Layer-fMRI VASO worldwide

This blog post gives an overview of the scientific network of researchers that are using the VASO (vascular space occupancy) for applications in layer-fMRI. I tried to give an overview of all layer-fMRI VASO papers published so far and provide a map of all layer-fMRI VASO labs around the globe.

Acknowledgements

This overview blog post is partly motivated as an education for grant reviewers that think that layer-fMRI is merely done by “one guy in one lab”.

Popularity of layer-fMRI VASO across years and countries

The first layer-fMRI VASO studies in humans were presented in 2014/2015. In the five years that followed, VASO became a credible contrast for the emerging field of layer-fMRI.

fig7_vaso_worldwide-01-1.png
Temporal evolution of VASO for layer-fMRI studies. The numbers are developing in one direction: ⇑ UP ⇑
As of today (Jan 2020) there are 31 labs around the world that are using layer-fMRI VASO with 25 published layer-fMRI VASO papers in peer-reviewed journals

The vast majority of layer-fMRI VASO research is happening in Europe, followed by Asia. The higher 7T density in USA is not represented in a correspondingly many layer-fMRI VASO studies. This it might be due to the medical-application driven research funding environment.

Google map to browse interactively: https://layerfmri.page.link/VASO_worldwide (in case of missing sites, suggestions are welcome to layerfmri@gmail.com).

Thirty two current users of layer-dependent VASO fMRI

  1. Max Planck Institute CBS, Leipzig, Germany: 
    • Daniel Haenelt and Robert Trampel are using VASO (along with GE-BOLD and SE-BOLD) to investigate ocular dominance columns.
      Heanelt.png
      This figure kindly provided by Daniel Haenelt and Robert Trampel
    • Reference: ISMRM 2020, submitted
  2. SFIM, NIMH, NIH, Bethesda, USA:
    • Yuhui Chai and Peter Bandettini are using VASO as a ground truth method to compare it with the VAPER contrast.
      Yuhui.png
      This figure kindly provided by Yuhui Chai
    • Reference: NeuroImage Paper
  3. Cardiff University, Cardiff, UK:
    • Marcello Venzi, Joseph Whittaker, and Kevin Murphy are using high-resolution VASO to investigate the effect of CSF and veins in superficial voxels vs. parenchyma voxels.
      Venti.png
      This figure kindly provided by Marcello Venzi
    • Reference: ISMRM abstract 2019
  4. MBIC, Maastricht University, Netherlands:
    • Renzo Huber and Benedikt Poser are working on sequence approaches to make layer-fMRI VASO easier applicable.
      Huber.png
      Whole brain VASO acquisition for easy applicability in neuroscience studies.
    • Reference: ISMRM abstract 2020, submitted
  5. UC Berkeley, USA: 
    • Alex Beckett and David Feinberg are using VASO as a ‘gold standard’ to compare it to 3D-GRASE.
      Beckett.png

        • This figure is taken from the BioRxiv preprint

      here.

