Cognitive Science Commons^™

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

The Effect Of Birthweight And Gestational Age On Cognitive Function In Midlife: The Bogalusa Heart Study, Eunsun Gill, David J Libon, Soo Jung Kang, Ileana De Anda-Duran, Lydia A Bazzano, Wei Chen, Camilo Fernandez-Alonso, Emily W Harville

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Although the relationships between birthweight, gestational age (GA), and cognitive function (CF) before midlife have been demonstrated, the relationships after midlife and potential racial disparities remain inconclusive. This study examined the association between birthweight, GA, and midlife CF stratified by race.

METHOD: 1,032 subjects from the Bogalusa Heart Study (67% Whites, 33% Blacks, mean age 48.1 ± 5.3 years) were studied. Cognition was assessed with tests measuring verbal episodic memory, working memory, attention, graphomotor information processing speed, and global CF. Each test was standardized by sex and age, then averaged. The global CF was computed by averaging all cognitive …

Selected Social And Lifestyle Correlates Of Brain Health Markers: The Cross-Cohort Collaboration Consortium, Leslie Grasset, Joshua C Bis, Stefan Frenzel, Daniel Kojis, Jeannette Simino, Amber Yaqub, Alexa Beiser, Claudine Berr, Jan Bressler, Robin Bülow, Charles S Decarli, Alison E Fohner, Laura B Harrington, Catherine Helmer, M Arfan Ikram, Rozenn N Lemaitre, Oscar L Lopez, W T Longstreth, Julia Neitzel, Michelle C Odden, Priya Palta, Carsten O Schmidt, Rajesh Talluri, Meike W Vernooij, Henry Völzke, Trudy Voortman, Quest Whalen, Katharina Wittfeld, Hans J Grabe, Thomas H Mosley, Bruce M Psaty, Frank J Wolters, Sudha Seshadri, Carole Dufouil

Faculty, Staff and Student Publications

Introduction: To investigate the associations of education level, marital status, and physical activity with dementia risk and brain MRI markers.

Methods: Data from six community-based samples from the Cross-Cohort Collaboration Consortium were analyzed. Self-reported education level, marital status, and physical activity at age 60 to 75 years were harmonized. Subsamples of participants with brain MRI markers at time of exposure were selected. Associations with dementia risk and cross-sectional MRI markers were meta-analyzed.

Results: Higher education level was associated with lower dementia risk (hazard ratio [HR] = 0.65, 95% confidence interval [CI] = 0.59; 0.72 vs low level) but not significantly …

Detection Of Elder Abuse Through Emergency Care Technicians Screening Tool Revision For Home-Based Primary Care (Detect-Rpc): A Cluster Randomised Controlled Trial Study Protocol, Brad Cannell, Nicholas Sevey, Melvin D Livingston, Jason Burnett, Kristin Lees Haggerty, Carolyn Pickering

Faculty, Staff and Student Publications

Introduction: The annual prevalence of elder mistreatment (EM) in cognitively intact older adults is estimated to be 11%, yet the annual prevalence in older adults with Alzheimer's disease and related dementias (AD/ADRD) is estimated to be as high as 75%. Associated with a decrease in quality of life and increase in risk of mortality, EM represents a significant public health burden. Home-based primary care (HBPC) providers are uniquely positioned to address the critical need for robust EM screening and reporting, especially among individuals with AD/ADRD. This protocol seeks to adapt the Detection of Elder mistreatment Through Emergency Care Technicians (DETECT) …

A Genome-Wide Association Meta-Analysis Of All-Cause And Vascular Dementia, Mega Vascular Cognitive Impairment And Dementia (Megavcid) Consortium

Faculty, Staff and Students Publications

INTRODUCTION: Dementia is a multifactorial disease with Alzheimer's disease (AD) and vascular dementia (VaD) pathologies making the largest contributions. Yet, most genome-wide association studies (GWAS) focus on AD.

