Faculty Bibliography

Hearing one's own voice is critical for fluent speech production as it allows for the detection and correction of vocalization errors in real time. This behavior known as the auditory feedback control of speech is impaired in various neurological disorders ranging from stuttering to aphasia; however, the underlying neural mechanisms are still poorly understood. Computational models of speech motor control suggest that, during speech production, the brain uses an efference copy of the motor command to generate an internal estimate of the speech output. When actual feedback differs from this internal estimate, an error signal is generated to correct the internal estimate and update necessary motor commands to produce intended speech. We were able to localize the auditory error signal using electrocorticographic recordings from neurosurgical participants during a delayed auditory feedback (DAF) paradigm. In this task, participants hear their voice with a time delay as they produced words and sentences (similar to an echo on a conference call), which is well known to disrupt fluency by causing slow and stutter-like speech in humans. We observed a significant response enhancement in auditory cortex that scaled with the duration of feedback delay, indicating an auditory speech error signal. Immediately following auditory cortex, dorsal precentral gyrus (dPreCG), a region that has not been implicated in auditory feedback processing before, exhibited a markedly similar response enhancement, suggesting a tight coupling between the 2 regions. Critically, response enhancement in dPreCG occurred only during articulation of long utterances due to a continuous mismatch between produced speech and reafferent feedback. These results suggest that dPreCG plays an essential role in processing auditory error signals during speech production to maintain fluency.

BACKGROUND:Levetiracetam is commonly used for seizure prophylaxis in patients with intracerebral hemorrhage (ICH), traumatic brain injury (TBI), supratentorial neurosurgery, and spontaneous subarachnoid hemorrhage (SAH). However, its efficacy, optimal dosing, and the adverse events associated with levetiracetam prophylaxis remain unclear. METHODS:A systematic search of PubMed, Embase, and Cochrane central register of controlled trials (CENTRAL) database was conducted from January 1, 2000, to October 30, 2020, including articles addressing treatment with levetiracetam for seizure prophylaxis after SAH, ICH, TBI, and supratentorial neurosurgery. Non-English, pediatric (aged < 18 years), preclinical, reviews, case reports, and articles that included patients with a preexisting seizure condition or epilepsy were excluded. The coprimary meta-analyses examined first seizure events in (1) levetiracetam versus no antiseizure medication and (2) levetiracetam versus other antiseizure medications in all ICH, TBI, SAH, and supratentorial neurosurgery populations. Secondary meta-analyses evaluated the same comparator groups in individual disease populations. Risk of bias in non-randomised studies - of interventions (ROBINS-I) and risk-of-bias tool for randomized trials (RoB-2) tools were used to assess risk of bias. RESULTS: = 39%, P = 0.13 for heterogeneity). There were no significant differences in meta-analyses of patients with ICH, SAH, or TBI. Adverse events of any severity were reported in a median of 8% of patients given levetiracetam compared with 21% of patients in comparator groups. CONCLUSIONS:Based on the current moderately to seriously biased heterogeneous data, which frequently used low and possibly subtherapeutic doses of levetiracetam, our meta-analyses did not demonstrate significant reductions in seizure incidence and neither supports nor refutes the use of levetiracetam prophylaxis in TBI, SAH, or ICH. Levetiracetam may be preferred post supratentorial neurosurgery. More high-quality randomized trials of prophylactic levetiracetam are warranted.

AIMS/OBJECTIVE:The causes of distinct patterns of reduced cortical thickness in the common human epilepsies, detectable on neuroimaging and with important clinical consequences, are unknown. We investigated the underlying mechanisms of cortical thinning using a systems-level analysis. METHODS:Imaging-based cortical structural maps from a large-scale epilepsy neuroimaging study were overlaid with highly spatially resolved human brain gene expression data from the Allen Human Brain Atlas. Cell-type deconvolution, differential expression analysis and cell-type enrichment analyses were used to identify differences in cell-type distribution. These differences were followed up in post-mortem brain tissue from humans with epilepsy using Iba1 immunolabelling. Furthermore, to investigate a causal effect in cortical thinning, cell-type-specific depletion was used in a murine model of acquired epilepsy. RESULTS:We identified elevated fractions of microglia and endothelial cells in regions of reduced cortical thickness. Differentially expressed genes showed enrichment for microglial markers and, in particular, activated microglial states. Analysis of post-mortem brain tissue from humans with epilepsy confirmed excess activated microglia. In the murine model, transient depletion of activated microglia during the early phase of the disease development prevented cortical thinning and neuronal cell loss in the temporal cortex. Although the development of chronic seizures was unaffected, the epileptic mice with early depletion of activated microglia did not develop deficits in a non-spatial memory test seen in epileptic mice not depleted of microglia. CONCLUSIONS:These convergent data strongly implicate activated microglia in cortical thinning, representing a new dimension for concern and disease modification in the epilepsies, potentially distinct from seizure control.

