How to use neuroimaging biomarkers in the diagnosis framework of neurodegenerative diseases?

Neuroimaging biomarkers, together with CSF biomarkers, are more and more used to support the early and differential clinical diagnosis of neurodegenerative diseases in clinical setting that have access to those techniques. Based on a consensus of multidisciplinary experts leading to a princeps publication in the Lancet Neurology [Chételat et al., Lancet Neurol 2020; 19: 951-62], we proposed a three-arm diagnosis algorithm detailing the optimal combination of biomarkers for the diagnosis of neurodegenerative diseases according to the clinical presentation. The main conclusions of this princeps article are summarized here, including a brief overview of the complementarity of the most validated neuroimaging biomarkers available, and an argued presentation of the proposed diagnosis algorithm.

Brain charts for the human lifespan.

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.

[White matter hyperintensities in ageing: Pathophysiology, associated cognitive disorders and prevention]. / Hypersignaux de la substance blanche chez la personne âgée : physiopathologie, troubles cognitifs associés et pistes de prévention.

White matter hyperintensities (WMH), also known as leukoaraïosis are very common neuroradiological manifestations in the elderly. The main risk factors for WMH are age and high blood pressure. The vascular origin of these lesions is classically accepted and WMH are considered as one feature of the small vessel disease. WMH may be associated with clinical symptoms, depending notably on their importance according to age. They are associated with increased mortality, strokes and changes in cognition with a higher risk of dementia (vascular dementia or Alzheimer's disease). Modification of vascular risk factors could have a beneficial effect, but few evidences from controlled trials are available.

Neuroimaging biomarkers for Alzheimer's disease in asymptomatic APOE4 carriers.

INTRODUCTION: The E4 allele of the apolipoprotein E (APOE4) is the major known genetic risk factor for Alzheimer's disease (AD), with a dramatic increase in the risk of developing AD as the number of APOE4 alleles increases from 0 to 2. For this reason, asymptomatic APOE4 carriers as a group offer a great opportunity to search for the presence of early biomarkers for AD. The present article reviews neuroimaging studies on APOE4 carriers, focusing on cognitively normal individuals and on the main neuroimaging biomarkers for AD, i.e. atrophy with structural MRI, hypometabolism with FDG-PET, and amyloid deposition with amyloid-PET imaging. STATE OF THE ART: There are a great number of studies on the effect of APOE4 on brain structures, and they tend to show significant atrophy in APOE4 carriers compared to non-carriers especially in regions susceptible to AD pathology such as the hippocampus. However, results are rather discrepant which suggests that the effect of APOE4 on brain structure is subtle. As for FDG-PET metabolism, the few available studies show decreased metabolism, again especially in AD-sensitive regions such as posterior associative parietal areas, with a dose-dependent effect (i.e. worsening as the number of APOE4 alleles increases). Finally, there is a unanimous and major effect of APOE4 on amyloid deposition with an increase in Aß load as the number of APOE4 alleles increases and a decrease in the age of predicted amyloid-positivity in APOE4 carriers. This graded effect of APOE4 on atrophy, hypometabolism, and amyloid deposition is consistent with multimodal neuroimaging studies suggestive of a predominant effect of APOE4 on amyloid rather than tau-related injury and on brain metabolism rather than brain structure. Neuroimaging studies also suggest that APOE4 effects may be mediated by both Aß-dependent and Aß-independent pathological processes. This contradicts the view that Aß pathology is a necessary upstream event to neuronal injury in AD. PERSPECTIVES AND CONCLUSION: Future studies should tell whether the mechanisms and sequences evidenced in carriers are comparable to those found in non-carriers, but it is likely that APOE4 not only influences the risk for AD, but also modulates the pathophysiological cascade. Altogether, APOE4 carriers offer a great opportunity to investigate brain changes in the asymptomatic stages of AD and to further our understanding of the pathophysiology of the disease, although precaution is needed for interpretation in AD at large.

Macrostructural abnormalities in Korsakoff syndrome compared with uncomplicated alcoholism.