METHODS: We conducted a GWAS of all-cause dementia (ACD) and examined the genetic overlap with VaD. Our dataset includes 800,597 individuals, with 46,902 and 8702 cases of ACD and VaD, respectively. Known AD loci for ACD and VaD were replicated. Bioinformatic analyses prioritized genes that are likely functionally relevant and shared with closely related traits and risk factors.

RESULTS: For ACD, novel loci identified were associated with energy transport (SEMA4D), neuronal excitability …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Faculty, Staff and Student Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Identifying Covariate-Related Subnetworks For Whole-Brain Connectome Analysis, Shuo Chen, Yuan Zhang, Qiong Wu, Chuan Bi, Peter Kochunov, L Elliot Hong

Faculty, Staff and Student Publications

Whole-brain connectome data characterize the connections among distributed neural populations as a set of edges in a large network, and neuroscience research aims to systematically investigate associations between brain connectome and clinical or experimental conditions as covariates. A covariate is often related to a number of edges connecting multiple brain areas in an organized structure. However, in practice, neither the covariate-related edges nor the structure is known. Therefore, the understanding of underlying neural mechanisms relies on statistical methods that are capable of simultaneously identifying covariate-related connections and recognizing their network topological structures. The task can be challenging because of false-positive …

Opportunities And Challenges For The Use Of Deep Brain Stimulation In The Treatment Of Refractory Major Depression, Prashin Unadkat, Joao Quevedo, Jair Soares, Albert Fenoy

Faculty, Staff and Student Publications

Major Depressive Disorder continues to remain one of the most prevalent psychiatric diseases globally. Despite multiple trials of conventional therapies, a subset of patients fail to have adequate benefit to treatment. Deep brain stimulation (DBS) is a promising treatment in this difficult to treat population and has shown strong antidepressant effects across multiple cohorts. Nearly two decades of work have provided insights into the potential for chronic focal stimulation in precise brain targets to modulate pathological brain circuits that are implicated in the pathogenesis of depression. In this paper we review the rationale that prompted the selection of various brain …

Submental Island Flaps For Lateral Reconstruction: Technical Refinements For Optimal Outcomes And Resource Efficiency, My V H Nguyen, Yinan Xu, Kelly A Vaughn, Arturo E Hernandez

Faculty, Staff and Student Publications

Research suggests that bilingual children experience an extension or delay in the closing of the sensitive/critical period of language development due to multiple language exposure. Moreover, bilingual experience may impact the development of subcortical regions, although these conclusions are drawn from research with adults, as there is a scarcity of research during late childhood and early adolescence. The current study included 1215 bilingual and 5894 monolingual children from the ABCD Study to examine the relationship between subcortical volume and English vocabulary in heritage Spanish bilingual and English monolingual children, as well as volumetric differences between the language groups. We also …

Large-Scale Investigation Of White Matter Structural Differences In Bilingual And Monolingual Children: An Adolescent Brain Cognitive Development Data Study, Juliana Ronderos, Jennifer Zuk, Arturo E Hernandez, Kelly A Vaughn

Faculty, Staff and Student Publications

Emerging research has provided valuable insights into the structural characteristics of the bilingual brain from studies of bilingual adults; however, there is a dearth of evidence examining brain structural alterations in childhood associated with the bilingual experience. This study examined the associations between bilingualism and white matter organization in bilingual children compared to monolingual peers leveraging the large-scale data from the Adolescent Brain Cognitive Development (ABCD) Study. Then, 446 bilingual children (ages 9-10) were identified from the participants in the ABCD data and rigorously matched to a group of 446 monolingual peers. Multiple regression models for selected language and cognitive …

Blood-Based Transcriptomic Biomarkers Are Predictive Of Neurodegeneration Rather Than Alzheimer's Disease, Artur Shvetcov, Shannon Thomson, Jessica Spathos, Ann-Na Cho, Heather M Wilkins, Shea J Andrews, Fabien Delerue, Timothy A Couttas, Jasmeen Kaur Issar, Finula Isik, Simranpreet Kaur, Eleanor Drummond, Carol Dobson-Stone, Shantel L Duffy, Natasha M Rogers, Daniel Catchpoole, Wendy A Gold, Russell H Swerdlow, David A Brown, Caitlin A Finney