    • Reference: BioArchive Preprint.
  6. Spinoza/UMC, Utrecht/Amsterdam, Netherlands:
    • Icaro Oliviera, Jorien Siero, and Wietske van der Zwaag are using VASO to investigate the linearity of the hemodynamic response at very high resolutions.
      Oliviera.png
      Figure Taken from Icaro’s ISMRM talk
    • Reference: ISMRM Benelux talk
  7. University of Sheffield: Sheffield, UK:
    • Aneurin Kennerley is using layer-dependent VASO to validate it against iron-based contrast agent fMRI in rodents.
      Kennerley_1
      Figure kindly provided by Aneurin Kennerley.
    • Reference: ISMRM abstract 2017
  8. University of York, York, UK 
    • Aneurin Kennerley and Renzo Huber are working on layer-fMRI VASO to make it doable at 3T.
      Kennerley_2.png
      Figure taken from Kennerley’s submitted ISMRM abstract (2020).
    • Reference: ISMRM abstract 2020, submitted
  9. Lab of Brain and Cognition, NIMH, NIH, Bethesda, USA
    • Eli Merriam and Zvi Roth use sub-millimeter VASO to map the visual topography.
      Eli.png
      This figure is kindly provided by Eli Merriam.
    • Reference data shown here
  10. Martinos Center, MGH, Boston, USA:
    • Saskia Bollmann and Jonathan Polimeni use sub-millimeter VASO to investigate the temporal features of CBV across depth.
      Bollmann.png
      This figure is kindly provided by Saskia Bollmann.
    • Reference data shown here
  11. University of Queensland, Australia:
    • Atena Akbari and Markus Barth are investigating the layer-dependent fMRI response of VASO in V1.
      Akbari.png
      This figure is kindly provided by Atena Akbari.
    • OHBM abstract 2019
  12. University of Glasgow, Glasgow, UK:
    • Nils Nothnagel, Andrew Morgan, and Jozien Goense implemented a 3D-EPI sequence for layer-dependent VASO imaging.
    • The first layer-fMRI VASO experiments were conducted early 2019.
    • Screenshot 2020-05-07 at 11.36.25.png
      0.6mm VASO during a visual paradigm acquired in Glasgow from Nils Nothnagel and Andrew Morgan
  13. SKKU, Suwon, South Korea:
    • Insub Kim, Won Mok Shim, and Seong Gi Kim are using layer-dependent VASO for orientation decoding across cortical depth.
      Kim.png
      This figure is kindly provided by Insub Kim.
    • Reference data shown here
  14. Max Planck Institute for Biological Cybernetics, Tuebingen, Germany:
  15. University of Nottingham, Nottingham, UK:
    • Rosa Panchuelo and Susan Francis are using ultra-high resolution VASO in order to map the sensory system.
    • The grant is described here
  16. National Institute of Mental Health:
    • Andrew Persichetti, Jason Avery, and Alex Martin are using layer-fMRI VASO to investigate the intra-cortical processing of imagined and executed motor actions.
      Persichetti.png
      This figure is kindly provided by Andrew Persichetti.
    • Current Biology paper
  17. CiNet, Osaka, Japan
    • Ikuhiro Kida is using high-resolution VASO to investigate the neuro-vascular coupling features of fMRI.
    • Sequence approved from SIEMENS in Feb 2019, ethical approval received in fall 2019.

      Screenshot 2020-03-20 at 17.53.10
      Double stripe of tapping induced activity.
  18. NYU, New York USA
    • Hanzhang Lu performed the first sub-millimeter VASO when he was graduating and leaving to NYC at that time.
      donahue.png

        • This figure from Hanzhang Lu’s scans are taken from a paper published by Donahue

      2006 MRM.

    • References 1, and 2.
  19. University Magdeburg
    • Esther Kuehn and Oliver Speck are piloting layer-fMRI VASO to investigate sensory-motor representations across cortical depth.
      Kuehn.png
      Figure credits: Esther Kuehn
    • Pilot study in June 2018
  20. Christian Doppler Klinik, Salzburg
    • Martin Kronbichler is investigating the usability of layer-dependent VASO at 3T.
      Kronbichler.png
      Figure credits: Martin Kronbichler
    • Reference data shown here
  21. NIPS, Okazaki, Japan
    • Masaki Fukunaga is using layer-fMRI VASO in the sensory motor system, in the insual, and the visual cortex.
      Fukunaga.png
      Figure credits: Masaki Fukunaga
    • Layer-fMRI VASO research agreement
  22. Okayama University Hospital, Japan
    • Yinghua Yu is using layer-dependent VASO with predictive coding in the sensory system.
      Yu.png
      This figure is kindly provided by Yinghua Yu
    • Reference
  23. Max-Delbrueck-Centrum, Berlin, Germany
    • Henning Reimann and Jurjen Heij are investigating layer-dependent processing of pain.
    • Screenshot 2020-05-19 at 16.01.56
      Example activation map from Henning Reimann at 0.8×0.8×0.7mm
  24. Zhejiang University, China
  25. Institute of Biophysics, Chinese Academy of Sciences, China
  26. University of Cambridge, UK 
    • Bingjiang Lyu and Chris Roger are working on the implementation of layer-fMRI VASO for application in speech fMRI.
  27. University of Cambridge, UK 
    • Catarina Rua and Zoe Kourtzi are setting up layer-dependent VASO in the visual cortex.
    • Screenshot 2020-05-09 at 10.43.05.png
      0.8mm VASO data from Cat Rua
  28. Oxford Centre for Functional MRI of the Brain, UK
    • James Kolasinsky and Olivia Viessmann acquired high-resolution VASO with SMS readout for application in the somatosensory system.
  29. Kennedy Krieger Institute, Johns Hopkins University, Baltimore, USA
    • Jun Hua developed a high-resolution 7T VASO sequence and is applying it with working memory tasks in dementia patients.
      hua-e1578059635188.png
      This figure is taken from Hua’s MRM 2012 paper.
    • Reference
  30. Uniklinik Freiburg, Germany.
    • Burak Akin and Ali Özen are acquiring layer-fMRI VASO at 3T with micro-stip RF-coils.
  31. DZNE, Bonn, Germany:
    • Ruediger Strinberg and Tony Stoecker implemented a VASO sequence with segmented 3D-EPI readout for SIEMENS VE systems.
      Strinberg
      Data of this figure were acquired with Stirnberg’s sequence at the 7T Terra at NIH.
  32. NTNU, Trondheim, Norway
    • Desmond Tse and Pål Erik Goa are ramping up a layer-fMRI VASO grant for application in aging population.
    • Reference

