Alzheimer Disease Imaging 

Updated: Apr 12, 2018
  • Author: Tarakad S Ramachandran, MBBS, MBA, MPH, FAAN, FACP, FAHA, FRCP, FRCPC, FRS, LRCP, MRCP, MRCS; Chief Editor: L Gill Naul, MD  more...
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Practice Essentials

The current diagnosis of Alzheimer disease is made by clinical, neuropsychological, and neuroimaging assessments. Routine structural neuroimaging evaluation has long been based on nonspecific features such as atrophy, which is a late feature in the progression of the disease. More recently, a variety of imaging modalities, including structural and functional magnetic resonance imaging (MRI) and positron emission tomography (PET) studies of cerebral metabolism, have shown characteristic changes in the brains of patients with Alzheimer disease in prodromal and even presymptomatic states. [1, 2, 3]

Alzheimer disease was first described in 1907 by Alois Alzheimer. From its original status as a rare disease, Alzheimer disease has become one of the most common diseases in the aging population, ranking as the fourth most common cause of death. Alzheimer disease is a progressive neurodegenerative disorder characterized by the gradual onset of dementia. The pathologic hallmarks of the disease are beta-amyloid (Aβ) plaques, neurofibrillary tangles (NFTs), and reactive gliosis. [4, 5, 6] (See the images below.)

Coronal, T1-weighted magnetic resonance imaging (M Coronal, T1-weighted magnetic resonance imaging (MRI) scan in a patient with moderate Alzheimer disease. Brain image reveals hippocampal atrophy, especially on the right side.
Axial, T2-weighted magnetic resonance imaging (MRI Axial, T2-weighted magnetic resonance imaging (MRI) scan of the brain reveals atrophic changes in the temporal lobes.

Click here to view a slideshow presentation on Alzheimer Disease. Click here to view the Alzheimer Disease Radiograph slideshow.

Preferred examination

Structural imaging, preferably with MRI when possible and computed tomography (CT) when not, should be obtained as a first-tier approach. MRI can be considered the preferred neuroimaging examination for Alzheimer disease because it allows for accurate measurement of the 3-dimensional (3D) volume of brain structures, especially the size of the hippocampus and related regions. Second-tier imaging with molecular methods, preferably with fluorodeoxyglucose PET (or single-photon emission CT if PET is unavailable) can provide more diagnostic specificity. [7]

Neuroimaging is widely believed to be generally useful for excluding reversible causes of dementia syndrome, such as normal-pressure hydrocephalus, brain tumors, and subdural hematoma, and for excluding other likely causes of dementia, such as cerebrovascular disease. [3]

The practice parameters for the diagnosis and evaluation of dementia, as published by the American Academy of Neurology (AAN), consider structural brain imaging to be optimal. [8, 9] Nonenhanced CT scanning and MRI are the appropriate imaging methods. [7] The AAN suggests that neuroimaging may be most useful in patients with dementia characterized by an early onset or an unusual course.

There have been several studies of neuroimaging findings in Alzheimer disease. Van de Pol et al found that medial temporal lobe atrophy seems to be a more important predictor of cognition than small-vessel disease in MCI. Lacunes were associated with performance on the Digit Symbol Substitution Test, especially in subjects with milder median temporal lobe atrophy (MTA). There was no discernible association between white matter hyperintensities (WMHs) and the cognitive measures in this study after adjustment for age. [10]

Study of the dopamine transporter (DaTScan) is used to distinguish Lewy body dementia from Alzheimer disease. Numerous studies are under way to identify specific imaging markers for different types of dementia, including cerebral volumetric measurements, diffusion imaging, spectroscopy, very-high-field MRI scans of senile plaques, and PET scan markers of senile plaques. [11]

Neurovascular dysfunction, including blood-brain barrier (BBB) breakdown and cerebral blood flow (CBF) dysregulation and reduction, are increasingly recognized to contribute to Alzheimer disease. [12] BBB impairment is a stable characteristic over 1 year and is present in an important subgroup of patients with Alzheimer disease. Age, gender, ApoE status, vascular risk factors, and baseline Mini-Mental State Examination score did not explain the variability in BBB integrity. BBB impairment as a possible modifier of disease progression is suggested by correlations between the CSF-albumin index and measures of disease progression over 1 year. [13] The BBB is dysfunctional in a portion of all patients with Alzheimer disease, primarily in men. BBB dysfunction may influence the clearance of both harmful and beneficial substances across the barrier. Renal function may have an impact on the BBB. [14]

Pittsburgh Compound-B PET scan findings match histopathologic reports of Aβ distribution in aging and dementia. Noninvasive longitudinal studies to better understand the role of amyloid deposition in the course of neurodegeneration and to determine if Aβ deposition in nondemented subjects is preclinical Alzheimer disease are now feasible. Findings also suggest that AB may influence the development of dementia with Lewy bodies, and therefore, strategies to reduce AV may benefit this condition. [15, 16, 17, 18, 19]

The combined use of conventional imaging, such as MRI or fluorodeoxyglucose PET (FDG-PET) scanning, with selected CSF biomarkers can incrementally contribute to the early and specific diagnosis of Alzheimer disease. Low CSF concentrations of the amyloid-β (Aβ1-42) peptide, in combination with high total tau and phosphorylated tau, are sensitive and specific biomarkers highly predictive of progression to Alzheimer disease dementia in patients with mild cognitive impairment. Moreover, selected combinations of imaging and CSF biomarker measures are of importance in monitoring the course of Alzheimer disease and, therefore, are relevant to evaluating clinical trials. [20, 21]

A number of in vivo neuroimaging techniques can be used to noninvasively assess aspects of neuroanatomy, chemistry, physiology, and pathology. Neuroimaging biomarkers may assist in the diagnosis of neurodegenerative dementia and may provide prognostic information. Structural MRI, 18F-FDG PET, and amyloid PET may be useful adjuncts to clinical examination. Novel MRI techniques and new PET radiotracers may further expand diagnostic capability. [4]

Although present therapy for Alzheimer disease involves enhancers of cholinergic function, disease-modifying agents may be available in the future. Emphasis is being placed on detecting the presymptomatic phase of the disease, which can be termed mild cognitive impairment (MCI). Neuroimaging is also used to exclude other causes of dementia, such as normal-pressure hydrocephalus, brain tumors, subdural hematoma, and multiple infarctions. [3, 5]


CT Scan

The initial criteria for CT scan diagnosis of Alzheimer disease includes diffuse cerebral atrophy with enlargement of the cortical sulci and increased size of the ventricles. A multitude of studies have indicated that cerebral atrophy is significantly greater in patients with Alzheimer disease than in patients who are aging without Alzheimer disease.

This concept was soon challenged, however, because cerebral atrophy can be present in elderly and healthy persons, and some patients with dementia may have no cerebral atrophy, at least in the early stages. The extent of cerebral atrophy was determined by using linear measurements—in particular, bifrontal and bicaudate diameters and the diameters of the third and lateral ventricles. Various measurements were adjusted according to the diameter of the skull to account for normal variation.

To complement this modification, volumetric studies of the ventricles were done. Despite these efforts, it is still difficult to distinguish between findings in a healthy elderly patient and those in a patient with dementia.

In addition, a review of serial CT scans obtained over several months was not clinically useful in the primary diagnosis of the disease.

Rate of change of brain atrophy

Changes in the rate of atrophy progression can be useful in diagnosing Alzheimer disease. [22, 23, 24] Longitudinal changes in brain size are associated with longitudinal progression of cognitive loss, [25] and enlargement of the third and lateral ventricles is greater in patients with Alzheimer disease than in control subjects. [26]

CT scan indices of hippocampal atrophy are highly associated with Alzheimer disease, but the specificity is not well established. Use of a nonquantitative rating scale showed a sensitivity of 81% and a specificity of 67% in differentiating 21 patients with Alzheimer disease with moderate dementia from 21 age-matched control subjects. [27] Hippocampal volumes in a sample of similar size permitted correct classification of 85% of control subjects. [28]

Changes in brain structure

Diffuse cerebral atrophy with widened sulci and dilatation of the lateral ventricles can be observed. Disproportionate atrophy of the medial temporal lobe, particularly of the volume of the hippocampal formations (< 50%), can be seen.