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a growing global health crisis affecting millions and incurring substantial economic costs. However, clinical diagnosis remains challenging, with misdiagnoses and underdiagnoses being prevalent. There is an increased focus on putative, blood-based biomarkers that may be useful for the diagnosis as well as early detection of AD. In the present study, we used an unbiased combination of machine learning and functional network analyses to identify blood gene biomarker candidates in AD. Using supervised machine learning, we also determined whether these candidates were indeed unique to AD or whether they were indicative of other neurodegenerative diseases, such as …

Multiancestry Analysis Of The Hla Locus In Alzheimer’S And Parkinson’S Diseases Uncovers A Shared Adaptive Immune Response Mediated By Hla-Drb1*04 Subtypes, Yann Le Guen, Guo Luo, Aditya Ambati, Vincent Damotte, Iris Jansen, Eric Yu, Aude Nicolas, Itziar De Rojas, Thiago Peixoto Leal, Akinori Miyashita, Céline Bellenguez, Michelle Mulan Lian, Kayenat Parveen, Takashi Morizono, Hyeonseul Park, Benjamin Grenier-Boley, Tatsuhiko Naito, Fahri Küçükali, Seth D Talyansky, Selina Maria Yogeshwar, Vicente Sempere, Wataru Satake, Victoria Alvarez, Beatrice Arosio, Michael E Belloy, Luisa Benussi, Anne Boland, Barbara Borroni, María J Bullido, Paolo Caffarra, Jordi Clarimon, Antonio Daniele, Daniel Darling, Stéphanie Debette, Jean-François Deleuze, Martin Dichgans, Carole Dufouil, Emmanuel During, Emrah Düzel, Daniela Galimberti, Guillermo Garcia-Ribas, José María García-Alberca, Pablo García-González, Vilmantas Giedraitis, Oliver Goldhardt, Caroline Graff, Edna Grünblatt, Olivier Hanon, Lucrezia Hausner, Stefanie Heilmann-Heimbach, Henne Holstege, Jakub Hort, Yoo Jin Jung, Deckert Jürgen, Silke Kern, Teemu Kuulasmaa, Kun Ho Lee, Ling Lin, Carlo Masullo, Patrizia Mecocci, Shima Mehrabian, Alexandre De Mendonça, Mercè Boada, Pablo Mir, Susanne Moebus, Fermin Moreno, Benedetta Nacmias, Gael Nicolas, Shumpei Niida, Børge G Nordestgaard, Goran Papenberg, Janne Papma, Lucilla Parnetti, Florence Pasquier, Pau Pastor, Oliver Peters, Yolande A L Pijnenburg, Gerard Piñol-Ripoll, Julius Popp, Laura Molina Porcel, Raquel Puerta, Jordi Pérez-Tur, Innocenzo Rainero, Inez Ramakers, Luis M Real, Steffi Riedel-Heller, Eloy Rodriguez-Rodriguez, Owen A Ross, Luis Jose Royo, Dan Rujescu, Nikolaos Scarmeas, Philip Scheltens, Norbert Scherbaum, Anja Schneider, Davide Seripa, Ingmar Skoog, Vincenzo Solfrizzi, Gianfranco Spalletta, Alessio Squassina, John Van Swieten, Raquel Sánchez-Valle, Eng-King Tan, Thomas Tegos, Charlotte Teunissen, Jesper Qvist Thomassen, Lucio Tremolizzo, Martin Vyhnalek, Frans Verhey, Margda Waern, Jens Wiltfang, Jing Zhang, Eadb, Gr@Ace Study Group, Degesco Consortium, Demgene, Eadi, Gerad, Asian Parkinson’S Disease Genetics Consortium, Henrik Zetterberg, Kaj Blennow, Zihuai He, Julie Williams, Philippe Amouyel, Frank Jessen, Patrick G Kehoe, Ole A Andreassen, Cornelia Van Duin, Magda Tsolaki, Pascual Sánchez-Juan, Ruth Frikke-Schmidt, Kristel Sleegers, Tatsushi Toda, Anna Zettergren, Martin Ingelsson, Yukinori Okada, Giacomina Rossi, Mikko Hiltunen, Jungsoo Gim, Kouichi Ozaki, Rebecca Sims, Jia Nee Foo, Wiesje Van Der Flier, Takeshi Ikeuchi, Alfredo Ramirez, Ignacio Mata, Agustín Ruiz, Ziv Gan-Or, Jean-Charles Lambert, Michael D Greicius, Emmanuel Mignot

