Journal Article FZJ-2022-02079

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications

 ;  ;

2022
Frontiers Media SA Lausanne

Frontiers in neuroimaging 1, 869454 () [10.3389/fnimg.2022.869454]

This record in other databases:      

Please use a persistent id in citations:   doi:

Abstract: Over the past 30 years, brain function has primarily been evaluated non-invasively using functional magnetic resonance imaging (fMRI) with gradient-echo (GE) sequences to measure blood-oxygen-level-dependent (BOLD) signals. Despite the multiple advantages of GE sequences, e.g., higher signal-to-noise ratio, faster acquisitions, etc., their relatively inferior spatial localization compromises the routine use of GE-BOLD in laminar applications. Here, in an attempt to rescue the benefits of GE sequences, we evaluated the effect of existing pre-processing methods on the spatial localization of signals obtained with EPIK, a GE sequence that affords voxel volumes of 0.25 mm3 with near whole-brain coverage. The methods assessed here apply to both task and resting-state fMRI data assuming the availability of reconstructed magnitude and phase images.

Classification:

Contributing Institute(s):
  1. Physik der Medizinischen Bildgebung (INM-4)
  2. Jara-Institut Quantum Information (INM-11)
  3. Jülich-Aachen Research Alliance - Translational Brain Medicine (JARA-BRAIN)
Research Program(s):
  1. 5253 - Neuroimaging (POF4-525) (POF4-525)

Appears in the scientific report 2022
Database coverage:
Creative Commons Attribution CC BY 4.0 ; OpenAccess
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Institutssammlungen > INM > INM-11
Institutssammlungen > INM > INM-4
Workflowsammlungen > Öffentliche Einträge
Workflowsammlungen > Publikationsgebühren
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2022-05-04, letzte Änderung am 2025-09-12


OpenAccess:
Volltext herunterladen PDF
Externer link:
Volltext herunterladenFulltext by OpenAccess repository
Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)