Ana Verdelho

ORCID: 0000-0003-4945-4946
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About
Contact & Profiles
Research Areas
  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Amyotrophic Lateral Sclerosis Research
  • Acute Ischemic Stroke Management
  • Cerebrovascular and Carotid Artery Diseases
  • Neurological Disease Mechanisms and Treatments
  • Advanced Neuroimaging Techniques and Applications
  • Neurological Disorders and Treatments
  • Aging, Elder Care, and Social Issues
  • Cerebrovascular and genetic disorders
  • Prion Diseases and Protein Misfolding
  • Functional Brain Connectivity Studies
  • Trace Elements in Health
  • Iron Metabolism and Disorders
  • Parkinson's Disease Mechanisms and Treatments
  • Neurobiology of Language and Bilingualism
  • Healthcare Systems and Practices
  • Health, Medicine and Society
  • Neurogenetic and Muscular Disorders Research
  • Neurological diseases and metabolism
  • Stroke Rehabilitation and Recovery
  • Health Systems, Economic Evaluations, Quality of Life
  • Cerebrospinal fluid and hydrocephalus
  • Cognitive Abilities and Testing
  • Neurological disorders and treatments

Hospital de Santa Maria
2014-2024

University of Lisbon
2015-2024

University of Coimbra
2018-2024

Centro Hospitalar Lisboa Norte
2016-2024

Instituto de Saúde
2019-2024

Lusíada University of Lisbon
2024

IPO Porto
2017-2024

Centro Hospitalar do Porto
2023

Hospitais da Universidade de Coimbra
2019-2023

Instituto de Medicina Tropical
2023

Alexandra L. Young Răzvan V. Marinescu Neil P. Oxtoby Martina Bocchetta Keir Yong and 95 more Nicholas C. Firth David M. Cash David L. Thomas Katrina M. Dick M. Jorge Cardoso John C. van Swieten Barbara Borroni Daniela Galimberti Mario Masellis Maria Carmela Tartaglia James B. Rowe Caroline Graff Fabrizio Tagliavini Giovanni B. Frisoni Robert Laforce Elizabeth Finger Alexandre de Mendonça Sandro Sorbi Jason D. Warren Sebastian J. Crutch Nick C. Fox Sébastien Ourselin Jonathan M. Schott Jonathan D. Rohrer Daniel C. Alexander Christin Andersson Silvana Archetti Andrea Arighi Luisa Benussi Giuliano Binetti Sandra E. Black Maura Cosseddu Marie Fallström Carlos Ferreira Chiara Fenoglio Morris Freedman Giorgio Fumagalli Stefano Gazzina Roberta Ghidoni Marina Grisoli Vesna Jelić Lize C. Jiskoot Ron Keren Gemma Lombardi Carolina Maruta Lieke Meeter Simon Mead Rick van Minkelen Benedetta Nacmias Linn Öijerstedt Alessandro Padovani Jessica Panman Michela Pievani Cristina Polito Enrico Premi Sara Prioni Rosa Rademakers Veronica Redaelli Ekaterina Rogaeva Giacomina Rossi Martin N. Rossor Elio Scarpini David F. Tang‐Wai Håkan Thonberg Pietro Tiraboschi Ana Verdelho Michael W. Weiner Paul Aisen Ronald Petersen Clifford R. Jack William J. Jagust John Q. Trojanowki Arthur W. Toga Laurel Beckett Robert C. Green Andrew J. Saykin John C. Morris Leslie M. Shaw Zaven S. Khachaturian Greg Sorensen Lew Kuller Marc Raichle Steven M. Paul Peter Davies Howard Fillit Franz Hefti Davie Holtzman M. Marcel Mesulam William C. Potter Peter J. Snyder Adam Schwartz Tom Montine Ronald G. Thomas Michael Donohue Sarah Walter

Abstract The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct trajectories. Here we introduce machine-learning technique—Subtype Stage Inference (SuStaIn)—able uncover data-driven with temporal progression patterns, from widely available cross-sectional patient studies. Results imaging studies in two reveal subgroups their trajectories regional...

