Impact of Mild Cognitive Impairment on Self-Reported Cognitive Symptoms of Depression

2011 ◽  
Author(s):  
Emily E. Vaughn ◽  
Michael D. Franzen ◽  
David J. Laporte
2010 ◽  
Vol 16 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Rachell Kingsbury ◽  
Nancy A. Pachana ◽  
Michael Humphreys ◽  
Gerry Tehan ◽  
Gerard J.A. Byrne

AbstractThe current study investigated the ability of CogniScreen to differentiate older adults with mild cognitive impairment (MCI) from those reporting symptoms of depression. Participants included 140 community-based adults (30 MCI, 15 self-rated depressed, and 95 typical older adults) aged 50–89 years. Intergroup comparisons performed using receiver operating characteristic (ROC) analyses suggest tasks within CogniScreen are sensitive to clinically significant memory loss. Data provided partial support for some CogniScreen tasks to also differentiate individuals with MCI from those who are depressed. Results suggest CogniScreen may be potentially useful in screening older adults for early cognitive decline.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S277-S277
Author(s):  
Alexandra Nash ◽  
Jon Stone ◽  
Alan Carson ◽  
Craig Ritchie ◽  
Laura McWhirter

AimsThis study aimed to explore the terms used by old-age psychiatrists and psychologists to describe subjective and mild cognitive impairment and functional cognitive disorders (FCD) in clinical practice.MethodParticipants were selected from across the United Kingdom based on their clinical involvement in the assessment of cognitive complaints. 9 old-age psychiatrists and 4 psychologists were interviewed about their use of terminology in clinical practice and their awareness and understanding of FCD terminology via semi-structured interview questions and case vignettes. Interviews were conducted between December 2020 and February 2021 using online platforms Zoom and Microsoft Teams. Participants were recruited by email and Twitter. All questions were asked verbally; however, the four case vignettes were displayed via screen-share. All discussions and answers were transcribed and transcripts were coded manually using the exploratory case study methodology in order to identify themes in participants’ responses.ResultThis study has highlighted the variable use of terms used to describe and diagnose patients presenting with symptoms of cognitive disorders. The terms ‘mild cognitive impairment’, ‘subjective cognitive decline’ and ‘functional cognitive disorder’ were used most commonly amongst participants, though the terms ‘subjective cognitive impairment’ and ‘pseudodementia’ were also presented. This theme of language discontinuity is underscored by participants’ varying use of terminology when describing or presenting their diagnoses for the case vignettes. The data also reveals a sub-theme of variability in application of the term FCD. Whilst all participants gave similar definitions for this term, the application of FCD as a diagnosis in practice was inconsistent. Six participants described FCD as associated with or secondary to other functional or psychiatric conditions, four participants viewed FCD as an isolated diagnosis, and one participant considered FCD to be either part of another illness or a separate diagnosis. Two participants neither used nor recognised the term FCD.ConclusionIt is evident that there is varied use of terms describing or diagnosing forms of cognitive symptoms. The findings of this study highlight the need for a clear, adoptable definition of FCD in practice as well as implementable management plans for FCD patients. This is critical in order to avoid misdiagnosis and mismanagement, which may have harmful effects on patients living with debilitating cognitive symptoms.


2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael Malek-Ahmadi ◽  
Kathryn Davis ◽  
Christine M Belden ◽  
Sandra Jacobson ◽  
Marwan N Sabbagh

2012 ◽  
Vol 28 (9) ◽  
pp. 947-958 ◽  
Author(s):  
Stefan Van der Mussele ◽  
Kim Bekelaar ◽  
Nathalie Le Bastard ◽  
Yannick Vermeiren ◽  
Jos Saerens ◽  
...  

Neurocase ◽  
2005 ◽  
Vol 11 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Oscar L. Lopez ◽  
James T. Becker ◽  
Robert A. Sweet

2012 ◽  
Vol 43 (5) ◽  
pp. 911-920 ◽  
Author(s):  
I. H. G. B. Ramakers ◽  
F. R. J. Verhey ◽  
P. Scheltens ◽  
H. Hampel ◽  
H. Soininen ◽  
...  

