지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 195 - 204 (10page)
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초록· 키워드
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Purpose: To quantify the relative importance of brain regions responsible for reduced functional connectivity (FC) in their Voiding Initiation Network in female multiple sclerosis (MS) patients with neurogenic lower urinary tract dysfunction (NLUTD) and voiding dysfunction (VD). A data-driven machine-learning approach is utilized for quantification. Methods: Twenty-seven ambulatory female patients with MS and NLUTD (group 1: voiders, n=15 and group 2: VD, n=12) participated in a functional magnetic resonance imaging (fMRI) voiding study. Brain activity was recorded by fMRI with simultaneous urodynamic testing. The Voiding Initiation Network was identified from averaged fMRI activation maps. Four machine-learning algorithms were employed to optimize the area under curve (AUC) of the receiver-operating characteristic curve. The optimal model was used to identify the relative importance of relevant brain regions. Results: The Voiding Initiation Network exhibited stronger FC for voiders in frontal regions and stronger disassociation in cerebellar regions. Highest AUC values were obtained with ‘random forests’ (0.86) and ‘partial least squares’ algorithms (0.89). While brain regions with highest relative importance (>75%) included superior, middle, inferior frontal and cingulate regions, relative importance was larger than 60% for 186 of the 227 brain regions of the Voiding Initiation Network, indicating a global effect. Conclusions: Voiders and VD patients showed distinctly different FC in their Voiding Initiation Network. Machine-learning is able to identify brain centers contributing to these observed differences. Knowledge of these centers and their connectivity may allow phenotyping patients to centrally focused treatments such as cortical modulation.
목차
등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
Corcos J / 2013 / A urological challenge: voiding dysfunction in multiple sclerosis / Can Urol Assoc J 7(9-10 Suppl 4):S181~182
Wintner A / 2016 / Voiding dysfunction in multiple sclerosis / Semin Neurol 36:34~40
Stöhrer M / 2009 / EAU guidelines on neurogenic lower urinary tract dysfunction / Eur Urol 56:81~88
Kim YH / 1998 / The correlation of urodynamic findings with cranial magnetic resonance imaging findings in multiple sclerosis / J Urol 159:972~976
Khavari R / 2019 / Higher neural correlates in patients with multiple sclerosis and neurogenic overactive bladder following treatment with intradetrusor injection of onabotulinumtoxinA / J Urol 201:135~140
Wintner A / 2016 / Voiding dysfunction in multiple sclerosis / Semin Neurol 36:34~40
Stöhrer M / 2009 / EAU guidelines on neurogenic lower urinary tract dysfunction / Eur Urol 56:81~88
Kim YH / 1998 / The correlation of urodynamic findings with cranial magnetic resonance imaging findings in multiple sclerosis / J Urol 159:972~976
Khavari R / 2019 / Higher neural correlates in patients with multiple sclerosis and neurogenic overactive bladder following treatment with intradetrusor injection of onabotulinumtoxinA / J Urol 201:135~140
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