Elsevier

NeuroImage

Volume 61, Issue 2, June 2012, Pages 505-516
NeuroImage

Review
Brain imaging in the study of Alzheimer's disease

https://doi.org/10.1016/j.neuroimage.2011.11.075Get rights and content

Abstract

Over the last 20 years, there has been extraordinary progress in brain imaging research and its application to the study of Alzheimer's disease (AD). Brain imaging researchers have contributed to the scientific understanding, early detection and tracking of AD. They have set the stage for imaging techniques to play growing roles in the clinical setting, the evaluation of disease-modifying treatments, and the identification of demonstrably effective prevention therapies. They have developed ground-breaking methods, including positron emission tomography (PET) ligands to measure fibrillar amyloid-β (Aβ) deposition, new magnetic resonance imaging (MRI) pulse sequences, and powerful image analysis techniques, to help in these endeavors. Additional work is needed to develop even more powerful imaging methods, to further clarify the relationship and time course of Aβ and other disease processes in the predisposition to AD, to establish the role of brain imaging methods in the clinical setting, and to provide the scientific means and regulatory approval pathway needed to evaluate the range of promising disease-modifying and prevention therapies as quickly as possible. Twenty years from now, AD may not yet be a distant memory, but the best is yet to come.

Highlights

► We briefly review progress in brain imaging studies of Alzheimer's disease (AD). ► Imaging techniques have contributed to the early detection and tracking of AD. ► They have emerging roles in the evaluation of disease-modifying treatments. ► They will play critical roles in the evaluation of pre-symptomatic AD treatments. ► They have growing promise in the research and clinical settings.

Introduction

Alzheimer's disease (AD) is the most common cause of cognitive impairment in older people. When one considers the impact of AD on patients and families and the growing number of people living to older ages, there is a need to understand the progressive brain changes associated with the development of AD. There is also an urgent need to find treatments to slow down, stop, reduce the risk of, or completely prevent AD symptoms as soon as possible. Brain imaging techniques have had a profound impact on the scientific study of AD; they are expected to play growing roles in the clinical setting, and they are expected to play critical roles in the effort to find effective AD-modifying and prevention therapies.

In the last 20 years, there has been an explosion of interest in the development and use of brain imaging techniques for the scientific study, early detection, tracking, treatment and prevention of AD. This interest is reflected by the growing proportion of imaging researchers who attend and present their data at the major AD meetings, the development of imaging techniques to measure fibrillar amyloid-β deposition (a cardinal neuropathological feature of AD (Braak and Braak, 1991, Hardy and Selkoe, 2002)) in the living human brain (Klunk et al., 2004), the role that imaging studies have already played in the reconceptualization of AD (Sperling et al., 2011), the extraordinary opportunities researchers have to help in the scientific fight against this devastating disease, and the challenges the field continues to face along the way.

In this article, we review the best established brain imaging measurements for the detection and tracking of AD, and we note several other important imaging measurements, some of which have been less extensively applied or more recently developed. We then consider the how these imaging techniques have contributed to the scientific understanding of AD, their growing roles in the clinical setting, and their emerging roles in the evaluation of treatments to slow down the progression or prevent the onset of AD symptoms. Finally, we consider future research directions and offer a few recommendations. We are indebted to many investigators who have played pioneering roles in the development of brain imaging research, and we apologize in advance for our inability to cite all of the researchers and studies that have had a major impact on the field.

Section snippets

The best established brain imaging measurements of AD

Researchers continue to develop a range of brain imaging measurements for the scientific study and clinical evaluation of AD. To date, the best established measurements for the detection and tracking of AD include structural magnetic resonance imaging (sMRI) measurements of regional and whole brain tissue shrinkage, fluorodeoxyglucose positron emission tomography (FDG PET) measurements of decline in the regional cerebral metabolic rate for glucose (CMRgl), and PET measurements of fibrillar

Other brain imaging measurements

The number of different brain imaging techniques that have been applied to the study of AD is too large to review in a single article. Here we touch on some of the more or less widely used approaches and try to summarize the major findings and applications, fully aware of the incomplete nature of this review.

