How does the apolipoprotein E genotype modulate the brain in aging and in Alzheimer's disease? A review of neuroimaging studies

A novel voxel-based method to estimate cortical sulci width and its application to compare patients with Alzheimer's disease to controls

A voxel-based method for measuring sulcal width was developed, validated and applied to a database. This method (EDT-based LM) employs the 3D Euclidean Distance Transform (EDT) of the pial surface and a Local Maxima labeling algorithm. A computational phantom was designed to test method performance; results revealed the method's inaccuracy δ, to range between 0.1 and 0.5 voxels, for a width that varied between 1 and 7 voxels. Two morphological descriptors were computed to characterize each defined sulcus: mean sulcal width (MSW) and mean absolute deviation (MAD). The former is the average width for all available width measurements within the sulcus, and the latter is the deviation of these measurements. The EDT-based LM method was applied to the Minimal Interval Resonance Imaging in the Alzheimer's Disease (MIRIAD) database, for a set of high-resolution Magnetic Resonance (MR) images of 66 subjects: 43 patients with Alzheimer Disease (AD) and 23 control subjects. AD causes significant gray matter loss; hence, some sulci were expected to broaden. Methodological results concurred with this hypothesis. After a Wilcoxon test, MSW was grater in the case of all sulci pertaining to AD patients, (p < 0.05, FDR corrected), whereas MAD showed significant differences in 8 sulci (p < 0.05, FDR corrected). This work presents a novel voxel-based method for measuring sulcal width and extracting descriptors to characterize and compare the sulci within and across subjects.

Voxel-based morphometry study on monozygotic twins discordant for Alzheimer's disease

OBJECTIVES

We set to investigate the possible role of genes and environment in developing Alzheimer's disease (AD) in monozygotic twin pairs discordant for AD.

METHODS

Three pairs of twins discordant for AD, who were enrolled in the Finnish Twin Cohort, were used in the study and compared with 13 controls. Gray matter changes were assessed with magnetic resonance images using voxel-based morphometry with statistical parametric mapping.

RESULTS

In the affected twins, the peaks of volume loss were located bilaterally in the temporal (including the hippocampus), the frontal, and the parietal lobes, while in the unaffected siblings, the peaks were located in the frontal gyri and in the parietal lobule. Thus, in the unaffected twins, the pattern of volume loss overlaps with the neocortical but not with the medial temporal areas.

DISCUSSION

These findings suggest that genetic factors more largely control neocortical regions, whereas environmental factors more strongly affect medial temporal regions.

Associations between the self-reported frequency of hearing chemical alarms in theater and regional brain volume in Gulf War Veterans

BACKGROUND

We previously reported evidence of reduced cortical gray matter (GM), white matter (WM), and hippocampal volume in Gulf War (GW) veterans with predicted exposure to low-levels of nerve agent according to the 2000 Khamisiyah plume model analysis. Because there is suggestive evidence that other nerve agent exposures may have occurred during the Gulf War, we examined the association between the self-reported frequency of hearing chemical alarms sound during deployment in the Gulf War and regional brain volume in GW veterans.

METHODS

Ninety consecutive GW veterans (15 female, mean age: 52±8years) participating in a VA-funded study underwent structural magnetic resonance imaging (MRI) on a 3T scanner. Freesurfer (version 5.1) was used to obtain regional measures of cortical GM, WM, hippocampal, and insula volume. Multiple linear regression was used to determine the association between the self-reported frequencies of hearing chemical alarms during the Gulf War and regional brain volume.

RESULTS

There was an inverse association between the self-reported frequency of hearing chemical alarms sound and total cortical GM (adjusted p=0.007), even after accounting for potentially confounding demographic and clinical variables, the veterans' current health status, and other concurrent deployment-related exposures that were correlated with hearing chemical alarms. Post-hoc analyses extended the inverse relationship between the frequency of hearing chemical alarms to GM volume in the frontal (adjusted p=0.02), parietal (adjusted p=0.01), and occipital (adjusted p=0.001) lobes. In contrast, regional brain volumes were not significantly associated with predicted exposure to the Khamisiyah plume or with Gulf War Illness status defined by the Kansas or Centers for Disease Control and Prevention criteria.

CONCLUSIONS

Many veterans reported hearing chemical alarms sound during the Gulf War. The current findings suggest that exposure to substances that triggered those chemical alarms during the Gulf War likely had adverse neuroanatomical effects.

Associations among vascular risk factors, carotid atherosclerosis, and cortical volume and thickness in older adults

BACKGROUND AND PURPOSE

The purpose of this study was to investigate whether the Framingham Cardiovascular Risk Profile and carotid artery intima-media thickness are associated with cortical volume and thickness.

