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Arshad NH, Abu Hassan H, Omar NF, Zainudin Z. Quantifying myelin in neonates using magnetic resonance imaging: a systematic literature review. Clin Exp Pediatr 2024; 67:371-385. [PMID: 38062713 PMCID: PMC11298773 DOI: 10.3345/cep.2023.00514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/11/2023] [Accepted: 08/12/2023] [Indexed: 08/03/2024] Open
Abstract
This review aimed to assess the usefulness of various magnetic resonance imaging (MRI) techniques for the quantification of neonatal white matter myelination. The Scopus, PubMed, and Web of Science databases were searched to identify studies following the PRISMA (preferred reporting items for systematic reviews and meta-analyses) statement using quantitative MRI techniques to examine samples collected from neonates to quantify myelin. Twelve studies were ultimately included. The results demonstrated that in validation studies, relaxometry is the most frequently explored approach (83.33%), followed by magnetization transfer imaging (8.33%) and a new automatic segmentation technique (8.33%). Synthetic MRI is recommended for quantifying myelin in neonates because of several advantages that outweigh a few negligible limitations.
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Affiliation(s)
- Nabila Hanem Arshad
- Department of Radiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
- Department of Radiology, Hospital Sultan Abdul Aziz Shah, Universiti Putra Malaysia, Selangor, Malaysia
| | - Hasyma Abu Hassan
- Department of Radiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
| | - Nur Farhayu Omar
- Department of Radiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
| | - Zurina Zainudin
- Department of Paediatrics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
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Gupta G, Arrington CN, Morris R. Sex Differences in White Matter Diffusivity in Children with Developmental Dyslexia. CHILDREN (BASEL, SWITZERLAND) 2024; 11:721. [PMID: 38929300 PMCID: PMC11201584 DOI: 10.3390/children11060721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 05/30/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024]
Abstract
Despite the high prevalence of developmental dyslexia in the U.S. population, research remains limited and possibly biased due to the overrepresentation of males in most dyslexic samples. Studying biological sex differences in the context of developmental dyslexia can help provide a more complete understanding of the neurological markers that underly this disorder. The current study aimed to explore sex differences in white matter diffusivity in typical and dyslexic samples in third and fourth graders. Participants were asked to complete behavioral/cognitive assessments at baseline followed by MRI scanning and diffusion-weighted imaging sequences. A series of ANOVAs were conducted for comparing group membership (developmental dyslexia or typically developing), gender status (F/M), and white matter diffusivity in the tracts of interest. The Results indicated significant differences in fractional anisotropy in the left hemisphere components of the inferior and superior (parietal and temporal) longitudinal fasciculi. While males with dyslexia had lower fractional anisotropy in these tracts compared to control males, no such differences were found in females. The results of the current study may suggest that females may use a more bilateral/alternative reading network.
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Affiliation(s)
- Gehna Gupta
- Department of Neuroscience, Georgia State University, Atlanta, GA 30303, USA;
- Georgia State/Georgia Tech Center for Advanced Brain Imaging, Atlanta, GA 30318, USA;
| | - C. Nikki Arrington
- Department of Neuroscience, Georgia State University, Atlanta, GA 30303, USA;
- Georgia State/Georgia Tech Center for Advanced Brain Imaging, Atlanta, GA 30318, USA;
- Department of Psychology, Georgia State University, Atlanta, GA 30303, USA
- Center for Translational Research in Neuroimaging and Data Science, Atlanta, GA 30303, USA
| | - Robin Morris
- Georgia State/Georgia Tech Center for Advanced Brain Imaging, Atlanta, GA 30318, USA;
- Department of Psychology, Georgia State University, Atlanta, GA 30303, USA
- Center for Translational Research in Neuroimaging and Data Science, Atlanta, GA 30303, USA
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Zhang P, Yang J, Shu Y, Cheng M, Zhao X, Wang K, Lu L, Xing Q, Niu G, Meng L, Wang X, Zhou L, Zhang X. The value of synthetic MRI in detecting the brain changes and hearing impairment of children with sensorineural hearing loss. Front Neurosci 2024; 18:1365141. [PMID: 38919907 PMCID: PMC11197400 DOI: 10.3389/fnins.2024.1365141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 05/21/2024] [Indexed: 06/27/2024] Open
Abstract
Introduction Sensorineural hearing loss (SNHL) can arise from a diverse range of congenital and acquired factors. Detecting it early is pivotal for nurturing speech, language, and cognitive development in children with SNHL. In our study, we utilized synthetic magnetic resonance imaging (SyMRI) to assess alterations in both gray and white matter within the brains of children affected by SNHL. Methods The study encompassed both children diagnosed with SNHL and a control group of children with normal hearing {1.5-month-olds (n = 52) and 3-month-olds (n = 78)}. Participants were categorized based on their auditory brainstem response (ABR) threshold, delineated into normal, mild, moderate, and severe subgroups.Clinical parameters were included and assessed the correlation with SNHL. Quantitative analysis of brain morphology was conducted using SyMRI scans, yielding data on brain segmentation and relaxation time.Through both univariate and multivariate analyses, independent factors predictive of SNHL were identified. The efficacy of the prediction model was evaluated using receiver operating characteristic (ROC) curves, with visualization facilitated through the utilization of a nomogram. It's important to note that due to the constraints of our research, we worked with a relatively small sample size. Results Neonatal hyperbilirubinemia (NH) and children with inner ear malformation (IEM) were associated with the onset of SNHL both at 1.5 and 3-month groups. At 3-month group, the moderate and severe subgroups exhibited elevated quantitative T1 values in the inferior colliculus (IC), lateral lemniscus (LL), and middle cerebellar peduncle (MCP) compared to the normal group. Additionally, WMV, WMF, MYF, and MYV were significantly reduced relative to the normal group. Additionally, SNHL-children with IEM had high T1 values in IC, and LL and reduced WMV, WMF, MYV and MYF values as compared with SNHL-children without IEM at 3-month group. LL-T1 and WMF were independent risk factors associated with SNHL. Consequently, a prediction model was devised based on LL-T1 and WMF. ROC for training set, validation set and external set were 0.865, 0.806, and 0.736, respectively. Conclusion The integration of T1 quantitative values and brain volume segmentation offers a valuable tool for tracking brain development in children affected by SNHL and assessing the progression of the condition's severity.
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Affiliation(s)
- Penghua Zhang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jinze Yang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yikai Shu
- Henan University of Science and Technology, Luoyang, Henan, China
| | - Meiying Cheng
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xin Zhao
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kaiyu Wang
- MRI Research, GE Healthcare, Beijing, China
| | - Lin Lu
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qingna Xing
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Guangying Niu
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lingsong Meng
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xueyuan Wang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Liang Zhou
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoan Zhang
- Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Chen Y, Green HL, Berman JI, Putt ME, Otten K, Mol KL, McNamee M, Allison O, Kuschner ES, Kim M, Bloy L, Liu S, Yount T, Roberts TPL, Edgar JC. Functional and structural maturation of auditory cortex from 2 months to 2 years old. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597426. [PMID: 38895425 PMCID: PMC11185738 DOI: 10.1101/2024.06.05.597426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
In school-age children, the myelination of the auditory radiation thalamocortical pathway is associated with the latency of auditory evoked responses, with the myelination of thalamocortical axons facilitating the rapid propagation of acoustic information. Little is known regarding this auditory system function-structure association in infants and toddlers. The present study tested the hypothesis that maturation of auditory radiation white-matter microstructure (e.g., fractional anisotropy (FA); measured using diffusion-weighted MRI) is associated with the latency of the infant auditory response (P2m measured using magnetoencephalography, MEG) in a cross-sectional (2 to 24 months) as well as longitudinal cohort (2 to 29 months) of typically developing infants and toddlers. In the cross-sectional sample, non-linear maturation of P2m latency and auditory radiation diffusion measures were observed. After removing the variance associated with age in both P2m latency and auditory radiation diffusion measures, auditory radiation still accounted for significant variance in P2m latency. In the longitudinal sample, latency and FA associations could be observed at the level of a single child. Findings provide strong support for a contribution of auditory radiation white matter to rapid cortical auditory encoding processes in infants.
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Kato S, Kurokawa R, Suzuki F, Amemiya S, Shinozaki T, Takanezawa D, Kohashi R, Abe O. White and Gray Matter Abnormality in Burning Mouth Syndrome Evaluated with Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging. Magn Reson Med Sci 2024; 23:204-213. [PMID: 36990741 PMCID: PMC11024709 DOI: 10.2463/mrms.mp.2022-0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 03/02/2023] [Indexed: 03/30/2023] Open
Abstract
PURPOSE Burning mouth syndrome (BMS) is defined by a burning sensation or pain in the tongue or other oral sites despite the presence of normal mucosa on inspection. Both psychiatric and neuroimaging investigations have examined BMS; however, there have been no analyses using the neurite orientation dispersion and density imaging (NODDI) model, which provides detailed information of intra- and extracellular microstructures. Therefore, we performed voxel-wise analyses using both NODDI and diffusion tensor imaging (DTI) models and compared the results to better comprehend the pathology of BMS. METHODS Fourteen patients with BMS and 11 age- and sex-matched healthy control subjects were prospectively scanned using a 3T-MRI machine using 2-shell diffusion imaging. Diffusion tensor metrics (fractional anisotropy [FA], mean diffusivity [MD], axial diffusivity [AD], and radial diffusivity [RD]) and neurite orientation and dispersion index metrics (intracellular volume fraction [ICVF], isotropic volume fraction [ISO], and orientation dispersion index [ODI]) were retrieved from diffusion MRI data. These data were analyzed using tract-based spatial statistics (TBSS) and gray matter-based spatial statistics (GBSS). RESULTS TBSS analysis showed that patients with BMS had significantly higher FA and ICVF and lower MD and RD than the healthy control subjects (family-wise error [FWE] corrected P < 0.05). Changes in ICVF, MD, and RD were observed in widespread white matter areas. Fairly small areas with different FA were included. GBSS analysis showed that patients with BMS had significantly higher ISO and lower MD and RD than the healthy control subjects (FWE-corrected P < 0.05), mainly limited to the amygdala. CONCLUSION The increased ICVF in the BMS group may represent myelination and/or astrocytic hypertrophy, and microstructural changes in the amygdala in GBSS analysis indicate the emotional-affective profile of BMS.
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Affiliation(s)
- Shimpei Kato
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryo Kurokawa
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Fumio Suzuki
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shiori Amemiya
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takahiro Shinozaki
- Department of Oral Diagnostic Sciences, Nihon University School of Dentistry, Tokyo, Japan
| | - Daiki Takanezawa
- Department of Oral Diagnostic Sciences, Nihon University School of Dentistry, Tokyo, Japan
| | - Ryutaro Kohashi
- Department of Oral and Maxillofacial Radiology, Nihon University School of Dentistry, Tokyo, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Jang WH, Lee SH. Diffusion tensor imaging of the brain in children with sensory processing disorder: A review. J Neuroimaging 2024; 34:167-178. [PMID: 38183169 DOI: 10.1111/jon.13186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 12/20/2023] [Accepted: 12/20/2023] [Indexed: 01/07/2024] Open
Abstract
Sensory processing disorder (SPD) is a clinical condition characterized by difficulties in the neurological processes of registering, discriminating, organizing, and responding to various sensory sensations. This study aimed to review the association between impaired white matter (WM) tract structure and neurofunctional deficits in children with SPD using diffusion tensor imaging (DTI). A comprehensive literature search was conducted using the online databases Google Scholar and PubMed (from 2010 to July 2023), resulting in the selection of nine relevant studies. Findings revealed that the splenium of the corpus callosum (SCC), superior longitudinal fasciculus (SLF), posterior corona radiata (PCR), and posterior thalamic radiation (PTR) exhibited reduced microstructural integrity, strongly associated with SPD. Specifically, auditory over-responsivity, a subtype of SPD, was linked to impaired integrity of the PCR, PTR, anterior corona radiata, and SLF. Tactile over-responsivity (TOR) was correlated with markers of decreased integrity in the SCC, superior corona radiata, and left PTR. Among the DTI parameters, decreased fractional anisotropy (FA) emerged as the most reliable factor for identifying SPD, followed by increased radial diffusivity (RD) and mean diffusivity (MD). Notably, significant correlations were observed between with auditory over-responsivity and TOR with the DTI parameters (positive for FA and negative for RD and MD). Overall, this review confirms the impaired integrity of specific WM tracts in children with SPD and establishes correlations between DTI parameters and neurobehavioral deficits associated with the disorder. The insights gained from this review contribute to a better understanding of SPD and hold clinical implications for its diagnosis and treatment.
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Affiliation(s)
- Woo-Hyuk Jang
- Department of Occupational Therapy, College of Health Science, Kangwon National University, Samcheok-si, Republic of Korea
| | - Seon-Hee Lee
- Department of Occupational Therapy, College of Health Science, Kangwon National University, Samcheok-si, Republic of Korea
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Genç B, Delibalta S, Aslan K, Ceyhan Bilgici MN. Paediatric supratentorial tumours do not cause microstructural alterations in contralateral white matter: a preliminary study. Childs Nerv Syst 2024; 40:41-46. [PMID: 37470834 DOI: 10.1007/s00381-023-06083-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND AND PURPOSE Intracranial tumours in children can exhibit different characteristics compared to those in adults. Understanding the microstructural changes in the contralateral normal-appearing white matter (NAWM) in children with primary intracranial masses is essential for optimizing treatment strategies. This study aimed to investigate the apparent diffusion coefficient (ADC) changes in contralateral NAWM using fully automated methods and deep learning algorithms. METHODS We included 22 paediatric patients with primary supratentorial intracranial masses (23% high-grade) in the study. ADC values of the contralateral NAWM in the patient group were compared to those of a control group. Deep learning algorithms were utilized to analyse diffusion changes in NAWM. RESULTS The mean ADC values of contralateral NAWM in the patient group were 0.80 ± 0.03 × 10-3 mm2/s, while the control group had a mean ADC value of 0.81 ± 0.03 × 10-3 mm2/s. There was no statistically significant difference between the groups (p = 0.39). Our findings indicate that there are no significant diffusion changes in the contralateral white matter of children with supratentorial intracranial masses. CONCLUSION Primary supratentorial intracranial masses in children do not cause microstructural changes in contralateral normal-appearing white matter. This could be attributed to the less infiltrative nature and different biochemical profile of these tumour groups in the paediatric population. Further studies using advanced imaging techniques could provide additional insights into the distinct characteristics of paediatric intracranial tumours and improve patient management.
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Affiliation(s)
- Barış Genç
- Department of Radiology, Samsun Education and Research Hospital, İlkadım, Samsun, 55060, Turkey.
| | - Semra Delibalta
- Department of Radiology, Amasya Sabuncuoğlu Şerefeddin Education and Research Hospital, Amasya, Turkey
| | - Kerim Aslan
- Department of Radiology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
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Weber CF, Lake EMR, Haider SP, Mozayan A, Bobba PS, Mukherjee P, Scheinost D, Constable RT, Ment L, Payabvash S. Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes. Front Neurosci 2023; 17:1285396. [PMID: 38075286 PMCID: PMC10702224 DOI: 10.3389/fnins.2023.1285396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/30/2023] [Indexed: 02/12/2024] Open
Abstract
Introduction Autism spectrum disorder (ASD) is associated with both functional and microstructural connectome disruptions. We deployed a novel methodology using functionally defined nodes to guide white matter (WM) tractography and identify ASD-related microstructural connectome changes across the lifespan. Methods We used diffusion tensor imaging and clinical data from four studies in the national database for autism research (NDAR) including 155 infants, 102 toddlers, 230 adolescents, and 96 young adults - of whom 264 (45%) were diagnosed with ASD. We applied cortical nodes from a prior fMRI study identifying regions related to symptom severity scores and used these seeds to construct WM fiber tracts as connectome Edge Density (ED) maps. Resulting ED maps were assessed for between-group differences using voxel-wise and tract-based analysis. We then examined the association of ASD diagnosis with ED driven from functional nodes generated from different sensitivity thresholds. Results In ED derived from functionally guided tractography, we identified ASD-related changes in infants (pFDR ≤ 0.001-0.483). Overall, more wide-spread ASD-related differences were detectable in ED based on functional nodes with positive symptom correlation than negative correlation to ASD, and stricter thresholds for functional nodes resulted in stronger correlation with ASD among infants (z = -6.413 to 6.666, pFDR ≤ 0.001-0.968). Voxel-wise analysis revealed wide-spread ED reductions in central WM tracts of toddlers, adolescents, and adults. Discussion We detected early changes of aberrant WM development in infants developing ASD when generating microstructural connectome ED map with cortical nodes defined by functional imaging. These were not evident when applying structurally defined nodes, suggesting that functionally guided DTI-based tractography can help identify early ASD-related WM disruptions between cortical regions exhibiting abnormal connectivity patterns later in life. Furthermore, our results suggest a benefit of involving functionally informed nodes in diffusion imaging-based probabilistic tractography, and underline that different age cohorts can benefit from age- and brain development-adapted image processing protocols.
