Digital Commons Network^™

The Ideological Work Of Penal Reform: How Reformers Justify Penal-Welfare Hybridization, John Halushka, Brandon Miller

Faculty Research, Scholarly, and Creative Activity

This article uses the Santa Clara County Reentry Resource Center (RRC) as a case study to explore the cultural content of penal reform. Specifically, we explore the discourses that officials use to publicly justify projects of penal-welfare hybridization, or the linking of state systems of punishment and welfare to manage criminalized populations. Our qualitative analysis draws on a dataset consisting of county planning documents, budgets, videos, press releases, and newsletters published online between 2011 and 2023. By examining these materials over time, we are able to chart patterns of consistency and variation in how officials justify hybridization. We find that …

Likelihood-Based Inference For Random Networks With Changepoints, Daniel Cirkovic, Tiandong Wang, Xianyang Zhang

Mathematical and Statistical Science Faculty Research and Publications

Generative, temporal network models play an important role in analyzing the dependence structure and evolution patterns of complex networks. Due to the complicated nature of real network data, it is often naive to assume that the underlying data-generative mechanism itself is invariant with time. Such observation leads to the study of changepoints or sudden shifts in the distributional structure of the evolving network. In this paper, we propose a likelihood-based methodology to detect changepoints in undirected, affine preferential attachment networks where, upon introduction, a new node selects one old to attach to with probability proportional to its degree. In particular, …

Sox11 Overexpression Restores Embryonic Pro-Growth Transcription In Mature Corticospinal Tract Neurons, Eliazbeth Batsel, Zimei Wang, Elizabeth Otten, Syed Roshan, Rabia Mohammad, Paula Pascual, Darby O'Shea, Jose Rosas, Pantelis Tsoulfas, Murray G. Blackmore

Biomedical Sciences Faculty Research and Publications

Neurons in the central nervous system (CNS) display a high capacity for axon growth during early development but lose this ability at a pivotal differentiation stage marked by synaptic maturation, circuit integration, and a profound shift in gene transcription. Once mature, most CNS neurons fail to reverse this transcriptional switch after axon injury, fundamentally constraining their intrinsic capacity for axon regeneration. Here, we show with single-nucleus RNA sequencing that forced expression of the transcription factor Sox11 in mature corticospinal tract (CST) neurons produces large-scale and stable changes in gene expression that are highly enriched for growth-relevant processes, and which strongly …

Efficient Preservation Of Old Methane-Derived Organic Carbon In Deep-Sea Surface Sediments, Rui Bao, Yangli Che, Mingzhi Liu, Naiyu Zhang, Yang Zhou, Lihua Dong, Shen Li, Owen A. Sherwood, Min Yu, Zongheng Chen, Shengxiong Yang, Nan Wang, Longhai Zhu, Jiawang Chen, Mutai Bao, Haoshuai Li, Luonan Chen, Weifeng Wu, Haiyue Ma, David J. Burdige

OES Faculty Publications

Methane released from the subseafloor is significantly attenuated during upward migration, yet the preservation of methane-derived organic carbon (OC) in global deep-sea sediments remains poorly understood. Here, we measured carbon isotopes coupled with temperature-ramped analyses on various methane seepage sediments. Our results reveal a correlation between the radiocarbon (¹⁴)C) content in deep-sea surface sediments and sulfate-methane transition depth. Notably, our findings suggest that a substantial amount of (¹⁴)C-depleted OC may originate from deep-seated methane and is efficiently preserved in surface seepage sediments. We propose that the efficient OC preservation is related to microbial-mediated aggregate formation at the seawater-sediment interface, where …

Differences In Sideerophore Production During The Growth Of Phytoplankton In Southern Ocean Incubation Experiments Under High- And Low-Iron Conditions, Randelle M. Bundy, Kristen N. Buck, Bethany D. Jenkins, P. Dreux Chappell, Daniel J. Repeta, Alexa Sterling, Shannon M. Yang, Laura Holland, Léo Mahieu, Laura E. Moore

