Rate Of Atrophy In Patients Research Articles

Brain atrophy rates in patients with multiple sclerosis on long term natalizumab resembles healthy controls

BackgroundClinically stable multiple sclerosis (MS) patients often have negligible inflammatory MRI changes. Brain atrophy may provide insight into subclinical disease progression. The objective was to compare brain atrophy rates in stable patients on long term natalizumab treatment vs. age and gender matched healthy non-MS controls (HC) prospectively over two-years examining brain volume, cognition, and patient reported outcomes (PROs). MethodsMS patients treated with natalizumab for a minimum of 2 years, age 18-60 were recruited and compared with age- and gender-matched healthy controls (HC). Both groups were followed prospectively to obtain two years of consecutive magnetic resonance imaging, clinical and PRO data. Baseline normalized brain volume (NBV), yearly T2 lesion volume (T2LV), and percent brain volume change (PBVC) were measured using SIENAX, JIM 6.0, and SIENA respectively. Neuropsychological tests from the MACFIMS battery were selected to optimize assessments for impairments in the domains of information processing speed and memory. Patient reported outcomes (PROs) for domains of physical, mental and social quality of life were evaluated using the NeuroQol short forms. ResultsForty-eight natalizumab and 62 HC completed all study visits. At baseline, unadjusted mean NBV (natalizumab=1508.80cm (Popescu et al., 2013) vs. HC=1539.23cm (Popescu et al., 2013); p=0.033) and median baseline T2LV (natalizumab=1724.62mm (Popescu et al., 2013) vs. HC=44.20mm (Popescu et al., 2013); p=<0.0001) were different. The mean PBVC at year 2, adjusted for gender and baseline age was -0.57% (CI: 0.7620, -0.3716) for natalizumab and -0.50% (-0.7208, -0.2831) for HC, but the difference between groups was not statistically significant (0.073%; p=0.62). Over the 2-year period, HC demonstrated mild improvements in some cognitive tests vs. natalizumab subjects. However, PROs were similar between the two groups. ConclusionStable MS patients on natalizumab have similar brain volume loss as people who do not have MS, suggesting normalization of brain atrophy.

Effect Modifiers of TDP-43-Associated Hippocampal Atrophy Rates in Patients with Alzheimer's Disease Neuropathological Changes.

Transactive response DNA-binding protein of 43 kDa (TDP-43) is associated with hippocampal atrophy in Alzheimer's disease (AD), but whether the association is modified by other factors is unknown. To evaluate whether the associations between TDP-43 and hippocampal volume and atrophy rate are affected by age, gender, apolipoprotein E (APOE) ɛ4, Lewy bodies (LBs), amyloid-β (Aβ), or Braak neurofibrillary tangle (NFT) stage. In this longitudinal neuroimaging-clinicopathological study of 468 cases with AD neuropathological changes (Aβ-positive) that had completed antemortem head MRI, we investigated how age, gender, APOEɛ4, presence of LBs, Aβ, TDP-43, and Braak NFT stages are associated with hippocampal volumes and rates of atrophy over time. We included field strength in the models since our cohort included 1.5T and 3T scans. We then determined whether the associations between hippocampal atrophy and TDP-43 are modified by these factors using mixed effects models. Older age, female gender, APOEɛ4, higher field strength, higher TDP-43, and Braak NFT stages were associated with smaller hippocampi. Rate of atrophy was greater with higher TDP-43 and Braak NFT stage, but lower in older patients. The association of TDP-43 with greater rate of atrophy was enhanced in APOEɛ4 carriers (p = 0.04). Neurodegenerative effects of TDP-43 seem to be independent of most factors except perhaps APOE in cases with AD neuropathological changes. TDP-43 and tau appear to behave independently of one another.

Increase in brain atrophy after subdural hematoma to rates greater than associated with dementia.