The hippocampus is one of the earliest affected brain regions in Alzheimer disease, and its dysfunction is believed to underlie the core feature of the disease-memory impairment. Changes in hippocampal volume, shape, symmetry, and activation are reflected by cognitive impairment. [29]

Dilatation of the perihippocampal fissure is a useful radiologic marker for the initial diagnosis of Alzheimer disease, with a predictive accuracy of 91%. [30] The hippocampal fissure is surrounded laterally by the hippocampus, superiorly by the dentate gyrus, and inferiorly by the subiculum. These structures are all involved in the early development of Alzheimer disease and explain the enlargement in the early stages. At the medial aspect, the fissure communicates with the ambient cistern, and its enlargement on CT scans is often seen as hippocampal lucency or hypoattenuation in the temporal area medial to the temporal horn.

The temporal horns of the lateral ventricles may be enlarged. Prominence of the choroid and hippocampal fissures and enlargement of the sylvian fissure may be noted. White matter attenuation is not a feature of Alzheimer disease.



MRI is able to identify structural changes, including patterns of atrophy, that characterize neurodegenerative diseases, and can distinguish these from other causes of cognitive impairment, such as infarcts, space-occupying lesions, and hydrocephalus. [31]

Rates of whole brain and hippocampal atrophy from MRI scans can aid in disease diagnosis and tracking of pathologic progression in neurodegenerative diseases. Many studies have shown that cerebral atrophy is significantly greater in patients with Alzheimer disease than in persons without it. However, the variability of atrophy in the normal aging process makes it difficult to use MRI as a definitive diagnostic technique. [32, 33, 34, 23]  (See the images below.)

Coronal, T1-weighted magnetic resonance imaging (M Coronal, T1-weighted magnetic resonance imaging (MRI) scan in a patient with moderate Alzheimer disease. Brain image reveals hippocampal atrophy, especially on the right side.
Axial, T2-weighted magnetic resonance imaging (MRI Axial, T2-weighted magnetic resonance imaging (MRI) scan of the brain reveals atrophic changes in the temporal lobes.
Axial, T2-weighted magnetic resonance imaging (MRI Axial, T2-weighted magnetic resonance imaging (MRI) scan shows dilated sylvian fissure resulting from adjacent cortical atrophy, especially on the right side.
Axial, T1-weighted magnetic resonance imaging (MRI Axial, T1-weighted magnetic resonance imaging (MRI) scan shows a dilated sylvian fissure caused by adjacent cortical atrophy.
Axial, T1-weighted magnetic resonance imaging (MRI Axial, T1-weighted magnetic resonance imaging (MRI) scan shows bilateral cortical atrophy with accentuated cortical sulci; there is decreased involvement posteriorly compared to anteriorly.
Axial, T1-weighted magnetic resonance imaging (MRI Axial, T1-weighted magnetic resonance imaging (MRI) scan shows bilateral cortical atrophy with accentuated cortical sulci; there is decreased involvement posteriorly compared to anteriorly.

Fox et al used an automated technique that is potentially applicable, in the clinical setting, to subtractiom MRI scans obtained an average of 1 year apart. They observed that there was a significant difference between the rate of change in patients with Alzheimer disease and the rate in control subjects. With MRI, sensitivity and specificity were approximately 90% for predicting the decline in dementia. [35]

Changes in hippocampal volume, shape, symmetry and activation are reflected by cognitive impairment. [29] Early MRI studies to evaluate the size of the hippocampus in patients with Alzheimer disease relative to control subjects showed large reductions in hippocampal volumes (approximately 50%) and high sensitivity and specificity for classification. [36] Over time, enlargement of the temporal horns, as well as of the third and lateral ventricles, was noted in patients with Alzheimer disease as compared with control subjects.

On structural MRI, atrophy of the entorhinal cortex is already present in MCI. In the autosomal dominant forms of Alzheimer disease, the rate of atrophy of the medial temporal structures differentiates affected individuals from control subjects as early as 3 years before the clinical onset of cognitive impairment. The accelerated annual rate of brain atrophy is a surrogate tool for evaluating new therapies in small samples that may save time and resources.

MRI measurements of the hippocampus, amygdala, cingulate gyrus, head of the caudate nucleus, temporal horn, lateral ventricles, third ventricle, and basal forebrain yield a predictive rate of 77% for conversion to Alzheimer disease from questionable Alzheimer disease. [37, 38]

Functional MRI (fMRI) techniques can be used to measure cerebral perfusion. Dynamic susceptibility contrast (DSC) MRI consists of the passage of a concentrated bolus of a paramagnetic contrast agent that sufficiently distorts the local magnetic field to cause a transient loss of signal with pulse sequences, especially T2-weighted sequences. The passage of contrast material is imaged over time by sequential rapid imaging of the same section. In animal studies, the rate of change of signal intensity over time gives a measure directly proportional to cerebral blood volume. Studies in humans have shown a correlation between PET and DSC MRI scan results, as well as between cerebral blood volumes measured with DSC MRI and perfusion on single-photon emission computed tomography (SPECT) scanning.

