Emily L. Dennis

ORCID: 0000-0001-7112-4009
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About
Contact & Profiles
Research Areas
  • Traumatic Brain Injury Research
  • Advanced Neuroimaging Techniques and Applications
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Cardiac Arrest and Resuscitation
  • Neonatal and fetal brain pathology
  • Posttraumatic Stress Disorder Research
  • Anesthesia and Neurotoxicity Research
  • Stress Responses and Cortisol
  • Mental Health Research Topics
  • Health, Environment, Cognitive Aging
  • Gender Roles and Identity Studies
  • Genetic Associations and Epidemiology
  • Child Abuse and Trauma
  • Homicide, Infanticide, and Child Abuse
  • Neural dynamics and brain function
  • Child and Adolescent Psychosocial and Emotional Development
  • Resilience and Mental Health
  • Adolescent Sexual and Reproductive Health
  • Atomic and Subatomic Physics Research
  • Bone and Joint Diseases
  • Congenital heart defects research
  • Cerebral Palsy and Movement Disorders
  • Topic Modeling

University of Utah
2019-2025

George E. Wahlen Department of VA Medical Center
2020-2025

VA Salt Lake City Healthcare System
2021-2024

Icahn School of Medicine at Mount Sinai
2024

Anna Needs Neuroblastoma Answers
2024

Sunnybrook Health Science Centre
2023

Center for Clinical Research (United States)
2023

Madigan Army Medical Center
2023

McLean Hospital
2023

Uniformed Services University of the Health Sciences
2023

10.3758/cabn.10.4.470 article EN Cognitive Affective & Behavioral Neuroscience 2010-11-24

Structural and functional underconnectivity have been reported for multiple brain regions, systems, white matter tracts in individuals with autism spectrum disorders (ASD). Although recent developments complex network analysis established that the is a modular exhibiting small-world properties, level organization has not carefully examined ASD. Here we used resting-state MRI (n = 42 ASD, n 37 typically developing; TD) to show children adolescents ASD display reduced short long-range...

10.1016/j.nicl.2012.11.006 article EN cc-by NeuroImage Clinical 2012-11-16

Abstract The ENIGMA‐DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on white matter pathways human brain, as well normal variation its genetic associations. seven ENIGMA disorder‐oriented working groups used workflow to derive patterns deficits using coherent coordinated model disease across cohorts worldwide. This yielded largest studies detailing in schizophrenia spectrum disorder (SSD), bipolar...

10.1002/hbm.24998 article EN cc-by Human Brain Mapping 2020-04-16
Xin Wang Hong Xie Tian Chen Andrew S. Cotton Lauren E. Salminen and 92 more Mark W. Logue Emily K. Clarke‐Rubright John T. Wall Emily L. Dennis Erin N. O’Leary Chadi G. Abdallah Elpiniki Andrew Lee A. Baugh Jessica Bomyea Steven E. Bruce Richard A. Bryant Kyle Choi Judith K. Daniels Nicholas D. Davenport Richard J. Davidson Michael D. DeBellis Terri A. deRoon‐Cassini Seth G. Disner Negar Fani Kelene A. Fercho Jacklynn M. Fitzgerald Gina L. Forster Jessie L. Frijling Elbert Geuze Hassaan Gomaa Evan M. Gordon Daniel W. Grupe Ilan Harpaz‐Rotem Courtney C. Haswell Julia Herzog David Hofmann Michael Hollifield Bobak Hosseini Anna R. Hudson Jonathan Ipser Neda Jahanshad Tanja Jovanović Milissa L. Kaufman Anthony P. King Saskia B. J. Koch Inga K. Koerte Mayuresh S. Korgaonkar John H. Krystal Christine L. Larson Lauren A. M. Lebois Ifat Levy Gen Li Vincent A. Magnotta Antje Manthey Geoffrey May Katie A. McLaughlin Sven C. Mueller Laura Nawijn Scott M. Nelson Yuval Neria Jack B. Nitschke Miranda Olff Elizabeth A. Olson Matthew Peverill K. Luan Phan Faisal Rashid Kerry J. Ressler Isabelle M. Rosso Kelly Sambrook Christian Schmahl Martha E. Shenton Anika Sierk Jeffrey S. Simons Raluca M. Simons Scott R. Sponheim Murray B. Stein Dan J. Stein Jennifer S. Stevens Thomas Straube Benjamin Suarez‐Jimenez Marijo Tamburrino Sophia I. Thomopoulos Nic J.A. van der Wee Steven J.A. van der Werff Theo G.M. van Erp Sanne J.H. van Rooij Mirjam van Zuiden Tim Varkevisser Dick J. Veltman Robert Vermeiren Henrik Walter Li Wang Ye Zhu Xi Zhu Paul M. Thompson Rajendra A. Morey Israel Liberzon

