ArticleFrontiers in neuroscience2014
Cortical connective field estimates from resting state fMRI activity.
Article in Frontiers in neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 53 citations in OpenAlex.
- UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity.Nature communications · 2026Article
- Article
- Use of functional magnetic resonance imaging in the evaluation of neural plasticity in macular degeneration.Frontiers in neuroscience · 2025Review
- Functional MRI in optic neuritis: insights into cortical modulation and possible recovery mechanisms.Frontiers in neurology · 2025Review
- Retinotopic connectivity maps of human visual cortex with unconstrained eye movements.Human brain mapping · 2023Article
- Topographic connectivity reveals task-dependent retinotopic processing throughout the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Assessing Uncertainty and Reliability of Connective Field Estimations From Resting State fMRI Activity at 3T.Frontiers in neuroscience · 2021Article
- Convergence Along the Visual Hierarchy Is Altered in Posterior Cortical Atrophy.Investigative ophthalmology & visual science · 2020Article
- Investigating the Reliability of Population Receptive Field Size Estimates Using fMRI.Frontiers in neuroscience · 2020Article
- Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations.Frontiers in human neuroscience · 2019Review
- Studying Cortical Plasticity in Ophthalmic and Neurological Disorders: From Stimulus-Driven to Cortical Circuitry Modeling Approaches.Neural plasticity · 2019Review
- Stimulus- and Neural-Referred Visual Receptive Field Properties following Hemispherectomy: A Case Study Revisited.Neural plasticity · 2019Article
- Partial correlation analysis reveals abnormal retinotopically organized functional connectivity of visual areas in amblyopia.NeuroImage. Clinical · 2018Article
- Top-down cortical interactions in visuospatial attention.Brain structure & function · 2017Article
- Spontaneous activity in the visual cortex is organized by visual streams.Human brain mapping · 2017Article
- Towards a fourth spatial dimension of brain activity.Cognitive neurodynamics · 2016Review
- Preserved retinotopic brain connectivity in macular degeneration.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2016Article
- Resting-State Retinotopic Organization in the Absence of Retinal Input and Visual Experience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Widespread correlation patterns of fMRI signal across visual cortex reflect eccentricity organization.eLife · 2015Article
- The Brain Activity in Brodmann Area 17: A Potential Bio-Marker to Predict Patient Responses to Antiepileptic Drugs.PloS one · 2015Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One way to study connectivity in visual cortical areas is by examining spontaneous neural activity. In the absence of visual input, such activity remains shaped by the underlying neural architecture and, presumably, may still reflect visuotopic organization. Here, we applied population connective field (CF) modeling to estimate the spatial profile of functional connectivity in the early visual cortex during resting state functional magnetic resonance imaging (RS-fMRI). This model-based analysis estimates the spatial integration between blood-oxygen level dependent (BOLD) signals in distinct cortical visual field maps using fMRI. Just as population receptive field (pRF) mapping predicts the collective neural activity in a voxel as a function of response selectivity to stimulus position in visual space, CF modeling predicts the activity of voxels in one visual area as a function of the aggregate activity in voxels in another visual area. In combination with pRF mapping, CF locations on the cortical surface can be interpreted in visual space, thus enabling reconstruction of visuotopic maps from resting state data. We demonstrate that V1 ➤ V2 and V1 ➤ V3 CF maps estimated from resting state fMRI data show visuotopic organization. Therefore, we conclude that-despite some variability in CF estimates between RS scans-neural properties such as CF maps and CF size can be derived from resting state data.
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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.