OBJECTIVE: To distinguish, in patients with Korsakoff syndrome (KS), the structural brain abnormalities shared with alcoholic patients without KS (AL), from those specific to KS. METHODS: MRI data were collected in 11 alcoholic patients with KS, 34 alcoholic patients without KS, and 25 healthy control subjects (CS). Gray and white matter volumes were compared in the 3 groups using a voxel-based approach. RESULTS: A conjunction analysis indicated a large pattern of shared gray and white matter volume deficits in AL and KS. There were graded effects of volume deficits (KS < AL < CS) in the medial portion of the thalami, hypothalamus (mammillary bodies), left insula, and genu of the corpus callosum. Abnormalities in the left thalamic radiation were observed only in KS. CONCLUSIONS: Our results indicate considerable similarities in the pattern of gray and white matter damage in AL and KS. This finding confirms the widespread neurotoxic effect of chronic alcohol consumption. Only a few cerebral regions, including the medial thalami, mammillary bodies, and corpus callosum, were more severely damaged in KS than in AL. The continuum of macrostructural damage from AL to KS is therefore restricted to key brain structures. Longitudinal investigations are required to determine whether alcoholic patients with medial thalamic volumes that are comparable to those of patients with KS are at increased risk of developing KS.

Accelerated cortical atrophy in cognitively normal elderly with high ß-amyloid deposition.

OBJECTIVE: Given the recent and growing interest in the concepts of prodromal and presymptomatic Alzheimer disease, it is crucial to determine whether the presence of ß-amyloid (Aß) in the brain of asymptomatic elderly individuals is a pathologic condition associated with accelerated neuronal and synaptic loss. The aim of the present study was to assess whether Aß influences the rate of atrophy in cognitively normal elderly individuals. METHODS: Seventy-four healthy elderly individuals underwent an MRI scan and a 11C-Pittsburgh compound B (PiB) PET scan at baseline and a second MRI scan 18 months later. Voxel-wise analyses were performed using maps of annual rate of atrophy generated from the serial MRI scans, including comparison between individuals with high vs low neocortical PiB and correlation with baseline neocortical PiB. RESULTS: The rate of atrophy was significantly higher in the normal elderly individuals with high PiB compared with those with low PiB and was significantly correlated with baseline neocortical PiB, with the highest significance in the temporal neocortex and the posterior cingulate cortex. CONCLUSIONS: Our findings show that the presence of Aß in the brain, known to occur in about one-third of asymptomatic elderly individuals, is actually a pathologic state associated with accelerated atrophy. They also suggest that therapy aimed to reduce the neurodegenerative process should be commenced in presymptomatic individuals with high PiB.

Using PET with 18F-AV-45 (florbetapir) to quantify brain amyloid load in a clinical environment.

PURPOSE: Positron emission tomography (PET) imaging of brain amyloid load has been suggested as a core biomarker for Alzheimer's disease (AD). The aim of this study was to test the feasibility of using PET imaging with (18)F-AV-45 (florbetapir) in a routine clinical environment to differentiate between patients with mild to moderate AD and mild cognitive impairment (MCI) from normal healthy controls (HC). METHODS: In this study, 46 subjects (20 men and 26 women, mean age of 69.0 ± 7.6 years), including 13 with AD, 12 with MCI and 21 HC subjects, were enrolled from three academic memory clinics. PET images were acquired over a 10-min period 50 min after injection of florbetapir (mean ± SD of radioactivity injected, 259 ± 57 MBq). PET images were assessed visually by two individuals blinded to any clinical information and quantitatively via the standard uptake value ratio (SUVr) in the specific regions of interest, which were defined in relation to the cerebellum as the reference region. RESULTS: The mean values of SUVr were higher in AD patients (median 1.20, Q1-Q3 1.16-1.30) than in HC subjects (median 1.05, Q1-Q3 1.04-1.08; p = 0.0001) in the overall cortex and all cortical regions (precuneus, anterior and posterior cingulate, and frontal median, temporal, parietal and occipital cortex). The MCI subjects also showed a higher uptake of florbetapir in the posterior cingulate cortex (median 1.06, Q1-Q3 0.97-1.28) compared with HC subjects (median 0.95, Q1-Q3 0.82-1.02; p = 0.03). Qualitative visual assessment of the PET scans showed a sensitivity of 84.6% (95% CI 0.55-0.98) and a specificity of 38.1% (95% CI 0.18-0.62) for discriminating AD patients from HC subjects; however, the quantitative assessment of the global cortex SUVr showed a sensitivity of 92.3% and specificity of 90.5% with a cut-off value of 1.122 (area under the curve 0.894). CONCLUSION: These preliminary results suggest that PET with florbetapir is a safe and suitable biomarker for AD that can be used routinely in a clinical environment. However, the low specificity of the visual PET scan assessment could be improved by the use of specific training and automatic or semiautomatic quantification tools.

[The default mode network: cognitive role and pathological disturbances]. / Le réseau cérébral par défaut : rôle cognitif et perturbations dans la pathologie.

INTRODUCTION: A "resting state" or "default mode network" has been highlighted in functional neuroimaging studies as a set of brain regions showing synchronized activity at rest or in task-independent cognitive state. STATE OF THE ART: A considerable and increasing number of studies have been conducted over the last few years so as to unravel the cognitive function(s) of this brain network. PERSPECTIVES: This review gives an overview of anatomical, physiological and phenomenological data regarding the default mode network. Different hypotheses have been proposed regarding the role of this network. Several studies have highlighted its involvement in autobiographical memory, prospection, self, attention, and theory of mind. The influence of the attention level and consciousness onto resting state brain network activity has also been discussed. Specific changes have been described in normal aging, Alzheimer's disease (AD) and multiple sclerosis (MS). CONCLUSIONS: These studies altogether contribute to a better definition of the default mode network, in terms of implicated brain structures, subtending mechanisms, and potential cognitive roles. For instance, similarities and relationships were found between self-related brain activity and resting-state activity in regions belonging to this network, namely posterior cingulate and prefrontal areas that may reflect introspective activity experienced, more or less consciously, when the brain is not specifically engaged in a cognitive task. As a whole, the default mode network appears as a non human-specific intrinsic functional network, active all over the life from birth until aging where it is progressively modified, and sensitive to different pathologies including AD and MS. On the other hand, many points remain to be clarified concerning this network, such as the exact part of its activity dedicated to self-related cognitive processes (introspection, imaginary mental scenario based on past autobiographical experiences) and that involved in a sentinel-like attentional process designated to react to possible environmental events. Indeed, it seems that this network is functional even in case of low level of consciousness, i.e., during light sleep. Conversely, a loss of self and environment perception as in coma, deep sleep or anesthesia might modulate its connectivity along the anteroposterior axis, i.e., frontal activity disappearance associated with a parietal reinforcement of connectivity. Since studies aiming at highlighting these points are still uncommon to date, exhaustive and objective explorations are needed to better understand all these resting state processes.

Beta-amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia.

OBJECTIVE: To investigate whether global and regional beta-amyloid (Abeta) burden as measured with 11C Pittsburgh compound B (PIB) PET is associated with hippocampal atrophy characterized using MRI in healthy controls and patients with amnestic mild cognitive impairment (aMCI) or Alzheimer disease (AD). METHODS: Ninety-two elderly healthy controls, 32 subjects with aMCI, and 35 patients with AD were imaged using 11C-PIB PET and MRI. Hippocampal volume was measured and PIB standardized uptake value ratio was extracted after partial volume correction within 41 regions of interest. Global, regional, and voxel-based correlations between PIB and hippocampal volume were computed for each group. RESULTS: In healthy control participants with elevated neocortex PIB retention, significant correlation was found between PIB retention in the inferior temporal region and hippocampal volume using both region-based and voxel-based approaches. No correlation was found in any other group. CONCLUSIONS: The strong correlation between hippocampal atrophy and beta-amyloid (Abeta) burden in the Pittsburgh compound B-positive healthy control group suggests that Abeta deposition in the inferior temporal neocortex is related to hippocampal synaptic and neuronal degeneration.

Three-dimensional surface mapping of hippocampal atrophy progression from MCI to AD and over normal aging as assessed using voxel-based morphometry.

The hippocampus is the brain structure of highest and earliest structural alteration in Alzheimer's disease (AD). New developments in neuroimaging methods recently made it possible to assess the respective involvement of the different hippocampal subfields by mapping atrophy on a 3D hippocampal surface view. In this longitudinal study on patients with mild cognitive impairment (MCI), we used such an approach to map the profile of hippocampal atrophy and its progression over an 18-month follow-up period in rapid converters to AD and "non-converters" compared to age-matched controls. For the sake of comparison, we also assessed the profile of hippocampal atrophy associated with AD and with increasing age in a healthy control population ranging from young adult to elderly. We found major involvement of the lateral part of the superior hippocampus mainly corresponding to the CA1 subfield in MCI and AD while increasing age was mainly associated with subiculum atrophy in the healthy population. Moreover, the CA1 subfield also showed highest atrophy rates during follow-up, in both rapid converters and "non-converters" although increased effects were observed in the former group. This study emphasizes the differences between normal aging and AD processes leading to hippocampal atrophy, pointing to a specific AD-related CA1 involvement while subiculum atrophy would represent a normal aging process. Our findings also suggest that the degree of hippocampal atrophy, more than its spatial localization, predicts rapid conversion to AD in patients with MCI.

Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease.

Although the patterns of structural and metabolic brain alterations in Alzheimer's disease are being refined and discrepancies between them are being underlined, the exact relationships between atrophy and hypometabolism are still unclear. In this study, we aimed to provide a direct comparison between grey matter atrophy and hypometabolism in a sample of patients with clinically probable Alzheimer's disease, using a voxel-based method specially designed to statistically compare the two imaging modalities. Eighteen patients with probable Alzheimer's disease of mild severity and 15 healthy aged controls underwent both high-resolution T1 MRI and resting-state (18)FDG-PET. The MRI data sets were handled using optimized VBM. The PET data were coregistered to their corresponding MRI, corrected voxel-wise for partial volume averaging and spatially normalized using the same parameters as those of their corresponding MRI volume. A differential smoothing was applied on the MRI and PET data sets to equalize their effective smoothness and resolution. For each patient, Z-score maps of atrophy and hypometabolism were created by comparing to the controls data set, respectively averaged to provide the profile of hypometabolism and atrophy, and entered in a voxel-by-voxel SPM analysis to assess the statistical differences between hypometabolism and atrophy. The observed patterns of hypometabolism and atrophy were consistent with previous studies. However, the direct comparison revealed marked regional variability in the relationship between hypometabolism and atrophy. Thus, the hypometabolism significantly exceeded atrophy in most altered structures, particularly in the posterior cingulate-precuneus, orbitofrontal, inferior temporo-parietal, parahippocampal, angular and fusiform areas. In contrast, a few hypometabolic structures among which the hippocampus exhibited similar degrees of atrophy and hypometabolism, a profile that significantly differed from the posterior cingulate. Excessive hypometabolism relative to atrophy suggests the intervention of additional hypometabolism-inducing factors, such as disconnection and amyloid deposition, resulting in genuine functional perturbation ahead of actual atrophy and perhaps of pathology as well. Conversely, in the hippocampus, where disconnection processes are also likely to occur, relative synaptic compensatory mechanisms may be taking place, maintaining neuronal activity in the face of structural alterations.

[Alzheimer's disease and human memory]. / La maladie d'Alzheimer et la mémoire humaine.

