P2‐139: Central Auditory Processing and Imaging Biomarkers of Alzheimer's Dementia
Notice bibliographique
Résumé
To find interventions that may prevent Alzheimer's disease (AD) dementia, one needs markers that can track the progression of the disease in its pre-symptomatic stages. Central Auditory Processing (CAP), i.e., the cognitive interpretation of auditory stimuli, is impaired in dementia and MCI, and has been shown in individuals at risk to predict later development of AD dementia (Gates, 2011). Recently, CAP deficits have also been shown to identify responders to donepezil treatment (Ouchi, 2015). Previously, we reported a relationship of CAP to age and genetic risk. We now report studies on the relationship between CAP and imaging markers of pre-symptomatic AD. Over 200 participants in the PREVENT-AD cohort of asymptomatic persons with a parental history of AD completed the Synthetic Sentence Identification with Ipsilateral Competing Message (SSI-ICM) task, a measure of speech comprehension with background noise. We explored whole brain cortical thickness in 148 of these subjects using CIVET 1.12 (Lerch, 2005). SurfStat was used to correct for multiple comparisons using Random Field Theory with p <0.05. We extracted temporal gyrus functional connectivity with regions of interest selected a priori using NIAK (Bellec, 2011). After controlling for age, cortical thickness analyses revealed association of SSI-ICM performance with thickness of rostral mid frontal cortex (rMFC) and the pars orbitalis (PO). In subjects who had a successful tone test (n= 43), we found decreased resting state connectivity between the temporal gyri (TG) and dorsomedial prefrontal cortex (dMPFC) in persons with reduced performance on the SSI-ICM (age-corrected partial correlations r= 0.345 for left and r= 0.313 for right, p <0.05 for both). We also found a correlation between decreased connectivity of the left TG and posterior cingulate cortex (PCC), and lower SSI-ICM scores (r= 0.328, p <0.05). Tests of central auditory processing appear to correlate with the thickness of several cortical structures, and with resting state connectivity between areas implicated in auditory scene analysis and speech processing. These areas are commonly affected by AD pathology, suggesting that CAP dysfunction may serve as an indicator of AD progression in pre-symptomatic disease. Analysis for whole brain cortical thickness shows positive correlations, after correction for age, between SSI-ICM scores and cortical thickness of the rostral mid frontal cortex and pars orbitalis (both indicated in blue). Random Field Theory was used to correct for multiple comparisons (at p< 0.05). Data are shown for the analysis of 148 participants. SSI-ICM scores correlate with connectivity between the left temporal gyrus and dorsomedial prefrontal cortex. Data are shown for 43 participants who passed a hearing screening. Adjusting for age, r= 0.345 and p= 0.025. SSI-ICM scores correlate with connectivity between the right temporal gyrus and dorsomedial prefrontal cortex. Data are shown for 43 participants who passed a hearing screening. Adjusting for age, r= 0.313 and p= 0.044. SSI-ICM scores correlate with connectivity between the left temporal gyrus and posterior cingulate cortex. Data are shown for 43 participants who passed a hearing screening. Adjusting for age, r= 0.328 and p= 0.034.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 tête enseignante, 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 ».