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Affiliation(s)
- Clara F Weber
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
- Social Neuroscience Lab, Department of Psychiatry and Psychotherapy, Lübeck University, Lübeck, Germany
- Center of Brain, Behavior and Metabolism (CBBM), Lübeck University, Lübeck, Germany
| | - Evelyn M R Lake
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
| | - Stefan P Haider
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
- Department of Otorhinolaryngology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Ali Mozayan
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
| | - Pratheek S Bobba
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Dustin Scheinost
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
| | - Robert T Constable
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
| | - Laura Ment
- Yale University School of Medicine, Department of Pediatrics and Neurology, New Haven, CT, United States
| | - Seyedmehdi Payabvash
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States
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Dremmen MHG, Papp D, Hernandez-Tamames JA, Vernooij MW, White T. The Influence of Nonaerated Paranasal Sinuses on DTI Parameters of the Brain in 6- to 9-Year-Old Children. AJNR Am J Neuroradiol 2023; 44:1318-1324. [PMID: 37918939 PMCID: PMC10631535 DOI: 10.3174/ajnr.a8033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/20/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND AND PURPOSE DTI is prone to susceptibility artifacts. Air in the paranasal sinuses can cause field inhomogeneity, thus affecting measurements. Children often have mucus in their sinuses or no pneumatization of them. This study investigated the influence of lack of air in the paranasal sinuses on measurements of WM diffusion characteristics. MATERIALS AND METHODS The study was embedded in the Generation R Study, a prospective population-based birth cohort in Rotterdam (the Netherlands). Brain MR imaging studies (1070 children, 6-9 years of age) were evaluated for mucosal thickening of the paranasal sinuses. Nonaeration of the paranasal sinuses (modified Lund-Mackay score) was compared with that in a randomly selected control group. The relationship between nonaerated paranasal sinuses and fractional anisotropy and mean diffusivity in the DTI fiber tracts was evaluated using ANCOVA and independent t tests. RESULTS The prevalence of mucosal thickening was 10.2% (109/1070). The mean modified Lund-Mackay score was 6.87 (SD, 3.76). In 52.3% (57/109), ≥ 1 paranasal sinus was not pneumatized. The results are reported in effect sizes (Cohen's d). Lower mean fractional anisotropy values were found in the uncinate fasciculus (right uncinate fasciculus/right frontal sinus, d = -0.60), superior longitudinal fasciculus (right superior longitudinal fasciculus/right ethmoid sinus, d = -0.56; right superior longitudinal fasciculus/right sphenoid sinus, d = -2.09), and cingulate bundle (right cingulum bundle/right sphenoid sinus, d = -1.28; left cingulum bundle/left sphenoid sinus, d = -1.49). Higher mean diffusivity values were found in the forceps major/right and left sphenoid sinuses, d = 0.78. CONCLUSIONS Nonaeration of the paranasal sinuses is a common incidental finding on pediatric MR imaging brain scans. The amount of air in the paranasal sinuses can influence fractional anisotropy and, to a lesser degree, mean diffusivity values of WM tracts and should be considered in DTI studies in pediatric populations.
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Affiliation(s)
- Marjolein H G Dremmen
- From the Department of Radiology and Nuclear Medicine (M.H.G.D., D.P., J.A.H.-T., M.W.V., T.W.), Erasmus University Medical Center, Rotterdam, the Netherlands
- The Generation R Study Group (M.H.G.D.), Erasmus Medical Center Sophia, Rotterdam, the Netherlands
| | - Dorottya Papp
- From the Department of Radiology and Nuclear Medicine (M.H.G.D., D.P., J.A.H.-T., M.W.V., T.W.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Juan A Hernandez-Tamames
- From the Department of Radiology and Nuclear Medicine (M.H.G.D., D.P., J.A.H.-T., M.W.V., T.W.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- From the Department of Radiology and Nuclear Medicine (M.H.G.D., D.P., J.A.H.-T., M.W.V., T.W.), Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology (M.W.V.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Tonya White
- From the Department of Radiology and Nuclear Medicine (M.H.G.D., D.P., J.A.H.-T., M.W.V., T.W.), Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry (T.W.), Erasmus Medical Center Sophia, Rotterdam, the Netherlands
- Section on Social and Cognitive Developmental Neuroscience (T.W.), National Institute of Mental Health, Bethesda, Maryland
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Bültmann E, Zapf A, Mussgnug HJ, Kanzelmeyer N, Hartmann H. Cerebral microstructural changes in children suffering from hemolytic uremic syndrome. Eur J Pediatr 2023; 182:4663-4672. [PMID: 37558834 PMCID: PMC10587265 DOI: 10.1007/s00431-023-05130-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 08/11/2023]
Abstract
To evaluate microstructural cerebral changes in children suffering from typical hemolytic uremic syndrome (HUS) based on apparent diffusion coefficient (ADC) maps. For 12 pediatric HUS patients (0.8 - 14.6 years of age) conventional magnetic resonance imaging (cMRI) at 1.5 T was retrospectively analyzed. ADC values were measured in 35 different brain regions and compared with age-related, previously published ADC reference values from a healthy pediatric control group. The HUS cohort was divided into 2 subgroups depending on clinical outcome. Subgroup A showed poor neurological outcome whereas subgroup B demonstrated improvement without lasting neurological deficits. Qualitative analysis revealed lesions by diffusion-weighted imaging (DWI) with hypointense correlate on the ADC map in basal ganglia and/or thalami and corresponding T2 hyperintensities in the majority of patients in Subgroup A (80%). Those in Subgroup B did not show qualitative DWI alterations with ADC correlate even when T2 hyperintense lesions were detected in basal ganglia and/or thalami. Quantitative analysis demonstrated abnormal ADC values in all HUS patients with a trend to a greater number of affected regions in Subgroup A compared to Subgroup B (16 versus 11 median number of regions respectively, p = 0.56). Conclusion: Using DWI qualitative and quantitative differences were found between HUS patients showing poor neurological outcome and those without neurological deficits at discharge. While ADC values indicated more extensive cerebral changes than conventional qualitative findings, both may provide early prognostic indicators for neurological outcome in pediatric HUS patients. What is Known: • In patients with STEC-HUS and neurological symptoms, MRI may show hyperintense signals on T2 and altered diffusivity mostly affecting basal ganglia, thalami and periventricular white matter. What is New: • In such patients, early MRI including quantitative ADC measurements over different brain regions may allow for detection of signal alterations possibly reflecting microstructural changes in such patients.
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Affiliation(s)
- Eva Bültmann
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625, Hannover, Germany.
| | - Antonia Zapf
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans Joachim Mussgnug
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625, Hannover, Germany
| | - Nele Kanzelmeyer
- Clinic for Pediatric Kidney, Liver, and Metabolic Diseases, Hannover Medical School, Hannover, Germany
| | - Hans Hartmann
- Clinic for Pediatric Kidney, Liver, and Metabolic Diseases, Hannover Medical School, Hannover, Germany
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Merisaari H, Karlsson L, Scheinin NM, Shulist SJ, Lewis JD, Karlsson H, Tuulari JJ. Effect of number of diffusion encoding directions in neonatal diffusion tensor imaging using Tract-Based Spatial Statistical analysis. Eur J Neurosci 2023; 58:3827-3837. [PMID: 37641861 DOI: 10.1111/ejn.16135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/09/2023] [Accepted: 08/12/2023] [Indexed: 08/31/2023]
Abstract
Diffusion tensor imaging (DTI) has been used to study the developing brain in early childhood, infants and in utero studies. In infants, number of used diffusion encoding directions has traditionally been smaller in earlier studies down to the minimum of 6 orthogonal directions. Whereas the more recent studies often involve more directions, number of used directions remain an issue when acquisition time is optimized without compromising on data quality and in retrospective studies. Variability in the number of used directions may introduce bias and uncertainties to the DTI scalar estimates that affect cross-sectional and longitudinal study of the brain. We analysed DTI images of 133 neonates, each data having 54 directions after quality control, to evaluate the effect of number of diffusion weighting directions from 6 to 54 with interval of 6 to the DTI scalars with Tract-Based Spatial Statistics (TBSS) analysis. The TBSS analysis was applied to DTI scalar maps, and the mean region of interest (ROI) values were extracted using JHU atlas. We found significant bias in ROI mean values when only 6 directions were used (positive in fractional anisotropy [FA] and negative in fractional anisotropy [MD], axial diffusivity [AD] and fractional anisotropy [RD]), while when using 24 directions and above, the difference to scalar values calculated from 54 direction DTI was negligible. In repeated measures voxel-wise analysis, notable differences to 54 direction DTI were observed with 6, 12 and 18 directions. DTI measurements from data with at least 24 directions may be used in comparisons with DTI measurements from data with higher numbers of directions.
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Affiliation(s)
- Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Central Hospital and University of Turku, Turku, Finland
- Department of Radiology, Turku University Central Hospital and University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Central Hospital and University of Turku, Turku, Finland
- Department of Paediatrics and Adolescent Medicine, Turku University Central Hospital and University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Noora M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Central Hospital and University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Satu J Shulist
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Central Hospital and University of Turku, Turku, Finland
| | - John D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Central Hospital and University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Central Hospital and University of Turku, Turku, Finland
- Turku Collegium of Science, Medicine and Technology, University of Turku, Turku, Finland
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12
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Mark IT, Wren-Jarvis J, Xiao J, Cai LT, Parekh S, Bourla I, Lazerwitz MC, Rowe MA, Marco EJ, Mukherjee P. Neurite orientation dispersion and density imaging of white matter microstructure in sensory processing dysfunction with versus without comorbid ADHD. Front Neurosci 2023; 17:1136424. [PMID: 37492404 PMCID: PMC10363610 DOI: 10.3389/fnins.2023.1136424] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/19/2023] [Indexed: 07/27/2023] Open
Abstract
Introduction Sensory Processing Dysfunction (SPD) is common yet understudied, affecting up to one in six children with 40% experiencing co-occurring challenges with attention. The neural architecture of SPD with Attention Deficit and Hyperactivity Disorder (ADHD) (SPD+ADHD) versus SPD without ADHD (SPD-ADHD) has yet to be explored in diffusion tensor imaging (DTI) and Neurite Orientation Dispersion and Density Imaging (NODDI) has yet to be examined. Methods The present study computed DTI and NODDI biophysical model parameter maps of one hundred children with SPD. Global, regional and voxel-level white matter tract measures were analyzed and compared between SPD+ADHD and SPD-ADHD groups. Results SPD+ADHD children had global WM Fractional Anisotropy (FA) and Neurite Density Index (NDI) that trended lower than SPD-ADHD children, primarily in boys only. Data-driven voxelwise and WM tract-based analysis revealed statistically significant decreases of NDI in boys with SPD+ADHD compared to those with SPD-ADHD, primarily in projection tracts of the internal capsule and commissural fibers of the splenium of the corpus callosum. Conclusion We conclude that WM microstructure is more delayed/disrupted in boys with SPD+ADHD compared to SPD-ADHD, with NODDI showing a larger effect than DTI. This may represent the combined WM pathology of SPD and ADHD, or it may result from a greater degree of SPD WM pathology causing the development of ADHD.