OES Faculty Publications

Iron is an important micronutrient required by marine microorganisms. The Southern Ocean is an ecosystem where primary production is limited by the availability of iron, but how microorganisms in this region adapt to low-iron conditions or respond to episodic iron inputs is understudied. We tested how external iron additions would impact bacterial production of siderophores during phytoplankton growth using shipboard incubation experiments under a range of iron conditions. Similar heterotrophic bacteria communities and phytoplankton biomass were observed whether iron was added from the continental margin or as inorganic iron. Under both high- and low-iron conditions, the heterotrophic bacteria community remained …

The Distribution Of A-Numbers Of Hyperelliptic Curves In Characteristic Three, Derek Garton, Jeffrey Lin Thunder, Colin Weir

Mathematics and Statistics Faculty Publications and Presentations

In this paper we present a new approach to counting the proportion of hyperelliptic curves of genus g defined over a finite field Fq with a given a-number. In characteristic three this method gives exact probabilities for curves of the form Y 2 = f(X) with f(X) ∈ Fq[X] monic and cubefree, probabilities that match the data presented by Cais et al. in previous work. These results are sufficient to derive precise estimates (in terms of q) for these probabilities when restricting to squarefree f. As a consequence, for positive integers a and g we show that the nonempty strata …

Numerics: A .Net Library For Numerical Computing, Statistical Analysis, And Risk Assessment, C. Haden Smith, Woodrow L. Fields, Julian Gonzalez, Sadie Niblett, Brennan Beam, Brian Skahill

Mathematics and Statistics Faculty Publications and Presentations

Numerics is a free and open-source numerical computing library for .NET, developed by the U.S. Army Corps of Engineers Risk Management Center (USACE-RMC). The library provides 43 univariate probability distributions with L-moment and maximum likelihood parameter estimation, eight Markov Chain Monte Carlo (MCMC) samplers for Bayesian inference, bootstrap uncertainty quantification, bivariate copulas, optimization algorithms, and numerical methods for integration, differentiation, root finding, and linear algebra. Numerics targets engineers, scientists, and analysts working in infrastructure risk assessment, flood frequency analysis, and Monte Carlo simulation within .NET-based enterprise systems. The library supports .NET 8.0 through 10.0 and .NET Framework 4.8.1 and is …

Generation Of Impact Factor-Driven Security Rating Questionnaire Using Llms For Aiot Applications, Yuna Han, Simon Shim, Deva Kumar Gajulamandyam, Yeji Choi, Hyunwoo Lee, Hangbae Chang

Faculty Research, Scholarly, and Creative Activity

Industry 4.0 has transformed industries by accelerating the adoption of artificial intelligence of things (AIoT); however, it has also led to security risks, such as data leakage. Existing data protection research focuses on network layers, whereas application-layer rating systems rely on subjective evaluations, limiting consistency and applicability. This study proposes a scalable and objective AIoT security rating framework that clarifies ambiguities in the five-question rating system of the Korean Intellectual Property Office and unifies fragmented managerial and technical rating systems. By leveraging large language models (LLMs), the framework integrates a security rating model based on 14 impact factors with automated …

Breaking The Cycle: Rethinking Bar Exam Scoring And Portability For Nextgen Examinees, Steven Foster, Nachman Gutowski

Scholarly Works

The development of the NextGen Bar Exam presents a crucial opportunity to address longstanding challenges in both bar exam scoring and portability concerns. The reliance on recent graduates' performance on the Uniform Bar Examination (UBE) as a baseline for setting future standards is flawed due to relative scoring and scaling. In addition to concerns regarding how the future bar exam is scored, there are also concerns regarding how the new scoring metric on the NextGen bar exam will be used for portability and, more specifically, what will happen between 2026 and 2028 as the NextGen bar exam is progressively adopted …

Legal Ethics Of Ai Snake Oil: Navigating The Hype, Harm, And Hope Of Legal Ai, Drew Simshaw

Scholarly Works

This paper argues that the legal ethics of AI extend far beyond competence and hallucinations. It shows how AI often functions as a mirror, exposing deeper ethical questions about institutional incentives, lawyer wellbeing, access to justice, and AI's broader social and environmental impacts.

