Neuropsychological profiles in MCI and in depression: Differential cognitive dysfunction patterns or similar final common pathway disorder?

Zihl, Josef; Reppermund, Simone; Thüm, Sonja; Unger, Kathrin

doi:10.1016/j.jpsychires.2009.12.002

Cited by 35 publications

(28 citation statements)

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“…Impairments of memory and processing 59 speed are greater during acute illness episodes than in periods of remission or euthymia, whereas deficits in 60 attention and executive function are more likely to persist to a similar degree over time (1,3,7). It has been 61 suggested that attention and executive function impairments are endophenotypic features of mood 62 disorder, reflecting dysfunction of prefrontal brain networks (1,8), but the influence of confounding factors 63 on the relationship between mood disorder features and cognition is not well understood. 64 65 A number of demographic and clinical factors have been investigated in association with cognitive 66 impairment in mood disorder.…”

Section: Introduction 54 55mentioning

confidence: 99%

Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants

et al. 2015

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There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.http://eprints.gla.ac.uk/111591/ This study investigated differences in cognitive performance between middle-aged adults with and without a 28 lifetime history of mood disorder features, adjusting for a range of potential confounders. 29 30 Methods 31Cross-sectional analysis of baseline data from the UK Biobank cohort. Adults aged 40-69 (n=143,828) were 32 assessed using measures of reasoning, reaction time and memory. Self-reported data on lifetime features of 33 major depression and bipolar disorder were used to construct groups for comparison against controls. 34Regression models examined the association between mood disorder classification and cognitive 35 performance, adjusting for sociodemographic, lifestyle and clinical confounders.

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Section: Introduction 54 55mentioning

confidence: 99%

Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants

et al. 2015

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“…J. McDougall et al, 2006;McIlvane, Popa, Robinson, Houseweart, & Haley, 2008) used the Center for Epidemiologic Studies Depression Scale (CES-D;). Four studies (Elfgren et al, 2010;Gabryelewicz et al, 2007;Robert et al, 2006;Zihl, Reppermund, Thum, & Unger, 2010) used the Montgomery Asberg Depression Scale (MADRS). Nine studies used the full version of the Geriatric Depression Scale (GDS-30), six studies used the fifteen-item version of the Geriatric Depression Scale (GDS-15;) two studies (Huddon, Belleville, & Gauthier, 2008;Steenland et al, 2012) used the shortened five-item version (GDS-5) and one study (Ryu et al, 2011) used the Korean version (GDS-K).…”

Section: Selection Of Measures For Assessment Of Moodmentioning

confidence: 99%

The Relationship Between Mild Cognitive Impairment and Mood in Older People

Yates¹

2018

Preprint

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Mild cognitive impairment (MCI) has received increasing attention since the early 1990s. However, considerable controversy exists over exactly how the concept of MCI is defined and measured, and the implications of assigning or receiving a diagnosis of MCI. There is evidence of a link between MCI and mood, but empirical work remains conflicted and inconclusive. The first chapter provides an overview of the MCI concept and highlights some of the issues surrounding its definition. Chapter 2 provides a detailed description of the methodology and background to the empirical work presented in Chapters 4-6. A systematic review of the literature forms the third chapter of this thesis and establishes the need for further study into the relationship between MCI and mood. Chapter 4 makes use of data from the first Cognitive Function and Ageing Study (MRC-CFAS I) to investigate the role of subjective memory complaints (SMC) in the relationship between MCI and mood over a two year period. The results indicated that SMC may be related more strongly to mood than to objective cognitive performance, which raises questions about whether SMC should be included as a criterion in the MCI definition. Chapter 5 clarifies these findings using data from a contemporary cohort in the Cognitive Function and Ageing Study Wales (CFAS Wales). Chapter 6 investigates the role of health in the relationship between MCI and mood, again using data from CFAS Wales. The findings suggest that health problems constitute a risk factor for developing depression and anxiety, which may in turn affect cognitive functioning. This presents a useful opportunity for intervention to improve the quality of life for older people by improving their physical health, or improving the management of long-term conditions. Social networks were investigated as an influential factor in the relationship between MCI and mood, using data from CFAS Wales. Whilst increases in social network size were associated with fewer mood problems and increased cognitive functioning, they did not moderate the relationship between the two. However, this finding still showed that having more social contacts is beneficial and important to the quality of life of older people. The last chapter presents a discussion of the findings in relation to each of the research questions outlined in Chapter 1. The chapter also includes a commentary on the methodological considerations that were faced when developing this thesis, the implications of the findings and directions for future research.

