Eric Feczko

ORCID: 0000-0003-1337-5517
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Health, Environment, Cognitive Aging
  • Mental Health Research Topics
  • Attention Deficit Hyperactivity Disorder
  • Stress Responses and Cortisol
  • Neonatal and fetal brain pathology
  • Autism Spectrum Disorder Research
  • Primate Behavior and Ecology
  • Face Recognition and Perception
  • Maternal Mental Health During Pregnancy and Postpartum
  • Infant Development and Preterm Care
  • EEG and Brain-Computer Interfaces
  • Visual perception and processing mechanisms
  • Cognitive Abilities and Testing
  • Neural and Behavioral Psychology Studies
  • Child and Adolescent Psychosocial and Emotional Development
  • Atomic and Subatomic Physics Research
  • Memory and Neural Mechanisms
  • Diet and metabolism studies
  • Birth, Development, and Health
  • Medical Imaging Techniques and Applications
  • Child and Animal Learning Development

University of Minnesota
2020-2025

Allen Institute for Brain Science
2021-2025

University of Minnesota System
2023-2024

University of Minnesota Medical Center
2020-2024

Child Mind Institute
2023-2024

Minnesota Department of Education
2020-2023

Oregon Health & Science University
2016-2023

McLean Hospital
2023

Midwest Orthopaedic Research Foundation
2020-2021

Advanced Imaging Research (United States)
2017-2020

Group functional connectivity magnetic resonance imaging (fcMRI) studies have documented reliable changes in human brain maturity over development. Here we show that support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals' across The use of only 5 minutes resting-state 238 scans typically developing volunteers (ages 7 30 years) allowed prediction individual as a maturation index. resultant curve...

10.1126/science.1194144 article EN Science 2010-09-09

Abstract Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping abilities to specific structures (for example, lesion studies) and functions 1–3 task functional MRI (fMRI)). Mental health research care have yet realize similar advances from MRI. A primary challenge been replicating associations between inter-individual differences in structure or function complex cognitive mental phenotypes (brain-wide association studies...

10.1038/s41586-022-04492-9 article EN cc-by Nature 2022-03-16
Richard A. I. Bethlehem Jakob Seidlitz Simon R. White Jacob W. Vogel Karen Anderson and 95 more Chris Adamson Sophie Adler George S. Alexopoulos Evdokia Anagnostou Ariosky Areces-González Duncan E. Astle Bonnie Auyeung Muhammad Ayub Ji Hyun Bae Gareth Ball Simon Baron‐Cohen Richard Beare Saashi A. Bedford Vivek Benegal Frauke Beyer John Blangero Manuel Blesa James P. Boardman Matthew Borzage Jorge Bosch‐Bayard Niall Bourke Vince D. Calhoun M. Mallar Chakravarty C. Chen Casey Chertavian Gaël Chételat Yap Seng Chong James H. Cole Aiden Corvin Manuela Costantino Eric Courchesne Fabrice Crivello Vanessa Cropley Jennifer Crosbie Nicolás Crossley Marion Delarue Richard Delorme Sylvane Desrivières Gabriel A. Devenyi Maria A. Di Biase Raymond J. Dolan Kirsten A. Donald Gary Donohoe Katharine Dunlop A. David Edwards Jed T. Elison Cameron T. Ellis Jeremy A. Elman Lisa T. Eyler Damien A. Fair Eric Feczko Paul C. Fletcher Peter Fonagy Carol E. Franz Lídice Galán‐García Ali Gholipour Jay N. Giedd John H. Gilmore David C. Glahn Ian Goodyer P. Ellen Grant Nynke A. Groenewold Faith M. Gunning Ruben C. Gur R. C. Gur Christopher Hammill Oskar Hansson Trey Hedden Andreas Heinz R. N. Henson Katja Heuer Jacqueline Hoare Bharath Holla Avram J. Holmes Rosemary Holt Hao Huang K. Im Jonathan Ipser C. R. Jack Andrea Parolin Jackowski Tianye Jia K. A. Johnson Peter B. Jones D. T. Jones R. S. Kahn Hasse Karlsson Linnéa Karlsson Ryuta Kawashima Elizabeth W. Kelley S.J. Kern Ki Woong Kim Manfred G. Kitzbichler William S. Kremen François Lalonde Brigitte Landeau

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of human brain. However, no reference standards currently exist to quantify individual differences metrics over time, contrast growth charts for anthropometric traits such as height weight

10.1038/s41586-022-04554-y article EN cc-by Nature 2022-04-06

Alzheimer's disease (AD) is associated with neurodegeneration in vulnerable limbic and heteromodal regions of the cerebral cortex, detectable vivo using magnetic resonance imaging. It not clear whether abnormalities cortical anatomy AD can be reliably measured across different subject samples, how closely they track symptoms, are prior to symptoms. An exploratory map thinning mild was used define interest that were applied a hypothesis-driven fashion other samples. Results demonstrate...