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Affiliation(s)
- Ian T. Mark
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
| | - Jamie Wren-Jarvis
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
| | - Jaclyn Xiao
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
| | - Lanya T. Cai
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
| | - Shalin Parekh
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
| | - Ioanna Bourla
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
| | - Maia C. Lazerwitz
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
- Cortica Healthcare, San Rafael, CA, United States
| | - Mikaela A. Rowe
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
- Cortica Healthcare, San Rafael, CA, United States
| | | | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California – San Francisco, San Francisco, CA, United States
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13
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Nazeri A, Krsnik Ž, Kostović I, Ha SM, Kopić J, Alexopoulos D, Kaplan S, Meyer D, Luby JL, Warner BB, Rogers CE, Barch DM, Shimony JS, McKinstry RC, Neil JJ, Smyser CD, Sotiras A. Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology. Neuron 2022; 110:4015-4030.e4. [PMID: 36243003 PMCID: PMC9742299 DOI: 10.1016/j.neuron.2022.09.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/19/2022] [Accepted: 09/15/2022] [Indexed: 11/06/2022]
Abstract
Cerebral white matter undergoes a rapid and complex maturation during the early postnatal period. Prior magnetic resonance imaging (MRI) studies of early postnatal development have often been limited by small sample size, single-modality imaging, and univariate analytics. Here, we applied nonnegative matrix factorization, an unsupervised multivariate pattern analysis technique, to T2w/T1w signal ratio maps from the Developing Human Connectome Project (n = 342 newborns) revealing patterns of coordinated white matter maturation. These patterns showed divergent age-related maturational trajectories, which were replicated in another independent cohort (n = 239). Furthermore, we showed that T2w/T1w signal variations in these maturational patterns are explained by differential contributions of white matter microstructural indices derived from diffusion-weighted MRI. Finally, we demonstrated how white matter maturation patterns relate to distinct histological features by comparing our findings with postmortem late fetal/early postnatal brain tissue staining. Together, these results delineate concise and effective representation of early postnatal white matter reorganization.
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Affiliation(s)
- Arash Nazeri
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
| | - Željka Krsnik
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb School of Medicine, Zagreb 10000, Croatia
| | - Ivica Kostović
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb School of Medicine, Zagreb 10000, Croatia
| | - Sung Min Ha
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Janja Kopić
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb School of Medicine, Zagreb 10000, Croatia
| | - Dimitrios Alexopoulos
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Sydney Kaplan
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Dominique Meyer
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Barbara B Warner
- Department of Pediatrics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Cynthia E Rogers
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Deanna M Barch
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA; Psychological & Brain Sciences, Washington University School in St. Louis, Saint Louis, MO 63130, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Jeffrey J Neil
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Christopher D Smyser
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Pediatrics, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Aristeidis Sotiras
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Institute for Informatics, Washington University School of Medicine, Saint Louis, MO 63108, USA.
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14
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Kline JE, Dudley J, Illapani VSP, Li H, Kline-Fath B, Tkach J, He L, Yuan W, Parikh NA. Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology. Neuroimage 2022; 264:119727. [PMID: 36332850 PMCID: PMC9908008 DOI: 10.1016/j.neuroimage.2022.119727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Preterm brains commonly exhibit elevated signal intensity in the white matter on T2-weighted MRI at term-equivalent age. This signal, known as diffuse excessive high signal intensity (DEHSI) or diffuse white matter abnormality (DWMA) when quantitatively assessed, is associated with abnormal microstructure on diffusion tensor imaging. However, postmortem data are largely lacking and difficult to obtain, and the pathological significance of DEHSI remains in question. In a cohort of 202 infants born preterm at ≤32 weeks gestational age, we leveraged two newer diffusion MRI models - Constrained Spherical Deconvolution (CSD) and neurite orientation dispersion and density index (NODDI) - to better characterize the macro and microstructural properties of DWMA and inform the ongoing debate around the clinical significance of DWMA. With increasing DWMA volume, fiber density broadly decreased throughout the white matter and fiber cross-section decreased in the major sensorimotor tracts. Neurite orientation dispersion decreased in the centrum semiovale, corona radiata, and temporal lobe. These findings provide insight into DWMA's biological underpinnings and demonstrate that it is a serious pathology.
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Affiliation(s)
- Julia E Kline
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Jon Dudley
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Venkata Sita Priyanka Illapani
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Hailong Li
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Beth Kline-Fath
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Jean Tkach
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Lili He
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Weihong Yuan
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Nehal A Parikh
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
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15
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Lee H, Chen C, Kochunov P, Hong LE, Chen S. Modeling multivariate age-related imaging variables with dependencies. Stat Med 2022; 41:4484-4500. [PMID: 36106648 PMCID: PMC9494615 DOI: 10.1002/sim.9522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/12/2022] [Accepted: 06/22/2022] [Indexed: 11/09/2022]
Abstract
Neuroimaging techniques have been increasingly used to understand the neural biology of aging brains. The neuroimaging variables from distinct brain locations and modalities can exhibit age-related patterns that reflect localized neural decline. However, it is a challenge to identify the impacts of risk factors (eg, mental disorders) on multivariate imaging variables while simultaneously accounting for the dependence structure and nonlinear age trajectories using existing tools. We propose a mixed-effects model to address this challenge by building random effects based on the latent brain aging status. We develop computationally efficient algorithms to estimate the parameters of new random effects. The simulations show that our approach provides accurate parameter estimates, improves the inference efficiency, and reduces the root mean square error compared to existing methods. We further apply this method to the UK Biobank data to investigate the effects of tobacco smoking on the white matter integrity of the entire brain during aging and identify the adverse effects on white matter integrity with multiple fiber tracts.
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Affiliation(s)
- Hwiyoung Lee
- Maryland Psychiatric Research Center, School of Medicine, University of Maryland, Maryland, USA
- Division of Biostatistics and Bioinformatics, School of Medicine, University of Maryland, Maryland, USA
| | - Chixiang Chen
- Division of Biostatistics and Bioinformatics, School of Medicine, University of Maryland, Maryland, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, School of Medicine, University of Maryland, Maryland, USA
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, School of Medicine, University of Maryland, Maryland, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, School of Medicine, University of Maryland, Maryland, USA
- Division of Biostatistics and Bioinformatics, School of Medicine, University of Maryland, Maryland, USA
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16
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Yokota S, Takeuchi H, Asano K, Asano M, Sassa Y, Taki Y, Kawashima R. Sex interaction of white matter microstructure and verbal IQ in corpus callosum in typically developing children and adolescents. Brain Dev 2022; 44:531-539. [PMID: 35489976 DOI: 10.1016/j.braindev.2022.04.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/24/2022] [Accepted: 04/10/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Childhood is an extremely important time for neural development that has a critical role in human intelligence. Efficient information processing is crucial for higher intelligence, so the intra- or inter-hemispheric interaction is vital. However, the relationship between neuroanatomical connections and intelligence in typically developing children, as well as sex differences in this relationship, remains unknown. METHODS Participants were 253 typically developing children (121 boys and 132 girls) aged 5-18. We acquired diffusion tensor imaging data and intelligence using an age-appropriate version of the IQ test; Wechsler Intelligence Scale for Children (WISC) or Wechsler Adult Intelligence Scale (WAIS). We conducted whole-brain multiple regression analysis to investigate the association between fractional anisotropy (FA), which reflects white matter microstructural properties, and each composite score of IQ test (full-scale IQ, performance IQ, and verbal IQ). RESULTS FA was positively correlated with full-scale IQ in bilateral inferior occipitofrontal fasciculus, genu, and splenium of corpus callosum (CC). FA in the right superior longitudinal fasciculus, bilateral inferior longitudinal fasciculus, and splenium of CC were also positively correlated with performance IQ. Furthermore, we found significant sex interaction between FA in the CC and verbal IQ. FA was positively correlated in boys, and negatively correlated in girls. CONCLUSION Results suggest that efficient anatomical connectivity between parietal and frontal regions is crucial for children's intelligence. Moreover, inter-hemispheric connections play a critical role in verbal abilities in boys.
