All Publications


  • Characteristics and Effects of the Academic Half Day Model in Post-graduate Medical Training: AScoping Review Choe, M., Huffman, L., Hubner, L. LIPPINCOTT WILLIAMS & WILKINS. 2021: S7
  • Characteristics and Effects of the Academic Half Day Model in Post-graduate Medical Training: A Scoping Review Choe, M., Huffman, L., Hubner, L. LIPPINCOTT WILLIAMS & WILKINS. 2021: S7
  • A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age range FRONTIERS IN HUMAN NEUROSCIENCE Rodrigues, K., Ben-Avi, E., Sliva, D. D., Choe, M., Drottar, M., Wang, R., Fischl, B., Grant, P. E., Zoellei, L. 2015; 9: 21

    Abstract

    We present a detailed description of a set of FreeSurfer compatible segmentation guidelines tailored to infant MRI scans, and a unique data set of manually segmented acquisitions, with subjects nearly evenly distributed between 0 and 2 years of age. We believe that these segmentation guidelines and this dataset will have a wide range of potential uses in medicine and neuroscience.

    View details for DOI 10.3389/fnhum.2015.00021

    View details for Web of Science ID 000349521600001

    View details for PubMedID 25741260

    View details for PubMedCentralID PMC4332305

  • Regional Infant Brain Development: An MRI-Based Morphometric Analysis in 3 to 13 Month Olds CEREBRAL CORTEX Choe, M., Ortiz-Mantilla, S., Makris, N., Gregas, M., Bacic, J., Haehn, D., Kennedy, D., Pienaar, R., Caviness, V. S., Benasich, A. A., Grant, P. 2013; 23 (9): 2100-2117

    Abstract

    Elucidation of infant brain development is a critically important goal given the enduring impact of these early processes on various domains including later cognition and language. Although infants' whole-brain growth rates have long been available, regional growth rates have not been reported systematically. Accordingly, relatively less is known about the dynamics and organization of typically developing infant brains. Here we report global and regional volumetric growth of cerebrum, cerebellum, and brainstem with gender dimorphism, in 33 cross-sectional scans, over 3 to 13 months, using T1-weighted 3-dimensional spoiled gradient echo images and detailed semi-automated brain segmentation. Except for the midbrain and lateral ventricles, all absolute volumes of brain regions showed significant growth, with 6 different patterns of volumetric change. When normalized to the whole brain, the regional increase was characterized by 5 differential patterns. The putamen, cerebellar hemispheres, and total cerebellum were the only regions that showed positive growth in the normalized brain. Our results show region-specific patterns of volumetric change and contribute to the systematic understanding of infant brain development. This study greatly expands our knowledge of normal development and in future may provide a basis for identifying early deviation above and beyond normative variation that might signal higher risk for neurological disorders.

    View details for DOI 10.1093/cercor/bhs197

    View details for Web of Science ID 000322661100008

    View details for PubMedID 22772652

    View details for PubMedCentralID PMC3729199

  • Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model NEUROIMAGE Lew, S., Sliva, D. D., Choe, M., Grant, P., Okada, Y., Wolters, C. H., Haemaelaeinen, M. S. 2013; 76 (1): 282-293

    Abstract

    In infants, the fontanels and sutures as well as conductivity of the skull influence the volume currents accompanying primary currents generated by active neurons and thus the associated electroencephalography (EEG) and magnetoencephalography (MEG) signals. We used a finite element method (FEM) to construct a realistic model of the head of an infant based on MRI images. Using this model, we investigated the effects of the fontanels, sutures and skull conductivity on forward and inverse EEG and MEG source analysis. Simulation results show that MEG is better suited than EEG to study early brain development because it is much less sensitive than EEG to distortions of the volume current caused by the fontanels and sutures and to inaccurate estimates of skull conductivity. Best results will be achieved when MEG and EEG are used in combination.

    View details for DOI 10.1016/j.neuroimage.2013.03.017

    View details for Web of Science ID 000319090300027

    View details for PubMedID 23531680

    View details for PubMedCentralID PMC3760345

  • Associations between the size of the amygdala in infancy and language abilities during the preschool years in normally developing children NEUROIMAGE Ortiz-Mantilla, S., Choe, M., Flax, J., Grant, P., Benasich, A. A. 2010; 49 (3): 2791-2799

    Abstract

    Recently, structural MRI studies in children have been used to examine relations between brain volume and behavioral measures. However, most of these studies have been done in children older than 2 years of age. Obtaining volumetric measures in infants is considerably more difficult, as structures are less well defined and largely unmyelinated, making segmentation challenging. Moreover, it is still unclear whether individual anatomic variation across development, in healthy, normally developing infants, is reflected in the configuration and function of the mature brain and, as importantly, whether variation in infant brain structure might be related to later cognitive and linguistic abilities. In this longitudinal study, using T1 structural MRI, we identified links between amygdala volume in normally developing, naturally sleeping, 6-month infants and their subsequent language abilities at 2, 3 and 4 years. The images were processed and manually segmented using Cardviews to extract volumetric measures. Intra-rater reliability for repeated segmentation was 87.73% of common voxel agreement. Standardized language assessments were administered at 6 and 12 months and at 2, 3 and 4 years. Significant and consistent correlations were found between amygdala size and language abilities. Children with larger right amygdalae at 6 months had lower scores on expressive and receptive language measures at 2, 3, and 4 years. Associations between amygdala size and language outcomes have been reported in children with autism. The findings presented here extend this association to normally developing children, supporting the idea that the amygdalae might play an important but as yet unspecified role in mediating language acquisition.

    View details for DOI 10.1016/j.neuroimage.2009.10.029

    View details for Web of Science ID 000273626400083

    View details for PubMedID 19850137