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  Mapping short association fibers in the early cortical visual processing stream using in vivo diffusion tractography

Attar, F. M., Kirilina, E., Haenelt, D., Pine, K., Trampel, R., Edwards, L., et al. (2020). Mapping short association fibers in the early cortical visual processing stream using in vivo diffusion tractography. Cerebral Cortex, 30(8), 4496-4514. doi:10.1093/cercor/bhaa049.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-4707-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-D12C-6
Genre: Journal Article

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 Creators:
Attar, Fakhereh Movahedian1, Author           
Kirilina, Evgeniya1, 2, Author           
Haenelt, Daniel1, Author           
Pine, Kerrin1, Author           
Trampel, Robert1, Author           
Edwards, Luke1, Author           
Weiskopf, Nikolaus1, 3, Author           
Affiliations:
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Center for Cognitive Neuroscience Berlin (CCNB), FU Berlin, Germany, ou_persistent22              
3Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              

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Free keywords: U-fibers; Retinotopy; Subcortical; Submillimeter resolution; Superficial white matter
 Abstract: Short association fibers (U-fibers) connect proximal cortical areas and constitute the majority of white matter connections in the human brain. U-fibers play an important role in brain development, function, and pathology but are underrepresented in current descriptions of the human brain connectome, primarily due to methodological challenges in diffusion magnetic resonance imaging (dMRI) of these fibers. High spatial resolution and dedicated fiber and tractography models are required to reliably map the U-fibers. Moreover, limited quantitative knowledge of their geometry and distribution makes validation of U-fiber tractography challenging. Submillimeter resolution diffusion MRI-facilitated by a cutting-edge MRI scanner with 300 mT/m maximum gradient amplitude-was used to map U-fiber connectivity between primary and secondary visual cortical areas (V1 and V2, respectively) in vivo. V1 and V2 retinotopic maps were obtained using functional MRI at 7T. The mapped V1-V2 connectivity was retinotopically organized, demonstrating higher connectivity for retinotopically corresponding areas in V1 and V2 as expected. The results were highly reproducible, as demonstrated by repeated measurements in the same participants and by an independent replication group study. This study demonstrates a robust U-fiber connectivity mapping in vivo and is an important step toward construction of a more complete human brain connectome.

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Language(s): eng - English
 Dates: 2020-04-082020-08
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1093/cercor/bhaa049
PMID: 32297628
PMC: PMC7325803
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Project name : Non-Invasive In-Vivo Histology in Health and Disease Using Magnetic Resonance Imaging / HMRI
Grant ID : 616905
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Antibodies against Nogo-A to enhance plasticity, regeneration and functional recovery after acute spinal cord injury, a multicenter European clinical proof of concept trial / NISCI
Grant ID : 681094
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : -
Grant ID : 15.0137
Funding program : -
Funding organization : Swiss State Secretariat for Education, Research and Innovation (SERI)
Project name : Entschlüsselung der pathophysiologischen Prozesse induziert durch eine Querschnittlähmung: Anwendung von MRT basierter in vivo und ex vivo Histologie / hMRIofSCI
Grant ID : 01EW1711A; 01EW1711B
Funding program : ERA-NET NEURON
Funding organization : German Federal Ministry of Education and Research (BMBF)

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Title: Cerebral Cortex
Source Genre: Journal
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Pages: - Volume / Issue: 30 (8) Sequence Number: - Start / End Page: 4496 - 4514 Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440