Cerebral white matter lesions and cognitive function: The Rotterdam scan study

By Jan Cees de Groot, F. de Leeuw, M. Oudkerk, J. van Gijn, Albert Hofman, Jelle Jolles, Monique M. B. Breteler. Annals of Neurology, 2000

877 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/61613e80a9fad95bda35f2b8b4a83ca7b9f4cbb6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Mark Jenkinson
2. Ludovica Griffanti
3. Stephen M. Smith

In Pediatrics, Perinatology and Child Health

1. Mark Jenkinson

In Psychiatry and Mental health

1. Lenore J. Launer
2. Monique M. B. Breteler
3. N. Prins
4. Berislav Zlokovic
5. C. Iadecola

Citations in the corpus

• Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI (2017, neutral): “…is widely being performed in MR images of older patients and is especially relevant in the context of neurovascular and neurodegenerative diseases (De Groot et al., 2000; Ikram et al., 2008; De Bresser et al., 2010a,b, Driscoll et al., 2009; Giorgio and De Stefano, 2013; Wardlaw et al., 2013).”
• Cerebral hypoperfusion and clinical onset of dementia: The Rotterdam study (2005, methodology): “As markers of vascular brain disease, we assessed presence of white matter lesions and brain infarcts as described in detail elsewhere.(27)”
• Cerebral small-vessel disease and decline in information processing speed, executive function and memory. (2005, background): “…small-vessel disease affects information processing speed and executive function differentially, since the typical cross-sectional findings in individuals with WML and lacunar infarcts are suggestive of disconnection of frontosubcortical structures (Wolfe et al., 1990; de Groot et al., 2000).”
• Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics. (2007, methodology): “Because the imaging protocols used in AGES–Reykjavik are similar to protocols in other studies (19, 20), data can directly be compared with these studies.”
• Probabilistic segmentation of white matter lesions in MR imaging (2004, methodology): “…that WMLs are associated with age, clinically silent stroke, higher systolic blood pressure, lower forced expiratory volume in 1 s, hypertension , atrial fibrillation, carotid and peripheral arterioscleroses, impaired cognition and depression (De Groot et al., 2000a,b; Longstreth et al., 1996).”
• BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities (2016, background): “…disease (Li et al., 2013; Simoni et al., 2012), and are associated with increased risk of functional decline, dementia, and death (de Groot et al., 2000; Debette and Markus, 2010; Inzitari et al., 2009; Jeerakathil et al., 2004; Longstreth et al., 1996; Pantoni et al., 2005;…”