Studies of Brain and Body Interaction
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|ClinicalTrials.gov Identifier: NCT03672266|
Recruitment Status : Recruiting
First Posted : September 14, 2018
Last Update Posted : September 14, 2018
|Condition or disease|
|Autistic Disorders Spectrum Adhd Asperger Syndrome Alzheimer Disease Parkinson Tremor Essential Dementia, Alzheimer Type Lewy Body Dementia With Behavioral Disturbance (Disorder) Dementia With Lewy Bodies Dementia Frontal|
What is the study for? The goal of this study is to characterize biophysical signals simultaneously co-registered from the person's nervous systems. To that end the investigators use multiple wearable biosensors (electroencephalogram, electrocardiogram, kinematics,etc.) and have the person move naturally during activities that are similar to what the person would do in activities of daily living. These include walking, walking with a metronome in the background and walking while breathing at the metronome's pace. The purpose of the study is to learn about the inherent properties of the biorhythms of each person in order to build a proper neurotypical scale and measure the departure of several groups of subjects from this typical ranges. These include Autism Spectrum Disorder(s), ADHD (Attention-deficit/hyperactivity disorder) , Asperger's Syndrome, Alzheimer's Disease, and/or Fragile X syndrome. This study does not provide any recommendations of diagnosis or treatment. It is merely a characterization of the person's biorhythms across these conditions.
What will the participant do? The participant will perform naturalistic behaviors (ex. walk naturally around the room, point at an object) while hearing a metronome beating in the background. At certain points, the participant will be instructed to breathe along with the beat of the metronome. During this experiment, the participant will be wearing a wireless Electroencephalographic (EEG) cap to record brain activity, wireless motion sensors around the body to record movement, and wireless electrocardiogram (ECG) on the chest to record heart activity.The participant will also be wearing Zeblok insoles placed inside their shoes, to monitor their gait. The recorded biophysical signals are to be used to assess biorhythms of the nervous system from an already diagnosed participants and neurotypical participants, as this experiment is designed to study and characterize the biophysical signals of various populations. The study does not provide criteria for diagnosis, nor does it provide recommendations for treatments. The study is merely characterizing the ranges of biophysical data and their variability across different populations to measure departure from neurotypical features. Please note, wearing a wireless EEG cap will involve applying electrode gel (similar to hair gel) on the participant's hair.
How long is the experiment? The experiment itself will take 45 minutes - comprising 3 walking trials lasting 15 minutes each - but this can be reduced depending on the participant's disposition. Breaks for light refreshments and sensory toys will be provided as needed. The setup will take an additional 15-30 minutes.
Where/when does the experiment take place? The experiment will be conducted at the Sensory-motor Integration Lab, Psychology Building on Busch campus, at Rutgers University (152 Frelinghuysen Road, Piscataway, NJ 08854). If necessary the experiment may also be conducted at the participant's home. Based on the availability of the participant and the experimenter, the date and place can be coordinated any day and time of the week - including weekends. Additional members of staff can provide on-site childcare for siblings upon request.
|Study Type :||Observational|
|Estimated Enrollment :||100 participants|
|Official Title:||Studies of Brain and Body Interaction at Rutgers University|
|Actual Study Start Date :||August 1, 2018|
|Estimated Primary Completion Date :||July 1, 2019|
|Estimated Study Completion Date :||July 1, 2019|
Individuals with neurological disorders such as Autism Spectrum Disorder(s), including those who may also have an ADHD diagnosis, Asperger's Syndrome, Alzheimer's Disease, Fragile X syndrome, Parkinson's disease, Lewy Body Dementia, and/or Frontoparietal Dementia
Healthy individuals with no known neurological disorders
- Unitless Stochastic Signatures of Biophysiological Signals, consisting of the Empirically Estimated Shape and Dispersion (scale) Parameters of Probability Distribution Functions [ Time Frame: through study completion, an average of 1 year ]
Biophysical signals extracted from the brain and heart (mV) and motor kinematics (m/s) activities will be normalized and scaled to a unit-less waveform dataset. The standardized unitless data set will account for anatomical differences and will then be empirically characterized as families of probability distributions for each person, by the shape and scale parameters of continuous families of probability distribution functions with variable shapes and dispersion (noise to signal ratio). These parameters are objective biomarkers for a variety of disorders, and inform the level of noise-to-signal ratio and predictability of an individual's biorhythms (Torres, 2018).
Torres, E. (2018). Objective Biometric Methods for the Diagnosis and Treatment of Nervous Systems Disorder: Elsevier
- Brain and Body Connectivity metrics and Derived Geometric and Topological Indexes from the Network Connectivity Model and Inverse Kinematic Model [ Time Frame: through study completion, an average of 1 year ]Based on a mathematical network connectivity model (Rubinov and Sporns, 2010), the investigators will measure how the brain and body (central and peripheral networks) interact while participants perform naturalistic tasks. Based on the physiological data from the brain and heart activities (mV) and motor kinematics (m/s), the experimental analytics provide a model that measures unit-less connectivity measures between different parts of the body. Namely, they are degrees (i.e., number of links connected to a node), shortest path length (a basis for measuring integration), number of triangles (a basis for measuring segregation), and modularity. Further, analyzes of forward and inverse kinematics dynamics will be derived from the three dimensional positional and orientation data of the kinematic sensors along with the person's mass and bone-length data, using state of the art models of inverse dynamics (Torres, 2001).
- Information theoretic metric [ Time Frame: through study completion, an average of 1 year ]Based on an information theoretic model (Shannon,1956), the investigators will quantify the probability distribution function of measured biophysical signals from the brain and heart (mV) and kinematics (m/s), and characterize information passing across the central and peripheral nervous systems, including as well the autonomic nervous system.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03672266
|Contact: Jihye Ryu, MSfirstname.lastname@example.org|
|Contact: Elizabeth Torres, PhDemail@example.com|
|United States, New Jersey|
|Piscataway, New Jersey, United States, 08854-8020|
|Contact: Jihye Ryu, MS 917-378-1164 firstname.lastname@example.org|