METHODS

Consecutive subjects participating in a prospective cohort study of aging and mild cognitive impairment enriched for vascular risk factors for atherosclerosis underwent structural MRI scans at 3-T and 4-T MRI at 3 sites. Freesurfer (Version 5.1) was used to obtain regional measures of neocortical volumes (mm3) and thickness (mm). Multiple linear regression was used to determine the association of Framingham Cardiovascular Risk Profile and carotid artery intima-media thickness with cortical volume and thickness.

RESULTS

One hundred fifty-two subjects (82 men) were aged 78 (±7) years, 94 had a clinical dementia rating of 0, 58 had a clinical dementia rating of 0.5, and the mean Mini-Mental State Examination was 28±2. Framingham Cardiovascular Risk Profile score was inversely associated with total gray matter volume and parietal and temporal gray matter volume (adjusted P<0.04). Framingham Cardiovascular Risk Profile was inversely associated with parietal and total cerebral gray matter thickness (adjusted P<0.03). Carotid artery intima-media thickness was inversely associated with thickness of parietal gray matter only (adjusted P=0.04). Including history of myocardial infarction or stroke and radiological evidence of brain infarction, or apolipoprotein E genotype did not alter relationships with Framingham Cardiovascular Risk Profile or carotid artery intima-media thickness.

CONCLUSIONS

Increased cardiovascular risk was associated with reduced gray matter volume and thickness in regions also affected by Alzheimer disease independent of infarcts and apolipoprotein E genotype. These results suggest a "double hit" toward developing dementia when someone with incipient Alzheimer disease also has high cardiovascular risk.

Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders

Brain morphometry in recent decades has increased our understanding of the neural bases of psychiatric disorders by localizing anatomical disturbances to specific nuclei and subnuclei of the brain. At least some of these disturbances precede the overt expression of clinical symptoms and possibly are endophenotypes that could be used to diagnose an individual accurately as having a specific psychiatric disorder. More accurate diagnoses could significantly reduce the emotional and financial burden of disease by aiding clinicians in implementing appropriate treatments earlier and in tailoring treatment to the individual needs. Several methods, especially those based on machine learning, have been proposed that use anatomical brain measures and gold-standard diagnoses of participants to learn decision rules that classify a person automatically as having one disorder rather than another. We review the general principles and procedures for machine learning, particularly as applied to diagnostic classification, and then review the procedures that have thus far attempted to diagnose psychiatric illnesses automatically using anatomical measures of the brain. We discuss the strengths and limitations of extant procedures and note that the sensitivity and specificity of these procedures in their most successful implementations have approximated 90%. Although these methods have not yet been applied within clinical settings, they provide strong evidence that individual patients can be diagnosed accurately using the spatial pattern of disturbances across the brain.

Association between cerebrospinal fluid tau and brain atrophy is not related to clinical severity in the Alzheimer's disease continuum

We aimed to assess the association between core cerebrospinal fluid (CSF) biomarkers, regional brain atrophy and clinical severity in the Alzheimer's disease (AD) continuum, as well as to investigate how cognitive reserve (CR) may modulate these putative associations. Forty-nine subjects (11 controls, 10 patients with subjective memory complaints, 19 with mild cognitive impairment and 9 mild AD) underwent lumbar puncture and high-resolution magnetic resonance imaging (MRI). CSF amyloid-β(1-42) (Aβ(1-42)), total tau (t-tau) and phosphorylated tau (p-tau(181)) were determined. Voxel-based morphometry (VBM) was applied and multiple regression analyses for the whole sample were carried out. Clinical severity was adjusted using the Clinical Dementia Rating Sum of Boxes score (CDR-SB). A negative correlation between t-tau levels and grey matter (GM) volume in temporo-parietal regions was found, regardless of CDR-SB score. In contrast, the negative correlation between p-tau(181) and GM volume was largely explained by clinical severity, except in the posterior cingulate cortex. CR did not significantly modify these correlations. Aβ(1-42) levels were not related to GM volume but were related to clinical severity, an association that was attenuated when CR was considered. In conclusion, the present findings reflect that t-tau CSF concentrations are associated with GM atrophy in neuropathologically relevant areas across the AD continuum, whereas the p-tau(181) association is largely dependent on the degree of clinical severity. The relationship between CSF Aβ(1-42) and clinical severity seems to be modulated by CR, suggesting that there may be subjects with pathological levels of Aβ(1-42) and high CR estimates who remain clinically asymptomatic.