10.1038/s41467-018-05892-0 article EN cc-by Nature Communications 2018-10-09
Olivia Anna Skrobot Sandra E. Black Christopher Chen Charles DeCarli Timo Erkinjuntti and 95 more Gary A. Ford Raj N. Kalaria John T. O’Brien Leonardo Pantoni Florence Pasquier Gustavo C. Román Anders Wallin Perminder S. Sachdev Ingmar Skoog Fernando E. Taragano Jillian J. Kril Margherita Cavalieri K. A. Jellinger Gábor G. Kovács S. Engelborghs C. Lafosse Paulo Henrique Ferreira Bertolucci Sônia Maria Dozzi Brucki Paulo Caramelli Tania C. T. Ferraz Alves Christian Bocti Tamàs Fülöp David B. Hogan Ging‐Yuek Robin Hsiung Andrew Kirk Lopa Leach A. Robillard Demetrios J. Sahlas Qihao Guo Jiang Tian Laura Hokkanen Hanna Jokinen Sarah Benisty Vincent Deramecourt Jean‐Jacques Hauw H. Lenoir Marianna Tsatali Magda Tsolaki Uma Sundar Robert F. Coen Amos D. Korczyn M. Altieri Marzia Baldereschi C. Caltagirone G. Caravaglios Antonio Di Carlo Vittorio Di Piero Guido Gainotti Samantha Galluzzi Giancarlo Logroscino Patrizia Mecocci Davide Vito Moretti Alessandro Padovani Toshiya Fukui Masafumi Ihara Toshiki Mizuno Soo Young Kim Rufus Akinyemi Olusegun Baiyewu Adesola Ogunniyi A. Szczudlik António J. Bastos‐Leite Horácio Firmino João Massano Ana Verdelho L. S. Kruglov M. Kamran Ikram Nagaendran Kandiah Estanislao Arana José Barroso T Calatayud Alfonso J. Cruz‐Jentoft Secundino López‐Pousa Pablo Martínez‐Lage María Mataró Anne Börjesson‐Hanson Elisabet Englund Erika J. Laukka Cheng-Wei Qiu Matti Viitanen Geert Jan Biessels F.‐E. de Leeuw Tom den Heijer Lieza G. Exalto L. Jaap Kappelle Niels D. Prins Edo Richard Ben Schmand Esther van den Berg Wiesje M. van der Flier Başar Bılgıç Louise Allan Judy Archer Johannes Attems Antony Bayer

Abstract Introduction Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack consensus on diagnosis, reflecting the use multiple different assessment protocols. A large multinational group clinicians researchers participated a two‐phase Vascular Impairment Cognition Classification Consensus Study (VICCCS) to agree principles (VICCCS‐1) protocols (VICCCS‐2) for diagnosis VCI. We present VICCCS‐2. Methods used VICCCS‐1 published diagnostic...

10.1016/j.jalz.2017.09.007 article EN Alzheimer s & Dementia 2017-10-19
Olivia Anna Skrobot John T. O’Brien Sandra E. Black Christopher Chen Charles DeCarli and 95 more Timo Erkinjuntti Gary A. Ford Raj N. Kalaria Leonardo Pantoni Florence Pasquier Gustavo C. Román Anders Wallin Perminder S. Sachdev Ingmar Skoog Fernando E. Taragano Jillian J. Kril Margherita Cavalieri K. A. Jellinger Gábor G. Kovács S. Engelborghs C. Lafosse Paulo Henrique Ferreira Bertolucci Sônia Maria Dozzi Brucki Paulo Caramelli Tania C. T. Ferraz Alves Christian Bocti Tamàs Fülöp David B. Hogan Ging‐Yuek Robin Hsiung Andrew Kirk Lopa Leach A. Robillard Demetrios J. Sahlas Qihao Guo Jiang Tian Laura Hokkanen Hanna Jokinen Sarah Benisty Vincent Deramecourt Jean‐Jacques Hauw H. Lenoir Marianna Tsatali Magda Tsolaki Uma Sundar Robert F. Coen Amos D. Korczyn M. Altieri Marzia Baldereschi C. Caltagirone G. Caravaglios Antonio Di Carlo Vittorio Di Piero Guido Gainotti Samantha Galluzzi Giancarlo Logroscino Patrizia Mecocci Davide Vito Moretti Alessandro Padovani Toshiya Fukui Masafumi Ihara Toshiki Mizuno Sooyoung Kim Rufus Akinyemi Olusegun Baiyewu Adesola Ogunniyi A. Szczudlik António J. Bastos‐Leite Horácio Firmino João Massano Ana Verdelho L. S. Kruglov M. Kamran Ikram Nagaendran Kandiah Estanislao Arana José Barroso T Calatayud Alfonso J. Cruz‐Jentoft Secundino López‐Pousa Pablo Martínez‐Lage María Mataró Anne Börjesson‐Hanson Elisabet Englund Erika J. Laukka Cheng-Wei Qiu Matti Viitanen Geert Jan Biessels F.‐E. de Leeuw Tom den Heijer Lieza G. Exalto L. Jaap Kappelle Niels D. Prins Edo Richard Ben Schmand Esther van den Berg Wiesje M. van der Flier Başar Bılgıç Louise Allan Judy Archer Johannes Attems Antony Bayer

Abstract Introduction Numerous diagnostic criteria have tried to tackle the variability in clinical manifestations and problematic diagnosis of vascular cognitive impairment (VCI) but none been universally accepted. These not readily comparable, impacting on rates turn prevalence estimates, research, treatment. Methods The Vascular Impairment Cognition Classification Consensus Study (VICCCS) involved participants (81% academic researchers) from 27 countries an online Delphi consensus study....

