.clustering | 80, 103 |
| abstract_inverted_index.covariance | 28, 76 |
| abstract_inverted_index.diagnosis, | 140 |
| abstract_inverted_index.expression | 119 |
| abstract_inverted_index.idiopathic | 59 |
| abstract_inverted_index.indicating | 110 |
| abstract_inverted_index.macroscale | 17 |
| abstract_inverted_index.mechanisms | 15 |
| abstract_inverted_index.postmortem | 38 |
| abstract_inverted_index.signatures | 137 |
| abstract_inverted_index.structural | 27, 75 |
| abstract_inverted_index.suggesting | 91 |
| abstract_inverted_index.syndromes. | 149 |
| abstract_inverted_index.worldwide. | 70 |
| abstract_inverted_index.Conversely, | 97 |
| abstract_inverted_index.alterations | 117 |
| abstract_inverted_index.generalized | 60, 131 |
| abstract_inverted_index.hippocampal | 125 |
| abstract_inverted_index.theoretical | 72 |
| abstract_inverted_index.therapeutic | 144 |
| abstract_inverted_index.topological | 116 |
| abstract_inverted_index.ultimately, | 142 |
| abstract_inverted_index.whole-brain | 26 |
| abstract_inverted_index.alterations, | 10 |
| abstract_inverted_index.associations | 12 |
| abstract_inverted_index.connectomics | 18 |
| abstract_inverted_index.co-expression | 39 |
| abstract_inverted_index.orbitofrontal | 85 |
| abstract_inverted_index.configuration. | 114 |
| abstract_inverted_index.ENIGMA-Epilepsy | 23 |
| abstract_inverted_index.imaging-genetic | 136 |
| abstract_inverted_index.neurobiological | 14 |
| abstract_inverted_index.regularization. | 96 |
| abstract_inverted_index.Syndrome-specific | 115 |
| abstract_inverted_index.cortico-subcortical | 8 |
| abstract_inverted_index.fronto-temporo-parietal | 108 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5005096130, https://openalex.org/A5061281877 |
| countries_distinct_count | 14 |
| institutions_distinct_count | 68 |
| corresponding_institution_ids | https://openalex.org/I1292859797, https://openalex.org/I5023651 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7400000095367432 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.1370018 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |