Age-related grey matter changes in preterm infants: An MRI study
Grey matter (GM) maturation has not been previously studied in healthy preterm children. The purpose of this study was to evaluate the age dependency of GM development in 116 GM areas in preterm subjects. Sixty one preterm infants (corrected age: 13.7±9.92 months, gestational age: 33.4±1.9 weeks) wi...
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Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2009-10, Vol.47 (4), p.1148-1153 |
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description | Grey matter (GM) maturation has not been previously studied in healthy preterm children. The purpose of this study was to evaluate the age dependency of GM development in 116 GM areas in preterm subjects. Sixty one preterm infants (corrected age: 13.7±9.92 months, gestational age: 33.4±1.9 weeks) with normal structural appearance on MRI were included in the study. Using a T1-weighted high resolution 3D spoiled gradient echo sequence, volumes of 116 GM areas were calculated after their segmentation using the Voxel Based Morphometry Toolboxes and the Individual Brain Atlas Statistical Parametric Mapping (IBASPM) software packages. Non linear regression analysis assessed age dependency of volume data for every GM area using the monoexponential function y=A−B⁎exp(−x/C). All supratentorial GM areas followed the monoexponential function model reasonably well. Cerebellar structures had a poor goodness of fit. Volume increase of the individual GM areas followed an inferior to superior and a posterior to anterior pattern. The putamen, thalamus, and caudate nucleus reached 99% of the final volume earlier than most cortical GM areas. The visual cortex and the postcentral and precentral cortices matured earlier than the parietal, frontal and temporal cortices. The fronto-occipital asymmetry or torque seen in adults was observed in the preterm infants; the left occipital areas reached maturation earlier than the right, while the right prefrontal and frontal areas matured earlier than the left. To conclude, GM development progresses in a region-specific manner coinciding with functional, phylogenetical and regional white matter (WM) maturation. |
doi_str_mv | 10.1016/j.neuroimage.2009.03.072 |
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The purpose of this study was to evaluate the age dependency of GM development in 116 GM areas in preterm subjects. Sixty one preterm infants (corrected age: 13.7±9.92 months, gestational age: 33.4±1.9 weeks) with normal structural appearance on MRI were included in the study. Using a T1-weighted high resolution 3D spoiled gradient echo sequence, volumes of 116 GM areas were calculated after their segmentation using the Voxel Based Morphometry Toolboxes and the Individual Brain Atlas Statistical Parametric Mapping (IBASPM) software packages. Non linear regression analysis assessed age dependency of volume data for every GM area using the monoexponential function y=A−B⁎exp(−x/C). All supratentorial GM areas followed the monoexponential function model reasonably well. Cerebellar structures had a poor goodness of fit. Volume increase of the individual GM areas followed an inferior to superior and a posterior to anterior pattern. The putamen, thalamus, and caudate nucleus reached 99% of the final volume earlier than most cortical GM areas. The visual cortex and the postcentral and precentral cortices matured earlier than the parietal, frontal and temporal cortices. The fronto-occipital asymmetry or torque seen in adults was observed in the preterm infants; the left occipital areas reached maturation earlier than the right, while the right prefrontal and frontal areas matured earlier than the left. To conclude, GM development progresses in a region-specific manner coinciding with functional, phylogenetical and regional white matter (WM) maturation.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2009.03.072</identifier><identifier>PMID: 19348950</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aging - pathology ; Babies ; Brain ; Brain - cytology ; Female ; Humans ; Imaging, Three-Dimensional - methods ; Infant, Newborn ; Infant, Premature ; Magnetic Resonance Imaging - methods ; Male ; Neurons - cytology ; Premature birth ; Studies</subject><ispartof>NeuroImage (Orlando, Fla.), 2009-10, Vol.47 (4), p.1148-1153</ispartof><rights>2009 Elsevier Inc.</rights><rights>Copyright Elsevier Limited Oct 1, 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-ecbb08cdd021b61df3512bdd44474251347e7fff889c757f2edb278cf40d45df3</citedby><cites>FETCH-LOGICAL-c432t-ecbb08cdd021b61df3512bdd44474251347e7fff889c757f2edb278cf40d45df3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1053811909003334$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19348950$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tzarouchi, L.C.</creatorcontrib><creatorcontrib>Astrakas, L.G.</creatorcontrib><creatorcontrib>Xydis, V.</creatorcontrib><creatorcontrib>Zikou, A.</creatorcontrib><creatorcontrib>Kosta, P.</creatorcontrib><creatorcontrib>Drougia, A.</creatorcontrib><creatorcontrib>Andronikou, S.</creatorcontrib><creatorcontrib>Argyropoulou, M.I.