Investigating Neural Dynamics in Tinnitus Using Constrained Independent Component Analysis.

IF 2.5 3区 医学 Q3 NEUROSCIENCES
Brain connectivity Pub Date : 2025-09-01 Epub Date: 2025-08-06 DOI:10.1177/21580014251362839
Sabri Altunkaya, Güzin Özmen, Ercan Babur
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引用次数: 0

Abstract

Background: Tinnitus is a neurological condition characterized by the perception of ringing or other phantom sounds in the absence of external auditory stimuli. It affects an estimated 10%-15% of adults worldwide and can significantly affect sleep and mood. Neuroimaging techniques, particularly functional Magnetic Resonance Imaging (fMRI), have been widely used to investigate the auditory system and brain networks in tinnitus. Resting-state fMRI (rs-fMRI), a noninvasive approach, is particularly effective in examining spontaneous neural activity and functional connectivity (FC) across brain regions. Methods: This study investigated alterations in FC in individuals with chronic, non-bothersome tinnitus due to acoustic trauma using both static FC (sFC) and dynamic FC (dFC) analyses. A constrained independent component analysis was applied to identify five resting-state networks across the 23 regions of interest. Results: sFC analysis revealed increased connectivity between the posterior cingulate cortex (a key region in the default mode network) and left angular gyrus (in the executive control network) in the tinnitus group. The dFC analysis showed that patients with tinnitus spent significantly more time in a weakly connected state, whereas healthy controls predominantly occupied a more segregated and strongly connected state. Conclusion: Findings suggest reduced network differentiation and altered temporal stability in individuals with non-bothersome tinnitus, potentially influenced by hearing loss. These alterations in both static and dynamic FC patterns provide insights into the neural underpinnings of tinnitus and its interaction with large-scale brain networks.

利用约束独立分量分析研究耳鸣的神经动力学。
背景:耳鸣是一种神经系统疾病,其特征是在没有外部听觉刺激的情况下感觉铃声或其他幻音。据估计,全球有10%-15%的成年人受到影响,并会严重影响睡眠和情绪。神经成像技术,特别是功能性磁共振成像(fMRI)已被广泛用于研究耳鸣的听觉系统和大脑网络。静息状态功能磁共振成像(rs-fMRI)是一种无创方法,在检查自发神经活动和大脑区域的功能连接(FC)方面特别有效。方法:本研究采用静态FC (sFC)和动态FC (dFC)两种分析方法,研究慢性非打扰性耳鸣患者的FC变化。一个约束的独立成分分析被应用于确定五个静息状态网络横跨23个感兴趣的区域。结果:sFC分析显示,耳鸣组后扣带皮层(默认模式网络的关键区域)和左角回(执行控制网络)之间的连性增加。dFC分析显示,耳鸣患者在弱连接状态下花费的时间明显更多,而健康对照组则主要处于更隔离和强连接状态。结论:研究结果表明,非恼人耳鸣患者的神经网络分化减少,时间稳定性改变,这可能受到听力损失的影响。这些静态和动态FC模式的改变为耳鸣的神经基础及其与大规模脑网络的相互作用提供了见解。本研究证明了静息状态功能磁共振成像、约束独立分量分析和动态功能连接相结合的价值,以研究非恼人耳鸣的神经基础。通过检查五个主要静息状态网络的静态和时变连接,我们确定了默认模式网络、执行控制网络和显著性网络中的特定变化。我们的研究结果表明,耳鸣会影响听觉系统以外的大脑中涉及注意力、记忆和情感的区域。这些结果为耳鸣大脑网络的时间动态提供了新的见解,并可能有助于指导未来网络层面治疗策略的研究。
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来源期刊
Brain connectivity
Brain connectivity Neuroscience-General Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
80
期刊介绍: Brain Connectivity provides groundbreaking findings in the rapidly advancing field of connectivity research at the systems and network levels. The Journal disseminates information on brain mapping, modeling, novel research techniques, new imaging modalities, preclinical animal studies, and the translation of research discoveries from the laboratory to the clinic. This essential journal fosters the application of basic biological discoveries and contributes to the development of novel diagnostic and therapeutic interventions to recognize and treat a broad range of neurodegenerative and psychiatric disorders such as: Alzheimer’s disease, attention-deficit hyperactivity disorder, posttraumatic stress disorder, epilepsy, traumatic brain injury, stroke, dementia, and depression.
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