An error in interpreting the statistical analysis output led to reporting errors in some of the effect sizes for the three-way repeated-measures ANOVAs in Experiment 1.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445209 | PMC |
| http://dx.doi.org/10.1007/s10162-020-00760-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Estimating Palatal and Pharyngeal Muscle Contraction in Hindi Syllable Pronunciation using Computational Modeling.
Indian J Plast Surg
December 2024
Department of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Speech, one of the main functions affected by cleft palate, involves a complex orchestra of sound deformation by various organs including the larynx, pharynx, epiglottis, palate, tongue, lip, and other structures complementing them. Although the effects of palatoplasty are traditionally evaluated subjectively, objective parameters have seldom been described to compare the pre- and postrepair functions. The study tries to extract the palatal and pharyngeal muscles while uttering various Hindi syllables and tries to find the percentage contraction of these structures as an objective assessment.
View Article and Find Full Text PDFExploring awareness of hearing loss and ear health in Jordanian adults.
PLoS One
December 2024
Faculty of Allied Medical Sciences, Department of Audiology and Speech Pathology, Al-Ahliyya Amman University, Amman, Jordan.
Objective: To assess the awareness about hearing loss and ear health among adults in Jordan.
Methods: A cross-sectional study was conducted where a questionnaire was filled from the month of November to the month of December of the year 2023, to assess the level of awareness about hearing loss and ear health. The participants included were Jordanian adults (age ≥ 18 years) residing in the North, Middle and South of Jordan.
Investigating the cognitive architecture of verbal fluency: evidence from an interference design on 487 controls.
Front Psychol
December 2024
Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne University of Picardie, Amiens, France.
Introduction: Numerous studies have explored the linguistic and executive processes underlying verbal fluency using association designs, which provide limited evidence. To assess the validity of our model, we aimed to refine the cognitive architecture of verbal fluency using an interference design.
Methods: A total of 487 healthy participants performed letter and semantic fluency tests under the single condition and dual conditions while concurrently performing a secondary task that interferes with speed, semantics, phonology, or flexibility.
Cognitive Control Network and Language Reorganization in Patients with Brain Tumors.
AJNR Am J Neuroradiol
December 2024
From the Department of Radiology, (Luca Pasquini), Yale New Haven Hospital, Yale Medical School, New Haven, CT, USA; Department of Radiology (Luca Pasquini, Mehrnaz Jenabi, Andrei I. Holodny), Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medical Physics (Antonio Napolitano, Leonardo Spitoni), Bambino Gesù Children's Hospital, Rome, Italy; Department of Engineering (Maurizio Schmid), University Roma Tre, Rome, Italy; Department of Radiology (Francesco Dellepiane) Bambino Gesù Children's Hospital, Rome, Italy; Department of Medical Physics (Kyung K. Peck), Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Radiology (Andrei I. Holodny), Weill Medical College of Cornell University, New York, NY, USA; Department of Neuroscience (Andrei I. Holodny), Weill Cornell Graduate School of the Medical Sciences, New York, NY, USA.
Background And Purpose: The interaction between language and other cognitive networks in patients harboring brain tumors is poorly understood. We studied the modification of the cognitive control network (CCN) induced by brain tumors and its participation in language reorganization. We hypothesized that patients with brain tumors and reorganized language would show modification of the CCN compared to patients who remain left dominant.
View Article and Find Full Text PDFFeasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
Nurs Rep
December 2024
Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.
Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mortality associated with mental illness, there is an urgent need to identify callers to helplines who have a high level of distress and need to be seen by a clinician who can offer interventions for treatment.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!