10.1016/j.jalz.2016.10.007 article EN Alzheimer s & Dementia 2016-12-10

Background and Purpose- Cerebral small vessel disease is characterized by a wide range of focal global brain changes. We used magnetic resonance imaging segmentation tool to quantify multiple types disease-related changes examined their individual combined predictive value on cognitive functional abilities. Methods- Magnetic scans 560 older individuals from LADIS (Leukoaraiosis Disability Study) were analyzed using automated atlas- convolutional neural network-based methods yielding...

10.1161/strokeaha.119.026170 article EN cc-by Stroke 2019-11-08

The optimal management of post-stroke cognitive impairment (PSCI) remains controversial. These joint European Stroke Organisation (ESO) and Academy Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making regarding prevention, diagnosis, treatment prognosis.Guidelines were developed according the Grading Recommendations, Assessment, Development Evaluation (GRADE) methodology. working group identified relevant clinical questions, performed...

10.1111/ene.15068 article EN European Journal of Neurology 2021-09-03

On cerebral magnetic resonance imaging (MRI), white matter hyperintensities (WMH) and lacunes are generally viewed as evidence of small vessel disease. The clinical significance disease in terms global cognitive function has yet not been completely clarified. We investigated the independent contribution WMH to general a group independently living elderly with varying degrees disease.Data were drawn from multicenter, multinational Leukokraurosis Disability (LADIS) study. There 633...

10.1161/01.str.0000179092.59909.42 article EN Stroke 2005-09-03

<i>Background:</i> Cross-sectional studies have indicated that subcortical ischemic vascular disease (SIVD), as defined according to imaging criteria, is associated with a specific clinical and cognitive profile. Much less known about the long-term consequences of SIVD. The aim study was investigate longitudinal performance incident dementia in subjects without SIVD sample older adults white matter lesions. <i>Methods:</i> In Leukoaraiosis Disability (LADIS) study,...

10.1159/000207442 article EN Cerebrovascular Diseases 2009-01-01

In cerebral small vessel disease, the core MRI findings include white matter lesions (WML) and lacunar infarcts. While clinical significance of WML is better understood, contribution lacunes to rate cognitive decline has not been established. This study investigated whether incident on determine longitudinal change in elderly subjects with WML.Within Leukoaraiosis Disability Study (LADIS), 387 were evaluated repeated neuropsychological assessment at baseline after 3 years. Predictors global...

10.1212/wnl.0b013e31821d752f article EN Neurology 2011-05-05

<b>Objective:</b> We aimed to study if age-related white matter changes (WMC) and vascular risk factors were predictors of cognitive decline in elderly subjects with WMC living independently. <b>Methods:</b> The Leukoaraiosis Disability prospective multinational European (LADIS) evaluates the impact on transition independent into disability. Independent enrolled due presence WMC. Subjects evaluated yearly during 3 years a comprehensive clinical protocol neuropsychological battery....

10.1212/wnl.0b013e3181e7ca05 article EN Neurology 2010-07-12

Frontotemporal dementia (FTD) is a highly heritable condition with multiple genetic causes. In this study, similarities and differences of gray matter (GM) atrophy patterns were assessed among 3 common forms FTD (mutations in C9orf72, GRN, MAPT). Participants from the Genetic Initiative (GENFI) cohort suitable volumetric T1 magnetic resonance imaging scan included (319): 144 nonmutation carriers, 128 presymptomatic mutation 47 clinically affected carriers. Cross-sectional GM volume between...

10.1016/j.neurobiolaging.2017.10.008 article EN cc-by Neurobiology of Aging 2017-10-19

<h3>Background and purpose:</h3> Age related white matter changes (ARWMC) are frequent in non-demented old subjects associated with impaired cognitive function. Our aim was to study the influence of vascular risk factors ARWMC on neuropsychological performance an independent elderly population, see if impair cognition addition effects ARWMC. <h3>Methods:</h3> Independent subjects, aged 65–84 years, any degree were assessed using a comprehensive battery including Mini-Mental State Examination...