Memoir: The Brain, Neuroethics, And Bioethics, Leslie C. Griffin

Scholarly Works

This Essay examines how developments in neuroscience (or brain science) affect our views of law, medicine, ethics, and religion. Part I shows how lack of clarity about brain death can lead to premature organ donation. Part II argues that health care too often provides inadequate brain care and incomplete rehabilitation. Part III explains why recovery may be possible for those braininjured patients who are told it is not. Part IV demonstrates how the fear of a brain-injured patient oddly affects my perspective on Tort and Criminal Law, which are being influenced by neuroscientific advances. Part V examines the new developments …

From Passive To Powerful: Creating Engaging Resident-As-Teacher Modules, Anna E Rueda, Stephanie V Sherman, Sherita J Love, Glenn C Bridges, Wesley A Mayer, Mark J Harbott, Teri L Turner, Bani M Ratan

Faculty and Staff Publications

Background: We aimed to design, implement, and evaluate three novel institutional resident-as-teacher (RAT) e-modules for postgraduate year (PGY) 1, 2, and 3 and compare them to previously utilized online trainings.

Methods: We utilized PICRAT, a model examining both students' relationship with technology (passive, interactive, creative) and instructors' use of technology (replaces, amplifies, or transforms) to create interactive experiences that amplified teaching methodologies. We compared evaluations of the previous and new trainings with an unpaired t test. New modules were assessed with one-way analysis of variance for specialty-based acceptability and content analysis of two open-ended questions.

Results: Response rates averaged 93.2% …

Test-Retest Apparent Diffusion Coefficient Reproducibility In Head And Neck Cancer Using A 15-T Mr-Linac, Brigid A Mcdonald, Dina El-Habashy, Renjie He, Sam Mulder, Sarah Mirbahaeddin, Abdallah S R Mohamed, Sara Ahmed, Yao Ding, Jihong Wang, Stephen Y Lai, Alex Dresner, John Christodouleas, Clifton D Fuller

Faculty, Staff and Student Publications

Purpose

To evaluate the reproducibility of apparent diffusion coefficient (ADC) measurements in head and neck squamous cell carcinoma (HNSCC) using a 1.5-T MR-linac (MRI-guided linear accelerator) system.

Materials and Methods

In this retrospective study, conducted between February 2021 and January 2024, patients with HNSCC lesions underwent echo-planar imaging diffusion-weighted MRI on a 1.5-T MR-linac system at two time points before the start of radiation therapy. Mean and median ADC values and volumes were measured for each lesion. Absolute and percent reproducibility coefficients (RCs) were calculated. Linear regression analyses and F tests were performed to determine whether the lesion volume or …

Cerebellar Motor And Non-Motor Contributions To Dystonia Pathophysiology And Treatment, Linda H Kim, Cheryl Brandenburg, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Dystonia is a complex neurological disorder characterized by sustained or intermittent abnormal movements and/or postures. However, dystonia's non-motor symptoms, particularly the sleep disturbances, are critical yet underexplored concerns that affect all ages. Here, we synthesize current knowledge on the motor and non-motor domains of dystonia, emphasizing the functional interconnections and plasticity within cerebellar motor, cognitive, and sleep-associated circuits to motivate more comprehensive and effective treatments that improve overall quality of life.