Though the great success of paclitaxel, the variable response of patients to the drug limits its clinical utility and the precise mechanisms underlying the variable response to paclitaxel remain largely unknown. This study aims to verify the role and the underlying mechanisms of CD147 in paclitaxel resistance. Immunostaining was used to analyze human non-small-cell lung cancer (NSCLC) and ovarian cancer tissues. RNA-sequencing was used to identify downstream effectors. Annexin V-FITC/propidium iodide and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining were used to detect apoptosis. Co-immunoprecipitation (Co-IP), fluorescence resonance energy transfer (FRET) and surface plasmon resonance (SPR) were performed to determine protein interactions. Fluorescence recovery after photobleaching (FRAP) was performed to measure the speed of microtubule turnover. Xenograft tumor model was established to evaluate sensitivity of cancer cells to paclitaxel in vivo. In vitro and in vivo assays showed that silencing CD147 sensitized the cancer cells to paclitaxel treatment. CD147 protected cancer cells from paclitaxel-induced caspase-3 mediated apoptosis regardless of p53 status. Truncation analysis showed that the intracellular domain of CD147 (CD147^ICD) was indispensable for CD147-regulated sensitivity to paclitaxel. Via screening the interacting proteins of CD147^ICD, Ran binding protein 1 (RanBP1) was identified to interact with CD147^ICD via its C-terminal tail. Furthermore, we showed that RanBP1 mediated CD147-regulated microtubule stability and dynamics as well as response to paclitaxel treatment. These results demonstrated that CD147 regulated paclitaxel response by interacting with the C-terminal tail of RanBP1 and targeting CD147 may be a promising strategy for preventing paclitaxel resistant.

AIMS/OBJECTIVE:Hippocampal findings are implicated in the pathogenesis of sudden unexplained death in childhood (SUDC), although some studies have identified similar findings in sudden explained death in childhood (SEDC) cases. We blindly reviewed hippocampal histology in SUDC and SEDC controls. METHODS:Hippocampal H&E slides (n=67; 36 SUDC, 31 controls) from clinical and forensic collaborators were evaluated by 9 blinded reviewers: 3 board-certified forensic pathologists, 3 neuropathologists, and 3 dual-certified neuropathologist/forensic pathologists. RESULTS:Among nine reviewers, about 50% of hippocampal sections were rated as abnormal (SUDC 52.5%, controls 53.0%), with no difference by cause of death (COD) (p=0.16) or febrile seizure history (p=0.90). There was little agreement among nine reviewers on whether a slide was within normal range (Fleiss' kappa=0.014, p=0.47). Within reviewer groups, there were no findings more frequent in SUDC compared to controls, with variability in pyramidal neuron and dentate gyrus findings. Across reviewer groups, there was concordance for bilamination and granule cell loss. Neither SUDC (51.2%) nor control (55.9%) slides were considered contributory to determining COD (p=0.41). CONCLUSIONS:The lack of an association of hippocampal findings in SUDC and controls, as well as inconsistency of observations by multiple blinded reviewers, indicates discrepancy with previous studies and an inability to reliably identify hippocampal malformation associated with sudden death (HMASD). These findings underscore a need for larger studies to standardize evaluation of hippocampal findings, identify the range of normal variation and, changes unrelated to SUDC or febrile seizures. Molecular studies may help identify novel immunohistological markers that inform on COD.

