2013
DOI: 10.1186/1866-1955-5-19
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Dementia in Down’s syndrome: an MRI comparison with Alzheimer’s disease in the general population

Abstract: BackgroundDown’s syndrome (DS) is the most common genetic cause of intellectual disability. People with DS are at an increased risk of Alzheimer’s disease (AD) compared to the general population. Neuroimaging studies of AD have focused on medial temporal structures; however, to our knowledge, no in vivo case–control study exists comparing the anatomy of dementia in DS to people with AD in the general population. We therefore compared the in vivo brain anatomy of people with DS and dementia (DS+) to those with … Show more

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Cited by 37 publications
(39 citation statements)
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References 90 publications
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“…The observed increased brain-PAD supports the idea that the long-term consequences of DS include premature “age-like” changes to the structure of the brain. Previously, studies have shown lower brain volumes or abnormal cortical thickness in DS (Koran et al., 2014, Mullins et al., 2013, Pinter et al., 2001, Romano et al., 2016, Teipel et al., 2004) as well as a correlation between age and brain volume in individuals with DS, not seen in controls (Beacher et al., 2010, Krasuski et al., 2002). While these results have been used to indirectly infer the presence of “accelerated” brain aging in DS, our machine learning method provides a more direct approach of quantifying age-related changes to brain structure, by way of reference to a large lifespan training sample.…”
Section: Discussionmentioning
confidence: 99%
“…The observed increased brain-PAD supports the idea that the long-term consequences of DS include premature “age-like” changes to the structure of the brain. Previously, studies have shown lower brain volumes or abnormal cortical thickness in DS (Koran et al., 2014, Mullins et al., 2013, Pinter et al., 2001, Romano et al., 2016, Teipel et al., 2004) as well as a correlation between age and brain volume in individuals with DS, not seen in controls (Beacher et al., 2010, Krasuski et al., 2002). While these results have been used to indirectly infer the presence of “accelerated” brain aging in DS, our machine learning method provides a more direct approach of quantifying age-related changes to brain structure, by way of reference to a large lifespan training sample.…”
Section: Discussionmentioning
confidence: 99%
“…Other techniques may be of value, such as high resolution electroencephalography to determine epileptic activity, because there appears to be a subset of individuals with DS and/or AD that have seizures [66]. Additionally, structural and functional magnetic resonance imaging in DS population, as in the general population, may reflect early AD neuropathophysiology [67,68]. …”
Section: Diagnosing Ad In Individuals With Down Syndromementioning
confidence: 99%
“…Además, pueden desarrollar EA más pronto que otras personas debido a su producción aumentada de ßA y a su menor reserva cognitiva, pudiendo ésta ser el resultado de la combinación de la discapacidad intelectual pre-existente y de factores genéticos tales como la concentración de ßA y myo-inositol (mI) en el cerebro (Mullins et al, 2013). En este sentido, el nivel de funcionamiento cognitivo parece estar asociado con factores ambientales tales como el nivel de educación, años en una institución y el tipo de empleo (Temple et al, 2001).…”
Section: Resultsunclassified