Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
 
 
DownloadE-Mail
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  HiHi fMRI: A data-reordering method for measuring the hemodynamic response of the brain with high temporal resolution and high SNR

Nagy, Z., Hutton, C., David, G., Hinterholzer, N., Deichmann, R., Weiskopf, N., et al. (2023). HiHi fMRI: A data-reordering method for measuring the hemodynamic response of the brain with high temporal resolution and high SNR. Cerebral Cortex, 33(8), 4606-4611. doi:10.1093/cercor/bhac364.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-000B-2EE0-5 Versions-Permalink: https://hdl.handle.net/21.11116/0000-000D-0937-C
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Nagy_2022.pdf (Verlagsversion), 884KB
Öffnen   Speichern
Datei-Permalink:
https://hdl.handle.net/21.11116/0000-000B-2EE2-3
Name:
Nagy_2022.pdf
Beschreibung:
-
OA-Status:
Hybrid
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Öffnen
Copyright Datum:
-
Copyright Info:
-
Lizenz:
https://creativecommons.org/licenses/by/4.0/

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Nagy, Zoltan1, 2, Autor
Hutton, Chloe2, Autor
David, Gergely3, Autor
Hinterholzer, Natalie4, Autor
Deichmann, Ralf2, 5, Autor
Weiskopf, Nikolaus2, 6, Autor                 
Vannesjo, S. Johanna7, Autor
Affiliations:
1Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Switzerland, ou_persistent22              
2Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, United Kingdom, ou_persistent22              
3Balgrist Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland, ou_persistent22              
4Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist University Hospital, Zurich, Switzerland, ou_persistent22              
5Brain Imaging Center (BIC), Goethe University, Frankfurt, Germany, ou_persistent22              
6Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
7Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Hemodynamic response; SNR; fMRI; BOLD; Sampling rate
 Zusammenfassung: There is emerging evidence that sampling the blood-oxygen-level-dependent (BOLD) response with high temporal resolution opens up new avenues to study the in vivo functioning of the human brain with functional magnetic resonance imaging. Because the speed of sampling and the signal level are intrinsically connected in magnetic resonance imaging via the T1 relaxation time, optimization efforts usually must make a trade-off to increase the temporal sampling rate at the cost of the signal level. We present a method, which combines a sparse event-related stimulus paradigm with subsequent data reshuffling to achieve high temporal resolution while maintaining high signal levels (HiHi). The proof-of-principle is presented by separately measuring the single-voxel time course of the BOLD response in both the primary visual and primary motor cortices with 100-ms temporal resolution.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2022-08-192022-05-202022-08-222022-09-282023-04-15
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1093/cercor/bhac364
PMC: PMC10110425
PMID: 36169574
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : -
Grant ID : 091593/Z/10/Z; 079866/Z/06/Z
Förderprogramm : -
Förderorganisation : Wellcome Trust
Projektname : -
Grant ID : 616905
Förderprogramm : -
Förderorganisation : European Research Council (ERC)

Quelle 1

einblenden:
ausblenden:
Titel: Cerebral Cortex
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : Oxford University Press
Seiten: - Band / Heft: 33 (8) Artikelnummer: - Start- / Endseite: 4606 - 4611 Identifikator: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440