OBJECTIVEChronic subdural hematoma (cSDH) is a highly morbid condition associated with brain atrophy in the elderly. It has a reported 30% 1-year mortality rate. Approximately half of afflicted individuals report either no or relatively unremarkable trauma preceding their diagnosis, raising the possibility that cSDH is a manifestation of degenerative or inflammatory disease rather than trauma. The purpose of this study was to compare the rates of cerebral atrophy before and after cSDH to determine whether it is more likely that cSDH causes atrophy or that atrophy causes cSDH. The authors also compared atrophy rates in patients with cSDH to the rates in patients with and without dementia.METHODSThe authors developed algorithmic segmentation analysis software to measure whole-brain, CSF, and intracranial space volumes. They then identified military veterans who had undergone at least 4 brain CT scans over a period of 10 years. Within this database, the authors identified 146 patients with 962 head CT scans who had received diagnoses of either cSDH, dementia, or no known dementia condition. Volumetric analyses of brains in 45 patients with dementia (dementia group) and 73 patients without dementia (nondementia group), in whom 262 and 519 head CT scans were obtained, respectively, were compared with 11 patients in whom 81 CT scans were obtained a mean of 4.21 years before a cSDH diagnosis and 17 patients in whom 100 scans were obtained a mean of 4.24 years after SDH. Longitudinal measures were then related to disease status and the time since first scan by using hierarchical models, and atrophy rates between the groups were compared.RESULTSHead CT scans from patients were obtained for an average time period of 4.21 years (SD 1.69) starting at a mean patient age of 74 years. Absolute brain volume loss for the 17 patients in the post-SDH group (13 were treated surgically) was significantly greater, at 16.32 ml/year, compared with 6.61 ml/year in patients with dementia, 5.33 ml/year in patients without dementia, and 3.57 ml/year in pre-SDH patients. The atrophy rate for these individuals prior to enrollment in the study was 2.32 ml/year (p = 0.001). In terms of brain volume normalized to cranial cavity size, the post-SDH group had an atrophy rate of 0.7801%/year, compared with 0.4467%/year in patients with dementia, 0.3474%/year in patients without dementia, and 0.2135%/year in the pre-SDH group.CONCLUSIONSPrior to development of a cSDH, the atrophy rates in patients who ultimately develop cSDH are similar to those of patients without dementia. After development of a cSDH, the atrophy rates increase to more than twice those of patients with dementia. Chronic subdural hematoma is thus associated with a significant increase in brain atrophy rate. These findings suggest the neurotoxic consequences of cSDH and may have implications for better understanding of the pathophysiology of cerebral atrophy and dementia.

Default Mode Network Integrity and Brain Atrophy Rates in Patients with Alzheimer's Disease and Mild Cognitive Impairment: The Role of Catechol-o-Methyltransferase Val158Met Variant (P4.013)

Default Mode Network Integrity and Brain Atrophy Rates in Patients with Alzheimer's Disease and Mild Cognitive Impairment: The Role of Catechol-o-Methyltransferase Val158Met Variant (P4.013)

Evaluating Alzheimer’s Disease Progression Using Rate of Regional Hippocampal Atrophy

Alzheimer’s disease (AD) is characterized by neurofibrillary tangle and neuropil thread deposition, which ultimately results in neuronal loss. A large number of magnetic resonance imaging studies have reported a smaller hippocampus in AD patients as compared to healthy elderlies. Even though this difference is often interpreted as atrophy, it is only an indirect measurement. A more direct way of measuring the atrophy is to use repeated MRIs within the same individual. Even though several groups have used this appropriate approach, the pattern of hippocampal atrophy still remains unclear and difficult to relate to underlying pathophysiology. Here, in this longitudinal study, we aimed to map hippocampal atrophy rates in patients with AD, mild cognitive impairment (MCI) and elderly controls. Data consisted of two MRI scans for each subject. The symmetric deformation field between the first and the second MRI was computed and mapped onto the three-dimensional hippocampal surface. The pattern of atrophy rate was similar in all three groups, but the rate was significantly higher in patients with AD than in control subjects. We also found higher atrophy rates in progressive MCI patients as compared to stable MCI, particularly in the antero-lateral portion of the right hippocampus. Importantly, the regions showing the highest atrophy rate correspond to those that were described to have the highest burden of tau deposition. Our results show that local hippocampal atrophy rate is a reliable biomarker of disease stage and progression and could also be considered as a method to objectively evaluate treatment effects.

