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Purpose: To evaluate the differences of cortical activation patterns in young and elderly healthy subjects for object and spatial visual processing using a face- and location-matching task. Materials and Methods: We performed a face- and a location-matching task in 15 young (mean age: 28 ± 9 years) and 19 elderly (mean age: 71 ± 6 years) subjects. Each experiment consisted of 7 blocks alternating between activation and control condition. For face matching, the subjects had to indicate whether two displayed faces were identical or different. For location matching, the subjects had to press a button whenever two objects had an identical position. For control condition, we used a perception task with abstract images. Functional imaging was performed on a 1.5-tesla scanner using an EPI sequence. Results: In the face-matching task, the young subjects showed bilateral (right > left) activation in the occipito-temporal pathway (occipital gyrus, inferior and middle temporal gyrus). Predominantly right hemispheric activations were found in the fusiform gyrus, the right dorsolateral prefrontal cortex (inferior and middle frontal gyrus) and the superior parietal gyrus. In the elderly subjects, the activated areas in the right fronto-lateral cortex increased. An additional activated area could be found in the medial frontal gyrus (right > left). In the location-matching task, young subjects presented increased bilateral (right > left) activation in the superior parietal lobe and precuneus compared with face matching. The activations in the occipito-temporal pathway, in the right fronto-lateral cortex and the fusiform gyrus were similar to the activations found in the face-matching task. In the elderly subjects, we detected similar activation patterns compared to the young subjects with additional activations in the medial frontal gyrus. Conclusion: Activation patterns for object-based and spatial visual processing were established in the young and elderly healthy subjects. Differences between the elderly and young subjects could be evaluated, especially by using a face-matching task. Copyright © 2007 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Summary Dementia with Lewy Bodies (DLB) is the second most common form of dementia in the elderly. Core features of the DLB are fluctuating cognitive symptoms, visual hallucinations and spontaneous parkinsonism. The clinical diagnostic criteria are very useful in the differentiation between DLB and Alzheimer's disease. The deficits in cholinergic neurotransmission are pronounced and associated with cognitive and psychotic symptoms. An 83 years old patient with DLB showed well formed recurrent visual hallucinations and fluctuating cognition and attention. There was no response to treatment with atypical neuroleptics. The patient responded within few days to treatment with Donepezil. Both cognitive and behavioural symptoms were improved significantly. [ABSTRACT FROM AUTHOR]

Background: Neuronal and synaptic function in Alzheimer’s disease (AD) is measured in vivo by glucose metabolism using positron emission tomography (PET). Objective: We hypothesized that neuronal activation as measured by PET is a more sensitive index of neuronal dysfunction than activity during rest. We investigated if the correlations between dementia severity as measured with the Mini Mental State Examination (MMSE) and glucose metabolism are an artifact of brain atrophy. Method: Glucose metabolism was measured using [18F]fluorodeoxyglucose PET during rest and activation due to audiovisual stimulation in 13 mild to moderate AD patients (MMSE score ≥17). PET data were corrected for brain atrophy. Results: In the rest condition, glucose metabolism was correlated with the MMSE score primarily within the posterior cingulate and parietal lobes. For the activation condition, additional correlations were within the primary and association audiovisual areas. Most local maxima remained significant after correcting for brain atrophy. Conclusion: PET activity measured during audiovisual stimulation was more sensitive to functional alterations inglucose metabolism in AD patients compared to the resting PET. The association between glucose metabolism and MMSE score was not dependent on brain atrophy. Copyright © 2005 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Background: White matter hyperintensities (WMH) on MRI scans indicate lesions of the subcortical fiber system. The regional distribution of WMH may be related to their pathophysiology and clinical effect in vascular dementia (VaD), Alzheimer's disease (AD) and healthy aging. Methods: Regional WMH volumes were measured in MRI scans of 20 VaD patients, 25 AD patients and 22 healthy elderly subjects using FLAIR sequences and surface reconstructions from a three-dimensional MRI sequence. Results: The intraclass correlation coefficient for interrater reliability of WMH volume measurements ranged between 0.99 in the frontal and 0.72 in the occipital lobe. For each cerebral lobe, the WMH index, i.e. WMH volume divided by lobar volume, was highest in VaD and lowest in healthy controls. Within each group, the WMH index was higher in frontal and parietal lobes than in occipital and temporal lobes. Total WMH index and WMH indices in the frontal lobe correlated significantly with the MMSE score in VaD. Category fluency correlated with the frontal lobe WMH index in AD, while drawing performance correlated with parietal and temporal lobe WMH indices in VaD. Conclusions: A similar regional distribution of WMH between the three groups suggests a common (vascular) pathogenic factor leading to WMH in patients and controls. Our findings underscore the potential of regional WMH volumetry to determine correlations between subcortical pathology and cognitive impairment. [ABSTRACT FROM AUTHOR]

