Read by QxMD icon Read


Krzysztof J Gorgolewski, Joke Durnez, Russell A Poldrack
Here we present preprocessed MRI data of 265 participants from the Consortium for Neuropsychiatric Phenomics (CNP) dataset. The preprocessed dataset includes minimally preprocessed data in the native, MNI and surface spaces accompanied with potential confound regressors, tissue probability masks, brain masks and transformations. In addition the preprocessed dataset includes unthresholded group level and single subject statistical maps from all tasks included in the original dataset. We hope that availability of this dataset will greatly accelerate research...
2017: F1000Research
Todd C Pataky, Mark A Robinson, Jos Vanrenterghem
Statistical power assessment is an important component of hypothesis-driven research but until relatively recently (mid-1990s) no methods were available for assessing power in experiments involving continuum data and in particular those involving one-dimensional (1D) time series. The purpose of this study was to describe how continuum-level power analyses can be used to plan hypothesis-driven biomechanics experiments involving 1D data. In particular, we demonstrate how theory- and pilot-driven 1D effect modeling can be used for sample-size calculations for both single- and multi-subject experiments...
October 7, 2017: Journal of Biomechanics
Susan Rvachew, Marla Folden
PURPOSE: The achievement of speech intelligibility by persons with Down syndrome facilitates their participation in society. Denial of speech therapy services by virtue of low cognitive skills is a violation of their fundamental human rights as proclaimed in the Universal Declaration of Human Rights in general and in Article 19 in particular. Here, we describe the differential response of an adolescent with Down syndrome to three speech therapy interventions and demonstrate the use of a single subject randomisation design to identify effective treatments for children with complex communication disorders...
November 10, 2017: International Journal of Speech-language Pathology
Heather Leavy Rusiewicz, Jessica Lynch Rivera
Purpose: Despite the widespread use of hand movements as visual and kinesthetic cues to facilitate accurate speech produced by individuals with speech sound disorders (SSDs), no experimental investigation of gestural cues that mimic that spatiotemporal parameters of speech sounds (e.g., holding fingers and thumb together and "popping" them to cue /p/) currently exists. The purpose of this study was to examine the effectiveness of manual mimicry cues within a multisensory intervention of persisting childhood apraxia of speech (CAS)...
November 8, 2017: American Journal of Speech-language Pathology
Deborah Weissman-Miller, Rosalie J Miller, Mary P Shotwell
Translational research is redefined in this paper using a combination of methods in statistics and data science to enhance the understanding of outcomes and practice in occupational therapy. These new methods are applied, using larger data and smaller single-subject data, to a study in hippotherapy for children with developmental disabilities (DD). The Centers for Disease Control and Prevention estimates DD affects nearly 10 million children, aged 2-19, where diagnoses may be comorbid. Hippotherapy is defined here as a treatment strategy in occupational therapy using equine movement to achieve functional outcomes...
2017: Occupational Therapy International
Ashwini M Namasivayam-MacDonald, Lynsey Burnett, Ahmed Nagy, Ashley A Waito, Catriona M Steele
Purpose: The primary aim of this study was to determine the feasibility and effectiveness of an 8-week tongue-strengthening intervention protocol for seniors with mild to moderately severe cognitive impairment in the long-term care setting. Outcome measures of interest included tongue strength, mealtime duration, and food intake. Method: In this pre-post group study of treatment outcomes, data were collected from 7 adults (aged 84-99 years). Participants were observed across a series of mealtimes to determine mealtime duration and intake before and after 16 treatment sessions...
