Multimodal MRI-based imputation of the Aβ+ in early mild cognitive impairment

The primary goal of this study was to identify brain atrophy from structural MRI (magnetic resonance imaging) and cerebral blood flow (CBF) patterns from arterial spin labeling perfusion MRI that are best predictors of the Aβ‐burden, measured as composite 18F‐AV45‐PET (positron emission tomography) uptake, in individuals with early mild cognitive impairment (MCI). Furthermore, another objective was to assess the relative importance of imaging modalities in classification of Aβ+/Aβ− early MCI.

[1]  Cindee M. Madison,et al.  Covarying alterations in Aβ deposition, glucose metabolism, and gray matter volume in cognitively normal elderly , 2014, Human brain mapping.

[2]  S. Joshi,et al.  Neuroimaging predictors of brain amyloidosis in mild cognitive impairment , 2013, Annals of neurology.

[3]  T. Hedden,et al.  Meta-analysis of amyloid-cognition relations in cognitively normal older adults , 2013, Neurology.

[4]  Maja A. A. Binnewijzend,et al.  Cerebral blood flow measured with 3D pseudocontinuous arterial spin-labeling MR imaging in Alzheimer disease and mild cognitive impairment: a marker for disease severity. , 2013, Radiology.

[5]  M. Jorge Cardoso,et al.  Atrophy Rates in Asymptomatic Amyloidosis: Implications for Alzheimer Prevention Trials , 2013, PloS one.

[6]  Clifford R. Jack,et al.  Does amyloid deposition produce a specific atrophic signature in cognitively normal subjects?☆ , 2013, NeuroImage: Clinical.

[7]  M. Mintun,et al.  Amyloid-β Imaging with Pittsburgh Compound B and Florbetapir: Comparing Radiotracers and Quantification Methods , 2013, The Journal of Nuclear Medicine.

[8]  Reisa A. Sperling,et al.  Subjective cognitive complaints and amyloid burden in cognitively normal older individuals , 2012, Neuropsychologia.

[9]  L. Ferrucci,et al.  Correspondence between in vivo 11C-PiB-PET amyloid imaging and postmortem, region-matched assessment of plaques , 2012, Acta Neuropathologica.

[10]  R. Coleman,et al.  Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study , 2012, The Lancet Neurology.

[11]  C. Jack,et al.  Identification of noninvasive screening variables for the prediction of amyloid accumulation in a population-based study of cognitively normal elderly individuals , 2012, Alzheimer's & Dementia.

[12]  C. Jack,et al.  Predicting brain amyloidosis in MCI using clinical, cognitive, imaging and peripheral blood protein measures , 2012, Alzheimer's & Dementia.

[13]  C. Jack,et al.  Identification of non-invasive screening variables for the prediction of amyloid accumulation in a population-based study of cognitively normal elderly individuals , 2012, Alzheimer's & Dementia.

[14]  C. Rowe,et al.  Accelerated cortical atrophy in cognitively normal elderly with high β-amyloid deposition , 2012, Neurology.

[15]  Elizabeth C Mormino,et al.  Subjective cognition and amyloid deposition imaging: a Pittsburgh Compound B positron emission tomography study in normal elderly individuals. , 2012, Archives of neurology.

[16]  Norbert Schuff,et al.  MRI patterns of atrophy and hypoperfusion associations across brain regions in frontotemporal dementia , 2012, NeuroImage.

[17]  Khaled Restom,et al.  Assessment of Alzheimer's disease risk with functional magnetic resonance imaging: an arterial spin labeling study. , 2012, Journal of Alzheimer's disease : JAD.

[18]  Timo Grimmer,et al.  Perfusion abnormalities in mild cognitive impairment and mild dementia in Alzheimer’s disease measured by pulsed arterial spin labeling MRI , 2012, European Archives of Psychiatry and Clinical Neuroscience.

[19]  Dietmar R. Thal,et al.  Stages of the Pathologic Process in Alzheimer Disease: Age Categories From 1 to 100 Years , 2011, Journal of neuropathology and experimental neurology.

[20]  M. Weiner,et al.  The dynamics of cortical and hippocampal atrophy in Alzheimer disease. , 2011, Archives of neurology.

[21]  Norbert Schuff,et al.  Spatial patterns of brain amyloid-beta burden and atrophy rate associations in mild cognitive impairment. , 2011, Brain : a journal of neurology.

[22]  Keith A. Johnson,et al.  Amyloid-β Associated Cortical Thinning in Clinically Normal Elderly , 2011, Annals of neurology.

[23]  Hwamee Oh,et al.  β-Amyloid affects frontal and posterior brain networks in normal aging , 2011, NeuroImage.

[24]  Nick C Fox,et al.  Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Aβ1‐42 , 2010, Annals of neurology.

[25]  N. Schuff,et al.  Relations between brain tissue loss, CSF biomarkers, and the ApoE genetic profile: a longitudinal MRI study , 2010, Neurobiology of Aging.