Dopamine transporter genotype predicts implicit sequence learning

Implicit learning, the non-conscious acquisition of sequential and spatial environmental regularities, underlies skills such as language, social intuition, or detecting a target in a complex scene. We examined relationships between a variation of the dopamine transporter (DAT1) gene (SLC6A3), which influences dopamine transporter expression in the striatum, and two forms of implicit learning that differ in the regularity to be learned and in striatal involvement. Participants, grouped as 9-repeat carriers or 10/10 homozygotes, completed the triplets learning task (TLT) and the spatial contextual cueing task (SCCT). The TLT assesses sequence learning, recruiting the striatal system, particularly as training continues. In contrast, the SCCT assesses spatial context learning, recruiting medial temporal brain networks. For both tasks, participants demonstrated learning in faster and/or more accurate responses to repeating patterns or spatial arrays. As predicted, TLT learning was greater for the 9-repeat carriers than the 10/10 group (despite equal overall accuracy and response speed) whereas there were no significant group differences in SCCT. Thus, presence of the DAT1 9-repeat allele was beneficial only for implicit sequence learning, indicating the influence of DAT1 genotype on one form of implicit learning and supporting evidence that implicit learning of sequential dependencies and spatial layouts recruit different neural systems.

Impact of APOE status on cognitive maintenance in healthy elderly persons

OBJECTIVE

The epsilon4 allele, a variant of the apolipoprotein E (ApoE) gene, is the most prominent genetic risk factor for sporadic, non-familial Alzheimer's disease (AD) currently known. We investigated the impact of the ApoE-epsilon4 status on cognitive performance at repeated test administration in elderly non-symptomatic persons, with a specific focus on practice effects.

METHODS

Three hundred and fifty-five physically and mentally healthy participants of the Basel Study on the Elderly (119 F, 236 M; age 68.3 +/- 7.6; years of education 12.7 +/- 3.1; Mini-Mental State scores 29.0 +/- 1.0) were grouped into ApoE epsilon4 carriers and ApoE epsilon4 non-carriers (36.9% and 63.1% of the sample, respectively). Participants were assessed at the beginning of the longitudinal study and on average two years later by means of the California Verbal Learning Test (CVLT) and the Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery (CERAD-NAB), a multidimensional cognitive test battery. Baseline and change scores were analyzed with multiple regression procedures and adjusted for age, education and gender; change scores were also adjusted for baseline performance.

RESULTS

The ApoE epsilon4 non-carriers showed slightly better performance with regard to most cognitive parameters at baseline. Mean practice effects of the ApoE epsilon4 non-carriers in 12 out of 13 CVLT variables and in five out of the nine main CERAD-NAB variables were above the 50th percentile, while those of the ApoE epsilon4 carriers were below the 50th percentile in the respective distributions of test-retest change scores.

CONCLUSIONS

The epsilon4 allele of the ApoE gene has a negative impact on cognitive performance, notably on episodic memory functions, in physically and mentally healthy aged persons. Practice effects seen in carriers of the ApoE epsilon4 were inferior in most areas tested to the effects seen in ApoE epsilon4 non-carriers. Further follow-up of these subjects will help to determine the clinical significance of these findings.

Single voxel magnetic resonance spectroscopy at 3 Tesla in a memory disorders clinic: early right hippocampal NAA/Cr loss in mildly impaired subjects

In this study, we use magnetic resonance spectroscopy (MRS) at 3 Tesla to measure N-acetyl aspartate (NAA), myo-inositol (mI) and choline (Cho) to creatine (Cr) ratios in R (right) and L (left) hippocampi (H) in 8 mildly memory impaired (MMI), 6 probable Alzheimer's Disease (PRAD), and 17 control subjects. NAA/Cr was significantly reduced in the RH in the MMI group and bilaterally in the PRAD group vs. controls. No other metabolite differences were noted between the three groups. Five MMI subjects have converted to PRAD in follow-up. These findings suggest that RH NAA/Cr ratios measured at 3 Tesla may be a sensitive marker of future progression to dementia in a clinically defined population with isolated memory complaints.

Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects

In one of the largest brain MRI studies to date, we used tensor-based morphometry (TBM) to create 3D maps of structural atrophy in 676 subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy elderly controls, scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). Using inverse-consistent 3D non-linear elastic image registration, we warped 676 individual brain MRI volumes to a population mean geometric template. Jacobian determinant maps were created, revealing the 3D profile of local volumetric expansion and compression. We compared the anatomical distribution of atrophy in 165 AD patients (age: 75.6+/-7.6 years), 330 MCI subjects (74.8+/-7.5), and 181 controls (75.9+/-5.1). Brain atrophy in selected regions-of-interest was correlated with clinical measurements--the sum-of-boxes clinical dementia rating (CDR-SB), mini-mental state examination (MMSE), and the logical memory test scores - at voxel level followed by correction for multiple comparisons. Baseline temporal lobe atrophy correlated with current cognitive performance, future cognitive decline, and conversion from MCI to AD over the following year; it predicted future decline even in healthy subjects. Over half of the AD and MCI subjects carried the ApoE4 (apolipoprotein E4) gene, which increases risk for AD; they showed greater hippocampal and temporal lobe deficits than non-carriers. ApoE2 gene carriers--1/6 of the normal group--showed reduced ventricular expansion, suggesting a protective effect. As an automated image analysis technique, TBM reveals 3D correlations between neuroimaging markers, genes, and future clinical changes, and is highly efficient for large-scale MRI studies.