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Affiliation(s)
- Susumu Yokota
- Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Asano
- Kokoro Research Center, Kyoto University, Kyoto, Japan
| | - Michiko Asano
- Department of Child and Adolescent Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Nuclear Medicine & Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Smart Ageing International Research Centre, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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17
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Favrais G, Bokobza C, Saliba E, Chalon S, Gressens P. Alteration of the Oligodendrocyte Lineage Varies According to the Systemic Inflammatory Stimulus in Animal Models That Mimic the Encephalopathy of Prematurity. Front Physiol 2022; 13:881674. [PMID: 35928559 PMCID: PMC9343871 DOI: 10.3389/fphys.2022.881674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/23/2022] [Indexed: 11/29/2022] Open
Abstract
Preterm birth before the gestational age of 32 weeks is associated with the occurrence of specific white matter damage (WMD) that can compromise the neurological outcome. These white matter abnormalities are embedded in more global brain damage defining the encephalopathy of prematurity (EoP). A global reduction in white matter volume that corresponds to chronic diffuse WMD is the most frequent form in contemporary cohorts of very preterm infants. This WMD partly results from alterations of the oligodendrocyte (OL) lineage during the vulnerability window preceding the beginning of brain myelination. The occurrence of prenatal, perinatal and postnatal events in addition to preterm birth is related to the intensity of WMD. Systemic inflammation is widely recognised as a risk factor of WMD in humans and in animal models. This review reports the OL lineage alterations associated with the WMD observed in infants suffering from EoP and emphasizes the role of systemic inflammation in inducing these alterations. This issue is addressed through data on human tissue and imaging, and through neonatal animal models that use systemic inflammation to induce WMD. Interestingly, the OL lineage damage varies according to the inflammatory stimulus, i.e., the liposaccharide portion of the E.Coli membrane (LPS) or the proinflammatory cytokine Interleukin-1β (IL-1β). This discrepancy reveals multiple cellular pathways inducible by inflammation that result in EoP. Variable long-term consequences on the white matter morphology and functioning may be speculated upon according to the intensity of the inflammatory challenge. This hypothesis emerges from this review and requires further exploration.
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Affiliation(s)
- Geraldine Favrais
- UMR 1253, iBrain, Inserm, Université de Tours, Tours, France
- Neonatology Unit, CHRU de Tours, Tours, France
- *Correspondence: Geraldine Favrais,
| | - Cindy Bokobza
- Inserm, NeuroDiderot, Université Paris Cité, Paris, France
| | - Elie Saliba
- UMR 1253, iBrain, Inserm, Université de Tours, Tours, France
| | - Sylvie Chalon
- UMR 1253, iBrain, Inserm, Université de Tours, Tours, France
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18
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Zhao X, Zhang C, Zhang B, Yan J, Wang K, Zhu Z, Zhang X. The Value of Diffusion Kurtosis Imaging in Detecting Delayed Brain Development of Premature Infants. Front Neurol 2021; 12:789254. [PMID: 34966352 PMCID: PMC8710729 DOI: 10.3389/fneur.2021.789254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/15/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Preterm infants are at high risk of the adverse neurodevelopmental outcomes. Our aim is to explore the value of diffusion kurtosis imaging (DKI) in diagnosing brain developmental disorders in premature infants. Materials and Methods: A total of 52 subjects were included in this study, including 26 premature infants as the preterm group, and 26 full-term infants as the control group. Routine MRI and DKI examinations were performed. Mean kurtosis (MK), radial kurtosis (RK), fractional anisotropy (FA), and mean diffusivity (MD) values were measured in the brain regions including posterior limbs of the internal capsule (PLIC), anterior limb of internal capsule (ALIC), parietal white matter (PWM), frontal white matter (FWM), thalamus (TH), caudate nucleus (CN), and genu of the corpus callosum (GCC). The chi-squared test, t-test, Spearman's correlation analysis, and receiver operating characteristic curve were used for data analyses. Results: In the premature infant group, the MK and RK values of PLIA, ALIC, and PWM were lower than those in the control group (p < 0.05). The FA values of PWM, FWM, and TH were also lower than those of the control group (p < 0.05). The area under curves of MK in PLIC and ALIC, MD in PWM, and FA in FWM were 0.813, 0.802, 0.842, and 0.867 (p < 0.05). In the thalamus and CN, the correlations between MK, RK values, and postmenstrual age (PMA) were higher than those between FA, MD values, and PMA. Conclusion: Diffusion kurtosis imaging can be used as an effective tool in detecting brain developmental disorders in premature infants.
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Affiliation(s)
- Xin Zhao
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chunxiang Zhang
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bohao Zhang
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Kaiyu Wang
- MRI Research, GE Healthcare, Beijing, China
| | | | - Xiaoan Zhang
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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19
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Huang W, Cai J, Lin N, Xu Y, Wang H, Wu Z, Kang D. Identification of BRAF p. V600E-Mutant and Wild-Type by MR Imaging in Pleomorphic Xanthoastrocytoma and Anaplastic Pleomorphic Xanthoastrocytoma. AJNR Am J Neuroradiol 2021; 42:2152-2159. [PMID: 34725042 DOI: 10.3174/ajnr.a7324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/10/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Compared with BRAF p. V600E wild-type pleomorphic xanthoastrocytoma, BRAF p. V600E-mutant pleomorphic xanthoastrocytoma showed a higher survival rate. In this study, we focused on finding preoperative MR imaging differences between BRAF p. V600E mutant and wild-type in pleomorphic xanthoastrocytoma and anaplastic pleomorphic xanthoastrocytoma. MATERIALS AND METHODS Twenty-three patients with pathologically confirmed pleomorphic xanthoastrocytoma or anaplastic pleomorphic xanthoastrocytoma in our hospital were retrospectively analyzed from January 2015 to December 2020. They were divided into a BRAF p. V600E-mutant group (including 6 pleomorphic xanthoastrocytomas and 5 anaplastic pleomorphic xanthoastrocytomas) and a wild-type group (including 8 pleomorphic xanthoastrocytomas and 4 anaplastic pleomorphic xanthoastrocytomas). The preoperative MR imaging characteristics of these groups were statistically compared. RESULTS The wild-type pleomorphic xanthoastrocytoma group presented with more aggressive conventional and advanced MR imaging features than the mutant pleomorphic xanthoastrocytoma group, including greater mean maximum tumor diameter (3.1 [SD, 0.9] cm versus 1.7 [SD, 0.4 ] cm, P < .05), more frequent heterogeneous contrast enhancement of solid portions (100% versus 0%, P < .001), more obvious peritumoral edema (mean, [2.1 SD, 0.7] cm versus 0.6 [SD, 0.2] cm, P < .01), and lower mean minimum relative ADC (896 [SD, 86] versus 988 [SD, 73], P < .05) and mean relative ADC (1060 [SD, 159] versus 1248 [SD, 116], P < .05) on DWI. However, there was no significant difference in either conventional or advanced MR imaging features between the wild-type anaplastic pleomorphic xanthoastrocytoma group and the mutant anaplastic pleomorphic xanthoastrocytoma group. CONCLUSIONS Neurosurgeons should carefully interpret MR images before an operation and select appropriate surgical strategies according to genotype prediction.
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Affiliation(s)
- W Huang
- From the Department of Neurosurgery (W.H., J.C., Y.X., H.W., Z.W., D.K.), The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.,The First Clinical Medical College of Fujian Medical University (W.H., J.C., Y.X., H.W., Z.W., D.K.), Fuzhou, Fujian, China
| | - J Cai
- From the Department of Neurosurgery (W.H., J.C., Y.X., H.W., Z.W., D.K.), The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.,The First Clinical Medical College of Fujian Medical University (W.H., J.C., Y.X., H.W., Z.W., D.K.), Fuzhou, Fujian, China
| | - N Lin
- The School of Medical Technology and Engineering (N.L.), Fujian Medical University, Fuzhou, Fujian, China
| | - Y Xu
- From the Department of Neurosurgery (W.H., J.C., Y.X., H.W., Z.W., D.K.), The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.,The First Clinical Medical College of Fujian Medical University (W.H., J.C., Y.X., H.W., Z.W., D.K.), Fuzhou, Fujian, China
| | - H Wang
- From the Department of Neurosurgery (W.H., J.C., Y.X., H.W., Z.W., D.K.), The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.,The First Clinical Medical College of Fujian Medical University (W.H., J.C., Y.X., H.W., Z.W., D.K.), Fuzhou, Fujian, China
| | - Z Wu
- From the Department of Neurosurgery (W.H., J.C., Y.X., H.W., Z.W., D.K.), The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China .,The First Clinical Medical College of Fujian Medical University (W.H., J.C., Y.X., H.W., Z.W., D.K.), Fuzhou, Fujian, China
| | - D Kang
- From the Department of Neurosurgery (W.H., J.C., Y.X., H.W., Z.W., D.K.), The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.,The First Clinical Medical College of Fujian Medical University (W.H., J.C., Y.X., H.W., Z.W., D.K.), Fuzhou, Fujian, China
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20
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Han X, Geng Z, Zhu Q, Song Z, Lv H. Diffusion kurtosis imaging: An efficient tool for evaluating age-related changes in rat brains. Brain Behav 2021; 11:e02136. [PMID: 34559478 PMCID: PMC8613443 DOI: 10.1002/brb3.2136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 11/26/2022] Open
Abstract
PURPOSE To evaluate and determine age-related changes in rat brains by studying the diffusion kurtosis imaging results among different age groups of rats. METHODS Sprague-Dawley (SD) rats underwent conventional magnetic resonance imaging (MRI) and diffusion Kurtosis Imaging (DKI). Two diffusion values of mean kurtosis (MK) and kurtosis (K⊥ ) were measured and analyzed based on laterality, brain regions and age groups. The MK and K⊥ data were plotted against different age groups. RESULTS No laterality was found for the MK or K⊥ values in the cerebral cortex (CT), external capsule (EC), or caudate putamen (CPu) regions. In contrast, significant changes in these values were observed among different age groups. Changes of the MK and K⊥ values were significant in both hemispheres in the EC, the CT, and the CPu brain regions. The changes in the MK and K⊥ values showed a parabolic relationship with ages in all the brain regions. CONCLUSION No laterality in the MK and K⊥ values was observed for the EC, CT, or CPu regions of the rat brain. Significant changes in MK and K⊥ values were both observed among different age groups, thus suggesting diffusion kurtosis imaging as an efficient tool for studying brain aging in rats.
