ArticleNeuroImage2017
Correspondence between fMRI and electrophysiology during visual motion processing in human MT.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Neural representations of the perception of handwritten digits and visual objects from a convolutional neural network compared to humans.Human brain mapping · 2023Article
- FMRI and intra-cranial electrocorticography recordings in the same human subjects reveals negative BOLD signal coupled with silenced neuronal activity.Brain structure & function · 2022Article
- Size of the spatial correlation between ECoG and fMRI activity.NeuroImage · 2021Article
- Multi-modal Mapping of the Face Selective Ventral Temporal Cortex-A Group Study With Clinical Implications for ECS, ECoG, and fMRI.Frontiers in human neuroscience · 2021Article
- Electrocorticography Evidence of Tactile Responses in Visual Cortices.Brain topography · 2020Article
- Towards an intuitive communication-BCI: decoding visually imagined characters from the early visual cortex using high-field fMRI.Biomedical physics & engineering express · 2019Article
- ALICE: A tool for automatic localization of intra-cranial electrodes for clinical and high-density grids.Journal of neuroscience methods · 2018Article
- Multimodal approaches to functional connectivity in autism spectrum disorders: An integrative perspective.Developmental neurobiology · 2018Review
- A non-invasive, quantitative study of broadband spectral responses in human visual cortex.PloS one · 2018Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Changes in brain neuronal activity are reflected by hemodynamic responses mapped through Blood Oxygenation Level Dependent (BOLD) functional magnetic resonance imaging (fMRI), a primary tool to measure brain functioning non-invasively. However, the exact relationship between hemodynamics and neuronal function is still a matter of debate. Here, we combine 3T BOLD fMRI and High Frequency Band (HFB) electrocorticography (ECoG) signals to investigate the relationship between neuronal activity and hemodynamic responses in the human Middle Temporal complex (hMT+), a higher order brain area involved in visual motion processing. We modulated the ECoG HFB and fMRI BOLD responses with a visual stimulus moving at different temporal frequencies, and compared measured BOLD responses to estimated BOLD responses that were predicted from the temporal profile of the HFB power change. We show that BOLD responses under an electrode over hMT+ can be well predicted not only be the strength of the neuronal response but also by the temporal profile of the HFB responses recorded by this electrode. Our results point to a linear relationship between BOLD and neuronal activity in hMT+, extending previous findings on primary cortex to higher order cortex.
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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.