[26]  Norbert Schuff,et al.  Joint analysis of structural and perfusion MRI for cognitive assessment and classification of Alzheimer's disease and normal aging , 2010, NeuroImage.

[27]  W. Jagust,et al.  The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core , 2010, Alzheimer's & Dementia.

[28]  S. de Santi,et al.  Increased fibrillar amyloid-β burden in normal individuals with a family history of late-onset Alzheimer’s , 2010, Proceedings of the National Academy of Sciences.

[29]  C. Rowe,et al.  Relationship between atrophy and β‐amyloid deposition in Alzheimer disease , 2010, Annals of neurology.

[30]  S Ourselin,et al.  β-Amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia , 2010, Neurology.

[31]  A. Fagan,et al.  Pittsburgh compound B imaging and prediction of progression from cognitive normality to symptomatic Alzheimer disease. , 2009, Archives of neurology.

[32]  Anders M. Dale,et al.  Cerebral perfusion and oxygenation differences in Alzheimer's disease risk , 2009, Neurobiology of Aging.

[33]  Ross T. Whitaker,et al.  A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI , 2009, IPMI.

[34]  A. Sodickson,et al.  Cumulative radiation exposure and cancer risk estimates in emergency department patients undergoing repeat or multiple CT. , 2009, AJR. American journal of roentgenology.

[35]  James T Becker,et al.  Mild cognitive impairment and alzheimer disease: patterns of altered cerebral blood flow at MR imaging. , 2009, Radiology.

[36]  R. Honea,et al.  Impact of APOE on the healthy aging brain: a voxel-based MRI and DTI study. , 2009, Journal of Alzheimer's disease : JAD.

[37]  Daniel Rueckert,et al.  Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II , 2017, Lecture Notes in Computer Science.

[38]  David C. Alsop,et al.  Hippocampal hyperperfusion in Alzheimer's disease , 2008, NeuroImage.

[39]  Susan M Resnick,et al.  Longitudinal Cerebral Blood Flow and Amyloid Deposition: An Emerging Pattern? , 2008, Journal of Nuclear Medicine.

[40]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[41]  Paul Maruff,et al.  β-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease , 2007 .

[42]  C. Rowe,et al.  Imaging β-amyloid burden in aging and dementia , 2007, Neurology.

[43]  H Matsuda,et al.  Automated discrimination between very early Alzheimer disease and controls using an easy Z-score imaging system for multicenter brain perfusion single-photon emission tomography. , 2007, AJNR. American journal of neuroradiology.

[44]  J. Morris,et al.  Pathologic correlates of nondemented aging, mild cognitive impairment, and early-stage alzheimer’s disease , 2001, Journal of Molecular Neuroscience.

[45]  Simon A. Moss,et al.  b -amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer’s disease , 2007 .

[46]  N. Schuff,et al.  Hypoperfusion in frontotemporal dementia and Alzheimer disease by arterial spin labeling MRI , 2006, Neurology.

[47]  Norbert Schuff,et al.  A non-parametric approach for co-analysis of multi-modal brain imaging data: Application to Alzheimer's disease , 2006, NeuroImage.

[48]  J. Kaye,et al.  Safety and Acceptability of the Research Lumbar Puncture , 2005, Alzheimer disease and associated disorders.

[49]  Norbert Schuff,et al.  Four‐phase single‐capillary stepwise model for kinetics in arterial spin labeling MRI , 2005, Magnetic resonance in medicine.

[50]  N. Schuff,et al.  Pattern of cerebral hypoperfusion in Alzheimer disease and mild cognitive impairment measured with arterial spin-labeling MR imaging: initial experience. , 2005, Radiology.

[51]  Klaus P. Ebmeier,et al.  Predicting the accuracy of a diagnosis of Alzheimer's disease with 99mTc HMPAO single photon emission computed tomography , 2004, Psychiatry Research: Neuroimaging.

[52]  Kazunari Ishii,et al.  Demonstration of decreased posterior cingulate perfusion in mild Alzheimer's disease by means of H215O positron emission tomography , 1997, European Journal of Nuclear Medicine.

[53]  Charles DeCarli,et al.  Cerebrospinal fluid tau and beta-amyloid: how well do these biomarkers reflect autopsy-confirmed dementia diagnoses? , 2003, Archives of neurology.

[54]  Richard M. Leahy,et al.  BrainSuite: An Automated Cortical Surface Identification Tool , 2000, MICCAI.

[55]  J. Detre,et al.  Assessment of cerebral blood flow in Alzheimer's disease by spin‐labeled magnetic resonance imaging , 2000, Annals of neurology.

[56]  Jerry L. Prince,et al.  Adaptive fuzzy segmentation of magnetic resonance images , 1999, IEEE Transactions on Medical Imaging.

[57]  E. Tangalos,et al.  Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .

[58]  B. Holman,et al.  Cerebral perfusion imaging in Alzheimer's disease. Use of single photon emission computed tomography and iofetamine hydrochloride I 123. , 1987, Archives of neurology.

[59]  S. Wold,et al.  Multi‐way principal components‐and PLS‐analysis , 1987 .