BackgroundAnxiety, apathy and depression are common in subjects with mild cognitive impairment (MCI) and may herald Alzheimer's disease (AD). We investigated whether these symptoms correlated with cerebrospinal fluid (CSF) markers for AD in subjects with MCI.MethodSubjects with MCI (n=268) were selected from the ‘Development of screening guidelines and criteria for pre-dementia Alzheimer's disease’ (DESCRIPA) and Alzheimer's Disease Neuroimaging Initiative (ADNI) studies. We measured amyloid β(1-42)protein (Aβ42) and total tau (t-tau) in CSF. Neuropsychiatric symptoms were measured with the Neuropsychiatric Inventory.ResultsDepressive symptoms were reported by 55 subjects (21%), anxiety by 35 subjects (13%) and apathy by 49 subjects (18%). The presence of anxiety was associated with abnormal CSF Aβ42 [odds ratio (OR) 2.3, 95% confidence interval (CI) 1.6–3.3] and t-tau (OR 2.6, 95% CI 1.9–3.6) concentrations and with the combination of abnormal concentrations of both Aβ42 and t-tau (OR 3.1, 95% CI 2.0–4.7). The presence of agitation and irritability was associated with abnormal concentrations of Aβ42 (agitation: OR 1.6, 95% CI 1.1–2.3; irritability: OR 2.2, 95% CI 1.5–3.3). Symptoms of depression and apathy were not related to any of the CSF markers.ConclusionsIn subjects with MCI, symptoms of anxiety, agitation and irritability may reflect underlying AD pathology, whereas symptoms of depression and apathy do not.


CNS Spectrums ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 78-87 ◽  
Author(s):  
Nicole D. Anderson

Mild cognitive impairment (MCI) represents a transitional stage between healthy aging and dementia, and affects 10–15% of the population over the age of 65. The failure of drug trials in Alzheimer’s disease (AD) treatment has shifted researchers’ focus toward delaying progression from MCI to dementia, which would reduce the prevalence and costs of dementia profoundly. Diagnostic criteria for MCI increasingly emphasize the need for positive biomarkers to detect preclinical AD. The phenomenology of MCI comprises lower quality-of-life, greater symptoms of depression, and avoidant coping strategies including withdrawal from social engagement. Neurobiological features of MCI are hypoperfusion and hypometabolism in temporoparietal cortices, medial temporal lobe atrophy particularly in rhinal cortices, elevated tau and phosphorylated tau and decreased Aβ42in cerebrospinal fluid, and brain Aβ42deposition. Elevated tau can be identified in MCI, particularly in the entorhinal cortex, using positron emission tomography, and analysis of signal complexity using electroencephalography or magnetoencephalography holds promise as a biomarker. Assessment of MCI also relies on cognitive screening and neuropsychological assessment, but there is an urgent need for standardized cognitive tests to capitalize on recent discoveries in cognitive neuroscience that may lead to more sensitive measures of MCI. Cholinesterase inhibitors are frequently prescribed for MCI, despite the lack of evidence for their efficacy. Exercise and diet interventions hold promise for increasing reserve in MCI, and group psychoeducational programs teaching practical memory strategies appear effective. More work is needed to better understand the phenomenology and neurobiology of MCI, and how best to assess it and delay progression to dementia.


2019 ◽  
Vol 34 (6) ◽  
pp. 1062-1062
Author(s):  
J Marceaux ◽  
K Bain ◽  
C Fullen

Abstract Objective To examine Montreal Cognitive Assessment (MoCA) performance and frequency of low scores among veterans with primary diagnoses of cognitive disorder, psychiatric disorder, or no disorder. Method A clinic-referred sample of veterans (n = 214; Mage = 66.1, SD = 15; Medu = 13.3, SD = 2.7) diagnosed with mild cognitive impairment (MCI; n = 97), dementia (n = 47), depression (n = 18), PTSD (n = 22), or no cognitive or psychiatric disorder (n = 30) were included. All participants were administered the MoCA as part of a larger battery of tests. Analysis of covariance (ANCOVA), controlling for age and education, was conducted (Bonferroni correction applied) to compare diagnostic groups on MoCA uncorrected total score. Results Across groups, mean MoCA scores were significantly different using ANCOVA, F(4, 207) = 31.5, p < .001. As expected, those with no diagnosis (M = 24.7, SD = 2.1) or psychiatric disorders (PTSD M = 24.4, SD = 4.1; Depression M = 23.9, SD = 3) scored higher than those with cognitive disorder (MCI M = 21.7, SD = 3.1; Dementia M = 17.4, SD = 4.1), p < .001. While both psychiatric groups scored higher than those with dementia (p < .001), the depression group did not significantly differ from those with MCI (p = .11). Examination of scores across all groups revealed a majority of participants scored below the recommended cutoff of < 26. Specifically, 100% of dementia cases, 89.7% of MCI cases, 63.3% of no diagnosis cases, 50% of PTSD cases, and 72.2% of depression cases scored < 26. Conclusion Abnormal MoCA scores are common, even in the absence of cognitive impairment. Individuals with PTSD or depression are likely to score below the publisher's recommend cutoff. While this may reflect cognitive symptoms of psychiatric conditions, it may also reflect normative limitations as identified in past studies.


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