Faculty, Staff and Students Publications

Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson’s disease (PD) and Alzheimer’s disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1*04 subtypes best accounted for the association, strongest with HLA-DRB1*04:04 and HLA-DRB1*04:07, and intermediary with HLA-DRB1*04:01 and HLA-DRB1*04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. …

The Effects Of Equine-Assisted Activities On Execution Function In Children Aged 7–8 Years: A Randomized Controlled Trial, Xiaodong Cheng, Kexin Zhen, Yongzhao Fan, Qian Tang, Hao Wu

Faculty, Staff and Student Publications

BACKGROUND: This study examines the effects of equine-assisted activity (EAA) training on executive functioning (EF) (inhibitory control, working memory, and cognitive flexibility) in children aged 7-8 years.

METHODS: Twenty-Four healthy children aged 7-8 years with a 1:1 ratio of boys to girls were randomly divided into EAA group (EAAG) or control group (CG). The subjects in EAAG were trained for 12 weeks, and CG participated in normal daily activities. All subjects conducted the Flanker, 1-Back, and More-odd shifting tasks at rest and recorded the average reaction times (RTs) and accuracy data of each task.

RESULTS: After 12 weeks of EAA …

Resilience To Stress Across The Lifespan: Childhood Maltreatment, Heart Rate Variability, And Bereavement, Michelle A Chen, Robert Suchting, Julian F Thayer, Christopher P Fagundes

Faculty, Staff and Student Publications

Following a stressful life event, there is considerable variation in how individuals respond and adapt. Multiple models of risk and resilience show that adverse childhood experiences may be associated with an individual's response to stress later in life. While there is considerable support that early adversity can sensitize the stress response system and lead to adverse outcomes later in life, there is mounting evidence that in adolescence and young adulthood, certain biological predispositions to stress may be associated with resilience in the context of subsequent stressors. In this study, we evaluated how individual differences in vagally mediated heart rate variability …

Genetic Loci Of Beta-Aminoisobutyric Acid Are Associated With Aging-Related Mild Cognitive Impairment, Einat Granot-Hershkovitz, Brian Spitzer, Yunju Yang, Wassim Tarraf, Bing Yu, Eric Boerwinkle, Myriam Fornage, Thomas H Mosley, Charles Decarli, Bruce S Kristal, Hector M González, Tamar Sofer

Faculty, Staff and Student Publications

We studied the genetic associations of a previously developed Metabolomic Risk Score (MRS) for Mild Cognitive Impairment (MCI) and beta-aminoisobutyric acid metabolite (BAIBA)-the metabolite highlighted by results from a genome-wide association study (GWAS) of the MCI-MRS, and assessed their association with MCI in datasets of diverse race/ethnicities. We first performed a GWAS for the MCI-MRS and BAIBA, in Hispanic/Latino adults (n = 3890) from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We identified ten independent genome-wide significant (p value <5 × 10-8) variants associated with MCI-MRS or BAIBA. Variants associated with the MCI-MRS are located in the Alanine-Glyoxylate Aminotransferase 2 (AGXT2 gene), which is known to be associated with BAIBA metabolism. Variants associated with BAIBA are located in the AGXT2 gene and in the SLC6A13 gene. Next, we tested the variants' association with MCI in independent datasets of n = 3178 HCHS/SOL older individuals, n = 3775 European Americans, and n = 1032 African Americans from the Atherosclerosis Risk In Communities (ARIC) study. Variants were considered associated with MCI if their p value <0.05 in the meta-analysis of the three datasets and their direction of association was consistent with expectation. Rs16899972 and rs37369 from the AGXT2 region were associated with MCI. Mediation analysis supported the mediation effect of BAIBA between the two genetic variants and MCI (p value = 0.004 for causal mediated effect). In summary, genetic variants in the AGXT2 region are associated with MCI in Hispanic/Latino, African, and European American populations in the USA, and their effect is likely mediated by changes in BAIBA levels.

