ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017
Measuring functional connectivity in stroke: Approaches and considerations.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- Role of Contralesional Corticoreticulospinal Tract Compensation in Walking Function After Stroke.Brain and behavior · 2026Trial
- Diaschisis as Cerebello-Cortical Loop Dysfunction in Acute Ischemic Stroke: A Network Framework for Outcome Variability.Brain sciences · 2026Review
- White Matter Infarct Detection with Transformer and Auto-ML-Derived Models.Brain sciences · 2026Article
- Cortical functional hierarchy disruption following subcortical stroke.BMC medicine · 2026Article
- Dynamic Interactions Between Hemispheres Reveal a Compensatory Pathway for Motor Recovery in Moderate-to-Severe Subcortical Stroke.Journal of stroke · 2026Article
- Uncovering hidden pathways: structural brain networks under connected speech in post-stroke aphasia.Brain communications · 2026Article
- Test-retest reliability of edge-level resting-state functional connectivity in people with aphasia.Neuroimage. Reports · 2025Article
- Reorganized Functional Networks Underlie Working Memory Deficits After Right-Hemispheric Stroke.The European journal of neuroscience · 2025Article
- DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning.Nature methods · 2025Article
- Large-scale network topography of stroke predicts functional outcome after mechanical thrombectomy.Brain communications · 2025Article
- Evaluating lesion-specific preprocessing pipelines for rs-fMRI in stroke patients: Impact on functional connectivity and behavioral prediction.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Functional connectivity interacts with visual perceptual learning for visual field recovery in chronic stroke.Scientific reports · 2024Article
- Neuroimaging of neuropsychological disturbances following ischaemic stroke (CONNECT): a prospective cohort study protocol.BMJ open · 2024Article
- Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis.Journal of clinical medicine · 2023Article
- Reproducibility of cerebral perfusion measurements using BOLD delay.Human brain mapping · 2023Article
- Cortical connectivity in stroke using signals from resting-state EEG: a review of current literature.Acta neurologica Belgica · 2023Review
- Changes in Resting-State Neural Activity and Nerve Fibres in Ischaemic Stroke Patients with Hemiplegia.Brain topography · 2023Article
- Neuroimaging evidence supporting a dual-network architecture for the control of visuospatial attention in the human brain: a mini review.Frontiers in human neuroscience · 2023Review
- Exploring personalized structural connectomics for moderate to severe traumatic brain injury.Network neuroscience (Cambridge, Mass.) · 2023Article
- The functional and structural neural correlates of dynamic balance impairment and recovery in persons with acquired brain injury.Scientific reports · 2022Article
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Authors and funding
3 authors.
Funding
Abstract
Recent research has demonstrated the importance of global changes to the functional organization of brain network following stroke. Resting functional magnetic resonance imaging (R-fMRI) is a non-invasive tool that enables the measurement of functional connectivity (FC) across the entire brain while placing minimal demands on the subject. For these reasons, it is a uniquely appealing tool for studying the distant effects of stroke. However, R-fMRI studies rely on a number of premises that cannot be assumed without careful validation in the context of stroke. Here, we describe strategies to identify and mitigate confounds specific to R-fMRI research in cerebrovascular disease. Five main topics are discussed: (a) achieving adequate co-registration of lesioned brains, (b) identifying and removing hemodynamic lags in resting BOLD, (c) identifying other vascular disruptions that affect the resting BOLD signal, (d) selecting an appropriate control cohort, and (e) acquiring sufficient fMRI data to reliably identify FC changes. For each topic, we provide guidelines for steps to improve the interpretability and reproducibility of FC-stroke research. We include a table of confounds and approaches to identify and mitigate each. Our recommendations extend to any research using R-fMRI to study diseases that might alter cerebrovascular flow and dynamics or brain anatomy.
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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 OpenQuestion graph.