A5046846201- Functional Brain Connectivity Studies
- Attention Deficit Hyperactivity Disorder
- Genetics and Neurodevelopmental Disorders
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Blind Source Separation Techniques
- Congenital heart defects research
- Autism Spectrum Disorder Research
- Advanced Neuroimaging Techniques and Applications
- Fractal and DNA sequence analysis
- Spectroscopy and Chemometric Analyses
- Neural and Behavioral Psychology Studies
- Genetic Associations and Epidemiology
- Cardiac Arrest and Resuscitation
- Sparse and Compressive Sensing Techniques
- Fetal and Pediatric Neurological Disorders
- Gene expression and cancer classification
- Advanced MRI Techniques and Applications
- Radical Photochemical Reactions
- Cryptography and Residue Arithmetic
- Traumatic Brain Injury Research
- Genomic variations and chromosomal abnormalities
- Bioinformatics and Genomic Networks
- Neonatal and fetal brain pathology
- Machine Learning in Healthcare
Center for Autism and Related Disorders
2022-2024
University of California, San Diego
2022-2024
Emory University
2020-2024
Georgia Institute of Technology
2019-2024
Center for Translational Research in Neuroimaging and Data Science
2020-2024
Georgia State University
2020-2024
Children's Healthcare of Atlanta
2024
University of New Mexico
2018-2019
Xi'an University of Technology
2014-2016
Nanyang Technological University
2004
COVID-19, the infectious disease caused by most recently discovered severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has become a global pandemic. It dramatically affects people's health and daily life. Neurological complications are increasingly documented for patients with COVID-19. However, effect of COVID-19 on brain is less studied, existing quantitative neuroimaging analyses were mainly based univariate voxel-based morphometry analysis (VBM) that requires corrections large...
Abstract Background Social affective and communication symptoms are central to autism spectrum disorder (ASD), yet their severity differs across toddlers: Some toddlers with ASD display improving abilities early ages develop good social language skills, while others “profound” have persistently low social, cognitive skills require lifelong care. The biological origins of these opposite subtypes developmental trajectories not known. Methods Because involves brain overgrowth excess neurons, we...
A double-image encryption is proposed based on the discrete fractional random transform and logistic maps. First, an enlarged image composited from two original images scrambled in confusion process which consists of a number rounds. In each round, pixel positions are relocated by using cat maps generated Then decomposed into components. Second, one components directly separated phase masks other component used to derive ciphertext with stationary white noise distribution cascaded transforms...
Language and social symptoms improve with age in some autistic toddlers, but not others, such outcome differences are clearly predictable from clinical scores alone. Here we aim to identify early-age brain alterations autism that prognostic of future language ability. Leveraging 372 longitudinal structural MRI scans 166 toddlers 109 typical controlling for size, find that, compared show differentially larger or thicker temporal fusiform regions; smaller thinner inferior frontal lobe midline...
While gray matter (GM) anomalies have been reported for attention-deficit/hyperactivity disorder (ADHD), investigating their associations with cognitive deficits and individual symptom domains can help pinpoint the neural underpinnings critical pathology of ADHD, particularly persist form ADHD. In this work, we performed both independent component analysis voxel-based morphometry on whole brain GM 486 adults including 214 patients, 96 unaffected siblings, 176 healthy controls, in relation to...
Dearomatization has emerged as a powerful manifold for rapid construction of 3D molecular architectures from simple, abundant, and planar (hetero)arenes. The field evolved beyond the simple dearomatization driven by new synthetic technology development. With renaissance photocatalysis expanding activation mode, last few years have witnessed impressive developments on innovative photochemical methodologies, enabling skeletal modifications dearomatic structures. They offer truly efficient...
Abstract Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neuropsychiatric and may persist into adulthood. Working memory attention deficits have been reported to from childhood How neuronal underpinnings of differ across adolescence adulthood not clear. In this study, we investigated gray matter two cohorts, 486 adults 508 adolescents, each including participants ADHD healthy controls families. Two cohorts both presented significant working in individuals with ADHD....
Abstract High-impact genetic variants associated with neurodevelopmental disorders provide biologically-defined entry points for mechanistic investigation. The 3q29 deletion (3q29Del) is one such variant, conferring a 40-100-fold increased risk schizophrenia, as well high autism and intellectual disability. However, the mechanisms leading to disability remain largely unknown. Here, we report first in vivo quantitative neuroimaging study individuals 3q29Del ( N = 24) neurotypical controls...