November 8, 2017: American Journal of Speech-language Pathology
Kathleen D Klinich, Miriam A Manary, Laura A Malik, Carol A Flannagan, Jessica S Jermakian
OBJECTIVE: Investigate vehicle factors associated with child restraint tether use and misuse in pickup trucks and evaluate four labeling interventions designed to educate consumers on proper tether use. METHODS: Volunteer testing was performed with 24 subjects and four different pickup trucks. Each subject performed eight child restraint installations among the four pickups using two forward-facing restraints: a Britax Marathon G4.1 and an Evenflo Triumph. Vehicles were selected to represent four different implementations of tether anchors among pickups: plastic loop routers (Chevrolet Silverado), webbing routers (Ram), back wall anchors (Nissan Frontier), and webbing routers plus metal anchors (Toyota Tundra)...
October 30, 2017: Traffic Injury Prevention
Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
Many methods have been developed to spatially normalize a population of brain images for estimating a mean image as a population-average atlas. However, methods for deriving a network atlas from a set of brain networks sitting on a complex manifold are still absent. Learning how to average brain networks across subjects constitutes a key step in creating a reliable mean representation of a population of brain networks, which can be used to spot abnormal deviations from the healthy network atlas. In this work, we propose a novel network atlas estimation framework, which guarantees that the produced network atlas is clean (for tuning down noisy measurements) and well-centered (for being optimally close to all subjects and representing the individual traits of each subject in the population)...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
Saskia Bollmann, Alexander M Puckett, Ross Cunnington, Markus Barth
When performing statistical analysis of single-subject fMRI data, serial correlations need to be taken into account to allow for valid inference. Otherwise, the variability in the parameter estimates might be under-estimated resulting in increased false-positive rates. Serial correlations in fMRI data are commonly characterized in terms of a first-order autoregressive (AR) process and then removed via pre-whitening. The required noise model for the pre-whitening depends on a number of parameters, particularly the repetition time (TR)...
October 21, 2017: NeuroImage
Sarah E Schmedes, August E Woerner, Nicole M M Novroski, Frank R Wendt, Jonathan L King, Kathryn M Stephens, Bruce Budowle
The human skin microbiome is comprised of diverse communities of bacterial, eukaryotic, and viral taxa and contributes millions of additional genes to the repertoire of human genes, affecting human metabolism and immune response. Numerous genetic and environmental factors influence the microbiome composition and as such contribute to individual-specific microbial signatures which may be exploited for forensic applications. Previous studies have demonstrated the potential to associate skin microbial profiles collected from touched items to their individual owner, mainly using unsupervised methods from samples collected over short time intervals...
October 18, 2017: Forensic Science International. Genetics
G Valenza, H Wendt, K Kiyono, J Hayano, E Watanabe, Y Yamamoto, P Abry, R Barbieri
Multifractal analysis of cardiovascular variability series is an effective tool for the characterization of pathological states associated with congestive heart failure (CHF). Consequently, variations of heartbeat scaling properties have been associated with the dynamical balancing of nonlinear sympathetic/vagal activity. Nevertheless, whether vagal dynamics has multifractal properties yet alone is currently unknown. In this study, we answer this question by conducting multifractal analysis through wavelet leader-based multiscale representations of instantaneous series of vagal activity as estimated from inhomogeneous point process models...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Sarwat Fatima, Awais M Kamboh
Brain decoding is essential in understanding where and how information is encoded inside the brain. Existing literature has shown that a good classification accuracy is achievable in decoding for single subjects, but multi-subject classification has proven difficult due to the inter-subject variability. In this paper, multi-modal neuroimaging was used to improve two-class multi-subject classification accuracy in a cognitive task of differentiating between a face and a scrambled face. In this transfer learning problem, a feature space based on special-form covariance matrices manipulated with riemannian geometry are used...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Alberto Greco, Simone Messerotti Benvenuti, Claudio Gentili, Daniela Palomba, Gaetano Valenza, Enzo Pasquale Scilingo
