A5049320989- Neurobiology of Language and Bilingualism
- Reading and Literacy Development
- Transcranial Magnetic Stimulation Studies
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Advanced Neuroimaging Techniques and Applications
- Neural and Behavioral Psychology Studies
- Action Observation and Synchronization
- Spatial Neglect and Hemispheric Dysfunction
- Stroke Rehabilitation and Recovery
- Neuroscience and Music Perception
- Language Development and Disorders
- Multisensory perception and integration
- Vestibular and auditory disorders
- Hemispheric Asymmetry in Neuroscience
- Advanced MRI Techniques and Applications
- Motor Control and Adaptation
- Phonetics and Phonology Research
- Acute Ischemic Stroke Management
- Tactile and Sensory Interactions
- Cognitive and developmental aspects of mathematical skills
- Psychology of Moral and Emotional Judgment
- Brain Tumor Detection and Classification
- Interpreting and Communication in Healthcare
- Neuroscience and Neural Engineering
MedStar National Rehabilitation Hospital
2016-2025
Georgetown University Medical Center
2016-2025
Georgetown University
2016-2025
Weatherford College
2024
Deleted Institution
2023
National Rehabilitation Hospital
2022
Georgetown-Howard Universities Center for Clinical and Translational Science
2015-2020
National Center for Advancing Translational Sciences
2015
Doris Duke Charitable Foundation
2015
University of Pennsylvania
2008-2011
Abstract Activation Likelihood Estimation (ALE) is an objective, quantitative technique for coordinate‐based meta‐analysis (CBMA) of neuroimaging results that has been validated a variety uses. Stepwise modifications have improved ALE's theoretical and statistical rigor since its introduction. Here, we evaluate two avenues to further optimize ALE. First, demonstrate the maximum contribution experiment makes ALE map related number foci it reports their proximity. We present modified algorithm...
Abstract Activation likelihood estimation (ALE) has greatly advanced voxel‐based meta‐analysis research in the field of functional neuroimaging. We present two improvements to ALE method. First, we evaluate feasibility techniques for correcting multiple comparisons: single threshold test and a procedure that controls false discovery rate (FDR). To these techniques, foci from four different topics within literature were analyzed: overt speech stuttering subjects, color‐word Stroop task,...
Abstract Meta‐analysis is an important tool for interpreting results of functional neuroimaging studies and highly influential in predicting testing new outcomes. Although traditional label‐based review can be used to search agreement across multiple studies, a function‐location meta‐analysis technique called activation likelihood estimation (ALE) offers great improvements over conventional methods. In ALE, reported foci are modeled as Gaussian functions pooled create statistical whole‐brain...
We have long known that language is lateralized to the left hemisphere (LH) in most neurologically healthy adults. In contrast, findings on lateralization of function during development are more complex. As adults, anatomical, electrophysiological, and neuroimaging studies infants children indicate LH for language. However, very young children, lesions either equally likely result deficits, suggesting distributed symmetrically early life. address this apparent contradiction by examining...
Lesion-symptom mapping has become a cornerstone of neuroscience research seeking to localize cognitive function in the brain by examining sequelae lesions. Recently, multivariate lesion-symptom methods have emerged, such as support vector regression, which simultaneously consider many voxels at once when determining whether damaged regions contribute behavioral deficits (Zhang, Kimberg, Coslett, Schwartz, & Wang, ). Such approaches are capable identifying complex dependences that traditional...
REVIEW article Front. Psychol., 11 October 2011Sec. Language Sciences volume 2 - 2011 | https://doi.org/10.3389/fpsyg.2011.00239
Neuroimaging researchers have developed rigorous community data and metadata standards that encourage meta-analysis as a method for establishing robust meaningful convergence of knowledge human brain structure function. Capitalizing on these standards, the BrainMap project offers databases, software applications, other associated tools supporting promoting quantitative coordinate-based structural functional neuroimaging literature.In this report, we describe recent technical updates to...
It has been proposed that the cerebellum acquires internal models of mental processes enable prediction, allowing for optimization behavior. In language, semantic prediction speeds speech production and comprehension. Right cerebellar lobules VI VII (including Crus I/II) are engaged during a variety language functionally connected with cerebral cortical networks. Further, right posterolateral neuromodulation modifies behavior predictive processing. These data consistent role in processing...
Abstract The gold standard for identifying stroke lesions is manual tracing, a method that known to be observer dependent and time consuming, thus impractical big data studies. We propose LINDA (Lesion Identification with Neighborhood Data Analysis), an automated segmentation algorithm capable of learning the relationship between existing segmentations single T1‐weighted MRI. A dataset 60 left hemispheric chronic patients used build test it k ‐fold leave‐one‐out procedures. With respect...
Although much effort has been directed toward understanding the neural basis of speech processing, processes involved in categorical perception have relatively less studied, and many questions remain open. In this functional magnetic resonance imaging (fMRI) study, we probed cortical regions mediating using an advanced brain-mapping technique, whole-brain multivariate pattern-based analysis (MVPA). Normal healthy human subjects (native English speakers) were scanned while they listened to 10...
The neural mechanisms underlying recovery of language after left hemisphere stroke remain elusive. Although older evidence suggested that right homologues compensate for damage in areas, the current prevailing theory suggests engagement is ineffective or even maladaptive. Using a novel combination support vector regression-based lesion-symptom mapping and voxel-based morphometry, we aimed to determine whether local grey matter volume independently contributes aphasia outcomes chronic stroke....
Understanding the relationships between clinical tests, processes they measure, and brain networks underlying them, is critical in order for clinicians to move beyond aphasia syndrome classification toward specification of individual language process impairments.To understand cognitive, language, neuroanatomical factors scores commonly used tests.Twenty-five behavioral tests were administered a group 38 chronic left hemisphere stroke survivors high-resolution magnetic resonance image was...