Alterations of resting‐state functional network connectivity in patients with noise‐induced hearing loss: A study based on independent component analysis

• Published in: The European journal of neuroscience Vol. 59; no. 8; pp. 2029 - 2045
• Main Authors: Ranran, Huang, Aijie, Wang, Yafei, Zhang, Xinru, Ba, Yi, Lin, Xianghua, Bao, Yunxin, Li, Guochao, Li, Guowei, Zhang
• Format: Journal Article
• Language: English
• Published: France Wiley Subscription Services, Inc 01.04.2024
• Subjects: Brain - diagnostic imaging; Brain Mapping; Correlation analysis; Executive function; Functional magnetic resonance imaging; functional network connectivity; Hearing loss; Hearing Loss, Noise-Induced - diagnostic imaging; Hearing protection; Humans; independent component analysis; Magnetic Resonance Imaging; Neural networks; Neuroimaging; Noise; noise exposure time, magnetic resonance imaging; noise‐induced hearing loss (NIHL); resting‐state network; Tinnitus; Tinnitus - diagnostic imaging; resting‐state network; independent component analysis; noise exposure time, magnetic resonance imaging; noise‐induced hearing loss (NIHL); functional network connectivity
• ISSN: 0953-816X; 1460-9568
• DOI: 10.1111/ejn.16266

Functional reorganization is a response to auditory deficits or deprivation, and less is known about the overall brain network alterations involving resting‐state networks (RSNs) and multiple functional networks in patients with occupational noise‐induced hearing loss (NIHL). So this study evaluated resting‐state functional network connectivity (FNC) alterations in occupational NIHL using an independent component analysis (ICA). In total, 79 mild NIHL patients (MP), 32 relatively severe NIHL patients (RSP), and 84 age‐ and education‐ matched healthy controls (HC) were recruited. All subjects were tested using the Mini‐mental State Examination scale, the tinnitus Handicap Inventory scale, the Hamilton Anxiety scale (HAMA) and scanned by T1‐3DFSPGR, resting‐state functional magnetic resonance imaging sequence in 3.0 T and analysed by the ICA. Seven RSNs were identified, compared with the HC, the MP showed increased FNC within the executive control network (ECN) and enhanced FNC within the default mode network (DMN) and the visual network (VN); compared with the HC, the RSP showed decreased FNC within the ECN and auditory network (AUN), DMN and VN; no significant changes in FNC were found in the MP compared with the RSP. Furthermore, the correlation analysis between the noise exposure time and hearing loss level, HAMA were both negative, and there were no significant correlations between the abnormal RSNs and the hearing level, noise exposure time and HAMA. These findings indicate that different degrees of NIHL involve different alterations in RSNs connectivity and may reveal the neural mechanisms related to emotion‐related features and functional abnormalities following long‐term NIHL. We investigate alterations of resting‐state functional network connectivity (FNC) in patients with noise‐induced hearing loss, using an independent component analysis (ICA). This study indicates that different degrees of NIHL involve different alterations in RSN connectivity and provides important insights into the pathophysiology of brain injury in NIHL.