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Affiliation(s)
- Xue‐Fang Han
- Department of Radiologythe Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceP.R. China
| | - Zuo‐Jun Geng
- Department of Radiologythe Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceP.R. China
| | - Qing‐Feng Zhu
- Department of Radiologythe Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceP.R. China
| | - Zhen‐Hu Song
- Department of Radiologythe Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceP.R. China
| | - Huan‐Di Lv
- Department of Radiologythe Second Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceP.R. China
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21
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Bugada MC, Kline JE, Parikh NA. Microstructural Measures of the Inferior Longitudinal Fasciculus Predict Later Cognitive and Language Development in Infants Born With Extremely Low Birth Weight. J Child Neurol 2021; 36:981-989. [PMID: 34187223 PMCID: PMC8458222 DOI: 10.1177/08830738211019862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Extremely preterm children are at high risk for adverse neurodevelopmental outcomes. Identifying predictors of discrete developmental outcomes early in life would allow for targeted neuroprotective therapies when neuroplasticity is at its peak. Our goal was to examine whether diffusion magnetic resonance imaging (MRI) metrics of the inferior longitudinal and uncinate fasciculi early in life could predict later cognitive and language outcomes. STUDY DESIGN In this pilot study, 43 extremely low-birth-weight preterm infants were scanned using diffusion MRI at term-equivalent age. White matter tracts were assessed via diffusion tensor imaging metrics of fractional anisotropy and mean diffusivity. The Language and Cognitive subscale scores of the Bayley Scales of Infant & Toddler Development-III at 18-22 months corrected age were our outcomes of interest. Multiple linear regression models were created to assess diffusion metrics of the inferior longitudinal and uncinate fasciculi as predictors of Bayley scores. We controlled for brain injury score on structural MRI, maternal education, birth weight, and age at MRI scan. RESULTS Of the 43 infants, 36 infants had high-quality diffusion tensor imaging and returned for developmental testing. The fractional anisotropy of the inferior longitudinal fasciculus was associated with Bayley-III scores in univariate analyses and was an independent predictor of Bayley-III cognitive and language development over and above known predictors in multivariable analyses. CONCLUSIONS Incorporating new biomarkers such as the fractional anisotropy of the inferior longitudinal fasciculus with structural MRI findings could enhance accuracy of neurodevelopment predictive models. Additional research is needed to validate our findings in a larger cohort.
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Affiliation(s)
- Matthew C. Bugada
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Julia E. Kline
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Nehal A. Parikh
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Department of Pediatrics, University of Texas Health Science Center at Houston, Houston, Texas
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22
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Yu Q, Peng Y, Kang H, Peng Q, Ouyang M, Slinger M, Hu D, Shou H, Fang F, Huang H. Differential White Matter Maturation from Birth to 8 Years of Age. Cereb Cortex 2021; 30:2673-2689. [PMID: 31819951 PMCID: PMC7175013 DOI: 10.1093/cercor/bhz268] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/23/2019] [Accepted: 09/17/2019] [Indexed: 12/14/2022] Open
Abstract
Comprehensive delineation of white matter (WM) microstructural maturation from birth to childhood is critical for understanding spatiotemporally differential circuit formation. Without a relatively large sample of datasets and coverage of critical developmental periods of both infancy and early childhood, differential maturational charts across WM tracts cannot be delineated. With diffusion tensor imaging (DTI) of 118 typically developing (TD) children aged 0–8 years and 31 children with autistic spectrum disorder (ASD) aged 2–7 years, the microstructure of every major WM tract and tract group was measured with DTI metrics to delineate differential WM maturation. The exponential model of microstructural maturation of all WM was identified. The WM developmental curves were separated into fast, intermediate, and slow phases in 0–8 years with distinctive time period of each phase across the tracts. Shorter periods of the fast and intermediate phases in certain tracts, such as the commissural tracts, indicated faster earlier development. With TD WM maturational curves as the reference, higher residual variance of WM microstructure was found in children with ASD. The presented comprehensive and differential charts of TD WM microstructural maturation of all major tracts and tract groups in 0–8 years provide reference standards for biomarker detection of neuropsychiatric disorders.
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Affiliation(s)
- Qinlin Yu
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Huiying Kang
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Qinmu Peng
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Minhui Ouyang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michelle Slinger
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Di Hu
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Haochang Shou
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, PA, USA
| | - Fang Fang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.,Key Laboratory of Machine Perception, Peking University, Beijing 100871, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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23
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Functional Network Development in Sagittal Craniosynostosis Treated With Whole Vault Cranioplasty. J Craniofac Surg 2021; 32:1721-1726. [PMID: 33534301 DOI: 10.1097/scs.0000000000007505] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION In this study, the authors seek to clarify the neurological changes before and after whole vault cranioplasty (WVC) in patients born with sagittal craniosynostosis. METHODS A case control study design was performed that included thirty functional MRI scans, from 25 individual patients. Functional MRI and diffusion tension imaging data were analyzed with BioImageSuite (Yale University, USA). 9 functional brain networks were analyzed, with appropriate correlated functional regions of the brain and utilized for analysis. RESULTS Comparing functional MRI the infants after WVC versus infants before WVC group, the after WVC group demonstrated an increased connectivity in the left frontoparietal, secondary (V2), and third (V3) visual networks (P < 0.001). The right frontoparietal (RFPN) had decreased connectivity (P < 0.001). There is also a decrease and increase in anisotropy in the cingulum and precuneus despite surgery, respectively (P < 0.05). Adolescents treated with WVC compared to controls, demonstrated an increased connectivity in the salience and decreased connectivity in the RFPN relative to adolescent controls. CONCLUSIONS Patients born with sagittal craniosynostosis have different connections in infancy in most of the defined cerebral networks compared to controls. After surgery, there are specific connectivity changes that occur in the RFPN, left frontoparietal, V2, and V3 networks, which are areas associated with executive function and emotional control. Changes identified in white matter tract microstructure connections could be influential in changes in functional connectivity. Although, as a child with sagittal craniosynostosis develops, much of the abnormal network connections, seen in infancy preoperatively, corrects to some degree after surgery. However, some aberrancies in the salience and RFPN networks remain potentially affecting executive functioning.
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24
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Kline JE, Illapani VSP, Li H, He L, Yuan W, Parikh NA. Diffuse white matter abnormality in very preterm infants at term reflects reduced brain network efficiency. NEUROIMAGE-CLINICAL 2021; 31:102739. [PMID: 34237685 PMCID: PMC8378797 DOI: 10.1016/j.nicl.2021.102739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/28/2021] [Accepted: 06/21/2021] [Indexed: 01/23/2023]
Abstract
Most preterm infants exhibit regions of high signal
intensity on T2 MRI at term. Debate remains as to whether this signal (DWMA) is
pathological. We quantified DWMA and used graph theory to measure
brain network efficiency. Whole-brain and regional network efficiency at term
decreased with greater DWMA. DWMA in very preterm infants is associated with
reduced brain efficiency at term.
Between 50 and 80% of very preterm infants (<32 weeks
gestational age) exhibit increased white matter signal intensity on T2-weighted
MRI at term-equivalent age, known as diffuse white matter abnormality (DWMA). A
few studies have linked DWMA with microstructural abnormalities, but the exact
relationship remains poorly understood. We related DWMA extent to graph theory
measures of network efficiency at term in a representative cohort of 343 very
preterm infants. We performed anatomic and diffusion MRI at term and quantified
DWMA volume with our novel, semi-automated algorithm. From diffusion-weighted
structural connectomes, we calculated the graph theory metrics local efficiency
and clustering coefficient, which measure the ability of groups of nodes to
perform specialized processing, and global efficiency, which assesses the
ability of brain regions to efficiently combine information. We computed partial
correlations between these measures and DWMA volume, adjusted for confounders.
Increasing DWMA volume was associated with decreased global efficiency of the
entire very preterm brain and decreased local efficiency and clustering
coefficient in a variety of regions supporting cognitive, linguistic, and motor
function. We show that DWMA is associated with widespread decreased brain
network efficiency, suggesting that it is pathologic and likely has adverse
developmental consequences.