Subjects with mild cognitive impairment (MCI) are at a high risk of developing clinical Alzheimer's disease (AD). We asked to what extent the core biomarker candidates cerebro-spinal fluid (CSF) ß-amyloid1-42 (Aß1-42) and CSF tau protein concentrations predict conversion from MCI to AD. We studied 52 patients with MCI, 93 AD patients, and 10 healthy controls (HC). The MCI group was composed of 29 patients who had converted to AD during follow-up, and of 23 patients who showed no cognitive decline. CSF Aß1-42 and tau protein levels were assessed at baseline in all subjects, using enzyme-linked immunosorbent assays. For assessment of sensitivity and specificity, we used independently established reference values for CSF Aß1-42 and CSF tau. The levels of CSF tau were increased, whereas levels of Aß1-42 were decreased in MCI subjects. Aß1-42 predicted AD in converted MCI with a sensitivity of 59% and a specificity of 100% compared to HC. Tau yielded a greater sensitivity of 83% and a specificity of 90%. In a multiple Cox regression analysis within the MCI group, low baseline levels of Aß1-42, but not other predictor variables (tau protein, gender, age, apolipoprotein E ?4 carrier status, Mini Mental Status Examination score, observation time, antidementia therapy), correlated with conversion status (P<0.05). Our findings support the notion that CSF tau and Aß1-42 may be useful biomarkers in the early identification of AD in MCI subjects.Molecular Psychiatry (2004) 9, 705-710. doi:10.1038/sj.mp.4001473 Published online 30 December 2003 [ABSTRACT FROM AUTHOR]

Objective: Active or passive immunisation can mitigate plaque pathology in murine models of Alzheimer's disease (AD). Recently, it has been shown that antibodies against beta-amyloid (Abeta) are present in human immunoglobulin preparations (IVIgG), which specifically recognise and inhibit the neurotoxic effects of Abeta. This study reports the results from a pilot study using IVIgG in patients with AD.Methods: Five patients with AD were enrolled and received monthly IVIgG over a 6 month period. Efficacy assessment included total Abeta/Abeta(1-42) measured in the CSF/serum as well as effects on cognition (ADAS-cog; CERAD) at baseline and at 6 months following IVIgG.Results: Following IVIgG, total Abeta levels in the CSF decreased by 30.1% (17.3-43.5%) compared to baseline (p<0.05). Total Abeta increased in the serum by 233% (p<0.05). No significant change was found in Abeta(1-42) levels in the CSF/serum. Using ADAS-cog, an improvement of 3.7+/-2.9 points was detected. Scores in the MMSE were essentially unchanged (improved in four patients, stable in one patient) following IVIgG compared to baseline.Conclusion: Although the sample size of this pilot study is too small to draw a clear conclusion, the results of this pilot study provide evidence for a more detailed investigation of IVIgG for the treatment of AD. [ABSTRACT FROM AUTHOR]

Background: Cognitive performance depends on intact cortical connectivity. Important for memory processing in the human brain is the connection between posterior cingulate cortex and hippocampus, directly as well as indirectly via the parahippocampal gyrus. These brain areas are involved early in Alzheimer's disease (AD). At the same time, they belong to the default mode network (DMN), a functional network showing high functional connectivity under resting state conditions. In AD, this connectivity in specifically compromised, offering the possibility to investigate the structural basis of functional brain connectivity., Methods: We studied 18 patients with mild to moderate AD, 16 patients with mild cognitive impairment (MCI) and 20 healthy control subjects using diffusion tensor imaging (DTI) and resting state fMRI at 3.0 Tesla. We determined the effect of structural integrity in the posterior cingulate as assessed by DTI on the functional connectivity between posterior cingulate, hippocampus and parahippocampus during resting state in these three groups., Results: Structural integrity was reduced in posterior cingulate fibre tracts in patients with AD in the left hemisphere; however, this effect was partly accounted for by age differences. All three groups showed high functional connectivity between posterior cingulate cortex and hippocampus, via both the direct and the indirect pathways. Determination of effective connectivity yielded a negative fractional anisotropy (FA)-moderated correlation on the direct pathway in AD and MCI for both hemispheres, and in healthy controls for the right hemisphere. The indirect pathway showed a negative FA-moderated correlation in AD for the right hemisphere and in MCI for both hemispheres. Healthy controls showed a positive correlation on the indirect pathway for the left hemisphere., Conclusion: Our data suggest that under healthy conditions, effective connectivity in the DMN between posterior cingulate cortex and hippocampus is mainly maintained by the indirect pathway via the parahippocampal gyrus. Patients with AD and patients with MCI show changes in this connectivity with a partial allocation to the direct pathway, most likely reflecting early parahippocampal lesions. The combination of DTI and fMRI broadens our understanding of human brain connectivity and its pathological changes with AD.

