ArticleFrontiers in computational neuroscience2018
The Influence of Preprocessing Steps on Graph Theory Measures Derived from Resting State fMRI.
Article in Frontiers in computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
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- Influence of Functional Magnetic Resonance Imaging Data Preprocessing Pipelines on the Accuracy of Schizophrenia Classification Using Machine Learning Methods.Sovremennye tekhnologii v meditsine · 2026Article
- Investigating topological alterations in procedural memory network across neuropsychiatric disorders using rs-fMRI and graph theory.BMC neuroscience · 2025Article
- Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data.Neuroimage. Reports · 2025Article
- When no answer is better than a wrong answer: A causal perspective on batch effects.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Changes in Functional and Structural Brain Connectivity Following Bilateral Hand Transplantation.Neuroimage. Reports · 2024Article
- Sex classification from functional brain connectivity: Generalization to multiple datasets.Human brain mapping · 2024Article
- Abnormal brain activity in lumbar disc herniation patients with chronic pain is associated with their clinical symptoms.Frontiers in neuroscience · 2023Article
- Reorganization of the functional connectome from rest to a visual perception task in schizophrenia and bipolar disorder.Psychiatry research. Neuroimaging · 2022Article
- Temporal Dynamics of Resting-state Functional Networks and Cognitive Functioning following Systemic Treatment for Breast Cancer.Brain imaging and behavior · 2022Article
- Functional connectome of brainstem nuclei involved in autonomic, limbic, pain and sensory processing in living humans from 7 Tesla resting state fMRI.NeuroImage · 2022Article
- Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.Frontiers in systems neuroscience · 2022Article
- Spontaneous brain activity, graph metrics, and head motion related to prospective post-traumatic stress disorder trauma-focused therapy response.Frontiers in human neuroscience · 2022Article
- Mapping Domain- and Age-Specific Functional Brain Activity for Children's Cognitive and Affective Development.Neuroscience bulletin · 2021Article
- Resting-state networks in the course of aging-differential insights from studies across the lifespan vs. amongst the old.Pflugers Archiv : European journal of physiology · 2021Review
- Influence of structural and functional brain connectivity on age-related differences in fluid cognition.Neurobiology of aging · 2020Article
- Acquisition Duration in Resting-State Arterial Spin Labeling. How Long Is Enough?Frontiers in neuroscience · 2020Article
- The Modular Organization of Pain Brain Networks: An fMRI Graph Analysis Informed by Intracranial EEG.Cerebral cortex communications · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Resting state functional MRI (rs-fMRI) is an imaging technique that allows the spontaneous activity of the brain to be measured. Measures of functional connectivity highly depend on the quality of the BOLD signal data processing. In this study, our aim was to study the influence of preprocessing steps and their order of application on small-world topology and their efficiency in resting state fMRI data analysis using graph theory. We applied the most standard preprocessing steps: slice-timing, realign, smoothing, filtering, and the tCompCor method. In particular, we were interested in how preprocessing can retain the small-world economic properties and how to maximize the local and global efficiency of a network while minimizing the cost. Tests that we conducted in 54 healthy subjects showed that the choice and ordering of preprocessing steps impacted the graph measures. We found that the
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