Research Data - Clinical Neurosciences
Permanent URI for this collection
Browse
Recent Submissions
Item Open Access COL4A1/A2 transcriptomicGranata, Alessandra; Al-Thani, Maha; Goodwin, Mary; Bell, Steven; Patel, Krushangi; Markus, Hugh; Sinha, Sanjay; Granata, Alessandra [0000-0001-5051-8201]Item Open Access AlphaFold models of NF155, CNTN1 and Caspr extracellular domainsDeane, Janet; McKie, Shannon; Graham, Stephen; Deane, Janet [0000-0002-4863-0330]Item Open Access AlphaFold models of PTPRM and PTPRK extracellular domainsDeane, Janet; Hay, Iain; Deane, Janet [0000-0002-4863-0330]Item Open Access AlphaFold2 Multimer models of PTPRK and Afadin domainsDeane, Janet; Hay, Iain; Graham, Stephen; Sharpe, Hayley; Deane, Janet [0000-0002-4863-0330]; Graham, Stephen [0000-0003-4547-4034]Item Open Access SSiN-VA outcomes for twelve normal-hearing participantsSalorio Corbetto, Marina; Picinali, Lorenzo; Williges, Ben; Lamping, Wiebke; Vickers, Deborah; Salorio Corbetto, Marina [0000-0002-5621-5284]; Williges, Ben [0000-0002-7476-1334]; Lamping, Wiebke [0000-0003-2128-4922]; Vickers, Deborah [0000-0002-7498-5637]Item Open Access Research data supporting: Metabolic Imaging Detects Low Levels of Glycolytic Activity That Vary with Levels of c-Myc Expression in Patient-Derived Xenograft Models of GlioblastomaMair, Richard; Wright, Alan; Brindle, Kevin; Mair, Richard [0000-0001-8235-5689]; Brindle, Kevin [0000-0003-3883-6287]Item Open Access Data in Figures published in Wang et al. J Biomech Eng 2021Wilson, David; Wang, Ru; Tsai, Jheng-Han; Snead, Martin; Alexander, Philip; Wilson, Ian [0000-0003-3950-9165]; Snead, Martin [0000-0003-0042-8659]Item Open Access Research data supporting "A simple MRI scores aids prediction of dementia in cerebral small vessel disease"Markus, Hugh; Amin Al Olama, Ali; Wason, James; Tuladhar, Anil Man; van Leijsen, Ester; Koini, Marissa; Hofer, Edith; Morris, Robin Guy; Schmidt, Reinhold; de Leeuw, Frank-Eric; Markus, Hugh [0000-0002-9794-5996]; Wason, James [0000-0002-4691-126X]Item Open Access Research data supporting "Stenting for symptomatic vertebral artery stenosis: a preplanned pooled individual patient data analysis"Markus, Hugh S; Harshfield, Eric L; Compter, Annette; Kuker, Wilhelm; Kappelle, L Jaap; Clifton, Andrew; van der Worp, H Bart; Rothwell, Peter; Algra, Ale; Markus, Hugh [0000-0002-9794-5996]; Harshfield, Eric [0000-0001-8767-0928]Item Open Access Research data supporting: Eustachian tube dysfunction: A diagnostic accuracy study and proposed diagnostic pathway.Smith, Matthew E; Tysome, James; Smith, Matthew [0000-0001-8147-1549]Item Open Access Research data supporting Opinion of Intensive Care Professionals on Glycaemic ControlFernandez-Mendez, R; Harvey, DJR; Windle, R; Adams, GGItem Open Access Research data supporting "Brain connectivity during propofol sedation"(University of Cambridge, 2015-11-25) Chennu, Srivas; O’ Connor, Stuart; Adapa, Ram; Menon, David K.; Bekinschtein, Tristan A.Accurately measuring the neural correlates of consciousness is a grand challenge for neuroscience. Despite theoretical advances, developing reliable brain measures to track the loss of reportable consciousness during sedation is hampered by significant individual variability in susceptibility to anaesthetics. We addressed this challenge using high-density electroencephalography to characterise changes in brain networks during propofol sedation. Assessments of spectral connectivity networks before, during and after sedation were combined with measurements of behavioural responsiveness and drug concentrations in blood. Strikingly, we found that participants who had weaker alpha band networks at baseline were more likely to become unresponsive during sedation, despite registering similar levels of drug in blood. In contrast, phase-amplitude coupling between slow and alpha oscillations correlated with drug concentrations in blood. Our findings highlight novel markers that prognosticate individual differences in susceptibility to propofol and track drug exposure. These advances could inform accurate drug titration and brain state monitoring during anaesthesia.