APOE-ε4 polymorphism and cognitive deficit among the elderly population of Fernando de Noronha

BACKGROUND: Polymorphism of the gene for apolipoprotein E (APOE) is an important risk factor for the development of Alzheimer's disease. The ε4 allele of the APOE gene has been linked with a number of neuropsychiatric illnesses, and also with stress and depression among geriatric populations. OBJECTIVE: To identify APOE-ε4 polymorphism and correlate this with cognitive deficit among the elderly population of the island of Fernando de Noronha. METHOD: Neuropsychiatric tests (mini-mental state examination, verbal fluency test and clock drawing test) were applied to 52 elderly people without Alzheimer's disease. DNA was isolated from peripheral blood and genotyping of APOE was done by the PCR-RFLP method. RESULTS: 87% of the elderly population (mean age 69.6±7.0) had cognitive deficit. CONCLUSION: The observed frequency of the ε4 allele was 10%, but the correlation between the presence of ε4 and cognitive deficit in this population was not statistically significant.

Translational research in late-life mood disorders: implications for future intervention and prevention research

Clinical and epidemiological studies have consistently observed the heterogeneous symptomatology and course of geriatric depression. Given the importance of genetic and environmental risk factors, aging processes, neurodegenerative and cerebrovascular disease processes, and medical comorbidity, the integration of basic and clinical neuroscience research approaches is critical for the understanding of the variability in illness course, as well as the development of prevention and intervention strategies that are more effective. These considerations were the impetus for a workshop, sponsored by the Geriatrics Research Branch in the Division of Adult Translational Research and Treatment Development of the National Institute of Mental Health that was held on September 7-8, 2005. The primary goal of the workshop was to bring together investigators in geriatric psychiatry research with researchers in specific topic areas outside of geriatric mental health to identify priority areas to advance translational research in geriatric depression. As described in this report, the workshop focused on a discussion of the development and application of integrative approaches combining genetics and neuroimaging methods to understand such complex issues as treatment response variability, the role of medical comorbidity in depression, and the potential overlap between depression and dementia. Future directions for integrative research were identified. Understanding the nature of geriatric depression requires the application of translational research and interdisciplinary research approaches. Geriatric depression could serve as a model for translational research integrating basic and clinical neuroscience approaches that would have implications for the study of other neuropsychiatric disorders.

MRI of hippocampus and entorhinal cortex in mild cognitive impairment: a follow-up study

The concept of mild cognitive impairment (MCI) has been proposed to represent a transitional stage between normal aging and dementia. We studied the predictive value of the MRI-derived volumes of medial temporal lobe (MTL) structures, white matter lesions (WML), neuropsychological tests, and Apolipoprotein E (APOE) genotype on conversion of MCI to dementia and AD. The study included 60 subjects with MCI identified from population cohorts. During the mean follow-up period of 34 months, 13 patients had progressed to dementia (9 to Alzheimer's disease (AD)). In Cox regression analysis the baseline volumes of the right hippocampus, the right entorhinal cortex and CDR sum of boxes predicted the progression of MCI to dementia during the follow-up. In a bivariate analysis, only the baseline volumes of entorhinal cortex predicted conversion of MCI to AD. The Mini-Mental State Examination (MMSE) score at baseline, WML load, or APOE genotype were not significant predictors of progression. The MTL volumetry helps in identifying among the MCI subjects a group, which is at high risk for developing AD.

The effect of apolipoprotein polymorphism on brain in mild cognitive impairment: a voxel-based morphometric study

We investigated the effect of apolipoprotein E (ApoE) on the whole brain in 51 individuals with mild cognitive impairment using voxel-based morphometry. Between cases heterozygous for the ApoE epsilon4 (n = 15) and those who were ApoE epsilon4 noncarriers (n = 28), only the right parahippocampal gyrus, with the entorhinal cortex included, reached the level of statistical significance. In cases homozygous for the epsilon4 allele (n = 8) versus noncarriers, the greatest atrophy was located in the right amygdala followed by the right parahippocampal gyrus, the left amygdala and the left medial dorsal thalamic nucleus.