Senolytic-Resistant Senescent Cells Have A Distinct Sasp Profile And Functional Impact: The Path To Developing Senosensitizers, Utkarsh Tripathi, Masayoshi Suda, Vagisha Kulshreshtha, Bryan T Piatkowski, Allyson K Palmer, Nino Giorgadze, Christina Inman, Nathan Gasek, Ming Xu, Kurt O Johnson, Tamar Pirtskhalava, Selim Chaib, Larissa P G Langhi Prata, Yi Zhu, Renuka Kandhaya-Pillai, Stefan G Tullius, Saranya P Wyles, Rambabu Majji, Hari Krishna Yalamanchili, David B Allison, Tamar Tchkonia, James L Kirkland

Faculty, Staff and Students Publications

The senescent cell (SC) fate is linked to aging, multiple disorders and diseases, and physical dysfunction. Senolytics, agents that selectively eliminate 30%-70% of SCs, act by transiently disabling the senescent cell antiapoptotic pathways (SCAPs), which defend those SCs that are proapoptotic and pro-inflammatory from their own senescence-associated secretory phenotype (SASP). Consistent with this, a JAK/STAT inhibitor, Ruxolitinib, which attenuates the pro-inflammatory SASP of senescent human preadipocytes, caused them to become "senolytic-resistant". Administering senolytics to obese mice selectively decreased the abundance of the subset of SCs that is pro-inflammatory. In cell cultures, the 30%-70% of human senescent preadipocytes or human umbilical …

An Empirical Framework For Evaluating Semantic Preservation Using Hugging Face, Nan Jia, Anita Raja, Raffi Khatchadourian

Publications and Research

As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate traditional software refactoring. We define semantic preservation in LESS as the property that optimizations of intelligent components do not alter the system's overall functional behavior. This paper introduces an empirical framework to evaluate semantic preservation in LESS by mining model evolution data from HuggingFace. We extract commit histories, $\textit{Model Cards}$, and performance metrics from a large number of models. To establish baselines, we conducted case studies in three …

Resilience For Whom? A Study In Pathways And Production Of Unequal Risk In The Rockaways, Aaryan M. Nair

Publications and Research

This paper investigates how climate adaptation policies in the Rockaway Peninsula of New York City produce unequal outcomes despite their ostensibly neutral design, framing resilience as an environmental and climate justice problem. Situated within a landscape marked by stark socioeconomic disparities, aging housing stock, and high exposure to coastal flooding, the study demonstrates that existing adaptation strategies—centered on uniform technical standards, insurance frameworks, and large-scale coastal infrastructure—systematically advantage actors with greater financial and institutional capacity while leaving low-income residents, particularly renters, disproportionately vulnerable.

The analysis identifies three core dynamics underlying this “unequal-by-design” resilience regime: (1) the stratified feasibility of compliance …

Density Dependence During Evolutionary Rescue Increases Extinction Risk But Does Not Prevent Adaptation, Laure Olazcuaga, Brett A. Melbourne, Scott W. Nordstrom, Ruth A. Hufbauer

Publications, Reports and Presentations

Evolutionary rescue allows populations to adapt and persist despite severe environmental change. While well studied under density-independent conditions, the role of density dependence, including competition, remains unclear. Theoretical models offer conflicting predictions, with density dependence either increasing extinction risk or enhancing adaptation. We empirically tested how density dependence influences evolutionary rescue by exposing experimental populations to a stressful environment for six generations under density-dependent or independent conditions, with populations where either evolution was possible or was prevented by replacing individuals each generation. Density dependence suppressed population size and increased extinction risk, whereas density independence enabled rapid growth, especially in genetically …

A Strategy To Identify Biliary Atresia Efficiently: A Perspective From A Texas Center, Sanjiv Harpavat, Tebyan A Rabbani, Ashley M Upton, Sridevi Devaraj, Jose A Hernandez, Benjamin L Shneider

Faculty, Staff and Students Publications

Infants with biliary atresia are often diagnosed after 60 days of life because the disease is difficult to detect in its early stages. However, infants treated before 30-45 days of life have the best long-term outcomes. To help accelerate the biliary atresia diagnosis, we have developed a streamlined strategy that involves two sequential tests: (1) direct or conjugated bilirubin measurements and (2) a feeding abdominal ultrasound exam. In this review, the strategy is shared to encourage others to provide feedback as well as to consider incorporating portions into their own clinical workflows.