10.1136/jnnp.2006.110361 article EN Journal of Neurology Neurosurgery & Psychiatry 2007-04-30

Objective: To examine the independent contributions and combined interactions of medial temporal lobe atrophy (MTA), cortical subcortical atrophy, white matter lesion (WML) volume in longitudinal cognitive performance. Methods: A total 477 subjects with age-related WML were evaluated brain MRI annual neuropsychological examinations 3-year follow-up. Baseline determinants decline analyzed linear mixed models controlling for multiple confounders. Results: MTA predicted significantly steeper...

10.1212/wnl.0b013e3182583070 article EN Neurology 2012-05-17

We aimed to study if physical activity could interfere with progression for cognitive impairment and dementia in older people white matter changes living independently.The LADIS (Leukoaraiosis Disability) prospective multinational European evaluates the impact of on transition independent elderly subjects into disability. Subjects were evaluated yearly during 3 years a comprehensive clinical protocol assessment classification according usual criteria. Physical was recorded interview. MRI...

10.1161/strokeaha.112.661793 article EN Stroke 2012-11-03

The optimal management of post-stroke cognitive impairment remains controversial. These joint European Stroke Organisation (ESO) and Academy Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making around prevention, diagnosis, treatment prognosis. were developed according ESO standard operating procedure the Grading Recommendations, Assessment, Development Evaluation (GRADE) methodology. working group identified relevant clinical questions,...

10.1177/23969873211042192 article EN cc-by European Stroke Journal 2021-09-01

<b><i>Objective:</i></b> To determine frequency, determinants, and time course of poststroke depressive symptoms (DS) their relationship with dementia. <b><i>Methods:</i></b> Two hundred two consecutive stroke patients were prospectively evaluated for DS, followed up over a 3-year period. Patients Montgomery Asberg Depression Rating Scale (MADRS) scores ≥7 considered as having DS. The severity the neurologic deficit, functional outcome, dementia quantified Orgogozo Scale, modified Rankin...

10.1212/01.wnl.0000115107.66957.8c article EN Neurology 2004-03-23

<h3>Objectives:</h3> In cerebral small vessel disease, white-matter hyperintensities (WMH) and lacunes are both related to cognition. Still, their respective contribution in older people remains unclear. The purpose of this study is assess the topographic distribution determine whether it has an impact on cognitive functions a sample non-disabled patients with age-related changes. <h3>Methods:</h3> Data were drawn from baseline evaluation LADIS (Leucoaraioisis Disability study) cohort...

10.1136/jnnp.2008.160440 article EN Journal of Neurology Neurosurgery & Psychiatry 2009-02-12

The mechanisms by which leukoariosis impacts on clinical and cognitive functions are not yet fully understood. We hypothesized that ultrastructural abnormalities of the normal-appearing brain tissue (NABT) assessed diffusion-weighted imaging played a major independent role.In addition to comprehensive clinical, neuropsychologic, work-up, was performed in 340 participants multicenter disability study examining impact white matter hyperintensities (WMH) 65- 85-year old individuals without...

10.1161/strokeaha.109.576629 article EN Stroke 2010-03-05

Background and Purpose— White matter lesion (WML) progression has been advocated as a surrogate marker in intervention trials on cerebral small vessel disease. We assessed the rate of visually rated WML progression, studied correlations between cognition, estimated sample sizes for clinical with pure vs combined progression-cognitive outcomes. Methods— Those 394 participants Leukoaraiosis Disability Study (LADIS) study magnetic resonance imaging scanning at baseline 3-year follow-up were...

10.1161/strokeaha.112.662593 article EN Stroke 2012-08-10

<h3>Objective</h3> Depressive symptoms (DS) have been associated with increased risk of cognitive decline. Our aim was to evaluate the longitudinal influence DS on cognition in independent older people, accounting for severity white matter changes (WMC). <h3>Methods</h3> The LADIS (Leukoaraiosis And DISability elderly) prospective study evaluated impact WMC transition subjects into disability. Subjects were annually over a 3 year period comprehensive clinical and neuropsychological...

10.1136/jnnp-2012-304191 article EN Journal of Neurology Neurosurgery & Psychiatry 2013-05-28

Genetic frontotemporal dementia is most commonly caused by mutations in the progranulin (GRN), microtubule-associated protein tau (MAPT) and chromosome 9 open reading frame 72 (C9orf72) genes. Previous small studies have reported presence of cerebral white matter hyperintensities (WMH) genetic FTD but this has not been systematically studied across different mutations. In study WMH were assessed 180 participants from Initiative (GENFI) with 3D T1- T2-weighed magnetic resonance images: 43...

10.1016/j.nicl.2017.04.015 article EN cc-by NeuroImage Clinical 2017-01-01
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