ArticleFrontiers in neuroimaging2022
A functional MRI pre-processing and quality control protocol based on statistical parametric mapping (SPM) and MATLAB.
Article in Frontiers in neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- From convergence insufficiency to functional reorganization: A longitudinal randomized controlled trial of treatment-induced connectivity plasticity.CNS neuroscience & therapeutics · 2024Trial
- Brain Graph Sparsification for fMRI-based Connectome Analysis: A Methodological Review.Neuroinformatics · 2026Review
- Data-driven schizophrenia subtyping via brain atrophy trajectories and functional connectivity.Translational psychiatry · 2026Article
- Prediction of depression development in Parkinson's disease patients: a radiomics-based machine learning study.BMC neurology · 2026Article
- Unique Amygdala Signatures and Shared Prefrontal Deficits in Autism: Mapping Social Heterogeneity via Naturalistic functional Magnetic Resonance Imaging.bioRxiv : the preprint server for biology · 2026Article
- Dynamic functional reorganization in post-stroke aphasia: a state-of-the-art fMRI review from disease evolution to intervention.Frontiers in neuroscience · 2026Review
- Multimodal neuroimaging protocol to explore the neural mechanisms of Tiao Shen Li Yan acupuncture in post-stroke dysphagia: a randomized sham-controlled clinical trial.Frontiers in neurology · 2026Article
- fMRI-based prediction of eye gaze during naturalistic movie viewing reveals eye-movement-related brain activity.Psychoradiology · 2026Review
- Neuroradiological features across major psychiatric disorders and behavioral variant of Alzheimer's disease: a concise multimodal synthesis.Psychoradiology · 2026Review
- Neurobehavioral correlates of inhibitory control in youth at-risk for early low-level alcohol use initiation: neuroimaging findings from the ABCD study.Frontiers in psychiatry · 2026Article
- Vestibular-Visual Reweighting in Persistent Postural-Perceptual Dizziness: A Multilevel Resting-State fMRI Study.Neural plasticity · 2026Article
- Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer's disease diagnosis across diverse populations.Scientific reports · 2025Article
- CoSpine open access simultaneous cortico-spinal fMRI database of thermal pain and motor tasks.Scientific data · 2025Article
- Investigating topological alterations in procedural memory network across neuropsychiatric disorders using rs-fMRI and graph theory.BMC neuroscience · 2025Article
- Neural correlates of span capacity during visual discrimination under varying cognitive demands.Scientific reports · 2025Article
- Differences in Anatomical Structures and Resting-State Brain Networks Between Elite Wrestlers and Handball Athletes.Brain sciences · 2025Article
- Robust automated preclinical fMRI preprocessing via a multi-stage dilated convolutional Swin Transformer affine registration.Frontiers in neuroscience · 2025Article
- An fMRI study of crossmodal emotional congruency and the role of semantic content in the aesthetic appreciation of naturalistic art.Frontiers in neuroscience · 2025Article
- Personalized neural responses to self and filial reward: Functional and structural responses to motivational cues.AIMS neuroscience · 2025Article
- WhiFuN: A toolbox to map the white matter functional networks of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
2 authors.
Funding
Abstract
Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing steadily, and growing studies are sourced from open-access brain imaging repositories. Quality control becomes critical to ensure successful data processing and valid statistical results. Here, we outline a simple protocol for fMRI data pre-processing and quality control based on statistical parametric mapping (SPM) and MATLAB. The focus of this protocol is not only to identify and remove data with artifacts and anomalies, but also to ensure the processing has been performed properly. We apply this protocol to the data from fMRI Open quality control (QC) Project, and illustrate how each quality control step can help to identify potential issues. We also show that simple steps such as skull stripping can improve coregistration between the functional and anatomical images.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.