Publications

100 Publications visible to you, out of a total of 100

Abstract (Expand)

The revised NIA-AA diagnostic criteria for Alzheimer's disease (AD) and mild cognitive impairment (MCI) due to AD make use of amyloid pathology and neurodegeneration biomarkers which increase the diagnostic confidence in the majority of patients. However, in daily praxis, cases with conflicting biomarker constellations occur. A MCI subject underwent neuropsychological testing supplemented by FDG and amyloid PET/MRI as well as CSF sampling. In this subject, the biomarkers of Abeta deposition were negative. [18F]FDG PET, however, showed an AD-typical hypometabolism. Further studies are required to determine frequency and relevance of cases with neurodegeneration-first biomarker constellations to improve our understanding on pathogenesis and diagnosis of AD.

Authors: S. Tiepolt, M. Patt, K. T. Hoffmann, M. L. Schroeter, O. Sabri, H. Barthel

Date Published: 25th Sep 2015

Publication Type: Not specified

Human Diseases: cognitive disorder, Alzheimer's disease

Abstract (Expand)

BACKGROUND: Studies have shown that dementia and cognitive impairment can increase mortality, but less is known about the association between subjectively perceived cognitive deficits (subjective cognitive decline, SCD) and mortality risk. OBJECTIVE: In this study, we analyzed mortality in non-demented individuals with SCD in a general population sample aged 75+ years. METHOD: Data were derived from the Leipzig Longitudinal Study of the Aged (LEILA75+). We used the Kaplan-Meier survival method to estimate survival times of individuals with and without SCD and multivariable Cox proportional hazards regression to assess the association between SCD and mortality risk, controlled for covariates. RESULTS: Out of 953 non-demented individuals at baseline, 117 (12.3% ) expressed SCD. Participants with SCD showed a significantly higher case-fatality rate per 1,000 person-years (114.8, 95% CI = 90.5-145.7 versus 71.7, 95% CI = 64.6-79.5) and a significantly shorter mean survival time than those without (5.4 versus 6.9 years, p < 0.001). The association between SCD and mortality remained significant in the Cox analysis; SCD increased mortality risk by about 50% (adjusted Hazard Ratio = 1.51) during the study period. Besides SCD, older age, male gender, diabetes mellitus, stroke, and lower global cognitive functioning were also significantly associated with increased mortality. CONCLUSION: Our findings suggest an increased mortality risk in non-demented older individuals with SCD. Even though further studies are required to analyze potential underlying mechanisms, subjective reports on cognitive deficits may be taken seriously in clinical practice not only for an increased risk of developing dementia and AD but also for a broader range of possible adverse health outcomes.

Authors: T. Luck, S. Roehr, F. Jessen, A. Villringer, M. C. Angermeyer, S. G. Riedel-Heller

Date Published: 24th Sep 2015

Publication Type: Not specified

Human Diseases: dementia

Abstract (Expand)

Research increasingly suggests that subjective cognitive decline (SCD) in older adults, in the absence of objective cognitive dysfunction or depression, may be a harbinger of non-normative cognitive decline and eventual progression to dementia. Little is known, however, about the key features of self-report measures currently used to assess SCD. The Subjective Cognitive Decline Initiative (SCD-I) Working Group is an international consortium established to develop a conceptual framework and research criteria for SCD (Jessen et al., 2014, Alzheimers Dement 10, 844-852). In the current study we systematically compared cognitive self-report items used by 19 SCD-I Working Group studies, representing 8 countries and 5 languages. We identified 34 self-report measures comprising 640 cognitive self-report items. There was little overlap among measures- approximately 75% of measures were used by only one study. Wide variation existed in response options and item content. Items pertaining to the memory domain predominated, accounting for about 60% of items surveyed, followed by executive function and attention, with 16% and 11% of the items, respectively. Items relating to memory for the names of people and the placement of common objects were represented on the greatest percentage of measures (56% each). Working group members reported that instrument selection decisions were often based on practical considerations beyond the study of SCD specifically, such as availability and brevity of measures. Results document the heterogeneity of approaches across studies to the emerging construct of SCD. We offer preliminary recommendations for instrument selection and future research directions including identifying items and measure formats associated with important clinical outcomes.

