Reduced pattern electroretinogram signal in affected patients with Leber Hereditary Optic Neuropathy
Notice bibliographique
Résumé
Abstract Purpose The pattern electroretinogram (PERG) signal has been reported to be a sensitive tool for the detection of retinal ganglion cell (RGC) dysfunction in both animal models and patients suffering from optic neuropathies. This study investigated whether functional PERG can detect different levels of RGC dysfunction in both carriers and affected patients with Leber Hereditary Optic Neuropathy (LHON). Methods PERG signals were recorded using both checkerboard (0.8° check size, 2 reversals/sec) and bars (0.5 cycles/deg) stimuli with mean luminance of 300 cd/m2 and 100% contrast. PERG signals were measured against functional full field Photopic Negative Response (PhNR) recordings (red flashes at 5 cd s/m 2 stimulus intensity on blue rod saturating background) and subjective measures of retinal sensitivity (mean deviation [MD] via 30‐2 automated visual fields) and structural metrics (both ganglion cell complex [GCC] and retinal nerve fiber layer [RNFL] thickness from optical coherence tomography [OCT] scans). Results PERG P50 amplitudes were similar across controls, carriers, and LHON affected patients. P50 implicit times were significantly reduced in LHON affected patients (CHECKS: 45.8 ± 1.1 ms; BARS: 43.5 ± 0.8 ms; n = 32) compared to controls (CHECKS: 49.3 ± 0.5 ms; BARS: 48.1 ± 0.4 ms; n = 72). N95 amplitudes elicited by the checkerboard stimulus were significantly reduced and implicit times significantly increased in LHON affected patients (−3.4 ± 0.4 µV; 93.6 ± 2.2 ms; n = 32) compared to controls (−5.9 ± 0.5 µV; 85.3 ± 0.8 ms; n = 72). No differences were seen in PERG signals between control or LHON affected patients and carriers. Although PERG parameters were significantly different in LHON affected patients, the measurements were not correlated with PhNR signals, MD and RNFL thickness in all four quadrants around the optic disc. On the other hand, PhNR amplitudes, which were significantly reduced in LHON affected (−16.3 ± 3.4 µV; n = 32) and in carriers (−21.8 ± 3.0 µV; n = 30) compared to controls (−34.2 ± 2.5 µV; n = 28), were correlated with MD (r = −0.611, p < 0.0005; n = 28), average GCC (r = −0.618, p < 0.0001; n = 32) and average RNFL thickness (r = −0.553, p < 0.001; n = 31) in affected patients. Conclusions Significant differences in PERG recordings were measured between control and LHON affected patients. However, no significant differences were seen in carriers and PERG metrics were not correlated with functional PhNR parameters and other subjective and objective measurements tested. Our results suggest that PERG may not be as sensitive as PhNR to discriminate different levels of RGC dysfunction between LHON affected patients and carriers.
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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) | 0,000 | 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.
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