NeuroImageNeurosciencePeer-reviewed journal article
Laminar perfusion imaging with zoomed arterial spin labeling at 7 Tesla
Xingfeng ShaoiD, Fanhua GuoiD, Qinyang ShouiD, Kai WangiD, Kay JanniD, Lirong YaniD, Arthur W. TogaiD, Peng ZhangiD, Danny J.J. WangiD
Abstract
Laminar fMRI based on BOLD and CBV contrast at ultrahigh magnetic fields has been applied for studying the dynamics of mesoscopic brain networks. However, the quantitative interpretations of BOLD/CBV fMRI results are confounded by different baseline physiology across cortical layers. Here we introduce a novel 3D zoomed pseudo-continuous arterial spin labeling technique at 7T that offers the unique capability for quantitative measurements of laminar cerebral blood flow (CBF) both at rest and during task activation with high spatial specificity and sensitivity. We found arterial transit time in superficial layers is [~]100 msec shorter than in middle/deep layers revealing the dynamics of labeled blood flowing from pial arteries to downstream microvasculature. Resting state CBF peaked in the middle layers which is highly consistent with microvascular density measured from human cortex specimens. Finger tapping induced a robust two-peak laminar profile of CBF increases in the superficial (somatosensory and premotor input) and deep (spinal output) layers of M1, while finger brushing task induced a weaker CBF increase in superficial layers (somatosensory input). We further demonstrated that top-down attention induced a predominant CBF increase in deep layers and a smaller CBF increase on top of the lower baseline CBF in superficial layers of V1 (feedback cortical input), while bottom-up stimulus driven activity peaked in the middle layers (feedforward thalamic input). These quantitative laminar profiles of perfusion activity suggest an important role of M1 superficial layers for the computation of finger movements, and that visual attention may amplify deep layer output to the subcortex. Significance StatementCBF or microvascular perfusion measured by arterial spin labeling (ASL) is a key parameter for in vivo assessment of neurovascular function. Compared to BOLD or VASO fMRI, ASL perfusion contrast offers the unique capability for quantitative CBF measurements both at baseline and during task activation, which is critical for quantitative estimation of metabolic activities tightly related to neuronal activation. We proposed a zoomed 3D ASL technique at 7T for laminar perfusion imaging with high spatial specificity and sensitivity. This technique is able to differentiate and quantify the input/output and feedforward/feedback activities of human motor and visual cortex, thereby providing an important tool for quantitative assessment of neurovascular function and metabolic activities of neural circuits across cortical layers.
- Citations
- 38
- FWCI
- 2.11
- Field percentile
- top 12%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Sub-millimetre resolution laminar fMRI using Arterial Spin Labelling in humans at 7T
Sriranga Kashyap, Dimo Ivanov, … Kâmil Uludaǧ·PLoS ONEPeer-reviewed·Apr 26, 2021
- The many layers of BOLD. On the contribution of different vascular compartments to laminar fMRI.
Wouter Schellekens, Alex A. Bhogal, … Natalia Petridou·bioRxiv·Oct 21, 2021
- Feasibility of high-resolution perfusion imaging using Arterial Spin Labelling MRI at 3 Tesla
Sriranga Kashyap, Icaro Agenor Ferreira de Oliveira, Kâmil Uludaǧ·Frontiers in PhysiologyPeer-reviewed·Jan 3, 2024
- Validating layer-specific VASO across species
Laurentius Huber, Benedikt Andreas Poser, … Aneurin J. Kennerley·NeuroImagePeer-reviewed·May 24, 2021
- Comparison of BOLD and CBV using 3D EPI and 3D GRASE for cortical layer fMRI at 7T.
Alexander J. S. Beckett, Tetiana Dadakova, … David A. Feinberg·Magnetic Resonance in MedicinePeer-reviewed·Jun 18, 2020
- Fast layer-fMRI VASO with short stimuli and event-related designs at 7T
Sebastian Dresbach, Laurentius Huber, … Rainer Goebel·NeuroImagePeer-reviewed·Aug 8, 2023