Twenty seven peer-reviewed journal papers showing data with layer-dependent VASO

  1. Donahue, Manus J. et al. 2006. “Theoretical and Experimental Investigation of the VASO Contrast Mechanism.” Magnetic Resonance in Medicine 56(6): 1261–73. https://doi.org/10.1002/mrm.21072.

  2. Jin, Tao, and Seong Gi Kim. 2006. “Spatial Dependence of CBV-FMRI: A Comparison between VASO and Contrast Agent Based Methods.” Annual International Conference of the IEEE Engineering in Medicine and Biology – Proceedings (10): 25–28.

  3. Jin, Tao, and Seong Gi Kim. 2008. “Improved Cortical-Layer Specificity of Vascular Space Occupancy FMRI with Slab Inversion Relative to Spin-Echo BOLD at 9.4 T.” NeuroImage 40(1): 59–67.

  4. Goense, Jozien B M, Hellmut Merkle, and Nikos K. Logothetis. 2012. “High-Resolution FMRI Reveals Laminar Differences in Neurovascular Coupling between Positive and Negative BOLD Responses.” Neuron 76(3): 629–39. http://dx.doi.org/10.1016/j.neuron.2012.09.019 (January 17, 2014).

  5. Bandettini, Peter A. 2012. “The BOLD Plot Thickens: Sign- and Layer-Dependent Hemodynamic Changes with Activation.” Neuron 76(3): 468–69. http://dx.doi.org/10.1016/j.neuron.2012.10.026.

  6. Huber, Laurentius et al. 2014. “Slab-Selective, BOLD-Corrected VASO at 7 Tesla Provides Measures of Cerebral Blood Volume Reactivity with High Signal-to-Noise Ratio.” Magnetic Resonance in Medicine 72(1): 137–48. https://doi.org/10.1002/mrm.24916.

  7. Huber, Laurentius et al. 2014. “Investigation of the Neurovascular Coupling in Positive and Negative BOLD Responses in Human Brain at 7T.” NeuroImage 97: 349–62. http://dx.doi.org/10.1016/j.neuroimage.2014.04.022.

  8. Huber, Laurentius et al. 2015. “Cortical Lamina-Dependent Blood Volume Changes in Human Brain at 7T.” NeuroImage 107: 23–33. http://dx.doi.org/10.1016/j.neuroimage.2014.11.046.

  9. Guidi, Maria et al. 2016. “Lamina-Dependent Calibrated BOLD Response in Human Primary Motor Cortex.” NeuroImage 141: 250–61. http://dx.doi.org/10.1016/j.neuroimage.2016.06.030.

  10. Huber, Laurentius et al. 2016. “Functional Cerebral Blood Volume Mapping with Simultaneous Multi-Slice Acquisition.” NeuroImage 125: 1159–68.

  11. Donahue, Manus J., Meher R. Juttukonda, and Jennifer M. Watchmaker. 2017. “Noise Concerns and Post-Processing Procedures in Cerebral Blood Flow (CBF) and Cerebral Blood Volume (CBV) Functional Magnetic Resonance Imaging.” NeuroImage 154: 43–58. http://dx.doi.org/10.1016/j.neuroimage.2016.09.007.