10.1038/s41380-020-00967-1 article EN Molecular Psychiatry 2020-12-07

Pediatric concussion can disrupt functional brain network connectivity, but prospective longitudinal research is needed to clarify recovery and identify moderators of change. This study investigated connectivity (FC) up 6 months after pediatric concussion. concurrent cohort observational consecutively recruited children (aged 8 17 years) at 5 Canadian hospital emergency departments within 48 hours sustaining a or mild orthopaedic injury (OI). Children completed 3T MRI scanning postacutely (2...

10.1212/wnl.0000000000213502 article EN Neurology 2025-04-03

Recently, carriers of a common variant in the autism risk gene, CNTNAP2, were found to have altered functional brain connectivity using MRI. Here, we scanned 328 young adults with high-field (4-Tesla) diffusion imaging, test hypothesis that this gene would structural connectivity. All participants (209 women, 119 men, age: 23.4±2.17 SD years) 105-gradient high-angular-resolution imaging (HARDI) at 4 Tesla. After performing whole-brain fiber tractography full angular resolution scans, 70...

10.1089/brain.2011.0064 article EN Brain Connectivity 2011-12-01

Traumatic brain injury (TBI) often results in traumatic axonal and white matter (WM) damage, particularly to the corpus callosum (CC). Damage CC can lead impaired performance on neurocognitive tasks, but there is a high degree of heterogeneity impairment following TBI. Here we examined relation between microstructure function pediatric We used angular resolution diffusion-weighted imaging (DWI) evaluate structural integrity humans sample 32 children (23 males 9 females) with...

10.1523/jneurosci.1595-15.2015 article EN Journal of Neuroscience 2015-07-15

Abstract Recently, there has been a wealth of research into structural and functional brain connectivity, how they change over development. While we are far from complete understanding, these studies have yielded important insights human There is an ever growing variety methods for assessing each with its own advantages. Here review on the development and/or connectivity in both typically developing subjects neurodevelopmental disorders. Space limitations preclude exhaustive across all...

10.1016/j.ijdevneu.2013.05.007 article EN International Journal of Developmental Neuroscience 2013-05-27

Traumatic brain injury (TBI) is the leading cause of death and disability in children can lead to a wide range impairments. Brain imaging methods such as DTI (diffusion tensor imaging) are uniquely sensitive white matter (WM) damage that common TBI. However, higher-level analyses using tractography complicated by decreased FA (fractional anisotropy) characteristic TBI, which result premature tract endings. We used newly developed autoMATE (automated multi-atlas extraction) method identify...

10.1016/j.nicl.2015.02.002 article EN cc-by-nc-nd NeuroImage Clinical 2015-01-01

Background Smaller hippocampal volume in patients with posttraumatic stress disorder (PTSD) represents the most consistently reported structural alteration brain. Subfields of hippocampus play distinct roles encoding and processing memories, which are disrupted PTSD. We examined PTSD-associated alterations 12 subfields relation to global shape, clinical features. Methods Case-control cross-sectional studies U.S. military veterans (n = 282) from Iraq Afghanistan era were grouped into PTSD...

