Ictal respiratory disturbances have increasingly been reported, in both generalized and focal seizures, especially involving the temporal lobe. Recognition of ictal breathing impairment has gained importance for the risk of sudden unexpected death in epilepsy (SUDEP). The aim of this study was to evaluate the incidence of ictal apnea (IA) and related hypoxemia during seizures.
We collected and analyzed electroclinical data from consecutive patients undergoing long-term video-electroencephalographic (video-EEG) monitoring with cardiorespiratory polygraphy. Patients were recruited at the epilepsy monitoring unit of the Civil Hospital of Baggiovara, Modena Academic Hospital, from April 2020 to February 2022.
A total of 552 seizures were recorded in 63 patients. IA was observed in 57 of 552 (10.3%) seizures in 16 of 63 (25.4%) patients. Thirteen (81.2%) patients had focal seizures, and 11 of 16 patients showing IA had a diagnosis of temporal lobe epilepsy; two had a diagnosis of frontal lobe epilepsy and three of epileptic encephalopathy. Apnea agnosia was reported in all seizure types. Hypoxemia was observed in 25 of 57 (43.9%) seizures with IA, and the severity of hypoxemia was related to apnea duration. Apnea duration was significantly associated with epilepsy of unknown etiology (magnetic resonance imaging negative) and with older age at epilepsy onset (p < 0.001).
Ictal respiratory changes are a frequent clinical phenomenon, more likely to occur in focal epilepsies, although detected even in patients with epileptic encephalopathy. Our findings emphasize the need for respiratory polygraphy during long-term video-EEG monitoring for diagnostic and prognostic purposes, as well as in relation to the potential link of ictal apnea with the SUDEP risk.

UNASSIGNED: Central apnea (CA) events always can be seen in the polysomnographic (PSG) reports of children with obstructive sleep apnea (OSA), and sometimes the central apnea index (CAI) is higher than the obstructive apnea and hypopnea index (OAHI). Commonly, the clinicians only attribute it to the age. This study aims to elucidate the distribution characteristics and major factors associated with CA in pediatric OSA.
UNASSIGNED: A retrospective chart review of PSG data of children with OSA from January 2017 to March 2018 was performed.
UNASSIGNED: 856 children (317 girls and 539 boys, 4.9 ± 2.4 years) were involved. 50.1% (429/856) had a CAI > 1, and 2.9% (25/856) had a CAI >5. Children with a CAI >1 had a higher OAHI, arousal index (AI), oxygen desaturation index (ODI), and a longer REM period, but a younger age and a shorter slow-wave sleep (SWS) phase. Multivariate binary logistic regression showed that with a 1% increased REM period, the risk of the CAI being >1 increased by 5.3% (p < 0.001). The CAI increased with an increasing OAHI (p = 0.003). The possibility of a CAI ≤ 1 increased with age (p < 0.001), and boys were more likely to have a CAI ≤ 1 (p = 0.001).
UNASSIGNED: In addition to obstructive apnea (OA), almost all children with OSA also had CA, and a CAI > 1 was most likely to occur. The OAHI and REM period were risk factors for an increased CAI, and age and male sex were protective factors.

Central apnea is a major cause of death in neonates with trisomy 18 (T18) and is likely due to immaturity of the respiratory drive, similar to the pathological mechanism in apnea of prematurity. Although caffeine has long been used for apnea of prematurity, its use has not yet been reported for infants with T18. Here we describe an infant with T18 receiving comfort-focused care and palliative transport home. Of utmost importance to her family was enabling the patient to spend time at home before her death. However, immediately before transport, she developed severe central apnea, raising concern that she may not survive the transfer. Caffeine was trialed in the hopes of reducing central apnea events. Its use was successful and facilitated safe transport, allowing the patient to uneventfully transition home, where she spent several meaningful weeks with her family before her death.