At present more than 1 million patients in Germany suffer from Alzheimer's disease (AD). This number is expected to double by 2050. The effectiveness of presently approved specific antidementive drugs for symptomatic treatment of AD is still not satisfactory. The question arises whether cognition-based nonpharmacologic measures may constitute an effective intervention in AD and its prodromal stages. The paper at hand defines theoretical general principles of cognitive training and gives an overview of recent findings that provide evidence of its effectiveness. We finally present recommendations for future studies and establishment of cognitive training.

Background: Measurement of regional atrophy of the corpus callosum and cortical grey matter may differentiate between primary loss of intracortical projecting neurons and primary fibre degeneration in Alzheimer's disease (AD) and vascular dementia (VD)., Methods: The regional corpus callosum area and cortical grey matter volumes were measured in 30 patients with the clinical diagnosis of probable AD, 20 patients with the clinical diagnosis of probable VD and 24 healthy elderly control subjects using MRI in two centers in Munich and Amsterdam., Results: Patients with AD showed significantly reduced volumes of cortical grey matter in all cerebral lobes and atrophy of anterior and posterior corpus callosum areas. In VD patients only occipital lobe grey matter volume and anterior corpus callosum area were significantly reduced. In AD patients reduction of cortical grey matter volumes was significantly correlated with regional reductions of corpus callosum areas, but not in VD patients or controls., Conclusion: These findings support the notion that measurement of the corpus callosum and cortical grey matter atrophy may identify the underlying causes of cortical disconnection in AD and VD and may be helpful to differentiate between both conditions.

Structural alterations in schizophrenia have mainly been regarded as the result of neurodevelopmental processes. However, it remains unresolved whether the pattern of morphological brain changes differs between different stages of disease. We examined structural brain changes in 93 first-episode (FES) and 72 recurrently ill (REZ) patients with schizophrenia (SZ) and 175 matched healthy control subjects (HC) using cross-sectional and conjunctional voxel-based morphometry (VBM) of whole-brain MRI data in a three-step approach. We found significant grey matter density (GMD) reductions in FES compared to HC bilaterally in the temporal and prefrontal areas, including the anterior cingulate gyrus, as well as in both thalami. Hippocampus and amygdala were affected on the left side (P<0.05, corrected). In REZ patients this pattern was spatially extended. The basal ganglia were exclusively reduced in the recurrently ill group compared to controls. Common to both disease groups were reductions in the bilateral perisylvian regions, the opercular region, the insula, prefrontal cortex, left inferior temporal gyrus, limbic system including hippocampus and amygdala, and the thalami. In FES patients there were no regions affected that were not also affected in REZ patients. In contrast, REZ patients showed extended alterations within the frontal and temporal regions, the hippocampus, amygdala and exclusively in the basal ganglia relative to the FES patients. Our findings suggest a system-specific involvement of neuronal networks in schizophrenia. Furthermore, our data suggest that in the advanced stages of schizophrenia additional cortical and subcortical brain areas become involved in the disease process. Longitudinal data will be required to further test this hypothesis.

In order to improve diagnosis of Alzheimer's disease (AD), candidate biological markers in CSF as well as structural and functional imaging were investigated. Biomarkers are clearly needed to support detection of incipient AD in subjects with mild cognitive impairment (MCI). To date the most promising core candidate markers are total and hyperphosphorylated tau protein and amyloid beta peptides in the CSF, as well as hippocampus and whole brain volumetry using MRI. None of the candidates has been finally validated and established for clinical routine so far. International controlled multicenter cooperative studies are ongoing to further develop these core diagnostic marker candidates (phase III). The core markers are reviewed in detail. Promising novel approaches are discussed.

