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Greve, Douglas

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Greve

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Douglas

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Greve, Douglas

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  • Publication

    Neuronal Dysfunction and Disconnection of Cortical Hubs in Non-Demented Subjects with Elevated Amyloid Burden

    (Oxford University Press, 2011) Drzezga, Alexander; Sreenivasan, Aishwarya; Talukdar, Tanveer; Sullivan, Caroline; Sepulcre, Jorge; Putcha, Deepti; Becker, John; Van Dijk, Koene R. A.; Greve, Douglas; Johnson, Keith; Sperling, Reisa; Schultz, Aaron

    Disruption of functional connectivity between brain regions may represent an early functional consequence of b-amyloid pathology prior to clinical Alzheimer’s disease. We aimed to investigate if non-demented older individuals with increased amyloid burden demonstrate disruptions of functional whole-brain connectivity in cortical hubs (brain regions typically highly connected to multiple other brain areas) and if these disruptions are associated with neuronal dysfunction as measured with fluorodeoxyglucose-positron emission tomography. In healthy subjects without cognitive symptoms and patients with mild cognitive impairment, we used positron emission tomography to assess amyloid burden and cerebral glucose metabolism, structural magnetic resonance imaging to quantify atrophy and novel resting state functional magnetic resonance imaging processing methods to calculate whole-brain connectivity. Significant disruptions of whole-brain connectivity were found in amyloid-positive patients with mild cognitive impairment in typical cortical hubs (posterior cingulate cortex/precuneus), strongly overlapping with regional hypometabolism. Subtle connectivity disruptions and hypometabolism were already present in amyloid-positive asymptomatic subjects. Voxel-based morphometry measures indicate that these findings were not solely a consequence of regional atrophy. Whole-brain connectivity values and metabolism showed a positive correlation with each other and a negative correlation with amyloid burden. These results indicate that disruption of functional connectivity and hypometabolism may represent early functional consequences of emerging molecular Alzheimer’s disease pathology, evolving prior to clinical onset of dementia. The spatial overlap between hypometabolism and disruption of connectivity in cortical hubs points to a particular susceptibility of these regions to early Alzheimer’s-type neurodegeneration and may reflect a link between synaptic dysfunction and functional disconnection.

  • Publication

    The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals

    (Oxford University Press, 2009) Dickerson, Bradford; Bakkour, Akram; Salat, David; Feczko, Eric; Pacheco, Jenni; Greve, Douglas; Grodstein, Francine; Wright, Christopher; Blacker, Deborah; Rosas, Herminia; Sperling, Reisa; Atri, Alireza; Growdon, John; Hyman, Bradley; Morris, John C.; Fischl, Bruce; Buckner, Randy

    Alzheimer's disease (AD) is associated with neurodegeneration in vulnerable limbic and heteromodal regions of the cerebral cortex, detectable in vivo using magnetic resonance imaging. It is not clear whether abnormalities of cortical anatomy in AD can be reliably measured across different subject samples, how closely they track symptoms, and whether they are detectable prior to symptoms. An exploratory map of cortical thinning in mild AD was used to define regions of interest that were applied in a hypothesis-driven fashion to other subject samples. Results demonstrate a reliably quantifiable in vivo signature of abnormal cortical anatomy in AD, which parallels known regional vulnerability to AD neuropathology. Thinning in vulnerable cortical regions relates to symptom severity even in the earliest stages of clinical symptoms. Furthermore, subtle thinning is present in asymptomatic older controls with brain amyloid binding as detected with amyloid imaging. The reliability and clinical validity of AD-related cortical thinning suggests potential utility as an imaging biomarker. This “disease signature” approach to cortical morphometry, in which disease effects are mapped across the cortical mantle and then used to define ROIs for hypothesis-driven analyses, may provide a powerful methodological framework for studies of neuropsychiatric diseases.