Effects of ApoE genotype and mild cognitive impairment on implicit learning

The goals were to investigate implicit learning in mild cognitive impairment (MCI), and to determine the relations of implicit learning systems to apolipoprotein E (ApoE) genotype in healthy controls. Elderly controls grouped by ApoE status (ApoE-e4 allele carriers versus ApoE-e4 allele non-carriers) and MCI patients participated in the study. Individuals in all three groups completed both contextual cueing and serial reaction time (SRT) tasks. In the former, people learn to use repeated spatial configurations to facilitate search for a target, whereas in the latter, they learn to use subtle sequence regularities to respond more quickly and accurately to a series of events. Results revealed that healthy elderly individuals carrying the ApoE-e4 allele showed contextual cueing deficits compared to those who did not carry the ApoE-e4 allele. Further, elderly controls carrying the ApoE-e4 allele revealed similar amounts of contextual cueing as the MCI group, while the non-carriers performed better. Sequence learning, by contrast, was uninfluenced by either MCI or by ApoE genotype in healthy controls. This study provides further support for the medial temporal lobe dysfunction and relative integrity of fronto-striatal systems in MCI, and indicates the influence of ApoE genotype on implicit learning even in healthy older individuals without cognitive impairment.

No epsilon4 gene dose effect on hippocampal atrophy in a large MRI database of healthy elderly subjects

The effect of ApoE genotype on grey matter (GM) atrophy was studied on a cohort of 750 healthy elderly volunteers (age range 63-75 years). High-resolution T1-weighted MR images were processed using both voxel-based morphometry and region of interest analysis for hippocampal volume estimation. Significant decrease of grey matter in epsilon(4) homozygous subjects (n = 12), as compared both to epsilon(4) heterozygous subjects (n = 175) and to noncarrier (n = 563) subjects, was found bilaterally in the medial temporal lobe, including the hippocampus, and extending over the superior temporal gyrus. By contrast, no significant difference was observed between epsilon(4) heterozygous subjects and noncarriers at the level of the medial temporal lobe. Follow-up of the cohort cognitive performances over 4 years after their MRI exam revealed that, as compared to noncarrier subjects, the relative risk of cognitive impairment was 5.9 for epsilon(4) homozygous subjects (P = 0.03), while it was not different from 1 for epsilon(4) heterozygous subjects (P = 0.92). These findings indicate that, in the age range of this cohort, ApoE-4 effects on cortical atrophy and cognitive performances of healthy elderly are limited to epsilon(4) homozygous subjects.

Apolipoprotein epsilon4 is associated with more rapid decline in odor identification than in odor threshold or Dementia Rating Scale scores

Individuals with the apolipoprotein E epsilon4 genetic risk factor for Alzheimer's disease (AD) show deficits in olfactory function. The purpose of the present study was to examine longitudinally odor identification (odor ID), odor threshold, picture identification, and global cognitive status in allele positive (epsilon4+) and negative (epsilon4-) persons. Participants were initially given the San Diego Odor Identification test, an odor threshold test, and the Dementia Rating Scale (DRS). Participants were re-tested approximately four years later. The results indicate: (1) odor ID declined more rapidly in epsilon4+ than in epsilon4- normal elderly adults; (2) neither group exhibited a significant decline in odor threshold, picture identification or DRS scores. These results suggest that declines in odor identification occur before declines in other measures of dementia in persons at risk for AD because of their APOE allele genetic status.

Hippocampal gray matter reduction associates with memory deficits in adolescents with history of prematurity

Using optimized voxel-based morphometry (VBM), we compared the relationship between hippocampal and thalamic gray matter loss and memory impairment in 22 adolescents with history of prematurity (HP) and 22 normal controls. We observed significant differences between groups in verbal learning and verbal recognition, but not in visual memory. VBM analysis showed significant left hippocampal and bilateral thalamic reductions in HP subjects. Using stereological methods, we also observed a reduction in hippocampal volume, with left posterior predominance. We found correlations between left hippocampal gray matter reductions (assessed by VBM) and verbal memory (learning and percentage of memory loss) in the premature group. The stereological analysis showed a correlation between verbal learning and the left posterior hippocampus. Our results suggest that left hippocampal tissue loss may be responsible for memory impairment and is probably related to the learning disabilities that HP subjects present during schooling.

APOE and modulation of Alzheimer's and frontotemporal dementia

To investigate the difference in the morphologic expression of frontotemporal dementia (FTD) and Alzheimer's disease (AD) in patients carrying and not carrying the epsilon4 allele of APOE, MR images of 26 controls, 18 AD patients (11 carrying the epsilon4 allele, seven non-carriers), and eight FTD (two carriers, six non-carriers) were compared using voxel by voxel analysis. Greater atrophy was found in the disease-specific regions of the epsilon4 carriers vs the non-carriers at P < 0.05 corrected: medial temporal atrophy was greater in the AD carrying the epsilon4 allele, right ventral striatal atrophy in the FTD carrying the allele. The non-carriers did not have atrophic regions compared to the carriers. The epsilon4 allele of the APOE might modulate the expression of degenerative dementias by enhancing the specific effects of neurodegenerative diseases on the brain.

