Keyword search (3,918 papers available)


Cerebral small vessel disease lesion segmentation methods: A systematic review

Author(s): Phelps J; Singh M; McCreary CR; Dallaire-Théroux C; Stein RG; Potvin-Jutras Z; Guan DX; Wu JD; Metz A; Smith EE;...

Cerebral small vessel disease (CSVD) can manifest as brain lesions visible on magnetic resonance imaging, including white matter hyperintensities (WMH), cerebral microbleeds (CMB), perivascular spa...

Article GUID: 41080650

The legality of weight discrimination in Canada: an environmental scan of case law and the limits of Canadian legislation

Author(s): Nutter S; Waugh R; McEachran E; Toor A; Shelley J; Alberga AS; Forhan M; Kirk SF; Nagpal TS; Patton I; Ramos Salas X; Russell-Mayhew S;...

Weight stigma negatively impacts people with higher weights across the lifespan as well as social contexts and can lead to weight discrimination. As weight is not a protected identity in Canadian h...

Article GUID: 41029703

The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond

Author(s): Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Fajardo Valdez A; Mohammedi...

The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is an investigator-driven study that was created in 2011 and enrolled cognitively normal o...

Article GUID: 41020412

Child and marital stress are associated with a psychophysiological index of self-regulatory capacities among parents of preschool children

Author(s): MacNeil S; da Estrela C; Caldwell W; Gouin JP;

Objective: A parent's ability to self-regulate influences parenting practices. Child-related stressors may deplete parent's self-regulatory capacities. However, this effect may be moderated by the marital context within which stressful parent-child ...

Article GUID: 40972822

Synergistic effects of exercise, cognitive training and vitamin D on gait performance and falls in mild cognitive impairment-secondary outcomes from the SYNERGIC trial

Author(s): Pieruccini-Faria F; Son S; Zou G; Almeida QJ; Middleton LE; Bray NW; Lussier M; Shoemaker JK; Speechley M; Liu-Ambrose T; Burhan AM; Camicio...

Background: Older adults with mild cognitive impairment (MCI) have a higher risk of gait impairments and falls; yet, the effects of multimodal interventions, including combinations of exercises wit...

Article GUID: 40966614

BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy

Author(s): Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F;

Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-depe...

Article GUID: 40927858

Development and Application of Children s Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk

Author(s): Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L;

Background: A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population. Methods: Children's (= 17 years) DXA data in NHANES (n =...

Article GUID: 40878792

Multivariate white matter microstructure alterations in older adults with coronary artery disease

Author(s): Tremblay SA; Potvin-Jutras Z; Sabra D; Rezaei A; Sanami S; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Leppert IR; Tardif CL; St...

Patients with coronary artery disease (CAD) face an increased risk of cognitive impairment, dementia, and stroke. While white matter (WM) lesions are frequently reported in patients with CAD, the e...

Article GUID: 40829939

The age of obesity onset affects changes in subcutaneous adipose tissue macrophages and T cells after weight loss

Author(s): Murphy J; Morais JA; Tsoukas MA; Cooke AB; Daskalopoulou SS; Santosa S;

Introduction: Adipose tissue inflammation, driven in part by immune cells, may contribute to the elevated type 2 diabetes risk in adults with childhood-onset obesity (CO) compared to those with adult-onset obesity (AO). Weight loss can modify adipose tissue...

Article GUID: 40831565


Title:The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond
Authors:Villeneuve SPoirier JBreitner JCSTremblay-Mercier JRemz JRaoult JMYakoub YGallego-Rudolf JQiu TFajardo Valdez AMohammediyan BJavanray MMetz ASanami SOurry VWearn APastor-Bernier AEdde MGonneaud JStrikwerda-Brown CTardif CLGauthier CJDescoteaux MDadar MVachon-Presseau ÉBaril AADucharme SMontembeault MGeddes MRSoucy JPRajah NLaforce RBocti CDavatzikos CBellec LRosa-Neto PBaillet SEvans ACCollins DLChakravarty MMBlennow KZetterbe
Link:https://pubmed.ncbi.nlm.nih.gov/41020412/
DOI:10.1002/alz.70653
Category:
PMID:41020412
Dept Affiliation: SOH
1 StoP-AD Centre, Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada.
2 Department of Psychiatry, McGill University, Montréal, Quebec, Canada.
3 McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada.
4 Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada.
5 Integrated Program in Neuroscience, McGill University, Montréal, Quebec, Canada.
6 Research Center of the CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.
7 Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, Quebec, Canada.
8 Department of Physics, Concordia University, Montréal, Quebec, Canada.
9 Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada.
10 Faculté des sciences, Département d'informatique, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
11 Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", NeuroPresage Team, GIP Cyceron, Caen, France.
12 School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia.
13 Department Biomedical Engineering, McGill University, Montréal, Quebec, Canada.
14 Centre ÉPIC, Montreal Heart Institute, Montréal, Quebec, Canada.
15 School of Health, Concordia University, Montréal, Quebec, Canada.
16 Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada.
17 Department of Anesthesia, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
18 Alan Edwards Center for Research on Pain, McGill University, Montreal, Quebec, Canada.
19 Department of Psychology, Toronto Metropolitan University, Toronto, Ontario, Canada.
20 Clinique interdisciplinaire de mémoire, CHU de Québec affilié à l'Université Laval, Québec, Quebec, Canada.
21 Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
22 AI2D Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
23 Psychology Department, Université de Montréal, Montréal, Quebec, Canada.
24 Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada.
25 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
26 Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden.
27 Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France.
28 Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, Anhui, P.R. China.
29 Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK.
30 UK Dementia Research Institute at UCL, London, UK.
31 Hong Kong Center for Neurodegenerative Diseases, InnoHK, Hong Kong, China.
32 Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
33 Department of Physiology and Pharmacology, Université de Montréal, Montréal, Quebec, Canada.
34 Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Description:

The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is an investigator-driven study that was created in 2011 and enrolled cognitively normal older adults with a family history of sporadic AD. Participants are deeply phenotyped and have now been followed annually for more than 12 years (median follow-up 8.0 years, SD 3.1). Multimodal magnetic resonance imaging (MRI), genetic, neurosensory, clinical, cerebrospinal fluid, and cognitive data collected until 2017 on 348 participants who agreed to open sharing with the neuroscience community were already available. We now share a new release including 6 years of additional follow-up cognitive data, and additional MRI follow-ups, clinical progression, new longitudinal behavioral and lifestyle measures (questionnaires, actigraphy), longitudinal AD plasma biomarkers, amyloid-beta and tau positron emission tomography (PET), magnetoencephalography, as well as neuroimaging analytic measures from all MRI modalities. We describe the PREVENT-AD study, the data shared with the global research community, as well as the model we created to sustain longitudinal follow-ups while also allowing new innovative data collection. HIGHLIGHTS: The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is a single-site longitudinal study that started in 2011 with annual follow-up data collection on individuals at risk of Alzheimer's disease who were all cognitively normal at enrolment. All 387 participants were enrolled between 2011 and 2017 and 306 (79%) of these participants were still in the study as of December 2023. While the PREVENT-AD dataset was not originally planned to be shared with the global research community, 348 participants retrospectively consented for their data to be shared with researchers worldwide. The first release of data was in 2019. We now share a second release that includes 6 years of additional follow-up visits, information on clinical progression and novel cognitive, behavioral, genetic, plasma and neuroimaging (amyloid and tau positron emission tomography [PET], magnetoencephalography [MEG], and new magnetic resonance imaging [MRI] sequences) data. It also includes analytic outputs for neuroimaging modalities.