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“…La dépression du sujet âgée serait fréquente, bien que sa prévalence reste difficile à estimer, les troubles étant vraisemblablement sousdiagnostiqués [47]. Cette dépression peut s'accompagner de troubles cognitifs dont les plus fréquents seraient les déficits attentionnels, mnésiques et exécutifs [47,48].…”

Section: Dépression Versus MCI ?unclassified

“…Cette dépression peut s'accompagner de troubles cognitifs dont les plus fréquents seraient les déficits attentionnels, mnésiques et exécutifs [47,48]. De ce fait, une question récurrente et importante lors du bilan des troubles cognitifs débutants concerne le diagnostic différentiel entre des troubles cognitifs secondaires à une dépression versus des troubles primaires afférant à une pathologie dégénérative.…”

Section: Dépression Versus MCI ?unclassified

“…Les patients déprimés sans pathologie dégénérative normalisent leurs performances mnésiques lors de la reconnaissance et lors du rappel indicé et tendent à sous-estimer leur réussite au cours de la réalisation de l'épreuve, contrairement aux patients cérébrolésés. En dépit d'un bilan cognitif détaillé, incluant la mémoire logique (échelle de mémoire de Wechsler, Zihl et collaborateurs), l'apprentissage d'une liste de mots (CERAD) et les sous-tests Similitudes et Matrices (échelle d'intelligence de Wechsler) ne retrouvent ni cette dissociation, ni d'autres indices permettant de distinguer les patients déprimés des personnes MCI [47]. De même, Post et collègues [49] obtiennent des performances comparables entre ces groupes pour les épreuves de mémoire du CERAD.…”

Section: Dépression Versus MCI ?unclassified

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Évaluation neuropsychologique à la phase prodromique

Ehrlé

Bakchine

2013

Traité Sur La Maladie D’Alzheimer

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Les années récentes ont vu émerger, avec l'arrivée d'essais thérapeu-tiques portant sur de possibles « disease modifying drugs (DMD) », le besoin d'un diagnostic précoce et fiable de patients atteints d'une maladie d'Alzheimer (MA) à un stade très précoce, prédémentiel ou prodromique. Certains moyens nouveaux, comme le marquage céré-bral in vivo des lésions de la maladie (imagerie PIB ou FDDNP), ou la quantification de biomarqueurs du LCR ou encore l'IRM volumé-trique, apportent une aide au diagnostic d'une excellente sensibilité et spécificité. Toutefois, les agences régulatrices comme la FDA aux États-Unis ou l'EMA en Europe demandent qu'un DMD démontre à la fois un effet sur le processus physiopathologique (au travers d'éventuels biomarqueurs) de la maladie et un effet clinique significatif de ralentissement de cette dernière. L'utilisation d'outils d'évaluation clinique et notamment cognitifs demeure donc une nécessité absolue. Or, si le recul du temps a permis de déterminer les outils les plus efficients pour le diagnostic d'une MA à un stade de démence avérée, il n'en est probablement pas de même pour l'évaluation au stade prodromique, qu'il s'agisse d'une évaluation à visée diagnostique ou d'une évaluation à visée de suivi thérapeutique. L'échec de nombreuses études pharmacologiques récentes peut certainement être interprété, au moins partiellement, à la lumière d'une inadéquation des outils choisis. Ce chapitre propose une réflexion critique sur les outils neuropsychologiques proposés dans ce cadre. Une des difficultés majeures, on le verra, est issue du cadre conceptuel et nosologique qui a été utilisé pour une majorité d'études, à savoir le Mild Cognitive Impairment (MCI

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Neuropsychological profiles in MCI and in depression: Differential cognitive dysfunction patterns or similar final common pathway disorder?

Cited by 35 publications

References 59 publications

Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants

Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants

The Relationship Between Mild Cognitive Impairment and Mood in Older People

Évaluation neuropsychologique à la phase prodromique

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