Faculty Bibliography

Neuropsychiatric symptoms (NPS) are common in Alzheimer's disease (AD)-associated neurodegeneration. However, NPS lack a consistent relationship with AD pathology. It is unknown whether any common neural circuits can link these clinically disparate while mechanistically similar features with AD pathology. Here, we explored the neural circuits of NPS in AD-associated neurodegeneration using multivariate pattern analysis (MVPA) of resting-state functional MRI data. Data from 98 subjects (70 amnestic mild cognitive impairment and 28 AD subjects) were obtained. The top 10 regions differentiating symptom presence across NPS were identified, which were mostly the fronto-limbic regions (medial prefrontal cortex, caudate, etc.). These 10 regions' functional connectivity classified symptomatic subjects across individual NPS at 69.46-81.27%, and predicted multiple NPS (indexed by Neuropsychiatric Symptom Questionnaire-Inventory) and AD pathology (indexed by baseline and change of beta-amyloid/pTau ratio) all above 70%. Our findings suggest a fronto-limbic dominated neural circuit that links multiple NPS and AD pathology. With further examination of the structural and pathological changes within the circuit, the circuit may shed light on linking behavioral disturbances with AD-associated neurodegeneration.

Real-time processing and manipulation of biological signals require bioelectronic devices with integrated components capable of signal amplification, processing, and stimulation. Transistors form the backbone of such circuits, but numerous criteria must be met for efficient and safe operation in biological environments. Here, we introduce an internal ion-gated organic electrochemical transistor (IGT) that uses contained mobile ions within the conducting polymer channel to permit both volumetric capacitance and shortened ionic transit time. The IGT has high transconductance, fast speed, and can be independently gated to create scalable conformable integrated circuits. We demonstrate the ability of the IGT to provide a miniaturized, comfortable interface with human skin using local amplification to record high-quality brain neurophysiological activity. The IGT is an effective transistor architecture for enabling integrated, real-time sensing and stimulation of signals from living organisms.

OBJECTIVE:Current brain-computer interface (BCI) studies demonstrate the potential to decode neural signals obtained from structured and trial-based tasks to drive actuators with high performance within the context of these tasks. Ideally, to maximize utility, such systems will be applied to a wide range of behavioral settings or contexts. Thus, we explore the potential to augment such systems with the ability to decode abstract behavioral contextual states from neural activity. APPROACH/METHODS:To demonstrate the feasibility of such context decoding, we used electrocorticography (ECoG) and stereo-electroencephalography (sEEG) data recorded from the cortical surface and deeper brain structures, respectively, continuously across multiple days from three subjects. During this time, the subjects were engaged in a range of naturalistic behaviors in a hospital environment. Behavioral contexts were labeled manually from video and audio recordings; four states were considered: engaging in dialogue, rest, using electronics, and watching television. We decode these behaviors using a factor analysis and support vector machine (SVM) approach. MAIN RESULTS/RESULTS:We demonstrate that these general behaviors can be decoded with high accuracies of 73% for a four-class classifier for one subject and 71% and 62% for a three-class classifier for two subjects. SIGNIFICANCE/CONCLUSIONS:To our knowledge, this is the first demonstration of the potential to disambiguate abstract naturalistic behavioral contexts from neural activity recorded throughout the day from implanted electrodes. This work motivates further study of context decoding for BCI applications using continuously recorded naturalistic activity in the clinical setting.

Transcranial direct current stimulation (tDCS) is a modality of non-invasive brain stimulation involving the application of low amplitude direct current via surface electrodes on the scalp. tDCS has been studied in healthy populations and in multiple brain disorders and has the potential to be a treatment for several neuropsychiatric conditions by virtue of its capability of influencing cognitive, motor and behavioral processes. tDCS is a generally safe technique when performed within standardized protocols in research or clinical settings. Furthermore, tDCS portability, high acceptability and user-friendly interface makes it highly appealing for telemedicine practices. The term "telemedicine" refers to the procedures, educational strategies, and care services that are remotely administered by means of different communication technologies, with the final goal of increasing access to care for individuals and for improving public health. The use of telemedicine combined with tDCS protocols is increasing, although the safety of this approach in different clinical settings awaits further assessment. While "do-it-yourself" tDCS should be discouraged due to the unknown risk of adverse events, the implementation of tele-monitored tDCS (tele-tDCS) within standardized frameworks ensuring safety, tolerability, and reproducibility may allow this technology to reach larger clinical populations and bypass some of the common barriers preventing access to health services and clinical trials. This review will discuss the current evidence supporting the feasibility of tele-tDCS paradigms and their therapeutic potential, with particular emphasis on the implications for patients with Parkinson's disease.

