Elsevier

NeuroImage

Volume 79, 1 October 2013, Pages 153-161
NeuroImage

Technical Note
Combined T2*-weighted measurements of the human brain and cervical spinal cord with a dynamic shim update

https://doi.org/10.1016/j.neuroimage.2013.04.021Get rights and content

Highlights

  • Presents a setup for combined T2*-weighted measurements of the human brain and cervical spinal cord.

  • Specific geometry parameters (e.g. voxel size) and optimized timings were used for each region.

  • A dynamic selection of the receive coil elements improves the SNR, in particular in the spinal cord.

  • A dynamic update of the frequency and linear shims yields a good image quality in both target regions.

  • The feasibility of the approach is demonstrated in healthy volunteers at 3T.

Abstract

Important functions of the central nervous system such as sensory processing and motor execution, involve the spinal cord. Recent advances in human functional MRI have allowed to investigate spinal cord neuronal processes using the blood-oxygenation-level-dependent (BOLD) contrast. However, to assess the functional connectivity between the brain and the spinal cord, functional MRI measurements covering both regions in the same experiment are required. Unfortunately, the ideal MRI setup differs considerably for the brain and the spinal cord with respect to resolution, field-of-view, relevant receive coils, and, in particular, shim adjustments required to minimize distortion artifacts. Here, these issues are addressed for combined T2*-weighted MRI measurements of the human brain and the cervical spinal cord by using adapted parameter settings (field-of-view, in-plane resolution, slice thickness, and receiver bandwidth) for each region, a dynamic receive coil element selection where for each slice only the elements with significant signal contributions are considered, and, most importantly, the implementation of a dynamic update of the frequency and the linear shims in order to provide shim settings individually adapted to the brain and spinal cord subvolume. The feasibility of this setup for combined measurements is demonstrated in healthy volunteers at 3 T. Although geometric distortions are slightly more pronounced and the temporal signal-to-noise ratio is lower as compared to measurements focusing to the brain or spinal cord only, the overall image quality can be expected to be sufficient for combined functional MRI experiments. Thus, the presented approach could help to unravel the functional coupling between the brain and the spinal cord.

Introduction

Numerous functions of the central nervous system such as processing of sensory signals from the periphery and from the viscera, motor execution, reflexes or autonomic functions, involve the spinal cord. To investigate its functional role in vivo, functional magnetic resonance imaging (fMRI) experiments based on the blood-oxygenation-level-dependent (BOLD) contrast (Ogawa et al., 1990, Ogawa et al., 1993) represent a valuable non-invasive approach (e.g. Brooks et al., 2012, Eippert et al., 2009, Maieron et al., 2007, Sprenger et al., 2012, Stroman et al., 1999, Summers et al., 2010a, Yoshizawa et al., 1996; for reviews see e.g. Giove et al., 2004, Stroman, 2005, Summers et al., 2010b). fMRI of the spinal cord is technically more challenging than in the brain due to the small size of the gray matter structure and the inhomogeneity of the magnetic flux density in the spinal canal, which is caused by differences of the magnetic susceptibilities, in particular of the vertebrae and the vertebral disks (e.g., Cooke et al., 2004, Maieron et al., 2007). Nevertheless, fMRI of the human spinal cord has provided important insights into the human spinal cord physiology (Eippert et al., 2009, Mainero et al., 2007, Sprenger et al., 2012). For instance, it could be shown that the modulation of pain perception by higher cognitive functions, e.g. attention or in the context of placebo analgesia, can already be detected at the spinal level (Eippert et al., 2009, Sprenger et al., 2012).

With the recent progress in spinal cord fMRI, interest has risen to also target its functional interaction with the brain. Studies investigating functional connectivity between the brain and the spinal cord systems would be informative with regard to many pertinent research questions such as top-down and bottom-up modulation of neuronal activity during physiological signaling in health and its alteration in pathological conditions including its interference with therapeutic approaches.

Performing separate fMRI experiments of the brain and the spinal cord successively is straightforward because individual fMRI protocols are well established for each region. However, such measurements are not suitable for a reliable estimation of the functional or effective connectivity between the brain and the spinal cord which requires to sample the response to each, individual stimulus in all regions considered (Friston et al., 1997, Friston et al., 2003), i.e. the brain and the spinal cord must be covered within the same measurement.

