Four subgroups of Alzheimer's disease based on patterns of atrophy using VBM and a unique pattern for early onset disease

To clarify the involvement of the posterior cingulate cortex (PCC) in Alzheimer's disease (AD), we analyzed brain volume loss by voxel-based morphometry. Forty patients with non-familial AD and 20 patients with mild cognitive impairment (MCI) were recruited and compared to 88 elderly volunteers and 40 young volunteers. Local atrophy with aging was observed bilaterally in the perisylvian opercula, anterior cingulate cortex, caudate head, dorsomedial thalamus and parahippocampal cortex. In addition to those, atrophy in AD patients was observed in the amygdala, hippocampus, subcallosal region, posterior-associated cortices and PCC. We classified AD into four subgroups according to the atrophy pattern; atrophy in the amygdala/hippocampal formations (Hipp), in the Hipp and posterior cortices, in the Hipp and PCC and in the PCC and posterior cortices (PCC/-TOPa). As a result, the probability of PCC/-TOPa was 90% for ages <65 years, whereas that of the Hipp was 100% for disease duration >36 months. PCC atrophy was found in 16 of 40 AD patients and eight of 20 MCI patients. There seemed to be two subgroups with atrophy of the PCC, the one with disease progression and the other without. The latter had characteristic features of early onset and no significant atrophy in the amygdala/anterior hippocampus. There are at least four atrophy patterns that raise doubts about a single disease entity or progression in AD. This may reflect a different hierarchical pattern of progression in patients who have atrophy in PCC and posterior cortices when compared to the Braak staging scheme.

[1]  D L Rosene,et al.  Feature article: are neurons lost from the primate cerebral cortex during normal aging? , 1998, Cerebral cortex.

[2]  Nick C. Fox,et al.  Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease , 2004, NeuroImage.

[3]  S. Resnick,et al.  Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain , 2003, The Journal of Neuroscience.

[4]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[5]  Nick C Fox,et al.  Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[6]  N. Foster,et al.  Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease , 1997, Annals of neurology.

[7]  R. Terry,et al.  Senile dementia of the Alzheimer type , 1983, Annals of neurology.

[8]  Kenji Ikeda,et al.  Two distinct subgroups of senile dementia of Alzheimer type: Quantitative study of neurofibrillary tangles , 2003, Neuropathology : official journal of the Japanese Society of Neuropathology.

[9]  C. Jack,et al.  Mild cognitive impairment can be distinguished from Alzheimer disease and normal aging for clinical trials. , 2004, Archives of neurology.

[10]  R. Killiany,et al.  Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease , 2000, Annals of neurology.

[11]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[12]  T. Ohnishi,et al.  Changes in brain morphology in Alzheimer disease and normal aging: is Alzheimer disease an exaggerated aging process? , 2001, AJNR. American journal of neuroradiology.

[13]  C. Jack,et al.  Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease , 1997, Neurology.

[14]  Takashi Asada,et al.  Voxel-based morphometry to discriminate early Alzheimer's disease from controls , 2005, Neuroscience Letters.

[15]  Brigitte Landeau,et al.  Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: A longitudinal MRI study , 2005, NeuroImage.

[16]  Griselda J. Garrido,et al.  A voxel-based morphometry study of temporal lobe gray matter reductions in Alzheimer’s disease , 2003, Neurobiology of Aging.

[17]  F. Huppert,et al.  Examination of the validity of the hierarchical model of neuropathological staging in normal aging and Alzheimer’s disease , 1998, Acta Neuropathologica.

[18]  J. Baron,et al.  Relations between hypometabolism in the posterior association neocortex and hippocampal atrophy in Alzheimer's disease: a PET/MRI correlative study , 2001, Journal of neurology, neurosurgery, and psychiatry.

[19]  Takashi Asada,et al.  Longitudinal evaluation of both morphologic and functional changes in the same individuals with Alzheimer's disease. , 2002, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[20]  Konstantine K. Zakzanis,et al.  A Meta-Analysis of Structural and Functional Brain Imaging in Dementia of the Alzheimer's Type: A Neuroimaging Profile , 2003, Neuropsychology Review.

[21]  J. Baron,et al.  Dissociating atrophy and hypometabolism impact on episodic memory in mild cognitive impairment. , 2003, Brain : a journal of neurology.

[22]  J. Wegiel,et al.  Neurofibrillary pathology — correlation with hippocampal formation atrophy in Alzheimer disease , 1996, Neurobiology of Aging.

[23]  J. Baron,et al.  In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease , 2001, NeuroImage.

[24]  G. Frisoni,et al.  A voxel based morphometry study on mild cognitive impairment , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[25]  Frederik Barkhof,et al.  Unbiased whole-brain analysis of gray matter loss in Alzheimer's disease , 2000, Neuroscience Letters.

[26]  Emma J. Burton,et al.  A comprehensive study of gray matter loss in patients with Alzheimer’s disease using optimized voxel-based morphometry , 2003, NeuroImage.

[27]  Christian Degueldre,et al.  Voxel‐based analysis of confounding effects of age and dementia severity on cerebral metabolism in Alzheimer's disease , 2000, Human brain mapping.

[28]  G. Frisoni,et al.  Structural correlates of early and late onset Alzheimer’s disease: voxel based morphometric study , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[29]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[30]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[31]  J. Baron,et al.  Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment , 2002, Neuroreport.

[32]  T D Bird,et al.  Neuropathological heterogeneity in Alzheimer’s disease: A study of 80 cases using principal components analysis , 2000, Neuropathology : official journal of the Japanese Society of Neuropathology.

[33]  Brent A. Vogt,et al.  Multivariate Analysis of Laminar Patterns of Neurodegeneration in Posterior Cingulate Cortex in Alzheimer's Disease , 1998, Experimental Neurology.

[34]  Philip Scheltens,et al.  Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment , 2004, Neurology.

[35]  G. Frisoni,et al.  Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry , 2002, Journal of neurology, neurosurgery, and psychiatry.