M. M. Moore

Volume loss of the hippocampus and temporal lobe in healthy elderly persons destined to develop dementia

Objective To determine initial locus and rate of degeneration of temporal lobe structures (total lobe, hippocampus and parahippocampus) in preclinical dementia. Background Postmortem studies suggest that the earliest changes in Alzheimers disease are neurofibrillary tangle formation in hippocampus and adjacent cortex. MRI volume analysis of temporal lobe structures over time in subjects prior to developing dementia may allow the identification of when these processes begin, the rate they develop, and which areas are key to symptom development. Methods 30 nondemented (NOD), healthy, elderly individuals enrolled in a prospective study of healthy aging evaluated annually over a mean of 42 months. Twelve subjects with subsequent cognitive decline were assigned to the preclinical dementia group (PreD). All 120 annual MRI studies analyzed by volumetric techniques assessed group differences in temporal lobe volumes and rates of brain loss. Results NOD as well as PreD subjects had significant, time-dependent decreases in hippocampal and parahippocampal volume. Rates of volume loss between the groups did not significantly differ. PreD cases had significantly smaller hippocampi when asymptomatic. Parahippocampal volume did not differ between PreD and NOD cases. Significant time-dependent temporal lobe atrophy was present only in PreD. Conclusions Hippocampal and parahippocampal atrophy occurs at a similar rate regardless of diagnostic group. Those who develop dementia may have smaller hippocampi to begin with, but become symptomatic because of accelerated loss of temporal lobe volume. Temporal lobe volume loss may mark the beginning of the disease process within six years prior to dementia onset.

Parkinson's disease is associated with hippocampal atrophy

Patients with Parkinsons disease (PD) may have hippocampal atrophy compared with controls. We compared hippocampal, and extra‐hippocampal volumes between PD, PDD (patients with PD who have mild cognitive impairment or dementia), Alzheimers disease (AD) and controls using volumetric magnetic resonance imaging (MRI). Participants (10 patients with PD, 10 with PDD, 11 with AD, and 12 control subjects) had an informant interview, neurological examination, and psychometric testing. Established, reliable methods were used to measure the hippocampus, parahippocampal gyrus, temporal, frontal, and parieto‐occipital lobes. Correction for intracranial volume was carried out before comparison. There was no age difference between groups (mean age, 74 years). On the Clinical Dementia Rating scale (CDR) cognitive impairment was mild (CDR = 0.5) in the majority of PDD and AD patients. Hippocampal (P < 0.0004) volumes were smaller in the patient groups. Effect sizes compared with the control group were: PD, 0.66; PDD, 1.22; and AD, 1.81. The other volumes did not differ significantly. Among PD and PDD patients, recognition memory (r = 0.54, P = 0.015) and Mini‐Mental State Examination scores (r = 0.56, P = 0.01) correlated with left, but not right hippocampal volume. In conclusion, hippocampal volume showed a pattern (Control > PD > PDD > AD) suggesting progressive hippocampal volume loss in PD. Volumetric MRI imaging might provide an early marker for dementia in PD.

Changes in premorbid brain volume predict Alzheimer’s disease pathology

Objective: To assess whether changes in antemortem MRI brain volume measurements are valid predictors of subsequent Alzheimer disease (AD) pathology. Methods: Thirty-nine subjects, 15 nondemented and 24 with cognitive impairment, were followed until death. Regional postmortem measures of senile plaque (SP) and neurofibrillary tangle (NFT) severity were examined in relationship to cross-sectional and longitudinal volumetric measurements obtained from antemortem MRI. Results: Total brain volume change over time was related to the accumulation of cortical NFT. The rate of ventricular CSF volume increase was related to both cortical NFT and SP. The last hippocampal volume prior to death was related to hippocampal NFT burden; the rate of hippocampal volume atrophy was not related to hippocampal NFT pathology. These significant relationships continue to exist when all nondemented subjects are excluded from analysis. In subjects with cognitive impairment, the best predictor of cortical NFT and SP is the rate of ventricular volume increase. Excluding subjects with long duration between MRI and death did not appreciably alter results. Conclusions: MRI volumes measured over time are valid biomarkers of pathologic progression of AD across a range of antemortem clinical states. The rate of ventricular volume enlargement can be used to monitor disease progression or response to treatment in future clinical trials that are targeted at NFT and SP pathology.

