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Chris Abbott

University of Colorado Denver · US
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Area of research
Psychiatry and Mental health · Pharmacology
Research interest
Research focused on Electroconvulsive therapy and Neuroscience, with related work in Hippocampus, Resting state fMRI, Neuroimaging. Notable publications include 'Volume of the Human Hippocampus and Clinical Response Following Electroconvulsive Therapy', 'Phase 1 clinical trial of CRISPR-engineered CAR19 universal T cells for treatment of children with refractory B cell leukemia', and 'Brain Changes Induced by Electroconvulsive Therapy Are Broadly Distributed'.
h-index
citations
1,266
works
23
NIH funding
primary concept
email

Recent publications

Electroconvulsive therapy generates a postictal wave of spreading depolarization in mice and humans
Nature Communications 2025cited by 11position: middledoi
Umbrella Review: Atlas of the Meta-Analytical Evidence of Early-Onset Psychosis
Journal of the American Academy of Child & Adolescent Psychiatry 2024cited by 24position: middledoi
Electroconvulsive therapy and cognitive performance from the Global ECT MRI Research Collaboration
Journal of Psychiatric Research 2024cited by 3position: lastdoi
Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ <scp>resting‐state fMRI</scp> datasets
Human Brain Mapping 2023cited by 69position: middledoi
Negative symptoms in children and adolescents with early-onset psychosis and at clinical high-risk for psychosis: systematic review and meta-analysis
The British Journal of Psychiatry 2023cited by 38position: middledoi
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
Research Square 2023cited by 2position: middledoi
Phase 1 clinical trial of CRISPR-engineered CAR19 universal T cells for treatment of children with refractory B cell leukemia
Science Translational Medicine 2022cited by 179position: middledoi
The Neurobiological Effects of Electroconvulsive Therapy Studied Through Magnetic Resonance: What Have We Learned, and Where Do We Go?
Biological Psychiatry 2021cited by 99position: middledoi
Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder
Frontiers in Human Neuroscience 2021cited by 34position: middledoi
Whole-Brain Functional Connectivity Dynamics Associated With Electroconvulsive Therapy Treatment Response
Biological Psychiatry Cognitive Neuroscience and Neuroimaging 2021cited by 23position: middledoi
Elevated body weight modulates subcortical volume change and associated clinical response following electroconvulsive therapy
Journal of Psychiatry and Neuroscience 2021cited by 9position: middledoi
Development and validation of a multimodal neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis
medRxiv 2021cited by 3position: middledoi
Structural changes induced by electroconvulsive therapy are associated with clinical outcome
Brain stimulation 2020cited by 45position: middledoi
Electroconvulsive therapy treatment responsive multimodal brain networks
Human Brain Mapping 2020cited by 32position: middledoi
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder
2020cited by 32position: middledoi
Brain Changes Induced by Electroconvulsive Therapy Are Broadly Distributed
Biological Psychiatry 2019cited by 110position: middledoi
Electric field causes volumetric changes in the human brain
eLife 2019cited by 87position: lastdoi
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data
NeuroImage Clinical 2019cited by 40position: middledoi
Volume of the Human Hippocampus and Clinical Response Following Electroconvulsive Therapy
Biological Psychiatry 2018cited by 186position: middledoi
The Global ECT-MRI Research Collaboration (GEMRIC): Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy
NeuroImage Clinical 2017cited by 90position: middledoi
SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets
Neuropsychopharmacology 2017cited by 67position: middledoi
Thought Chart: Tracking Dynamic EEG Brain Connectivity with Unsupervised Manifold Learning
Lecture notes in computer science 2016cited by 12position: middledoi
Reliability of the amplitude of low-frequency fluctuations in resting state fMRI in chronic schizophrenia
Psychiatry Research Neuroimaging 2012cited by 71position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Randall Espinoza · Neurobehavioral Systems6 papers (2017–2021)Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you · Beijing Normal University6 papers (2017–2021)Katherine L. Narr · University of California, Los Angeles6 papers (2017–2021)Shile Qi · Nanjing University of Aeronautics and Astronautics4 papers (2019–2021)Rongtao Jiang · Sinopec (China)3 papers (2017–2020)Zening Fu · Georgia Institute of Technology3 papers (2020–2021)Benjamin Wade · Massachusetts General Hospital3 papers (2017–2021)Mohammad S.E. Sendi · Broad Institute3 papers (2020–2021)Dongmei Zhi · Harvard University2 papers (2020–2020)Celso Arango · King's College London2 papers (2023–2024)Jessica A. Turner · Durham University2 papers (2012–2020)Tom Jones · University of New Mexico2 papers (2019–2020)Hai‐Lun Sun · Indiana University School of Medicine2 papers (2019–2020)Joel Upston · University of New Mexico2 papers (2019–2020)Miklós Árgyelán · Northwell Health2 papers (2017–2021)Gonzalo Salazar de Pablo · Universidad Complutense de Madrid2 papers (2023–2024)Leif Oltedal · Haukeland University Hospital2 papers (2021–2021)Christoph U. Correll · Champlain Regional College2 papers (2023–2024)Paolo Fusar‐Poli · King's College London2 papers (2023–2024)Ana Catalán · Instituto de Salud Carlos III2 papers (2023–2024)
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