Contributions to the early detection and tracking of AD

As previously noted, researchers have used brain imaging techniques to detect and track brain changes associated with AD (Jack et al., 2009). Several of the reported brain changes are correlated with clinical severity, progressive, predictive of subsequent clinical decline, and predictive of the neuropathological diagnosis of AD. Several of these changes are observed years before the onset of symptoms in persons at increased genetic risk for AD (e.g., APOE ε4 carriers, early-onset AD-causing

Contributions to the scientific understanding of AD

Brain imaging studies have produced insights that have had a profound effect on how we think about the disease. To some extent these findings have come from multimodality approaches that have merged studies of structure, function, and biochemistry, especially those conducted in individuals who have minimal or no symptoms. Here we note some of the key findings in this area.

Emerging roles in the clinical setting

Guidelines for the use of imaging in the clinical evaluation of patients with dementia and pre-dementia syndromes such as MCI are actively being modified. Existing American Academy of Neurology practice parameters for the diagnosis of AD recommend CT or MR imaging only to rule out treatable structural pathology (Knopman et al., 2001) while MCI practice parameters do not address imaging at all (Petersen et al., 2001). These guidelines are 10 years old and outmoded not only because of the

Emerging roles in the evaluation of AD-modifying treatments

There is great interest in the role that brain imaging techniques could play in the evaluation of investigational AD-modifying treatments, a major effort to develop the best imaging techniques for this purpose, and an increasing use of MRI, FDG PET and fibrillar amyloid PET in clinical trials. Among other things, imaging techniques have the potential to a) reduce the number of clinically affected AD patients and time needed to evaluate investigational AD-modifying treatments; b) select patients

Emerging roles in the evaluation of presymptomatic AD treatments

When one considers the growing number of clinically affected AD patients, the healthy lifestyle interventions suggested but not proven to reduce the risk of AD symptoms (Haag et al., 2009, Lautenschlager et al., 2008, Peila et al., 2006, Scarmeas et al., 2009, Szekely et al., 2008, Wang et al., 2002, Willis et al., 2006, Zandi et al., 2004), and the possibility that investigational AD treatments may need to be started before the onset of symptoms to have their most profound benefit, there is a

Future directions and a few recommendations

There has been great progress in the scientific discovery of AD, the discovery of promising disease-modifying and presymptomatic treatments, and the development of brain imaging and biomarker techniques to help advance the scientific understanding, detection, tracking, treatment and prevention of AD. But more work remains to be done. A few recommendations are as follows:

  • 1.

    Continue to develop the brain imaging measurements needed to assess relevant biological processes, including but not limited

Acknowledgments

The authors received relevant support from National Institute on Aging grants R01 AG031581, R01 AG034570, P30 AG19610, U01 AG024904 and RC AG036535. They thank Dr. Jessica Langbaum for her assistance in the editing of this article.

References (180)

  • B.C. Dickerson et al.

    MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer's disease

    Neurobiol. Aging

    (2001)
  • P.M. Doraiswamy et al.

    Relationship between regional amyloid levels and cognitive performance in healthy controls, MCI subjects, and patients with AD: phase II results from a florpiramine F18 PET imaging study

    Alzheimers Dement.

    (2009)
  • B. Dubois et al.

    Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria

    Lancet Neurol.

    (2007)
  • B. Dubois et al.

    Revising the definition of Alzheimer's disease: a new lexicon

    Lancet Neurol.

    (2010)
  • P. Edison et al.

    Microglia, amyloid, and cognition in Alzheimer's disease: an [11C](R)PK11195-PET and [11C]PIB-PET study

    Neurobiol. Dis.

    (2008)
  • T. Espeseth et al.

    Accelerated age-related cortical thinning in healthy carriers of apolipoprotein E epsilon 4

    Neurobiol. Aging

    (2008)
  • A. Fellgiebel et al.

    Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity measurements of the hippocampus

    Psychiatry Res.

    (2006)
  • A. Forsberg et al.

    PET imaging of amyloid deposition in patients with mild cognitive impairment

    Neurobiol. Aging

    (2008)
  • T. Grimmer et al.

    Clinical severity of Alzheimer's disease is associated with PIB uptake in PET

    Neurobiol. Aging

    (2009)
  • K. Herholz et al.

    Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET

    Neuroimage

    (2002)
  • C.R. Jack et al.

    Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade

    Lancet Neurol.

    (2010)
  • W.J. Jagust et al.

    Lifespan brain activity, beta-amyloid, and Alzheimer's disease

    Trends Cogn. Sci.

    (2011)
  • A.M. Kennedy et al.

    Deficits in cerebral glucose metabolism demonstrated by positron emission tomography in individuals at risk of familial Alzheimer's disease

    Neurosci. Lett.

