Delayed embryonic development or long sperm survival in embryo donor mares

Autor: McCue, PM, Matthews, PM, Prell, MJ, Bellone, RR, Allen, H

Publikováno v: In Journal of Equine Veterinary Science June 2022 113

Imaging synaptic microstructure and synaptic loss in vivo in early Alzheimer’s Disease

Autor: Venkataraman, A, Bishop, C, Mansur, A, Rizzo, G, Lewis, Y, Kocagoncu, E, Lingford-Hughes, A, Huiban, M, Passchier, J, Rowe, JB, Tsukada, H, Brooks, DJ, Martarello, L, Comley, RA, Chen, L, Hargreaves, R, Schwarz, AJ, Gunn, RN, Rabiner, E, Matthews, PM

Background Synaptic loss and neurite dystrophy are early events in Alzheimer’s Disease (AD). We aimed to characterise early synaptic microstructural changes in vivo. Methods MRI neurite orientation dispersion and density imaging (NODDI) and diffusi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::e0728b485616a9a682d643074deace6e
http://hdl.handle.net/10044/1/93156

Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort

Autor: Chua, SYL, Lascaratos, G, Atan, D, Zhang, B, Reisman, C, Khaw, PT, Smith, SM, Matthews, PM, Petzold, A, Strouthidis, NG, Foster, PJ, Khawaja, AP, Patel, PJ, UK Biobank Eye, Vision Consortium

Publikováno v: Chua, S Y L, Lascaratos, G, Atan, D, Zhang, B, Reisman, C, Khaw, P T, Smith, S M, The UK Biobank Eye, Vision Consortium, Matthews, P M, Petzold, A, Strouthidis, N G, Foster, P J, Khawaja, A P & Patel, P J 2021, ' Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort ', European Journal of Neurology, vol. 28, no. 5, pp. 1490-1498 . https://doi.org/10.1111/ene.14706
European Journal of Neurology, 28(5), 1490-1498. Wiley-Blackwell
European Journal of Neurology
Chua, S Y L, Lascaratos, G, Atan, D, Zhang, B, Reisman, C, Khaw, S P T, Smith, S M, Matthews, P M, Petzold, A, Strouthidis, N J, Foster, P J, Khawaja, A P & Patel, P J 2021, ' Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort ', European Journal of Neurology, vol. 28, no. 5, pp. 1490-1498 . https://doi.org/10.1111/ene.14706

Background and purpose Current methods to diagnose neurodegenerative diseases are costly and invasive. Retinal neuroanatomy may be a biomarker for more neurodegenerative processes and can be quantified in vivo using optical coherence tomography (OCT)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22259d6137e97012db5fc98cb6e16677
https://research.vumc.nl/en/publications/44e25e16-7556-4f3b-a624-d2dbb434f900

The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability

Autor: LaRocca, NG, Hudson, LD, Rudick, R, Amtmann, D, Balcer, L, Benedict, R, Bermel, R, Chang, I, Chiaravalloti, ND, Chin, P, Cohen, JA, Cutter, GR, Davis, MD, DeLuca, J, Feys, P, Francis, G, Goldman, MD, Hartley, E, Kapoor, R, Lublin, F, Lundstrom, G, Matthews, PM, Mayo, N, Meibach, R, Miller, DM, Motl, RW, Mowry, EM, Naismith, R, Neville, J, Panagoulias, J, Panzara, M, Phillips, G, Robbins, A, Sidovar, MF, Smith, KE, Sperling, B, Uitdehaag, BM, Weaver, J, Multiple Sclerosis Outcome Assessments Consortium (MSOAC)

Publikováno v: Multiple Sclerosis Journal, 24(11), 1469-1484. SAGE Publications Ltd
Multiple Sclerosis (Houndmills, Basingstoke, England)
Multiple Sclerosis Outcome Assessments Consortium (MSOAC) 2018, ' The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability ', Multiple Sclerosis Journal, vol. 24, no. 11, pp. 1469-1484 . https://doi.org/10.1177/1352458517723718

Background: The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) was formed by the National MS Society to develop improved measures of multiple sclerosis (MS)-related disability. Objectives: (1) To assess the current literature and available

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c0a745dfe2c0510c571629e202d3b03
https://research.vumc.nl/en/publications/fb260b55-8245-4745-81e8-76c5dc4e2019

Human-level CMR image analysis with deep fully convolutional networks

Autor: Bai, W, Sinclair, M, Tarroni, G, Oktay, O, Rajchl, M, Vaillant, G, Lee, AM, Aung, N, Lukaschuk, E, Sanghvi, MM, Zemrak, F, Fung, K, Paiva, JM, Carapella, V, Kim, YJ, Suzuki, H, Kainz, B, Matthews, PM, Petersen, SE, Piechnik, SK, Neubauer, S, Glocker, B, Rueckert, D

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::70518ada36ed2bfc42fe59a84b456cb2
http://hdl.handle.net/10044/1/54263