Temporal dynamics of brain anatomy

The brain changes profoundly in structure and function during development and as a result of diseases such as the dementias, schizophrenia, multiple sclerosis, and tumor growth. Strategies to measure, map, and visualize these brain changes are of immense value in basic and clinical neuroscience. Algorithms that map brain change with sufficient spatial and temporal sensitivity can also assess drugs that aim to decelerate or arrest these changes. In neuroscience studies, these tools can reveal subtle brain changes in adolescence and old age and link these changes with measurable differences in brain function and cognition. Early detection of brain change in patients at risk for dementia; tumor recurrence; or relapsing-remitting conditions, such as multiple sclerosis, is also vital for optimizing therapy. We review a variety of mathematical and computational approaches to detect structural brain change with unprecedented sensitivity, both spatially and temporally. The resulting four-dimensional (4-D) maps of brain anatomy are warehoused in population-based brain atlases. Here, statistical tools compare brain changes across subjects and across populations, adjusting for complex differences in brain structure. Brain changes in an individual can be compared with a normative database comprised of subjects matched for age, gender, and other demographic factors. These dynamic brain maps offer key biological markers for understanding disease progression and testing therapeutic response. The early detection of disease-related brain changes is also critical for possible pre-emptive intervention before the ravages of disease have set in.

Apolipoprotein E epsilon 4 affects new learning in cognitively normal individuals at risk for Alzheimer's disease

The Apolipoprotein E (APOE) epsilon 4 allele is an important risk factor for Alzheimer's disease (AD). Given the interest in early identification of at-risk individuals, we examined memory decline as a function of APOE status and age in cognitively intact participants aged 48-77 years old (yo). Participants were grouped by age (<60 versus > or =60) and APOE (epsilon4+/-). Longitudinal analysis of several components of memory over a 2-year interval showed a significant Age-by-APOE interaction reflecting a decline in new learning for the > or =60 epsilon4+ group only. Among epsilon4+, 76% of the > or =60 participants showed a decline versus 32% of the <60, but the amount of decline in new learning over the 2-year interval within the > or =60 group was not further influenced by age. That is, the size of the 2-year change was the same for 60 and 70 year old participants. This suggests that longitudinal study of new learning is a sensitive measure for detecting early cognitive changes in at-risk individuals that precede the symptomatic onset of mild cognitive impairment and AD.

Apolipoproteins E and C1 and brain morphology in memory impaired elders

Previous research has shown that polymorphisms of the apolipoproteins E ( APOE) and APOC1 represent genetic risk factors for dementia and for cognitive impairment in the elderly. The brain mechanisms by which these genetic variations affect behavior or clinical severity are poorly understood. We studied the effect of APOE and APOC1 genes on magnetic resonance imaging measures in a sample of 50 subjects with age-associated memory impairment. The APOE E4 allele was associated with reduced left hippocampal volumes and APOE*E3 status was associated with greater frontal lobe white matter volumes. However, no APOE effects were observed when analyses accounted for other potential confounding variables. The effects of APOC1 on hippocampal volumes appeared to be more robust than those of the APOE polymorphism. However, no modulatory effects on brain morphology outside the medial temporal lobe region were observed when demographic variables, clinical status, and other anatomical brain measurements were taken into consideration. Our results suggest that the role of the APOC1 polymorphism in brain morphology of the cognitively impaired elderly should be examined in further studies.

Dynamics of gray matter loss in Alzheimer's disease

We detected and mapped a dynamically spreading wave of gray matter loss in the brains of patients with Alzheimer's disease (AD). The loss pattern was visualized in four dimensions as it spread over time from temporal and limbic cortices into frontal and occipital brain regions, sparing sensorimotor cortices. The shifting deficits were asymmetric (left hemisphere > right hemisphere) and correlated with progressively declining cognitive status (p < 0.0006). Novel brain mapping methods allowed us to visualize dynamic patterns of atrophy in 52 high-resolution magnetic resonance image scans of 12 patients with AD (age 68.4 +/- 1.9 years) and 14 elderly matched controls (age 71.4 +/- 0.9 years) scanned longitudinally (two scans; interscan interval 2.1 +/- 0.4 years). A cortical pattern matching technique encoded changes in brain shape and tissue distribution across subjects and time. Cortical atrophy occurred in a well defined sequence as the disease progressed, mirroring the sequence of neurofibrillary tangle accumulation observed in cross sections at autopsy. Advancing deficits were visualized as dynamic maps that change over time. Frontal regions, spared early in the disease, showed pervasive deficits later (>15% loss). The maps distinguished different phases of AD and differentiated AD from normal aging. Local gray matter loss rates (5.3 +/- 2.3% per year in AD v 0.9 +/- 0.9% per year in controls) were faster in the left hemisphere (p < 0.029) than the right. Transient barriers to disease progression appeared at limbic/frontal boundaries. This degenerative sequence, observed in vivo as it developed, provides the first quantitative, dynamic visualization of cortical atrophic rates in normal elderly populations and in those with dementia.

