Elsevier

Neurobiology of Aging

Volume 33, Issue 1, January 2012, Pages 43-52
Neurobiology of Aging

Regular paper
Atrophy and dysfunction of parahippocampal white matter in mild Alzheimer's disease

https://doi.org/10.1016/j.neurobiolaging.2010.01.020Get rights and content

Abstract

In addition to atrophy of mesial temporal lobe structures critical for memory function, white matter projections to the hippocampus may be compromised in individuals with mild Alzheimer's disease (AD), thereby compounding the memory difficulty. In the present study, high-resolution structural imaging and diffusion tensor imaging techniques were used to examine microstructural alterations in the parahippocampal white matter (PWM) region that includes the perforant path. Results demonstrated white matter volume loss bilaterally in the PWM in patients with mild AD. In addition, the remaining white matter had significantly lower fractional anisotropy and higher mean diffusivity values. Both increased mean diffusivity and volume reduction in the PWM were associated with memory performance and ApoE ε4 allele status. These findings indicate that, in addition to partial disconnection of the hippocampus from incoming sensory information due to volume loss in PWM, microstructural alterations in remaining fibers may further degrade impulse transmission to the hippocampus and accentuate memory dysfunction. The results reported here also suggest that ApoE ε4 may exacerbate PWM changes.

Introduction

High resolution, quantitative magnetic resonance imaging (MRI) is a valuable tool for evaluating alterations in brain anatomy in vivo in age-related degenerative diseases and may provide a surrogate marker for the underlying pathology. One of the early clinical hallmarks of Alzheimer's disease (AD) is a disturbance in memory, especially characterized by difficulty in the acquisition of new declarative knowledge. The nature of this mnemonic dysfunction is similar to that seen with bilateral lesions, dysfunction or disconnection of the hippocampal formation and related structures (Squire and Zola-Morgan, 1991), thus implicating the pathophysiologic disruption of this neural system in the early stages of AD.

Post mortem pathological studies have shown the entorhinal cortex and trans-entorhinal region to be early sites of involvement in AD and in individuals with mild cognitive impairment (MCI) who are at high risk of developing AD (Braak and Braak, 1991, Braak and Braak, 1995, Gomez-Isla et al., 1996, Kordower et al., 2001). In vivo MRI investigations have also demonstrated atrophy of both the entorhinal cortex and hippocampus not only in patients with mild AD, but also in people with amnestic MCI and subjective cognitive complaints (e.g., deToledo-Morrell et al., 2004, Dickerson et al., 2001, Du et al., 2001, Jack et al., 1997, Jack et al., 1999, Jessen et al., 2006, Killiany et al., 2000, Killiany et al., 2002, Saykin et al., 2006, Stoub et al., 2005).

In addition to pathology and atrophy in gray matter regions, there may be changes in white matter that could disconnect different cortical regions and accentuate cognitive dysfunction. However, such white matter changes have received less attention in investigations on the pathophysiology of AD. Entorhinal cortex neurons receive multimodal sensory input from primary sensory and association cortices and relay this information to the hippocampus via the perforant path, a white matter tract located in the anterior medial portion of the parahippocampal gyrus (Amaral et al., 1987, Van Hoesen and Pandya, 1975, Van Hoesen et al., 1975). Post mortem studies have demonstrated loss of entorhinal layer II neurons in patients with mild AD (Hyman et al., 1984) and in those with MCI (Gomez-Isla et al., 1996, Kordower et al., 2001) that could results in a partial disconnection of information flow to the hippocampus. In addition, damage to the parahippocampal white matter could disrupt afferent connections to the entorhinal cortex and ultimately degrade multimodal sensory information relayed to the hippocampus.

These changes in white matter may be detectable with high resolution MRI techniques, such as diffusion tensor imaging (DTI). DTI is a newer MRI technique that allows examination of the microstructural integrity of white matter in vivo. This emerging technique combines MR diffusion-weighted pulse sequences with tensor mathematics to measure molecular diffusion in three dimensions. In fact, recently there has been a proliferation of investigations using DTI to examine white matter changes in AD (e.g., Hanyu et al., 1998, Head et al., 2004, Kalus et al., 2006, Medina et al., 2006, Salat et al., 2010, Zhang et al., 2007). Many of these investigations explored whole brain white matter changes in patients with AD, while two studies further examined the parahippocampal white matter region that includes the perforant path (Kalus et al., 2006, Salat et al., 2010). In addition to the volume of the parahippocampal white matter region, Kalus et al. (2006) reported the coherence index (CI) that measures the similarity in diffusion between adjoining voxels as the measure of white matter integrity, rather than the commonly used measures of fractional anisotropy (FA) and mean diffusivity (MD). Salat et al. (2008) defined anatomical regions of interest (ROIs) on DTI maps. Defining anatomical regions using the dependent variable map (e.g., FA map) may have methodological shortcomings as it precludes the identification of abnormal tissue with low FA (Pfefferbaum and Sullivan, 2003).

In the present study, we used a high-resolution DTI protocol and high-resolution structural imaging to examine microstructural and macrostructural alterations in parahippocampal white matter and their relation to memory function in patients with mild AD compared with elderly controls. DTI analysis was restricted to the parahippocampal white matter by applying manually traced ROIs derived from high-resolution structural images to DTI scans. FA or MD values were quantified without direct manipulation of the DTI volumes. FA is a scalar metric that describes the directionality of the diffusion tensor, while MD is a nondirectional measure of free translational diffusion and provides an index of general tissue integrity. These two measures are the most commonly used and sensitive indexes of microstructural integrity of white matter. We also examined the relationship between ApoE ε4 allele status and parahippocampal white matter changes. ApoE is a group of proteins that bind reversibly with lipoprotein for transporting endogenous lipids for uptake and use in myelin repair, growth and structural integrity maintenance (Bartzokis et al., 2006). In fact, previous studies have demonstrated a reduction in ApoE concentration in brain tissue from ApoE ε4 allele carriers (Poirier, 2005). The ApoE ε4 allele is known to be a risk factor for Alzheimer's disease (Saunders et al., 1993) and may affect white matter integrity even in healthy carriers of the ApoE ε4 allele (Persson et al., 2006).

