In vivo parahippocampal white matter pathology as a biomarker of disease progression to Alzheimer's disease

Noninvasive diagnostic tests for Alzheimer's disease (AD) are limited. Postmortem diagnosis is based on density and distribution of neurofibrillary tangles (NFTs) and amyloid‐rich neuritic plaques. In preclinical stages of AD, the cells of origin for the perforant pathway within the entorhinal cortex are among the first to display NFTs, indicating its compromise in early stages of AD. We used diffusion tensor imaging (DTI) to assess the integrity of the parahippocampal white matter in mild cognitive impairment (MCI) and AD, as a first step in developing a noninvasive tool for early diagnosis. Subjects with AD (N = 9), MCI (N = 8), or no cognitive impairment (NCI; N = 20) underwent DTI‐MRI. Fractional anisotropy (FA) and mean (MD) and radial (RD) diffusivity measured from the parahippocampal white matter in AD and NCI subjects differed greatly. Discriminant analysis in the MCI cases assigned statistical membership of 38% of MCI subjects to the AD group. Preliminary data 1 year later showed that all MCI cases assigned to the AD group either met the diagnostic criteria for probable AD or showed significant cognitive decline. Voxelwise analysis in the parahippocampal white matter revealed a progressive change in the DTI patterns in MCI and AD subjects: whereas converted MCI cases showed structural changes restricted to the anterior portions of this region, in AD the pathology was generalized along the entire anterior–posterior axis. The use of DTI for in vivo assessment of the parahippocampal white matter may be useful for identifying individuals with MCI at highest risk for conversion to AD and for assessing disease progression. J. Comp. Neurol. 521:4300–4317, 2013. © 2013 Wiley Periodicals, Inc.

[1]  Mojtaba Zarei,et al.  White matter tract integrity in aging and Alzheimer's disease , 2009, Human brain mapping.

[2]  H. Braak,et al.  Neuropathology of Alzheimer’s Disease , 2004 .

[3]  J. Trojanowski Tauists, Baptists, Syners, Apostates, and new data , 2002, Annals of neurology.

[4]  Jeff Kuret,et al.  Research towards tau imaging. , 2011, Journal of Alzheimer's disease : JAD.

[5]  Y. Cohen,et al.  Assignment of the water slow‐diffusing component in the central nervous system using q‐space diffusion MRS: Implications for fiber tract imaging , 2000, Magnetic resonance in medicine.

[6]  Deepak N. Pandya,et al.  Some connections of the entorhinal (area 28) and perirhinal (area 35) cortices of the rhesus monkey. II. Frontal lobe afferents , 1975, Brain Research.

[7]  P. Modrego,et al.  Predictors of conversion to dementia of probable Alzheimer type in patients with mild cognitive impairment. , 2006, Current Alzheimer research.

[8]  J. Schneider,et al.  Parahippocampal tau pathology in healthy aging, mild cognitive impairment, and early Alzheimer's disease , 2002, Annals of neurology.

[9]  Luc Van Gool,et al.  Automated image registration , 2004 .

[10]  A. D. de Crespigny,et al.  Navigated Diffusion Imaging of Normal and Ischemic Human Brain , 1995, Magnetic resonance in medicine.

[11]  M. Moseley,et al.  Changes in Parahippocampal White Matter Integrity in Amnestic Mild Cognitive Impairment: A Diffusion Tensor Imaging Study , 2009, Behavioural neurology.

[12]  A. Toga,et al.  Plaque and tangle imaging and cognition in normal aging and Alzheimer's disease , 2010, Neurobiology of Aging.

[13]  M. Kraut,et al.  Comparison of weakness progression in inclusion body myositis during treatment with methotrexate or placebo , 2002, Annals of neurology.

[14]  W. Krampla,et al.  Conversion from subtypes of mild cognitive impairment to Alzheimer dementia , 2007, Neurology.

[15]  Christos Davatzikos,et al.  Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI , 2009, NeuroImage.