Memory disorders observed in Alzheimer's disease gave rise, from the eighties, to a detailed analysis into the framework of cognitive neuropsychology which aimed at describing the deficits of very specific processes. Beyond their clinical interest, these studies contributed to the modelisation of human memory thanks to the characterization of different memory systems and their relationships. The first part of this paper gives an overview of the memory deficits in Alzheimer's disease and insists on particular cognitive phenomena. Hence, several examples are developed in the domains of semantic memory (such as hyperpriming and hypopriming effects) and autobiographical memory. Recent results highlight the existence of severe autobiographical amnesia observed in all neurodegenerative diseases, though with contrasting profiles: Ribot's gradient in Alzheimer's disease (showing that remote memories are better preserved than recent ones), reverse gradient in semantic dementia and no clear gradient in the frontal variant of frontotemporal dementia. The second part of this article presents advances in cognitive neuroscience searching to disclose the cerebral substrates of these cognitive deficits in Alzheimer's disease. The studies using functional imaging techniques are the most informative regarding this problematic. While showing the dysfunctions of an extended network, they emphasize the selectivity of cerebral damages that are at the root of very specific cognitive dysfunctions, coming close in that way to the conceptions of cognitive neuropsychology. These neuroimaging studies unravel the existence of compensatory mechanisms, which until recently were clearly missing in the literature on neurodegenerative diseases. These different researches lead to a wide conception of human memory, not just limited to simple instrumental processes (encoding, storage, retrieval), but necessarily covering models of identity and continuity of the subject, which interact in a dynamic way with eminently changing memory representations.

[Brain profile of hypometabolism in early Alzheimer's disease: relationships with cognitive deficits and atrophy]. / Profil d'hypométabolisme au stade précoce de la maladie d'Alzheimer: lien avec les déficits mnésiques et le profil d'atrophie.

While accurate and early prediction of patients that will develop Alzheimer's disease (AD) in the near future is urgently needed, the amnestic Mild Cognitive Impairment (MCI) state is of particular interest since it most conveniently represents the pre-dementia stage of AD. Consistently, the profile of brain functional alteration constantly evidenced in resting-state SPECT and PET studies is similar to that observed in mild AD, mainly involving the posterior cingulate and temporo-parietal regions. While the former is a characteristic feature of MCI, since it is present in each patient at this stage, the latter seems specifically associated with the future conversion to AD. Moreover, right temporo-parietal hypometabolism has been found to be the best predictor of subsequent global cognitive decline, over and above neuropsychological and MRI volumetric measurements. This review also presents a discussion on the relationships between the brain profile of hypometabolism on the one hand, and cognitive impairment as well as cerebral structural alterations on the other. Thus, firstly, while functional impairment in the posterior cingulate region seems to be associated with deficits in retrieval of episodic memories in MCI, the relationship between right temporo-parietal hypometabolism and cognitive impairment is still obscure. However, several arguments point to its relation with visuo-spatial deficits, which are often associated with future conversion to AD. Secondly, the discordance between brain areas of major functional changes, and those of highest structural alterations, leads to some relevant questions about the relations between both pathological manifestations and their underlying mechanisms. More specifically, additional hypometabolism-inducing factors could occur in areas of highest hypometabolism compared to atrophy, i.e. mainly in posterior associative cortical regions, leading to genuine functional perturbation in early AD before the development of real atrophy and perhaps of disease as well. By contrast, the hippocampus is the main site of atrophy while its functional alteration is still debated, suggesting that compensation/protective mechanisms probably specifically occur in this structure to maintain a high level of metabolism relative to its structural alteration.

Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: a longitudinal MRI study.

Capturing the dynamics of gray matter (GM) atrophy in relation to the conversion from mild cognitive impairment (MCI) to clinically probable Alzheimer's disease (AD) would be of considerable interest. In this prospective study we have used a novel longitudinal voxel-based method to map the progression of GM loss in MCI patients over time and compared converters to non-converters. Eighteen amnestic MCI patients were followed-up for a predefined fixed period of 18 months and conversion was judged according to NINCDS-ADRDA criteria for probable AD. Each patient underwent a high-resolution T1-weighted volume MRI scan both at entry in the study and 18 months later. We used an optimal VBM protocol to compare baseline imaging data of converters to those of non-converters. Moreover, to map GM loss from baseline to follow-up assessment, we used a modified voxel-based morphometry (VBM) procedure specially designed for longitudinal studies. At the end of the follow-up period, seven patients had converted to probable AD. Areas of lower baseline GM value in converters mainly included the hippocampus, parahippocampal cortex, and lingual and fusiform gyri. Regions of significant GM loss over the 18-month follow-up period common to both converters and non-converters included the temporal neocortex, parahippocampal cortex, orbitofrontal and inferior parietal areas, and the left thalamus. However, there was significantly greater GM loss in converters relative to non-converters in the hippocampal area, inferior and middle temporal gyrus, posterior cingulate, and precuneus. This accelerated atrophy may result from both neurofibrillary tangles accumulation and parallel pathological processes such as functional alteration in the posterior cingulate. The ability to longitudinally assess GM changes in MCI offers new perspectives to better understand the pathological processes underlying AD and to monitor the effects of treatment on brain structure.

