Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study
Purpose: This study aims to describe the total EEG energy during episodes of intracranial hypertension (IH) and evaluate its potential as a classification feature for IH. New methods: We computed the sample correlation coefficient between intracranial pressure (ICP) and the total EEG energy. Additio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024045754 |
| _version_ | 1797220513136771072 |
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| author | Fernando Pose Carlos Videla Giovanni Campanini Nicolas Ciarrocchi Francisco O. Redelico |
| author_facet | Fernando Pose Carlos Videla Giovanni Campanini Nicolas Ciarrocchi Francisco O. Redelico |
| author_sort | Fernando Pose |
| collection | DOAJ |
| description | Purpose: This study aims to describe the total EEG energy during episodes of intracranial hypertension (IH) and evaluate its potential as a classification feature for IH. New methods: We computed the sample correlation coefficient between intracranial pressure (ICP) and the total EEG energy. Additionally, a generalized additive model was employed to assess the relationship between arterial blood pressure (ABP), total EEG energy, and the odds of IH. Results: The median sample cross-correlation between total EEG energy and ICP was 0.7, and for cerebral perfusion pressure (CPP) was 0.55. Moreover, the proposed model exhibited an accuracy of 0.70, sensitivity of 0.53, specificity of 0.79, precision of 0.54, F1-score of 0.54, and an AUC of 0.7. Comparison with existing methods: The only existing comparable methods, up to our knowledge, use 13 variables as predictor of IH, our model uses only 3, our model, as it is an extension of the generalized model is interpretable and it achieves the same performance. Conclusion: These findings hold promise for the advancement of multimodal monitoring systems in neurocritical care and the development of a non-invasive ICP monitoring tool, particularly in resource-constrained environments. |
| first_indexed | 2024-04-24T12:50:44Z |
| format | Article |
| id | doaj.art-150965012bae4db3938eeb213442bab2 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T12:50:44Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-150965012bae4db3938eeb213442bab22024-04-06T04:40:06ZengElsevierHeliyon2405-84402024-04-01107e28544Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot studyFernando Pose0Carlos Videla1Giovanni Campanini2Nicolas Ciarrocchi3Francisco O. Redelico4Instituto de Medicina Translacional e Ingeniería Biomédica, CONICET-Hospital Italiano de Buenos Aires - Instituto Universitario del Hospital Italiano de Buenos Aires, Potosi 4265, Buenos Aires, C1199ACL, ArgentinaServicio de Terapia Intensiva de Adultos, Hospital Italiano de Buenos Aires, Tte. Gral. Juan Domingo Perón 4190, Buenos Aires, C1199ACL, ArgentinaInstituto de Medicina Translacional e Ingeniería Biomédica, CONICET-Hospital Italiano de Buenos Aires - Instituto Universitario del Hospital Italiano de Buenos Aires, Potosi 4265, Buenos Aires, C1199ACL, ArgentinaServicio de Terapia Intensiva de Adultos, Hospital Italiano de Buenos Aires, Tte. Gral. Juan Domingo Perón 4190, Buenos Aires, C1199ACL, ArgentinaInstituto de Medicina Translacional e Ingeniería Biomédica, CONICET-Hospital Italiano de Buenos Aires - Instituto Universitario del Hospital Italiano de Buenos Aires, Potosi 4265, Buenos Aires, C1199ACL, Argentina; Departamento de Ciencia y Tecnologia, Universidad Nacional de Quilmes, Roque Sáenz Peña 352, Bernal, Pcia de Buenos Aires, B1876BXD, Argentina; Corresponding author at: Instituto de Medicina Translacional e Ingeniería Biomédica, CONICET-Hospital Italiano de Buenos Aires - Instituto Universitario del Hospital Italiano de Buenos Aires, Potosi 4265, Buenos Aires, C1199ACL, Argentina.Purpose: This study aims to describe the total EEG energy during episodes of intracranial hypertension (IH) and evaluate its potential as a classification feature for IH. New methods: We computed the sample correlation coefficient between intracranial pressure (ICP) and the total EEG energy. Additionally, a generalized additive model was employed to assess the relationship between arterial blood pressure (ABP), total EEG energy, and the odds of IH. Results: The median sample cross-correlation between total EEG energy and ICP was 0.7, and for cerebral perfusion pressure (CPP) was 0.55. Moreover, the proposed model exhibited an accuracy of 0.70, sensitivity of 0.53, specificity of 0.79, precision of 0.54, F1-score of 0.54, and an AUC of 0.7. Comparison with existing methods: The only existing comparable methods, up to our knowledge, use 13 variables as predictor of IH, our model uses only 3, our model, as it is an extension of the generalized model is interpretable and it achieves the same performance. Conclusion: These findings hold promise for the advancement of multimodal monitoring systems in neurocritical care and the development of a non-invasive ICP monitoring tool, particularly in resource-constrained environments.http://www.sciencedirect.com/science/article/pii/S2405844024045754EEGIntracranial pressure monitoringIntracranial hypertensionAdditive generalized model |
| spellingShingle | Fernando Pose Carlos Videla Giovanni Campanini Nicolas Ciarrocchi Francisco O. Redelico Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study Heliyon EEG Intracranial pressure monitoring Intracranial hypertension Additive generalized model |
| title | Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study |
| title_full | Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study |
| title_fullStr | Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study |
| title_full_unstemmed | Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study |
| title_short | Using EEG total energy as a noninvasively tracking of intracranial (and cerebral perfussion) pressure in an animal model: A pilot study |
| title_sort | using eeg total energy as a noninvasively tracking of intracranial and cerebral perfussion pressure in an animal model a pilot study |
| topic | EEG Intracranial pressure monitoring Intracranial hypertension Additive generalized model |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024045754 |
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