Development, validation and application of a new fornix template for studies of aging and preclinical Alzheimer's disease

We developed a merged younger-older adult template of the fornix and demonstrated its utility for studies of aging and preclinical Alzheimer's disease (AD). In Experiment 1, probabilistic tractography was used to reconstruct the fornix in younger and older adults and successful streamlines were then averaged to create a merged template in standard space. The new template includes the majority of the fornix from the hippocampal formation to the subcallosal region and the thalamus/hypothalamus. In Experiment 2, the merged template was validated as an appropriate measure for studies of aging, with comparisons against manual tracing measures indicating identical spatial coverage in younger and older adult groups. In Experiment 3, the merged template was found to outperform age-specific templates in measures of sensitivity and specificity computed on diffusion tensor imaging data of an independent participant cohort. In Experiment 4, relevance to preclinical AD was demonstrated via associations between fractional anisotropy within the new fornix template and cerebrospinal fluid markers of AD pathology (Aβ42 and the t-tau/Aβ42 ratio) in a third independent cohort of cognitively normal older adults. Our new template provides an appropriate measure for use in future studies seeking to characterize microstructural alterations in the fornix associated with aging and preclinical AD.

[1]  J. W. Papez A PROPOSED MECHANISM OF EMOTION , 1937 .

[2]  Christopher A. Brown,et al.  White matter microstructure contributes to age-related declines in task-induced deactivation of the default mode network , 2015, Front. Aging Neurosci..

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

[4]  Gwenn S. Smith,et al.  Deep Brain Stimulation Influences Brain Structure in Alzheimer's Disease , 2015, Brain Stimulation.

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

[6]  J. Molinuevo,et al.  White matter changes in preclinical Alzheimer's disease: a magnetic resonance imaging-diffusion tensor imaging study on cognitively normal older people with positive amyloid β protein 42 levels , 2014, Neurobiology of Aging.

[7]  M. W. Brown,et al.  Episodic memory, amnesia, and the hippocampal–anterior thalamic axis , 1999, Behavioral and Brain Sciences.

[8]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[9]  Anders H. Andersen,et al.  Alterations in multiple measures of white matter integrity in normal women at high risk for Alzheimer's disease , 2010, NeuroImage.

[10]  C. Jack,et al.  Alzheimer's Disease Neuroimaging Initiative , 2008 .

[11]  Yu-Min Kuo,et al.  Increased Aβ Peptides and Reduced Cholesterol and Myelin Proteins Characterize White Matter Degeneration in Alzheimer's Disease† , 2002 .

[12]  M. Goldberg,et al.  Amyloid-β Peptides Are Cytotoxic to Oligodendrocytes , 2001, The Journal of Neuroscience.

[13]  R. Petersen,et al.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects , 2009, Annals of neurology.

[14]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[15]  L Nyberg,et al.  Altered brain white matter integrity in healthy carriers of the APOE ε4 allele , 2006, Neurology.

[16]  Matthew P. G. Allin,et al.  Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography , 2011, NeuroImage.

[17]  C. Jack,et al.  Mild cognitive impairment and Alzheimer disease: regional diffusivity of water. , 2001, Radiology.

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

[19]  R. Wennberg,et al.  A phase I trial of deep brain stimulation of memory circuits in Alzheimer's disease , 2010, Annals of neurology.

[20]  Douglas Walker,et al.  Increased A beta peptides and reduced cholesterol and myelin proteins characterize white matter degeneration in Alzheimer's disease. , 2002, Biochemistry.

[21]  P. Rosenberg,et al.  The Fornix in Mild Cognitive Impairment and Alzheimer’s Disease , 2015, Front. Aging Neurosci..

[22]  George Bartzokis,et al.  Diffusion tensor imaging in preclinical and presymptomatic carriers of familial Alzheimer's disease mutations. , 2007, Brain : a journal of neurology.

[23]  A. Fagan,et al.  Cerebrospinal fluid tau/beta-amyloid(42) ratio as a prediction of cognitive decline in nondemented older adults. , 2007, Archives of neurology.