[16]  G. Zubicaray,et al.  Diffusion indices on magnetic resonance imaging and neuropsychological performance in amnestic mild cognitive impairment , 2006, Journal of Neurology, Neurosurgery & Psychiatry.

[17]  Beatriz Bosch,et al.  Specific anatomic associations between white matter integrity and cognitive reserve in normal and cognitively impaired elders. , 2011, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[18]  J. Morris,et al.  Neuropathology for the Neuroradiologist: Plaques and Tangles , 2008, American Journal of Neuroradiology.

[19]  José Luis Molinuevo,et al.  [Early diagnosis of Alzheimer's disease: the prodromal and preclinical phase]. , 2010, Revista de neurologia.

[20]  Y. Masutani,et al.  Three-dimensional white matter tractography by diffusion tensor imaging in ischaemic stroke involving the corticospinal tract , 2003, Neuroradiology.

[21]  Igor Yakushev,et al.  Diffusion tensor imaging of the hippocampus in MCI and early Alzheimer's disease. , 2011, Journal of Alzheimer's disease : JAD.

[22]  D. Amaral,et al.  Perirhinal and parahippocampal cortices of the macaque monkey: Projections to the neocortex , 2002, The Journal of comparative neurology.

[23]  B. Fischl,et al.  Direct Visualization of the Perforant Pathway in the Human Brain with Ex Vivo Diffusion Tensor Imaging , 2010, Front. Hum. Neurosci..

[24]  J. Morris,et al.  Mild cognitive impairment and preclinical Alzheimer's disease. , 2005, Geriatrics.

[25]  C. Jack,et al.  DWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment , 2005, Neurology.

[26]  Carlo Caltagirone,et al.  Combined volumetry and DTI in subcortical structures of mild cognitive impairment and Alzheimer's disease patients. , 2010, Journal of Alzheimer's disease : JAD.

[27]  Klaus P. Ebmeier,et al.  A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease , 2011, Neurobiology of Aging.

[28]  D. Amaral,et al.  Topographical and laminar distribution of cortical input to the monkey entorhinal cortex , 2007, Journal of anatomy.

[29]  R. Insausti Comparative anatomy of the entorhinal cortex and hippocampus in mammals , 1993, Hippocampus.

[30]  J. Trojanowski,et al.  Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification , 2011, Neurobiology of Aging.

[31]  Scott T. Grafton,et al.  Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.

[32]  Yi Zhao,et al.  CALHM1 variant is not associated with Alzheimer's disease among Asians , 2011, Neurobiology of Aging.

[33]  Ronald C Petersen,et al.  Detection of prodromal Alzheimer's disease , 2008, Annals of neurology.

[34]  G. Small,et al.  In vivo brain imaging of tangle burden in humans , 2002, Journal of Molecular Neuroscience.

[35]  Paul M Matthews,et al.  Brain structural and functional connectivity and the progression of neuropathology in Alzheimer's disease. , 2012, Journal of Alzheimer's disease : JAD.

[36]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.

[37]  Matthias J. Müller,et al.  Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity measurements of the hippocampus , 2006, Psychiatry Research: Neuroimaging.

[38]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[39]  H. Braak,et al.  Evolution of Alzheimer’s disease-related cytoskeletal changes in the basal nucleus of Meynert , 2000, Acta Neuropathologica.

[40]  G. V. Van Hoesen,et al.  Hippocampal efferents reach widespread areas of cerebral cortex and amygdala in the rhesus monkey. , 1977, Science.

[41]  I. Štěpán-Buksakowska,et al.  Diffusion tensor imaging in Alzheimer disease and mild cognitive impairment. , 2012, Neurologia i neurochirurgia polska.

[42]  D. Selkoe Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.

[43]  G. V. Van Hoesen,et al.  Some modular features of temporal cortex in humans as revealed by pathological changes in Alzheimer's disease. , 1993, Cerebral cortex.

[44]  Giuseppe Scotti,et al.  A whole brain MR spectroscopy study from patients with Alzheimer's disease and mild cognitive impairment , 2005, NeuroImage.

