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Related Concept Videos

Hearing01:31

Hearing

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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Related Experiment Video

Updated: May 30, 2025

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
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Disrupted Cross-Scale Network Associated With Cognitive-Emotional Disorders in Sudden Sensorineural Hearing Loss.

Biao Li1, Xiao-Min Xu2, Yuan-Qing Wu1

  • 1Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

CNS Neuroscience & Therapeutics
|January 27, 2025
PubMed
Summary

Sudden sensorineural hearing loss (SSNHL) alters brain networks, showing increased node switching rates and altered functional connectivity, potentially reallocating cognitive resources. This research offers new insights into SSNHL

Keywords:
cognitive‐emotional disordersdynamic causal modelingmultilayer network analysisstructural covariance networkssudden sensorineural hearing loss

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Systems Biology

Background:

  • Sudden sensorineural hearing loss (SSNHL) is linked to central nervous system changes, with prior research focusing on functional connectivity.
  • Structural connectivity is also vital, yet traditional analyses overlook spatial, temporal, and directional aspects of brain network alterations in SSNHL.

Purpose of the Study:

  • To investigate cross-scale changes in neural network structure and function in SSNHL patients using advanced neuroimaging techniques.
  • To explore the relationship between neural network alterations and accompanying cognitive and emotional disorders in SSNHL.

Main Methods:

  • Utilized Structural Covariance Network (SCN) analysis on MRI data from 70 SSNHL patients and 81 healthy controls (HCs).
  • Employed multilayer network analysis to assess node switching rates and Dynamic Causal Modeling (DCM) to explore functional connectivity.
  • Selected six regions of interest (ROIs) based on significant differences in node switching rates for DCM analysis.

Main Results:

  • No significant differences in global network properties were found between SSNHL patients and HCs via SCN.
  • SSNHL patients exhibited decreased node efficiency in the left precentral gyrus and significantly increased node switching rates in several brain regions, including the L.SFG, L.SMA, L.SPG, R.SPG, R.IPL, and L.THA.
  • Node switching rate in L.SFG correlated negatively with anxiety scores, and altered functional connectivity between L.SPG and L.SMA correlated positively with memory scores.

Conclusions:

  • SSNHL induces structural and functional remodeling of the cerebral cortex, suggesting a reallocation of cognitive resources.
  • Findings provide novel insights into the mechanisms linking cross-scale neural networks to cognitive-emotional disorders in SSNHL patients.