The striatal compartments, striosome and matrix, are embedded in largely distinct resting-state functional networks.

IF 3 3区 医学 Q2 NEUROSCIENCES
Frontiers in Neural Circuits Pub Date : 2025-05-16 eCollection Date: 2025-01-01 DOI:10.3389/fncir.2025.1514937
Alishba Sadiq, Adrian T Funk, Jeff L Waugh
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引用次数: 0

Abstract

The striatum is divided into two interdigitated tissue compartments, the striosome and matrix. These compartments exhibit distinct anatomical, neurochemical, and pharmacological characteristics and have separable roles in motor and mood functions. Little is known about the functions of these compartments in humans. While compartment-specific roles in neuropsychiatric diseases have been hypothesized, they have yet to be directly tested. Investigating compartment-specific functions is crucial for understanding the symptoms produced by striatal injury, and to elucidating the roles of each compartment in healthy human skills and behaviors. We mapped the functional networks of striosome-like and matrix-like voxels in humans in-vivo. We utilized a diverse cohort of 674 healthy adults, derived from the Human Connectome Project, including all subjects with complete diffusion and functional MRI data and excluding subjects with substance use disorders. We identified striatal voxels with striosome-like and matrix-like structural connectivity using probabilistic diffusion tractography. We then investigated resting-state functional connectivity (rsFC) using these compartment-like voxels as seeds. We found widespread differences in rsFC between striosome-like and matrix-like seeds (p < 0.05, family wise error corrected for multiple comparisons), suggesting that striosome and matrix occupy distinct functional networks. Slightly shifting seed voxel locations (<4 mm) eliminated these rsFC differences, underscoring the anatomic precision of these networks. Striosome-seeded networks exhibited ipsilateral dominance; matrix-seeded networks had contralateral dominance. Next, we assessed compartment-specific engagement with the triple-network model (default mode, salience, and frontoparietal networks). Striosome-like voxels dominated rsFC with the default mode network bilaterally. The anterior insula (a primary node in the salience network) had higher rsFC with striosome-like voxels. The inferior and middle frontal cortices (primary nodes, frontoparietal network) had stronger rsFC with matrix-like voxels on the left, and striosome-like voxels on the right. Since striosome-like and matrix-like voxels occupy highly segregated rsFC networks, striosome-selective injury may produce different motor, cognitive, and behavioral symptoms than matrix-selective injury. Moreover, compartment-specific rsFC abnormalities may be identifiable before disease-related structural injuries are evident. Localizing rsFC differences provides an anatomic substrate for understanding how the tissue-level organization of the striatum underpins complex brain networks, and how compartment-specific injury may contribute to the symptoms of specific neuropsychiatric disorders.

纹状体室室,纹状体和基质,嵌入在很大程度上不同的静息状态功能网络。
纹状体分为两个交错的组织室,纹状体和基质。这些隔室具有独特的解剖、神经化学和药理学特征,在运动和情绪功能中具有可分离的作用。人们对这些隔室在人体中的功能知之甚少。虽然在神经精神疾病中已经假设了室特异性作用,但它们尚未得到直接测试。研究室特异性功能对于理解纹状体损伤产生的症状以及阐明每个室在健康人类技能和行为中的作用至关重要。我们绘制了人类体内纹状体样体和基质样体素的功能网络。我们使用了来自人类连接组项目的674名健康成年人的不同队列,包括所有具有完整扩散和功能性MRI数据的受试者,排除了有物质使用障碍的受试者。我们鉴定纹状体体与纹状体样和基质样结构连接使用概率扩散束状图。然后,我们使用这些隔间样体素作为种子来研究静息状态功能连接(rsFC)。我们发现,在纹状体样种子和基质样种子之间,rsFC存在广泛的差异(p < 0.05,对多次比较进行了家族误差校正),这表明纹状体和基质具有不同的功能网络。轻微移动种子体素位置(
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来源期刊
CiteScore
6.00
自引率
5.70%
发文量
135
审稿时长
4-8 weeks
期刊介绍: Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.
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