A5057426870- Autism Spectrum Disorder Research
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
- Visual Attention and Saliency Detection
- Obsessive-Compulsive Spectrum Disorders
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Attention Deficit Hyperactivity Disorder
- Neural dynamics and brain function
- Child Abuse and Trauma
- Cognitive and developmental aspects of mathematical skills
- Genetics and Neurodevelopmental Disorders
- Color perception and design
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Assistive Technology in Communication and Mobility
- Morphological variations and asymmetry
- Virology and Viral Diseases
- Child and Adolescent Psychosocial and Emotional Development
- Early Childhood Education and Development
- Birth, Development, and Health
- Maternal Mental Health During Pregnancy and Postpartum
- Spatial Cognition and Navigation
- Image Retrieval and Classification Techniques
Vanderbilt University
2021-2023
University of Louisville
2023
Lynn University
2019
Brown University
2016-2019
University of Pittsburgh
2013-2017
Virginia Tech
2013
Characterizing the nature of developmental change is critical to understanding mechanisms that are impaired in complex neurodevelopment disorders such as autism spectrum disorder (ASD) and, pragmatically, may allow us pinpoint periods plasticity when interventions particularly useful. Although aberrant brain development has long been theorized a characteristic feature ASD, neural substrates have difficult characterize, part due lack data and performance confounds. To address these issues, we...
Abstract Face recognition abilities improve between adolescence and adulthood over typical development ( TD ), but plateau in autism, leading to increasing face deficits autism later life. Developmental differences may reflect changes neural systems involved the of encoding recognition. Here, we focused on whole‐brain connectivity with fusiform area FFA a well‐established face‐preferential brain region. Older children, adolescents, adults without completed Cambridge Memory Test, matched car...
Difficulties with face recognition increase from adolescence to adulthood in autism, reflecting a lack of typical late development. We examined whether this reflects differences the development patterns fixation eyes and mouths during recognition. Children, adolescents, adults (aged 7–30) without autism completed Cambridge Face Memory Test while gaze was recorded. Average duration number fixations were calculated for mouth regions interest, defined individually each image task. All groups...
Autism Spectrum Disorder (ASD) is associated with atypical activation in the ventral stream during face processing. The current study further characterizes development of processing ASD using a multivoxel pattern analysis, which assesses similarity representation exemplars from same category.Ninety-two children, adolescents and adults - without performed Cambridge Face Memory Test, Australian matched car memory test. Regions interest these tasks included Fusiform Area (FFA), based on...
This paper reviews the concept of image mosaicing and presents a comparison between two most common techniques. The first technique is based on normalized cross correlation (NCC) for registering overlapping 2D images 3D scene. second mutual information (MI). experimental results demonstrate that techniques have similar performance in cases but there are some interesting differences. choice distinctive template critical when working with NCC. On other hand, using MI, registration procedure...
Abstract The development of spatial visual attention has been extensively studied in infants, but far less is known about the emergence object‐based attention. We tested 3–5‐ and 9–12‐month‐old infants on a task that allowed us to measure infants’ orienting bias toward whole objects when they competed with color, motion, orientation feature information. Infants’ was affected by dimension competing feature. Whether biased object or its salient (e.g., “ball” “red”) changed age for color...
Abstract A critical goal of cognitive neuroscience is to predict behavior from neural structure and function, thereby providing crucial insights into who might benefit clinical and/or educational interventions. Across development, the strength functional connectivity among a distributed set brain regions associated with children’s math skills. Therefore, in present study we use connectome-based predictive modeling investigate whether during numerical processing at rest “predicts” skills (N =...
Abstract Autism spectrum disorder (ASD) is associated with atypical visual processing and deficits in working memory (WM). Visual WM performance typically improves between childhood adulthood, but such improvement may be ASD. To better understand how develops, we used a well‐established change detection task across multiple features. We examined for color, shape, pattern children, adolescents, adults without VWM capacity all features improved age similarly both the TD ASD groups. While was...
Previous work indicates that adults with autism display a decreased capacity when rapidly enumerating small sets of elements (i.e., subitizing), compared to typically developing (TD) individuals. This ability is crucial for fundamental visual functions such as object individuation and parallel processing. Thus, the deficit in suggests limits these skills. To examine neural basis this limitation, without high functioning enumerated 1 8 randomly located squares during neuroimaging study....
Childhood adversity is associated with poorer health and lower academic achievement later in life. Poor math skills particular place individuals at higher risk for physical mental illness, unemployment, incarceration, suggesting may be one explanatory mechanism linking to functioning. While it well documented that children's achievement, also plausible mothers experience across their lifetime affect the child's achievement. Determine whether children directly own childhood and/or adulthood...
We build on the existing biased competition view to argue that attention is an emergent property of neural computations within and across hierarchically embedded structurally connected cortical pathways. Critically then, one must ask, what from? Within this framework, developmental changes in quality sensory input feedforward-feedback information flow shape emergence efficiency attention. Several gradients developing structural functional architecture caudal-to-rostral axis provide substrate...
Children (N = 103, 4-9 years, 59 females, 84% White, c. 2019) completed visual processing, feature integration (color, luminance, motion), and search tasks. Contrast sensitivity improved with age similarly for luminance color-defined targets. Incidental more color-motion than luminance-motion. Individual differences in (
A critical goal of cognitive neuroscience is to predict behavior from neural structure andfunction, thereby providing crucial insight into who might benefit clinical and/or educational interventions. Across development, the strength functional connectivity among a distributed set brain regions associated with children’s math skills. Therefore, in present study we use Connectome-based Predictive Modeling investigate whether during numerical processing and at rest predicts skills (N = 31, Mage...
Visual working memory (VWM) typically improves across childhood and adolescence. Yet, it remains unclear whether such improvement occurs in autism (ASD). We measured color, shape, pattern VWM performance children (N=49; Mage=11y; 41 males), adolescents (N=46; Mage=15y; 38 adults (N=51; Mage=24y; 47 males) with without ASD (91% White, 6% Black or multiracial). By adulthood, color accuracy among 4 items was better the TD group relative to (p2=.039). In childhood, shape RT 8 faster (p2=.063)....
We tested 4-9.5-year-old children on a naturalistic memory-guided attention visual search task. measured fixation distribution during using wearable eye tracking, and simultaneously recorded depth video data for each participant used computer vision algorithms to track them navigation. manipulated object placement trial order such that nearby objects would be encountered initial reference objects. computational model of top-down guidance features examined the use this subsequent search. The...