BACKGROUND:The dural vasculature plays a key role in several important conditions, including dural fistulas and subdural collections. While in vivo investigations of intrinsic dural arterial angioarchitecture are rare, no angiographic studies of dural venous drainage exist to our knowledge. OBJECTIVE:To describe methods by which dural venous drainage might be visualized with current angiographic equipment and technique, and to correlate our results with existing ex vivo literature. METHODS:Digital subtraction angiography and 3D angiography (rotational and Dyna CT) of dural neurovasculature were acquired in the context of subdural hematoma embolization and normal dura. Protocols for visualization of dural venous drainage were established, and findings correlated with ex vivo studies. RESULTS:Meningeal arteries supply both the skull and dura. Normal dural enhancement is accentuated by the presence of hypervascular membranes. Intrinsic meningeal veins/sinuses parallel outer layer arteries with well-known tram-tracking appearance. Dura adjacent to main arterial trunks drains via skull base foramina into the pterygopalatine venous plexus, or via emissary veins into the temporalis venous plexus. Dura near the sinuses drains into venous pouches adjacent to the sinus, before emptying into the sinus proper-possibly the same pouches implicated in the angioarchitecture of dural fistulas. Finally, posterior temporoparietal convexity dura, situated in a watershed-like region between middle and posterior meningeal territories, frequently empties into diploic and emissary veins of the skull. Wide variation in balance is expected between these three routes. Drainage patterns appear to correlate with venous embryologic investigations of Padget and ex vivo studies in adults. CONCLUSIONS:Continued attention to dural venous drainage may prove useful in the diagnosis and management of dural-based vascular diseases.

OBJECTIVES/OBJECTIVE:To assess whether MR fingerprinting (MRF)-based relaxation properties exhibit cross-sectional and prospective correlations with patient outcome and compare the results with those from DTI. METHODS:from MRF were compared in 12 gray and white matter regions with Mann-Whitney tests. Bivariate associations between MR measures and outcome were assessed using the Spearman correlation and logistic regression. RESULTS:, accounted for five of the six MR measures with the highest utility for identification of non-recovered patients at timepoint 2 (AUC > 0.80). CONCLUSION/CONCLUSIONS:, FA, and ADC for predicting 3-month outcome after mTBI. KEY POINTS/CONCLUSIONS:, and FA.

Gait and balance abnormalities develop commonly in Parkinson's disease and are among the motor symptoms most disabling and refractory to dopaminergic or other treatments, including deep brain stimulation. Efforts to develop effective therapies are challenged by limited understanding of these complex disorders. There is a major need for novel and appropriately targeted research to expedite progress in this area. The Scientific Issues Committee of the International Parkinson and Movement Disorder Society has charged a panel of experts in the field to consider the current knowledge gaps and determine the research routes with highest potential to generate groundbreaking data. © 2021 International Parkinson and Movement Disorder Society.

BACKGROUND:Fatigue is among the most frequent and disabling symptoms in patients with relapsing multiple sclerosis (RMS). OBJECTIVE:To measure MS fatigue and its impact on daily life in a real-world US population using an MS-specific patient-reported outcome (PRO) instrument, the Fatigue Symptoms and Impacts Questionnaire-RMS (FSIQ-RMS). METHODS:This ongoing prospective study recruited RMS patients from an online patient community (Carenity) across US. Baseline assessment data are reported. Participants completed questionnaires, including the 20-item FSIQ-RMS questionnaire, with the first seven symptom-related items collected daily for seven days, and the other 13 items on the seventh day assessing impacts of fatigue. The FSIQ-RMS scores range from 0 to 100 (higher score=greater severity). The impact of fatigue on several aspects of patients' lives was rated from 0 (no impact) to 10 (very high impact). Data on disease history, disease status, sleep, social and emotional functioning were also captured. Baseline assessment data of 300 RMS patients are reported while follow-up assessments up to 18 months are planned. RESULTS:300 RMS participants completed the 7-day assessment (mean age 43.0 years, 88% women). Fatigue was rated as severe, with a mean score of 57.3 for the FSIQ-RMS symptom domain; 3 impact sub-domain scores were 42.3, 43.4 and 50.1 (physical, cognitive/emotional, and coping). Participants who were not in relapse (78%) reported less severe fatigue than those in relapse (22%): mean±SD symptom score of 54.6 ± 17.8 vs. 67.0 ± 19.7, p< 0.001. Fatigue had a higher intensity among those with depression than without (49% vs. 51%, with mean ± SD symptom score of 62.8 ± 16.9 vs. 52.1 ± 19.3, p< 0.001), and among those with sleep disorder than without (27% vs. 73%, 61.2 ± 19.2 vs. 55.9 ± 18.6; p< 0.05). The most common factor associated with increased fatigue was heat exposure (82%). Most participants (52%) reported experiencing fatigue before their MS diagnosis. CONCLUSION/CONCLUSIONS:Fatigue influences daily functioning for most patients with RMS. The FSIQ-RMS is a novel and MS-specific PRO measure that can advance the understanding and management of fatigue.