Home > Publications Database > Whole-brain meso-vein imaging in living humans using fast 7-T MRI. > print

001     283181
005     20260129104044.0
024 7 _ |a 10.1126/sciadv.aea4540
|2 doi
024 7 _ |a pmid:41512066
|2 pmid
024 7 _ |a pmc:PMC12787541
|2 pmc
037 _ _ |a DZNE-2026-00060
041 _ _ |a English
082 _ _ |a 500
100 1 _ |a Gulban, Omer Faruk
|0 0000-0001-7761-3727
|b 0
245 _ _ |a Whole-brain meso-vein imaging in living humans using fast 7-T MRI.
260 _ _ |a Washington, DC [u.a.]
|c 2026
|b Assoc.
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1769601646_29847
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Noninvasive measurement of the human brain's angioarchitecture is essential for understanding functional neuroimaging signals, diagnosing cerebrovascular diseases, and tracking neurodegeneration. Ultrahigh-field MRI now enables mesoscopic (<0.5 millimeters) imaging, revealing vascular details previously inaccessible in vivo. Yet current approaches face two barriers: Scan times often exceed 40 minutes, and the conventional visualization methods remain limited for navigating the vasculature. Here, we present a fast whole-brain MRI protocol that resolves the venous network at 0.35 millimeters in under 7 minutes. We also introduce processing and visualization techniques that distinguish vessel types and more intuitively navigate the vasculature. These advances allow in vivo reproduction of the seminal vasculature images of Henri M. Duvernoy and provide whole-brain intracortical meso-vein maps in humans. Our methods lay the groundwork for detailed examination of vascular organization across individuals, brain regions, and cortical layers. More generally, these methods make mesoscopic imaging of angioarchitecture viable for broad neuroscientific and clinical applications.
536 _ _ |a 354 - Disease Prevention and Healthy Aging (POF4-354)
|0 G:(DE-HGF)POF4-354
|c POF4-354
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Brain: blood supply
|2 MeSH
650 _ 2 |a Brain: diagnostic imaging
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging: methods
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Neuroimaging: methods
|2 MeSH
650 _ 2 |a Image Processing, Computer-Assisted
|2 MeSH
650 _ 2 |a Cerebral Veins: diagnostic imaging
|2 MeSH
700 1 _ |a Stirnberg, Rüdiger
|0 P:(DE-2719)2810697
|b 1
700 1 _ |a Tse, Desmond Ho Yan
|0 0000-0003-2559-7707
|b 2
700 1 _ |a Pizzuti, Alessandra
|0 0000-0002-3311-9118
|b 3
700 1 _ |a Koiso, Kenshu
|0 0000-0001-5931-6294
|b 4
700 1 _ |a Archila-Melendez, Mario Eduardo
|0 0000-0002-2994-3067
|b 5
700 1 _ |a Huber, Laurentius Renzo
|0 0000-0002-3291-2202
|b 6
700 1 _ |a Bollmann, Saskia
|0 0000-0001-8242-8008
|b 7
700 1 _ |a Goebel, Rainer
|0 0000-0003-1780-2467
|b 8
700 1 _ |a Kay, Kendrick
|0 0000-0001-6604-9155
|b 9
700 1 _ |a Ivanov, Dimo
|0 0000-0001-9387-5823
|b 10
773 _ _ |a 10.1126/sciadv.aea4540
|g Vol. 12, no. 2, p. eaea4540
|0 PERI:(DE-600)2810933-8
|n 2
|p eaea4540
|t Science advances
|v 12
|y 2026
|x 2375-2548
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/283181/files/DZNE-2026-00060.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/283181/files/DZNE-2026-00060.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:283181
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 1
|6 P:(DE-2719)2810697
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-354
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Prevention and Healthy Aging
|x 0
914 1 _ |y 2026
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-18
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2024-12-18
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI ADV : 2022
|d 2024-12-18
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b SCI ADV : 2022
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-05-14T07:33:42Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-05-14T07:33:42Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-18
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-18
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-18
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-18
920 1 _ |0 I:(DE-2719)1013026
|k AG Stöcker
|l MR Physics
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1013026
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21