Mutant huntingtin fragmentation in immune cells tracks Huntington’s disease progression

Huntington's disease (HD) is a fatal, inherited neurodegenerative disorder caused by an expanded CAG repeat in the gene encoding huntingtin (HTT). Therapeutic approaches to lower mutant HTT (mHTT) levels are expected to proceed to human trials, but noninvasive quantification of mHTT is not currently possible. The importance of the peripheral immune system in neurodegenerative disease is becoming increasingly recognized. Peripheral immune cells have been implicated in HD pathogenesis, but HTT levels in these cells have not been quantified before. A recently described time-resolved Förster resonance energy transfer (TR-FRET) immunoassay was used to quantify mutant and total HTT protein levels in leukocytes from patients with HD. Mean mHTT levels in monocytes, T cells, and B cells differed significantly between patients with HD and controls and between pre-manifest mutation carriers and those with clinical onset. Monocyte and T cell mHTT levels were significantly associated with disease burden scores and caudate atrophy rates in patients with HD. mHTT N-terminal fragments detected in HD PBMCs may explain the progressive increase in mHTT levels in these cells. These findings indicate that quantification of mHTT in peripheral immune cells by TR-FRET holds significant promise as a noninvasive disease biomarker.

Automated 3D MRI volumetry reveals regional atrophy differences in Rasmussen encephalitis

Rasmussen encephalitis is a chronic immune-mediated disease leading to unilateral atrophy on magnetic resonance imaging (MRI) and progressive neurologic deficits. Until now, quantitative parameters describing the course of the disease on MRI require manual intervention and are, therefore, time-consuming and observer-dependent. Furthermore, regional atrophy differences cannot be evaluated with the previously published methods. In this study we present a fully automated volumetric approach applied to serial MRI scans of 12 patients with Rasmussen encephalitis. We retrospectively analyzed 12 patients with Rasmussen encephalitis with a disease onset between 2001 and 2008. All patients underwent a total of 66 serial MRI scans including a three-dimensional T(1) data set. The volumetric analysis was based on standard procedures of the freely available software FMRIB Software Library (FSL) and required about 45 min per scan. Furthermore, planimetric analyses were performed on 51 scans as described previously. The relative and absolute volume loss of the affected hemisphere was significantly higher compared to the unaffected hemisphere. Referring to regional atrophy differences our results show that the frontal lobe and the insula were preferentially involved in the atrophic process. The degree of hemispheric, parietal, and occipital atrophy was negatively correlated with the age at disease onset, indicating a more aggressive and outspread disease in young children compared to adolescents. Volumetric hemispheric ratio and planimetric hemispheric ratio correlated significantly, but planimetric hemispheric ratio underestimated the real degree of hemiatrophy, especially in patients with predominant affections outside the frontoinsular region. The volumetric analysis presented here offers a precise assessment of the disease progression in Rasmussen encephalitis in an observer-independent and time-efficient manner and gives an interesting insight into the course of the disease on MRI. The degree of atrophy evaluated with this method correlates with clinical parameters and is comparable to atrophy rates in patients receiving immunotherapy in preceding planimetric MRI studies.

Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI

The hippocampal formation (HF) is a brain structure of great interest because of its central role in learning and memory, and its associated vulnerability to several neurological disorders. In vivo oblique coronal T2-weighted MRI with high in-plane resolution (~0.5 mm × 0.5 mm), thick slices (~2.0 mm), and a field of view tailored to imaging the hippocampal formation (denoted HF-MRI in this paper) has been advanced as a useful imaging modality for detailed hippocampal morphometry. Cross-sectional analysis of volume measurements derived from HF-MRI has shown the modality's promise to yield sensitive imaging-based biomarker for neurological disorders such as Alzheimer's disease. However, the utility of this modality for making measurements of longitudinal change has not yet been demonstrated. In this paper, using an unbiased deformation-based morphometry (DBM) pipeline, we examine the suitability of HF-MRI for estimating longitudinal change by comparing atrophy rates measured in the whole hippocampus from this modality with those measured from more common isotropic (~1 mm³) T1-weighted MRI in the same set of individuals, in a cohort of healthy controls and patients with cognitive impairment. While measurements obtained from HF-MRI were largely consistent with those obtained from T1-MRI, HF-MRI yielded slightly larger group effect of greater atrophy rates in patients than in controls. The estimated minimum sample size required for detecting a 25% change in patients' atrophy rate in the hippocampus compared to the control group with a statistical power β=0.8 was N=269. For T1-MRI, the equivalent sample size was N=325. Using a dataset of test-retest scans, we show that the measurements were free of additive bias. We also demonstrate that these results were not a confound of certain methodological choices made in the DBM pipeline to address the challenges of making longitudinal measurements from HF-MRI, using a region of interest (ROI) around the HF to globally align serial images, followed by slice-by-slice deformable registration to measure local volume change. Additionally, we present a preliminary study of atrophy rate measurements within hippocampal subfields using HF-MRI. Cross-sectional differences in atrophy rates were detected in several subfields.

P4‐303: Donepezil decreases rate of hippocampal atrophy in patients with prodromal Alzheimer's disease

P4‐303: Donepezil decreases rate of hippocampal atrophy in patients with prodromal Alzheimer's disease

Spatial patterns of brain amyloid- burden and atrophy rate associations in mild cognitive impairment

Amyloid-β accumulation in the brain is thought to be one of the earliest events in Alzheimer's disease, possibly leading to synaptic dysfunction, neurodegeneration and cognitive/functional decline. The earliest detectable changes seen with neuroimaging appear to be amyloid-β accumulation detected by (11)C-labelled Pittsburgh compound B positron emission tomography imaging. However, some individuals tolerate high brain amyloid-β loads without developing symptoms, while others progressively decline, suggesting that events in the brain downstream from amyloid-β deposition, such as regional brain atrophy rates, play an important role. The main purpose of this study was to understand the relationship between the regional distributions of increased amyloid-β and the regional distribution of increased brain atrophy rates in patients with mild cognitive impairment. To simultaneously capture the spatial distributions of amyloid-β and brain atrophy rates, we employed the statistical concept of parallel independent component analysis, an effective method for joint analysis of multimodal imaging data. Parallel independent component analysis identified significant relationships between two patterns of amyloid-β deposition and atrophy rates: (i) increased amyloid-β burden in the left precuneus/cuneus and medial-temporal regions was associated with increased brain atrophy rates in the left medial-temporal and parietal regions; and (ii) in contrast, increased amyloid-β burden in bilateral precuneus/cuneus and parietal regions was associated with increased brain atrophy rates in the right medial temporal regions. The spatial distribution of increased amyloid-β and the associated spatial distribution of increased brain atrophy rates embrace a characteristic pattern of brain structures known for a high vulnerability to Alzheimer's disease pathology, encouraging for the use of (11)C-labelled Pittsburgh compound B positron emission tomography measures as early indicators of Alzheimer's disease. These results may begin to shed light on the mechanisms by which amyloid-β deposition leads to neurodegeneration and cognitive decline and the development of a more specific Alzheimer's disease-specific imaging signature for diagnosis and use of this knowledge in the development of new anti-therapies for Alzheimer's disease.

