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	<title>neuroimaging study of white matter diffusion in late preterm children &#8211; Science</title>
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	<title>neuroimaging study of white matter diffusion in late preterm children &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Late Preterm Birth Leaves Subtle Traces in the Adolescent Brain, Landmark Imaging Study Finds</title>
		<link>https://scienmag.com/late-preterm-birth-leaves-subtle-traces-in-the-adolescent-brain-landmark-imaging-study-finds/</link>
		
		<dc:creator><![CDATA[Cassandra Pierce]]></dc:creator>
		<pubDate>Fri, 16 Oct 2026 18:34:24 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[ABCD study]]></category>
		<category><![CDATA[ABCD Study insights into preterm birth brain changes]]></category>
		<category><![CDATA[brain development]]></category>
		<category><![CDATA[brain region differences in late preterm adolescents]]></category>
		<category><![CDATA[child development]]></category>
		<category><![CDATA[developmental implications of late preterm delivery]]></category>
		<category><![CDATA[diffusion tensor imaging]]></category>
		<category><![CDATA[fractional anisotropy]]></category>
		<category><![CDATA[Frontiers in Pediatrics]]></category>
		<category><![CDATA[impact of 34-36 weeks gestation on adolescent cognition]]></category>
		<category><![CDATA[late preterm birth]]></category>
		<category><![CDATA[Late preterm birth effects on adolescent brain development]]></category>
		<category><![CDATA[long-term neurodevelopmental outcomes of late preterm birth]]></category>
		<category><![CDATA[mean diffusivity]]></category>
		<category><![CDATA[neuroimaging]]></category>
		<category><![CDATA[neuroimaging markers of subtle brain alterations due to preterm birth]]></category>
		<category><![CDATA[neuroimaging study of white matter diffusion in late preterm children]]></category>
		<category><![CDATA[pediatric neuroscience]]></category>
		<category><![CDATA[subtle brain structural differences in late preterm infants]]></category>
		<category><![CDATA[University of Fukui]]></category>
		<category><![CDATA[white matter]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=288306</guid>

					<description><![CDATA[A large ABCD Study analysis found that children born late preterm show subtle regional brain-volume and white matter diffusion differences during early adolescence despite no broad behavioral or cognitive deficits.]]></description>
										<content:encoded><![CDATA[<p>Being born just a few weeks early may leave fingerprints on the developing brain that are too subtle to see in everyday behavior, according to one of the largest neuroimaging investigations of late preterm birth ever conducted. Drawing on data from more than ten thousand children in the United States-based Adolescent Brain Cognitive Development (ABCD) Study, a research team led by Specially Appointed Professor Akemi Tomoda of the Research Center for Child Mental Development at the University of Fukui, Japan, found that children born between 34 and 36 weeks of gestation showed measurable differences in specific brain regions and in the diffusion properties of their white matter, even though broad behavioral, emotional, and cognitive outcomes looked remarkably similar to those of full-term peers. The findings were published on July 20, 2026, in Volume 14 of the journal Frontiers in Pediatrics.</p>
<p>Late preterm birth occupies an unusual position in developmental medicine. It is common, accounting for a substantial share of all preterm deliveries, yet it falls into a gray zone: too early to be fully term, too late to attract the intensive monitoring given to very premature infants. What makes the window biologically consequential is timing. Delivery at 34 to 36 weeks coincides with a period of extraordinarily rapid brain construction, when white matter expands substantially and the cerebral cortex is still busy with synapse formation, dendritic growth, cortical folding, and expansion of the brain&#8217;s surface. Previous studies of children born in this window have produced mixed findings, with some reporting developmental vulnerabilities and others finding few lasting effects, leaving clinicians without a clear picture of what, if anything, late preterm birth does to the long-term trajectory of brain maturation.</p>
<p>To resolve that uncertainty at scale, the Fukui team, which also included doctoral student Ryoko Yoshinare, Assistant Professor Masatoshi Yamashita, and Professor Yoshifumi Mizuno, turned to the ABCD Study, the largest long-term study of brain development and child health in the United States. The researchers compared 1,093 children born late preterm with 8,984 children born at full term, all between the ages of 9 and 11 years at the study&#8217;s baseline. Rather than relying on a single snapshot, they exploited the longitudinal design of the ABCD Study, examining the same children across two timepoints separated by roughly two years. Their battery of measures was unusually comprehensive: standardized assessments of behavioral and emotional problems, tests of cognitive function, structural magnetic resonance imaging (MRI) to map regional brain volumes and cortical dimensions, diffusion tensor imaging (DTI) to probe the microstructural integrity of white matter, and resting-state functional MRI to chart how brain networks communicate.</p>
<p>The first surprise was what the team did not find. Across the behavioral and emotional measures, most cognitive outcomes, cortical thickness, cortical surface area, and resting-state functional connectivity, the late preterm and full-term groups were statistically indistinguishable. There were no broad differences that survived correction for multiple comparisons, and no significant timepoint or group-by-timepoint effects in these domains. For parents and clinicians, that absence is itself meaningful: on the measures that most directly touch daily life, children born a few weeks early did not differ from their full-term classmates in any sweeping way.</p>
