EEG spectral power during REM sleep in patients with frontal brain tumor
Abstract Background The main objective of this research was to analyze the characteristics of electrical activity in the brain during REM (Rapid Eye Movements) sleep, by using an experimental model a pathology that affects the frontal lobes, such as brain tumors. In addition to determining the impac...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-05-01
|
| Series: | BMC Neurology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12883-023-03243-1 |
| _version_ | 1797822847365677056 |
|---|---|
| author | Laura Victoria Ortega-Leonard Yolanda del Río-Portilla |
| author_facet | Laura Victoria Ortega-Leonard Yolanda del Río-Portilla |
| author_sort | Laura Victoria Ortega-Leonard |
| collection | DOAJ |
| description | Abstract Background The main objective of this research was to analyze the characteristics of electrical activity in the brain during REM (Rapid Eye Movements) sleep, by using an experimental model a pathology that affects the frontal lobes, such as brain tumors. In addition to determining the impact of variables such as the frontal area (dorsolateral, medial and orbital), laterality and size of the lesion; as well as the demographic and clinical characteristics of the patients evaluated. Methods By using polysomnographic recordings, 10 patients were evaluated. We obtained power spectra through a homemade program. For quantitative EEG (Electroencephalogram) (qEEG) analysis, the Fast Fourier Transform (FFT) algorithm was used to obtain the spectral power of each participant, channel, and frequency band. Results Sleep architecture and spectral power was found to be modified in patients compared to normative values. Other sociodemographic and clinical characteristics of the patients were also influenced, such as age range and antiepileptic drugs. Conclusions Brain tumors in the frontal lobe can modify the rhythmogenesis of REM sleep, possibly due to changes of brain plasticity as an effect of the pathology. In addition to this, through this study we were able to show the association between neuroanatomical and functional changes, on the characteristics of brain electrical activity in patients with frontal brain tumor. Finally, this qEEG analysis technique allows, on the one hand, to deepen the knowledge and relationship between psychophysiological processes and, on the other hand, to be able to guide therapeutic decisions. |
| first_indexed | 2024-03-13T10:15:21Z |
| format | Article |
| id | doaj.art-faa59831bde74d219886425bf1778f41 |
| institution | Directory Open Access Journal |
| issn | 1471-2377 |
| language | English |
| last_indexed | 2024-03-13T10:15:21Z |
| publishDate | 2023-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Neurology |
| spelling | doaj.art-faa59831bde74d219886425bf1778f412023-05-21T11:19:29ZengBMCBMC Neurology1471-23772023-05-012311710.1186/s12883-023-03243-1EEG spectral power during REM sleep in patients with frontal brain tumorLaura Victoria Ortega-Leonard0Yolanda del Río-Portilla1Laboratorio de Sueño, Facultad de Psicología, Universidad Nacional Autónoma de México (UNAM)Laboratorio de Sueño, Facultad de Psicología, Universidad Nacional Autónoma de México (UNAM)Abstract Background The main objective of this research was to analyze the characteristics of electrical activity in the brain during REM (Rapid Eye Movements) sleep, by using an experimental model a pathology that affects the frontal lobes, such as brain tumors. In addition to determining the impact of variables such as the frontal area (dorsolateral, medial and orbital), laterality and size of the lesion; as well as the demographic and clinical characteristics of the patients evaluated. Methods By using polysomnographic recordings, 10 patients were evaluated. We obtained power spectra through a homemade program. For quantitative EEG (Electroencephalogram) (qEEG) analysis, the Fast Fourier Transform (FFT) algorithm was used to obtain the spectral power of each participant, channel, and frequency band. Results Sleep architecture and spectral power was found to be modified in patients compared to normative values. Other sociodemographic and clinical characteristics of the patients were also influenced, such as age range and antiepileptic drugs. Conclusions Brain tumors in the frontal lobe can modify the rhythmogenesis of REM sleep, possibly due to changes of brain plasticity as an effect of the pathology. In addition to this, through this study we were able to show the association between neuroanatomical and functional changes, on the characteristics of brain electrical activity in patients with frontal brain tumor. Finally, this qEEG analysis technique allows, on the one hand, to deepen the knowledge and relationship between psychophysiological processes and, on the other hand, to be able to guide therapeutic decisions.https://doi.org/10.1186/s12883-023-03243-1REM sleepEEG spectral powerFrontal lobeBrain tumors |
| spellingShingle | Laura Victoria Ortega-Leonard Yolanda del Río-Portilla EEG spectral power during REM sleep in patients with frontal brain tumor BMC Neurology REM sleep EEG spectral power Frontal lobe Brain tumors |
| title | EEG spectral power during REM sleep in patients with frontal brain tumor |
| title_full | EEG spectral power during REM sleep in patients with frontal brain tumor |
| title_fullStr | EEG spectral power during REM sleep in patients with frontal brain tumor |
| title_full_unstemmed | EEG spectral power during REM sleep in patients with frontal brain tumor |
| title_short | EEG spectral power during REM sleep in patients with frontal brain tumor |
| title_sort | eeg spectral power during rem sleep in patients with frontal brain tumor |
| topic | REM sleep EEG spectral power Frontal lobe Brain tumors |
| url | https://doi.org/10.1186/s12883-023-03243-1 |
| work_keys_str_mv | AT lauravictoriaortegaleonard eegspectralpowerduringremsleepinpatientswithfrontalbraintumor AT yolandadelrioportilla eegspectralpowerduringremsleepinpatientswithfrontalbraintumor |