Investigating the Effect of Noise Exposure on Hippocampal‐Dependent Spatial Learning and Memory in a Rat Model
Notice bibliographique
Résumé
Hearing loss is one of the most prevalent chronic health conditions worldwide, with excessive exposure to loud noise as a leading cause of hearing loss. Beyond the devastating effects of hearing impairment itself, epidemiological studies have identified hearing loss as a major risk factor for cognitive decline. Furthermore, preclinical studies on rodents have identified that the hippocampus—a brain region outside of the classical auditory pathway which subserves spatial navigation—appears to be vulnerable to noise exposure. For example, two hours of exposure to very loud noise (e.g., 123 dB sound pressure level, SPL) has been shown to cause long‐term impairment in spatial learning and memory, as well as suppress hippocampal neurogenesis (i.e., the processes by which new neurons are generated from neural stem cells in the adult brain). That said, because these past studies used noise levels that far exceed those frequently experienced by humans who work in noisy environments, it remains uncertain whether a more modest degree of hearing loss, consistent with that caused by daily, occupational noise exposure, is also problematic for normal hippocampal function. In the present study, we are using a rat model to study the effect of daily noise exposure on spatial learning, memory and hippocampal neurogenesis. Following baseline hearing testing using the auditory brainstem response (i.e., an electrophysiologically‐measured evoked potential from the brain in response to sound), 6‐month old Fischer 344 rats were exposed to 100 dB SPL white noise (or silence) for 4 hours/day for 30 days. Separate cohorts of noise‐ and sham‐exposed rats then underwent behavioral testing at 7, 10, or 13 months old using a Morris water maze (MWM) protocol to assess hippocampal‐dependent spatial acquisition learning and reference memory. After completion of the behavioral testing and post‐exposure hearing assessments, the rats were sacrificed, and their brains harvested for tissue processing. As predicted, the noise‐exposed rats had a mild degree of high‐frequency hearing loss, evidenced by a ~25 dB increase in the rats’ hearing threshold to a 20 kHz acoustic stimulus. Overall, both treatment groups demonstrated spatial acquisition learning over the 5 training days on the MWM hidden platform task; however, the noise‐exposed rats performed slightly, albeit significantly worse than the shams at 10 months of age. Moreover, in contrast to past studies that used very loud noise exposures, none of the cohorts of noise‐exposed rats in the present study were impaired during the MWM probe task; findings which identify that deficits in spatial reference memory are not an inevitable consequence of repeated exposure to sounds that cause a mild degree of hearing loss. Histological analysis of hippocampal neurogenesis is ongoing. Ultimately, given that not all individuals exposed to occupational noise suffer the same degree of hearing loss, it will be important that we correlate each rat's hearing sensitivity with its’ cognitive‐behavioral performance and extent of hippocampal neurogenesis, so as to better understand the complex relationship between noise‐induced hearing loss, cognitive impairment and neuropathology.
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».