Cited by 43Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsOptical Imaging and Spectroscopy Techniques

A rapid-onset diffusion functional MRI signal reflects neuromorphological coupling dynamics

Open access
Nunes, Daniel, Gil, Rita, Shemesh, Noam·2021·NeuroImage

Abstract

Functional Magnetic Resonance Imaging (fMRI) has transformed our understanding of brain function in-vivo. However, the neurovascular coupling mechanisms underlying fMRI are somewhat "distant" from neural activity. Interestingly, evidence from Intrinsic Optical Signals (IOSs) indicates that neural activity is also coupled to (sub)cellular morphological modulations. Diffusion-weighted functional MRI (dfMRI) experiments have been previously proposed to probe such neuromorphological couplings, but the underlying mechanisms have remained highly contested. Here, we provide the first direct link between in vivo ultrafast dfMRI signals upon rat forepaw stimulation and IOSs in acute slices stimulated optogenetically. We reveal a hitherto unreported rapid onset (<100 ms) dfMRI signal component which (i) agrees with fast-rising IOSs dynamics; (ii) evidences a punctate quantitative correspondence to the stimulation period; and (iii) is rather insensitive to a vascular challenge. Our findings suggest that neuromorphological coupling can be detected via dfMRI signals, auguring well for future mapping of neural activity more directly compared with blood-oxygenation-level-dependent mechanisms.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2021.117862

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • This raises the prospect of resolving finer-scale organization, such as cortical layers or closely interwoven circuits, and of probing faster neural dynamics.

    “This raises the prospect of resolving finer-scale organization, such as cortical layers or closely interwoven circuits, and of probing faster neural dynamics (Nunes et al., 2021).”

    From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Nunes et al., 2021

    The Introduction and Discussion report a rapid-onset dfMRI component detected with 100 ms temporal resolution, supporting the prospect of probing faster dynamics. The Methods describe 85 µm resolution along the scanned line, and Figure 2 maps signals across cortical depth with layers I–VI marked. These findings support the prospect of finer-scale mapping, but the paper does not establish that the approach can distinguish closely interwoven circuits. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Preclinical work suggests that some biomechanical changes occur faster than BOLD responses, in a similar way to DfMRI.

    “Preclinical work suggests that some biomechanical changes occur faster than BOLD responses, in a similar way to DfMRI (Nunes et al., 2021; Patz et al., 2019; Tsurugizawa et al., 2013).”

    From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Nunes et al., 2021

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 14

  1. Ogawa, S. , et al. , 1992. Intrinsic signal changes accompanying sensory stimulation: func- tional brain mapping with magnetic resonance imaging. Proc. Natl. Acad. Sci. U. S. A. 89, 5951-5955 .
  2. Tian, P. , et al. , 2010. Cortical depth-specific microvascular dilation underlies laminar differences in blood oxygenation level-dependent functional MRI signal. Proc. Natl. Acad. Sci. 107, 15246-15251 .
  3. Devor, A. , et al. , 2005. Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity. Proc. Natl. Acad. Sci. U. S. A. 102, 3822-3827 .
  4. Silva, A.C. , Koretsky, A.P. , 2002. Laminar specificity of functional MRI onset times during somatosensory stimulation in rat. Proc. Natl. Acad. Sci. U. S. A. 99, 15182-15187 .
  5. Petridou, N. , et al. , 2006. Direct magnetic resonance detection of neuronal electrical ac- tivity. Proc. Natl. Acad. Sci. U. S. A. 103, 16015-16020 .
  6. Novikov, D.S. , Jensen, J.H. , Helpern, J.A. , Fieremans, E. , 2014. Revealing mesoscopic structural universality with diffusion. Proc. Natl. Acad. Sci. U. S. A. 111, 5088-5093 .
  7. Darquié, A. , Poline, J.B. , Poupon, C. , Saint-Jalmes, H. , Le Bihan, D. , 2001. Transient de- crease in water diffusion observed in human occipital cortex during visual stimulation. Proc. Natl. Acad. Sci. U. S. A. 98, 9391-9395 .
  8. Tsurugizawa, T. , Ciobanu, L. , Le Bihan, D. , 2013. Water diffusion in brain cortex closely tracks underlying neuronal activity. Proc. Natl. Acad. Sci. U. S. A. 110, 11636-11641 .
  9. Miller, K.L. , et al. , 2007. Evidence for a vascular contribution to diffusion FMRI at high b value. Proc. Natl. Acad. Sci. U. S. A. 104, 20967-20972 .
  10. Bai, R., Stewart, C.V., Plenz, D., Basser, P.J., 2016. Assessing the sensitivity of diffu- sion MRI to detect neuronal activity directly. Pnas doi: 10.1073/pnas.1519890113 , 1519890113-. · DOI
  11. Pal, I. , Nyitrai, G. , Kardos, J. , Heja, L. , 2013. Neuronal and astroglial correlates underly- ing spatiotemporal intrinsic optical signal in the rat hippocampal slice. PLoS ONE 8 (1-16), e57694 .
  12. Gil, R. , Fernandes, F.F. , Shemesh, N. , 2021. Neuroplasticity-driven timing modulations revealed by ultrafast functional magnetic resonance imaging. Neuroimage 225 (1-16), 117446 .
  13. Debaker, C. , Boucif, D. , Ciobanu, L. , Tsurugizawa, T. , Le Bihan, D. , 2020. Diffusion MRI reveals in vivo and non-invasively changes in astrocyte function induced by an aqua- porin-4 inhibitor. PLoS ONE 15 (1-14), e0229702 .
  14. Veraart, J., et al., 2016. Denoising of diffusion MRI using random matrix theory. Neuroim- age 1-28. doi: 10.1016/j.neuroimage.2016.08.016 . · DOI · Paper page

Cited by

Sorted by citations

Authors
Nunes, D., Gil, R., & Shemesh, N.
Affiliations
Centro Champalimaud (PT)
Corresponding author
Shemesh, Noam
Venue
NeuroImage
Publisher
Elsevier BV
Published
2021-05
Volume
231
Pages
117862
ISSN
1053-8119 (ISSN-L)
OpenAlex
W3001597959
Cited by
43
References
4
Citations by year
2026: 4 · 2025: 11 · 2024: 14 · 2023: 4 · 2022: 4 · 2021: 6
FWCI
3.70
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • arXiv (Cornell University)
Funders
  • European Research Council (679058)
  • European Regional Development Fund (LISBOA-01-0145-FEDER-022170)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Keywords
intrinsic optical signals, neurovascular coupling, optogenetic stimulation, acute brain slices
MeSH terms
Neurovascular Coupling, Animals, Brain, Electric Stimulation, Male, Mice, Inbred C57BL, Mice, Transgenic, Organ Culture Techniques, Time Factors, Rats, Long-Evans, Diffusion Magnetic Resonance Imaging, Mice, Rats, Optogenetics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review