  12. Kazan, Samira M. et al. 2017. “Physiological Basis of Vascular Autocalibration (VasA): Comparison to Hypercapnia Calibration Methods.” Magnetic Resonance in Medicine 78(3): 1168–73.

  13. Huber, Laurentius et al. 2017. “High-Resolution CBV-FMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1.” Neuron 96(6): 1253-1263.e7. https://doi.org/10.1016/j.neuron.2017.11.005.

  14. Dumoulin, Serge O. 2017. “Layers of Neuroscience.” Neuron 96(6): 1205–6. https://doi.org/10.1016/j.neuron.2017.12.004.

  15. Poser, Benedikt A, and Kawin Setsompop. 2018. “Pulse Sequences and Parallel Imaging for High Spatiotemporal Resolution MRI at Ultra-High Field.” NeuroImage 168: 101–18. http://dx.doi.org/10.1016/j.neuroimage.2017.04.006.

  16. Huber, Laurentius et al. 2018. “Techniques for Blood Volume FMRI with VASO: From Low-Resolution Mapping towards Sub-Millimeter Layer-Dependent Applications.” NeuroImage 164(November): 131–43. https://doi.org/10.1016/j.neuroimage.2016.11.039.

  17. Huber, Laurentius et al. 2018. “Ultra-High Resolution Blood Volume FMRI and BOLD FMRI in Humans at 9.4T: Capabilities and Challenges.” NeuroImage 178(June): 769–79. https://doi.org/10.1016/j.neuroimage.2018.06.025.

  18. Finn, Emily S et al. 2019. “Layer-Dependent Activity in Human Prefrontal Cortex during Working Memory.” Nature Neuroscience 22: 1687–1695. https://doi.org/10.1038/s41593-019-0487-z.

  19. Chai, Yuhui et al. 2019. “Integrated VASO and Perfusion Contrast: A New Tool for Laminar Functional MRI.” NeuroImage: 116358. https://doi.org/10.1016/j.neuroimage.2019.116358.

  20. Huber, Laurentius, Kâmil Uludağ, and Harald E. Möller. 2019. “Non-BOLD Contrast for Laminar FMRI in Humans: CBF, CBV, and CMRO2.” NeuroImage (July): 1–19. https://doi.org/10.1016/j.neuroimage.2017.07.041.

  21. Persichetti, Andrew Steven et al. 2020. “Current Biology Layer-Specific Contributions to Imagined and Executed Hand Movements in Human Primary Motor Cortex.” Current Biology: preprint re-submitted. https://dx.doi.org/10.2139/ssrn.3482808.

  22. Beckett, Alexander et al. 2019. “Comparison of BOLD and CBV Using 3D EPI and 3D GRASE for Cortical Layer FMRI at 7T .” bioRxiv. https://doi.org/10.1101/778142

  23. Yu, Yinghua et al. 2019. “Layer-Specific Activation of Sensory Input and Predictive Feedback in the Human Primary Somatosensory Cortex.” Science Advances 5(5): eaav9053. https://doi.org/10.1126/sciadv.aav9053.

  24. Yang, Jiajia, and Yinghua Yu. 2019. “超高磁場・高精細レイヤー FMRI 技術による ヒト大脳皮質の層別活動の可視化.” Medical Science Digest 45(418): 418–21. http://hokuryukan-ns.co.jp/cms/books/medical-science-digest 2019年 6月臨時増刊号/.

  25. Huber, Laurentius et al. 2020. “Sub-Millimeter FMRI Reveals Multiple Topographical Digit Representations That Form Action Maps in Human Motor Cortex.” NeuroImage 208: 116463. https://www.biorxiv.org/content/10.1101/457002v2.

  26. Guidi, M et al. 2020. “Cortical Laminar Resting-State Fluctuations Scale with the Hypercapnic Bold Response.” HBM: ahead of print. https://doi.org/10.1002/hbm.24926.

  27. Huber, Laurentius et al. 2020. “Layer-Dependent Functional Connectivity Methods.” Zenodo: 3635355. https://doi.org/10.5281/zenodo.3635355.

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