ESS - TBIO - Posters apresentados em eventos científicos
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Browsing ESS - TBIO - Posters apresentados em eventos científicos by Author "Borges, Daniel Filipe"
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- Ictal and interictal source connectivity during gelastic seizures in a focal cortical dysplasia of the cingulate gyrusPublication . Borges, Daniel Filipe; Dias, Daniela; Cordeiro, Helena; Leal, AlbertoGelastic seizures are rare manifestations of epilepsy often associated with hypothalamic hamartomas (HH). In the absence of HH, localization of the origin is more difficult and there are several less well-established possibilities. Non-invasive assessment is often complicated by the deep localization of the epileptogenic area and the complex dynamics of spike activity. Robust neurophysiologic methods and careful validation of intrinsically epileptogenic lesions detected by RM can improve the validity of scalp EEG analysis. To analyze the dynamics of epileptic activity in gelastic seizures associated with cortical dysplasia. A 26-year-old girl with daily refractory gelastic seizures since the age of 6 underwent a neurophysiological assessment with long-term EEG recordings (24h, 31 channels) and an MRI of the brain. She had previously been rejected in an epilepsy surgery program because no structural brain lesion had been found and the EEG information was not informative enough. A recent 3T MRI showed cortical dysplasia in the cingulate gyrus, which was highly suspicious as an epileptogenic focus. We analyzed the 31-channel EEG (ictal and interictal) using source and functional connectivity methods to obtain a solid computer model of the origin and dynamics of epileptic activity and correlate it with the anatomical information of the MRI. Source analysis of interictal activity revealed multiple sources that dominated at different time points, indicating considerable dynamics that prevented clear source identification. The ictal recordings demonstrated barely late rhythmic activity over the frontal areas, but no early focalization. Connectivity analysis, which revealed the flow of information between cortical sources, showed a consistent origin of epileptic activity in the vicinity of cortical dysplasia for both interictal and ictal activity. EEG connectivity analysis significantly improves the performance of non-invasive methods for determining intracranial dynamics of epileptic activity and correlation with structural lesions.
- The effects of 24-hour sleep deprivation on the human brain: a multimodal neurophysiological approachPublication . Gonçalves, Alice; Pinto, Sara; Ferreira, Simão; Borges, Daniel FilipeIntroduction: Sleep is an important aspect of human health and well-being and influences various physiological and cognitive functions such as learning and attention. On the other hand, sleep deprivation activates the sympathetic nervous system, negatively impacting blood pressure, heart rate, glucose metabolism, cortisol, and hormones. It alters mood, behaviour, and reduces awareness leading to a poor performance, hence the importance of studying the neurophysiological and neurocognitive effects of 24h sleep deprivation. Objective: Our main goal is to investigate the effects of acute sleep deprivation on the cerebral cortex in healthy university students using a multimodal approach and neurocognitive scales. Methods: This study will use a magnetic stimulator to assess neurophysiological changes, while actigraphy will verify sleep deprivation in the intervention group. Neuropsychological assessments include the Trail Making Test (TMT), measuring visual processing speed and cognitive flexibility, the Psychomotor Vigilance Task (PVT), assessing sustained attention through reaction times to unpredictable stimuli and N-Back test measuring working memory by requiring participants to recall objects presented a few steps earlier. EEG data will be recorded using a cap with 32 channels during. This integrated approach provides a comprehensive analysis of the effects of sleep deprivation on cognitive and neurophysiological functions. Expected Results: Hypothetically, there will be a significant decline in cognitive performance, with impairments in key areas such as visual attention, processing speed and cognitive flexibility. These results will likely manifest in longer reaction times, more frequent errors and overall lower task execution.
- Wearable sleep staging technology as an alternative to polysomnography: a systematic review and meta-analysisPublication . Borges, Maria; Pereira, Telmo; Borges, Daniel Filipe; Soares, Joana IsabelIntroduction:Sleep is vital for health as it has regenerative and protective functions. During sleep, there is a cyclicity of different phases that are analysed and classified for clinical purposes using polysomnography (PSG), a costly and technically demanding method. The tremendous growth of sleep medicine, where demand for studies far outstrips supply, opens a window for the development of accurate, low-threshold sleep monitoring solutions that can be self-administered at home and could help avoid these issues of convenience, accessibility and reproducibility. Objective:This study aims to analyse the existing literature on the feasibility of wearable devices as an alternative to PSG for the classification of sleep stages. Methods: The literature search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). All studies published in English or Portuguese with healthy adults who used wearables to record sleep were included. A meta-analysis was also performed to assess the mean values of the sleep metrics: total sleep time (TST), sleep latency (SL) and wake after sleep onset (WASO), all in minutes and time per stage (in minutes and as relative frequency of TST), as well as sleep efficiency (SE) (in %) and the corresponding statistics between the wearables used and the PSG. Results: Given the high variability of wearables, the analysed metrics whose values were closest to the PSG came from different devices. Nevertheless, the meta-analysis revealed that most wearables tend to overestimate these variables Conclusions: The performance of wearables demonstrates remarkable accuracy in sleep staging, rivalling the gold standard PSG in some variables while providing a more convenient and unobtrusive alternative. This review enriches our global knowledge of sleep measurement and summarizes the limitations that need to be overcome, as informed decision making depends on understanding the different device options, validation contexts and cost implications.