A5080485825- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Traumatic Brain Injury Research
- Advanced MIMO Systems Optimization
- EEG and Brain-Computer Interfaces
- Heart Rate Variability and Autonomic Control
- Blind Source Separation Techniques
- Wireless Communication Networks Research
- Complex Network Analysis Techniques
- Advanced Wireless Communication Techniques
- Neural Networks and Applications
- Simulation-Based Education in Healthcare
- Neonatal and fetal brain pathology
- Prenatal Substance Exposure Effects
- Genetic Associations and Epidemiology
- Neural and Behavioral Psychology Studies
- Fuzzy Logic and Control Systems
- Schizophrenia research and treatment
- Neuroscience of respiration and sleep
- Genomics and Rare Diseases
- Innovations in Medical Education
- Distributed Sensor Networks and Detection Algorithms
Center for Translational Research in Neuroimaging and Data Science
2019-2025
Georgia Institute of Technology
2019-2025
Georgia State University
2019-2025
Emory University
2019-2025
Kirtland Air Force Base
2023
Mind Research Network
2014-2021
Center for Excellence in Brain Science and Intelligence Technology
2019
Institute of Automation
2019
Chinese Academy of Sciences
2019
University of New Mexico
2005-2018
Traumatic brain injury (TBI) may adversely affect a person's thinking, memory, personality, and behavior. While mild TBI (mTBI) diagnosis is challenging, there risk for long-term psychiatric, neurologic, psychosocial problems in some patients that motivates the search new better biomarkers. Recently, diffusion magnetic resonance imaging (dMRI) has shown promise detecting mTBI, but its validity still being investigated. Resting state functional network connectivity (rsFNC) another approach...
Abstract Acute ischaemic stroke disturbs healthy brain organization, prompting subsequent plasticity and reorganization to compensate for the loss of specialized neural tissue function. Static resting state functional MRI studies have already furthered our understanding cerebral by estimating stroke-induced changes in network connectivity aggregated over duration several minutes. In this study, we used dynamic analyses increase temporal resolution seconds explore transient configurations...
Mild traumatic brain injury (mTBI) can result in symptoms that affect a person's cognitive and social abilities. Improvements diagnostic methodologies are necessary given current clinical techniques have limited accuracy solely based on self-reports. Recently, resting state functional network connectivity (FNC) has shown potential as an important imaging modality for the development of mTBI biomarkers. The present work explores use dynamic (dFNC) detection. Forty eight patients (24 males)...
Abstract Psychopathy is a personality disorder characterized by antisocial behavior, lack of remorse and empathy, impaired decision making. The disproportionate amount crime committed psychopaths has severe emotional economic impacts on society. Here we examine the neural correlates associated with psychopathy to improve early assessment perhaps inform treatments for this condition. Previous resting‐state functional magnetic resonance imaging (fMRI) studies in have primarily focused regions...
Abstract Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated relationship between age and imaging, results heterogeneous due to small sample sizes relatively narrow ranges. Here, based on year‐wise estimation of 5,967 subjects from 13 72 years old, we aimed provide a more precise description adult variation trajectories gray matter volume (GMV), structural network correlation (SNC), functional...
Abstract Dynamic functional network connectivity (dFNC) is an expansion of traditional, static FNC that measures variation among brain networks throughout scan duration. We used a large resting‐state fMRI (rs‐fMRI) sample from the PREDICT‐HD study ( N = 183 Huntington disease gene mutation carriers [HDgmc] and 78 healthy control [HC] participants) to examine whole‐brain dFNC its associations with CAG repeat length as well product scaled age, variable representing burden. also tested for...
Abstract Sliding window correlation (SWC) is utilized in many studies to analyze the temporal characteristics of brain connectivity. However, spurious artifacts have been reported simulated data using this technique. Several suggestions made through development SWC Recently, it has proposed utilize a length 100 s given that lowest nominal fMRI frequency 0.01 Hz. The main pitfall loss resolution due large length. In work, we propose an average sliding (ASWC) approach presents several...
Studies have used resting-state functional magnetic resonance imaging (rs-fMRI) to examine associations between psychopathy and brain connectivity in selected regions of interest as well networks covering the whole-brain. One limitations these approaches is that modeled a constant state through scan duration. To address this limitation, we apply group independent component analysis (GICA) dynamic network (dFNC) uncover whole-brain, time-varying (FNC) states large forensic sample. We then...
Huntington's disease (HD) is an inherited brain disorder characterized by progressive motor, cognitive, and behavioral dysfunctions. It caused abnormally large trinucleotide cytosine-adenine-guanine (CAG) repeat expansions on exon 1 of the Huntingtin gene. CAG length (CAG-RL) inversely correlates with earlier age onset. Region-based studies have shown that HD gene mutation carrier (HDgmc) individuals (CAG-RL ≥36) present functional connectivity alterations in subcortical (SC) default mode...
The current study set out to investigate the dynamic functional connectome in relation long-term recovery after mild moderate traumatic brain injury (TBI). Longitudinal resting-state MRI data were collected (at 1 and 3 months postinjury) from a prospectively enrolled cohort consisting of 68 patients with TBI (92% TBI) 20 healthy subjects. Patients underwent neuropsychological assessment at postinjury. Outcome was measured using Glasgow Scale Extended (GOS-E) 6 57 who completed GOS-E...
BackgroundIn the past decades, substantial effort has been made to explore genetic influence on brain structural/functional abnormalities in schizophrenia, as well cognitive impairments. In this work, we aimed extend previous studies internal mediation pathway among factor, features and scores a large Chinese dataset.MethodsGray matter (GM) volume, fractional amplitude of low-frequency fluctuations (fALFF), 4522 schizophrenia-susceptible single nucleotide polymorphisms (SNP) from 905...
Abstract Thorough assessment of cerebral dysfunction after acute lesions is paramount to optimize predicting clinical outcomes. We here built random forest classifier-based prediction models motor impairment and recovery post-stroke. Predictions relied on structural resting-state fMRI data from 54 stroke patients scanned within the first days symptom onset. Functional connectivity was estimated via static dynamic approaches. Motor performance phenotyped in phase 6 months later. A model based...
Abstract Introduction Dynamic functional network connectivity ( dFNC ), derived from magnetic resonance imaging fMRI is an important technique in the search for biomarkers of brain diseases such as mild traumatic injury mTBI ). At individual level, can affect cognitive functions and change personality traits. Previous research aimed at detecting significant changes subjects. However, one main concerns analysis appropriateness methods used to correct subject movement. In this work, we focus...
Abstract One of the most complex forms creativity is musical improvisation where new music produced in real time. Brain behavior during production has several dimensions depending on conditions performance. The expression suspected to be different whether novel ideas must externalized using a instrument or can imagined internally. This study explores whole brain functional network connectivity from fMRI data jazz compared against baseline prelearned score Given that might affected by...
People affected by psychotic, depressive and developmental disorders are at a higher risk for alcohol tobacco use. However, the further associations between alcohol/tobacco use symptoms/cognition in these remain unexplored. We identified multimodal brain networks involving (n = 707) 281) via supervised fusion evaluated if symptoms cognition people with psychotic (schizophrenia/schizoaffective disorder/bipolar, n 178/134/143), (major disorder, 260) (autism spectrum disorder/attention deficit...
Abstract Schizophrenia (SZ) is frequently concurrent with substance use, depressive symptoms, social communication and attention deficits. However, the relationship between common brain networks (e.g., SZ vs. depression, developmental disorders) on specific symptoms cognition unclear. Symptom scores were used as a reference to guide fMRI-sMRI fusion for ( n = 94), use drinking 313), smoking 104), major disorder (MDD, 260), disorders autism spectrum (ASD, 421) attention-deficit/hyperactivity...