Leyla deToledo-Morrell

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

With high resolution, quantitative magnetic resonance imaging (MRI) techniques, it is now possible to examine alterations in brain anatomy in vivo and to identify regions affected in the earliest stages of Alzheimers disease (AD). In this study, we compared MRI-derived entorhinal and hippocampal volume in healthy elderly controls, patients who presented at the clinic with cognitive complaints, but did not meet criteria for dementia (non-demented), and patients with very mild AD. The two patient groups differed significantly from controls in entorhinal volume, but not from each other; in contrast, they differed from each other, as well as from controls, in hippocampal volume, with the mild AD cases showing the greatest atrophy. Follow-up clinical evaluations available on 23/28 non-demented patients indicated that 12/23 had converted to AD within 12-77 months from the baseline MRI examination. Converters could be best differentiated from non-converters on the basis of entorhinal, but not hippocampal volume. These data suggest that although both the EC and hippocampal formation degenerate before the onset of overt dementia, EC volume is a better predictor of conversion.

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

Diffusion tensor imaging (DTI) can detect, in vivo, the directionality of molecular diffusion and estimate the microstructural integrity of white matter (WM) tracts. In this study, we examined WM changes in patients with Alzheimers disease (AD) and in subjects with amnestic mild cognitive impairment (MCI) who are at greater risk for developing AD. A DTI index of WM integrity, fractional anisotropy (FA), was calculated in 14 patients with probable mild AD, 14 participants with MCI and 21 elderly healthy controls (NC). Voxel-by-voxel comparisons showed significant regional reductions of FA in participants with MCI and AD compared to controls in multiple posterior white matter regions. Moreover, there was substantial overlap of locations of regional decrease in FA in the MCI and AD groups. These data demonstrate that white matter changes occur in MCI, prior to the development of dementia.

MRI-derived entorhinal volume is a good predictor of conversion from MCI to AD.

With high-resolution quantitative magnetic resonance imaging (MRI) techniques, it is possible to examine alterations in brain anatomy in vivo and to identify regions affected in the earliest stages of Alzheimers disease (AD). In the present study, 27 patients diagnosed with mild cognitive impairment (MCI) received a high-resolution MRI scan at baseline and were followed with yearly clinical evaluations. Ten of the 27 patients converted to AD during a 36-month period following the baseline clinical evaluation. Hippocampal and entorhinal cortex volumes derived from the baseline scan were compared to determine which of these two regions, known to be pathologically involved very early in the course of AD, could best differentiate MCI converters from non-converters. Although both entorhinal and hippocampal volumes were found to be independent predictors of the likelihood of conversion to AD, it was the right hemisphere entorhinal volume that best predicted conversion with a concordance rate of 93.5%.

MRI predictors of risk of incident Alzheimer disease: A longitudinal study

Objective: To determine if baseline entorhinal and hippocampal volumes and their rate of atrophy could predict the risk of incident Alzheimer disease (AD). Methods: The authors used proportional odds models to assess the relationship between entorhinal and hippocampal size and risk of incident AD among 58 nondemented elderly people. All participants were followed with annual clinical evaluations and structural MRI scans for up to 5 years (baseline and 5 years of follow-up). At baseline, 23 of 58 participants received a diagnosis of amnestic mild cognitive impairment (MCI) and 35 of 58 were healthy control subjects with no cognitive impairment. Structural MRI scans were acquired with a T1-weighted three-dimensional spoiled gradient-recalled echo pulse sequence in a 1.5 T scanner. Entorhinal and hippocampal volumes were derived from 1.6-mm gapless coronal images reformatted to be perpendicular to the long axis of the hippocampus and were normalized by dividing with intracranial volume. Results: Fourteen of 58 nondemented participants developed AD during the follow-up period. Initial diagnosis of MCI was a significant predictor of incident AD. In addition, both baseline entorhinal volume and its slope of decline were independent predictors of incident AD, but initial hippocampal size and its rate of decline were not, after controlling for entorhinal volume. Conclusion: In nondemented individuals, entorhinal cortex atrophy is associated with risk of Alzheimer disease.

Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults

Objective: Since Alzheimer disease (AD) neuropathology is thought to develop years before dementia, it may be possible to detect subtle AD-related atrophy in preclinical AD. Here we hypothesized that the “disease signature” of AD-related cortical thinning, previously identified in patients with mild AD dementia, would be useful as a biomarker to detect anatomic abnormalities consistent with AD in cognitively normal (CN) adults who develop AD dementia after longitudinal follow-up. Methods: We studied 2 independent samples of adults who were CN when scanned. In sample 1, 8 individuals developing AD dementia (CN-AD converters) after an average of 11.1 years were compared to 25 individuals who remained CN (CN-stable). In sample 2, 7 CN-AD converters (average follow-up 7.1 years) were compared to 25 CN-stable individuals. Results: AD-signature cortical thinning in CN-AD converters in both samples was remarkably similar, about 0.2 mm (p < 0.05). Despite this small absolute difference, Cohen d effect sizes for these differences were very large (>1). Of the 11 CN individuals with baseline low AD-signature thickness (≥1 SD below cohort mean), 55% developed AD dementia over nearly the next decade, while none of the 9 high AD-signature thickness individuals (≥1 SD above mean) developed dementia. This marker predicted time to diagnosis of dementia (hazard ratio = 3.4, p < 0.0005); 1 SD of thinning increased dementia risk by 3.4. Conclusions: By focusing on cortical regions known to be affected in AD dementia, subtle but reliable atrophy is identifiable in asymptomatic individuals nearly a decade before dementia, making this measure a potentially important imaging biomarker of early neurodegeneration.