</creatorcontrib><title>Age-related grey matter changes in preterm infants: An MRI study</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Grey matter (GM) maturation has not been previously studied in healthy preterm children. The purpose of this study was to evaluate the age dependency of GM development in 116 GM areas in preterm subjects. Sixty one preterm infants (corrected age: 13.7±9.92 months, gestational age: 33.4±1.9 weeks) with normal structural appearance on MRI were included in the study. Using a T1-weighted high resolution 3D spoiled gradient echo sequence, volumes of 116 GM areas were calculated after their segmentation using the Voxel Based Morphometry Toolboxes and the Individual Brain Atlas Statistical Parametric Mapping (IBASPM) software packages. Non linear regression analysis assessed age dependency of volume data for every GM area using the monoexponential function y=A−B⁎exp(−x/C). All supratentorial GM areas followed the monoexponential function model reasonably well. Cerebellar structures had a poor goodness of fit. Volume increase of the individual GM areas followed an inferior to superior and a posterior to anterior pattern. The putamen, thalamus, and caudate nucleus reached 99% of the final volume earlier than most cortical GM areas. The visual cortex and the postcentral and precentral cortices matured earlier than the parietal, frontal and temporal cortices. The fronto-occipital asymmetry or torque seen in adults was observed in the preterm infants; the left occipital areas reached maturation earlier than the right, while the right prefrontal and frontal areas matured earlier than the left. To conclude, GM development progresses in a region-specific manner coinciding with functional, phylogenetical and regional white matter (WM) maturation.</description><subject>Aging - pathology</subject><subject>Babies</subject><subject>Brain</subject><subject>Brain - cytology</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Infant, Newborn</subject><subject>Infant, Premature</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Neurons - cytology</subject><subject>Premature birth</subject><subject>Studies</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqF0VFL5DAQB_AgJ-qpX0ECB-dT6yRNmtQnVzlPQRFEn0ObTPa6bNs1aYX99mbZBcEH7ylD-E2GzJ8QyiBnwMqLRd7jFIa2q-eYc4AqhyIHxffIEYNKZpVU_MemlkWmGasOyc8YF5AgE_qAHLKqELqScESuZnPMAi7rER2dB1zTrh5HDNT-q_s5Rtr2dBUw3XSp9HU_xks66-nj8z2N4-TWJ2Tf18uIp7vzmLze_nm5ucsenv7e38weMisKPmZomwa0dQ44a0rmfCEZb5wTQijBJSuEQuW917qySirP0TVcaesFOCETPybn23dXYXibMI6ma6PF5bLucZiiUaIEpbjUSf7-VpZKCi60TPDXF7gYptCnXxgmodQApWJJ6a2yYYgxoDerkBYf1oaB2aRhFuYzDbNJw0BhUhqp9Ww3YGo6dJ-Nu_UncL0FmDb33mIw0bbYW3RtQDsaN7T_n_IB_eae6g</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Tzarouchi, L.C.</creator><creator>Astrakas, L.G.</creator><creator>Xydis, V.</creator><creator>Zikou, A.</creator><creator>Kosta, P.</creator><creator>Drougia, A.</creator><creator>Andronikou, S.</creator><creator>Argyropoulou, M.I.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>7QO</scope></search><sort><creationdate>20091001</creationdate><title>Age-related grey matter changes in preterm infants: An MRI study</title><author>Tzarouchi, L.C. ; 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The purpose of this study was to evaluate the age dependency of GM development in 116 GM areas in preterm subjects. Sixty one preterm infants (corrected age: 13.7±9.92 months, gestational age: 33.4±1.9 weeks) with normal structural appearance on MRI were included in the study. Using a T1-weighted high resolution 3D spoiled gradient echo sequence, volumes of 116 GM areas were calculated after their segmentation using the Voxel Based Morphometry Toolboxes and the Individual Brain Atlas Statistical Parametric Mapping (IBASPM) software packages. Non linear regression analysis assessed age dependency of volume data for every GM area using the monoexponential function y=A−B⁎exp(−x/C). All supratentorial GM areas followed the monoexponential function model reasonably well. Cerebellar structures had a poor goodness of fit. Volume increase of the individual GM areas followed an inferior to superior and a posterior to anterior pattern. The putamen, thalamus, and caudate nucleus reached 99% of the final volume earlier than most cortical GM areas. The visual cortex and the postcentral and precentral cortices matured earlier than the parietal, frontal and temporal cortices. The fronto-occipital asymmetry or torque seen in adults was observed in the preterm infants; the left occipital areas reached maturation earlier than the right, while the right prefrontal and frontal areas matured earlier than the left. To conclude, GM development progresses in a region-specific manner coinciding with functional, phylogenetical and regional white matter (WM) maturation.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>19348950</pmid><doi>10.1016/j.neuroimage.2009.03.072</doi><tpages>6</tpages></addata></record> |
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subjects | Aging - pathology Babies Brain Brain - cytology Female Humans Imaging, Three-Dimensional - methods Infant, Newborn Infant, Premature Magnetic Resonance Imaging - methods Male Neurons - cytology Premature birth Studies |
title | Age-related grey matter changes in preterm infants: An MRI study |
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