ArticleFrontiers in neuroscience2019
The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed.
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- Brain functional connectivity analysis of fMRI-based Alzheimer's disease data.Frontiers in medicine · 2025Article
- Replicability of a resting-state functional connectivity study in profound early blindness.Frontiers in systems neuroscience · 2025Article
- Impact of data processing varieties on DCM estimates of effective connectivity from task-fMRI.Human brain mapping · 2024Article
- Limited but specific engagement of the mature language network during linguistic statistical learning.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Recommended Resting-State fMRI Acquisition and Preprocessing Steps for Preoperative Mapping of Language and Motor and Visual Areas in Adult and Pediatric Patients with Brain Tumors and Epilepsy.AJNR. American journal of neuroradiology · 2024Article
- The effect of deep magnetic stimulation on the cardiac-brain axis post-sleep deprivation: a pilot study.Frontiers in neuroscience · 2024Article
- fMRI-based Alzheimer's disease detection via functional connectivity analysis: a systematic review.PeerJ. Computer science · 2024Article
- Functional connectivity patterns in parosmia.Behavioral and brain functions : BBF · 2023Article
- The neurocognitive impact of loneliness and social networks on social adaptation.Scientific reports · 2023Article
- Random matrix theory tools for the predictive analysis of functional magnetic resonance imaging examinations.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Intrinsic neural timescales in autism spectrum disorder and schizophrenia. A replication and direct comparison study.Schizophrenia (Heidelberg, Germany) · 2023Article
- Independent component analysis: a reliable alternative to general linear model for task-based fMRI.Frontiers in psychiatry · 2023Article
- Landmark-guided region-based spatial normalization for functional magnetic resonance imaging.Human brain mapping · 2022Article
- NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline.Frontiers in neuroinformatics · 2022Article
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2 authors.
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Abstract
Due to the nature of fMRI acquisition protocols, slices cannot be acquired simultaneously, and as a result, are temporally misaligned from each other. To correct from this misalignment, preprocessing pipelines often incorporate slice timing correction (STC). However, evaluating the benefits of STC is challenging because it (1) is dependent on slice acquisition parameters, (2) interacts with head movement in a non-linear fashion, and (3) significantly changes with other preprocessing steps, fMRI experimental design, and fMRI acquisition parameters. Presently, the interaction of STC with various scan conditions has not been extensively examined. Here, we examine the effect of STC when it is applied with various other preprocessing steps such as motion correction (MC), motion parameter residualization (MPR), and spatial smoothing. Using 180 simulated and 30 real fMRI data, we quantitatively demonstrate that the optimal order in which STC should be applied depends on interleave parameters and motion level. We also demonstrate the benefit STC on sub-second-TR scans and for functional connectivity analysis. We conclude that STC is a critical part of the preprocessing pipeline that can be extremely beneficial for fMRI processing. However, its effectiveness interacts with other preprocessing steps and with other scan parameters and conditions which may obscure its significant importance in the fMRI processing pipeline.
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