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Enregistrement W165538674 · doi:10.1177/070674370805300601

Memory Changes in Normal and Pathological Aging

2008· editorial· en· W165538674 sur OpenAlexaffvenue
Fergus I. M. Craik

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2008
Typeeditorial
Langueen
DomaineMedicine
ThématiqueDementia and Cognitive Impairment Research
Établissements canadiensBaycrest Hospital
Organismes subventionnairesnon disponible
Mots-clésPsychologyPerspective (graphical)Episodic memoryCognitive psychologyCognitionAutobiographical memoryCognitive declineChildhood memoryMemory errorsNeuropsychologyCognitive agingPathologicalDevelopmental psychologyDiseaseRecallDementiaNeuroscienceMedicine

Résumé

récupéré en direct d'OpenAlex

Declining memory abilities are reported by virtually all older adults and give rise to the greatest number of complaints about aging in older people. The important questions that arise clinically concern the differences between the so-called benign memory losses of healthy aging and the pathological losses associated with Alzheimer disease and other dementias. Also arising are questions such as to what extent can memory loss be used as a diagnostic tool, and (crucially) can anything be done about it? The 2 In Review articles survey what is known about age-related memory changes: first from the point of view of cognitive psychologists Dr Lin Luo and myself,1 and second from the perspective of a clinical neuropsychologist Dr Lars Backman.2 When does memory decline begin? A rather general answer could be that most people report some problems from their early sixties; however, a study by Park et al3 showed that some memory functions decline as early as the thirties. Two important points in this connection are first that memory is not one monolithic entity, and second that (paradoxically perhaps) memory is also intimately related to other cognitive functions. On the first point, the article by Dr Luo and myself1 describes ideas and evidence from cognitive psychology suggesting that there are at least 5 major memory systems, and that these systems show very different rates of decline in the course of aging. Episodic memory (for specific events) and working memory (for information held and manipulated in conscious awareness) typically fall off relatively rapidly, whereas memory for perceptual information, for highly practiced habits and procedures, and for general knowledge (semantic memory) hold up relatively well. The reasons behind these differential patterns of age-related losses are still under active debate; however, 2 suggestions at the cognitive level of analysis are that age-related problems are found especially in situations requiring large amounts of self-initiated processing and where access to highly specific information is required. The notion of self-initiated processing4 describes cognitive operations that are neither habitual nor well supported by the environmental context; rather, they must be initiated and performed in a conscious, effortful manner, often using new processing operations directed at the specific task. Such operations are typically considered to be frontal lobe functions, and the frontal lobes are known to decline in efficiency in the course of aging.5 Older people are also penalized when the information sought from memory is highly specific in nature-proper names are an obvious example, but specific episodes from the individual's autobiographical past are another. Older people are relatively unimpaired when retrieving general information about a topic, but do less well when specifics are required. One suggestion here is that knowledge is represented and organized hierarchically, with general commonalities easily accessible at the top, and increasingly specific pieces of information that are less easy to access at the bottom of the hierarchy.6 The point that memory is related to other cognitive functions is in line with Dr Backman's2 observation that other cognitive abilities such as attention, executive control, learning, and problem-solving also decline in the course of both normal and pathological aging. To some extent this general cognitive decline may reflect the growing inefficiency of general neurophysiological systems-blood supply, neural connectivity, dopamine depletion, poor glucose metabolism, and so forth-but it is also the case that memory integrity both affects and is affected by other cognitive abilities. Brief examples include: attention-paying attention, especially to the meaning and implication of perceived events, is an obvious prerequisite for subsequent memory performance; memory operations involving elaboration and organization are also crucial for good long-term learning; finally, good working memory abilities reflect good executive control functions (frontal lobes again) and affect such higher-level cognitive activities as problem-solving and planning. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0000,002
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,287
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations39
Publié2008
Routes d'admission2
Résumé présentoui

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