Apolipoprotein E polymorphism and acute ischemic stroke: a diffusion- and perfusion-weighted magnetic resonance imaging study

Diffusion- and perfusion-weighted magnetic resonance imaging (MRI) was used to study the putative effects of apolipoprotein E (ApoE) polymorphism in stroke. Thirty-one patients with acute stroke, comparative for age and gender were scanned, nine of whom were ApoE allele epsilon 4 carriers. Initially, less than 24 hours from the onset of stroke, the epsilon 4 carriers had significantly smaller volumes of hypoperfusion on relative cerebral blood volume map (P = 0.001), and smaller infarct volumes (P = 0.008) compared with the noncarriers. By day 8, this difference in the infarct volumes had disappeared, suggesting relatively enhanced infarct growth. On average, the total infarct volume increased 145% of the initial infarct volume in the epsilon 4 carriers, and 84% in the noncarriers. There were strong correlations between the imaging findings and clinical status initially and with the outcome 3 months after the stroke in the epsilon 4 noncarriers, but, with a single exception at acute phase, a lack thereof in the epsilon 4 carriers. These patterns were virtually similar in a subgroup of patients with middle cerebral artery stroke. These data support the hypothesis of increased general vulnerability of the brain in the epsilon 4 carriers. Thus, the effects of ApoE polymorphism should be accounted for when interpreting diffusion- and perfusion-weighted MRI studies, particularly if predicting lesion growth.

Structural imaging in cognitive impairment and the dementias: an update

PURPOSE OF REVIEW

The purpose of this review is to explore and summarize recent advances in the structural imaging of cognitive impairment and the dementias. The focus is practical, covering issues that bear relevance to clinical practice or diagnosis. Findings in mild cognitive impairment, a state preceding but not necessarily leading to dementia, are discussed. Data from dementias other than Alzheimer's disease are reviewed at some length before outlining some novel issues in Alzheimer's disease imaging.

RECENT FINDINGS

A number of studies have proposed some medial temporal atrophy in mild cognitive impairment, and this may have some clinical value in predicting conversion to dementia. Data on other regions have also been proposed to predict conversion, but a number of studies on these regions have yielded entirely conflicting results. Data are also accumulating on the medial temporal lobe and other regions in non-Alzheimer's dementias.

SUMMARY

The medial temporal lobe is still the region of interest when studying mild cognitive impairment and Alzheimer's disease. Medial temporal atrophy, or lack thereof, may be of some diagnostic value even in non-Alzheimer's dementias. Medial temporal atrophy, however, is not an Alzheimer's disease-specific feature. One potential approach to improve the radiological diagnosis of dementia is mapping a number of regions in order to define patterns of atrophy. At present, however, the scarcity of existing data prevents unambiguous conclusions on this issue.

Dopamine DRD2 Taq I polymorphism associates with caudate nucleus volume and cognitive performance in memory impaired subjects

We studied the relationship among dopamine receptor D2 (DRD2) Taq I genetic polymorphism, caudate nucleus volumetry as measured using MRI and neuropsychological functions in 49 memory impaired older people. Compared with DRD2 A1 carriers, subjects homozygous for the DRD2 A2 allele performed poorer in a measure of general cognitive functioning (MMSE) and in long term verbal memory, and presented reduced left caudate nucleus volumes. Caudate nucleus atrophy correlated with cognitive measures influenced by the genetic polymorphism and with visual memory performance. Our findings suggest that among the aged with cognitive impairments, the homozygous status for the A2 allele of the DRD2 Taq I polymorphism is associated with diminished cognitive performance and increased atrophy in the striatum.

Apolipoproteins and aging: emerging mechanisms

One of the goals of modern medicine is to foster successful aging. In order to age successfully, one must accomplish two things: first, survive; and second, survive with good health and a sharp mind. In this discussion of apolipoproteins and aging, the focus will be on apolipoprotein E (apoE), a protein with three common isoforms, which has a large impact on longevity and successful aging. One variant of apoE (E4) is associated with increased risk for heart disease, stroke and Alzheimer's disease (AD). In addition, some of the potential mechanisms for the observed effects of apoE on aging will be discussed.

Hippocampal atrophy in persons with age-associated memory impairment: volumetry within a common space

OBJECTIVE

The objective of this study is to demonstrate the assessment of hippocampal atrophy within a standard brain atlas for persons with age-associated memory impairment (AAMI) compared with cognitively intact elderly.

