Richard C. Reynolds

ORCID: 0000-0002-7267-5563
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Bipolar Disorder and Treatment
  • Meta-analysis and systematic reviews
  • Innovations in Medical Education
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Child and Adolescent Psychosocial and Emotional Development
  • Neural and Behavioral Psychology Studies
  • Mental Health Research Topics
  • Blood transfusion and management
  • Health, Environment, Cognitive Aging
  • Acute Ischemic Stroke Management
  • Stuttering Research and Treatment
  • Face Recognition and Perception
  • Global Health Workforce Issues
  • Neurobiology of Language and Bilingualism
  • Attention Deficit Hyperactivity Disorder
  • Schizophrenia research and treatment
  • Trauma, Hemostasis, Coagulopathy, Resuscitation
  • Visual perception and processing mechanisms
  • MRI in cancer diagnosis
  • Public Health Policies and Education
  • Child Nutrition and Feeding Issues

National Institute of Mental Health
2015-2024

National Institutes of Health
2014-2023

NTL Institute for Applied Behavioral Science
2023

Government of the United States of America
2022

Statistical Research (United States)
2022

Virginia Commonwealth University
2018

Stanford University
2018

Wellesley College
2018

Devon County Council
2018

San Diego State University
2016

ENVIRONMENTAL and occupational diseases encompass a wide range of human illness are important causes disability death in modern American society.1 , 2 They include lung cancer mesothelioma persons exposed to asbestos, leukemia benzene, asthma chronic bronchitis organic dusts, radon, disorders the nervous system workers solvents, kidney failure hypertension chronically lead, heart disease carbon disulfide, impairment reproductive function certain solvents pesticides, . . .

10.1056/nejm199109263251305 article EN New England Journal of Medicine 1991-09-26

Recent reports of inflated false-positive rates (FPRs) in FMRI group analysis tools by Eklund and associates 2016 have become a large topic within (and outside) neuroimaging. They concluded that existing parametric methods for determining statistically significant clusters had greatly FPRs (“up to 70%,” mainly due the faulty assumption noise spatial autocorrelation function is Gaussian shaped stationary), calling into question potentially “countless” previous results; contrast, nonparametric...

10.1089/brain.2016.0475 article EN Brain Connectivity 2017-02-15

<h3>Context</h3> Amygdala and ventrolateral prefrontal cortex (vlPFC) dysfunction manifests in adolescents with anxiety disorders when they view negatively valenced stimuli threatening contexts. Such fear-circuitry may also manifest anticipated social evaluation leads socially anxious to misperceive peers as threatening. <h3>Objective</h3> To determine whether photographs of evaluated smiling viewed during engage the amygdala vlPFC differentially without anxiety. <h3>Design</h3> Case-control...

10.1001/archpsyc.65.11.1303 article EN Archives of General Psychiatry 2008-11-03

Artifactual sources of resting-state (RS) FMRI can originate from head motion, physiology, and hardware. Of these sources, motion has received considerable attention was found to induce corrupting effects by differentially biasing correlations between regions depending on their distance. Numerous corrective approaches have relied the identification censoring high-motion time points use brain-wide average series as a nuisance regressor which data are orthogonalized (Global Signal Regression,...

10.1155/2013/935154 article EN cc-by Journal of Applied Mathematics 2013-01-01

Recent research on classical fear-conditioning in the anxiety disorders has identified overgeneralization of conditioned fear as an important conditioning correlate pathology. Unfortunately, only one human neuroimaging study classically generalization been conducted, and neural substrates this clinically germane process remain largely unknown. The current employs a validated gradient paradigm, modified for fMRI environment, to identify that may function aberrantly clinical anxiety. Stimuli...

10.1093/scan/nst096 article EN cc-by-nc Social Cognitive and Affective Neuroscience 2013-06-08

Brain function in "resting" state has been extensively studied with functional magnetic resonance imaging (FMRI). However, drawing valid inferences, particularly for group comparisons, is fraught pitfalls. Differing levels of brain-wide correlations can confound comparisons. Global signal regression (GSReg) attempts to reduce this and commonly used, even though it differentially biases over brain regions, potentially leading false differences. We propose use average as a measure global...

10.1089/brain.2013.0156 article EN Brain Connectivity 2013-05-25

High-resolution fMRI in the sub-millimeter regime allows researchers to resolve brain activity across cortical layers and columns non-invasively. While these high-resolution data make it possible address novel questions of directional information flow within circuits, corresponding analyses are challenged by MRI artifacts, including image blurring, distortions, low SNR, restricted coverage. These challenges often result insufficient spatial accuracy conventional analysis pipelines. Here we...

