Dataset Information

Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors.

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.

SUBMITTER: Torres EB

PROVIDER: S-EPMC4735831 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors.

Torres Elizabeth B EB Isenhower Robert W RW Nguyen Jillian J Whyatt Caroline C Nurnberger John I JI Jose Jorge V JV Silverstein Steven M SM Papathomas Thomas V TV Sage Jacob J Cole Jonathan J

Frontiers in neurology 20160202

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 different ...[more]

PMID: 26869988

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Project description:BackgroundNatural health products (NHPs), including vitamins, minerals, and herbal supplements, are the most common complementary and alternative medicine (CAM) among cancer patients. Our survey determined the attitudes and behaviors of cancer patients toward natural complementary therapies that should be considered to implement an integrative approach in the future.MethodsOur survey was conducted in four hospitals in Belgium. Questionnaires were posted online from October 2020 to October 2021 for cancer patients. Descriptive statistics were used to analyze the data. A [Formula: see text] test was applied to study the type of NHP consumed according to diagnosis time. Fischer's exact test compared patients who had changed their consumption since diagnosis and those who had not.ResultsOut of 349 questionnaires collected, only 59 met all inclusion criteria. 83.1 % of the patients agreed that conventional medicine (CM) could benefit from complementary therapies, but they did not estimate (72.3 % of the patients) that those latter are more effective than conventional medicine. More than half of the patients used five or more NHPs. The most frequent NHPs consumed daily were vitamins (64.4 %), followed by other products (i.e., probiotics, gemmotherapy, birch sap and omega 3/6) (42.4 %) and herbs (40.7 %). Almost all patients started taking NHPs before their cancer diagnosis, but 72.7 % have changed their consumption significantly (p = 0.009) since their diagnosis. Boosting the immune system (79.7 %) and limiting conventional treatment side effects (76.9 %) were the most common reasons for NHPs' use. 74.4 % of the patients did not take complementary therapies to delay or avoid conventional treatment.ConclusionsThe combination and high diversity of NHPs consumption highlight the importance of educating patients and healthcare providers (HCPs) about the risk of drug interactions associated with these natural products. Most cancer patients are more interested in using this non-mainstream medicine to complement their conventional treatment than as an alternative. Knowing the patients' reasons and understanding patients' attitudes toward NHPs will be essential for HCPs to address NHPs' use.

Dataset Information

Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors.

Publications

Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors.

Similar Datasets

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