Point-Of-Care Ultrasound Foundations In Physics And Image Acquisition: An Innovative Hands-On Active Learning Workshop, Cherie Tator, Saul Flores, Alan Riley, Kiyetta Alade

Faculty, Staff and Students Publications

Introduction: We developed an innovative, active learning workshop to introduce foundations of point-of-care ultrasound (POCUS) physics and instrumentation. The workshop design aimed to reduce cognitive load and encourage learner-centered engagement through hands-on exploration that reinforces key principles and connects theory to practice.

Methods: First-year medical students participated in small-group, student-driven exercises to explore POCUS machine controls, transducers, and image acquisition skills. Each group was supported by a faculty member to guide activities and ensure accuracy. Students scanned pickles, hard-boiled eggs, and olives with pits; these items were selected for their low cost, sonographic characteristics, and recognizability. Later in the semester, …

Pd-L1-Centric Whole Blood-Based Immune Signature Profiles Of Tuberculosis Patients During Therapy, Johanna Eggeling, Martina Sester, Christoph Lange, Jan Heyckendorf, Barbara Kalsdorf, Anna M Mandalakas, Andrew R Dinardo, David Lewinsohn, Dagmar Schaub, Tina Schmidt, Eva Tolosa, Maja Reimann, Patricia M Sánchez Carballo

Faculty, Staff and Students Publications

This prospective study investigated whole blood-based immune cell biomarkers for pulmonary tuberculosis (TB) immunoprofiling. Blood samples from 34 healthy controls and 51 tuberculosis patients were analyzed at three timepoints: Prior to therapy (T0), after 14 days of therapy (T1), and at the end of treatment (Te). Using multiparameter flow cytometry, 386 immune cell populations were analyzed. Predictive models were developed using two machine learning algorithms. A TB5LF change score, which was based on five cell populations, effectively distinguished tuberculosis patients from controls (AUC = 0.89) and tuberculosis patients before and at the end of treatment (AUC = 0.92). Similarly, the …

Predictors Of Inpatient Rn Turnover In Rural And Urban Vha Hospitals, Katherine G Bay, Chase S Eck, Melissa K Knox, Paras Mehta, Laura A Petersen

Faculty, Staff and Students Publications

Background: The rising demand for health care delivery and an aging workforce is of particular concern in rural areas, where health care access depends upon an adequate nursing workforce. To address this shortage and optimize care, it is essential to measure when registered nurses (RN) leave inpatient direct care positions (ie, inpatient RN turnover) and identify modifiable factors correlated with RN turnover.

Objectives: Apply a novel method for characterizing inpatient RN turnover to understand factors associated with variation in RNs leaving inpatient positions at rural and urban Veterans Health Administration (VHA) hospitals.

Project design: Retrospective cohort study.

Subjects: Direct care …

Sodium Supplementation Algorithm To Promote Growth In Infants Who Are Preterm: Randomized Clinical Trial, Brianna M Liberio, Gregory M Sokol, Hannah Rakow, Kelly Mosesso, Valerie Hole, William W Wong, Shaji K Chacko, Jeffrey L Segar

Faculty, Staff and Students Publications

Objective: Evaluate the effectiveness of an algorithm using urine sodium (Na) concentration to guide dietary Na supplementation compared with standard care to promote growth in infants who are preterm.

Methods: A randomized trial was conducted in 4 neonatal units in Indianapolis, Indiana, involving infants between 250/7 to 296/7 weeks gestation with birthweight > 500 g. Study arms consisted of standard care or use of algorithm beginning at 14 to 17 days postnatal age. The primary outcomes were somatic growth (weight, length, and head circumference) measured by change in Z-score between aged 2 weeks and 36 weeks postmenstrual age (PMA). Secondary outcomes …

Association Of Alcohol Use With Helmet Use In Cyclists: Analysis Of The National Trauma Data Bank, Daniel C Brock, Gaibo Yan, Chad T Wilson, Emanuel Narcis Husu

Faculty, Staff and Students Publications

Background: Helmet use significantly reduces the risk of traumatic brain injury among cyclists; however, the influence of alcohol use on helmet-wearing adherence remains understudied in large national data sets. The goal of this study was to investigate the relationship between alcohol use and helmet use in injured cyclists.

Methods: This study is a retrospective cross-sectional analysis of 155 766 cyclists with traumatic injuries from the National Trauma Data Bank spanning 8 years (2017-2023). Cyclists were categorized by blood alcohol concentration (BAC) as follows: not screened, sober (BAC < 0.02), impaired (BAC 0.02-0.08), intoxicated (BAC ≥0.08), and multidrug intoxicated (BAC ≥0.08 plus ≥1 positive drug screen). The primary outcome was helmet usage. Secondary outcomes included mortality, hospital and intensive care unit length of stay, Injury Severity Score, and adverse events. Comorbid substance use disorders were considered as covariates.

Results: Alcohol use was associated with a dose-response decrease in helmet use. Helmet …

Phase I Study Of Niraparib With Radiotherapy For Treatment Of Metastatic And Locally Advanced Invasive Carcinoma Of The Cervix (Nivix), Piyush Pathak, Eunji Jo, Susan Hilsenbeck, Matthew L Anderson, Alfredo Echeverria, Shelly Sharma, Jan Sunde, Tracilyn Hall, Anthony Costales, Claire Hoppenot, Michelle Ludwig

Faculty, Staff and Students Publications

Introduction: This Phase I study evaluated the safety and tolerability of concurrent niraparib, an oral poly(ADP-ribose) polymerase (PARP) 1/2 inhibitor, with definitive radiotherapy in women with locally advanced or platinum-sensitive metastatic cervical cancer. Dose escalation followed a Bayesian Optimal Interval (BOIN) design with a target dose-limiting toxicity (DLT) rate of 30%.

Methods: Women ≥18 years with FIGO stage IIIC2 (bulky nodes >1 cm) or stage IV cervical cancer demonstrating response to platinum-based induction chemotherapy were eligible. Niraparib 100 mg was administered daily concurrent with pelvic radiotherapy (45-57.5 Gy via IMRT with nodal boosts) and brachytherapy, continuing 28 days post-radiation. Per …

Phase 1 Trial Of Withania Somnifera Leaf Extract (Rh324) In Advanced Non-Small Cell Lung Cancer Including [18f]Fdg Pet/Ct As A Short-Term Metabolic Biomarker To Assess Efficacy: A Novel Model For Assessment Of Complimentary Therapies In Early Phase Human Clinical Trials, Jin Uk Heo, Santosh Rao, Herbert B Newton, Afshin Dowlati, Raymond F Muzic, Arash Kardan

Faculty, Staff and Students Publications

Background: Withania somnifera (WS), commonly known as ashwagandha, has been used in the traditional medical system of India. It has shown significant activity against numerous solid tumor varieties in pre-clinical in vitro and in vivo studies. This study focuses on RH324 (ReHeva Biosciences, Columbus, OH), a pharmaceutical-grade formulation derived from WS, which has received FDA allowance for clinical development as a botanical drug in the treatment of cancer.

Methods: A phase 1 open label dose ranging study of oral RH324 in advanced non-small cell lung cancer (NSCLC) was conducted. The primary endpoint of the study was assessment of short-term safety …

Cultured Ex Vivo Human Brain Tissue Maintains Cell-Type Transcriptional Identities, J P Mcginnis, Sai Mallannagari, Maria Camila Guevara, Joshua Ortiz-Guzman, Benjamin D W Belfort, Suyang Bao, Snigdha Srivastava, Maria Morkas, Emily Ji, Kalman A Katlowitz, Angela Addison, Evelyne K Tantry, Carrie A Mohila, Melissa M Blessing, Nisha Gadgil, Samuel G Mcclugage, David F Bauer, William E Whitehead, Guillermo Aldave, Omar Tanweer, Naser Jaleel, Ali Jalali, Akash J Patel, Sameer A Sheth, Howard L Weiner, Shankar Gopinath, Ganesh Rao, Akdes Serin Harmanci, Daniel Curry, Benjamin R Arenkiel

