Faculty Bibliography

BACKGROUND:Disorders of consciousness (DoC) are frequently encountered in both, acute and chronic brain injuries. In many countries, early withdrawal of life-sustaining treatments is common practice for these patients even though the accuracy of predicting recovery is debated and delayed recovery can be seen. In this review, we will discuss theoretical concepts of consciousness and pathophysiology, explore effective strategies for management, and discuss the accurate prediction of long-term clinical outcomes. We will also address research challenges. MAIN TEXT/METHODS:DoC are characterized by alterations in arousal and/or content, being classified as coma, unresponsive wakefulness syndrome/vegetative state, minimally conscious state, and confusional state. Patients with willful modulation of brain activity detectable by functional MRI or EEG but not by behavioral examination is a state also known as covert consciousness or cognitive motor dissociation. This state may be as common as every 4th or 5th patient without behavioral evidence of verbal command following and has been identified as an independent predictor of long-term functional recovery. Underlying mechanisms are uncertain but intact arousal and thalamocortical projections maybe be essential. Insights into the mechanisms underlying DoC will be of major importance as these will provide a framework to conceptualize treatment approaches, including medical, mechanical, or electoral brain stimulation. CONCLUSIONS:We are beginning to gain insights into the underlying mechanisms of DoC, identifying novel advanced prognostication tools to improve the accuracy of recovery predictions, and are starting to conceptualize targeted treatments to support the recovery of DoC patients. It is essential to determine how these advancements can be implemented and benefit DoC patients across a range of clinical settings and global societal systems. The Curing Coma Campaign has highlighted major gaps knowledge and provides a roadmap to advance the field of coma science with the goal to support the recovery of patients with DoC.

INTRODUCTION AND PROBLEM STATEMENT/UNASSIGNED:A chief resident's role incorporates administrative, academic, and interpersonal responsibilities essential to managing a successful residency program. However, rising chief residents receive little formal exposure to leadership training. OBJECTIVES/UNASSIGNED:To (1) define leadership styles; (2) understand the effect of cultural competence on leadership styles; (3) learn effective methods to advocate as the chief resident; (4) provide effective peer feedback; (5) provide effective supervisor feedback; (6) learn effective conflict management; (7) ensure psychological safety. METHODS AND CURRICULUM DESCRIPTION/UNASSIGNED:We developed a 1-day curriculum combining didactics and simulation activities for our program's rising chief residents. Implementation of our curricular design included a morning session focusing on small groups and didactic-based lectures on specific topics pertinent to leadership, along with a debriefing of a psychometric evaluation tool administered before the curriculum day. The simulation activity consisted of 3 group objective structured clinical examination (G-OSCE) scenarios: (1) providing a struggling junior trainee with feedback; (2) debriefing an adverse clinical outcome as the team leader; (3) navigating a challenging situation with a supervising physician. Standardized participants were surveyed for specific objectives. Learners completed precurricular and postcurricular surveys on their familiarity and preparedness for their chief year. RESULTS AND ASSESSMENT DATA/UNASSIGNED:= 0.421), learner-reported use of wellness resources was noted to be reduced after the curricular intervention and remains a result of further interest for exploration. DISCUSSION AND LESSONS LEARNED/UNASSIGNED:A 1-day leadership development curriculum combining didactics and simulation is an effective means of preparing rising chief residents to succeed in their transition to this leadership role.