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Affiliation(s)
- Julia E Kline
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | | | - Hailong Li
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Lili He
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Weihong Yuan
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Nehal A Parikh
- Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States; Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
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25
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Development of human white matter pathways in utero over the second and third trimester. Proc Natl Acad Sci U S A 2021; 118:2023598118. [PMID: 33972435 PMCID: PMC8157930 DOI: 10.1073/pnas.2023598118] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
During the second and third trimesters of human gestation, rapid neurodevelopment is underpinned by fundamental processes including neuronal migration, cellular organization, cortical layering, and myelination. In this time, white matter growth and maturation lay the foundation for an efficient network of structural connections. Detailed knowledge about this developmental trajectory in the healthy human fetal brain is limited, in part, due to the inherent challenges of acquiring high-quality MRI data from this population. Here, we use state-of-the-art high-resolution multishell motion-corrected diffusion-weighted MRI (dMRI), collected as part of the developing Human Connectome Project (dHCP), to characterize the in utero maturation of white matter microstructure in 113 fetuses aged 22 to 37 wk gestation. We define five major white matter bundles and characterize their microstructural features using both traditional diffusion tensor and multishell multitissue models. We found unique maturational trends in thalamocortical fibers compared with association tracts and identified different maturational trends within specific sections of the corpus callosum. While linear maturational increases in fractional anisotropy were seen in the splenium of the corpus callosum, complex nonlinear trends were seen in the majority of other white matter tracts, with an initial decrease in fractional anisotropy in early gestation followed by a later increase. The latter is of particular interest as it differs markedly from the trends previously described in ex utero preterm infants, suggesting that this normative fetal data can provide significant insights into the abnormalities in connectivity which underlie the neurodevelopmental impairments associated with preterm birth.
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26
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Zhao X, Shi J, Dai F, Wei L, Zhang B, Yu X, Wang C, Zhu W, Wang H. Brain Development From Newborn to Adolescence: Evaluation by Neurite Orientation Dispersion and Density Imaging. Front Hum Neurosci 2021; 15:616132. [PMID: 33790750 PMCID: PMC8005551 DOI: 10.3389/fnhum.2021.616132] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/22/2021] [Indexed: 11/15/2022] Open
Abstract
Neurite orientation dispersion and density imaging (NODDI) is a diffusion model specifically designed for brain magnetic resonance imaging. Despite recent studies suggesting that NODDI modeling might be more sensitive to brain development than diffusion tensor imaging (DTI), these studies were limited to a relatively small age range and mainly based on the manually operated region of interest analysis. Therefore, this study applied NODDI to investigate brain development in a large sample size of 214 subjects ranging in ages from 0 to 14. The whole brain was automatically segmented into 122 regions. The maturation trajectory of each region was characterized by the time course of diffusion metrics and further quantified using nonlinear regression. The NODDI-derived metrics, neurite density index (NDI) and orientation dispersion index (ODI), increased with age. And these two metrics were superior to the DTI-derived metrics in SVM regression models of age. The NDI in white matter exhibited a more rapid growth than that in gray matter (including the cortex and deep nucleus). These diffusion indicators experienced conspicuous increases during early childhood and the growth speed slowed down in adolescence. Region-specific maturation patterns were described throughout the brain, including white matter, cortical and deep gray matter. These development patterns were evaluated and discussed on the basis of NODDI’s model assumptions. To summarize, this study verified the high sensitivity of NODDI to age over a crucial developmental period from newborn to adolescence. Moreover, the existing knowledge of brain development has been complemented, suggesting that NODDI has a potential capability in the investigation of brain development.
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Affiliation(s)
- Xueying Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Jingjing Shi
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Dai
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Lei Wei
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Boyu Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Xuchen Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Chengyan Wang
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China
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27
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Myelin development in visual scene-network tracts beyond late childhood: A multimethod neuroimaging study. Cortex 2021; 137:18-34. [PMID: 33588130 DOI: 10.1016/j.cortex.2020.12.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 07/30/2020] [Accepted: 12/14/2020] [Indexed: 12/15/2022]
Abstract
The visual scene-network-comprising the parahippocampal place area (PPA), retrosplenial cortex (RSC), and occipital place area (OPA)-shows a prolonged functional development. Structural development of white matter that underlies the scene-network has not been investigated despite its potential influence on scene-network function. The key factor for white matter maturation is myelination. However, research on myelination using the gold standard method of post-mortem histology is scarce. In vivo alternatives diffusion-weighted imaging (DWI) and myelin water imaging (MWI) so far report broad-scale findings that prohibit inferences concerning the scene-network. Here, we combine MWI, DWI tractography, and fMRI to investigate myelination in scene-network tracts in middle childhood, late childhood, and adulthood. We report increasing myelin from middle childhood to adulthood in right PPA-OPA, and trends towards increases in the left and right RSC-OPA tracts. Investigating tracts to regions highly connected with the scene-network, such as early visual cortex and the hippocampus, did not yield any significant age group differences. Our findings indicate that structural development coincides with functional development in the scene-network, possibly enabling structure-function interactions.
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28
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Shafer AT, Benoit JR, Brown MRG, Greenshaw AJ, Van Vliet KJ, Vohra S, Dolcos F, Singhal A. Differences in attentional control and white matter microstructure in adolescents with attentional, affective, and behavioral disorders. Brain Imaging Behav 2021; 14:599-614. [PMID: 31838614 DOI: 10.1007/s11682-019-00211-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Adolescence is a critical time of physiological, cognitive, and social development. It is also a time of increased risk-taking and vulnerability for psychopathology. White matter (WM) changes during adolescence have been better elucidated in the last decade, but how WM is impacted by psychopathology during this time remains unclear. Here, we examined the link between WM microstructure and psychopathology during adolescence. Twenty youth diagnosed with affective, attentional, and behavioral disorders (clinical sample), and 20 age-matched controls were recruited to examine group differences in WM microstructure, attentional control, and the link between them. The main results showed that clinical sample had relatively lower attentional control and fractional anisotropy (FA) in WM throughout the brain: two association tracts were identified, and many differences were found in areas rich in callosal and projection fibers. Moreover, increased FA was positively associated with attention performance in the clinical sample in structures supporting ventral WM pathways, whereas a similar link was identified in controls in dorsal WM association fibers. Overall, these results support a model of general impairment in WM microstructure combined with reliance on altered, perhaps less efficient, pathways for attentional control in youth with affective, attentional, and behavioral disorders.
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Affiliation(s)
- Andrea T Shafer
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA.
| | - James R Benoit
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Matthew R G Brown
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Andy J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - K Jessica Van Vliet
- Department of Educational Psychology, University of Alberta, Edmonton, AB, Canada
| | - Sunita Vohra
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.,Departments of Pediatrics and Medicine, University of Alberta, Edmonton, AB, Canada
| | - Florin Dolcos
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.,Psychology Department and Neuroscience Program, University of Illinois, Urbana-Champaign, IL, USA.,Beckman Institute for Advanced Science & Technology, University of Illinois, Urbana-Champaign, IL, USA
| | - Anthony Singhal
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada. .,Department of Psychology, University of Alberta, Edmonton, AB, Canada.
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29
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Ouyang M, Peng Q, Jeon T, Heyne R, Chalak L, Huang H. Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds. eLife 2020; 9:58116. [PMID: 33350380 PMCID: PMC7755384 DOI: 10.7554/elife.58116] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 12/06/2020] [Indexed: 12/11/2022] Open
Abstract
Cerebral cortical architecture at birth encodes regionally differential dendritic arborization and synaptic formation. It underlies behavioral emergence of 2-year-olds. Brain changes in 0-2 years are most dynamic across the lifespan. Effective prediction of future behavior with brain microstructure at birth will reveal structural basis of behavioral emergence in typical development and identify biomarkers for early detection and tailored intervention in atypical development. Here we aimed to evaluate the neonate whole-brain cortical microstructure quantified by diffusion MRI for predicting future behavior. We found that individual cognitive and language functions assessed at the age of 2 years were robustly predicted by neonate cortical microstructure using support vector regression. Remarkably, cortical regions contributing heavily to the prediction models exhibited distinctive functional selectivity for cognition and language. These findings highlight regional cortical microstructure at birth as a potential sensitive biomarker in predicting future neurodevelopmental outcomes and identifying individual risks of brain disorders.
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Affiliation(s)
- Minhui Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, United States
| | - Qinmu Peng
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Tina Jeon
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, United States
| | - Roy Heyne
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, United States
| | - Lina Chalak
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, United States
| | - Hao Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
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30
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Huynh KM, Xu T, Wu Y, Wang X, Chen G, Wu H, Thung KH, Lin W, Shen D, Yap PT. Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:3607-3618. [PMID: 32746109 PMCID: PMC7688284 DOI: 10.1109/tmi.2020.3001175] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
During the first years of life, the human brain undergoes dynamic spatially-heterogeneous changes, invo- lving differentiation of neuronal types, dendritic arbori- zation, axonal ingrowth, outgrowth and retraction, synaptogenesis, and myelination. To better quantify these changes, this article presents a method for probing tissue microarchitecture by characterizing water diffusion in a spectrum of length scales, factoring out the effects of intra-voxel orientation heterogeneity. Our method is based on the spherical means of the diffusion signal, computed over gradient directions for a set of diffusion weightings (i.e., b -values). We decompose the spherical mean profile at each voxel into a spherical mean spectrum (SMS), which essentially encodes the fractions of spin packets undergoing fine- to coarse-scale diffusion proce- sses, characterizing restricted and hindered diffusion stemming respectively from intra- and extra-cellular water compartments. From the SMS, multiple orientation distribution invariant indices can be computed, allowing for example the quantification of neurite density, microscopic fractional anisotropy ( μ FA), per-axon axial/radial diffusivity, and free/restricted isotropic diffusivity. We show that these indices can be computed for the developing brain for greater sensitivity and specificity to development related changes in tissue microstructure. Also, we demonstrate that our method, called spherical mean spectrum imaging (SMSI), is fast, accurate, and can overcome the biases associated with other state-of-the-art microstructure models.