    (1995)
  • K. Kiuchi et al.

    Abnormalities of the uncinate fasciculus and posterior cingulate fasciculus in mild cognitive impairment and early Alzheimer's disease: a diffusion tensor tractography study

    Brain Res.

    (2009)
  • S.M. Landau et al.

    Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI

    Neurobiol. Aging

    (2011)
  • J.B.S. Langbaum et al.

    Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI)

    Neuroimage

    (2009)
  • C.A. Mathis et al.

    A lipophilic thioflavin-T derivative for positron emission tomography (PET) imaging of amyloid in brain

    Bioorg. Med. Chem. Lett.

    (2002)
  • G.M. McKhann et al.

    The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging and the Alzheimer's Association Workgroup

    Alzheimers Dement

    (2011)
  • D. Medina et al.

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

    Neurobiol. Aging

    (2006)
  • H.J. Aizenstein et al.

    Frequent amyloid deposition without significant cognitive impairment among the elderly

    Arch. Neurol.

    (2008)
  • G.E. Alexander et al.

    Longitudinal PET evaluation of cerebral metabolic decline in dementia: a potential outcome measure in Alzheimer's disease treatment studies

    Am. J. Psychiatry

    (2002)
  • G.E. Alexander et al.

    Longitudinal declines of gray matter in cognitively normal apolipoprotein E ε4 homozygotes and heterozygotes evaluated by voxel-based MRI morphometry

    Neurobiol. Aging

    (2002)
  • R.J. Bateman et al.

    Autosomal-dominant Alzheimer's disease: a review and proposal for the prevention of Alzheimer's disease

    Alzheimers Res. Ther.

    (2011)
  • D.A. Bennett et al.

    Neuropathology of older persons without cognitive impairment from two community-based studies

    Neurology

    (2006)
  • A.L. Bokde et al.

    Association between cognitive performance and cortical glucose metabolism in patients with mild Alzheimer's disease

    Dement. Geriatr. Cogn. Disord.

    (2005)
  • F.J. Bonte et al.

    SPECT study of regional cerebral blood flow in Alzheimer disease

    J. Comput. Assist. Tomogr.

    (1986)
  • F.J. Bonte et al.

    Brian blood flow in the dementias: SPECT with histopathologic correlation in 54 patients

    Radiology

    (1997)
  • S.Y. Bookheimer et al.

    Patterns of brain activation in people at risk for Alzheimer's disease

    N. Engl. J. Med.

    (2000)
  • H. Braak et al.

    Neuropathological stageing of Alzheimer-related changes

    Acta Neuropathol. (Berl)

    (1991)
  • A.M. Brickman et al.

    Measuring cerebral atrophy and white matter hyperintensity burden to predict the rate of cognitive decline in Alzheimer disease

    Arch. Neurol.

    (2008)
  • R.L. Buckner et al.

    Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory

    J. Neurosci.

    (2005)
  • R.L. Buckner et al.

    Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease

    J. Neurosci.

    (2009)
  • K.A. Celone et al.

    Alterations in memory networks in mild cognitive impairment and Alzheimer's disease: an independent component analysis

    J. Neurosci.

    (2006)
  • K. Chen et al.

    Correlations between apolipoprotein E ε4 gene dose and whole brain atrophy rates

    Am. J. Psychiatry

    (2007)
  • G. Chetelat et al.

    Mild cognitive impairment: can FDG-PET predict who is to rapidly convert to Alzheimer's disease?

    Neurology

    (2003)
  • G. Chetelat et al.

    Dissociating atrophy and hypometabolism impact on episodic memory in mild cognitive impairment

    Brain

    (2003)
  • G. Chetelat et al.

    Relationship between atrophy and beta-amyloid deposition in Alzheimer disease

    Ann. Neurol.

    (2010)
  • G. Chételat et al.

    FDG-PET measurement is more accurate than neuropsychological assessments to predict global cognitive deterioration in patients with mild cognitive impairment

    Neurocase

    (2005)
  • S.R. Choi et al.

    Preclinical properties of 18F-AV-45: a PET agent for Abeta plaques in the brain

    J. Nucl. Med.

    (2009)
  • I.H. Choo et al.

    Topographic patterns of brain functional impairment progression according to clinical severity staging in 116 Alzheimer disease patients: FDG-PET study

    Alzheimer Dis. Assoc. Disord.

    (2007)
  • Cited by (95)

    View all citing articles on Scopus
    View full text