[45]  Peter Dal-Bianco,et al.  Annual conversion to Alzheimer disease among patients with memory complaints attending an outpatient memory clinic: the influence of amnestic mild cognitive impairment and the predictive value of neuropsychological testing , 2005, Wiener klinische Wochenschrift.

[46]  R. Petersen,et al.  Mild Cognitive Impairment: An Overview , 2008, CNS Spectrums.

[47]  D. Amaral,et al.  The entorhinal cortex of the monkey: I. Cytoarchitectonic organization , 1987, The Journal of comparative neurology.

[48]  R. Green,et al.  The human hippocampus: An atlas of applied anatomy , 1991 .

[49]  D. Amaral,et al.  Amygdalo‐cortical projections in the monkey (Macaca fascicularis) , 1984, The Journal of comparative neurology.

[50]  G. V. Van Hoesen,et al.  The topographical and neuroanatomical distribution of neurofibrillary tangles and neuritic plaques in the cerebral cortex of patients with Alzheimer's disease. , 1991, Cerebral cortex.

[51]  J. Dejerine Anatomie des centres nerveux , 1895 .

[52]  M. Ono Development of positron-emission tomography/single-photon emission computed tomography imaging probes for in vivo detection of beta-amyloid plaques in Alzheimer's brains. , 2009, Chemical & pharmaceutical bulletin.

[53]  T. Butts,et al.  Can Clues from Evolution Unlock the Molecular Development of the Cerebellum? , 2011, Molecular Neurobiology.

[54]  A. Bjørnerud,et al.  Cingulum fiber diffusivity and CSF T-tau in patients with subjective and mild cognitive impairment , 2011, Neurobiology of Aging.

[55]  Stefan Skare,et al.  Ultra-high resolution diffusion tensor imaging of the microscopic pathways of the medial temporal lobe , 2012, NeuroImage.

[56]  A. Mitchell,et al.  CSF phosphorylated tau in the diagnosis and prognosis of mild cognitive impairment and Alzheimer’s disease: a meta-analysis of 51 studies , 2009, Journal of Neurology, Neurosurgery & Psychiatry.

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

[58]  B. Bell,et al.  Axonal transport, imaging, and the diagnosis of nerve compression. , 1992, British journal of neurosurgery.

[59]  M. Bobinski,et al.  Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories , 1997, Neurobiology of Aging.

[60]  L. Wahlund,et al.  Conversion from preclinical to dinical stage of Alzheimer's disease as shown by decline of cognitive function in carriers of the Swedish APP-mutation. , 2002, Journal of neural transmission. Supplementum.

[61]  Guy B. Williams,et al.  Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease. , 2010, Brain : a journal of neurology.

[62]  J. Molinuevo,et al.  Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance , 2012, Neurobiology of Aging.

[63]  G. V. Hoesen,et al.  The parahippocampal gyrus: New observations regarding its cortical connections in the monkey , 1982, Trends in Neurosciences.

[64]  R. Reitan Validity of the Trail Making Test as an Indicator of Organic Brain Damage , 1958 .

[65]  Owen Carmichael,et al.  Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative , 2010, Alzheimer's & Dementia.

[66]  Bram Stieltjes,et al.  Longitudinal changes in fiber tract integrity in healthy aging and mild cognitive impairment: a DTI follow-up study. , 2010, Journal of Alzheimer's disease : JAD.

[67]  Peter Stoeter,et al.  Functional implications of hippocampal volume and diffusivity in mild cognitive impairment , 2005, NeuroImage.

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

[69]  E. Kaplan,et al.  The Boston naming test , 2001 .

[70]  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.

[71]  Marie-Claude Potier,et al.  Classification and basic pathology of Alzheimer disease , 2009, Acta Neuropathologica.

[72]  M. Schocke,et al.  [Conversion from MCI (Mild Cognitive Impairment) to Alzheimer's disease: diagnostic options and predictors]. , 2010, Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater.

[73]  J. Brandt,et al.  Construct and concurrent validity of the Hopkins Verbal Learning Test-revised. , 1999, The Clinical neuropsychologist.

