<p>Panels A–D plot correlations between graph-theoretic metrics of alpha networks and behavioural CRS-R scores of individual patients. Red and blue circles indicate VS and MCS patients respectively. Filled circles indicate patients who followed command with fMRI tennis imagery. Robust linear regressions indicated by solid lines included all patients, whereas those indicated by dashed lines only included MCS patients. All metrics improved alongside progressive increase in CRS-R scores of MCS patients. Panels E, F and G plot alpha band networks of representative VS patients P1, P2 and P3, respectively. All 3 patients had the same CRS-R score, but only P3 showed evidence of command following. Compared to P1 and P2 (panels E and F), P3 also had...
<p>(<i>A</i>–<i>B</i>) Example binary network diagnostic curves as a function of threshold: the modu...
At rest, spontaneous brain activity measured by fMRI is summarized by a number of distinct resting s...
Acknowledgements: We would like to thank Bernd Taschler of the University of Oxford for feedback and...
<p>Panels plot group-wise graph-theoretic metrics averaged over all connection densities considered....
<p>Panels A–C plot colour maps of individual NMI between networks of patients and controls. Red tria...
<p>Graph depicting PCS (A) and MCS (B) with 95% CIs at different follow up and for each treatment.</...
The reliability of graph metrics calculated in network analysis is essential to the interpretation o...
INTRODUCTION: Graph metrics have been proposed as potential biomarkers for diagnosis in clinical wor...
<p>T-score maps corresponding to local clustering, <i>lC</i>, characteristic path length, <i>lL</i>,...
<p>Panels A–C depict mean channel-wise power spectra in controls, MCS and VS patients. Dashed lines ...
International audienceThe exploration of brain networks with resting-state fMRI (rs-fMRI) combined w...
Resting-state fMRI studies have gained widespread use in exploratory studies of neuropsychiatric dis...
Graph theoretical analysis has become an important tool in the examination of brain dysconnectivity ...
Graph theory has recently received a lot of attention from the neuroscience community as a method to...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>(<i>A</i>–<i>B</i>) Example binary network diagnostic curves as a function of threshold: the modu...
At rest, spontaneous brain activity measured by fMRI is summarized by a number of distinct resting s...
Acknowledgements: We would like to thank Bernd Taschler of the University of Oxford for feedback and...
<p>Panels plot group-wise graph-theoretic metrics averaged over all connection densities considered....
<p>Panels A–C plot colour maps of individual NMI between networks of patients and controls. Red tria...
<p>Graph depicting PCS (A) and MCS (B) with 95% CIs at different follow up and for each treatment.</...
The reliability of graph metrics calculated in network analysis is essential to the interpretation o...
INTRODUCTION: Graph metrics have been proposed as potential biomarkers for diagnosis in clinical wor...
<p>T-score maps corresponding to local clustering, <i>lC</i>, characteristic path length, <i>lL</i>,...
<p>Panels A–C depict mean channel-wise power spectra in controls, MCS and VS patients. Dashed lines ...
International audienceThe exploration of brain networks with resting-state fMRI (rs-fMRI) combined w...
Resting-state fMRI studies have gained widespread use in exploratory studies of neuropsychiatric dis...
Graph theoretical analysis has become an important tool in the examination of brain dysconnectivity ...
Graph theory has recently received a lot of attention from the neuroscience community as a method to...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>(<i>A</i>–<i>B</i>) Example binary network diagnostic curves as a function of threshold: the modu...
At rest, spontaneous brain activity measured by fMRI is summarized by a number of distinct resting s...
Acknowledgements: We would like to thank Bernd Taschler of the University of Oxford for feedback and...