[Brain substrates of episodic memory disorders in Alzheimer's disease]. / Les substrats cérébraux des troubles de la mémoire épisodique dans la maladie d'Alzheimer.

Resting state PET measurement is useful to unravel brain regions whose dysfunction is responsible for impairment of episodic memory in Alzheimer's disease. First, the consistent hypometabolism of posterior cingulate cortex, temporo-parietal cortex and frontal cortex contrasts with the frequent lack of hippocampal hypometabolism, although it is first to be concerned by neurofibrillary tangles. Several hypotheses are proposed to explain this paradoxical result. Second, the correlative approach (correlations between memory performances and metabolic values on a voxel basis) shows that dysfunction of the hippocampal region is responsible for the earliest deficits of episodic memory, and then suggests the recruitment of neocortical temporal areas normally involved in semantic memory, perhaps as a form of a compensatory mechanism. When applied to the study of Mild Cognitive Impairment, this approach is also very fruitful.

[At the boundary between normal aging and Alzheimer disease]. / Aux frontières de l'Alzheimer.

Accurately predicting the development of probable Alzheimer's disease (AD) early in the course of the disease would have major implications. Hence, the pre-dementia stage of AD has become a major topic of current research. Amnestic 'mild cognitive impairment' (MCI) has recently emerged as the most convenient avenue to address this Issue, since most of MCI patients will progress to AD, at a rate of 10% to 15% per Year, suggesting that MCI represents the clinical manifestation of incipient AD (Petersen et al., 2001). However, all MCI patients would probably not convert to AD, at least in the near future, so that the Issue of prospective longitudinal studies is to detect specific indices of rapid conversion. In this paper, we focus on longitudinal studies using either neuropsychology, or morphological or functional neuroimaging to find predictive markers allowing to distinguish those MCI patients that rapidly convert to AD from those that do not develop the disease during the follow-up period. Whereas functional neuroimaging, and more specifically FDG-PET, seems particularly accurate to predict AD, the combination of multiple approaches is likely to be a promising avenue.

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

Patients with mild cognitive impairment (MCI) were assessed, and a metabolic profile associated with conversion to AD at 18-month follow-up was sought. As compared with nonconverters (n = 10), converters (n = 7) had lower fluorodeoxyglucose uptake in the right temporoparietal cortex (p = 0.02, corrected for cluster size), without individual overlap. Awaiting replication in an independent sample, these findings suggest that among patients with MCI, fluorodeoxyglucose PET may accurately identify rapid converters.

In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease.

Up till now, the study of regional gray matter atrophy in Alzheimer's disease (AD) has been assessed with regions of interest, but this method is time-consuming, observer dependent, and poorly reproducible (especially in terms of cortical regions boundaries) and in addition is not suited to provide a comprehensive assessment of the brain. In this study, we have mapped gray matter density by means of voxel-based morphometry on T1-weighted MRI volume sets in 19 patients with mild AD and 16 healthy subjects of similar age and gender ratio and report highly significant clusters of gray matter loss with almost symmetrical distribution, affecting mainly and in decreasing order of significance the medial temporal structures, the posterior cingulate gyrus and adjacent precuneus, and the temporoparietal association and perisylvian neocortex, with only little atrophy in the frontal lobe. The findings are discussed in light of previous studies of gray matter atrophy in AD based either on postmortem or neuroimaging data and in relation to PET studies of resting glucose consumption. The limitations of the method are also discussed in some detail, especially with respect to the segmentation and spatial normalization procedures as they apply to pathological brains. Some potential applications of voxel-based morphometry in the study of AD are also mentioned.