000890754 001__ 890754 000890754 005__ 20210623133430.0 000890754 0247_ $$2doi$$a10.1371/journal.pone.0247552 000890754 0247_ $$2Handle$$a2128/27255 000890754 0247_ $$2altmetric$$aaltmetric:100792649 000890754 0247_ $$2pmid$$a33626092 000890754 0247_ $$2WOS$$aWOS:000623658100021 000890754 037__ $$aFZJ-2021-01171 000890754 082__ $$a610 000890754 1001_ $$0P:(DE-Juel1)164430$$aDzieciol, Krzysztof$$b0$$ufzj 000890754 245__ $$aA robust method for the detection of small changes in relaxation parameters and free water content in the vicinity of the substantia nigra in Parkinson’s disease patients 000890754 260__ $$aSan Francisco, California, US$$bPLOS$$c2021 000890754 3367_ $$2DRIVER$$aarticle 000890754 3367_ $$2DataCite$$aOutput Types/Journal article 000890754 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1614343969_6270 000890754 3367_ $$2BibTeX$$aARTICLE 000890754 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000890754 3367_ $$00$$2EndNote$$aJournal Article 000890754 520__ $$aAlterations in the substantia nigra are strongly associated with Parkinson’s disease. However, due to low contrast and partial volume effects present in typical MRI images, the substantia nigra is not of sufficient size to obtain a reliable segmentation for region-of-interest based analysis. To combat this problem, the approach proposed here offers a method to investigate and reveal changes in quantitative MRI parameters in the vicinity of substantia nigra without any a priori delineation. This approach uses an alternative method of statistical, voxel-based analysis of quantitative maps and was tested on 18 patients and 15 healthy controls using a well-established, quantitative free water mapping protocol. It was possible to reveal the topology and the location of pathological changes in the substantia nigra and its vicinity. Moreover, a decrease in free water content, T1 and T2* in the vicinity of substantia nigra was indicated in the Parkinson’s disease patients compared to the healthy controls. These findings reflect a disruption of grey matter and iron accumulation, which is known to lead to neurodegeneration. Consequently, the proposed method demonstrates an increased sensitivity for the detection of pathological changes—even in small regions—and can facilitate disease monitoring via quantitative MR parameters. 000890754 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0 000890754 588__ $$aDataset connected to CrossRef 000890754 7001_ $$0P:(DE-Juel1)166343$$aIordanishvili, Elene$$b1 000890754 7001_ $$0P:(DE-Juel1)140186$$aAbbas, Zaheer$$b2$$ufzj 000890754 7001_ $$0P:(DE-HGF)0$$aNahimi, Adjmal$$b3 000890754 7001_ $$0P:(DE-HGF)0$$aWinterdahl, Michael$$b4 000890754 7001_ $$0P:(DE-Juel1)131794$$aShah, N. 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