Blood–brain barrier impairment in Alzheimer disease Stability and functional significance

Objective: To determine the stability and functional significance of blood–brain barrier (BBB) integrity in patients with mild to moderate Alzheimer disease (AD). Methods: Thirty-six patients (mean age 71 ± 7 years) with mild to moderate AD (Mini-Mental State Examination [MMSE] 19 ± 5) participated in a biomarker study involving clinical assessments, brain imaging, and CSF and plasma collection over 1 year. BBB integrity was assessed with the CSF–albumin index (CSF-AI). Results: BBB disruption was present in an important subgroup of patients (n = 8/36, 22%) at all time points measured. CSF-AI was highly reproducible over 1 year with an intraclass correlation of 0.96. Age, sex, and APOE status did not correlate with CSF-AI. Vascular factors (blood pressure, Hachinski ischemia score, MR-derived white matter hyperintensity, body mass index) were not strongly associated with CSF-AI levels (p = 0.066). CSF/plasma IgG ratio correlated with CSF-AI in a manner indicating that peripheral IgG has greater access to the CNS in patients with an impaired BBB. Further evidence for the physiologic significance of the CSF-AI was noted in the form of correlations with rates of disease progression, including annual change on MMSE (r2 = 0.11, p = 0.023), annual Clinical Dementia Rating sum-of-boxes change (r2 = 0.29, p = 0.001), and annual ventricular volume change (r2 = 0.17, p = 0.007). Conclusions: Blood–brain barrier (BBB) impairment is a stable characteristic over 1 year and 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. A role for BBB impairment as a modifier of disease progression is suggested by correlations between CSF–albumin index and measures of disease progression over 1 year.

Impact of white matter hyperintensity volume progression on rate of cognitive and motor decline.

Background: White matter hyperintensity (WMH) change on brain MRI is observed with increased frequency in the elderly and has been independently associated with neurologic decline. The degree to which the location and rate of volume increase in WMH affects other structural brain changes along with cognitive and motor performance over time may determine subsequent degrees of risk for dementia and other syndromes of aging. Methods: One hundred four cognitively intact men and women followed longitudinally for up to 13 years underwent at least three MRIs with corresponding annual cognitive and neurologic assessments. Brain volume, ventricular CSF (vCSF), and total periventricular (PV) and subcortical WMH volumes were measured. Progression of MRI volumes was examined in relation to rates of cognitive, motor, and cerebral volume change based on slopes of outcomes. Results: Higher initial total and PV WMH volume was associated with total WMH, PV WMH, and vCSF progression, and with increased time and number of steps to walk 30 feet. Progression of PV WMH volume was associated with increased time to walk 30 feet. Progression of subcortical WMH volume was associated with decreased performance on logical memory testing and increased rate of vCSF volume change. Conclusion: Increased total and periventricular (PV) white matter hyperintensity (WMH) burden and progression of PV WMH burden are associated with decreased gait performance over time, while progression of subcortical WMH volume is associated with memory decline in cognitively intact elderly. Greater progression of WMH burden is associated with an increased risk of memory and gait dysfunction, and thus should not be considered a benign process.

Brain volume preserved in healthy elderly through the eleventh decade

Objective: To determine which brain regions lose volume with aging over time in healthy, nondemented elderly. Background: Cross-sectional studies suggest widespread loss of brain volume with aging. These studies may be biased by significant numbers of preclinically demented elderly in the oldest comparison groups. Longitudinal studies may allow closer determination of the effect of aging unaffected by dementia. Methods: Quantitative volumetric MRI was performed annually on 46 healthy subjects older than age 65 who had maintained cognitive health a mean of 5 years. Comparisons (analysis of variance) were made of rates of volume loss (slopes) divided into 11 young-old (mean age, 70 years), 15 middle-old (mean age, 81 years), and 20 oldest-old (mean age, 87 years) subjects. Regions of interest included CSF spaces, lobar regions, and limbic-subcortical regions. Results: There were significant differences between groups in intracranial, total brain, left hemisphere, right hemisphere, temporal lobe, basilar-subcortical region, and hippocampus volumes, with oldest-old subjects showing the smallest volumes, followed by middle-old and young-old subjects. Oldest-old subjects had significantly greater subarachnoid volumes than the younger groups. There were no significant differences in rates of change of regions of interest across age groups. Conclusions: After age 65 there is minimal brain volume loss observed over time in healthy elderly. Brain volume differences seen cross-sectionally, at any age, likely reflect small, constant rates of volume loss with healthy aging. Healthy oldest-old subjects do not show greater rates of brain loss compared with younger elderly, suggesting that large changes seen in cross-sectional studies reflect the presence of preclinical dementia in older groups.

