Faculty Bibliography

BACKGROUND AND OBJECTIVES/OBJECTIVE:Severe hypoxemia after generalized convulsive seizures (GCSs) can trigger neural injury and is a potential biomarker for sudden unexpected death in epilepsy (SUDEP). Some degree of variability in interbreath interval is normal, but increased variability may suggest dysfunctional breathing control and may be associated with severe postictal hypoxemia. We evaluated the relationship between interictal breathing variability and severity and duration of hypoxemia after GCS. METHODS:nadir), and secondary outcome: occurrence of combined prolonged and pronounced hypoxemia. Univariable and multivariable models were created for primary outcomes, but only univariable analyses were performed for the secondary outcome. RESULTS:= 0.002) was the only variable significantly associated with hypoxemia severity after controlling for duration of postictal generalized EEG suppression, SD-2 of the awake interbreath interval, and body mass index. Univariable analyses for combined prolonged and pronounced hypoxemia showed SD-2 of the awake interbreath interval, temporal lobe epilepsy, ictal central apnea, and a shorter tonic phase duration were significantly associated. DISCUSSION/CONCLUSIONS:Measures of interictal respiratory variability are associated with severe and prolonged hypoxemia after GCS. Increased interictal respiratory variability suggests baseline respiratory dysregulation in some PWE and may be a surrogate for SUDEP risk.

Consumer wearable devices are commonly used by patients and consumers for several reasons with increasing application as new technologies are developed. Use of these devices is an emerging issue in Neurology because of increased adoption and the additional data reported to providers by patients. Understanding of possible functions, limitations, and effect on patients of non-US Food and Drug Administration (FDA)-cleared wearable technology to inform neurologic care is needed. A common theme in people with neurologic conditions regarding consumer wearables and associated tracking applications is that there is significant promise in these tools, but adherence (days per use/per week), continued engagement (attrition), and unintended consequences such as heightened anxiety remain important issues. Further understanding and validation of these devices is needed within the field of Neurology before full use and confidence can be achieved. Below, we provide examples of non-FDA-cleared wearable devices used in Neurology in the areas of epilepsy, headache, cardiac monitoring, and sleep.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Sudden unexpected death in epilepsy (SUDEP) is the leading cause of seizure-related deaths in people with epilepsy. Despite evidence that SUDEP counseling does not cause stress, improves treatment adherence, and empowers people with epilepsy and their caregivers, it remains underdiscussed. This study aimed to explore the in-depth perspectives of parents who have lost a child to SUDEP, focusing on their experiences, grief, and coping strategies, while factoring in their demographics, the clinical features of their deceased children, and their previous awareness of SUDEP, all aspects that have not been systematically investigated before. METHODS:This qualitative phenomenological study involved in-depth semistructured interviews with 51 parents of 43 children who died of SUDEP. Transcripts were analyzed using immersion/crystallization qualitative methodology with Dedoose software, using an iterative consensus-building process. Thematic analysis revealed common perspectives, grief narratives, coping strategies, and perceived needs among parents after their child's SUDEP. RESULTS:Of the 51 participating parents (mean age 54.1 ± 9.4 years, 71% female), 27 reported being unaware of SUDEP before it occurred, whereas 24 reported previous awareness of it. These groups shared similar demographics and clinical characteristics. However, "unaware" parents expressed more intense trauma and prolonged maladaptive grief, characterized by guilt, extreme anger, and medical distrust. By contrast, "aware" parents described mitigated trauma, with less guilt- and anger-ridden grief, and reduced reliance on specialized support groups. Previous SUDEP awareness provided emotional preparation, buffering the devastating reality and fostering agency and acceptance. Another theme highlighted the struggles parents faced immediately after SUDEP, particularly with law enforcement and treating physicians. Unanimously, parents emphasized the paramount importance of counseling about the known relationship between epilepsy and SUDEP. DISCUSSION/CONCLUSIONS:Previous awareness of SUDEP (or lack thereof) has complex and far-reaching effects on the subsequent parental perceived trauma, grief, and coping processes. Furthermore, emergency responders, official personnel, and treating physicians may mishandle the aftermath of SUDEP. This study's findings strongly advocate for a paradigm shift in SUDEP-related practices across multiple disciplines, including legislation. Emphasis should be placed on increasing proactive SUDEP counseling to mitigate the traumatic effect and subsequent grieving process when SUDEP occurs.

