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Julia M Stephen

Biographic Data

ID7053619
NAMEJulia M Stephen
GIVEN NAMESJulia M
FAMILY NAMEStephen
SIGNATURESTEPHEN J M
AFFILIATIONSMind Research Network
ORCID0000-0003-2486-747X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Early Behavioral Markers of Anxiety and Reduced Frontal Brain Alpha May Predict High Risk for Bullying Victimization

    Open Access•Isabel Solis, Loretta A Serna et al.•ARTICLE•Child Psychiatry & Human…•2022

  • Test–Retest Reliability of Magnetoencephalography Resting-State Functional Connectivity in Schizophrenia

    Open Access•Felicha T Candelaria‐Cook, Felicha T Candelaria-Cook et al.•ARTICLE•Frontiers in Psychiatry•2020

    The reliability of magnetoencephalography (MEG) resting-state functional connectivity in schizophrenia (SZ) is unknown as previous research has focused on healthy controls (HC). Here, we examined reliability in 26 participants (13-SZ, 13-HC). Eyes opened and eyes closed resting-state data were collected on 4 separate occasions during 2 visits, 1 week apart. For source modeling, we used minimum norm software to apply dynamic statistical parametric…

  • Traumatic Events Are Associated with Diverse Psychological Symptoms in Typically-Developing Children

    Open Access•Mackenzie S Mills, Christine M Embury et al.•ARTICLE•Journal of Child & Adolescent…•2019

  • Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia

    Open Access•Cota Navin Gupta, Eduardo Castro et al.•ARTICLE•Frontiers in Psychiatry•2017

    Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes from the reliable and stable gray matter concentration (GMC) of patients with Sz. The developed methodology consists of the following steps: source-ba…

  • Functional MRI Evaluation of Multiple Neural Networks Underlying Auditory Verbal Hallucinations in Schizophrenia Spectrum Disorders

    Open Access•Robert J Thoma, Charlotte Chaze et al.•ARTICLE•Frontiers in Psychiatry•2016

    Functional MRI studies have identified a distributed set of brain activations to be associated with auditory verbal hallucinations (AVH). However, very little is known about how activated brain regions may be linked together into AVH-generating networks. Fifteen volunteers with schizophrenia or schizoaffective disorder pressed buttons to indicate onset and offset of AVH during fMRI scanning. When a general linear model was used to compare blood o…

No prominent works on this page.

  • Functional MRI Evaluation of Multiple Neural Networks Underlying Auditory Verbal Hallucinations in Schizophrenia Spectrum Disorders

    Open Access•Robert J Thoma, Charlotte Chaze et al.•ARTICLE•Frontiers in Psychiatry•2016

    Functional MRI studies have identified a distributed set of brain activations to be associated with auditory verbal hallucinations (AVH). However, very little is known about how activated brain regions may be linked together into AVH-generating networks. Fifteen volunteers with schizophrenia or schizoaffective disorder pressed buttons to indicate onset and offset of AVH during fMRI scanning. When a general linear model was used to compare blood o…

  • Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia

    Open Access•Cota Navin Gupta, Eduardo Castro et al.•ARTICLE•Frontiers in Psychiatry•2017

    Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes from the reliable and stable gray matter concentration (GMC) of patients with Sz. The developed methodology consists of the following steps: source-ba…

  • Traumatic Events Are Associated with Diverse Psychological Symptoms in Typically-Developing Children

    Open Access•Mackenzie S Mills, Christine M Embury et al.•ARTICLE•Journal of Child & Adolescent…•2019

  • Test–Retest Reliability of Magnetoencephalography Resting-State Functional Connectivity in Schizophrenia

    Open Access•Felicha T Candelaria‐Cook, Felicha T Candelaria-Cook et al.•ARTICLE•Frontiers in Psychiatry•2020

    The reliability of magnetoencephalography (MEG) resting-state functional connectivity in schizophrenia (SZ) is unknown as previous research has focused on healthy controls (HC). Here, we examined reliability in 26 participants (13-SZ, 13-HC). Eyes opened and eyes closed resting-state data were collected on 4 separate occasions during 2 visits, 1 week apart. For source modeling, we used minimum norm software to apply dynamic statistical parametric…

  • Early Behavioral Markers of Anxiety and Reduced Frontal Brain Alpha May Predict High Risk for Bullying Victimization

    Open Access•Isabel Solis, Loretta A Serna et al.•ARTICLE•Child Psychiatry & Human…•2022

Psychology (5 works) · Medicine (4 works) · Psychiatry (4 works) · Functional Brain Connectivity Studies (3 works) · Functional magnetic resonance imaging (3 works) · Neuroscience (3 works) · Advanced MRI Techniques and Applications (2 works) · Anxiety (2 works) · Audiology (2 works) · Child and Adolescent Psychosocial and Emotional Development (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae