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My lab has devoted the last decade to the development of dynamic digital biomarkers for the diagnosis and treatments of nervous systems disorders, autism spectrum disorders among them. We have been granted 6 US patents to (1) detect physiologically relevant motions, (2) detect amount of volition in a person, (3) track neurodevelopmental disorders, (4) diagnose and treat neurological disorders, (5) objectively and longitudinally assess in personalized manner post severe traumatic brain injury, (6) use in the European Union. Currently, my lab employs these new technologies to translate continuous (analogue) signals to micro-spiking (digital) signals and provide a stochastic characterization of spontaneous (endogenously driven) and intended (exogenously driven) biorhythms, harnessed across different layers of the nervous systems. We have used a combination of open access data repositories, in-lab, and in-home/clinic/schools data collection to characterize several thousand autistics and controls ranging from 3-60 years old. Furthermore, we have co-registered multiple biorhythms using wearables at home from over 60 neonates inclusive of preterm and full-term babies and tracked them over the span of 5months, in tandem with physical growth and clinical scores, providing biomarkers of neurodevelopmental derailment by 3 months. We have digitized the ADOS test, characterized probability landscapes across maturational levels from 3-60 years of age in autism, discovered a power law characterizing the signatures of noise-to-signal ratio in biorhythms across levels of neuromotor control, with specificity to ASD and unveiled new methods to stratify the broad spectrum of autism disorders according to motor noise and IQ levels. More recently, we have teamed up with geneticists at the Salk Institute and developed new computational methods to dynamically interrogate the human and mouse transcriptomes, tracking neuronal classes from autism-linked genes. These new analytical platforms and protocols have also included ADHD, now comorbid with ASD, along with other developmental issues giving rise to sensory-related disorders in the latest DSM-5 criteria. Our work in autism spans not only face-to-face digitized assessment of hundreds of individuals with idiopathic autism, but also dozens of individuals with Fragile X, SHANK3 deletion syndrome and Tourette’s syndrome, who have received the ASD diagnosis. My lab has produced two books in the autism space, one e-book in 2013, published in the Journal of Frontiers in Integrative Neuroscience with over 650,000 hits across the world and another by Taylor and Francis “Autism: The Movement Sensing Perspective” with 99 authors inclusive of self-advocates and parents. In the space of biomarkers, I have published “Objective Biometrics Methods for the Diagnosis and Treatments of Nervous Systems Disorders” by Elsevier, with a companion website that distributes code in Python and MATLAB and data sets to reproduce our work and to serve as a training guide for others in the field. We have completed an IGF1 clinical trial in collaboration with Mount Sinai and discovered new ways to assess gait issues in idiopathic autism and SHANK3 deletion syndrome autism. Further, we have created a new unifying statistical platform for individualized behavioral analysis (SPIBA) amenable to study, track and alter naturalistic behaviors. This platform has been used in sports, the performing arts and school settings to aid in social emotional learning. My lab is well positioned to undertake the aims of the proposal and deliver new dynamic biomarkers of neurodevelopment to both screen for very early signs of derailment predictive of a diagnosis of autism and continuously track the disorder’s progression over time, beyond its early detection. Importantly, because of the personalized nature of our biometrics and their fine-grain resolution, combining our platform with non-linear methods of causal prediction, we can separate changes due to natural developmental progression, from changes due to interventions, varying as a function of age.
Research Interests
Papers共 162 篇Author StatisticsCo-AuthorSimilar Experts
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Journal of neural engineeringno. 2 (2024)
FRONTIERS IN INTEGRATIVE NEUROSCIENCE (2024): 1251252-1251252
Julie Martin,Leila Wood, Cassandra E Gamble, Alexandria Sedar, Abdel E Montoya, Julio C Mejia, Angelina Sosa-Lovera,Julio A Canario-Guzmán,Elizabeth D Torres,Elizabeth Baumler,Jeff R Temple,Jonathan Pettigrew,
Panamerican Journal of Trauma, Critical Care & Emergency Surgeryno. 1 (2024): 57-65
Frontiers in Integrative Neuroscience (2023): 1290824
Elizabeth B. Torres, Goldie Twerski,Hannah Varkey,Richa Rai, Mona Elsayed, Miriam Tirtza Katz, Jillian Tarlowe
bioRxiv (Cold Spring Harbor Laboratory) (2023)
medRxiv (Cold Spring Harbor Laboratory) (2023)
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Author Statistics
#Papers: 166
#Citation: 2683
H-Index: 27
G-Index: 49
Sociability: 6
Diversity: 3
Activity: 40
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