Faculty, Staff and Students Publications

There is growing recognition of the need for human-based models of the nervous system and its diseases. Studies have investigated the electrophysiological properties of neurons in ex vivo human brain tissue, but the maintenance of other cell types remains unclear. We therefore used single-nucleus RNA sequencing of six patient samples to determine how well various cell types maintain their transcriptional identities over two weeks in organotypic slice culture (day 0, with 83 501 nuclei, and day 14, with 45 738). For each patient sample (two pediatric temporal lobectomies, one adult frontal cortex, two glioblastomas, and one medulloblastoma), we generated correlations …

Astrocytic Sox9 Overexpression In Alzheimer’S Disease Mouse Models Promotes Aβ Plaque Phagocytosis And Preserves Cognitive Function, Dong-Joo Choi, Sanjana Murali, Wookbong Kwon, Junsung Woo, Eun-Ah Christine Song, Yeunjung Ko, Debosmita Sardar, Brittney Lozzi, Yi-Ting Cheng, Michael R Williamson, Teng-Wei Huang, Kaitlyn Sanchez, Joanna Jankowsky, Benjamin Deneen

Faculty, Staff and Students Publications

Astrocytes play essential roles in the brain, and their dysfunction is associated with nearly every form of neurological disease. Despite their ubiquity, knowledge of how astrocytes contribute to disease pathogenesis is incomplete; accordingly, harnessing their biology toward therapeutics remains a major challenge. Here we show that the transcription factor Sox9 plays a context-specific role in maintaining astrocyte function and circuit activity in the aging hippocampus and Alzheimer's disease (AD) models. We found that Sox9 overexpression in astrocytes in AD models clears existing amyloid beta (Aβ) plaques and preserves cognitive function. Mechanistically, Sox9 promotes the phagocytosis of Aβ plaques by astrocytes …

Mapping The Structural Connections Between The Anterior Cingulate Cortex And The Insula/Ventrolateral Prefrontal Cortex.Mapping The Structural Connections Between The Anterior Cingulate Cortex And The Insula/Ventrolateral Prefrontal Cortex, Wei Tang, Javier Guaje, Shreyas Fadnavis, Sarah R Heilbronner, Eleftherios Garyfallidis

Faculty, Staff and Students Publications

The anterior cingulate cortex (ACC) is functionally closely related with the insula and the ventral lateral prefrontal cortex (vlPFC). The ACC and insula are the main hubs of the salience network, a set of functionally related brain regions involved in detecting salient stimuli and coordinating inter-network communication, while communication between ACC and vlPFC is closely linked to inhibitory control. However, despite strong indirect evidence from nonhuman primate (NHP) tract tracing, the structural connections between the ACC and the insula/vlPFC remain poorly understood in the human brain, in part because standard approaches fail to capture this projection. In this study, we …

Combinatorial Effects Of Multi-Site Stimulation On Depression-Related Brain Regions: Clinical Data Analysis And Predictive Modeling, Atefeh Ghazavi, Koorosh Mirpour, Masoud Soroush, Eleonora Bartoli, Nisha Giridharan, Denise Oswalt, Nicole R Provenza, Anusha Allawala, Wayne Goodman, Sameer A Sheth, Nader Pouratian

Faculty, Staff and Students Publications

Background: Despite growing evidence supporting deep brain stimulation (DBS) for treatment- resistant depression (TRD), how stimulation delivered across hemispheres or across multiple targets interact to shape large-scale network activity remains poorly characterized.

Objective: Using a unique opportunity to simultaneously stimulate the subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VC/VS) in subjects with TRD while recording neural activity across putative prefrontal networks underlying depression via intracranial electrodes, we investigated whether bilateral or multi-target stimulation has additive, synergistic/super-additive, or antagonistic/sub-additive effects on power modulation across depression-related brain networks.

Methods: Four DBS leads, and ten stereo-electroencephalography (sEEG) leads were implanted in depression-related prefrontal …