Correlations Between Apolipoprotein E ε4 Gene Dose and Whole Brain Atrophy Rates

Objective: The purpose of this study was to characterize the relationship between whole brain atrophy rates and three levels of genetic risk for Alzheimer’s disease in cognitively normal persons. The authors previously found accelerated whole brain atrophy rates in patients with probable Alzheimer’s disease by computing changes in brain volume from sequential magnetic resonance images (MRIs). Methods: The authors assessed 36 late-middle-aged persons from three genetic groups: those with two, one, and no copies of the apolipoprotein E (APOE) ε4 allele, a common Alzheimer’s disease susceptibility gene. The participants had clinical ratings, neuropsychological tests, and volumetric T1-weighted MRIs during a baseline visit and again approximately 2 years later. Two different image-analysis techniques, brain boundary shift integration and iterative principal component analysis, were used to compute whole brain atrophy rates. Results: While there were no baseline, follow-up, or between-visit differences in the clinical ratings or neuropsychological test scores among the three subject groups, whole brain atrophy rates were significantly greater in the ε4 homozygote group than in noncarriers and were significantly correlated with ε4 gene dose (i.e., the number of ε4 alleles in a person’s APOE genotype). Conclusion: Since APOE ε4 gene dose is associated with an increased risk of Alzheimer’s disease and a younger median age at dementia onset, this study suggests an association between the risk of Alzheimer’s disease and accelerated brain atrophy rates before the onset of cognitive impairment.

Correlations Between Apolipoprotein E ε4 Gene Dose and Whole Brain Atrophy Rates

The purpose of this study was to characterize the relationship between whole brain atrophy rates and three levels of genetic risk for Alzheimer's disease in cognitively normal persons. The authors previously found accelerated whole brain atrophy rates in patients with probable Alzheimer's disease by computing changes in brain volume from sequential magnetic resonance images (MRIs). The authors assessed 36 late-middle-aged persons from three genetic groups: those with two, one, and no copies of the apolipoprotein E (APOE) epsilon4 allele, a common Alzheimer's disease susceptibility gene. The participants had clinical ratings, neuropsychological tests, and volumetric T1-weighted MRIs during a baseline visit and again approximately 2 years later. Two different image-analysis techniques, brain boundary shift integration and iterative principal component analysis, were used to compute whole brain atrophy rates. While there were no baseline, follow-up, or between-visit differences in the clinical ratings or neuropsychological test scores among the three subject groups, whole brain atrophy rates were significantly greater in the epsilon4 homozygote group than in noncarriers and were significantly correlated with epsilon4 gene dose (i.e., the number of epsilon4 alleles in a person's APOE genotype). Since APOE epsilon4 gene dose is associated with an increased risk of Alzheimer's disease and a younger median age at dementia onset, this study suggests an association between the risk of Alzheimer's disease and accelerated brain atrophy rates before the onset of cognitive impairment.

Discussion, Part II

Dr. ARNOLD: To assess neuroprotection, it's important to be able to measure changes in myelin. Magnetization transfer ratio (MTR) imaging is a very sensitive method for measuring both myelin injury and myelin repair on a voxel-by-voxel basis, which can be used for evaluating this aspect of neuroprotection. Dr. ZIVADINOV: Are the data you've presented here only for original gadolinium-enhancing lesions or for all lesions that appear? Dr. ARNOLD: These data are strictly the percentage of the initial gadolinium-enhancing lesion volume. It's effectively the percentage of the voxels that were gadolinium enhancing on the original scan that show these changes over time. That's a very important point, because it's what gives MTR its power: you can do this for all the lesions. Atrophy is an important measure of neuroprotection, so touching on the atrophy data thus far is relevant. The conventional MRI data that exist show that the rate of atrophy in patients can be related to the frequency of contrast-enhancing lesions. In the Richert group study, patients who had no contrast-enhancing lesions had very low rates of atrophy over the subsequent 5 years, whereas those with more than three contrast-enhancing lesions had much higher rates of atrophy over the subsequent 5 years. This implies that there is some dependence of atrophy on focal inflammation, which you might think obvious, but as Gary [Birnbaum] said earlier, there's a tendency now to attribute the loss of brain volume to diffuse degenerative processes that don't necessarily involve the lesions. My group was interested in this dependency of atrophy on the lesions, in part for the reasons I just hinted at and in part because of the phenomenon of T2 lesion volume plateauing and even decreasing over time in patients with MS. I tried to get our investigators to look at lesion formation and …