[74]  G. V. Van Hoesen,et al.  The Parahippocampal Gyrus in Alzheimer's Disease: Clinical and Preclinical Neuroanatomical Correlates , 2000, Annals of the New York Academy of Sciences.

[75]  M. Witter The perforant path: projections from the entorhinal cortex to the dentate gyrus. , 2007, Progress in brain research.

[76]  Charles D. Smith,et al.  White matter integrity and vulnerability to Alzheimer's disease: preliminary findings and future directions. , 2012, Biochimica et biophysica acta.

[77]  W M Cowan,et al.  Subcortical afferents to the hippocampal formation in the monkey , 1980, The Journal of comparative neurology.

[78]  D. Le Bihan,et al.  Diffusion tensor imaging: Concepts and applications , 2001, Journal of magnetic resonance imaging : JMRI.

[79]  D. Amaral,et al.  The entorhinal cortex of the monkey: III. Subcortical afferents , 1987, The Journal of comparative neurology.

[80]  N. Herrmann,et al.  Mild Cognitive Impairment: An Operational Definition and Its Conversion Rate to Alzheimer’s Disease , 2005, Dementia and Geriatric Cognitive Disorders.

[81]  D. Amaral,et al.  Entorhinal cortex of the monkey: VII. Intrinsic connections , 2007, The Journal of comparative neurology.

[82]  R. Petersen,et al.  Mild cognitive impairment , 2006, The Lancet.

[83]  P. Visser,et al.  Biomarkers as predictors for conversion from mild cognitive impairment to Alzheimer-type dementia: implications for trial design. , 2010, Journal of Alzheimer's disease : JAD.

[84]  S. Resnick,et al.  Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. , 2009, Brain : a journal of neurology.

[85]  R. Kraftsik,et al.  Primary motor cortex involvement in Alzheimer disease. , 1999, Journal of neuropathology and experimental neurology.

[86]  R. Insausti,et al.  The human entorhinal cortex: A cytoarchitectonic analysis , 1995, The Journal of comparative neurology.

[87]  Timothy Edward John Behrens,et al.  Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.

[88]  D. Bennett,et al.  From Healthy Aging to Early Alzheimer's Disease: In Vivo Detection of Entorhinal Cortex Atrophy , 2000, Annals of the New York Academy of Sciences.

[89]  P. Basser,et al.  Diffusion tensor MR imaging of the human brain. , 1996, Radiology.

[90]  R. Petersen Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.

[91]  H. Arai,et al.  A 18F-Labeled BF-227 Derivative as a Potential Radioligand for Imaging Dense Amyloid Plaques by Positron Emission Tomography , 2013, Molecular Imaging and Biology.

[92]  H. Braak,et al.  Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories , 1997, Neurobiology of Aging.

[93]  Ralph H. B. Benedict,et al.  Revision of the Brief Visuospatial Memory Test: Studies of normal performance, reliability, and validity. , 1996 .

[94]  Yoshiyuki Inagaki,et al.  BioVision: An application for the automated image analysis of histological sections , 2006, Neurobiology of Aging.

[95]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[96]  B T Hyman,et al.  Entorhinal cortex pathology in Alzheimer's disease , 1991, Hippocampus.

[97]  G. W. Hoesen Anatomy of the medial temporal lobe , 1995 .

[98]  H. Braak,et al.  The Progression of Alzheimer’s Disease from Limbic Regions to the Neocortex: Clinical, Radiological and Pathological Relationships , 1999, Dementia and Geriatric Cognitive Disorders.

[99]  S. Small,et al.  Fine modulation in network activation during motor execution and motor imagery. , 2004, Cerebral cortex.

[100]  J. Baron,et al.  FDG-PET measurement is more accurate than neuropsychological assessments to predict global cognitive deterioration in patients with mild cognitive impairment , 2005, Neurocase.

[101]  Andrea Federspiel,et al.  Examining the gateway to the limbic system with diffusion tensor imaging: The perforant pathway in dementia , 2006, NeuroImage.