10.1093/cercor/bhn113 article EN cc-by-nc Cerebral Cortex 2008-07-16

Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) human brain. Accurate detection artifacts induced by head requires precise estimation movement. However, estimates may be corrupted due to main field fluctuations generated body motion. In current report, we examine multiband resting state functional connectivity MRI (rs-fcMRI) data from Adolescent Brain and Cognitive Development (ABCD) Study comparison 'single-shot' datasets. We show that...

10.1016/j.neuroimage.2019.116400 article EN cc-by-nc-nd NeuroImage 2019-11-25

Abstract Magnetic resonance imaging (MRI) continues to drive many important neuroscientific advances. However, progress in uncovering reproducible associations between individual differences brain structure/function and behavioral phenotypes (e.g., cognition, mental health) may have been undermined by typical neuroimaging sample sizes (median N=25) 1,2 . Leveraging the Adolescent Brain Cognitive Development (ABCD) Study 3 (N=11,878), we estimated effect reproducibility of these brain-wide...

10.1101/2020.08.21.257758 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-08-22

Abstract Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI) results in misestimates of brain structure. Because conventional T1w scans are not collected with direct measures head motion, a practical alternative is needed to identify potential motion‐induced bias anatomy. Head movements during functional MRI (fMRI) scanning 266 healthy adults (20–89 years) were analyzed reveal stable features in‐scanner motion. The magnitude motion increased age and exhibited...

10.1002/hbm.23397 article EN cc-by Human Brain Mapping 2016-09-16

Abstract Although the general location of functional neural networks is similar across individuals, there vast person-to-person topographic variability. To capture this, we implemented precision brain mapping magnetic resonance imaging methods to establish an open-source, method-flexible set network atlases—the Masonic Institute for Developing Brain (MIDB) Precision Atlas. This atlas evolving resource comprising 53,273 individual-specific maps, from more than 9,900 ages and cohorts,...

10.1038/s41593-024-01596-5 article EN cc-by Nature Neuroscience 2024-03-26

Abstract Human cortical maturation has been posited to be organized along the sensorimotor-association axis, a hierarchical axis of brain organization that spans from unimodal sensorimotor cortices transmodal association cortices. Here, we investigate hypothesis development functional connectivity during childhood through adolescence conforms hierarchy defined by axis. We tested this pre-registered in four large-scale, independent datasets (total n = 3355; ages 5–23 years): Philadelphia...

10.1038/s41467-024-47748-w article EN cc-by Nature Communications 2024-04-25

Introversion/extraversion and neuroticism are 2 important frequently studied dimensions of human personality. These describe individual differences in emotional responding across a range situations may contribute to predisposition for psychiatric disorders. Recent neuroimaging research has begun provide evidence that introversion/extraversion have specific functional structural neural correlates. Previous studies healthy adults reported an association between neuroticism,...

10.1093/cercor/bhj118 article EN Cerebral Cortex 2005-12-28

Abstract Initiating joint attention (IJA), the behavioral instigation of coordinated focus 2 people on an object, emerges over first years life and supports social-communicative functioning related to healthy development aspects language, empathy, theory mind. Deficits in IJA provide strong early indicators for autism spectrum disorder, therapies targeting have shown tremendous promise. However, brain systems underlying childhood are poorly understood, due part significant methodological...

10.1093/cercor/bhw403 article EN cc-by-nc Cerebral Cortex 2016-12-20

Recent progress in resting-state neuroimaging demonstrates that the brain exhibits highly individualized patterns of functional connectivity—a “connectotype.” How these may be constrained by environment and genetics is unknown. Here we ask whether connectotype familial heritable. Using a novel approach to estimate familiality via machine-learning framework, analyzed fMRI scans from two well-characterized samples child adult siblings. First show individual connectotypes were reliably...