Visualization and quantification of disease progression in multiple system atrophy

To visualize and quantify disease progression in multiple system atrophy (MSA) from cerebellar type (MSA-C), we combined two magnetic resonance imaging (MRI) techniques, voxel-based morphometry (VBM) and 3D-based volumetry. Patients suffering from MSA-C (n = 14) were imaged twice with an interval of 2.0 +/- 0.2 years. We first applied VBM to map brain morphology changes between MSA patients and controls and to identify brain areas that showed a significant amount of atrophy. Using 3D-based volumetry, we confirmed that in MSA-C patients, the brainstem including medulla and pons, vermis and cerebellar hemispheres, caudate nucleus and putamen showed significant atrophy compared with controls. Next, we used 3D-based volumetry to analyze the atrophy rates. Atrophy rates in patients with MSA were significantly different from controls for putamen (-11.4% +/- 2.6%/year), vermis (-12.3% +/- 2.9%/year), and cerebellar hemispheres (-6.6% +/- 1.1%/year). The results show that 3D-based MRI volumetry is a tool that allows the disease progression of MSA to be followed over a time period of 2 years and suggest that it may serve as a surrogate marker in clinical trials to measure disease progression.

Atrophy rate in medial temporal lobe during progression of Alzheimer disease

To establish the progression of brain atrophy rates in patients with a known date of onset of Alzheimer disease (AD). Each of 18 subjects had two high-resolution T1-weighted three-dimensional MRI examinations. The two MRIs were coregistered and the annual rate of brain tissue atrophy was derived both for the entire brain and regionally for the left and right medial temporal lobe (MTL). Time since onset (TSO) of AD, defined as the interval between the date of onset and the midpoint of MRI dates, ranged from -2.9 to 4.2 years. In patients with AD, TSO was a correlate of the atrophy rate for both the left MTL (R2 = 0.58, p = 0.001) and right MTL (R2 = 0.30, p = 0.03). When serial measurements were applied to a control group of 21 cognitively normal elderly subjects, MTL atrophy rate classified the group membership (AD vs normal cognition) with an accuracy of 92.3%. Increased annual atrophy rate in the medial temporal lobe is a potential diagnostic marker of the progression of Alzheimer disease.

An automated algorithm for the computation of brain volume change from sequential MRIs using an iterative principal component analysis and its evaluation for the assessment of whole-brain atrophy rates in patients with probable Alzheimer's disease

This article introduces an automated method for the computation of changes in brain volume from sequential magnetic resonance images (MRIs) using an iterative principal component analysis (IPCA) and demonstrates its ability to characterize whole-brain atrophy rates in patients with Alzheimer's disease (AD). The IPCA considers the voxel intensity pairs from coregistered MRIs and identifies those pairs a sufficiently large distance away from the iteratively determined PCA major axis. Analyses of simulated and real MRI data support the underlying assumption of a linear relationship in paired voxel intensities, identify an outlier distance threshold that optimizes the trade-off between sensitivity and specificity in the detection of small volume changes while accounting for global intensity changes, and demonstrate an ability to detect changes as small as 0.04% of brain volume without confounding effects of between-scan shifts in voxel intensity. In eight patients with probable AD and eight age-matched normal control subjects, the IPCA was comparable to the established but partly manual digital subtraction (DS) method in characterizing annual rates of whole-brain atrophy: resulting rates were correlated (Spearman rank correlation = 0.94, P < 0.0005) and comparable in distinguishing probable AD from normal aging (IPCA-detected atrophy rates: 2.17 ± 0.52% per year in the patients vs. 0.41 ± 0.22% per year in the controls [Wilcoxon–Mann–Whitney test P = 7.8 × 10 −4]; DS-detected atrophy rates: 3.51 ± 1.31% per year in the patients vs. 0.48 ± 0.29% per year in the controls [ P = 7.8 × 10 −4]). The IPCA could be used in tracking the progression of AD, evaluating the disease-modifying effects of putative treatments, and investigating the course of other normal and pathological changes in brain morphology.