Such combined fMRI measurements are challenging because the desired setups differ considerably between brain and spinal cord measurements. First, typical acquisition parameters like resolution, slice thickness, and field-of-view, differ by a factor of two or more. For instance, most brain fMRI acquisitions employ isotropic voxel sizes between 2.0 × 2.0 × 2.0 mm3 and 4.0 × 4.0 × 4.0 mm3, protocols for the spinal cord usually have an in-plane resolution of 1.0 × 1.0 mm2 or even below and a slice thickness of 4 mm or more (see, e.g., Giove et al., 2004). However, standard MRI sequences can only handle a single parameter set for all slices yielding a non-optimal or insufficient image quality in at least one of the regions, which could hamper the reliable detection or localization of activations. Second, different receive coils are relevant for the brain and the spinal cord. Acquiring data for the brain and the spinal cord with all available coil elements rather than those optimal for each part, leads to a reduced signal-to-noise ratio. Third, and most importantly, the optimum shim adjustment usually differs considerably between the brain and the spinal cord. BOLD fMRI experiments are based on T2*-weighted acquisitions that in the presence of a non-optimal shim setup suffer from signal dropouts. Furthermore, echo-planar imaging (Mansfield, 1977) which is commonly used in T2* weighted fMRI, can exhibit geometric distortions that can degrade the image quality significantly.

In this work, we provide a practical approach for combined T2*-weighted measurements of the human brain and the cervical spinal cord with an accordingly extended echo-planar imaging pulse sequence. First, specific parameters (e.g., in-plane resolution, slice thickness, field-of-view) with an individually optimized timing (i.e., receiver bandwidth, echo spacing, echo time) were used for the brain and the spinal cord subvolumes. Second, the receive coil elements were dynamically selected such that for each slice only elements with significant signal contributions are included. Third, the frequency and the linear shims were dynamically updated during the measurement (Blamire et al., 1996, Morrell and Spielman, 1997) to use different values for the brain and the spinal cord subvolume. The feasibility of this approach to perform combined T2*-weighted measurements of the human brain and cervical spinal cord is demonstrated in healthy volunteers at 3 T.

Section snippets

Material and methods

Measurements were performed on a 3 T whole-body MR system (TIM Trio, Siemens Healthcare, Erlangen, Germany) using a 12-element head and a 4-element neck coil (both receive-only). The MR system is equipped with a 40-mT-m 1 gradient coil and five second-order shim coils. Linear shims were realized by current offsets to the gradient coils. For testing purposes, water phantoms were investigated. In vivo data were obtained from healthy volunteers that declared their informed consent prior to the

Results

The dynamic coil selection applied improved the SNR, in particular for the spinal cord. For the slices in the brain, the signal amplitude was slightly reduced (by about 3%) but the noise level was decreased by more than 10% which yielded an overall SNR increase (data no shown). In the spinal cord, the signal amplitude was about 2% lower when using only the neck coil elements but the noise level was reduced by more than 45%, i.e. the SNR gain was about 80% (data no shown). The noise reduction

Discussion

In the present work, we have presented an implementation of combined T2*-weighted measurements of the human brain and cervical spinal cord in vivo. The chosen setup involved voxel sizes and fields-of-view that were adapted to each region. The timing was optimized accordingly to provide a shorter echo time and echo train length for the slices in the brain that were acquired with a lower spatial resolution, which reduced geometric distortions and signal dropouts. To achieve the best

Conclusion

The feasibility of combined T2*-weighted measurements of the human brain and cervical spinal cord has been demonstrated in vivo. Using (i) geometry parameters including voxel size and field-of-view adapted to each region and a correspondingly optimized sequence timing, (ii) a dynamic coil element selection, and (iii) a dynamic update of the frequency and linear shim values, an image quality that can be expected to be sufficient for functional MRI experiments, can be achieved in both regions.

Acknowledgments

We would like to thank all volunteers that participated in this study.

Conflict of interest statement

The authors have no actual or potential conflict of interest including any financial, personal or other relationships with other people or organizations within three (3) years of beginning the work submitted that could inappropriately influence (bias) their work.

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