Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: A longitudinal MRI study

By Gaël Chételat, B. Landeau, F. Eustache, F. Mézenge, F. Viader, V. Sayette, B. Desgranges, J. Baron. NeuroImage, 2005

543 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Physiology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/027cd7d8f11ea44725c32c394d918b54aa2ef498

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Citations in the corpus

Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models (2012, methodology): “Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models Jorge L. Bernal-Rusiel, Douglas N. Greve, Martin Reuter, Bruce Fischl, Mert R. Sabuncu PII: S1053-8119(12)01068-3 DOI: doi: 10.1016/j.neuroimage.2012.10.065 Reference: YNIMG 9908 To appear in: NeuroImage Accepted…”
Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease (2010, background): “Previous studies have found that subjects with MCI had a significant reduction in the amount of gray matter in the medial temporal lobe, hippocampus, inferior parietal areas, posterior cingulum, and the lingual and fusiform gyri [13,33,42].”
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease (2010, background): “…in MCI and mild AD have shown marked volume differences not only within the hippocampus area but also distributed within cortical brain areas such as the precuneus and cingulate gyrus (Baron et al., 2001; Chetelat et al., 2002, 2005; Frisoni et al., 2002; Karas et al., 2004; Pennanen et al., 2005).”
Hearing loss and cognitive decline in older adults: questions and answers (2014, background): “These temporal regions are intriguing because they are important not only for spoken language processing [32], but also for semantic memory, sensory integration, and are involved in the early stages of mild cognitive impairment or early Alzheimer disease [33].”
Within-subject template estimation for unbiased longitudinal image analysis (2012, methodology): “SPM, for example, has been employed in longitudinal studies of neurodegeneration in two time points (Chételat et al., 2005; Kipps et al., 2005) without specifically attempting to avoid asymmetry-related bias.”
Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database (2011, background): “, 2008), the posterior cingulate gyrus (Karas et al., 2004; Chételat et al., 2005; Laakso et al., 1998) and the posterior”
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging (2009, unknown): “Although lesions start in the medial temporal lobe, atrophy is also present in a distributed pattern of brain regions, including the temporal neocortex, the cingulate gyrus, the precuneus, the temporo-parietal association and the perisylvian association (Baron et al., 2001; Chételat et al., 2002; Ch”