1. |
- Berg, Anne Ingeborg, 1973, et al.
(author)
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Living with stable MCI: Experiences among 17 individuals evaluated at a memory clinic.
- 2013
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In: Aging & mental health. - : Informa UK Limited. - 1364-6915 .- 1360-7863. ; 17:3, s. 293-9
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Journal article (peer-reviewed)abstract
- Objectives: Mild cognitive impairment (MCI) is a state of mildly impaired cognitive functioning but with an intact capability of performing basic daily activities. Few studies have targeted personal narratives from persons living with MCI, the major focus in this study is directed to methods for better predictions of the likelihood for conversion to dementia. This study directly explores experiences among individuals who have lived with MCI over seven years without converting to dementia. Methods: Seventeen individuals, who had been diagnosed with MCI across four occasions over a seven-year period at a memory clinic, were interviewed at a single occasion about their experiences of living with MCI, life events, stress, coping, psychosocial resources, and lifestyle behaviors. Results: Thematic analysis of the transcripts of the interviews resulted in themes revolving around the life situation and events related to the first visit at the memory clinic, coping with lower cognitive capacity with the aim of enhancing quality of life, and worries about dementia and further cognitive deteriorations. Conclusion: The participants' experiences of living with MCI indicate that issues and changes in life situations such as long-term stress, retirement, loss of relatives, perceived heritability of dementia, needs to be understood in the context of the individual's understanding and interpretation of their everyday cognitive functioning. Also, supportive long-term contacts with the specialist care unit were vital for creating a personal understanding of MCI. Addressing the intra-personal dynamics of cognitive functioning in the boundary between normal and pathological cognitive aging can also improve diagnostic accuracy.
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2. |
- Bjerke, Maria, 1977, et al.
(author)
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Cerebrovascular Biomarker Profile Is Related to White Matter Disease and Ventricular Dilation in a LADIS Substudy.
- 2014
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In: Dementia and geriatric cognitive disorders extra. - : S. Karger AG. - 1664-5464. ; 4:3, s. 385-94
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Journal article (peer-reviewed)abstract
- Small vessel disease (SVD) represents a common often progressive condition in elderly people contributing to cognitive disability. The relationship between cerebrospinal fluid (CSF) biomarkers and imaging correlates of SVD was investigated, and the findings were hypothesized to be associated with a neuropsychological profile of SVD.
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3. |
- Bjerke, Maria, 1977, et al.
(author)
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Subcortical vascular dementia biomarker pattern in mild cognitive impairment.
- 2009
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In: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 28:4, s. 348-56
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Journal article (peer-reviewed)abstract
- BACKGROUND: Mild cognitive impairment (MCI) is an etiologically unclear disorder. Cerebrospinal fluid (CSF) biomarkers are potentially useful for the differentiation between various MCI etiologies. AIM: The aim of the study was to assess whether baseline CSF hyperphosphorylated tau (P-tau), total tau (T-tau), amyloid beta 1-42 (Abeta(42)) and neurofilament light (NF-L) in patients with MCI could predict subcortical vascular dementia (SVD) and Alzheimer's disease (AD) at follow-up. METHODS: Biomarker levels were assessed by Luminex xMAP technology and ELISA. RESULTS: Increased baseline concentrations of NF-L significantly separated MCI-SVD from stable MCI. The MCI-SVD patients were inseparable from stable MCI but separable from patients developing AD (MCI-AD) on the basis of Abeta(42,) T-tau and P-tau(181) levels. CONCLUSION: A combination of the biomarkers Abeta(42), T-tau, P-tau(181) and NF-L has the potential to improve the clinical separation of MCI-SVD patients from stable MCI and MCI-AD patients.
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4. |
- Björkner, Eva, et al.
(author)
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Voice acoustic parameters for detecting signs of early cognitive impairment
- 2017
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In: PEVOC (PanEuropean Voice Conference) 12, August 30th - September 1st 2017, Ghent, Belgium.
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Conference paper (other academic/artistic)abstract
- Aiding the detection of very early cognitive impairment in Alzheimer's disease (AD) and assessing the disease progression are essential foundations for effective psychological assessment, diagnosis and planning. Efficient tools for routine dementia screening in primary health care, particularly non-invasive and cost-effective methods, are desirable. The aim of this study is to find out if voice acoustic analysis can be a useful tool for detecting signs of early cognitive impairment.
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5. |
- Bos, Isabelle, et al.