OBJECTIVE:Interictal epileptiform discharges (IEDs) are transients observed on the electroencephalogram (EEG) of patients with epilepsy. IEDs have traditionally been recorded from scalp or intracranial EEG macrocontacts, which coarsely sample neural activity. Here, we investigated the use of flexible, high-resolution microelectrocorticographic (μECoG) arrays for measuring IEDs with greater spatiotemporal precision to test whether there exist microscale patterns of IED activity that may be missed on standard intracranial EEG. METHODS:) to record from seven patients undergoing surgical treatment of epilepsy. We identified IEDs by a combination of expert review and automated detection. We quantified the spatial extent of IEDs, mapped patterns of repeated IED activity, and quantified IED propagation direction using multilinear fit models. We also compared IED detection rates and propagation measurements between μECoG arrays and simulated macroarrays (10-mm spacing, 2.3-mm diameter). RESULTS:We demonstrated successful use of μECoG arrays to map intraoperative microscale patterns of IEDs. The majority of patients (5/7) exhibited elevated IED activity that was highly localized (subcentimeter localization). Across all patients, 40% of detected IEDs were observed within a 4-mm radius of cortex. μECoG arrays also mapped the direction of IED propagation. An average of 39% (range = 4.2%-96.5%, SD = ±36.8%) of the IED events captured by the μECoG arrays were not detectable by simulated macrocontacts. SIGNIFICANCE/CONCLUSIONS:These intraoperative data demonstrate that μECoG arrays can map the microscale spatiotemporal activity of IEDs. These patterns of IEDs may be poorly captured by standard, macroscale recording devices. Our findings support the use of high-resolution, large area coverage μECoG arrays for the presurgical and intraoperative mapping of epileptic cortex.

OBJECTIVES/OBJECTIVE:To explore the evolution of the grief experience following Sudden Unexpected Death in Epilepsy (SUDEP) and identify factors that assist the bereaved in coping with their loss. METHODS:A survey formulated by a multidisciplinary team gathered information gathered information on decedent and respondent demographics, epilepsy details, circumstances surrounding death, postmortem experiences, descriptions of grief overtime (from 3 months to > 10 years post death), insights into coping strategies and recommendations for assisting the bereaved. RESULTS:A total of 206 participants completed the survey (predominantly middle-aged white females who were parents of the deceased). Most respondents (69.2 %) were unaware of SUDEP prior to the death and strongly desired to have had prior information. Negative impacts on relationships and mental health were highest at three months post-loss but gradually improved over time; feelings of sadness persisted while anger and guilt decreased, and acceptance increased. Interactions with understanding peers, supportive family or friends, and professional counseling were identified as most helpful, alongside clear communication and support from medical professionals and advocacy groups. CONCLUSIONS:This study highlights the profound and evolving nature of grief following SUDEP, describes the importance of SUDEP disclosure as part of comprehensive epilepsy care, and illustrates the need for ongoing and dynamic support for the bereaved. Interpretation of the findings is limited as the respondents were predominantly middle-aged white females who were parents of the deceased.

The ability to quickly learn and generalize is one of the brain's most impressive feats and recreating it remains a major challenge for modern artificial intelligence research. One of the most mysterious one-shot learning abilities displayed by humans is one-shot perceptual learning, whereby a single viewing experience drastically alters visual perception in a long-lasting manner. Where in the brain one-shot perceptual learning occurs and what mechanisms support it remain enigmatic. Combining psychophysics, 7 T fMRI, and intracranial recordings, we identify the high-level visual cortex as the most likely neural substrate wherein neural plasticity supports one-shot perceptual learning. We further develop a deep neural network model incorporating top-down feedback into a vision transformer, which recapitulates and predicts human behavior. The prior knowledge learnt by this model is highly similar to the neural code in the human high-level visual cortex. These results reveal the neurocomputational mechanisms underlying one-shot perceptual learning in humans.

Recent research demonstrates that large language models can predict neural activity recorded via electrocorticography during natural language processing. To predict word-by-word neural activity, most prior work evaluates encoding models within individual electrodes and participants, limiting generalizability. Here we analyze electrocorticography data from eight participants listening to the same 30-min podcast. Using a shared response model, we estimate a common information space across participants. This shared space substantially enhances large language model-based encoding performance and enables denoising of individual brain responses by projecting back into participant-specific electrode spaces-yielding a 37% average improvement in encoding accuracy (from r = 0.188 to r = 0.257). The greatest gains occur in brain areas specialized for language comprehension, particularly the superior temporal gyrus and inferior frontal gyrus. Our findings highlight that estimating a shared space allows us to construct encoding models that better generalize across individuals.