Authors: L. A. Rabin, C. M. Smart, P. K. Crane, R. E. Amariglio, L. M. Berman, M. Boada, R. F. Buckley, G. Chetelat, B. Dubois, K. A. Ellis, K. A. Gifford, A. L. Jefferson, F. Jessen, M. J. Katz, R. B. Lipton, T. Luck, P. Maruff, M. M. Mielke, J. L. Molinuevo, F. Naeem, A. Perrotin, R. C. Petersen, L. Rami, B. Reisberg, D. M. Rentz, S. G. Riedel-Heller, S. L. Risacher, O. Rodriguez, P. S. Sachdev, A. J. Saykin, M. J. Slavin, B. E. Snitz, R. A. Sperling, C. Tandetnik, W. M. van der Flier, M. Wagner, S. Wolfsgruber, S. A. Sikkes

Date Published: 24th Sep 2015

Publication Type: Not specified

Human Diseases: cognitive disorder, dementia

Abstract (Expand)

Neuron-specific enolase (NSE) has been suggested as a prognostic biomarker for neuronal alterations resulting from conditions such as traumatic brain injury (TBI), neurodegenerative disease, or cardiac arrest. To validate serum NSE (sNSE) as a brain-specific biomarker, we related it to functional brain imaging data in 38 healthy adults to create a physiological framework for future studies in neuropsychiatric diseases. sNSE was measured by monoclonal two-site immunoluminometric assays, and functional connectivity was investigated with resting-state functional magnetic resonance imaging (rfMRI). To identify neural hubs most essentially related to sNSE, we applied graph theory approaches, namely, the new data-driven and parameter-free approach, eigenvector centrality mapping. sNSE and eigenvector centrality were negatively correlated in the female cerebellum, without any effects in male subjects. In cerebellar cortex, NSE expression was significantly higher than whole-brain expression as investigated in the whole brain and whole genome-wide atlas of the Allen Institute for Brain Sciences (Seattle, WA). Our study shows a specific linkage between the neuronal marker protein, sNSE, and cerebellar connectivity as measured with rfMRI in the female human brain, although this finding shall be proven in future studies including more subjects. Results suggest that the inclusion of sNSE in the analysis of imaging data is a useful approach to obtain more-specific information on the neuronal mechanisms that underlie functional connectivity at rest. Establishing such a baseline resting-state pattern that is tied to a neuronal serum marker opens new perspectives in the characterization of neuropsychiatric disorders as disconnective syndromes or nexopathies, in particular, resulting from TBI, neurodegenerative disease, or cardiac arrest, in the future.

Authors: M. L. Schroeter, K. Mueller, K. Arelin, J. Sacher, S. Holiga, J. Kratzsch, T. Luck, S. Riedel-Heller, A. Villringer

Date Published: 1st Sep 2015

Publication Type: Not specified

Abstract (Expand)

Background: The P3 is related to cognitive functions, psychopathology and effects of cognition-improving and -impairing drugs. Studies assessing the chronic effects of smoking on P3 mostly reported a reduction of P3 amplitude for chronic and former smokers. To date, only a few studies have analyzed this impact by using a three-stimulus oddball paradigm. This study tries to replicate previous smoking associations applying an eyes-closed active three-stimulus oddball paradigm in a well-diagnosed population based sample of healthy elderly subjects who were allowed to smoke ad libitum. The study also tries to estimate whether smoking is a relevant confounder in P3 assessment within the analyzed sample. Methods: From the Leipzig Health Care Study (LIFE) current, former and non-smokers without mental or neurological disorders were matched by age, sex and qualification. Risky alcohol consumption was further exclusion criterion given the strong association between alcoholism and P3 amplitude reduction. Results: Smoking status was not associated with any P3 parameter, with exception of prolonged P3a latency at Fz in former smokers compared to never smokers. Also, there were no significant effects of smoking status on any of the behavioral measures or a correlation with smoking-related data. Discussion: This study indicates that smoking does not seem to relevantly impact the P3 components in non-abstaining healthy elderly subjects when confounders are controlled for.