Increased Risk Of Dementia In Patients With Atopic Dermatitis: A Nationwide Population-Based Cohort Study, Yu Ri Woo, Minah Cho, Kyung Do Han, Sang Hyun Cho, Ji Hyun Lee

Faculty, Staff and Student Publications

Atopic dermatitis (AD) is a chronic inflammatory skin disorder with bimodal incidence peaks in early childhood and middle-aged and older adults. Few studies have focused on the risk of dementia in AD. The aims of this study were to analyse the incidence, and risk factors for dementia in patients with AD. This nationwide population-based retrospective cohort study enrolled 38,391 adults ≥ 40 years of age with AD and 2,643,602 controls without AD from the Korean National Health Insurance System (NHIS) database from 2009 to 2016. The cumulative incidence probability of all-cause dementia, Alzheimer's disease, or vascular dementia at 8 years …

Sensing Fear: Fast And Precise Threat Evaluation In Human Sensory Cortex, Wen Li, Andreas Keil

Faculty, Staff and Student Publications

Animal models of threat processing have evolved beyond the amygdala to incorporate a distributed neural network. In human research, evidence has intensified in recent years to challenge the canonical threat circuitry centered on the amygdala, urging revision of threat conceptualization. A strong surge of research into threat processing in the sensory cortex in the past decade has generated particularly useful insights to inform the reconceptualization. Here, synthesizing findings from both animal and human research, we highlight sensitive, specific, and adaptable threat representations in the sensory cortex, arising from experience-based sculpting of sensory coding networks. We thus propose that the human …

Consistency Of Efficacy Results Across Various Clinical Measures And Statistical Methods In The Lecanemab Phase 2 Trial Of Early Alzheimer’S Disease, Shobha Dhadda, Michio Kanekiyo, David Li, Chad J Swanson, Michael Irizarry, Scott Berry, Lynn D Kramer, Donald A Berry

Faculty, Staff and Student Publications

BACKGROUND: Lecanemab (BAN2401) is a humanized IgG1 monoclonal antibody that preferentially targets soluble aggregated Aβ species (protofibrils) with activity at insoluble fibrils and slowed clinical decline in an 18-month phase 2 proof-of-concept study (Study 201; ClinicalTrials.gov NCT01767311) in 856 subjects with early Alzheimer's disease (AD). In this trial, subjects were randomized to five lecanemab dose regimens or placebo. The primary efficacy endpoint was change from baseline in the Alzheimer's Disease Composite Score (ADCOMS) at 12 months with Bayesian analyses. The key secondary endpoints were ADCOMS at 18 months and Clinical Dementia Rating-Sum-of-Boxes (CDR-SB) and Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog14) …

Interventions For Preventing And Ameliorating Cognitive Deficits In Adults Treated With Cranial Irradiation, Matthew A Kirkman, Julia Day, Karin Gehring, Karolis Zienius, David Grosshans, Martin Taphoorn, Jing Li, Paul D Brown

Faculty, Staff and Student Publications

BACKGROUND: Cognitive deficits are common in people who have received cranial irradiation and have a serious impact on daily functioning and quality of life. The benefit of pharmacological and non-pharmacological treatment of cognitive deficits in this population is unclear. This is an updated version of the original Cochrane Review published in Issue 12, 2014.

OBJECTIVES: To assess the effectiveness of interventions for preventing or ameliorating cognitive deficits in adults treated with cranial irradiation.