(author)
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The frequency and influence of dementia risk factors in prodromal Alzheimer's disease
- 2017
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In: Neurobiology of Aging. - : Elsevier. - 0197-4580 .- 1558-1497. ; 56, s. 33-40
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Journal article (peer-reviewed)abstract
- We investigated whether dementia risk factors were associated with prodromal Alzheimer's disease (AD) according to the International Working Group-2 and National Institute of Aging-Alzheimer's Association criteria, and with cognitive decline. A total of 1394 subjects with mild cognitive impairment from 14 different studies were classified according to these research criteria, based on cognitive performance and biomarkers. We compared the frequency of 10 risk factors between the subgroups, and used Cox-regression to examine the effect of risk factors on cognitive decline. Depression, obesity, and hypercholesterolemia occurred more often in individuals with low-AD-likelihood, compared with those with a high-AD-likelihood. Only alcohol use increased the risk of cognitive decline, regardless of AD pathology. These results suggest that traditional risk factors for AD are not associated with prodromal AD or with progression to dementia, among subjects with mild cognitive impairment. Future studies should validate these findings and determine whether risk factors might be of influence at an earlier stage (i.e., preclinical) of AD.
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6. |
- Eckerström, Carl, et al.
(author)
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A Combination of Neuropsychological, Neuroimaging, and Cerebrospinal Fluid Markers Predicts Conversion from Mild Cognitive Impairment to Dementia.
- 2013
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In: Journal of Alzheimer's disease : JAD. - 1875-8908. ; 36:3, s. 421-431
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Journal article (peer-reviewed)abstract
- Background: Mild cognitive impairment (MCI) is a condition with increased risk for further cognitive decline. A considerable challenge lies in predicting which patients will eventually convert to dementia. Objective: To study prediction of dementia in MCI using neuropsychological tests, commonly used cerebrospinal fluid (CSF) biomarkers, and hippocampal volume. Methods: Twenty-one MCI patients converting to dementia, 21 stable MCI patients, and 26 controls were included in the study with a follow-up time of two years. The study participants underwent comprehensive examinations at inclusion: a neuropsychological assessment comprising 20 tests, MRI scanning with subsequent hippocampal volumetry, and CSF analyses of T-tau, P-tau, and Aβ42. Results: Neuropsychological tests, hippocampal volume, and the CSF markers Aβ42, P-tau, and T-tau all predicted conversion from MCI to dementia. A combination of all classes of markers was the most successful at predicting dementia (AUC 0.96) with a memory test (RAVLT) as the best individual predictor (AUC 0.93). Similar findings are reported for the prediction of Alzheimer's disease. Conclusion: Neuropsychological tests were the best individual predictors of dementia. A combination of markers improved the predictive ability with the combination of neuropsychological tests, CSF, and hippocampal volume as the best predictors of dementia.
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7. |
- Eckerström, Carl, et al.
(author)
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Multimodal Prediction of Dementia with up to 10 Years Follow Up: The Gothenburg MCI Study
- 2015
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In: Journal of Alzheimers Disease. - : IOS Press. - 1387-2877 .- 1875-8908. ; 44:1, s. 205-214
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Journal article (peer-reviewed)abstract
- Background: Neuropsychological tests, CSF A beta(42,) T-tau, P-tau181, hippocampal volume, and white matter lesions have been shown to predict conversion to dementia in patients with mild cognitive impairment (MCI). Objective: To examine the predictive value of combinations of these markers and to examine if the absence of pathological markers provides a lasting reduction of conversion rates. Methods: The Gothenburg MCI study is a clinically based study. Seventy-three MCI patients were included in the present sub-study and followed for a maximum of ten years. Thirty-four patients converted to dementia (18 to AD) and 39 remained stable. At inclusion, patients were classified into positive or negative risk groups according to results from neuropsychological testing (Rey auditory verbal learning test, Boston naming test, Trail making test B), CSF biomarkers (amyloid beta(42), T-tau, and P-tau181) and MRI scans (hippocampal volume, white matter lesions). Results: Trail making test B (TMT-B) was the best single predictor for the prediction of dementia (AUC 0.89, HR 25), and T-tau was the best predictor ofAD(AUC 0.97, HR 41). The combination of hippocampal volume and TMT-Bwas the best combination for the prediction of dementia (HR 25), and the combination of hippocampal volume and T-tau was the best combination for the prediction of AD (HR 37). Conclusion: Neuropsychological tests, CSF markers, and hippocampal volume predicted conversion from MCI to AD and general dementia. The absence of pathological markers provided a long-time protection from dementia.
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8. |
- Eckerström, Marie, 1981, et al.
