Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Robbert L Harms"'
Autor:
Marijn Muurling, Casper de Boer, Srinivasan Vairavan, Robbert L. Harms, Antonella Santuccione Chadha, Ioannis Tarnanas, Estefania Vilarino Luis, Dorota Religa, Martha Therese Gjestsen, Samantha Galluzzi, Marta Ibarria Sala, Ivan Koychev, Lucrezia Hausner, Mara Gkioka, Dag Aarsland, Pieter Jelle Visser, Anna-Katharine Brem
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Augmented reality (AR) apps, in which the virtual and real world are combined, can recreate instrumental activities of daily living (IADL) and are therefore promising to measure cognition needed for IADL in early Alzheimer’s disease (AD) b
Externí odkaz:
https://doaj.org/article/9849069b1e0c480cb921133b632c90a4
Autor:
Azizi A. Seixas, Farid Rajabli, Margaret A. Pericak-Vance, Girardin Jean-Louis, Robbert L. Harms, Ioannis Tarnanas
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
BackgroundMixed results in the predictive ability of traditional biomarkers to determine cognitive functioning and changes in older adults have led to misdiagnosis and inappropriate treatment plans to address mild cognitive impairment and dementia am
Externí odkaz:
https://doaj.org/article/7dd1c230dbcb463a9e85f14e222b11fd
Autor:
Maximilian Buegler, Robbert L. Harms, Mircea Balasa, Irene B. Meier, Themis Exarchos, Laura Rai, Rory Boyle, Adria Tort, Maha Kozori, Eutuxia Lazarou, Michaela Rampini, Carlo Cavaliere, Panagiotis Vlamos, Magda Tsolaki, Claudio Babiloni, Andrea Soricelli, Giovanni Frisoni, Raquel Sanchez‐Valle, Robert Whelan, Emilio Merlo‐Pich, Ioannis Tarnanas
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020)
Abstract Background Research investigating treatments and interventions for cognitive decline fail due to difficulties in accurately recognizing behavioral signatures in the presymptomatic stages of the disease. For this validation study, we took our
Externí odkaz:
https://doaj.org/article/107b6ab452dc4d0385a58c63daf4cf50
Autor:
Robbert L. Harms, Alard Roebroeck
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
In diffusion MRI analysis, advances in biophysical multi-compartment modeling have gained popularity over the conventional Diffusion Tensor Imaging (DTI), because they can obtain a greater specificity in relating the dMRI signal to underlying cellula
Externí odkaz:
https://doaj.org/article/b7317ba8cad6412d9707c1497a2f36f4
Autor:
Alexandra Tobisch, Rüdiger Stirnberg, Robbert L. Harms, Thomas Schultz, Alard Roebroeck, Monique M. B. Breteler, Tony Stöcker
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Mapping non-invasively the complex microstructural architecture of the living human brain, diffusion magnetic resonance imaging (dMRI) is one of the core imaging modalities in current population studies. For the application in longitudinal population
Externí odkaz:
https://doaj.org/article/1e6b05b25686494aa5cbd9cb91f2b369
Autor:
Andrew R Mayer, Josef M Ling, Andrew B Dodd, David D Stephenson, Sharvani Pabbathi Reddy, Cidney R Robertson-Benta, Erik B Erhardt, Robbert L Harms, Timothy B Meier, Andrei A Vakhtin, Richard A Campbell, Robert E Sapien, John P Phillips
Publikováno v:
Brain
The underlying pathophysiology of paediatric mild traumatic brain injury and the time-course for biological recovery remains widely debated, with clinical care principally informed by subjective self-report. Similarly, clinical evidence indicates tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6610d3d49fca6d8272633b81d552035b
https://europepmc.org/articles/PMC10200286/
https://europepmc.org/articles/PMC10200286/
Autor:
Robbert L. Harms, Alberto Ferrari, Irene B. Meier, Julie Martinkova, Enrico Santus, Nicola Marino, Davide Cirillo, Simona Mellino, Silvina Catuara Solarz, Ioannis Tarnanas, Cassandra Szoeke, Jakub Hort, Alfonso Valencia, Maria Teresa Ferretti, Azizi Seixas, Antonella Santuccione Chadha
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Digital biomarkers are defined as objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices. Their use has revolutionized clinical research by enabling high-frequency, longitudinal, and sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214209579da6c34b617706e7518fbffa
https://hdl.handle.net/2117/368816
https://hdl.handle.net/2117/368816
Autor:
Francisco Lagos Fritz, Desmond H. Y. Tse, Shubharthi Sengupta, Benedikt A. Poser, Rainer Goebel, Alard Roebroeck, Robbert L. Harms, Sven Hildebrand
Publikováno v:
Neuroimage, 168, 162-171. Elsevier Science
Neuroimage
NeuroImage
Neuroimage
NeuroImage
Several magnetic resonance imaging (MRI) contrasts are sensitive to myelin content in gray matter in vivo which has ignited ambitions of MRI-based in vivo cortical histology. Ultra-high field (UHF) MRI, at fields of 7 T and beyond, is crucial to prov
Autor:
Derek K. Jones, Greg D. Parker, Robbert L. Harms, Suryanarayana Umesh Rudrapatna, Mark Drakesmith, C. John Evans
Publikováno v:
Neuroimage, 203:116186. Elsevier Science
Neuroimage
Neuroimage
The conduction velocity (CV) of action potentials along axons is a key neurophysiological property central to neural communication. The ability to estimate CV in humans in vivo from non-invasive MRI methods would therefore represent a significant adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59df7fc0000eab6e958d57de9749bc47
https://cris.maastrichtuniversity.nl/en/publications/3d88a75f-5f17-46bc-b97d-f9dc8b13e777
https://cris.maastrichtuniversity.nl/en/publications/3d88a75f-5f17-46bc-b97d-f9dc8b13e777
Autor:
Shubharthi Sengupta, Desmond H. Y. Tse, Robbert L. Harms, F. J. Fritz, Alard Roebroeck, Benedikt A. Poser
Publikováno v:
NeuroImage
Neuroimage, 202:116087. Elsevier Science
Neuroimage, 202:116087. Elsevier Science
Diffusion MRI (dMRI) in ex vivo human brain specimens is an important research tool for neuroanatomical investigations and the validation of dMRI techniques. Many ex vivo dMRI applications have benefited from very high dMRI resolutions achievable on