SEARCH METHODS: For this review update we searched the Cochrane Register of Controlled Trials (CENTRAL), MEDLINE via Ovid, Embase via Ovid, and PsycInfo via Ovid to 12 …

Assessing Naming Errors Using An Automated Machine Learning Approach, Tatiana T Schnur, Chia-Ming Lei

Faculty, Staff and Student Publications

OBJECTIVE: After left hemisphere stroke, 20%-50% of people experience language deficits, including difficulties in naming. Naming errors that are semantically related to the intended target (e.g., producing "violin" for picture HARP) indicate a potential impairment in accessing knowledge of word forms and their meanings. Understanding the cause of naming impairments is crucial to better modeling of language production as well as for tailoring individualized rehabilitation. However, evaluation of naming errors is typically by subjective and laborious dichotomous classification. As a result, these evaluations do not capture the degree of semantic similarity and are susceptible to lower interrater reliability because of …

Distress Tolerance: Prospective Associations With Cognitive-Behavioral Therapy Outcomes In Adults With Posttraumatic Stress And Substance Use Disorders, Anka A Vujanovic, Heather E Webber, Shelby J Mcgrew, Charles E Green, Scott D Lane, Joy M Schmitz

Faculty, Staff and Student Publications

Distress tolerance (DT; perceived or actual ability to tolerate aversive physical or emotional states) is related to both posttraumatic stress disorder (PTSD) symptoms and substance use disorders (SUD). This investigation evaluates self-report and behavioral measures of DT as potential predictors of PTSD and SUD cognitive-behavioral therapy outcomes. Participants included 41 treatment-seeking adults (53.7% women; 73.2% African American; Mage= 44.90, SD = 9.68) who met at least four symptoms of DSM-5 PTSD and DSM-IV substance dependence, assessed via structured interviews. At baseline (pre-treatment), participants completed the Distress Tolerance Scale (DTS), Mirror-Tracing Persistence Task (MTPT), Breath Holding task, and Paced Auditory …

Pattern Differentiation And Tuning Shift In Human Sensory Cortex Underlie Long-Term Threat Memory, Yuqi You, Lucas R Novak, Kevin J Clancy, Wen Li

Faculty, Staff and Student Publications

The amygdala-prefrontal-cortex circuit has long occupied the center of the threat system 1, but new evidence has rapidly amassed to implicate threat processing outside this canonical circuit 2-4. Through non-human research, the sensory cortex has emerged as a critical substrate for long-term threat memory 5-9, underpinned by sensory cortical pattern separation/completion 10,11 and tuning shift 12,13. In humans, research has begun to associate the human sensory cortex with long-term threat memory 14,15, but the lack of mechanistic insights obscures a direct linkage. Towards that end, …

Ultrafast Two-Photon Imaging Of A High-Gain Voltage Indicator In Awake Behaving Mice, Vincent Villette, Mariya Chavarha, Ivan K Dimov, Jonathan Bradley, Lagnajeet Pradhan, Benjamin Mathieu, Stephen W Evans, Simon Chamberland, Dongqing Shi, Renzhi Yang, Benjamin B Kim, Annick Ayon, Abdelali Jalil, François St-Pierre, Mark J Schnitzer, Guoqiang Bi, Katalin Toth, Jun Ding, Stéphane Dieudonné, Michael Z Lin

Faculty, Staff and Students Publications

Optical interrogation of voltage in deep brain locations with cellular resolution would be immensely useful for understanding how neuronal circuits process information. Here, we report ASAP3, a genetically encoded voltage indicator with 51% fluorescence modulation by physiological voltages, submillisecond activation kinetics, and full responsivity under two-photon excitation. We also introduce an ultrafast local volume excitation (ULoVE) method for kilohertz-rate two-photon sampling in vivo with increased stability and sensitivity. Combining a soma-targeted ASAP3 variant and ULoVE, we show single-trial tracking of spikes and subthreshold events for minutes in deep locations, with subcellular resolution and with repeated sampling over days. In the …