Objective: To improve the diagnostic efficiency of current tests for auditory processing disorders (APDs) by creating new test signals using digital filtering methods.
Methods: We conducted a prospective study from August 1, 2014, to August 31, 2019, using 3 low speech redundancy tests with novel test signals that we created with specially designed digital filters: the binaural resynthesis test and the low pass and high pass filtered speech tests. We validated and optimized these new tests, then applied them to healthy individuals across different age groups to examine how age affected performance and to children with APD before and after acoustically controlled auditory training (ACAT) to assess clinical improvement after treatment.
Results: We found a progressive increase in performance accuracy with less restrictive filters (<.001) and with increasing age for all tests (<.001). Our results suggest that binaural resynthesis and auditory closure mature at similar rates. We also demonstrate that the new tests can be used for the diagnosis of APD and for the monitoring of ACAT effects. Interestingly, we found that patients having the most severe deficits also benefited the most from ACAT (<.001).
Conclusion: We introduce a method that substantially improves current diagnostic tools for APD. In addition, we provide information on auditory processing maturation in normal development and validate that our method can detect APD-related deficits and ACAT-induced improvements in auditory processing.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105531 | PMC |
| http://dx.doi.org/10.1016/j.mayocpiqo.2020.09.007 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effect of Medial Olivocochlear Efferents on Speech Discrimination in Noise in Multiple Sclerosis.
Noise Health
January 2025
Department of Neurology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.
Background: Patients with multiple sclerosis (MS) experience difficulties in understanding speech in noise despite having normal hearing.
Aim: This study aimed to determine the relationship between speech discrimination in noise (SDN) and medial olivocochlear reflex levels and to compare MS patients with a control group.
Material And Methods: Sixty participants with normal hearing, comprising 30 MS patients and 30 healthy controls, were included.
NXP800 activates the unfolded protein response, altering AR and E2F function to impact castration-resistant prostate cancer growth.
Clin Cancer Res
January 2025
Institute of Cancer Research, Sutton, Surrey, United Kingdom.
Purpose: Advanced prostate cancer (PCa) is invariably fatal with the androgen receptor (AR) being a major therapeutic target. AR signaling inhibitors have improved overall survival for men with advanced PCa, but treatment resistance is inevitable and includes reactivation of AR signaling. Novel therapeutic approaches targeting these mechanisms to block tumor growth is an urgent unmet clinical need.
View Article and Find Full Text PDFLighting Up Dual-Aptamer-Based DNA Logic-Gated Series Lamp Probes with Specific Membrane Proteins for Sensitive and Accurate Cancer Cell Identification.
Anal Chem
January 2025
Key Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, Cixi Biomedical Research Institute, School of Laboratory Medicine and Life sciences, Wenzhou Medical University, Wenzhou 325035, China.
Accurate identification of cancer cells under complex physiological environments holds great promise for noninvasive diagnosis and personalized medicine. Herein, we developed dual-aptamer-based DNA logic-gated series lamp probes (Apt-SLP) by coupling a DNA cell-classifier (DCC) with a self-powered signal-amplifier (SSA), enabling rapid and sensitive identification of cancer cells in a blood sample. DCC is endowed with two extended-aptamer based modules for recognizing the two cascade cell membrane receptors and serves as a DNA logic gate to pinpoint a particular and narrow subpopulation of cells from a larger population of similar cells.
View Article and Find Full Text PDFLeveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.
Drug Saf
January 2025
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Background: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence of their real-world effectiveness remains unclear.
Objective: To summarise the evidence on the effectiveness of NLP/ML in detecting ADEs from unstructured EHR data and ultimately improve pharmacovigilance in comparison to other data sources.
Genomic profiling reveals SMARCA4 mutations are associated with shorter overall and intracranial progression free survival in melanoma brain metastasis patients.
Clin Cancer Res
December 2024
Dana-Farber Cancer Institute, Boston, MA, United States.
Purpose: Melanoma brain metastases (MBMs) are a common, lethal complication of metastatic melanoma. Despite improvements in treatments, subsets of MBM patients experience rapid decline, and few prognostic biomarkers have been identified. An improved understanding of the molecular features specifically associated with MBM overall survival (OS) and intracranial progression free survival (PFS) could facilitate the development of more effective clinical management strategies.
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!