METHODS

High-resolution three-dimensional (3D) brain magnetic resonance imaging (MRI) was performed on 20 nondemented persons: 10 had AAMI and 10 were normal elderly. Scans were aligned to a common atlas template to control for errors due to variable brain size and orientation as well as facilitating communication of results across centers. Manual outlining every 1 mm with volumes determined for both the hippocampal head and body was accomplished after coronal resampling perpendicular to the long axis of the hippocampus.

RESULTS

Subject groups were similar in age, sex ratios, and educational achievement. The AAMI group had significantly lower volumes for the right hippocampus and hippocampal head (p =.02) compared with controls.

CONCLUSION

A growing body of work suggests the right hippocampal head as an early site of atrophy in early memory impairment. Subtle atrophic changes are detectable within a common atlas template allowing imaging assessment across centers.

Mapping genetic influences on human brain structure

Recent advances in brain imaging and genetics have empowered the mapping of genetic and environmental influences on the human brain. These techniques shed light on the 'nature/nurture' debate, revealing how genes determine individual differences in intelligence quotient (IQ) or risk for disease. They visualize which aspects of brain structure and function are heritable, and to what degree, linking these features with behavioral or cognitive traits or disease phenotypes. In genetically transmitted disorders such as schizophrenia, patterns of brain structure can be associated with increased disease liability, and sites can be mapped where non-genetic triggers may initiate disease. We recently developed a large-scale computational brain atlas, including data components from the Finnish Twin registry, to store information on individual variations in brain structure and their heritability. Algorithms from random field theory, anatomical modeling, and population genetics were combined to detect a genetic continuum in which brain structure is heavily genetically determined in some areas but not others. These algorithmic advances motivate studies of disease in which the normative atlas acts as a quantitative reference for the heritability of structural differences and deficits in patient populations. The resulting genetic brain maps isolate biological markers for inherited traits and disease susceptibility, which may serve as targets for genetic linkage and association studies. Computational methods from brain imaging and genetics can be fruitfully merged, to shed light on the inheritance of personality differences and behavioral traits, and the genetic transmission of diseases that affect the human brain.

MRI and genetic correlates of cognitive function in elders with memory impairment

The present study investigated the relationship between genetic variation, MRI measurements and neuropsychological function in a sample of 58 elders exhibiting memory decline. In agreement with previous reports, we found that the epsilon4 allele of the apolipoprotein E (APOE) and the D allele of the angiotensin converting enzyme (ACE) polymorphisms negatively modulated the cognitive performance. Further, we found an association between the A allele of the apolipoprotein C1 (APOC1) polymorphism and poorer memory and frontal lobe function. No clear associations emerged between MRI measures of white matter lesions (WML) or hippocampal sulcal cavities (HSC) and the cognitive performance after controlling for age effects. Further, the degree of WML or HSC lesions was in general not predisposed genetically except for the presence of the A allele of the APOC1 polymorphism that was related to a higher severity of HSC scores. Our results suggest that WML or HSC do not represent important brain correlates of genetic influences on cognitive performance in memory impaired subjects.

Neuroimaging in Alzheimer's disease: relevance for treatment

Neuroimaging methodologies have shown some of their greatest promise in studies of Alzheimer's disease (AD). Imaging outcome measures are now entering the arena of investigational trials for AD, to elucidate treatment mechanisms, optimize drug dosing, and perhaps serve as surrogate efficacy measures. Drugs that enhance central cholinergic neurotransmission have been extensively examined for their effects on regional cerebral blood flow, regional cerebral glucose metabolism, or levels of N-acetyl-aspartate in AD patients. Putative disease-modifying agents will be studied by structural magnetic resonance imaging for their ability to reduce rates of hippocampal or whole brain atrophy. When anti-amyloid therapies reach widespread clinical testing, their effects may be monitored by specific imaging probes for amyloid-beta peptide-containing senile plaques. Neuroimaging studies of AD patients and asymptomatic subjects who carry the apolipoprotein E e4 allele suggest that these individuals may be particularly suitable for testing candidate prevention therapies for AD.

Magnetic resonance imaging and magnetic resonance spectroscopy in dementias

This article reviews recent studies of magnetic resonance imaging and magnetic resonance spectroscopy in dementia, including Alzheimer's disease, frontotemporal dementia, dementia with Lewy bodies, idiopathic Parkinson's disease, Huntington's disease, and vascular dementia. Magnetic resonance imaging and magnetic resonance spectroscopy can detect structural alteration and biochemical abnormalities in the brain of demented subjects and may help in the differential diagnosis and early detection of affected individuals, monitoring disease progression, and evaluation of therapeutic effect.