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  Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain

Delettre, C., Messé, A., Dell, L.-A., Foubet, O., Heuer, K., Larrat, B., et al. (2019). Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain. Network Neuroscience, 3(4), 1038-1050. doi:10.1162/netn_a_00098.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0004-F889-A Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-A2E3-3
Genre: Zeitschriftenartikel

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Delettre_2019.pdf (Verlagsversion), 445KB
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Delettre, Céline1, 2, 3, Autor
Messé, Arnaud2, Autor
Dell, Leigh-Anne2, Autor
Foubet, Ophélie1, Autor
Heuer, Katja1, 4, Autor           
Larrat, Benoit5, Autor
Meriaux, Sebastien5, Autor
Mangin, Jean-Francois5, Autor
Reillo, Isabel6, Autor
de Juan Romero, Camino6, Autor
Borrell, Victor6, Autor
Toro, Roberto1, 7, Autor
Hilgetag, Claus C.2, 8, Autor
Affiliations:
1Department of Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France, ou_persistent22              
2Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
3Université Paris Diderot, France, ou_persistent22              
4Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
5Neurospin, French Alternative Energies and Atomic Energy Commission (CEA), Saclay, France, ou_persistent22              
6Developmental Neurobiology Unit, Institute of Neuroscience, Universidad Miguel Hernández, Sant Joan d’Alacant, Spain, ou_persistent22              
7Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, France, ou_persistent22              
8Department of Health Sciences, Boston University, MA, USA, ou_persistent22              

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Schlagwörter: Validation; Diffusion MRI; Tractography; Tract-tracing; Structural connectivity; Ferret
 Zusammenfassung: The anatomical wiring of the brain is a central focus in network neuroscience. Diffusion MRI tractography offers the unique opportunity to investigate the brain fiber architecture in vivo and noninvasively. However, its reliability is still highly debated. Here, we explored the ability of diffusion MRI tractography to match invasive anatomical tract-tracing connectivity data of the ferret brain. We also investigated the influence of several state-of-the-art tractography algorithms on this match to ground truth connectivity data. Tract-tracing connectivity data were obtained from retrograde tracer injections into the occipital, parietal, and temporal cortices of adult ferrets. We found that the relative densities of projections identified from the anatomical experiments were highly correlated with the estimates from all the studied diffusion tractography algorithms (Spearman’s rho ranging from 0.67 to 0.91), while only small, nonsignificant variations appeared across the tractography algorithms. These results are comparable to findings reported in mouse and monkey, increasing the confidence in diffusion MRI tractography results. Moreover, our results provide insights into the variations of sensitivity and specificity of the tractography algorithms, and hence into the influence of choosing one algorithm over another.

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Sprache(n): eng - English
 Datum: 2019-09-23
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1162/netn_a_00098
Anderer: eCollection 2019
PMID: 31637337
PMC: PMC6777980
 Art des Abschluß: -

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Projektname : Funktionelle Kopplung neuronaler Aktivität im ZNS / SFB 936
Grant ID : -
Förderprogramm : -
Förderorganisation : Deutsche Forschungsgemeinschaft (DFG)
Projektname : Computational Connectomics / SPP 2041
Grant ID : HI 1286/6-1
Förderprogramm : -
Förderorganisation : Deutsche Forschungsgemeinschaft (DFG)
Projektname : Human Brain Project Specific Grant Agreement 2 / HBP SGA2
Grant ID : -
Förderprogramm : Horizon 2020
Förderorganisation : European Commission (EC)
Projektname : -
Grant ID : ANR-15-HBPR-0005
Förderprogramm : -
Förderorganisation : Agence Nationale de la Recherche (ANR)

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Titel: Network Neuroscience
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Cambridge, MA : MIT Press
Seiten: - Band / Heft: 3 (4) Artikelnummer: - Start- / Endseite: 1038 - 1050 Identifikator: ISSN: 2472-1751
CoNE: https://pure.mpg.de/cone/journals/resource/2472-1751