10.1002/da.22833 article EN Depression and Anxiety 2018-09-26
Delin Sun Gopalkumar Rakesh Courtney C. Haswell Mark Logue C. Lexi Baird and 94 more Erin N. O’Leary Andrew S. Cotton Hong Xie Marijo Tamburrino Tian Chen Emily L. Dennis Neda Jahanshad Lauren E. Salminen Sophia I. Thomopoulos Faisal Rashid Christopher R. K. Ching Saskia B. J. Koch Jessie L. Frijling Laura Nawijn Mirjam van Zuiden Xi Zhu Benjamin Suarez‐Jimenez Anika Sierk Henrik Walter Antje Manthey Jennifer S. Stevens Negar Fani Sanne J.H. van Rooij Murray B. Stein Jessica Bomyea Inga K. Koerte Kyle Choi Steven J.A. van der Werff Robert Vermeiren Julia Herzog Lauren A. M. Lebois Justin T. Baker Elizabeth A. Olson Thomas Straube Mayuresh S. Korgaonkar Elpiniki Andrew Ye Zhu Gen Li Jonathan Ipser Anna R. Hudson Matthew Peverill Kelly Sambrook Evan M. Gordon Lee A. Baugh Gina L. Forster Raluca M. Simons Jeffrey S. Simons Vincent A. Magnotta Adi Maron‐Katz Stefan S. du Plessis Seth G. Disner Nicholas D. Davenport Daniel W. Grupe Jack B. Nitschke Terri A. deRoon‐Cassini Jacklynn M. Fitzgerald John H. Krystal Ifat Levy Miranda Olff Dick J. Veltman Li Wang Yuval Neria Michael D. De Bellis Tanja Jovanović Judith K. Daniels Martha E. Shenton Nic J.A. van de Wee Christian Schmahl Milissa L. Kaufman Isabelle M. Rosso Scott R. Sponheim David Hofmann Richard A. Bryant Kelene A. Fercho Dan J. Stein Sven C. Mueller Bobak Hosseini K. Luan Phan Katie A. McLaughlin Richard J. Davidson Christine L. Larson Geoffrey May Scott M. Nelson Chadi G. Abdallah Hassaan Gomaa Amit Etkin Soraya Seedat Ilan Harpaz‐Rotem Israel Liberzon Theo G.M. van Erp Yann Quidé Xin Wang Paul M. Thompson Rajendra A. Morey

Results of neuroimaging datasets aggregated from multiple sites may be biased by site-specific profiles in participants' demographic and clinical characteristics, as well MRI acquisition protocols scanning platforms. We compared the impact four different harmonization methods on results obtained analyses cortical thickness data: (1) linear mixed-effects model (LME) that models random intercepts (LME

10.1016/j.neuroimage.2022.119509 article EN cc-by-nc-nd NeuroImage 2022-07-30
Paul M. Thompson Neda Jahanshad Christopher R. K. Ching Lauren E. Salminen Sophia I. Thomopoulos and 95 more Joanna K. Bright Bernhard T. Baune Sara Bertolín Janita Bralten Willem B. Bruin Robin Bülow Jian Chen Yann Chye Udo Dannlowski Carolien G. F. de Kovel Gary Donohoe Lisa T. Eyler Stephen V. Faraone Pauline Favre Courtney A. Filippi Thomas Frodl Daniel Garijo Yolanda Gil Hans J. Grabe Katrina L. Grasby Tomáš Hájek Laura K. M. Han Sean N. Hatton Kevin Hilbert Tiffany C. Ho Laurena Holleran Georg Homuth Norbert Hosten Josselin Houenou Iliyan Ivanov Tianye Jia Sinéad Kelly Marieke Klein Jun Soo Kwon Max A. Laansma Jeanne Leerssen Ulrike Lueken Abraham Nunes Joseph O’Neill Nils Opel Fabrizio Piras Fabrizio Piras Merel C. Postema Elena Pozzi Natalia Shatokhina Carles Soriano‐Mas Gianfranco Spalletta Daqiang Sun Alexander Teumer Amanda K. Tilot Leonardo Tozzi Celia van der Merwe Eus J.W. Van Someren Guido van Wingen Henry Völzke Esther Walton Lei Wang Anderson M. Winkler Katharina Wittfeld Margaret J. Wright Je‐Yeon Yun Guohao Zhang Yanli Zhang‐James Bhim M. Adhikari Ingrid Agartz Moji Aghajani André Alemán Robert R. Althoff André Altmann Ole A. Andreassen David Baron Brenda Bartnik‐Olson Janna Marie Bas‐Hoogendam Arielle Baskin–Sommers Carrie E. Bearden Laura A. Berner Premika S.W. Boedhoe Rachel M. Brouwer Jan K. Buitelaar Karen Caeyenberghs Charlotte A. M. Cecil Ronald A. Cohen James H. Cole Patricia Conrod Stéphane A. De Brito Sonja M. C. de Zwarte Emily L. Dennis Sylvane Desrivières Danai Dima Stefan Ehrlich Carrie Esopenko Graeme Fairchild Simon E. Fisher Jean‐Paul Fouché Clyde Francks

This review summarizes the last decade of work by ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance over 1,400 scientists across 43 countries, studying human brain in health and disease. Building on large-scale genetic studies that discovered first robustly replicated loci associated with metrics, has diversified into 50 working groups (WGs), pooling worldwide data expertise to answer fundamental questions neuroscience, psychiatry, neurology,...

10.31234/osf.io/qnsh7 preprint EN 2019-07-04
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