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Sunnybrook Health Sciences Centre

HealthcareToronto, Ontario, Canada
About: Sunnybrook Health Sciences Centre is a healthcare organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Breast cancer. The organization has 7689 authors who have published 15236 publications receiving 523019 citations. The organization is also known as: Sunnybrook.


Papers
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Journal ArticleDOI
01 Mar 1998-Stroke
TL;DR: Depressive symptoms and functional outcome are correlated and diagnosis and treatment of depression are important in optimizing recovery in this population of consecutive stroke survivors.
Abstract: Background and Purpose—To assess the prevalence of depressive symptoms, their clinical correlates, and the effects of depressive symptoms on stroke recovery, a relatively unselected, well-diagnosed cohort of consecutive stroke survivors was followed prospectively. Methods—Consecutive admissions to a regional stroke center who met World Health Organization and National Institute of Neurological Disorders and Stroke criteria for stroke were eligible. Subarachnoid hemorrhage and brain stem strokes were excluded. Patients underwent CT, single-photon emission CT, and standardized neurological and cognitive examinations at entry. At 3 months and 1 year after stroke, depressive symptoms were assessed with the Montgomery Asberg Depression Rating Scale (MADRS) and the Zung Self-Rating Depression Scale (SDS). Functional outcome was measured with the Functional Independence Measure, and handicap was assessed by the Oxford Handicap Scale. Results—We assessed 436 patients at entry (mean±SD age, 74.9±11.6 years). There...

449 citations

Journal ArticleDOI
TL;DR: A three-dimensional atlas of the mouse brain, manually segmented into 62 structures, based on an average of 32 mum isotropic resolution T(2)-weighted, within skull images of forty 12 week old C57Bl/6J mice, scanned on a 7 T scanner is described.

449 citations

Journal ArticleDOI
TL;DR: Structural imaging and cognitive changes can be identified 5-10 years before expected onset of symptoms in asymptomatic adults at risk of genetic frontotemporal dementia, which could help to define biomarkers that can stage presymPTomatic disease and track disease progression.
Abstract: Summary Background Frontotemporal dementia is a highly heritable neurodegenerative disorder. In about a third of patients, the disease is caused by autosomal dominant genetic mutations usually in one of three genes: progranulin ( GRN ), microtubule-associated protein tau ( MAPT ), or chromosome 9 open reading frame 72 ( C9orf72 ). Findings from studies of other genetic dementias have shown neuroimaging and cognitive changes before symptoms onset, and we aimed to identify whether such changes could be shown in frontotemporal dementia. Methods We recruited participants to this multicentre study who either were known carriers of a pathogenic mutation in GRN, MAPT , or C9orf72 , or were at risk of carrying a mutation because a first-degree relative was a known symptomatic carrier. We calculated time to expected onset as the difference between age at assessment and mean age at onset within the family. Participants underwent a standardised clinical assessment and neuropsychological battery. We did MRI and generated cortical and subcortical volumes using a parcellation of the volumetric T1-weighted scan. We used linear mixed-effects models to examine whether the association of neuropsychology and imaging measures with time to expected onset of symptoms differed between mutation carriers and non-carriers. Findings Between Jan 30, 2012, and Sept 15, 2013, we recruited participants from 11 research sites in the UK, Italy, the Netherlands, Sweden, and Canada. We analysed data from 220 participants: 118 mutation carriers (40 symptomatic and 78 asymptomatic) and 102 non-carriers. For neuropsychology measures, we noted the earliest significant differences between mutation carriers and non-carriers 5 years before expected onset, when differences were significant for all measures except for tests of immediate recall and verbal fluency. We noted the largest Z score differences between carriers and non-carriers 5 years before expected onset in tests of naming (Boston Naming Test −0·7; SE 0·3) and executive function (Trail Making Test Part B, Digit Span backwards, and Digit Symbol Task, all −0·5, SE 0·2). For imaging measures, we noted differences earliest for the insula (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume was 0·80% in mutation carriers and 0·84% in non-carriers; difference −0·04, SE 0·02) followed by the temporal lobe (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume 8·1% in mutation carriers and 8·3% in non-carriers; difference −0·2, SE 0·1). Interpretation Structural imaging and cognitive changes can be identified 5–10 years before expected onset of symptoms in asymptomatic adults at risk of genetic frontotemporal dementia. These findings could help to define biomarkers that can stage presymptomatic disease and track disease progression, which will be important for future therapeutic trials. Funding Centres of Excellence in Neurodegeneration.

448 citations

Journal ArticleDOI
TL;DR: The present results provide a standardization based on average preferred foot placement, which will minimize between-subject variability and reduce the abnormal constraints that are placed on subjects by existing standards.

446 citations

Journal ArticleDOI
Aude Nicolas1, Kevin P. Kenna2, Alan E. Renton1, Alan E. Renton3  +432 moreInstitutions (78)
21 Mar 2018-Neuron
TL;DR: Interestingly, mutations predominantly in the N-terminal motor domain of KIF5A are causative for two neurodegenerative diseases: hereditary spastic paraplegia and Charcot-Marie-Tooth type 2.

444 citations


Authors

Showing all 7765 results

NameH-indexPapersCitations
Gordon B. Mills1871273186451
David A. Bennett1671142109844
Bruce R. Rosen14868497507
Robert Tibshirani147593326580
Steven A. Narod13497084638
Peter Palese13252657882
Gideon Koren129199481718
John B. Holcomb12073353760
Julie A. Schneider11849256843
Patrick Maisonneuve11858253363
Mitch Dowsett11447862453
Ian D. Graham11370087848
Peter C. Austin11265760156
Sandra E. Black10468151755
Michael B. Yaffe10237941663
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202324
2022103
20211,627
20201,385
20191,171
20181,044