Studies have been performed using MRI with echo-planar imaging and signal targeting with attenuation radiofrequency (EPISTAR) in patients with Alzheimer disease. Focal areas of hypoperfusion were in the posterior temporoparieto-occipital regions. Ratios of signal intensity in the parieto-occipital and temporo-occipital areas to signal intensity on whole section were significantly lower in the patients with Alzheimer disease than in those without it. The parieto-occipital ratios were not correlated with the severity of dementia, as measured by using the Blessed Dementia Scale Information Memory Concentration subset.

With fMRI, structural imaging can be done by using the same imaging plane, field of view, and section thickness. Activational fMRI studies have included blood oxygenation level–dependent (BOLD) imaging, which uses changes in the level of oxygenated hemoglobin in capillary beds to depict areas of regional brain activation. In Alzheimer disease, fMRI activation in the hippocampal and prefrontal regions is decreased.

On fMRI, paradigms activate a larger area of parietotemporal association cortex in persons at high risk for Alzheimer disease than in others, whereas the entorhinal cortex activation is relatively low in MCI. [39]

The techniques are reasonably sensitive and specific in differentiating Alzheimer disease from changes resulting from normal aging, and studies with pathologic confirmation show good sensitivity and specificity in differentiating Alzheimer disease from other dementias. These techniques can also be used to detect abnormalities in asymptomatic or presymptomatic individuals, and they may help in predicting the decline to dementia.

Atlthough hippocampal volume has been shown in MRI studies to be associated with cognitive impairment in patients with Alzheimer disease, hippocampal texture has also been shown to be a predictor of conversion of mild cognitive impairment to Alzheimer disease, according to the Alzheimer's Disease Neuroimaging Initiative.  [40]

Degree of confidence

MRI findings of hippocampal atrophy are highly associated with Alzheimer disease, but the specificity is not well established. [41] Studies have shown that in patients with Alzheimer disease and moderate dementia, hippocampal volumes permitted correct classification in 85% of patients. [42] In patients with Alzheimer disease and mild dementia, sensitivity was 77%, and specificity, 80%. [43] Hippocampal volume was the best discriminator, although a number of medical temporal-lobe structures were studied, including the amygdala and the parahippocampal gyrus.

Hippocampal atrophy appears to be a feature of vascular disease (multi-infarct dementia) and Parkinson disease, even in patients with Parkinson disease without dementia. Hippocampal and entorhinal cortical atrophy are features of frontotemporal dementia, but they do not appear to be as profound as atrophy is in Alzheimer disease. [44]


SPECT Scanning

Single-photon emission computed tomography (SPECT) scanning is not commonly used to assess Alzheimer disease. SPECT scanning is useful in the diagnostic assessment of Alzheimer disease if standardized and semiquantitative techniques are used. SPECT does have diagnostic value, particularly in differentiating Alzheimer disease from frontotemporal dementia and normal control subjects. However, it should not be used in isolation, but rather as an adjunct, and interpreted in the context of clinical information test results. [45]

SPECT scanning uses direct photon-emitting isotopes rather than radioisotopes. SPECT isotopes have an average half-life of 6-12 hours. SPECT instrumentation is highly variable; therefore, use of a SPECT scanner with poor resolution can result in poor clinical performance. Positron-emission tomography (PET) scanning uses tracers that measure regional glucose metabolism (rCMRGlc). SPECT imaging is most commonly used for blood-flow measurement.

Early SPECT studies of blood flow replicated findings of functional reductions in the posterior temporal and parietal cortex. The severity of temporoparietal hypofunction has been correlated with the severity of dementia in a number of studies. [22, 46, 47]  Reductions of blood flow and oxygen use can be found in the temporal and parietal neocortex in patients with Alzheimer disease and moderate to severe symptoms. [5]  Early reductions of glucose metabolism are seen in the posterior cingulate cortex.