Sleep apnea is a respiratory disorder characterized by an intermittent reduction (hypopnea) or cessation (apnea) of breathing during sleep. Depending on the presence of a breathing effort, sleep apnea is divided into obstructive sleep apnea (OSA) and central sleep apnea (CSA) based on the different pathologies involved. If the majority of apneas in a person are obstructive, they will be diagnosed as OSA or otherwise as CSA. In addition, as it is challenging and highly controversial to divide hypopneas into central or obstructive, the decision about sleep apnea type (OSA vs CSA) is made based on apneas only. Choosing the appropriate treatment relies on distinguishing between obstructive apnea (OA) and central apnea (CA).
The objective of this study was to develop a noncontact method to distinguish between OAs and CAs.
Five different computer vision-based algorithms were used to process infrared (IR) video data to track and analyze body movements to differentiate different types of apnea (OA vs CA). In the first two methods, supervised classifiers were trained to process optical flow information. In the remaining three methods, a convolutional neural network (CNN) was designed to extract distinctive features from optical flow and to distinguish OA from CA.
Overnight sleeping data of 42 participants (mean age 53, SD 15 years; mean BMI 30, SD 7 kg/m2; 27 men and 15 women; mean number of OA 16, SD 30; mean number of CA 3, SD 7; mean apnea-hypopnea index 27, SD 31 events/hour; mean sleep duration 5 hours, SD 1 hour) were collected for this study. The test and train data were recorded in two separate laboratory rooms. The best-performing model (3D-CNN) obtained 95% accuracy and an F1 score of 89% in differentiating OA vs CA.
In this study, the first vision-based method was developed that differentiates apnea types (OA vs CA). The developed algorithm tracks and analyses chest and abdominal movements captured via an IR video camera. Unlike previously developed approaches, this method does not require any attachment to a user that could potentially alter the sleeping condition.

Sleep-disordered breathing (SDB) is a highly prevalent condition affecting 2% to 4% of children. However, the prevalence and characteristics of SDB in children younger than 2 years and the effect of prematurity as a risk factor remains unclear.
Children younger than 24 months referred for PSG at two medical centers between the years 2014 to 2018 were included in this retrospective analysis. We excluded children with genetic syndromes. Polysomnography (PSG) was performed and scored according to American Academy of Sleep Medicine guidelines.
Ninety-eight children were included (age 14.1 ± 6.4 [2-23] months), with 31 born prematurely (PRETERM; 24 to 34 weeks gestational age). PRETERM had increased odds of SDB (age and sex adjusted), using a cutoff of AHI ≥ 5 events/h with an odds ratio of 4.3 (95% confidence interval 1.5-12.9). Gestational age was the only significant predictor for SDB in this cohort, every additional week of gestation reducing the odds of SDB by 12.5%. PRETERM SDB was also characterized by more severe nocturnal hypoxemia, increased frequency of central apnea, and altered sleep architecture.
Current findings underscore the importance of prematurity antecedents as a risk factor for SDB in young symptomatic children younger than 2 years referred for a PSG. Future studies focused on improved estimates of the prevalence of SDB among nonreferral young children appear warranted.

BACKGROUND: Bilateral paramedian thalamic stroke is characterized by hypersomnia, vertical gaze palsy, amnestic alteration, and apathic state. Combined lesion of the paramedian thalamus and mesencephalon bilaterally is extremely rare. Little is known about the breathing disturbances of the particular region due to the lesion. The following describes the specific case of a woman, age 62, with bilateral paramedian thalamic and mesencephalic stroke. Initially, the patient\'s complaints exhibited altered vigilance and vertical gaze palsy. Notably, following the acute phase, fluctuating hypersomnia was detected. The MRI (brain) revealed an ischemic lesion in the medial part of the mesencephalon and paramedian thalamus, bilaterally.
OBJECTIVE: The aim of the present study is to elucidate the involvement and characteristics of sleep-related breathing abnormalities in the clinical manifestation of the combined paramedian thalamic and mesencephalic stroke.
METHODS: Polysomnographic recordings were accomplished seven times with 1-week interval between the consecutive recordings, toward investigating the early changes of sleep and sleep-related breathing abnormalities.
RESULTS: Sleep structure examination featured a decrease in N3 and REM ratio and an increase in N1 and N2 ratio with minimal improvement during the recovery period. In contrast, significant changes were found in the breathing pattern: the initial central apnea dominance was followed by obstructive apneas with a gradual decrease of the total pathological respiratory events.
CONCLUSIONS: In addition to the structural abnormality of the sleep regulating network, sleep-disordered breathing is another possible cause of hypersomnia in patients afflicted with the present localization of the lesion.