(author)
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High Prevalence of Stress and Low Prevalence of Alzheimer Disease CSF Biomarkers in a Clinical Sample with Subjective Cognitive Impairment
- 2016
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In: Dementia and Geriatric Cognitive Disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 42:1-2, s. 93-105
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Journal article (peer-reviewed)abstract
- Background/Aims: Subjective cognitive impairment (SCI) is a trigger for seeking health care in a possible preclinical phase of Alzheimer's disease (AD), although the characteristics of SCI need clarification. We investigated the prevalence of psychosocial stress, depressive symptoms and CSF AD biomarkers in SCI and MCI (mild cognitive impairment). Methods: Memory clinic patients (SCI: n = 90; age: 59.8 ± 7.6 years; MCI: n = 160; age: 63.7 ± 7.0 years) included in the Gothenburg MCI study were examined at baseline. Variables were analyzed using logistic regression with SCI as dependent variable. Results: Stress was more prevalent in SCI (51.1%) than MCI (23.1%); p < 0.0005. SCI patients had more previous depressive symptoms (p = 0.006), but showed no difference compared to MCI patients considering current depressive symptoms. A positive CSF AD profile was present in 14.4% of SCI patients and 35.0% of MCI patients (p = 0.001). Stress (p = 0.002), previous stress/depressive symptoms (p = 0.006) and a negative CSF AD profile (p = 0.036) predicted allocation to the SCI group. Conclusion: Psychosocial stress is more prevalent in SCI than previously acknowledged. The high prevalence and long-term occurrence of stress/depressive symptoms in SCI in combination with a low prevalence of altered CSF AD biomarkers strengthens the notion that AD is not the most likely etiology of SCI.
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9. |
- Eckerström, Marie, 1981, et al.
(author)
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Longitudinal evaluation of criteria for subjective cognitive decline and preclinical Alzheimer's disease in a memory clinic sample.
- 2017
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In: Alzheimer's & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 16:8, s. 96-107
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Journal article (peer-reviewed)abstract
- Subjective cognitive decline (SCD) and biomarker-based "at-risk" concepts such as "preclinical" Alzheimer's disease (AD) have been developed to predict AD dementia before objective cognitive impairment is detectable. We longitudinally evaluated cognitive outcome when using these classifications.Memory clinic patients (n=235) were classified as SCD (n=122): subtle cognitive decline (n=36) and mild cognitive impairment (n=77) and subsequently subclassified into SCDplus and National Institute on Aging-Alzheimer's Association (NIA-AA) stages 0 to 3. Mean (standard deviation) follow-up time was 48 (35) months. Proportion declining cognitively and prognostic accuracy for cognitive decline was calculated for all classifications.Among SCDplus patients, 43% to 48% declined cognitively. Among NIA-AA stage 1 to 3 patients, 50% to 100% declined cognitively. The highest positive likelihood ratios (+LRs) for subsequent cognitive decline (+LR 6.3), dementia (+LR 3.4), and AD dementia (+LR 6.5) were found for NIA-AA stage2.In a memory clinic setting, NIA-AA stage 2 seems to be the most successful classification in predicting objective cognitive decline, dementia, and AD dementia.
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10. |
- Ellbin, S., et al.
(author)
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Assessment of cognitive function in patients with stress-related exhaustion using the Cognitive Assessment Battery (CAB)
- 2018
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In: Journal of Clinical and Experimental Neuropsychology. - : Informa UK Limited. - 1380-3395 .- 1744-411X. ; 40:6, s. 567-575
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Journal article (peer-reviewed)abstract
- Introduction: The health care system is facing an increased number of patients seeking care for burnout/stress-related exhaustion. One of the core features of this condition is cognitive impairmenteffective and easy tools are needed to assess cognition in this patient group. Our objective was to determine whether the Cognitive Assessment Battery (CAB) could be used for this purpose. Method: Ninety-three patients diagnosed with exhaustion disorder (ED) and 111 controls were included in the study and tested with CAB. CAB consists of six short tests covering the cognitive domains speed and attention, episodic memory, visuospatial, language, and executive functions. The patients also completed questionnaires on subjective memory problems, degree of burnout, anxiety, and depression. Results: The patients performed worse than the controls on four tests of speed and attention, language, and executive function. Subjective memory problems, degree of burnout, and anxiety did not influence cognitive performance, only degree of depression influenced performance negatively on an executive test. Conclusion: CAB is a useful instrument for rapid, comprehensive screening of cognitive status in patients with stress-related exhaustion. Using it, we confirmed the most replicated findings regarding cognitive impairments in patients with stress-related exhaustion.
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