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Updated: May 6, 2026

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
Published on: March 14, 2013
Automatically quantified diffuse excessive high signal intensity on MRI predicts cognitive development in preterm
Nehal A Parikh1, Lili He, Eliana Bonfante-Mejia
1Center for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio; The Department of Pediatrics, Ohio State University College of Medicine, Columbus, Ohio; Department of Pediatrics, Division of Neonatology, University of Texas Health Science Center, Houston, Texas.
Diffuse excessive high signal intensity in preterm infants indicates pathology, predicting cognitive and language impairments. Objective MRI measures at term correlate with developmental outcomes at two years.
Area of Science:
- Neuroimaging
- Developmental Pediatrics
- White Matter Biology
Background:
- Cognitive and language impairments are common in preterm infants.
- The nature of diffuse excessive high signal intensity (DEHSI) on MRI at term (delayed maturation vs. pathology) is unclear.
Purpose of the Study:
- To determine if objectively quantified DEHSI measures predict cognitive and language development at 2 years in extremely preterm infants.
- To investigate the association between DEHSI and neurodevelopmental outcomes.
Main Methods:
- Diffusion tensor imaging (DTI) was used to quantify DEHSI volume and diffusivity measures in 41 extremely low birth weight infants.
- Automated probabilistic atlas segmented DEHSI regions.
- Bayley Scales of Infant Development, 3rd edition, assessed neurodevelopment at 2 years.
Main Results:
- Objectively quantified DEHSI volume significantly correlated with cognitive and language scores (P < 0.001).
- DTI measures within DEHSI regions also correlated significantly with Bayley scores (r(2) 34.7%; P < 0.001).
- Infants with highest DEHSI volumes had significantly lower scores compared to those with lowest volumes (P < 0.01).
Conclusions:
- DEHSI is likely pathologic, with objective DTI-based quantification predicting cognitive and language impairments.
- This objective approach can aid in risk stratification and early intervention for high-risk preterm infants.
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