[102]  L. Muftuler,et al.  Microstructural Diffusion Tensor Imaging Reveals Perforant Path Degradation in Aged Humans in Vivo , 2010, Alzheimer's & Dementia.

[103]  G. Small,et al.  The merits of FDDNP-PET imaging in Alzheimer's disease. , 2011, Journal of Alzheimer's disease : JAD.

[104]  Nick C Fox,et al.  Imaging cerebral atrophy: normal ageing to Alzheimer's disease , 2004, The Lancet.

[105]  G. V. Van Hoesen,et al.  Anatomy of the medial temporal lobe. , 1995, Magnetic resonance imaging.

[106]  G. Stebbins,et al.  Diffusion Tensor Imaging in Alzheimer’s Disease and Mild Cognitive Impairment , 2009, Behavioural neurology.

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

[108]  Claudio Babiloni,et al.  Disease tracking markers for Alzheimer's disease at the prodromal (MCI) stage. , 2011, Journal of Alzheimer's disease : JAD.

[109]  Gary W. Small Brain-imaging surrogate markers for detection and prevention of age-related memory loss , 2002, Journal of Molecular Neuroscience.

[110]  L. Mosconi,et al.  Brain glucose metabolism in the early and specific diagnosis of Alzheimer’s disease , 2005, European Journal of Nuclear Medicine and Molecular Imaging.

[111]  Ming-Jang Chiu,et al.  Diffusion tensor changes in patients with amnesic mild cognitive impairment and various dementias , 2009, Psychiatry Research: Neuroimaging.

[112]  O. Forlenza,et al.  Do CSF total tau, phosphorylated tau, and β-amyloid 42 help to predict progression of mild cognitive impairment to Alzheimer's disease? A systematic review and meta-analysis of the literature , 2008, The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry.

[113]  C. Jack,et al.  Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD , 2004, Neurology.

[114]  Deepak N. Pandya,et al.  Some connections of the entorhinal (area 28) and perirhinal (area 35) cortices of the rhesus monkey. III. Efferent connections , 1975, Brain Research.

[115]  A. Solodkin,et al.  Cellular and Systems Neuroanatomical Changes in Alzheimer's Disease , 1994 .

[116]  Paul M. Thompson,et al.  Staging Alzheimer's disease progression with multimodality neuroimaging , 2011, Progress in Neurobiology.

[117]  J. Morris,et al.  Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease , 1996, The Journal of Neuroscience.

[118]  Matthias J. Müller,et al.  Ultrastructural Hippocampal and White Matter Alterations in Mild Cognitive Impairment: A Diffusion Tensor Imaging Study , 2004, Dementia and Geriatric Cognitive Disorders.

[119]  S. Rose,et al.  Loss of connectivity in Alzheimer's disease: an evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging , 2000, Journal of neurology, neurosurgery, and psychiatry.

[120]  S. Lawrie,et al.  The relationship of anterior thalamic radiation integrity to psychosis risk associated neuregulin-1 variants , 2009, Molecular Psychiatry.

[121]  M. Albert,et al.  DTI analyses and clinical applications in Alzheimer's disease. , 2011, Journal of Alzheimer's disease : JAD.

[122]  Adrian E. Raftery,et al.  Model-based Methods of Classification: Using the mclust Software in Chemometrics , 2007 .

[123]  A. Dale,et al.  Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis. , 2011, Radiology.

[124]  D. Amaral,et al.  The entorhinal cortex of the monkey: II. Cortical afferents , 1987, The Journal of comparative neurology.

[125]  Nick C Fox,et al.  The Diagnosis of Mild Cognitive Impairment due to Alzheimer’s Disease: Recommendations from the National Institute on Aging-Alzheimer’s Association Workgroups on Diagnostic Guidelines for Alzheimer’s Disease , 2011 .

[126]  J. Morrison,et al.  Tangle and neuron numbers, but not amyloid load, predict cognitive status in Alzheimer’s disease , 2003, Neurology.

[127]  H. Braak,et al.  Staging of Alzheimer-related cortical destruction. , 1997, International psychogeriatrics.