OBJECTIVE/UNASSIGNED:This study investigates speech decoding from neural signals captured by intracranial electrodes. Most prior works can only work with electrodes on a 2D grid (i.e., Electrocorticographic or ECoG array) and data from a single patient. We aim to design a deep-learning model architecture that can accommodate both surface (ECoG) and depth (stereotactic EEG or sEEG) electrodes. The architecture should allow training on data from multiple participants with large variability in electrode placements and the trained model should perform well on participants unseen during training. APPROACH/UNASSIGNED:We propose a novel transformer-based model architecture named SwinTW that can work with arbitrarily positioned electrodes, by leveraging their 3D locations on the cortex rather than their positions on a 2D grid. We train both subject-specific models using data from a single participant as well as multi-patient models exploiting data from multiple participants. MAIN RESULTS/UNASSIGNED:The subject-specific models using only low-density 8x8 ECoG data achieved high decoding Pearson Correlation Coefficient with ground truth spectrogram (PCC=0.817), over N=43 participants, outperforming our prior convolutional ResNet model and the 3D Swin transformer model. Incorporating additional strip, depth, and grid electrodes available in each participant (N=39) led to further improvement (PCC=0.838). For participants with only sEEG electrodes (N=9), subject-specific models still enjoy comparable performance with an average PCC=0.798. The multi-subject models achieved high performance on unseen participants, with an average PCC=0.765 in leave-one-out cross-validation. SIGNIFICANCE/UNASSIGNED:The proposed SwinTW decoder enables future speech neuroprostheses to utilize any electrode placement that is clinically optimal or feasible for a particular participant, including using only depth electrodes, which are more routinely implanted in chronic neurosurgical procedures. Importantly, the generalizability of the multi-patient models suggests the exciting possibility of developing speech neuroprostheses for people with speech disability without relying on their own neural data for training, which is not always feasible.

Effective communication hinges on a mutual understanding of word meaning in different contexts. We recorded brain activity using electrocorticography during spontaneous, face-to-face conversations in five pairs of epilepsy patients. We developed a model-based coupling framework that aligns brain activity in both speaker and listener to a shared embedding space from a large language model (LLM). The context-sensitive LLM embeddings allow us to track the exchange of linguistic information, word by word, from one brain to another in natural conversations. Linguistic content emerges in the speaker's brain before word articulation and rapidly re-emerges in the listener's brain after word articulation. The contextual embeddings better capture word-by-word neural alignment between speaker and listener than syntactic and articulatory models. Our findings indicate that the contextual embeddings learned by LLMs can serve as an explicit numerical model of the shared, context-rich meaning space humans use to communicate their thoughts to one another.

Sound structures such as phonemes and words have highly variable durations. Thus, there is a fundamental difference between integrating across absolute time (e.g., 100 ms) vs. sound structure (e.g., phonemes). Auditory and cognitive models have traditionally cast neural integration in terms of time and structure, respectively, but the extent to which cortical computations reflect time or structure remains unknown. To answer this question, we rescaled the duration of all speech structures using time stretching/compression and measured integration windows in the human auditory cortex using a new experimental/computational method applied to spatiotemporally precise intracranial recordings. We observed significantly longer integration windows for stretched speech, but this lengthening was very small (~5%) relative to the change in structure durations, even in non-primary regions strongly implicated in speech-specific processing. These findings demonstrate that time-yoked computations dominate throughout the human auditory cortex, placing important constraints on neurocomputational models of structure processing.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Iatrogenic cerebrovascular injury can cause intracranial hemorrhage and pseudoaneurysm formation, putting patients at high risk for postoperative bleeding. No consensus for management exists. This study describes endovascular treatment of these acute injuries with flow diverter stents. METHODS:Electronic medical records were retrospectively reviewed for injury type and etiology, timing of diagnosis, and endovascular management, including antiplatelet regimens, embolization results, and clinical outcome. RESULTS:Six patients were included. Three suffered an injury to the internal carotid artery, 1 suffered an injury to the left anterior cerebral artery, 1 suffered an injury to the right posterior cerebral artery, and 1 suffered an injury to the basilar artery. Four of the 6 injuries occurred during attempted tumor resection, 1 occurred during cerebrospinal fluid leak repair, and 1 occurred during an ophthalmic artery aneurysm clipping. All injuries resulted in pseudoaneurysm formation. Four were immediately detected on angiography; 2 were initially negative on imaging. Five were treated with a pipeline embolization device, and 1 was treated with a Silk Vista Baby. Two were treated with 2 pipeline embolization devices telescopically overlapped across the pseudoaneurysm. All devices deployed successfully. No pseudoaneurysm recurrence or rebleeding occurred. No parent artery occlusion or stenosis was observed, and complete pseudoaneurysm occlusion was observed in 4 patients (in 2 patients, follow-up imaging could not be obtained). CONCLUSION/CONCLUSIONS:With proper antiplatelet regimens, flow diverter stents can be used safely to successfully treat complex acute iatrogenic injuries. Early repeat angiogram is needed when immediate postinjury imaging does not discover the point of vessel injury.

