Distinct patterns of brain activity in young carriers of the APOE-ε4 allele

By Nicola Filippini, Bradley J. MacIntosh, Morgan G. Hough, Guy M. Goodwin, Giovanni B. Frisoni, Stephen M. Smith, Paul M. Matthews, Christian F. Beckmann, Clare E. Mackay. Proceedings of the National Academy of Sciences of the United States of America, 2009

1,661 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b9ca9f6c484560825ef8389743d2c70321741e51

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Citations in the corpus

Toward discovery science of human brain function (2010, methodology): “Dual regression (10, 11) was then carried out using the 20 resulting components as templates, to produce individual participant maps for each of the 20 components.”
Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity (2009, background): “The same brain regions also seem to be the main areas targeted by grey matter atrophy and deposition of b-amyloid plaques as measured by PET (Buckner et al. 2005) and appear to be modulated early in life in young adult APOE e4 carriers (Filippini et al. 2009).”
Resting-state fMRI in the Human Connectome Project (2013, methodology): “Individual runs' Z-statistic maps were created by dual-regressing (Filippini et al., 2009) the group-ICA maps into the volumetric 4D data and then combining these across all 80 runs using fixed-effects averaging.”
Clinical applications of the functional connectome (2013, positive): “, independent component analysis-based) demonstrations of spatially independent intrinsic connectivity networks corresponding to those previously established by neuropsychological and task-based imaging studies (Beckmann et al., 2005; Damoiseaux et al., 2006; Filippini et al., 2009; Fox et al., 2006”
Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (2010, methodology): “In order to define RSN and artifactual components that were equivalent networks/artifacts across the 3 acquisitions, we applied the methodology of a ‘‘group-averaged’’ ICA followed by dualregression of the group-average spatial maps into each of the 3 separate datasets [57].”
Intrinsic Brain Connectivity in Fibromyalgia is Associated with Chronic Pain Intensity (2010, positive): “This was done to minimize IC split ting into subcomponents, as recommended by Filippini et al (30).”
Hand classification of fMRI ICA noise components (2017, neutral): “…power spectra of group ICs is to derive for each subject the power spectrum for each component (e.g., performing the first step of dual-regression (Filippini et al., 2009)) and average these across subjects to obtain an average spectrum per component (Allen et al., 2011; Griffanti et al., 2014;…”
A Bayesian model of shape and appearance for subcortical brain segmentation (2011, neutral): “…al. (2010); Cherubini et al. (2010); Gholipour et al. (2009); Luo et al. (2009); Sotiropoulos et al. (2010); Erickson et al. (2009); Péran et al. (2009); Erickson et al. (2010a,b); Filippini et al. (2009); Janssen et al. (2009); Chan et al. (2009); Babalola et al. (2007); Morey et al. (2009, 2010).”
Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (2012, methodology): “As part of the dual-regression procedure (Biswal et al., 2010; Filippini et al., 2009; Zuo et al., 2010b), all group-level components were first used as a spatial regressor for the participant's functional data, resulting in a timeseries for each component reflecting how closely the functional data…”
Linked independent component analysis for multimodal data fusion (2011, background): “, 2008) or structural, diffusion, and resting-state FMRI (Filippini et al., 2009).”
Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. (2010, neutral): “Alzheimer’s disease (Filippini et al., 2009), amyotrophic lateral”
Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, neutral): “The order is: (1) T1, (2) resting fMRI, (3) task fMRI, (4) T2 FLAIR, (5) dMRI, (6) swMRI.”