10.1162/netn_a_00029 article EN cc-by Network Neuroscience 2017-11-02

The 21-site Adolescent Brain Cognitive Development (ABCD) study provides an unparalleled opportunity to characterize functional brain development via resting-state connectivity (RSFC) and quantify relationships between RSFC behavior. This multi-site data set includes potentially confounding sources of variance, such as differences collection sites and/or scanner manufacturers, in addition those inherent (e.g., head motion). ABCD project a framework for characterizing reproducing...

10.1016/j.dcn.2019.100706 article EN cc-by Developmental Cognitive Neuroscience 2019-09-19

Abstract The Adolescent Brain Cognitive Development Study (ABCD), a 10 year longitudinal neuroimaging study of the largest population based and demographically distributed cohort 9-10 olds (N=11,877), was designed to overcome reproducibility limitations prior child mental health studies. Besides fantastic wealth research opportunities, extremely large size ABCD data set also creates enormous storage, processing, analysis challenges for researchers. To ensure privacy safety, researchers are...

10.1101/2021.07.09.451638 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2021-07-11

Working memory function changes across development and varies individuals. The patterns of behavior brain that track individual differences in working during human development, however, are not well understood. Here, we establish associations between memory, other cognitive abilities, functional MRI (fMRI) activation data from over 11,500 9- to 10-year-old children (both sexes) enrolled the Adolescent Brain Cognitive Development (ABCD) Study, an ongoing longitudinal study United States....

10.1523/jneurosci.2841-19.2020 article EN Journal of Neuroscience 2020-05-25
Bader Chaarani Sage Hahn Nicholas Allgaier Shana Adise Max M. Owens and 95 more Anthony Juliano Dekang Yuan Hannah Loso Alexandra Ivanciu Matthew D. Albaugh Julie A. Dumas Scott Mackey Jennifer Laurent Masha Y. Ivanova Donald J. Hagler M. Daniela Cornejo Sean N. Hatton Arpana Agrawal Laika D. Aguinaldo Lia Ahonen Will M. Aklin Andrey P. Anokhin Judith A. Arroyo Shelli Avenevoli Debra Babcock Kara Bagot Fiona C. Baker Marie T. Banich Deanna M. Barch Hauke Bartsch Arielle Baskin–Sommers James M. Bjork D. Blachman-Demner Michele Bloch Ryan Bogdan Susan Y. Bookheimer Florence J. Breslin Sandra A. Brown Finnegan J. Calabro Vince D. Calhoun B.J. Casey L. Chang Duncan B. Clark Christine Cloak R. Todd Constable K. Constable Robin P. Corley Linda B. Cottler Stefany Coxe Richard Dagher Anders M. Dale Mirella Dapretto Rebecca DelCarmen‐Wiggins Anthony Steven Dick E. K. Nico U.F. Dosenbach Gayathri J. Dowling Sarah Edwards Thomas Ernst Damien A. Fair Chun Chieh Fan Eric Feczko Sarah W. Feldstein-Ewing Paul Florsheim John J. Foxe Edward G. Freedman Naomi P. Friedman Stacia R. Friedman‐Hill Bernard F. Fuemmeler Adriana Gálvan Dylan G. Gee Jay N. Giedd Meyer D. Glantz Paul E.A. Glaser Job Godino Marybel R. Gonzalez Raúl González Steven Grant Kevin M. Gray Frank Haist Michael P. Harms Samuel W. Hawes Andrew C. Heath Steven G. Heeringa Mary M. Heitzeg Robert Hermosillo Megan M. Herting John M. Hettema John K. Hewitt Charles J. Heyser Elizabeth A. Hoffman Katia Delrahim Howlett Rebekah S. Huber Marilyn A. Huestis Luke W. Hyde William G. Iacono M. Alejandra Infante Okan Irfanoglu Amal Isaiah Satish Iyengar

10.1038/s41593-021-00867-9 article EN Nature Neuroscience 2021-06-07

The Adolescent Brain Cognitive Development (ABCD) Study of 11,880 youth incorporates a comprehensive range measures assessing predictors and outcomes related to mental health across childhood adolescence in participating youth, as well information about family history. We have previously described the logic content assessment battery at Baseline 1-year follow-up. Here, we describe changes that issues clarifications emerged, additions 2-, 3-, 4-, 5-year follow-ups. capitalize on recent...

10.1016/j.dcn.2021.101031 article EN cc-by-nc-nd Developmental Cognitive Neuroscience 2021-10-29
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