The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Advanced lesion symptom mapping analyses and implementation as BCBtoolkit
Open accessAbstract
Background: Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity. For instance, category fluency requires the associations between executive, semantic, and language production functions. Findings: Here, we provide, for the first time, a set of complementary solutions for measuring the impact of a given lesion on the neuronal circuits. Our methods, which were applied to 37 patients with a focal frontal brain lesions, revealed a large set of directly and indirectly disconnected brain regions that had significantly impacted category fluency performance. The directly disconnected regions corresponded to areas that are classically considered as functionally engaged in verbal fluency and categorization tasks. These regions were also organized into larger directly and indirectly disconnected functional networks, including the left ventral fronto-parietal network, whose cortical thickness correlated with performance on category fluency. Conclusions: The combination of structural and functional connectivity together with cortical thickness estimates reveal the remote effects of brain lesions, provide for the identification of the affected networks, and strengthen our understanding of their relationship with cognitive and behavioral measures. The methods presented are available and freely accessible in the BCBtoolkit as supplementary software [1].
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Cited by
Alves, P. N., Foulon, C., Karolis, V., Bzdok, D., Margulies, D. S., Volle, E., & Thiebaut de Schotten, M. (2019) · Communications Biology · doi:10.1038/s42003-019-0611-3 · Cited by 357
Self-citationStructural disconnections explain brain network dysfunction after stroke
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Chiesa, P. A., Cavedo, E., Vergallo, A., Lista, S., Potier, M., Habert, M., Dubois, B., Thiebaut de Schotten, M., Hampel, H., and the INSIGHT‐preAD study group, et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.03.006 · Cited by 66
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Bassolino, M., Franza, M., Guanziroli, E., Sorrentino, G., Canzoneri, E., Colombo, M., Crema, A., Bertoni, T., Mastria, G., Vissani, M., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac179 · Cited by 36
Metadata
- Authors
- Foulon, C., Cerliani, L., Kinkingnéhun, S., Levy, R., Rosso, C., Urbanski, M., Volle, E., & Thiebaut de Schotten, M.
- Venue
- GigaScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-02-08
- Volume
- 7
- Issue
- 3
- Pages
- 1-17
- ISSN
- 2047-217X (ISSN-L)
- OpenAlex
- W2949310792
- Cited by
- 356
- References
- 18
- FWCI
- 19.23
- Type
- journal article
- Language
- en
- Open access
- gold
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