Nicholas Blockley

Dr. Nicholas Blockley

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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 December 2014 in Brain
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Journal Article
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GHGeorge W. J. Harston
George W. J. Harston
YTYee Kai Tee
Yee Kai Tee
NBNicholas Blockley
Nicholas Blockley
TOThomas W. Okell
Thomas W. Okell
STSivarajan Thandeswaran
Sivarajan Thandeswaran
JKJames Kennedy
James Kennedy
The original concept of the ischaemic penumbra suggested imaging of regional cerebral blood flow and metabolism would be required to identify tissue that may benefit from intervention. Amide proton transfer magnetic resonance imaging, a chemical exchange saturation transfer technique, has been used to derive cerebral intracellular pH in preclinical stroke models and has been proposed as a metabolic marker of ischaemic penumbra. In this proof of principle clinical study, we explored the potential of this pH-weighted magnetic resonance imaging technique at tissue-level. Detailed voxel-wise analysis was performed on data from a prospective cohort of 12 patients with acute ischaemic stroke. Voxels within ischaemic core had a more severe intracellular acidosis than hypoperfused tissue recruited to the final infarct (P < 0.0001), which in turn was more acidotic than hypoperfused tissue that survived (P < 0.0001). In addition, when confined to the grey matter perfusion deficit, intracellular pH (P < 0.0001), but not cerebral blood flow (P = 0.31), differed between tissue that infarcted and tissue that survived. Within the presenting apparent diffusion coefficient lesion, intracellular pH differed between tissue with early apparent diffusion lesion pseudonormalization and tissue with true radiographic recovery. These findings support the need for further investigation of pH-weighted imaging in patients with acute ischaemic stroke.

4 September 2012 in NMR in Biomedicine
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NBNicholas Blockley
Nicholas Blockley
VGValerie E. M. Griffeth
Valerie E. M. Griffeth
ASAaron B. Simon
Aaron B. Simon
RBRichard B. Buxton
Richard B. Buxton

24 November 2008 in Magnetic Resonance in Medicine
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Journal Article
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NBNicholas Blockley
Nicholas Blockley
LJL. Jiang
L. Jiang
AGA.G. Gardener
A.G. Gardener
CLC.N. Ludman
C.N. Ludman
SFSusan Francis
Susan Francis
PGP.A. Gowland
P.A. Gowland
This study has measured the longitudinal and transverse (T) relaxivity curves for ProHance (Gadoteridol), Vasovist (Gadofosveset) and deoxyhemoglobin at 1.5, 3.0, and 7.0 Tesla. The plots of R1 versus both contrast agent and deoxyhemoglobin concentration were linear. The plots of R versus deoxyhemoglobin concentration showed a quadratic dependence. R versus contrast agent concentration showed a parabolic dependence with a minimum occurring at contrast agent concentrations of approximately 1.5 mM, corresponding to an accessible concentration in vivo. Monte Carlo simulations were performed to support the hypothesis that the minimum results from the susceptibility of the red blood cells being matched to the susceptibility of the plasma. Relaxivity values (s−1mM−1) for R and R1 for all agents and all three field strengths are given. Magn Reson Med 60:1313–1320, 2008.

8 December 2010 in Magnetic Resonance in Medicine
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NBNicholas Blockley
Nicholas Blockley
IDIan D. Driver
Ian D. Driver
SFSusan Francis
Susan Francis
JFJoseph A. Fisher
Joseph A. Fisher
PGPenny A. Gowland
Penny A. Gowland
This study aims to improve the method used to produce cerebrovascular reactivity (CVR) maps by MRI. Previous methods have used a standard boxcar presentation of carbon dioxide (CO2). Here this is replaced with a sinusoidally modulated CO2 stimulus. This allowed the use of Fourier analysis techniques to measure both the amplitude and phase delay of the BOLD CVR response, and hence characterize the arrival sequence of blood to different regions of the brain. This characterization revealed statistically significant relative delays between regions of the brain (ANOVA < 0.0001). In addition, post hoc comparison showed that the frontal (P < 0.001) and parietal (P = 0.004) lobes reacted earlier than the occipital lobe. Magn Reson Med, 2011.

10 June 2014 in NMR in Biomedicine
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Journal Article
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YTYee Kai Tee
Yee Kai Tee
GHG. W. J. Harston
G. W. J. Harston
NBNicholas Blockley
Nicholas Blockley
TOThomas W. Okell
Thomas W. Okell
JLJ. Levman
J. Levman
MCM. A. Chappell
M. A. Chappell
Amide proton transfer (APT) imaging is a pH mapping method based on the chemical exchange saturation transfer phenomenon that has potential for penumbra identification following stroke. The majority of the literature thus far has focused on generating pH‐weighted contrast using magnetization transfer ratio asymmetry analysis instead of quantitative pH mapping. In this study, the widely used asymmetry analysis and a model‐based analysis were both assessed on APT data collected from healthy subjects (n = 2) and hyperacute stroke patients (n = 6, median imaging time after onset = 2 hours 59 minutes). It was found that the model‐based approach was able to quantify the APT effect with the lowest variation in grey and white matter (≤ 13.8 %) and the smallest average contrast between these two tissue types (3.48 %) in the healthy volunteers. The model‐based approach also performed quantitatively better than the other measures in the hyperacute stroke patient APT data, where the quantified APT effect in the infarct core was consistently lower than in the contralateral normal appearing tissue for all the patients recruited, with the group average of the quantified APT effect being 1.5 ± 0.3 % (infarct core) and 1.9 ± 0.4 % (contralateral). Based on the fitted parameters from the model‐based analysis and a previously published pH and amide proton exchange rate relationship, quantitative pH maps for hyperacute stroke patients were generated, for the first time, using APT imaging. © 2014 The Authors. NMR in Biomedicine published by John Wiley & Sons, Ltd.

1 February 2017 in NeuroImage
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Journal Article
Open access
ASAlan J. Stone
Alan J. Stone
NBNicholas Blockley
Nicholas Blockley
Quantitative BOLD (qBOLD) is a non-invasive MR technique capable of producing quantitative measurements of the haemodynamic and metabolic properties of the brain. Here we propose a refinement of the qBOLD methodology, dubbed streamlined-qBOLD, in order to provide a clinically feasible method for mapping baseline brain oxygenation. In streamlined-qBOLD confounding signal contributions are minimised during data acquisition through the application of (i) a Fluid Attenuated Inversion Recovery (FLAIR) preparation to remove cerebral spinal fluid (CSF) signal contamination, (ii) a Gradient Echo Slice Excitation Profile Imaging (GESEPI) acquisition to reduce the effect of macroscopic magnetic field gradients and (iii) an Asymmetric Spin Echo (ASE) pulse sequence to directly measure the reversible transverse relaxation rate, R2'. Together these features simplify the application of the qBOLD model, improving the robustness of the resultant parametric maps. A theoretical optimisation framework was used to optimise acquisition parameters in relation to signal to noise ratio. In a healthy subject group (n = 7) apparent elevations in R2' caused by partial volumes of CSF were shown to be reduced with the application of CSF nulling. Significant decreases in R2' (p < 0.001) and deoxygenated blood volume (p < 0.01) were seen in cortical grey matter, across the group, with the application of CSF suppression. Quantitative baseline brain oxygenation parameter maps were calculated using qBOLD modelling and compared with literature values.