<p>Structural MRI told a more nuanced story. The analysis identified significant group differences in the volumes of six specific regions: the left postcentral gyrus, which processes bodily sensation; the right fusiform gyrus, involved in recognizing faces and objects; the right middle temporal region, important for motion and language processing; the right pars orbitalis, part of the language-producing inferior frontal cortex; the right supramarginal gyrus, which supports language and spatial attention; and the right insula, a hub for interoception and emotional awareness. Notably, however, these volumetric differences showed no significant change over time and no group-by-timepoint interaction after false discovery rate correction, suggesting they were stable features of the baseline scan rather than diverging developmental trajectories.</p>
<p>The clearest and most dynamic differences emerged from DTI, a technique that tracks the diffusion of water molecules through brain tissue to reveal the organization of its microscopic architecture. Two derived measures carry most of the signal: fractional anisotropy (FA), which is higher when water diffuses preferentially along organized axonal pathways, and mean diffusivity (MD), which reflects the overall freedom of water movement and is influenced by tissue properties such as myelination, axonal density, and cellularity. The researchers found group effects in selected white matter tracts, cortical regions, and subcortical structures for both FA and MD. Among the tracts, the inferior longitudinal fasciculus, a major pathway connecting occipital visual areas with temporal regions involved in memory and language, showed group effects for both FA and MD, although in different hemispheres. More strikingly, the longitudinal analysis detected group-by-timepoint interactions across several white matter tracts and selected cortical and subcortical regions, indicating that the two groups were not simply different at one moment but were maturing along measurably different microstructural courses.</p>
<p>The direction of those interactions was telling. The analyses suggested that many of them reflected decreases in DTI measures among full-term children over the two-year interval, while the late preterm group showed changes that were smaller, statistically nonsignificant, or less consistent. In other words, some aspects of microstructural development that typically shift during early adolescence appeared to unfold differently in children born late preterm, not as a dramatic deviation but as a dampening or reordering of the usual developmental rhythm. Because FA and MD are influenced by multiple tissue properties simultaneously, the authors are careful to note that the results do not establish a specific mechanism such as altered myelination or axonal organization; they identify where and when development differs, not precisely how.</p>
<p>Professor Tomoda framed the findings with deliberate caution. “These findings suggest that the effects of LP birth may be subtle and may not necessarily appear as broad behavioral or cognitive difficulties,” she said. “Instead, brain imaging may reveal regional differences in maturation that are not immediately evident in everyday functioning.” That framing captures the study&#8217;s central tension: the imaging data reveal real, statistically robust differences in how the brain matures, yet those differences do not translate into observable deficits on the behavioral and cognitive instruments used here. Neuroimaging, in this sense, functions as a sensitive early instrument, capable of detecting developmental variation before it would surface in clinical or educational measures, if it ever does.</p>
<p>The reassuring headline for families is that the absence of widespread behavioral or cognitive differences suggests late preterm birth, on its own, is not a sentence of developmental difficulty. But the DTI results argue against complacency in the opposite direction. “LP birth should not be viewed as a prediction of poor developmental outcomes,” Professor Tomoda added. “Rather, our results support continued awareness of individual developmental needs, so that children who experience emerging difficulties can receive appropriate assessment and support.” The imaging differences do not establish that every late preterm child will develop difficulties, nor do they demonstrate that the observed brain differences cause functional problems. What they provide is a biological rationale for attentive, individualized follow-up rather than either alarm or blanket reassurance.</p>
<p>The researchers are equally candid about the limits of what the study can claim. Substantial attrition between the two assessment timepoints, the availability of only two measurement occasions, retrospective reporting of gestational age by parents, and the observational design of the ABCD Study all constrain interpretation; observational data cannot rule out the influence of factors that correlate with both gestational length and brain development. What the study establishes is that late preterm birth is associated with selected regional brain-volume differences and, particularly in longitudinal analysis, with differences in DTI measures during early adolescence. Whether those subtle neuroimaging signatures persist, normalize, or eventually relate to cognitive, behavioral, or educational outcomes is a question only further longitudinal research can answer. For now, the study offers a refined picture of the late preterm brain: largely typical in its outward function, quietly distinctive in its microscopic maturation, and best understood not as a category of risk but as a reminder that development unfolds on individual timetables that deserve to be watched with care.</p>
<p><strong>Subject of Research:</strong> Neurodevelopmental and brain imaging outcomes in children born late preterm</p>
<p><strong>Article Title:</strong> Study reveals subtle neuroimaging differences after late preterm birth</p>
<p><strong>Article References:</strong> Study reveals subtle neuroimaging differences after late preterm birth. (n.d.). <a href="https://www.eurekalert.org/news-releases/1147890" rel="noopener noreferrer">Original publication</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> Not provided</p>
<p><strong>Keywords:</strong> late preterm birth, ABCD Study, neuroimaging, diffusion tensor imaging, brain development, white matter, fractional anisotropy, mean diffusivity, pediatric neuroscience, Frontiers in Pediatrics, University of Fukui, child development</p>
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