Alzheimer's disease (AD) is a neurodegenerative process characterized by the accumulation of amyloid-beta plaques and neurofibrillary tangles most common cause dementia. Studies have been striving to analyze using available physiological behavioral data. Functional/structural neuroimaging genomics are complementary modalities for exploring mechanisms subserving development AD. In this paper, we present deep multimodal generative data fusion framework integrating these sources in...
Tremendous work has demonstrated the critical roles of genetics, epigenetics as well their interplay in brain transcriptional regulations pathology schizophrenia (SZ). There is great success currently dissection genetic components underlying risk-conferring transcriptomic networks. However, study regulating effect etiopathogenesis SZ still faces many challenges. In this work, we investigated DNA methylation and gene expression from dorsolateral prefrontal cortex (DLPFC) region patients...
Dearomatization has emerged as a powerful strategy for rapid construction of 3D molecular architectures from simple, abundant, and planar (hetero)arenes. With the renaissance skeletal editing photocatalysis, photochemical dearomative modifications heteroarenes, enabling facile access to pharmaceutically related saturated/semi-saturated heterocycles, finds its increasing applications in synthesis nature products drug-like molecules. Recently, plenty novel mechanisms or strategies were...
Abstract Background 3q29 deletion syndrome (3q29del) is a rare (~1:30 000) genomic disorder associated with wide array of neurodevelopmental and psychiatric phenotypes. Prior work by our team identified clinically significant executive function (EF) deficits in 47% individuals 3q29del; however, the nuances EF this population have not been described. Methods We used Behavior Rating Inventory Executive Function (BRIEF) to perform first in-depth assessment real-world cohort 32 3q29del (62.5%...
Gray matter disruptions have been found consistently in Attention-deficit/Hyperactivity Disorder (ADHD). The organization of these alterations into brain structural networks remains largely unexplored. We investigated 508 participants (281 males) with ADHD (N = 210), their unaffected siblings 108), individuals subthreshold 49), and unrelated healthy controls 141) an age range from 7 to 18 years old 336 families the Dutch NeuroIMAGE project. Source based morphometry was used examine network...
Multimodal data fusion is a topic of great interest. Several methods have been proposed to investigate coherent patterns and corresponding linkages across modalities, such as joint independent component analysis (jICA), multiset canonical correlation (mCCA), mCCA+jICA, disjoint subspace using ICA (DS-ICA) parallel ICA. JICA exploits source independence but assumes shared loading parameters. MCCA maximizes linkage modalities directly limited orthogonal features. While there no theoretical...
Brain age, an estimated biological age from anatomical and/or functional brain imaging data, and its deviation the chronological (brain gap) have shown potential to serve as biomarkers for characterizing typical development, abnormal aging process, early indicators of clinical neuropsychiatric problems. In this study, we leverage multimodal data prediction. We studied compared performance individual modalities (gray matter density in components regions interest, cortical subcortical...
Abstract Background Major depression has been recognized as the most commonly diagnosed psychiatric complication of mild traumatic brain injury (mTBI). Moreover, major is associated with poor outcomes following mTBI; however, underlying biological mechanisms this are largely unknown. Recently, genomic and epigenetic factors have increasingly implicated in recovery TBI. Results This study leveraged DNA methylation within pathway, along demographic behavior measures (features used clinical...
Abstract Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder, with onset in childhood and considerable likelihood to persist into adulthood. Our previous work has identified that across adults adolescents ADHD, gray matter volume (GMV) alteration the frontal cortex was consistently associated working memory underperformance, GMV cerebellum inattention. Recent knowledge regarding ADHD genetic risk loci makes it feasible investigate genomic factors...
In biomedical imaging, we often encounter tasks requiring machine learning models to analyze large amounts of variables. However, in practice, limited and imbalanced samples hinder the prediction power methods, particularly for data-hungry techniques like Neural Networks (NN). This study proposes a strategy training NN with samples. When data condition result model suboptimal solutions even under shallow network configuration best practices, propose simple yet efficient reusing refining...
Registering longitudinal infant brain images is challenging, as the undergoes rapid changes in size, shape and tissue contrast first months years of life. Diffusion tensor (DTI) have relatively consistent properties over course infancy compared to commonly used T1 or T2-weighted images, presenting great potential for registration. Moreover, groupwise registration has been widely neuroimaging studies reduce bias introduced by predefined atlases that may not be well representative samples...
Abstract Some toddlers with autism spectrum disorder (ASD) have mild social symptoms and developmental improvement in skills, but for others, abilities are moderately or even severely affected. Those profound the most severe social, language, cognitive at greatest risk of having a poor outcome. The little that is known about underlying biology this important subtype, points clearly to embryonic dysregulation proliferation, differentiation neurogenesis. Because it essential gain foundational...