ArticleFrontiers in neurology2016
Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors.
Article in Frontiers in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 72 citations in OpenAlex.
- Scalable Precision Psychiatry With an Objective Measure of Psychological Stress: Prospective Real-World Study.Journal of medical Internet research · 2025Observational
- Hidden social and emotional competencies in autism spectrum disorders captured through the digital lens.Frontiers in psychiatry · 2025Article
- Irregularity of instantaneous gamma frequency in the motor control network characterize visuomotor and proprioceptive information processing.Journal of neural engineering · 2024Article
- Digital screener of socio-motor agency balancing motor autonomy and motor control.Frontiers in human neuroscience · 2024Article
- Motor Signatures in Digitized Cognitive and Memory Tests Enhances Characterization of Parkinson's Disease.Sensors (Basel, Switzerland) · 2022Article
- Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Psychiatric Disorders.Frontiers in neuroscience · 2022Article
- Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021Review
- Precision Autism: Genomic Stratification of Disorders Making Up the Broad Spectrum May Demystify Its "Epidemic Rates".Journal of personalized medicine · 2021Article
- Optimal time lags from causal prediction model help stratify and forecast nervous system pathology.Scientific reports · 2021Article
- Personalized Biometrics of Physical Pain Agree with Psychophysics by Participants with Sensory over Responsivity.Journal of personalized medicine · 2021Article
- The Autonomic Nervous System Differentiates between Levels of Motor Intent and End Effector.Journal of personalized medicine · 2020Article
- Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches.International journal of molecular sciences · 2020Review
- Aging with Autism Departs Greatly from Typical Aging.Sensors (Basel, Switzerland) · 2020Article
- Age-Dependent Statistical Changes of Involuntary Head Motion Signatures Across Autism and Controls of the ABIDE Repository.Frontiers in integrative neuroscience · 2020Article
- Peripheral Network Connectivity Analyses for the Real-Time Tracking of Coupled Bodies in Motion.Sensors (Basel, Switzerland) · 2018Article
- Statistical Platform for Individualized Behavioral Analyses Using Biophysical Micro-Movement Spikes.Sensors (Basel, Switzerland) · 2018Article
- Multi-Scale Coordination of Distinctive Movement Patterns During Embodied Interaction Between Adults With High-Functioning Autism and Neurotypicals.Frontiers in psychology · 2018Article
- Objective measurement of head movement differences in children with and without autism spectrum disorder.Molecular autism · 2018Article
- Characterization of Noise Signatures of Involuntary Head Motion in the Autism Brain Imaging Data Exchange Repository.Frontiers in integrative neuroscience · 2018Article
- Characterization of Sensory-Motor Behavior Under Cognitive Load Using a New Statistical Platform for Studies of Embodied Cognition.Frontiers in human neuroscience · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a critical need for new analytics to personalize behavioral data analysis across different fields, including kinesiology, sports science, and behavioral neuroscience. Specifically, to better translate and integrate basic research into patient care, we need to radically transform the methods by which we describe and interpret movement data. Here, we show that hidden in the "noise," smoothed out by averaging movement kinematics data, lies a wealth of information that selectively differentiates neurological and mental disorders such as Parkinson's disease, deafferentation, autism spectrum disorders, and schizophrenia from typically developing and typically aging controls. In this report, we quantify the continuous forward-and-back pointing movements of participants from a large heterogeneous cohort comprising typical and pathological cases. We empirically estimate the statistical parameters of the probability distributions for each individual in the cohort and report the parameter ranges for each clinical group after characterization of healthy developing and aging groups. We coin this newly proposed platform for individualized behavioral analyses "precision phenotyping" to distinguish it from the type of observational-behavioral phenotyping prevalent in clinical studies or from the "one-size-fits-all" model in basic movement science. We further propose the use of this platform as a unifying statistical framework to characterize brain disorders of known etiology in relation to idiopathic neurological disorders with similar phenotypic manifestations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.