Clinical utility of magnetic resonance imaging (MRI) for the diagnosis and assessment of neurodegenerative diseases may depend upon the reliability of MRI measurements, especially when applied within a multicenter context. In the present study, we assessed the reliability of MRI through a phantom test at a total of eleven clinics. Performance and entry criteria were defined liberally in order to support generalizability of the results. For manual hippocampal volumetry, automatic segmentation of brain compartments and voxel-based morphometry, multicenter variability was assessed on the basis of MRIs of a single subject scanned at ten of the eleven sites. In addition, cranial MRI scans obtained from 73 patients with Alzheimer's disease (AD) and 76 patients with mild cognitive impairment were collected at subset of six centers to assess differences in grey matter volume. Results show that nine out of eleven centers tested met the reliability criteria of the phantom test, where two centers showed aberrations in spatial resolution, slice thickness and slice position. The coefficient of variation was 3.55% for hippocampus volumetry, 5.02% for grey matter, 4.87% for white matter and 4.66% for cerebrospinal fluid (CSF). The coefficient of variation was 12.81% (S.D.=9.06) for the voxel intensities within grey matter and 8.19% (S.D.=6.9) within white matter. Power analysis for the detection of a difference in the volumes of grey matter between AD and MCI patients across centers (d=0.42) showed that the total sample size needed is N=180. In conclusion, despite minimal inclusion criteria, the reliability of MRI across centers was relatively good.

The present study examined the cortical functional representation of neuropsychological domains in Alzheimer's disease (AD) using positron emission tomography (PET) and the neuropsychological assessment battery of the Consortium to Establish a Registry of Alzheimer's Disease (CERAD). Thirty patients with clinical probable AD and 10 elderly healthy controls underwent (18)FDG brain PET imaging during a resting state. Correlations between metabolic values and cognitive measures were determined using a region of interest analysis with NEUROSTAT (University of Michigan, USA) and a voxel-based analysis with SPM96 (Wellcome Department, London, UK). Specific correlations were seen between measures of episodic memory, verbal fluency and naming and left hemispheric temporal and prefrontal metabolism. Drawing was correlated with metabolism in left prefrontal and left inferior parietal regions. The presented data support the use of metabolic-cognitive correlations to demonstrate the neuronal substrates of cognitive impairment in AD. Subtests of the CERAD battery give a good representation of left, but not of right hemisphere function in AD.

The level of difficulty of a task can alter the neural network that activates for performance of the task. Previous studies have shown increased activation with task difficulty in the frontal lobes while the effects in the extrastriate visual areas have been unclear. We hypothesized that the face fusiform area (FFA), an area specialized for face processing, would increase activation as task difficulty increased in a face matching task. The difficulty level was increased by degrading the quality of the images. The degradation levels were 10%, 20%, 40% and 60%. Based on the correct response rate, the data were divided into a baseline level (composed of non-degraded and 10% degraded images) and a difficult level (composed of the 20%, 40% and 60% degraded images). Brain activation was measured using functional magnetic resonance imaging. The baseline face matching task activated a wide network of regions that included bilaterally the occipital, temporal and parietal lobes and the right frontal lobe. A novel behavioral finding was that task difficulty did not linearly increase with image degradation. The novel brain imaging finding was that the FFA is modulated by task difficulty and performance in the task was linearly correlated to activation in FFA. In addition, we found that activation in the dorsolateral prefrontal cortex (DLPFC) had increased activation as task difficulty increased. When adding the response time as a covariate, the differences in the DLPFC did not remain statistically significant. Increased task difficulty also led to a decrease in activation of visual areas in the extrastriate cortex. Task difficulty increased activation in the FFA to enhance the face processing and suppressed activation in visual extrastriate areas that processed low level properties of the stimuli. Task difficulty led to enhanced response in the FFA and suppressed response in other visual areas.

We used volumetric MRI and analysis of areas under receiver operating characteristic (ROC) curves to directly compare the extent of hippocampus-amygdala formation (HAF) and corpus callosum atrophy in patients with Alzheimer's disease (AD) in different clinical stages of dementia. Based on neuropathological studies, we hypothesized that HAF atrophy, representing allocortical neuronal degeneration, would precede atrophy of corpus callosum, representing loss of neocortical association neurons, in early AD. HAF and corpus callosum sizes were significantly reduced in 27 AD patients (37% and 16%, respectively) compared to 28 healthy controls. In mildly- and moderately-demented AD patients, the ROC derived index of atrophy was greater for HAF volume than for total corpus callosum area. The index of atrophy of posterior corpus callosum was not significantly different from HAF at mild, moderate or severe stages of dementia. In conclusion, these findings suggest a characteristic regional pattern of allocortical and neocortical neurodegeneraton in AD. Our data indicate that neuronal loss in parietotemporal cortex (represented by atrophy of corpus callosum splenium) may occur simultaneously with allocortical neurodegeneration in mild AD. Moreover, ROC analysis may provide a statistical framework to determine atrophy patterns of different brain structures in neurodegenerative diseases in vivo.