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Neuron. 2017 Dec 20;96(6):1253-1263.e7. doi: 10.1016/j.neuron.2017.11.005. Epub 2017 Dec 7.

High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1.

Author information

1
NIMH, NIH, Bethesda, MD 20892, USA. Electronic address: laurentius.huber@nih.gov.
2
NIMH, NIH, Bethesda, MD 20892, USA.
3
Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA; Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
4
Maastricht Brain Imaging Centre, Maastricht University, Maastricht 6229, the Netherlands.
5
NMR Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.
6
School of Psychology and Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK.

Abstract

Layer-dependent fMRI allows measurements of information flow in cortical circuits, as afferent and efferent connections terminate in different cortical layers. However, it is unknown to what level human fMRI is specific and sensitive enough to reveal directional functional activity across layers. To answer this question, we developed acquisition and analysis methods for blood-oxygen-level-dependent (BOLD) and cerebral-blood-volume (CBV)-based laminar fMRI and used these to discriminate four different tasks in the human motor cortex (M1). In agreement with anatomical data from animal studies, we found evidence for somatosensory and premotor input in superficial layers of M1 and for cortico-spinal motor output in deep layers. Laminar resting-state fMRI showed directional functional connectivity of M1 with somatosensory and premotor areas. Our findings demonstrate that CBV-fMRI can be used to investigate cortical activity in humans with unprecedented detail, allowing investigations of information flow between brain regions and outperforming conventional BOLD results that are often buried under vascular biases.

KEYWORDS:

BOLD; VASO; cortical layers; fMRI; layer fMRI; neurovascular coupling

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