Section snippets

Participants

Participants in the study consisted of 17 patients with mild AD (mean age 77.18 ± 5.23 yr) and 26 elderly individuals with no cognitive impairment (NCI; mean age 74.92 ± 8.03 yr). They were recruited from the Rush Alzheimer's Disease Center (RADC) clinic, the community, and the Rush Memory and Aging Project (MAP). MAP is a longitudinal, clinicopathologic study of aging in older participants who have agreed to annual evaluations and brain autopsy at the time of death (Bennett et al., 2005).

All

Results

Demographic characteristics of participants are listed in Table 1. Patients with mild AD did not differ from the controls in age [t(41) = 1.02, p = 0.31], education [t(41) = 0.54, p = 0.59], or gender distribution [χ2(1) = 0.67, p = 0.53]. In addition, these two groups did not differ in systolic or diastolic blood pressure, or in vascular risk factor summary scores. In addition, analysis of white matter hyperintensities revealed no significant difference between the two groups in T2 signal

Discussion

The results of the present study indicate that, in addition to volume loss, there was a significant decrease in FA and an increase in MD in parahippocampal white matter in patients with mild AD, indicating that remaining normal appearing white matter in this region was not really “normal”. These white matter changes reflect not only loss of afferent and efferent fibers in the region, but also may indicate partial demyelination or other damage to remaining fibers. These results suggest that

Disclosure statement

The authors do not have any actual or potential conflicts of financial or personal interest. This research was supported by grants P01 AG09466, P30 AG10161 and R01 AG17917 from the National Institute on Aging, National Institutes of Health and the Illinois Department of Public Health. The data contained in this manuscript have not been previously published, have not been submitted elsewhere and will not be submitted elsewhere while under consideration at Neurobiology of Aging. All participants

Acknowledgements

This research was supported by grants P01 AG09466, P30 AG10161 and R01 AG17917 from the National Institute on Aging, National Institutes of Health and the Illinois Department of Public Health.

References (60)

  • R. Kalaria

    Similarities between Alzheimer's disease and vascular dementia

    J. Neurol. Sci

    (2002)
  • P. Kalus et al.

    Examining the gateway to the limbic system with diffusion tensor imaging: the perforant pathway in dementia

    Neuroimage

    (2006)
  • D. Medina et al.

    White matter changes in mild cognitive impairment and AD: A diffusion tensor imaging study

    Neurobiol. Aging

    (2006)
  • J. Poirier

    Apolipoprotein E, cholesterol transport and synthesis in sporadic Alzheimer's disease

    Neurobiol. Aging

    (2005)
  • D.H. Salat et al.

    White matter pathology isolates the hippocampal formation in Alzheimer's disease

    Neurobiol. Aging

    (2010)
  • G. Van Hoesen et al.

    Some connections of the entorhinal (area 28) and perirhinal (area 35) cortices of the rhesus monkeyI. Temporal lobe afferents

    Brain Res

    (1975)
  • G. Van Hoesen et al.

    Some connections of the entorhinal (area 28) and perirhinal (area 35) cortices of the rhesus monkeyII. Frontal lobe afferents

    Brain Res

    (1975)
  • C. Wang et al.

    Longitudinal changes in white matter following ischemic stroke: a three-year follow-up study

    Neurobiol. Aging

    (2006)
  • M. Albert et al.

    Use of brief cognitive tests to identify individuals in the community with clinically diagnosed Alzheimer's disease

    Int. J. Neurosci

    (1991)
  • D.G. Amaral et al.

    The entorhinal cortex of the monkeyI. Cytoarchitectonic organization

    J. Comp. Neurol

    (1987)
  • R. Barber et al.

    Apolipoprotein E epsilon4 allele, temporal lobe atrophy, and white matter lesions in late-life dementias

    Arch. Neurol

    (1999)
  • G. Bartzokis et al.

    Apolipoprotein E genotype and age-related myelin breakdown in healthy individuals: implications for cognitive decline and dementia

    Arch. Gen. Psychiatry

    (2006)
  • P.J. Basser

    Inferring microstructural features and the physiological state of tissues from diffusion-weighted images

    NMR Biomed

    (1995)
  • D.A. Bennett et al.

    The Rush Memory and Aging Project: study design and baseline characteristics of the study cohort

    Neuroepidemiology

    (2005)
  • D.A. Bennett et al.

    Natural history of mild cognitive impairment in older persons

    Neurology

    (2002)
  • H. Braak et al.

    Neuropathological staging of Alzheimer-related changes

    Acta Neuropathol

    (1991)
  • L. Bronge et al.

    Postmortem MRI and histopathology of white matter changes in Alzheimer brainsA quantitative, comparative study

    Dement. Geriatr. Cogn. Disord

    (2002)
  • L. Bronge et al.

    White matter lesions in Alzheimer patients are influenced by apolipoprotein E genotype

    Dement. Geriatr. Cogn. Disord

    (1999)
  • A. Brun et al.

    A white matter disorder in dementia of the Alzheimer type: a pathoanatomical study

    Ann. Neurol

    (1986)
  • A. de Crespigny et al.

    Eddy current induced image warping in diffusion weighted EPI

  • Cited by (0)

    View full text