Mild cognitive impairment: pathology and mechanisms

Mild cognitive impairment (MCI) is rapidly becoming one of the most common clinical manifestations affecting the elderly. The pathologic and molecular substrate of people diagnosed with MCI is not well established. Since MCI is a human specific disorder and neither the clinical nor the neuropathological course appears to follow a direct linear path, it is imperative to characterize neuropathology changes in the brains of people who came to autopsy with a well-characterized clinical diagnosis of MCI. Herein, we discuss findings derived from clinical pathologic studies of autopsy cases who died with a clinical diagnosis of MCI. The heterogeneity of clinical MCI imparts significant challenges to any review of this subject. The pathologic substrate of MCI is equally complex and must take into account not only conventional plaque and tangle pathology but also a wide range of cellular, biochemical and molecular deficits, many of which relate to cognitive decline as well as compensatory responses to the progressive disease process. The multifaceted nature of the neuronal disconnection syndrome associated with MCI suggests that there is no single event which precipitates this prodromal stage of AD. In fact, it can be argued that neuronal degeneration initiated at different levels of the central nervous system drives cognitive decline as a final common pathway at this stage of the dementing disease process.

The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity

An international Delphi panel has defined a harmonized protocol (HarP) for the manual segmentation of the hippocampus on MR. The aim of this study is to study the concurrent validity of the HarP toward local protocols, and its major sources of variance.

Alzheimer’s Disease: In Vivo Detection of Differential Vulnerability of Brain Regions

The severe cognitive impairment during the later stages of Alzheimers disease is usually preceded by a selective disturbance in the ability to remember new experiences. With quantitative, high-resolution magnetic resonance imaging techniques, it is now possible to determine, in vivo, differences in the pattern of anatomical changes that might reflect behavioral symptomatology during different stages of the disease. In the present investigation, magnetic resonance imaging examinations were carried out in aged controls and in clinically diagnosed Alzheimers disease patients who were divided into three groups based upon dementia severity. Atrophy of the hippocampal formation, a region important for memory function, was observed even in Alzheimers disease patients with the mildest dementia. With more prominent dementia, atrophy extended to the parahippocampal gyrus and the temporal neocortex.

Gray Matter Atrophy in Patients With Ischemic Stroke With Cognitive Impairment

Background and Purpose— Patients with ischemic stroke are at risk for developing vascular cognitive impairment ranging from mild impairments to dementia. MRI findings of infarction, white matter hyperintensities, and global cerebral atrophy have been implicated in the development of vascular cognitive impairment. The present study investigated regional gray matter volume differences between patients with ischemic stroke with no cognitive impairment and those with impairment in at least one domain of cognitive function. Methods— Ninety-one patients with ischemic stroke participated. Detailed neuropsychological testing was used to characterize cognitive functioning in 7 domains: orientation, attention, working memory, language, visuospatial ability, psychomotor speed, and memory. High-resolution T1-weighted 3-dimensional fast-spoiled gradient recalled structural MRIs were processed using optimized voxel-based morphometry techniques while controlling for lesions. Whole brain voxelwise regional differences in gray matter volume were assessed between patients with stroke with no impaired cognitive domains and patients with stroke with at least one impaired cognitive domain. Logistic regression models were used to assess the contribution of demographic variables, stroke-related variables, and voxel-based morphometry results to classification of cognitive impairment group membership. Results— Fifty-one patients had no impairments in any cognitive domain and 40 patients were impaired in at least one cognitive domain. Logistic regression identified significant contributions to cognitive impairment groups for demographic variables, stroke-related variables, and cognitive domain performance. Voxel-based morphology results demonstrated significant gray matter volume reductions in patients with stroke with one or more cognitive domain impairment compared with patients with stroke without cognitive impairment that was seen mostly in the thalamus with smaller reductions found in the cingulate gyrus and frontal, temporal, parietal, and occipital lobes. These reductions were present after controlling for group differences in age, education, stroke volume, and laterality of stroke. The addition of voxel-based morphometry-derived thalamic volume significantly improved a logistic regression model predicting cognitive impairment group membership when added to demographic variables, stroke-related variables, and cognitive domain performance. Conclusions— These results suggest a central role for the thalamus and lesser roles for other cortical regions in the development of cognitive impairment after ischemic stroke. Indeed, consideration of thalamic volumes adds significant information to the classification of cognitive impaired versus nonimpaired groups beyond information provided by demographic, stroke-related, and cognitive performance measures.

The pattern of neuropsychological deficits in Vascular Cognitive Impairment-No Dementia (Vascular CIND).

We examined the pattern of neuropsychological deficits in Vascular Cognitive Impairment-No Dementia (Vascular CIND) by comparing the cognitive and behavioral performance of 41 post-stroke Vascular CIND patients to that of 62 post-stroke patients with no cognitive impairment (NCI). Neuropsychological test scores were grouped into seven cognitive and four behavioral domains, then converted to standardized, weighted principle component scores (PCS) for each domain. Multivariate logistic regression models built on cognitive domains found the immediate recall and psychomotor domains to best predict diagnostic group membership. In a separate model limited to behavioral data, the depressed mood domain best predicted group membership. The combination of immediate memory deficits, psychomotor slowness and depression have also been found in Vascular Dementia (VaD), suggesting that the pattern of deficits in Vascular CIND and VaD neuropsychological deficits are similar. This cognitive and behavioral pattern similarity supports the hypothesis that Vascular CIND lies on a continuum between NCI and VaD.