Trollor et al examined 18 patients with early Alzheimer disease and 10 healthy, elderly control subjects with high-resolution SPECT scanning during their performance of a simple word-discrimination task and observed a gradation of regional cerebral blood flow (rCBF) values in both groups. The lowest values were in the hippocampus and the highest in the striatum, thalamus, and cerebellum. In the study, SPECT images were coregistered with individual MRI scans, allowing for the delineation of predetermined neuroanatomic regions of interest (ROI). [28]

In Trollor et al, patients with Alzheimer disease had low relative rCBF in the parietal and prefrontal cortices compared with healthy control subjects. Analysis of individual ROI demonstrated bilateral reduction of rCBF in the prefrontal poles and posterior temporal and anterior parietal cortex, with unilateral reduction of rCBF in the left dorsolateral prefrontal cortex, right posterior parietal cortex, and left cingulate body. No significant differences in hippocampal, occipital, or basal ganglia rCBF were found. Discriminant function analysis indicated that rCBF in the prefrontal polar regions permitted the best classification. [28]

In class II studies, the sensitivity of SPECT scanning was lower than that of the clinical diagnosis. [48] Sensitivity increased as the severity of dementia worsened, but the pretest probability of Alzheimer disease increased as well. [49]

The added value of SPECT scanning was found to be greatest for a positive test among patients with mild dementia in whom the diagnosis of Alzheimer disease was substantially doubted. [50] In this situation, a positive SPECT scan result would have increased the posttest probability of Alzheimer disease by 30%, whereas a negative test result would have increased the likelihood of the absence of Alzheimer disease by only 10%. [51]

Degree of confidence

Without surprise, clinically validated SPECT scan studies showing differences between patients with Alzheimer disease and control subjects reveal high sensitivities and specificities of 80-90%. [51]

In one study, investigators compared patients from a dementia clinic with a community sample of control subjects using quantitative SPECT scanning and reported a 63% sensitivity and an 87% specificity. Alzheimer disease was defined in the study as temporal lobe perfusion more than 2 standard deviations below control values.

Holman et al found that bilateral temporoparietal hypoperfusion had a positive predictive value of 82% for Alzheimer disease. [52] Using inhaled xenon-133 (133 Xe) and injected technetium-99m [99mTc] hexamethylpropyleneamine oxime, researchers reported a sensitivity of 76% and a specificity of 73%, with a positive predictive value of 92% and a negative predictive value of 57%. [53] These studies may assist in the early and late diagnosis of Alzheimer disease and with the differential diagnosis of dementias.


PET Scanning

PET scanning is a powerful imaging technique that enables in vivo examination of brain functions. It allows for noninvasive quantification of cerebral blood flow, metabolism, and receptor binding. PET scanning helps in understanding the disease's pathogenesis, making the correct diagnosis, and monitoring the disease's progression and response to treatment. [54, 55, 31]

PET scanning involves the introduction of a radioactive tracer into the human body, usually with an intravenous injection. A tracer is essentially a biologic compound of interest that is labeled with a positron-emitting isotope, such as carbon-11 (11C), fluorine-18 (18F), or oxygen-15 (15O). These isotopes are used because they have relatively short half-lives (from minutes to < 2 hr), allowing the tracers to reach equilibrium in the body without exposing the subjects to prolonged radiation. [17, 56, 57, 58, 59, 60, 61, 62, 63, 64]  Fifty radiopharmaceuticals for the in vivo imaging of amyloid burden and other tracers are being developed for the assessment of tauopathies and inflammatory processes, which may underlie the onset of the amyloid cascade. [31]

The 2 most common physiologic process measurements performed using PET scanning are glucose with [18F] FDG and cerebral blood flow using water. [41]

FDG-PET has been used extensively to study Alzheimer disease, and it is evolving into an effective tool for early diagnosis and for differentiation of Alzheimer disease from other types of dementia. FDG-PET has been used to detect persons at risk for Alzheimer disease even before the onset of symptoms. [65]

Patients with Alzheimer disease have characteristic temporoparietal glucose hypometabolism, the degree of which is correlated with the severity of dementia. [66] (Temporal and parietal glucose hypometabolism is widely seen on PET images in patients with Alzheimer disease.) With disease progression, frontal involvement may be evident. Glucose hypometabolism in Alzheimer disease is likely to be caused by a combination of neuronal cell loss and decreased synaptic activity. [67]

