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.

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.

     

     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.

     

     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.

     

     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.

     

     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.
     
     • 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.

     

     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.

     

     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.

     

     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.

     

     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.

      

      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.

      

      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.

    • 

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.

      

      This figure is kindly provided by Insub Kim.

    • Reference data shown here
14. Max Planck Institute for Biological Cybernetics, Tuebingen, Germany:
    • Jozien Goense used layer-dependent VASO in monkey visual cortex in areas of negative BOLD.

      

      This figure is taken from Goense’s Neuron paper.

    • Data shown in Fig. 5 of this paper
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.

      

      This figure is kindly provided by Andrew Persichetti.

    • SFN abstract 2019
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.

      

18. Vanderbilt University School of Medicine, Nashville, TN, USA
    • Manus Donahue used sub-millimeter VASO to investigate the localization specificity.
      
      • This figure is taken from Donahue’s

      2006 MRM paper.

    • 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.

      

      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.

      

      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.

      

      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.

      

      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.

    • 

24. Zhejiang University, China
    • Ruiliang Bai in the group of Anna Wang are using 7T VASO for high-resolution fMRI.
    • Layer-fMRI research agreement is approved by SIEMENS
25. Institute of Biophysics, Chinese Academy of Sciences, China
    • Zihao Zhang and Peng Zhang  are using layer-fMRI VASO in humans at 7T
    • Layer-fMRI research agreement is approved by SIEMENS
      
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.

    • 

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.

      

      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.

      

      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.