Dysphoric patients show symptoms associated with Major Depression, although within a narrowed symptomatology spectrum. In prevailing practice, clinicians assess Dysphoria through psychological scores and questionnaires exclusively, therefore without taking into account objective biomarkers. In this study, we investigated heartbeat linear and nonlinear dynamics aiming to an objective assessment of Dysphoria. To this end, we derived standard and nonlinear measures from heart rate variability (HRV) series gathered from dysphoric (n=14) and nondysphoric (n=17) undergraduate students during 5 minutes of resting state...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Simon L Kappel, Preben Kidmose
Ear-EEG enables recording of EEG in real-life environments in an unprecedented discreet and minimal obtrusive way. As ear-EEG are recorded from electrodes placed in or around the ear, the spatial coverage of the potential field on the scalp is inherently limited. Despite the limited spatial coverage, the potential field in-the-ear can still be measured in multiple points and thereby provide spatial information. We present a method to perform and visualize high-density ear-EEG recordings, and illustrate the method through recordings of auditory and visually evoked steady-state responses, for a single subject...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Juan Mantilla, Laurent Oudre, Remi Barrois, Alienor Vienne, Damien Ricard
In this paper, we present a method for the creation of a library of inertial signals based on Dynamic Time Warping (DTW) for step characterization, with preliminary results in control subjects and patients with neurological diseases. Subjects performed a protocol including a 10 m straight walking, then turn back and walking for additional 10 m. The library is constructed with inertial signals (acceleration and angular velocities recorded in three directions) aligned with the DTW. Templates in the library are obtained for a specific cohort and for the different walking phases of the protocol...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Luca Faes, Giandomenico Nollo, Jana Krohova, Barbora Czippelova, Zuzana Turianikova, Michal Javorka
To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Verena Schuster, Peer Herholz, Kristin M Zimmermann, Stefan Westermann, Stefan Frässle, Andreas Jansen
The development of brain imaging techniques, in particular functional magnetic resonance imaging (fMRI), made it possible to non-invasively study the hemispheric lateralization of cognitive brain functions in large cohorts. Comprehensive models of hemispheric lateralization are, however, still missing and should not only account for the hemispheric specialization of individual brain functions, but also for the interactions among different lateralized cognitive processes (e.g., language and visuospatial processing)...
2017: PloS One
Ali Al-Naji, Javaan Chahl
Most existing non-contact monitoring systems are limited to detecting physiological signs from a single subject at a time. Still, another challenge facing these systems is that they are prone to noise artifacts resulting from motion of subjects, facial expressions, talking, skin tone, and illumination variations. This paper proposes an efficient non-contact system based on a digital camera to track the cardiorespiratory signal from a number of subjects (up to six persons) at the same time with a new method for noise artifact removal...
2017: IEEE Journal of Translational Engineering in Health and Medicine
Holly F B Teagle, Lillian Henderson, Shuman He, Matthew G Ewend, Craig A Buchman
OBJECTIVES: The objectives of this study were to demonstrate the safety of auditory brainstem implant (ABI) surgery and document the subsequent development of auditory and spoken language skills in children without neurofibromatosis type II (NFII). DESIGN: A prospective, single-subject observational study of ABI in children without NFII was undertaken at the University of North Carolina at Chapel Hill. Five children were enrolled under an investigational device exemption sponsored by the investigators...
October 11, 2017: Ear and Hearing
Vincent Gardeux, Joanne Berghout, Ikbel Achour, A Grant Schissler, Qike Li, Colleen Kenost, Jianrong Li, Yuan Shang, Anthony Bosco, Donald Saner, Marilyn J Halonen, Daniel J Jackson, Haiquan Li, Fernando D Martinez, Yves A Lussier
Objective: To introduce a disease prognosis framework enabled by a robust classification scheme derived from patient-specific transcriptomic response to stimulation. Materials and Methods: Within an illustrative case study to predict asthma exacerbation, we designed a stimulation assay that reveals individualized transcriptomic response to human rhinovirus. Gene expression from peripheral blood mononuclear cells was quantified from 23 pediatric asthmatic patients and stimulated in vitro with human rhinovirus...
November 1, 2017: Journal of the American Medical Informatics Association: JAMIA
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"