Application of electrovestibulography on post-concussion syndrome: diagnosis and monitoring
Notice bibliographique
Résumé
Following a mild Traumatic Brain Injury (mTBI), there can be neuropathological changes in the brain resulting in permanent or transient neurological symptoms and signs of a functional disturbance. The persistence of these symptoms for more than one month is usually referred to as Post-Concussion Syndrome (PCS). PCS severity usually increases when comorbid depression exists. Moreover, the diagnosis of PCS might be overlooked in favour of a diagnosis of depression due to the overlap in the symptoms of the two pathologies. This study, for the first time, presents staged research to evaluate a novel technology, called Electrovestibulography (EVestG), that holds the potential to objectively and cost-effectively be utilized as an assistive tool to diagnose PCS, its comorbid depression and quantitatively measure the recovery from PCS and its sequelae following a treatment. In the first stage of this research, two EVestG features were extracted from the recorded signals to distinguish PCS from age and gender-matched healthy controls. These two features resulted in an unbiased classification accuracy of 84% and 79% for separating healthy controls from PCS sufferers and for separating long (>3 months) and short-term (<3 months) PCS sufferers, respectively. Secondly, it was shown that the calculated accuracy for separating PCS from healthy controls can be affected when comorbid depression exists. By adding an EVestG depression-specific feature from a previous study, the calculated accuracy was improved from 83% to >90% for those with moderate/severe depression. Then, it was shown EVestG features could monitor recovery following repetitive Transcranial Magnetic Stimulation (rTMS) treatment for PCS with and without comorbid depression. Additionally, the EVestG features used have shown the potential to robustly detect and monitor changes, relatively independently, in both persistent PCS and in depression when comorbid PCS-depression present. Finally, the effect of mTBI on other sensory systems, in particular, that closely linked visual system was examined. Given the prevalence of convergence insufficiency (CI) among the mTBI population, as well as the link between the vestibular and oculomotor system, the effect of the mTBI on the CI was investigated and found to be significantly correlated with the EVestG features and PCS clinical assessment.
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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 | 0,001 | 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) | 0,000 | 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 ».