10.1016/j.neuroimage.2021.118091 article EN cc-by NeuroImage 2021-05-12

Surface-based brain imaging analysis is increasingly being used for detailed of the topology activation patterns and changes in cerebral gray matter. Here we present SUMA, a new interface visualizing performing surface-based that tightly coupled to AFNI - volume-based suite. The interactive part SUMA rapid surface data visualization, access manipulations with direct link volumetric rendered AFNI. batch-mode allows based operations such as geometry smoothing, volume domain mapping both...

10.1109/isbi.2004.1398837 article EN 2005-04-12

Irritability is common in children and adolescents the cardinal symptom of disruptive mood dysregulation disorder, a new DSM-5 yet its neural correlates remain largely unexplored. The authors conducted functional MRI study to examine responses frustration with severe dysregulation.The compared emotional responses, behavior, activity between 19 severely irritable (operationalized using criteria for dysregulation) 23 healthy comparison during cued-attention task completed under nonfrustrating...

10.1176/appi.ajp.2013.12070917 article EN American Journal of Psychiatry 2013-06-04

The neurophysiological basis for stuttering may involve deficits that affect dynamic interactions among neural structures supporting fluid speech processing. Here, we examined functional and structural connectivity within corticocortical thalamocortical loops in adults who stutter. For connectivity, placed seeds the left right inferior frontal Brodmann area 44 (BA44) ventral lateral nucleus (VLN) of thalamus. Subject-specific were based on peak activation voxels captured during nonspeech...

10.1093/cercor/bhr028 article EN Cerebral Cortex 2011-04-06

In humans, there is a repeated category-selective organization across the lateral and ventral surfaces of occipitotemporal cortex. This apparent redundancy often explained as feedforward hierarchy, with processing within areas preceding areas. Here, we tested alternative hypothesis that this structure better reflects distinct high-level representations upper (ventral surface) lower (lateral contralateral quadrants visual field, consistent anatomical projections from early to these in monkey....

10.1523/jneurosci.0137-15.2015 article EN Journal of Neuroscience 2015-08-26

Objective: Bipolar disorder and disruptive mood dysregulation (DMDD) are clinically pathophysiologically distinct, yet irritability can be a clinical feature of both illnesses. The authors examine whether the neural mechanisms mediating differ between bipolar DMDD, using face emotion labeling paradigm because such is deficient in patient groups. hypothesized that during labeling, would associated with dysfunctional activation amygdala other temporal prefrontal regions disorders, but nature...

10.1176/appi.ajp.2015.15060833 article EN American Journal of Psychiatry 2016-02-19

Objective: Childhood irritability is a common, impairing problem with changing age-related manifestations that predict long-term adverse outcomes. However, more investigation of overall and age-specific neural correlates needed. Because youths exhibit exaggerated responses to frustrating stimuli, the authors used frustration functional MRI (fMRI) paradigm examine associations between activation tested moderating effect age. Method: The studied transdiagnostic sample 195 varying levels...

10.1176/appi.ajp.2018.18040491 article EN American Journal of Psychiatry 2018-10-19

Abstract The bed nucleus of the stria terminalis (BNST), a portion “extended amygdala,” is implicated in pathophysiology anxiety and addiction disorders. Its small size connection to other regions prevents standard imaging techniques from easily capturing it its connectivity with confidence. Seed‐based resting state functional an established method for mapping connections across brain region interest. We, therefore, mapped BNST network high spatial resolution using 7 Tesla fMRI,...

10.1002/hbm.22899 article EN Human Brain Mapping 2015-07-14

10.1023/a:1010917304587 article EN Journal of Psychopathology and Behavioral Assessment 2001-01-01

Abstract In response to reports of inflated false positive rate (FPR) in FMRI group analysis tools, a series replications, investigations, and software modifications were made address this issue. While these investigations continue, significant progress has been adapt AFNI fix such problems. Two separate lines changes have made. First, long-tailed model for the spatial correlation noise characterized by autocorrelation function (ACF) was developed implemented into 3dClustSim tool determining...

10.1101/065862 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2016-07-26

Quality control (QC) is a necessary, but often an under-appreciated, part of FMRI processing. Here we describe procedures for performing QC on acquired or publicly available datasets using the widely used AFNI software package. This work Research Topic, "Demonstrating Control Procedures in fMRI." We sequential, hierarchical approach that contained following major stages: (1) GTKYD (getting to know your data, esp. its basic acquisition properties), (2) APQUANT (examining quantifiable...

10.3389/fnins.2022.1073800 article EN cc-by Frontiers in Neuroscience 2023-01-30
Coming Soon ...