Data - Clinical NeurosciencesNo Descriptionhttps://www.repository.cam.ac.uk/handle/1810/2473382024-03-29T06:24:45Z2024-03-29T06:24:45Z141COL4A1/A2 transcriptomicGranata, AlessandraAl-Thani, MahaGoodwin, MaryBell, StevenPatel, KrushangiMarkus, HughSinha, Sanjayhttps://www.repository.cam.ac.uk/handle/1810/3569932024-01-18T14:03:01Zdc.title: COL4A1/A2 transcriptomic
dc.contributor.author: Granata, Alessandra; Al-Thani, Maha; Goodwin, Mary; Bell, Steven; Patel, Krushangi; Markus, Hugh; Sinha, Sanjay
dc.description: Bulk RNAseq analysis of hiPSC-derived MC for COL4A1/A2 SVD-related mutations and isogenic control lines.
AlphaFold models of NF155, CNTN1 and Caspr extracellular domainsDeane, JanetMcKie, ShannonGraham, Stephenhttps://www.repository.cam.ac.uk/handle/1810/3460352023-04-12T07:49:16Zdc.title: AlphaFold models of NF155, CNTN1 and Caspr extracellular domains
dc.contributor.author: Deane, Janet; McKie, Shannon; Graham, Stephen
dc.description: AlphaFold2 Multimer models and associated quality statistics for NF155-ECD, CNTN1-ECD and Caspr-ECD generated using default parameters and run via a locally installed version of ColabFold (version 1.3.0). The final AF2 model refined using molecular dynamics with flexible fitting into the negative stain electron density map deposited at the EMDB (EMD-16540). Folders include: (i) the original NF155_ECD AF2 models with associated statistics; (ii) refined NF155-ECD model fit to the EM map; (iii) CNTN1-ECD AF2 models with associated statistics; (iv) Caspr-ECD AF2 models with associated statistics.
AlphaFold models of PTPRM and PTPRK extracellular domainsDeane, JanetHay, Iainhttps://www.repository.cam.ac.uk/handle/1810/3375402023-01-18T18:37:22Zdc.title: AlphaFold models of PTPRM and PTPRK extracellular domains
dc.contributor.author: Deane, Janet; Hay, Iain
dc.description: AlphaFold2 Multimer models and associated quality statistics generated using default parameters and run via a locally installed version of AF2 Multimer (version 2.1.0). Folders for each of two distinct predictions are included: PTPRK ECD and PTPRM ECD.
AlphaFold2 Multimer models of PTPRK and Afadin domainsDeane, JanetHay, IainGraham, StephenSharpe, Hayleyhttps://www.repository.cam.ac.uk/handle/1810/3353392022-11-09T13:26:01Zdc.title: AlphaFold2 Multimer models of PTPRK and Afadin domains
dc.contributor.author: Deane, Janet; Hay, Iain; Graham, Stephen; Sharpe, Hayley
dc.description: AlphaFold2 Multimer models and associated quality statistics generated using default parameters and run via a locally installed version of AF2 Multimer (version 2.1.0). Folders for each of four distinct predictions are included:
Complex of PTPRK full intracellular domain (ICD) with Afadin coiled coil (CC)
Complex of PTPRK D2 domain with Afadin CC full length
Complex of PTPRK D2 domain with Afadin CC minimal binding region
PTPRM D2 domain alone
SSiN-VA outcomes for twelve normal-hearing participantsSalorio Corbetto, MarinaPicinali, LorenzoWilliges, BenLamping, WiebkeVickers, Deborahhttps://www.repository.cam.ac.uk/handle/1810/3328422022-07-01T06:39:44Zdc.title: SSiN-VA outcomes for twelve normal-hearing participants
dc.contributor.author: Salorio Corbetto, Marina; Picinali, Lorenzo; Williges, Ben; Lamping, Wiebke; Vickers, Deborah
dc.description: Spatial hearing is critical for communication in everyday multi-talker, sound-rich environments. To gain an understanding of how well users of bilateral hearing devices function in complex sound environments, and to be able to regularly monitor their performance outside of the clinics, we have implemented a Virtual Acoustics (VA) version of the Spatial Speech in Noise (SSiN) test (1), named the SSiN-VA.
The SSiN-VA allows for simultaneous assessment of speech discrimination and relative localisation with changing source locations in the presence of noise. The use of this dual-task paradigm increases the cognitive load to better represent the difficulties faced by listeners in noisy real-world environments.
For many current speech assessments, patients need to visit a clinic and undergo testing using a multi loudspeaker array. This is time consuming for the patient and clinician. The equipment is costly and has a large footprint, taking up vital clinical space. In reality this often means that spatial hearing assessments are not conducted at all. As we move towards a clinical model where patients take greater control of their healthcare outcomes and a greater number of clinical appointments are conducted remotely, outcome measures that allow patients to carry out assessments at home are becoming more relevant.
The SSiN-VA was implemented using the 3D Tune-In Toolkit (2) to simulate seven loudspeaker locations, spaced at 30° intervals with azimuths between +90° and –90°, and rendered for headphone playback using the binaural spatialisation technique. Twelve normal-hearing participants were assessed to evaluate if the virtual implementation of the test produced similar results to using a loudspeaker array. They were tested at three different individually selected speech-to-noise ratios (SNRs).
1. Bizley JK, Elliott N, Wood KC, Vickers DA. Simultaneous assessment of speech identification and spatial discrimination: A potential testing approach for bilateral cochlear implant users? Trends in Hearing. 2015 Dec 1;19:2331216515619573.
2. Cuevas-Rodríguez M, Picinali L, González-Toledo D, Garre C, de la Rubia-Cuestas E, Molina-Tanco L, et al. 3D Tune-In Toolkit: An open-source library for real-time binaural spatialisation. PloS one. 2019;14(3):1–37.
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, RichardWright, AlanBrindle, Kevinhttps://www.repository.cam.ac.uk/handle/1810/3327172023-05-04T13:46:04Zdc.title: 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 Glioblastoma
dc.contributor.author: Mair, Richard; Wright, Alan; Brindle, Kevin
dc.description: Raw data associated with "Metabolic Imaging Detects Low Levels of Glycolytic Activity That Vary with Levels of c-Myc Expression in Patient-Derived Xenograft Models of Glioblastoma" at https://doi.org/10.1158/0008-5472.CAN-18-0759
Data in Figures published in Wang et al. J Biomech Eng 2021Wilson, DavidWang, RuTsai, Jheng-HanSnead, MartinAlexander, Philiphttps://www.repository.cam.ac.uk/handle/1810/3309832022-08-25T18:31:44Zdc.title: Data in Figures published in Wang et al. J Biomech Eng 2021
dc.contributor.author: Wilson, David; Wang, Ru; Tsai, Jheng-Han; Snead, Martin; Alexander, Philip
dc.description: Excel spreadsheet providing the data presented in the plots in the paper. See readme sheet for detailed information on the type and origin of the data
Research data supporting "Dopaminergic brainstem disconnection is common to pharmacological and pathological consciousness perturbation"Spindler, Lennarthttps://www.repository.cam.ac.uk/handle/1810/3249212021-12-06T08:33:18Zdc.title: Research data supporting "Dopaminergic brainstem disconnection is common to pharmacological and pathological consciousness perturbation"
dc.contributor.author: Spindler, Lennart
dc.description: These are the data that underpin all analyses and figures in the publication.
The Excel spreadsheet contains functional connectivity estimates (beta values) extracted from the general linear model (GLM) for both cohorts for the VTA to Precuneus, and the Precuneus to its respective "downstream" targets. The sheets are labelled corresponding to the population in question, namely disorders of consciousness patients, the healthy volunteers from the propofol study and the traumatic brain injury patients receiving methylphenidate.
The processed image files are the masks that underpin all figures throughout the paper, and are labelled corresponding to the panel in which they are visualised, including the peak coordinates of relevant clusters.
Research data supporting "A simple MRI scores aids prediction of dementia in cerebral small vessel disease"Markus, HughAmin Al Olama, AliWason, JamesTuladhar, Anil Manvan Leijsen, EsterKoini, MarissaHofer, EdithMorris, Robin GuySchmidt, Reinholdde Leeuw, Frank-Erichttps://www.repository.cam.ac.uk/handle/1810/3045802021-12-05T06:29:42Zdc.title: Research data supporting "A simple MRI scores aids prediction of dementia in cerebral small vessel disease"
dc.contributor.author: 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
dc.description: Data from the three studies used in analysis in this paper. The three studies are SCANS, RUN DMC and ASPS. The dataset is the pooled dataset used to look at prediction of dementia using the simple MRI score and the amended MRI score.
Fields are:
Age-years
Gender
Dementia during follow-up - 1=dementia
Years of education
EF= Executive function
PS= Processing speed
Global=global cognitive score
Diabetes mellitus - 1=yes
smoking
Hypertension 1=yes
hypercholesterolaemia-1=yes
Number of lacunes- zero or more than zero
Fazekas white matter hyperintensity category
Study data originated from -SCANS-RUN DMC ASPS
Study1- differentiates which ASPS dataset data came from
SVD simple score
SVD amended score
Fazekas score
Lacune count
CMB count
Research data supporting "Stenting for symptomatic vertebral artery stenosis: a preplanned pooled individual patient data analysis"Markus, Hugh SHarshfield, Eric LCompter, AnnetteKuker, WilhelmKappelle, L JaapClifton, Andrewvan der Worp, H BartRothwell, PeterAlgra, Alehttps://www.repository.cam.ac.uk/handle/1810/2928652022-08-24T01:54:14Zdc.title: Research data supporting "Stenting for symptomatic vertebral artery stenosis: a preplanned pooled individual patient data analysis"
dc.contributor.author: Markus, Hugh S; Harshfield, Eric L; Compter, Annette; Kuker, Wilhelm; Kappelle, L Jaap; Clifton, Andrew; van der Worp, H Bart; Rothwell, Peter; Algra, Ale
dc.description: Excel file containing individual participant data from three randomised controlled trials comparing stenting/angioplasty with medical treatment in patients with vertebral artery stenosis.
Individual patient data for VIST and VAST were obtained from the trial investigators, and individual patient data for SAMMPRIS were obtained from the National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke (NINDS) clinical trial data portal (https://clinicaltrials.gov/ct2/show/NCT00576693).
A data dictionary is provided within the Excel file that describes the variables contained in the dataset. All personally identifiable information has been removed from the file.