Functional cognitive assessment scale (FUCAS): a new scale to assess executive cognitive function in daily life activities in patients with dementia and mild cognitive impairment

Kounti, Fotini; Tsolaki, Magda; Kiosseoglou, Grigoris

doi:10.1002/hup.772

Cited by 76 publications

(59 citation statements)

References 26 publications

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“…Functional Cognitive Assessment Scale (FUCAS) [12] Functional Rating Scale of Symptoms of Dementia (FRSSD) [13] Cognitive Function: Mini Mental State Examination (MMSE) [14] Montreal Cognitive Assessment (MOCA) [15] WAIS-R (digit symbol) [16] Test of Every Day Attention (TEA) [17] Rey Auditory-Verbal Learning Test (RAVLT) [18] Rivermead Behavioural Memory Test (RBMT) [19] Rey Ostereith Complex Figure Test (ROCFT) [20] Βoston Naming Test (BNT) [21] Verbal Fluency (FAS) [22] STROOP [23] TRAIL MAKING B [24] Wisconsin Card Sorting Test-WCST [25] Emotional performance: Geriatric Depression Scale (GDS).…”

Section: Activities Of Daily Lifementioning

confidence: 99%

Computer based cognitive training for patients with mild cognitive impairment (MCI)

Stavros

Kounti

Tsolaki

2010

Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

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Brain activation through computer training of attention and executive function could stimulate brain plasticity in patients with Mild Cognitive Impairment (MCI). Aim: The study aimed to investigate the effectiveness of a computer based training on visual spatial abilities, visual attention, executive function and visual memory, in MCI patients. Method: The participants were 59 MCI patients, age 68.08 (7.25), education 9.17 (3.93), and MMSE 27.73 (1.35), classified in one experimental (N=30) and one control group (N=29). The groups were matched in age (p= 0.60), education (p= 0.06), drugs (0.51) and gender (p= 0.52). The experimental group attended 20 weekly sessions in a period of 6 months, including tasks of visual attention, visual spatial abilities, visual memory, and executive function. The control group did not participate in any type of intervention and was in a waiting list. Neuropsychological assessment was performed at baseline and at the end of the training. Results: At baseline, there were no between groups differences in cognitive abilities. At the end of the training, between groups comparison yielded differences in favor of the experimental group in attention (p≤ 0.00), verbal fluency (p= 0.00), visual memory (p= 0.01), verbal memory (p=0.00) and learning through feedback (p=0.00). Within group analysis of the experimental group's performance has shown improvement in attention (p=0.00) and daily function (p=0.00). Controls have shown an improvement in perseverant responses and cognitive flexibility (p≤0.00) and naming (p=0.02), and deterioration in abilities of attention (p≤0.00). Conclusion: Computer cognitive training helped the experimental group to improve attention abilities and the improvement was generalized in verbal memory and in ADL as well.

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Section: Activities Of Daily Lifementioning

confidence: 99%

Computer based cognitive training for patients with mild cognitive impairment (MCI)

Stavros

Kounti

Tsolaki

2010

Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

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“…Not unexpectedly, items comprising the memory subscale showed the only significant difference between groups, although this difference was small in an absolute sense. Tasks that have shown particular sensitivity in differentiating MCI from NC (by self-and informant report) include management of public transportation, food preparation, and management of finances and medications [13–17]. While the TFLS includes some such tasks, they are probably too simple for MCI subjects.…”

Section: Resultsmentioning

confidence: 99%

Can a Direct IADL Measure Detect Deficits in Persons with MCI?

Binegar¹,

Hynan²,

Lacritz³

et al. 2009

CAR

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Objective-To determine if a direct measure of instrumental activities of daily living (IADL) scale designed for use with dementia patients can detect differences between persons with mild cognitive impairment (MCI) and normal elderly control subjects (NC).Methods-This study used cross-sectional and longitudinal IADL scale data from MCI and NC subjects followed at an Alzheimer's Disease Center.Results-On a 52-point scale, MCI subjects (n = 30) scored significantly lower than NC subjects (n = 30) on the IADL scale (total score 47.17 vs. 48.77 points; t (58) = 2.34, p = .011) and its Memory subscale (5.27 vs. 6.6 points; t (58) = 3.29, p = .002).Examination of annualized IADL scale change scores revealed that 50% of MCI subjects had declined by one point, compared with 29% of NC.Conclusion-A direct IADL measure for dementia patients is able to detect small differences between MCI and NC and cross-sectionally and longitudinally, but does not distinguish between groups.

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“…18 A big help in everyday clinical praxis, we have been using the Functional and Cognitive Assessment Scale (FUCAS) test since 2005. 19 In a recent study on 270 MCI, 402 AD patients and 108 healthy controls, behavioral assessment was performed by means of the Middelheim Frontality Score, Behavioral Pathology in AD Rating Scale, Cohen-Mansfield Agitation Inventory and the Cornell Scale for Depression in Dementia. Moderate-to-severe behavioral symptoms were present in 13% of MCI patients, as compared with 39% of AD patients and 3% of controls (P o 0.001).…”

Section: Diagnosis Of Cognitive Decline In Futurementioning

confidence: 99%

Clinical workout for the early detection of cognitive decline and dementia

Tsolaki

2014

Eur J Clin Nutr

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Aging is the major risk factor for the development of human neurodegenerative maladies such as Alzheimer's, Huntington's and Parkinson's diseases (PDs) and prion disorders, all of which stem from toxic protein aggregation. All of these diseases are correlated with cognitive decline. Cognitive Decline is a dynamic state from normal cognition of aging to dementia. According to the original criteria for Alzheimer's Disease (AD) (1984), a clinical diagnosis was possible only when someone was already demented. The prevalence rates of Cognitive Decline (mild cognitive impairment plus dementia) are very high now and will be higher in future because of the increasing survival time of people. Many neurological and psychiatric diseases are correlated with cognitive decline. Diagnosis of cognitive decline is mostly clinical (clinical criteria), but there are multiple biomarkers that could help us mostly in research programs such as short or long, paper and pencil or computerized neuropsychological batteries for cognition, activities of daily living and behavior, electroencephalograph, event-related potentials, and imaging-structural magnetic resonance imaging (MRI) and functional (fMRI, Pittsburgh bound positron emission tomography, FDG-PET, single photon emission computerized tomography and imaging of tau pathology)-cerebrospinal fluid proteins (Abeta, tau and phospho-tau in AD and α-synuclein (αSyn) for PD). Blood biomarkers need more studies to confirm their usefulness. Genetic markers are also studied but until now are not used in clinical praxis. Finally, in everyday clinical praxis and in research workout for early detection of cognitive decline, the combination of biomarkers is useful.

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Functional cognitive assessment scale (FUCAS): a new scale to assess executive cognitive function in daily life activities in patients with dementia and mild cognitive impairment

Abstract: FUCAS is a useful and reliable diagnostic tool for MCI. Cognitive-behavioral assessment such as that provided by FUCAS can provide objective information that can serve to enhance the quality of clinical decision-making.

Cited by 76 publications

References 26 publications

Computer based cognitive training for patients with mild cognitive impairment (MCI)

Computer based cognitive training for patients with mild cognitive impairment (MCI)

Can a Direct IADL Measure Detect Deficits in Persons with MCI?

Clinical workout for the early detection of cognitive decline and dementia

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