Articulation as a Predictor of Cognitive Decline
Notice bibliographique
Résumé
Background: Speech production is facilitated by motor neural networks that are proximal to neural substrates of general cognitive functions in the frontal lobe. However, the precise relationship between these brain networks supporting articulatory control and more general cognitive functioning has not been determined. A relation may be expected due to the anatomical proximity of specific networks, or due to more global aspects of brain health in individuals, affecting cognitive and motor functions across the board. Lower motor function is expected to affect the stability of speech production, but the extent to which this is also associated with lower cognitive functioning remains unclear. If a strong relation exists, sensitive measures of speech motor control could be used for early detection or prediction of cognitive decline in healthy aging adults. Aims: The aims of this study were to assess to what extent cognitive function is predicted by (1) articulatory stability and (2) fine and gross non-speech motor control. Methods & Procedures: Vowel formant data were collected from a word-reading task in 170 healthy adults ages 20-80. The first three formants were extracted from monosyllabic target word utterances and used to compute each participant’s formant variance. Cognition was measured with the Montreal Cognitive Assessment (MoCA). Non-speech motor control was assessed through peg dexterity (fine control), grip strength (fine and gross), and 4-meter walking stability (gross control). A stepwise linear regression model was used to determine relations between cognitive and motor assessment scores and vowel production variance, accounting for effects of age, sex, race, socio-economic status, and education. Outcomes & Results: The final regression model was statistically significant, F(6, 163) = 18.23, p< .001, with an R2 of 0.4016, indicating that approximately 40.16% of the variance in the MoCA total score can be explained by the model. Lower cognitive ability was significantly predicted by variance in the second formant (ß = -0.28, t(163) = -2.42, p = .016), suggesting that articulatory instability is linked to cognitive function. Additionally, a non-significant trend was observed for peg dexterity (ß = 0.11, t(163) = 1.80, p = .073), indicating that individuals with lower fine motor control may also show lower cognitive scores. Gross motor abilities, however, showed no associations with cognition. Conclusions: These findings provide evidence of a relation between cognitive function and speech production, particularly in relation to articulatory precision. The observed weaker link between fine motor dexterity and cognition suggests a more general relation between cognition and fine motor control. The strong association between vowel variability and cognitive performance suggests that sensitive and fine-grained speech-based measures, such as vowel formant dispersion, may be useful for the early detection of subtle cognitive decline in healthy adults.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».