Genome‐wide meta‐analysis of age‐related cognitive decline in population‐based older individuals

2021 ◽  
Vol 17 (S2) ◽  
Author(s):  
Vibha Acharya ◽  
Kang‐Hsien Fan ◽  
Beth E Snitz ◽  
Mary Ganguli ◽  
Steve DeKosky ◽  
...  
2020 ◽  
Vol 78 (3) ◽  
pp. 1047-1088
Author(s):  
Nena Lejko ◽  
Daouia I. Larabi ◽  
Christoph S. Herrmann ◽  
André Aleman ◽  
Branislava Ćurčić-Blake

Background: Mild cognitive impairment (MCI) is a stage between expected age-related cognitive decline and dementia. Dementias have been associated with changes in neural oscillations across the frequency spectrum, including the alpha range. Alpha is the most prominent rhythm in human EEG and is best detected during awake resting state (RS). Though several studies measured alpha power and synchronization in MCI, findings have not yet been integrated. Objective: To consolidate findings on power and synchronization of alpha oscillations across stages of cognitive decline. Methods: We included studies published until January 2020 that compared power or functional connectivity between 1) people with MCI and cognitively healthy older adults (OA) or people with a neurodegenerative dementia, and 2) people with progressive and stable MCI. Random-effects meta-analyses were performed when enough data was available. Results: Sixty-eight studies were included in the review. Global RS alpha power was lower in AD than in MCI (ES = –0.30; 95% CI = –0.51, –0.10; k = 6), and in MCI than in OA (ES = –1.49; 95% CI = –2.69, –0.29; k = 5). However, the latter meta-analysis should be interpreted cautiously due to high heterogeneity. The review showed lower RS alpha power in progressive than in stable MCI, and lower task-related alpha reactivity in MCI than in OA. People with MCI had both lower and higher functional connectivity than OA. Publications lacked consistency in MCI diagnosis and EEG measures. Conclusion: Research indicates that RS alpha power decreases with increasing impairment, and could—combined with measures from other frequency bands—become a biomarker of early cognitive decline.


2003 ◽  
Vol 15 (S1) ◽  
pp. 105-110
Author(s):  
Chengxuan Qiu ◽  
Laura Fratiglioni

Cognitive decline is a central component of the dementia process. Population-based prospective studies have confirmed the existence of age-related cognitive decline, although its conceptual basis and nosological status remain controversial. Healthy old people show decline with aging in global cognition and memory function in particular. Preclinical and clinical dementia patients exhibit deficits across multiple cognitive domains, with the largest and most consistent deficits in memory function. Cerebrovascluar disease may lead to cognitive decline and promote the clinical expression of dementia directly or by interaction with APOE η4. Early treatment and prevention of cerebrovascular disease may be the major measures for preventing and postponing the progression of the vascular disease related cognitive decline.


1997 ◽  
Vol 171 (5) ◽  
pp. 449-451 ◽  
Author(s):  
Friedel M. Reischies ◽  
Bernhard Geiselmann

BackgroundCurrently the Mini Mental State Examination (MMSE) is widely used as a screening instrument for dementia syndrome. Diagnostic validity may be lowered in old age by normal age-related cognitive decline. Furthermore, visual impairment, occurring frequently in old age, leads to missing values which prevent an interpretation of the test result.MethodIn the Berlin Ageing Study (n=516, age range 70–103 years) MMSE and clinical dementia diagnosis, made by a psychiatrist investigating all subjects by the Geriatric Mental State–A and History and Aetiology Schedule interviews, were investigated independently. The MMblind was analysed, an MMSE version for vision impairment in which all items requiring image processing are omitted. The study sample is population-based; dementia cases (DSM–III–R) were excluded on the basis of the clinical diagnosis.ResultsNorms are reported for very old age regarding MMSE as well as MMblind. There is a considerable age effect on MMSE scores. In contrast to MMSE, sensitivity and specificity of the shorter MMblind version are not reduced.ConclusionsThe considerable age effect requires the adaptation of cut-off values for old age. The blind version of the MMSE seems to be a valid instrument improving the applicability of the MMSE in old age.


Sign in / Sign up

Export Citation Format

Share Document