Authors: N. Mauche, C. Sander, P. Jawinski, C. Enzenbach, S. Olbrich, P. Schonknecht, U. Hegerl, T. Hensch

Date Published: 1st Sep 2015

Publication Type: Not specified

Abstract (Expand)

BACKGROUND: Recently, biomarkers have been suggested to be incorporated into diagnostic criteria for Alzheimer's disease (AD). Regarding disease-specific brain amyloid-beta deposition these comprise low amyloid-beta 1-42 in cerebrospinal fluid (CSF) and positive positron emission tomography (PET) amyloid imaging, while neuronal degeneration is evidenced by high total and phosphorylated tau levels in CSF (t-/p-tau), regional hypometabolism ([(18)F]fluorodeoxyglucose PET, FDG-PET) and characteristic atrophy-patterns (magnetic resonance imaging, MRI). CASE PRESENTATION: Here we present a case of clinically and biomarker supported AD (CSF t-/p-tau, MRI, FDG-PET) in a 59-year-old Caucasian man in whom indicators of amyloid-beta deposition dissociated between CSF parameters and the respective PET imaging. CONCLUSIONS: Such cases highlight the necessity to better understand potential dissociations between PET and CSF data for amyloid-beta biomarkers, because they are currently considered interchangeably valid with regard to in-vivo evidence for AD pathology. This is more important since amyloid deposition markers can be considered a very first prognostic indicator of imminent AD, prior to neurodegenerative biomarkers and cognitive symptoms. The case illustrates the need for further longitudinal data on potential dissociations of AD biomarkers to devise recommendations for their better prognostic and diagnostic interpretation in the future.

Authors: M. L. Schroeter, S. Tiepolt, A. Marschhauser, A. Thone-Otto, K. T. Hoffmann, H. Barthel, H. Obrig, O. Sabri

Date Published: 26th Aug 2015

Publication Type: Not specified

Human Diseases: Alzheimer's disease

Abstract (Expand)

The Three-Factor-Eating-Questionnaire (TFEQ) is an established instrument to assess eating behaviour. Analysis of the TFEQ-factor structure was based on selected, convenient and clinical samples so far. Aims of this study were (I) to analyse the factor structure of the German version of the TFEQ and (II)--based on the refined factor structure--to examine the association between eating behaviour and the body mass index (BMI) in a general population sample of 3,144 middle-aged and older participants (40-79 years) of the ongoing population based cohort study of the Leipzig Research Center for Civilization Diseases (LIFE Health Study). The factor structure was examined in a split-half analysis with both explorative and confirmatory factor analysis. Associations between TFEQ-scores and BMI values were tested with multiple regression analyses controlled for age, gender, and education. We found a three factor solution for the TFEQ with an 'uncontrolled eating', a 'cognitive restraint' and an 'emotional eating' domain including 29 of the original 51 TFEQ-items. Scores of the 'uncontrolled eating domain' showed the strongest correlation with BMI values (partial r = 0.26). Subjects with scores above the median in both 'uncontrolled eating' and 'emotional eating' showed the highest BMI values (mean = 29.41 kg/m(2)), subjects with scores below the median in all three domains showed the lowest BMI values (mean = 25.68 kg/m(2); F = 72.074, p<0.001). Our findings suggest that the TFEQ is suitable to identify subjects with specific patterns of eating behaviour that are associated with higher BMI values. Such information may help health care professionals to develop and implement more tailored interventions for overweight and obese individuals.

Authors: A. Loffler, T. Luck, F. S. Then, C. Sikorski, P. Kovacs, Y. Bottcher, J. Breitfeld, A. Tonjes, A. Horstmann, M. Loffler, C. Engel, J. Thiery, A. Villringer, M. Stumvoll, S. G. Riedel-Heller

Date Published: 1st Aug 2015

Publication Type: Not specified

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