The purpose of this study was to evaluate changes in the prevalence and risk factors of cognitive impairment (CI) by analyzing and comparing two cross-sectional epidemiological surveys of CI and its subtypes were performed in a rural area of northern China between 2010 and 2015. Residents aged ≥60 years were drawn in northern China. The Mini Mental State Examination (MMSE) is recommended to test for CI. Dementia was further categorised into Alzheimer's disease (AD), vascular dementia (VaD), and dementia caused by other diseases (ODs). Mild cognitive impairment (MCI) was classified into MCI caused by AD (MCI-A), MCI caused by VaD (MCI-VD), and MCI caused by ODs (MCI-O). The prevalence of CI increased in China. The prevalence of all-cause CI was 30·5% (22.9% MCI and 7.6% dementia) in 2010. The prevalence of all-cause CI was 38.3% (27.8% MCI and 10.5% dementia) in 2015. Similar increases were observed for the prevalence of subtypes of dementia and MCI. These findings suggest an increasing prevalence of CI and its subtypes in China, which may be related to alterations in sociodemographic factors, vascular risk factors and lifestyle changes over time in these cohorts.

The purpose of this study was to conduct an overview of systematic reviews (SRs) to appraise the published evidence related to pharmacological interventions after traumatic brain injury (TBI). Searches were conducted with Medline, Embase, PsycINFO, Web of Science, PubMed. 780 retrieved SRs underwent a two-level screening to determine inclusion. Data extracted included participant characteristics, TBI severity, study design, pharmacological interventions, and outcomes. SRs were assessed for methodological quality by using the AMSTAR measurement tool. After removing duplicates, 166/780 SRs published between 1990-2017 were reviewed, 62 of which met inclusion criteria. More than 90 drugs and 22 substance-classes were extracted. Most medications were administered during the acute stage. Mild TBI was included in 3% of the SRs. Physiological outcomes comprised 45% of the SRs, primarily mortality. Activities of daily living (ADLs) outcomes constituted 22% of the SRs followed by cognition (13%) and psychological/behavioral outcomes (13%). Only 7% of the SRs assessed adverse events. Inconsistencies in definitions, methods, and heterogeneity of instruments used to measure treatment response were noted. Only a third of the SRs had high methodological quality. Most SRs had heterogeneous TBI samples, outcomes, or methodologies making it difficult to synthesize findings into recommended guidelines. This study demonstrated a need for adequately powered and rigorous randomized clinical trials (RCTs) to provide generalizable evidence on the effectiveness of pharmacologic interventions for TBI. PROSPERO Registration: CRD42015017355.

The American Academy of Neurology holds the following positions regarding brain death and its determination, and provides the following guidance to its members who encounter resistance to brain death, its determination, or requests for accommodation including continued use of organ support technology despite neurologic determination of death.

Direct recordings from the human brain have historically involved epilepsy patients undergoing invasive electroencephalography (iEEG) for surgery. However, these measurements are temporally limited and affected by clinical variables. The RNS System (NeuroPace, Inc.) is a chronic, closed-loop electrographic seizure detection and stimulation system. When adapted by investigators for research, it facilitates cognitive testing in a controlled ambulatory setting, with measurements collected over months to years. We utilized an associative learning paradigm in 5 patients with traditional iEEG and 3 patients with chronic iEEG, and found increased hippocampal gamma (60-100 Hz) sustained at 1.3-1.5 seconds during encoding in successful versus failed trials in surgical patients, with similar results in our RNS System patients (1.4-1.6 seconds). Our findings replicate other studies demonstrating that sustained hippocampal gamma supports encoding. Importantly, we have validated the RNS System to make sensitive measurements of hippocampal dynamics during cognitive tasks in a chronic ambulatory research setting.