Publications by authors named "A Parthasarathy"

Multi-talker speech intelligibility requires successful separation of the target speech from background speech. Successful speech segregation relies on bottom-up neural coding fidelity of sensory information and top-down effortful listening. Here, we studied the interaction between temporal processing measured using Envelope Following Responses (EFRs) to amplitude modulated tones, and pupil-indexed listening effort, as it related to performance on the Quick Speech-in-Noise (QuickSIN) test in normal-hearing adults.

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Current tests of hearing fail to diagnose pathologies in ~10% of patients seeking help for hearing difficulties. Neural ensemble responses to perceptually relevant cues in the amplitude envelope, termed envelope following responses (EFR), hold promise as an objective diagnostic tool to probe these 'hidden' hearing difficulties. But clinical translation is impeded by current measurement approaches involving static amplitude modulated (AM) tones, which are time-consuming and lack optimal spectrotemporal resolution.

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We employed a BONCAT-iTRAQ labelling approach to investigate newly synthesised proteins (NSPs) in subjected to varying concentrations of the antifolate drug pyrimethamine. Our results reveal that numerous NSPs exhibited altered expression levels in response to the drug, with significant upregulation observed at higher concentrations. Key proteins involved in protein synthesis, stress responses, energy metabolism, and cytoskeletal dynamics were identified, indicating that undergoes complex adaptive responses to pyrimethamine treatment.

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Article Synopsis
  • Speech perception declines in middle-aged adults even if their hearing thresholds remain normal, indicating a disconnect between hearing ability and speech understanding.
  • The study found that middle-aged adults have less distinct brain responses (phoneme-related potentials) when processing speech sounds compared to younger adults, suggesting a process called neural dedifferentiation.
  • This age-related change results in less accurate phoneme predictions and a broader, more uncertain neural network involvement, indicating that the brain's ability to differentiate speech sounds becomes less precise as people age.
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  • In multiple myeloma (MM), the study examines how mutations in cancer driver genes, while common, provide limited prognostic information, shifting the focus to pathway dysregulations instead.
  • Researchers analyzed 10 frequently mutated genes to identify meaningful gene signatures, out of which TP53 and LRP1B were found to have a significant impact on patient prognosis, surpassing traditional mutation assessments.
  • The LRP1B signature not only differentiated high-risk patients but also indicated important relationships with drug response and immune environment, suggesting a new direction for improving prognostic strategies in MM.
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