Trajectories of brain loss in aging and the development of cognitive impairment

Background: The use of volumetric MRI as a biomarker for assessing transitions to dementia presumes that more rapid brain loss marks the clinical transition from benign aging to mild cognitive impairment (MCI). The trajectory of this volume loss relative to the timing of the clinical transition to dementia has not been established. Methods: The authors annually evaluated 79 healthy elderly subjects for up to 15 consecutive years with standardized clinical examinations and volumetric brain MRI assessments of ventricular volume. During the study period, 37 subjects developed MCI. A mixed effects model with a change point modeled the pattern of brain volume loss in healthy aging compared with subjects diagnosed with MCI. Results: The brain loss trajectory of subjects developing MCI during follow-up differed from healthy aging in a two-phase process. First, the annual rate of expansion of ventricular volume decreased with age; however, the annual rates of expansion were greater in those who developed cognitive impairment during follow-up compared with those who did not. Further, subjects who developed MCI had an acceleration of ventricular volume expansion approximately 2.3 years prior to clinical diagnosis of MCI. Conclusions: Ventricular expansion is faster in those developing mild cognitive impairment years prior to clinical symptoms, and eventually a more rapid expansion occurs approximately 24 months prior to the emergence of clinical symptoms. These differential rates of preclinical atrophy suggest that there are specific windows for optimal timing of introduction of dementia prevention therapies in the future. GLOSSARY: AD = Alzheimer disease; BMI = body mass index; CDR = Clinical Dementia Rating Scale; MCI = mild cognitive impairment; MMSE = Mini-Mental State Examination.

Trajectory of mild cognitive impairment onset

The objective was to identify the trajectories of onset of memory and other cognitive loss in persons destined to develop mild cognitive impairment (MCI) or dementia. Healthy, community dwelling, cognitively intact elders (n = 156, mean age at entry = 83 years) were examined annually for an average of greater than 7 years. Those who developed at least two consecutive Clinical Dementia Ratings >or= 0.5 were classified as having MCI. Longitudinal mixed effects models with a change point were used to model the aging process in those with and without an MCI diagnosis during follow-up and to model the rate of change relative to the age of onset of MCI. MCI had a preclinical stage of accelerated cognitive loss that was observed 3 to 4 years before the diagnosis of MCI on tests of verbal memory, animal fluency, and visuospatial constructions. Evidence from memory performance before the change point suggests that a slow decline in memory precedes the period of accelerated decline in the development of MCI. Aging transitions leading to MCI and dementia are characterized by unique linear and nonlinear cognitive changes in several domains that precede the diagnosis of MCI and dementia by at least several years.

Age-related brain changes associated with motor function in healthy older people.

OBJECTIVE: To identify the MRI imaging findings associated with motor changes in healthy older people.

Natural history of cognitive decline in the old old

Objective: To prospectively examine the occurrence and outcome of cognitive decline in healthy, community-dwelling elders. Methods: Ninety-five elders (mean age 84 years) who at entry had no cognitive impairment were followed for up to 13 years. Cognitive decline was defined as obtaining either a Clinical Dementia Rating (CDR) = 0.5 or Mini-Mental State Examination (MMSE) score < 24 on two examinations. Results: Three outcomes of aging were determined: intact cognition, persistent cognitive decline without progression to dementia, and dementia. Whereas 49% remained cognitively intact, 51% developed cognitive decline. Mean follow-up to first CDR 0.5 was 3.8 years and age at conversion was 90.0 years. Those who remained cognitively intact had better memory at entry and were less likely to have APOE4 than those who developed cognitive decline. Of the 48 participants with cognitive decline, 27 (56%) developed dementia (CDR ≥1) a mean of 2.8 years later. Participants with cognitive decline who progressed to dementia had poorer confrontation naming at the time of their first CDR 0.5 than those with persistent cognitive decline who did not progress during follow-up. Conclusion: The old old are at high risk for developing cognitive decline but many will not progress to dementia in the next 2 to 3 years or even beyond. These findings are important for understanding the prognosis of cognitive decline and for the design of treatment trials for AD. APOE genotype is a risk factor for cognitive decline.