FMRIPrep: a robust preprocessing pipeline for functional MRI
Explore this paper's citation graph
- Type
- article
- Published
- 2018-05-06
- Cited by
- 3,685
- References
- 120
- Access
- Open access
- OpenAlex
- https://openalex.org/W2951583631
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54463721
Keywords
Preprocessor, Computer science, Workflow, Interpretability, Pipeline (software)
References
- Awake, Offline Processing during Associative Learning
- fMRI Techniques and Protocols
- Understanding Brains: Details, Intuition, and Big Data
- Statistical Parametric Mapping: The Analysis of Functional Brain Images
- Functional system and areal organization of a highly sampled individual human brain
- The human voice areas: Spatial organization and inter-individual variability in temporal and extra-temporal cortices
- Progress and challenges in probing the human brain
- Learning from the other limb's experience: sharing the ‘trained’ M1 representation of the motor sequence knowledge
- Competition between functional brain networks mediates behavioral variability
- Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
- Methods to detect, characterize, and remove motion artifact in resting state fMRI
- Long-term test-retest reliability of functional MRI in a classification learning task
- The Minimal Preprocessing Pipelines for the Human Connectome Project
- Developmental changes in brain function underlying the influence of reward processing on inhibitory control
- Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
- Social-cognitive deficits in normal aging
- Brain Network Connectivity in Individuals with Schizophrenia and their Siblings
- Modafinil Alters Intrinsic Functional Connectivity of the Right Posterior Insula: A Pharmacological Resting State fMRI Study
- Accurate and Robust Brain Image Alignment using Boundary-based Registration
- The Human Connectome Project: A data acquisition perspective
Cited by
- Intersubject MVPD: Empirical comparison of fMRI denoising methods for connectivity analysis
- The lexical categorization model: A computational model of left ventral occipito-temporal cortex activation in visual word recognition
- Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
- GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures.
- Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies
- Cluster Failure Revisited: Impact of First Level Design and Physiological Noise on Cluster False Positive Rates
- Dopaminergic medication reduces striatal sensitivity to negative outcomes in Parkinson’s disease
- A Comprehensive Framework to Capture the Arcana of Neuroimaging Analysis
- The neuropsychopharmacology of cannabis: A review of human imaging studies
- The Blind Men and the Elephant: The Quest for Open Data Repositories.
- A framework for evaluating correspondence between brain images using anatomical fiducials
- Mitigating head motion artefact in functional connectivity MRI
- ciftify: A framework for surface-based analysis of legacy MR acquisitions
- Human sequence learning involves creating new neural representations not strengthening old ones
- Eigenvector centrality mapping for ultrahigh resolution fMRI data of the human brain
- Reliability starts with the experimental tools employed.
- Enhanced bottom-up and reduced top-down neural mechanisms drive long-lasting non-reinforced behavioral change
- Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis
- Cortico-hippocampal network connections support the multidimensional quality of episodic memory
- P.3.07 Targeting emotional dysregulation in adult attention-deficit hyperactivity disorder
Related papers
- Road Accident Data Analysis: Data Preprocessing for Better Model Building
- Research and Application on Spatial Data Preprocessing Techniques in Logistics Area
- Data preprocessing based on missing value and discretisation
- Influence of Data Preprocessing
- Data preprocessing based on missing value and discretisation
- A Study on the TCM-KNN Algorithm Based Data Preprocessing Problem
- Study of Preprocessing Method of Oceanographic Hydrological Data