{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T20:34:01Z","timestamp":1759178041341,"version":"3.44.0"},"reference-count":42,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T00:00:00Z","timestamp":1738886400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Periventricular white matter injury (PWMI) is a high\u2010risk factor for spastic cerebral palsy (SCP).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To investigate the geometric microstructural changes in WM in infants with PWMI\u2010SCP using MRI which may facilitate early identification.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective cohort study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Twenty\u2010three healthy infants (aged 6.53\u201336\u2009months), 25 infants with PWMI\u2010SCP (aged 6\u201333\u2009months), and 32 infants with PWMI\u2010nonSCP (aged 6\u201336\u2009months).<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3.0\u2009T, T1\u2010weighted three\u2010dimensional gradient\u2010echo sequence, and diffusion tensor imaging (DTI) with a single\u2010shot gradient echo planar sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>The brain was automatically segmented, parcellated into major regions of interest according to the Desikan\u2013Killiany atlas and volumes extracted. Fractional anisotropy (FA) and mean diffusivity (MD) of regions were extracted from DTI data. Director field analysis (DFA) was used to assess the geometric microstructural properties of WM. Motor dysfunction was graded from l (mild) to 5 (severe) according to the Gross Motor Function Classification System.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Tests included analysis of variance, correlation analysis, mediation analysis, and receiver operating characteristic analysis. Corrected <jats:italic>P<\/jats:italic>\u2010values &lt;0.05 were considered significant. Mediation analysis examined whether DFA metrics mediated the relationship between brain morphological and motor dysfunction. Models were constructed to identify PWMI\u2010SCP.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The PWMI\u2010SCP group exhibited significantly elevated all four DFA metrics (splay, bend, twist, and distortion), primarily in the corpus callosum, posterior thalamic radiata, and corona radiata, compared to the PWMI\u2010nonSCP group, and was associated with enlarged lateral ventricles, reduced deep nuclear volumes and motor dysfunction. Mediation analysis indicated that increased splay in the corpus callosum partially mediates (mediating effect ratio: 29.74%, 22.46%) the relationship between the lateral ventricles and motor function. The results showed that DFA achieved a higher area under the curve (AUC) than the FA\u2009+\u2009MD, especially in distinguishing PWMI\u2010nonSCP from PWMI\u2010SCP (AUC\u2009=\u20090.93).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>Monitoring fiber\u2010orientational alterations may provide new insights into early identification of PWMI\u2010SCP.<\/jats:p><\/jats:sec><jats:sec><jats:title>Plain Language Summary<\/jats:title><jats:p>This study utilized directional field analysis (DFA) to systematically examine white matter microstructural changes in three groups: periventricular white matter injury with spastic cerebral palsy (PWMI\u2010SCP), periventricular white matter injury without spastic cerebral palsy (PWMI\u2010nonSCP), and healthy controls. The results revealed significantly abnormal increases in the white matter geometric structure within the sensorimotor circuit in the PWMI\u2010SCP group. DFA metrics achieved an AUC of 0.93 in distinguishing PWMI\u2010SCP from PWMI\u2010nonSCP. These specific microstructural changes provide critical insights for the early identification of PWMI\u2010SCP.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>3<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29730","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T04:44:16Z","timestamp":1738903456000},"page":"403-414","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["<scp>MRI<\/scp> Assessment of Geometric Microstructural Changes of White Matter in Infants With Periventricular White Matter Injury and Spastic Cerebral Palsy"],"prefix":"10.1002","volume":"62","author":[{"given":"Miaoyan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Radiology Affiliated Children's Hospital of Jiangnan University  Wuxi China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Zhu","sequence":"additional","affiliation":[{"name":"Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering Beihang University  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Henan University of Chinese Medicine  Zhengzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingjing","family":"Qiao","sequence":"additional","affiliation":[{"name":"Department of Radiology Affiliated Children's Hospital of Jiangnan University  Wuxi China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6360-6574","authenticated-orcid":false,"given":"Bo","family":"Peng","sequence":"additional","affiliation":[{"name":"Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences  Suzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ni","family":"Shu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Neuroscience and Learning &amp; 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