In control subjects, entorhinal cortex hypometabolism on FDG-PET has predictive value in the progression of dementia to MCI or even to Alzheimer disease. [68, 69] The identification of asymptomatic individuals at risk will have an enormous role in the treatment strategy for Alzheimer disease. [56] Individuals at high risk for Alzheimer disease (asymptomatic carriers of the APOE*E4 allele) exhibit a pattern of glucose hypometabolism similar to that of patients with Alzheimer disease. After a mean follow-up of 2 years, the cortical metabolic abnormality continues to decline despite preservation of cognitive performance. [70, 69]

Teipel et al found that time to conversion from MCI to Alzheimer disease was best predicted by increased AV45-PET signal in posterior medial and lateral cortical regions, decreased FDG-PET signal in medial temporal and temporobasal regions, and reduced gray matter volume in medial, basal, and lateral temporal regions. [71]

In patients with Alzheimer disease, PET performed with ligand PK11195 labeled with 11C, or (R)-[11C] PK11195, showed increased binding in the entorhinal, temporoparietal, and cingulate cortices. This finding corresponded to the postmortem distribution of Alzheimer disease pathology. [72]

Degree of confidence

Despite the technical differences, results from PET and SPECT scanning are comparable, although data suggest that PET scanning is more sensitive than SPECT scanning. [73] On PET or SPECT scanning, mild Alzheimer disease may be more difficult to detect than moderate or severe disease. In Alzheimer disease, FDG-PET has a sensitivity of 94% and a specificity of 73%. It can also be used to correctly predict a progressive course of dementia with a 91% sensitivity and a nonprogressive course with a 75% specificity. [74] Efforts to develop a specific ligand for Aβ plaques may further enhance the sensitivity of PET scanning for early diagnosis of Alzheimer disease and may provide a biologic marker of disease progression. [72]

In their study, Boxer et al reported that different amyloid-binding PET scan agents—Pittsburgh Compound-B and FDDNP—may have differential sensitivity to prion-related brain pathology and that a combination of amyloid imaging agents may be useful in the diagnosis of early onset dementia. [75]

Florbetapir F-18 (AMYViD) was approved by the FDA in April 2012 as a diagnostic imaging agent. It is indicated for PET brain imaging of beta-amyloid neuritic plaques in adults being evaluated for Alzheimer disease or other cognitive decline.

Approval for florbetapir F-18 was based on 3 clinical studies that examined images from healthy adult patients as well as patients with a range of cognitive disorders, including some terminally ill patients who had agreed to participate in a postmortem brain donation program. Measurements from postmortem cortical amyloid burden correlated with median florbetapir F-18 scores (r=0.78; P< 0.0001). [57]

In a study by Clark et al, the presence and density of beta amyloid correlated closely in individuals who had florbetapir-PET imaging within 99 days before death and then upon autopsy. [58] Patients with probable Alzheimer disease or mild cognitive impairment or older healthy control subjects showed significantly different mean cortical florbetapir uptake value ratios in a study by Fleisher et al. [59]

In October 2013, the FDA approved the a second 18F-labeled Pittsburgh compound B (PIB) derivative, flutemetamol F-18 injection (Vizamyl), for use with PET brain imaging in adults undergoing evaluation for Alzheimer disease and dementia. Like florbetapir F-18, flutemetamol F-18 attaches to beta amyloid in the brain and produces a PET image that can be used to assess its presence. A positive scan indicates there is likely a moderate or greater amount of amyloid in the brain, but it does not establish a diagnosis of Alzheimer disease or other dementia. The effectiveness of flutemetamol F-18 was established in 2 clinical studies with 384 participants who had a range of cognitive function. [60]

A third agent, florbetaben F-18 (Neuraceq), was approved by the FDA in March 2014. Images may be obtained between 45 and 130 minutes after the injected dose. FDA approval was based on safety data from 872 patients who participated in global clinical trials, as well as 3 studies that examined images from adults with a range of cognitive function, including 205 end-of-life patients who had agreed to participate in a postmortem brain donation program. Images were analyzed from 82 subjects with postmortem confirmation of the presence or absence of beta amyloid neuritic plaques. [61]

Fluorine-18 AV1451 study results have shown that pathologic aggregation of tau is closely linked to patterns of neurodegeneration and clinical manifestations of Alzheimer disease, in contrast to the more diffuse distribution of amyloid-β pathology. [76]