Alexia without agraphia is a neurological syndrome characterised by an acquired inability to read with a preserved ability to write. It is caused by the combined effect of two lesions: in the splenium of the corpus callosum and in the occipital lobe of the dominant hemisphere. Splenial lesions disconnect the language areas in the temporal and parietal lobes of the dominant hemisphere from the visual areas in the occipital cortex of the contralateral side, while lesions in the dominant occipital lobe cause homonymous hemianopia. We describe two patients with lesions affecting the splenium and dominant occipital lobe, with different causes. Together, these cases highlight the importance of performing a thorough language evaluation in patients presenting with homonymous visual field deficits, as otherwise, clinicians may overlook impairments in writing (agraphia) or reading (alexia).

Dural arteriovenous fistulas (dAVFs) can occur as complications after surgical procedures, especially following the resection of meningiomas near the dural sinus. This case report presents a 74-year-old male who developed a recurrent sigmoid dAVF following meningioma resection. Initially treated with transvenous embolization and middle meningeal artery embolization, the dAVF recurred with worsening clinical symptoms. Conventional treatment options, including sinus sacrifice and transarterial embolization, were unsuitable due to the critical role of the patient's dominant right sigmoid sinus in cerebral venous drainage. Consequently, a reconstructive approach was employed using a pipeline embolization device (PED) construct. The PED successfully occluded the dAVF while preserving the function of the sigmoid sinus. A follow-up angiogram confirmed stable occlusion and normalization of intracranial venous drainage. This case underscores the potential of flow diversion as a viable treatment option for dAVFs, particularly in scenarios where preserving venous sinus function is paramount.

The characterization of genetic alterations in tumor samples has become standard practice for many human cancers to achieve more precise disease classification and guide the selection of targeted therapies. Cerebrospinal fluid (CSF) can serve as a source of tumor DNA in patients with central nervous system (CNS) cancer. We performed comprehensive profiling of CSF circulating tumor DNA (ctDNA) in 711 patients using an FDA-authorized platform (MSK-IMPACT™) in a hospital laboratory. We identified genetic alterations in 489/922 (53.0%) CSF samples with clinically documented CNS tumors. None of 85 CSF samples from patients without CNS tumors had detectable ctDNA. The distribution of clinically actionable somatic alterations was consistent with tumor-type specific alterations across the AACR GENIE cohort. Repeated CSF ctDNA examinations from the same patients identified clonal evolution and emergence of resistance mechanisms. ctDNA detection was associated with shortened overall survival following CSF collection. Next-generation sequencing of CSF, collected through a minimally invasive lumbar puncture in a routine hospital setting, provides clinically actionable cancer genotype information in a large fraction of patients with CNS tumors.

Adult polyglucosan body disease (APBD) is a rare autosomal recessive glycogen storage disorder that leads to slowly progressive multi-organ dysfunction in adulthood. A novel disease-specific patient-reported outcome measure was created and administered to assess symptom burden and health-related quality of life (HR-QOL) in APBD. Thirty-six participants between 30 and 79 years of age (83% ≥60 years, 56% male) completed the anonymous questionnaire independently or with a caregiver proxy (75% self-report). Unemployment predicted an 18.3 (95% CI: 2.8, 33.8; p = 0.028) higher composite disease severity score and a 28.8 (95% CI: 8.2, 49.4; p = 0.010) higher composite HR-QOL score. Use of one or more assistive devices also predicted a 29.3 (95% CI: 8.3, 50.4; p = 0.011) higher composite disease severity score and a 41.8 (95% CI: 10.9, 72.8; p = 0.013) higher composite HR-QOL score. Proxy survey completion predicted a 19.4 (95% CI: 4.1, 34.7; p = 0.020) higher composite disease severity score compared to self-report. Older age at survey completion predicted a 27.4 higher composite HR-QOL score (95% CI: 2.5, 52.4; p = 0.039) for participants in their sixties compared to those between 30 and 59 years old. The development of the Adult Polyglucosan Body Disease questionnaire on Symptom burden and health-related Quality of life (APBD-SQ) marks an important stride forward in capturing the patient experience as a tool for disease monitoring and future research.