Jacob Levman
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View article: A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents
A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents Open
Regional anatomical structures of the brain are intimately connected to functions corresponding to specific regions and the temporospatial pattern of genetic expression and their functions from the fetal period to old age. Therefore, quant…
View article: Random matrix theory tools for the predictive analysis of functional magnetic resonance imaging examinations
Random matrix theory tools for the predictive analysis of functional magnetic resonance imaging examinations Open
Eigenfeatures clearly have potential for understanding fMRI functional connectivity in a wide variety of scenarios. The utility of these features is strongly dependent on analytic decisions, suggesting caution when interpreting past and fu…
View article: Error Consistency for Machine Learning Evaluation and Validation with Application to Biomedical Diagnostics
Error Consistency for Machine Learning Evaluation and Validation with Application to Biomedical Diagnostics Open
Supervised machine learning classification is the most common example of artificial intelligence (AI) in industry and in academic research. These technologies predict whether a series of measurements belong to one of multiple groups of exa…
View article: Integration of structural MRI and epigenetic analyses hint at linked cellular defects of the subventricular zone and insular cortex in autism: Findings from a case study
Integration of structural MRI and epigenetic analyses hint at linked cellular defects of the subventricular zone and insular cortex in autism: Findings from a case study Open
Introduction Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction, communication and repetitive, restrictive behaviors, features supported by cortical activity. Given the importanc…
View article: Editorial: Advanced analytic techniques in developmental neuroscience
Editorial: Advanced analytic techniques in developmental neuroscience Open
EDITORIAL article Front. Neurosci., 05 January 2023Sec. Neurodevelopment Volume 16 - 2022 | https://doi.org/10.3389/fnins.2022.1070337
View article: Lesion-Specific Prediction with Discriminator-Based Supervised Guided Attention Module Enabled GANs in Multiple Sclerosis
Lesion-Specific Prediction with Discriminator-Based Supervised Guided Attention Module Enabled GANs in Multiple Sclerosis Open
Multiple Sclerosis (MS) is a chronic neurological condition characterized by the development of lesions in the white matter of the brain. T2-fluid attenuated inversion recovery (FLAIR) brain magnetic resonance imaging (MRI) provides superi…
View article: A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning
A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning Open
We have performed a morphological analysis of patients with schizophrenia and compared them with healthy controls. Our analysis includes the use of publicly available automated extraction tools to assess regional cortical thickness (inclus…
View article: FDMine: a graph mining approach to predict and evaluate food-drug interactions
FDMine: a graph mining approach to predict and evaluate food-drug interactions Open
Food-drug interactions (FDIs) arise when nutritional dietary consumption regulates biochemical mechanisms involved in drug metabolism. Towards characterizing the nature of food’s influence on pharmacological treatment, it is essential to d…
View article: Structural abnormalities in paediatric moyamoya disease revealed by clinical magnetic resonance imaging, regionally distributed relative signal intensities and volumes
Structural abnormalities in paediatric moyamoya disease revealed by clinical magnetic resonance imaging, regionally distributed relative signal intensities and volumes Open
Moyamoya disease (MMD) is a rare, progressive cerebrovascular disorder, with an unknown aetiology and pathogenesis. It is characterized by steno‐occlusive changes at the terminal portion of the internal carotid artery (ICA), which is accom…
View article: Small Nucleus Accumbens and Large Cerebral Ventricles in Infants and Toddlers Prior to Receiving Diagnoses of Autism Spectrum Disorder
Small Nucleus Accumbens and Large Cerebral Ventricles in Infants and Toddlers Prior to Receiving Diagnoses of Autism Spectrum Disorder Open
Early interventions for autism spectrum disorder (ASD) are increasingly available, while only 42–50% of ASD children are diagnosed before 3 years old (YO). To identify neuroimaging biomarkers for early ASD diagnosis, we evaluated surface- …
View article: FDMine: a graph mining approach to predict and evaluate food-drug interactions
FDMine: a graph mining approach to predict and evaluate food-drug interactions Open
Food-drug interactions (FDIs) arise when nutritional dietary consumption regulates biochemical mechanisms involved in drug metabolism. These interactions can create unexpected adverse pharmacological effects. By contrast, particular foods …
View article: Hardware Software Co-Synthesis of Heterogenous Hypercube Architectures for Fault Tolerant Embedded Systems
Hardware Software Co-Synthesis of Heterogenous Hypercube Architectures for Fault Tolerant Embedded Systems Open
The hardware-software synthesis of an embedded system's architecture involves the partitioning of a system specification into hardware and software modules so as to meet various non-functional requirements. A designer can specify many non-…
View article: Hardware Software Co-Synthesis of Heterogenous Hypercube Architectures for Fault Tolerant Embedded Systems
Hardware Software Co-Synthesis of Heterogenous Hypercube Architectures for Fault Tolerant Embedded Systems Open
The hardware-software synthesis of an embedded system's architecture involves the partitioning of a system specification into hardware and software modules so as to meet various non-functional requirements. A designer can specify many non-…
View article: Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults
Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults Open
Autism is a group of complex neurodevelopmental disorders characterized by impaired social interaction and restricted/repetitive behavior. We performed a large-scale retrospective analysis of 1,996 clinical neurological structural magnetic…
View article: A Sorting Statistic with Application in Neurological Magnetic Resonance Imaging of Autism
A Sorting Statistic with Application in Neurological Magnetic Resonance Imaging of Autism Open
Effect size refers to the assessment of the extent of differences between two groups of samples on a single measurement. Assessing effect size in medical research is typically accomplished with Cohen’s d statistic. Cohen’s d statistic assu…
View article: Multivariate Analyses Applied to Healthy Neurodevelopment in Fetal, Neonatal, and Pediatric MRI
Multivariate Analyses Applied to Healthy Neurodevelopment in Fetal, Neonatal, and Pediatric MRI Open
Multivariate analysis (MVA) is a class of statistical and pattern recognition techniques that involve the processing of data that contains multiple measurements per sample. MVA can be used to address a wide variety of neurological medical …
View article: Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders
Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders Open
Multivariate analysis (MVA) is a class of statistical and pattern recognition methods that involve the processing of data that contains multiple measurements per sample. MVA can be used to address a wide variety of medical neuroimaging-rel…