Avram J. Holmes
A5106525988- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Genetic Associations and Epidemiology
- Health, Environment, Cognitive Aging
- Neural and Behavioral Psychology Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Schizophrenia research and treatment
- Stress Responses and Cortisol
- Genomic variations and chromosomal abnormalities
- Birth, Development, and Health
- Tryptophan and brain disorders
- Genetics and Neurodevelopmental Disorders
- Epigenetics and DNA Methylation
- Congenital heart defects research
- Neurotransmitter Receptor Influence on Behavior
- Cognitive Abilities and Testing
- Bioinformatics and Genomic Networks
- Child and Adolescent Psychosocial and Emotional Development
- EEG and Brain-Computer Interfaces
- Treatment of Major Depression
- Memory and Neural Mechanisms
- Attention Deficit Hyperactivity Disorder
Rutgers, The State University of New Jersey
2023-2025
Rutgers Sexual and Reproductive Health and Rights
2023-2025
Allen Institute for Brain Science
2024-2025
Yale University
2015-2024
Kennesaw State University
2023
Harvard University
2012-2022
Massachusetts General Hospital
2013-2022
Brigham and Women's Hospital
2016-2022
Diakonhjemmet Hospital
2021
Athinoula A. Martinos Center for Biomedical Imaging
2012-2019
A central goal in systems neuroscience is the parcellation of cerebral cortex into discrete neurobiological "atoms". Resting-state functional magnetic resonance imaging (rs-fMRI) offers possibility vivo human cortical parcellation. Almost all previous parcellations relied on 1 2 approaches. The local gradient approach detects abrupt transitions connectivity patterns. These potentially reflect areal boundaries defined by histology or visuotopic fMRI. By contrast, global similarity clusters...
Objective: Major depressive disorder is characterized by impaired reward processing, possibly due to dysfunction in the basal ganglia. However, few neuroimaging studies of depression have distinguished between anticipatory and consummatory phases processing. Using functional MRI (fMRI) a task that dissociates authors tested hypothesis individuals with major would show reduced reward-related responses ganglia structures. Method: A monetary incentive delay was presented 30 unmedicated 31...
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
Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to delineate individual-specific brain networks. A major question is whether network topography (i.e., location and spatial arrangement) behaviorally relevant. Here, we propose a multi-session hierarchical Bayesian model (MS-HBM) for estimating cortical networks investigate can predict human behavior. The multiple layers of MS-HBM explicitly differentiate intra-subject (within-subject) from inter-subject...
Abstract Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures reported have moderate high test-retest reliability, variability data acquisition, experimental designs, and analytic methods precludes generalize results. The Consortium for Reliability Reproducibility (CoRR) is working address this challenge establish...
Psychotic disorders (including schizophrenia, schizoaffective disorder, and psychotic bipolar disorder) are devastating illnesses characterized by breakdown in the integration of information processing. Recent advances neuroimaging allow for estimation brain networks on basis intrinsic functional connectivity, but specific network abnormalities poorly understood.To compare connectivity across cerebral cortex patients with schizophrenia spectrum or disorder healthy controls.We studied 100...
The goal of the Brain Genomics Superstruct Project (GSP) is to enable large-scale exploration links between brain function, behavior, and ultimately genetic variation. To provide broader scientific community data probe these associations, a repository structural functional magnetic resonance imaging (MRI) scans linked information was constructed from sample healthy individuals. initial release, detailed in present manuscript, encompasses quality screened cross-sectional 1,570 participants...
Individual differences in affective and social processes may arise from variability amygdala-medial prefrontal (mPFC) circuitry related genetic heterogeneity. To explore this possibility humans, we examined the structural correlates of trait negative affect a sample 1050 healthy young adults with no history psychiatric illness. Analyses revealed that heightened was associated increased amygdala volume reduced thickness left mPFC region encompassing subgenual rostral anterior cingulate...
There is significant interest in the development and application of deep neural networks (DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their classical counterparts a variety applications, yet there are few direct comparisons relative utility. Here, we compared performance three DNN architectures machine learning algorithm (kernel regression) predicting individual phenotypes from whole-brain resting-state functional connectivity (RSFC) patterns. One was...
BackgroundThere is considerable interest in a dimensional transdiagnostic approach to psychiatry. Most studies have derived factors based only on clinical symptoms, which might miss possible links between psychopathology, cognitive processes, and personality traits. Furthermore, many psychiatric focus higher-order association brain networks, thereby neglecting the potential influence of huge swaths brain.MethodsA multivariate data-driven (partial least squares) was used identify latent...
Delineating the association of age and cortical thickness in healthy individuals is critical given with cognition behavior. Previous research has shown that robust estimates between brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 aged 3-90 years Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes thickness. We fractional polynomial (FP) regression quantify thickness, computed normalized...
Abstract Humans survive and thrive through social exchange. Yet, dependency also comes at a cost. Perceived isolation, or loneliness, affects physical mental health, cognitive performance, overall life expectancy, increases vulnerability to Alzheimer’s disease-related dementias. Despite severe consequences on behavior the neural basis of loneliness remains elusive. Using UK Biobank population imaging-genetics cohort ( n = ~40,000, aged 40–69 years when recruited, mean age 54.9), we test for...
Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of individual-specific cortical parcellations. We have previously developed a multi-session hierarchical Bayesian model (MS-HBM) for estimating high-quality network-level Here, we extend the to estimate areal-level While parcellations comprise spatially distributed networks spanning cortex, consensus is that parcels should be localized, is, not span multiple lobes. There disagreement about whether strictly...
Abstract How individual differences in brain network organization track behavioral variability is a fundamental question systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the level. However, most studies focus on single traits, thus not capturing broader relationships across behaviors. In large sample of 1858 typically developing children from Adolescent Brain Cognitive Development (ABCD) study, we show...
Significance Historically, most research on the biological origins of psychiatric illness has focused individual diagnostic categories, studied in isolation. Mounting evidence indicates that nominally distinct diagnoses are not separated by clear neurobiological boundaries. Here, we derive functional connectomic signatures over 1,000 individuals, including patients presenting with different categories impairment (psychosis), clinical diagnoses, and severity as reflected treatment seeking....