{"title":"LD-205: Development and Technical Validation of a Laryngeal Dystonia-Oriented Whole-Brain ROI Atlas for Functional MRI Analysis.","authors":"Yuanjia Hu, Fangfang Xu, Lu Xing, Yujie Feng, Kaiyi Rong, Jia Song, Sennian Zheng, Shuyi Zeng, Yingshan Tan, Qiutong Chen, Peiyun Zhuang","doi":"10.1016/j.jvoice.2026.09.032","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Laryngeal dystonia (LD) is a voice motor disorder involving multilevel central networks. Existing LD functional magnetic resonance imaging (fMRI) studies use heterogeneous region-of-interest (ROI) definitions and parcellation schemes, limiting comparability and reproducibility. To provide a more consistent framework for ROI definition and whole-brain network-level analysis, we aimed to develop and technically validate a standardized, small-structure-preserving whole-brain ROI atlas for LD fMRI research.</p><p><strong>Methods: </strong>We integrated Automated Anatomical Labeling version 1 (AAL1)-derived cerebral and selected subcortical regions, the Spatially Unbiased Infratentorial Template (SUIT) cerebellar atlas, the Najdenovska thalamic nuclei atlas, and Brainstem Navigator-derived diencephalic and brainstem regions. Atlases were harmonized to Montreal Neurological Institute (MNI) space with nearest-neighbor interpolation and small-structure-prioritized merging, generating a 1-mm reference atlas (LD-208) and a 2-mm fMRI-ready atlas (LD-205). Quality control included ROI continuity, zero-voxel checks, voxel counts, connected components, and source tracing. LD-205 was tested in resting-state fMRI data from 10 healthy participants.</p><p><strong>Results: </strong>LD-208 and LD-205 contained 208 and 205 ROIs, respectively. Compared with LD-208, LD-205 did not retain three extremely small brainstem ROIs on the 2-mm grid. Both atlases had continuous ROI numbering and no zero-voxel ROIs. All LD-205 ROIs yielded valid voxels, mean blood oxygen level-dependent (BOLD) time series, and complete 205 × 205 connectivity matrices in every participant.</p><p><strong>Conclusions: </strong>LD-208 and LD-205 provide traceable and quality-controlled whole-brain ROI frameworks for LD-oriented fMRI research. The technical validation demonstrates the feasibility of applying LD-205 to conventional resting-state fMRI data and supports its use as a standardized ROI framework for future disease-specific studies.</p>","PeriodicalId":49954,"journal":{"name":"Journal of Voice","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Voice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jvoice.2026.09.032","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Laryngeal dystonia (LD) is a voice motor disorder involving multilevel central networks. Existing LD functional magnetic resonance imaging (fMRI) studies use heterogeneous region-of-interest (ROI) definitions and parcellation schemes, limiting comparability and reproducibility. To provide a more consistent framework for ROI definition and whole-brain network-level analysis, we aimed to develop and technically validate a standardized, small-structure-preserving whole-brain ROI atlas for LD fMRI research.
Methods: We integrated Automated Anatomical Labeling version 1 (AAL1)-derived cerebral and selected subcortical regions, the Spatially Unbiased Infratentorial Template (SUIT) cerebellar atlas, the Najdenovska thalamic nuclei atlas, and Brainstem Navigator-derived diencephalic and brainstem regions. Atlases were harmonized to Montreal Neurological Institute (MNI) space with nearest-neighbor interpolation and small-structure-prioritized merging, generating a 1-mm reference atlas (LD-208) and a 2-mm fMRI-ready atlas (LD-205). Quality control included ROI continuity, zero-voxel checks, voxel counts, connected components, and source tracing. LD-205 was tested in resting-state fMRI data from 10 healthy participants.
Results: LD-208 and LD-205 contained 208 and 205 ROIs, respectively. Compared with LD-208, LD-205 did not retain three extremely small brainstem ROIs on the 2-mm grid. Both atlases had continuous ROI numbering and no zero-voxel ROIs. All LD-205 ROIs yielded valid voxels, mean blood oxygen level-dependent (BOLD) time series, and complete 205 × 205 connectivity matrices in every participant.
Conclusions: LD-208 and LD-205 provide traceable and quality-controlled whole-brain ROI frameworks for LD-oriented fMRI research. The technical validation demonstrates the feasibility of applying LD-205 to conventional resting-state fMRI data and supports its use as a standardized ROI framework for future disease-specific studies.
期刊介绍：
The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
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