Reducing task-based fMRI scanning time using simultaneous multislice echo planar imaging

Máté Kiss, Petra Hermann, Zoltán Vidnyánszky, Viktor Gál

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Purpose: To maintain alertness and to remain motionless during scanning represent a substantial challenge for patients/subjects involved in both clinical and research functional magnetic resonance imaging (fMRI) examinations. Therefore, availability and application of new data acquisition protocols allowing the shortening of scan time without compromising the data quality and statistical power are of major importance. Methods: Higher order category-selective visual cortical areas were identified individually, and rapid event-related fMRI design was used to compare three different sampling rates (TR = 2000, 1000, and 410 ms, using state-of-the-art simultaneous multislice imaging) and four different scanning lengths to match the statistical power of the traditional scanning methods to high sampling-rate design. Results: The results revealed that ~ 4 min of the scan time with 1 Hz (TR = 1000 ms) sampling rate and ~ 2 min scanning at ~ 2.5 Hz (TR = 410 ms) sampling rate provide similar localization sensitivity and selectivity to that obtained with 11-min session at conventional, 0.5 Hz (TR = 2000 ms) sampling rate. Conclusion: Our findings suggest that task-based fMRI examination of clinical population prone to distress such as presurgical mapping experiments might substantially benefit from the reduced (20–40%) scanning time that can be achieved by the application of simultaneous multislice sequences.

Original languageEnglish
Pages (from-to)293-302
Number of pages10
JournalNeuroradiology
Volume60
Issue number3
DOIs
Publication statusPublished - Mar 1 2018

Keywords

  • Eloquent areas
  • Presurgical functional MRI
  • Simultaneous multislice technique
  • Surgical planning
  • Thresholding
  • fMRI efficiency

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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