Análisis de datos elecroencefalográficos de recuperación en pacientes con traumatismo craneoencefálico leve
The present research aims to analyze the relationship between the presence of post-concussion symptoms and the decrease in event-related potentials (ERPs). Literature has already described the relation between these factors but only in group analysis. Unlike these, this work pretends to study indivi...
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| Format: | master thesis |
| Status: | Versión aceptada para publicación |
| Publication Date: | 2022 |
| Country: | México |
| Institution: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repository: | Repositorio Institucional del INAOE |
| Language: | Spanish |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/2334 |
| Online Access: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2334 |
| Access Level: | Open access |
| Keyword: | info:eu-repo/classification/Inspec/Electroencefalografía info:eu-repo/classification/Inspec/Potenciales relacionados a eventos info:eu-repo/classification/Inspec/Traumatismo craneoencefálico leve info:eu-repo/classification/Inspec/Síndrome posconmocional info:eu-repo/classification/cti/3 info:eu-repo/classification/cti/32 info:eu-repo/classification/cti/2411 |
| Summary: | The present research aims to analyze the relationship between the presence of post-concussion symptoms and the decrease in event-related potentials (ERPs). Literature has already described the relation between these factors but only in group analysis. Unlike these, this work pretends to study individual data to assess the usage of ERPs to detect cognitive impairment caused by post-concussion syndrome. This study used a data set composed of 72 participants belonging to 3 main groups: mild traumatic brain injury (mTBI)(n = 27), control (n = 22) and chronic mTBI (n = 23); to whom different symptom tests (PROMIS, FrSBe, NSI and BDI) and a event-related potential (ERP) test were applied, in two sessions (3-14 days and 3 months after mTBI). The first step in the data analysis was processing the EEG signals in order to identify P3a and P3b peaks. Then, the ERPs group distributions were compared with each other looking for statistically significant differences (p < 0.05). To study the individual results of group mTBI, different methods were applied: comparing results (two and three PROMIS symptoms) and machine learning classification models. In order to compare results, the control group was subjected to the same process. In addition, other postconcusive-syndrome-related factors were analyzed, such as the relationship between FrSBe, NSI and BDI with the ERP results. In the group analysis, no statistically significant differences between distributions were found, which is why a group analysis is discarded to confirm or deny cognitive impairment as a symptom of PCS or mTBI. In the study of individual results, the results did not showed higher accuracies than 74.1%, in addition, it was found that the methods got a high specificity (up to 0.882), which could be interpreted as that it is not complicated for the methodology to identify subjects without cognitive impairment, actually, the results vary significantly on groups that do show symptoms. |
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