Accelerated Clustered Sparse Acquisition to Improve Functional MRI for Mapping Language Functions.
Adult
Auditory Perception
Brain
/ diagnostic imaging
Brain Mapping
/ methods
Brain Neoplasms
/ diagnostic imaging
Cluster Analysis
Female
Functional Laterality
Humans
Image Processing, Computer-Assisted
Language
Magnetic Resonance Imaging
/ methods
Male
Movement
Noise
Pilot Projects
Psychomotor Performance
Software
Tongue
/ diagnostic imaging
Young Adult
Journal
Journal of neurological surgery. Part A, Central European neurosurgery
ISSN: 2193-6323
Titre abrégé: J Neurol Surg A Cent Eur Neurosurg
Pays: Germany
ID NLM: 101580767
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
pubmed:
30
10
2019
medline:
12
9
2020
entrez:
30
10
2019
Statut:
ppublish
Résumé
Functional magnetic resonance imaging (fMRI) is a useful method for noninvasive presurgical functional mapping. However, the scanner environment is inherently unsuitable for the examination of auditory and language functions, due to the loud acoustic noise produced by the scanner. Interleaved acquisition methods alleviate this problem by providing a silent period for stimulus presentation and/or response control (sparse sampling) but at the expense of a diminished amount of data collected. There are possible improvements to these sparse acquisition methods that increase the amount of data by acquiring several images per event (clustered sampling). We tested accelerated clustered fMRI acquisition in comparison with conventional sparse sampling in a pilot study. The clustered and sparse acquisition techniques (7.4 minutes scanning time per protocol) were directly compared in 15 healthy subjects (8 men; mean age: 24 ± 3 years) using both a motor (tongue movement) and a language (overt picture-naming) task. Functional imaging data were analyzed using Statistical Parametric Mapping software (SPM12 Wellcome Department of Imaging Neuroscience, London, UK). For both tasks, activation levels were compared and Euclidean distances (EDs) between cluster centers (i.e., local activation maxima and centers of gravity) were calculated. Overlaps and laterality indices were computed for the picture-naming task. In addition, the feasibility of the clustered acquisition protocol in a clinical setting was assessed in one pilot patient. For both tasks, activation levels were higher using the clustered acquisition protocol, reflected by bigger cluster sizes ( Despite some drawbacks inherent to the acquisition technique, the clustered sparse sampling protocol showed increased sensitivity for activation in language-related cortical regions with short scanning times. Such scanning techniques may be particularly advantageous for investigating patients with contraindications for long scans (e.g., reduced attention span).
Sections du résumé
BACKGROUND
BACKGROUND
Functional magnetic resonance imaging (fMRI) is a useful method for noninvasive presurgical functional mapping. However, the scanner environment is inherently unsuitable for the examination of auditory and language functions, due to the loud acoustic noise produced by the scanner. Interleaved acquisition methods alleviate this problem by providing a silent period for stimulus presentation and/or response control (sparse sampling) but at the expense of a diminished amount of data collected. There are possible improvements to these sparse acquisition methods that increase the amount of data by acquiring several images per event (clustered sampling). We tested accelerated clustered fMRI acquisition in comparison with conventional sparse sampling in a pilot study.
METHODS
METHODS
The clustered and sparse acquisition techniques (7.4 minutes scanning time per protocol) were directly compared in 15 healthy subjects (8 men; mean age: 24 ± 3 years) using both a motor (tongue movement) and a language (overt picture-naming) task. Functional imaging data were analyzed using Statistical Parametric Mapping software (SPM12 Wellcome Department of Imaging Neuroscience, London, UK). For both tasks, activation levels were compared and Euclidean distances (EDs) between cluster centers (i.e., local activation maxima and centers of gravity) were calculated. Overlaps and laterality indices were computed for the picture-naming task. In addition, the feasibility of the clustered acquisition protocol in a clinical setting was assessed in one pilot patient.
RESULTS
RESULTS
For both tasks, activation levels were higher using the clustered acquisition protocol, reflected by bigger cluster sizes (
CONCLUSION
CONCLUSIONS
Despite some drawbacks inherent to the acquisition technique, the clustered sparse sampling protocol showed increased sensitivity for activation in language-related cortical regions with short scanning times. Such scanning techniques may be particularly advantageous for investigating patients with contraindications for long scans (e.g., reduced attention span).
Identifiants
pubmed: 31659723
doi: 10.1055/s-0039-1691821
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
95-104Informations de copyright
Georg Thieme Verlag KG Stuttgart · New York.
Déclaration de conflit d'intérêts
Carolin Weiss Lucas reports grants from University of Cologne, Faculty of Medicine, Gerok 8/2016, during the conduct of the study; grants from Gisela Hagemann Foundation, grants from International Foundations for Research in Paraplegia, and grants from Neurosurgery Research Foundation, outside the submitted work. The other authors have declared no conflicts of interest for this article.