[24]  R. Shephard Cardiorespiratory fitness. , 2020, Canadian Medical Association journal.

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

[26]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[27]  Allison Caban-Holt,et al.  University of Kentucky Sanders-Brown healthy brain aging volunteers: donor characteristics, procedures and neuropathology. , 2012, Current Alzheimer research.

[28]  A. Pfefferbaum,et al.  Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: Relations to timed performance , 2010, Neurobiology of Aging.

[29]  Peter Seres,et al.  Selective effects of aging on brain white matter microstructure: A diffusion tensor imaging tractography study , 2010, NeuroImage.

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

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

[32]  A. Siegel,et al.  Efferent connections of the septal area in the rat: An analysis utilizing retrograde and anterograde transport methods , 1977, Brain Research.

[33]  Thomas R. Barrick,et al.  Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection , 2008, NeuroImage.

[34]  C E Poletti,et al.  Fornix system efferent projections in the squirrel monkey: An experimental degeneration study , 1977, The Journal of comparative neurology.

[35]  Mark W. Woolrich,et al.  Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.

[36]  A. Dale,et al.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.

[37]  T. Powell,et al.  STUDIES OF THE CONNEXIONS OF THE FORNIX SYSTEM , 1954, Journal of neurology, neurosurgery, and psychiatry.

[38]  T. Iwatsubo [Alzheimer's disease Neuroimaging Initiative (ADNI)]. , 2011, Nihon rinsho. Japanese journal of clinical medicine.

[39]  M. Jenkinson Non-linear registration aka Spatial normalisation , 2007 .

[40]  Richard J. Kryscio,et al.  White matter integrity is associated with cerebrospinal fluid markers of Alzheimer's disease in normal adults , 2014, Neurobiology of Aging.

[41]  Chobok Kim,et al.  Reduced frontal cortex efficiency is associated with lower white matter integrity in aging. , 2015, Cerebral cortex.

[42]  Robert I. Reid,et al.  White matter integrity determined with diffusion tensor imaging in older adults without dementia: influence of amyloid load and neurodegeneration. , 2014, JAMA neurology.

[43]  Zude Zhu,et al.  Evidence for reduced efficiency and successful compensation in older adults during task switching , 2015, Cortex.

[44]  Paul M. Thompson,et al.  Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics , 2014, NeuroImage.

[45]  Paul M. Thompson,et al.  Automated multi-atlas labeling of the fornix and its integrity in alzheimer's disease , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

[46]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[47]  L Nyberg,et al.  Altered brain white matter integrity in healthy carriers of the APOE epsilon4 allele: a risk for AD? , 2006, Neurology.

[48]  R. Woods,et al.  Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. , 2001, Cerebral cortex.

[49]  M. Filippi,et al.  White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging , 2002, Journal of neurology, neurosurgery, and psychiatry.

[50]  Christopher A. Brown,et al.  Longitudinal alterations to brain function, structure, and cognitive performance in healthy older adults: A fMRI-DTI study , 2015, Neuropsychologia.

[51]  Chobok Kim,et al.  Cardiorespiratory fitness is positively correlated with cerebral white matter integrity in healthy seniors , 2012, NeuroImage.

[52]  Raymond B. Cattell,et al.  THE SALIENT VARIABLE SIMILARITY INDEX FOR FACTOR MATCHING , 1960 .

[53]  A. Fagan,et al.  Visinin‐like protein‐1: Diagnostic and prognostic biomarker in Alzheimer disease , 2011, Annals of neurology.

[54]  John J Sidtis,et al.  Abnormal white matter integrity in healthy apolipoprotein E epsilon4 carriers , 2005, Neuroreport.

[55]  C. Lebel,et al.  Diffusion tensor imaging of white matter tract evolution over the lifespan , 2012, NeuroImage.

[56]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[57]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[58]  Rachid Deriche,et al.  Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers , 2010, NeuroImage.

[59]  J. Aggleton Multiple anatomical systems embedded within the primate medial temporal lobe: Implications for hippocampal function , 2012, Neuroscience & Biobehavioral Reviews.