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31
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Mini-Basketball Training Program Improves Social Communication and White Matter Integrity in Children with Autism. Brain Sci 2020; 10:brainsci10110803. [PMID: 33142694 PMCID: PMC7693206 DOI: 10.3390/brainsci10110803] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 10/26/2020] [Accepted: 10/29/2020] [Indexed: 12/27/2022] Open
Abstract
Impairments in social communication (SC) represent one of the core symptoms of autism spectrum disorder (ASD). While previous studies have demonstrated that exercise intervention improves SC in children with ASD, there is currently no neuroscientific evidence supporting its benefits. Therefore, we evaluated the outcomes of a long-term exercise intervention on SC and white matter integrity (WMI) in children with ASD, and further explored the neural mechanism of exercise intervention on SC in these children. Twenty-nine children aged 3–6 years with ASD were assigned to either exercise group (n = 15) or control group (n = 14). The exercise group received a scheduled mini-basketball training program (5 sessions per week, forty minutes per session) for 12 consecutive weeks, while the control group was instructed to maintain their daily activities. Groups were assessed before and after intervention on SC and WMI. SC scores were lower in the exercise group post-intervention. Compared with the control group, WMI of the exercise group showed higher fractional anisotropy in the body of corpus callosum, fornix, right cerebral peduncle, left posterior limb of internal capsule, right retrolenticular part of internal capsule, left anterior corona radiate and left superior fronto-occipital fasciculus; lower mean diffusivity in the left anterior corona radiate and the bilateral corticospinal tract. Furthermore, increased WMI was associated with lower scores on a measure of social cognition in the overall sample. This study is the first to provide evidence that exercise intervention improves SC and white matter integrity in children with autism.
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Dowe KN, Planalp EM, Dean DC, Alexander AL, Davidson RJ, Goldsmith HH. Early microstructure of white matter associated with infant attention. Dev Cogn Neurosci 2020; 45:100815. [PMID: 32658763 PMCID: PMC7358182 DOI: 10.1016/j.dcn.2020.100815] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/13/2020] [Accepted: 07/01/2020] [Indexed: 12/17/2022] Open
Abstract
Early infancy is characterized by rapid brain development that occurs alongside, and in response to, the development of cognitive and behavioral functions, including attention. Infants' ability to orient and sustain attention to stimuli develops in concert with refinement of the orienting network in frontoparietal regions of the brain. Infants (n = 97) underwent magnetic resonance imaging at one-month of age and data were fit to a diffusion tensor imaging model to calculate fractional anisotropy (FA) and radial diffusivity (RD), as well as to a neurite orientation dispersion and density imaging model to calculate intracellular volume fraction (νic). Infant attention was assessed at six months of age using a dynamic puppet task (Cuevas and Bell, 2014). Infants with higher FA in the corpus callosum and anterior cingulum showed increased orienting behaviors. Our findings indicate that increased microstructure of the white matter tracts in the orienting network may play a role in the early neurodevelopment of attentional orienting behaviors.
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Affiliation(s)
- Kristin N Dowe
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States.
| | - Elizabeth M Planalp
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States; University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States.
| | - Douglas C Dean
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States; University of Wisconsin-Madison, Department of Medical Physics, 1111 Highland Ave, Madison, WI, 53705 United States.
| | - Andrew L Alexander
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States; University of Wisconsin-Madison, Department of Medical Physics, 1111 Highland Ave, Madison, WI, 53705 United States.
| | - Richard J Davidson
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States; University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States; University of Wisconsin-Madison, Center for Healthy Minds, 625 W Washington Ave, Madison, WI, 53703 United States.
| | - H Hill Goldsmith
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States; University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States.
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Wu D, Chang L, Ernst TM, Caffo BS, Oishi K. Developmental score of the infant brain: characterizing diffusion MRI in term- and preterm-born infants. Brain Struct Funct 2020; 225:2431-2445. [PMID: 32804327 DOI: 10.1007/s00429-020-02132-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/10/2020] [Indexed: 10/23/2022]
Abstract
Large-scale longitudinal neuroimaging studies of the infant brain allow us to map the spatiotemporal development of the brain in its early phase. While the postmenstrual age (PMA) is commonly used as a time index to analyze longitudinal MRI data, the nonlinear relationship between PMA and MRI data imposes challenges for downstream analyses. We propose a mathematical model that provides a Developmental Score (DevS) as a data-driven time index to characterize the brain development based on MRI features. 319 diffusion tensor imaging (DTI) datasets were collected from 87 term-born and 66 preterm-born infants at multiple visits, which were automatically segmented based on the JHU neonatal atlas. The mean diffusivity (MD) and fractional anisotropy (FA) in 126 brain parcels were used in the model to derive DevS. We demonstrate that transforming the time index from PMA to DevS improves the linearity of the longitudinal changes in MD and FA in both gray and white matter structures. More importantly, regional developmental differences in DTI metrics between preterm- and term-born infants were identified more clearly using DevS, e.g. 79 structures showed significantly different regression patterns in MD between preterm- and term-born infants, compared to only 27 structures that showed group differences using PMA as the index. Therefore, the DevS model facilitates linear analyses of DTI metrics in the infant brain, and provides a useful tool to characterize altered brain development due to preterm-birth.
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Affiliation(s)
- Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Linda Chang
- Departments of Diagnostic Radiology and Nuclear Medicine, and Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas M Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Brian S Caffo
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kenichi Oishi
- Russell H. Morgan Department of Radiology, Johns Hopkins University School of Medicine, Traylor 217, 720 Rutland Ave, Baltimore, MD, 21215, USA.
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Hooker JD, Khan MA, Farkas AB, Lirette ST, Joyner DA, Gordy DP, Storrs JM, Roda MS, Bofill JA, Smith AD, James JR. Third-trimester in utero fetal brain diffusion tensor imaging fiber tractography: a prospective longitudinal characterization of normal white matter tract development. Pediatr Radiol 2020; 50:973-983. [PMID: 32399686 DOI: 10.1007/s00247-020-04639-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/30/2019] [Accepted: 02/11/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND White matter is responsible for inter-neuronal connections throughout the brain that are a driving force in cognitive development. Diffusion tensor imaging (DTI) fiber tractography has been used to evaluate white matter development in the fetal brain; however, longitudinal studies of DTI fiber tractography to assess white matter development in the third trimester are lacking. OBJECTIVE To characterize in utero longitudinal changes in the fetal brain DTI fiber tracts of normal third-trimester fetuses. MATERIALS AND METHODS For this single-center prospective longitudinal observational pilot study, we recruited 28 pregnant females with normal third-trimester pregnancies who had routine prenatal ultrasound. MRI of the in utero fetal brain was performed with a Siemens 1.5-tesla (T) Espree scanner at 31 weeks, 33 weeks and 36 weeks of gestation, with 14 DTI tractography parameters quantified in 7 brain regions using DTI-studio version 2.4 (Johns Hopkins University, Baltimore, MD; n=98 measurements). We used multilevel mixed models to examine the relationship between longitudinal changes in DTI measurements and between 98 DTI measurements at 31 weeks and 4 routine fetal brain anatomical biometrics (n=392 assessments). RESULTS We observed statistically significant decreases in radial diffusivity and apparent diffusion coefficient in 13 of 14 brain regions from 31 weeks to 36 weeks of gestation (P<0.001 for all regions except the genu of the corpus callosum). Significant decreases in radial diffusivity from weeks 33 to 36 and weeks 31 to 36 were seen in the corticospinal tracts, centrum semiovale, posterior limb of the internal capsule, and crus cerebri (P<0.001 for all). When considering all possible combinations of DTI fiber tract measurements and the routine morphological fetal brain biometrics, only 6% (24/392) had a significant association (P<0.05), indicating relative independence of the DTI fiber tract measurements from anatomical biometrics. CONCLUSION In utero longitudinal changes in fetal brain DTI fiber tractography are quantifiable in normal third-trimester fetuses and are largely independent of morphological brain changes.
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Affiliation(s)
- Jeffrey D Hooker
- Department of Radiology, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA.
| | - Majid A Khan
- Department of Radiology, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Amy B Farkas
- Department of Radiology, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA
| | - Seth T Lirette
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - David A Joyner
- Department of Radiology, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA
| | - David P Gordy
- Department of Radiology, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA
| | - Judd M Storrs
- Department of Radiology, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA
| | - Manohar S Roda
- Department of Radiology, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS, 39216, USA
| | - James A Bofill
- Department of Obstetrics and Gynecology, University of Mississippi Medical Center, Jackson, MS, USA
| | - Andrew D Smith
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Judy R James
- Department of Radiology and Imaging Sciences, Indiana University Health University Hospital, Indianapolis, IN, USA
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Wang X, Cuzon Carlson VC, Studholme C, Newman N, Ford MM, Grant KA, Kroenke CD. In utero MRI identifies consequences of early-gestation alcohol drinking on fetal brain development in rhesus macaques. Proc Natl Acad Sci U S A 2020; 117:10035-10044. [PMID: 32312804 PMCID: PMC7211988 DOI: 10.1073/pnas.1919048117] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
One factor that contributes to the high prevalence of fetal alcohol spectrum disorder (FASD) is binge-like consumption of alcohol before pregnancy awareness. It is known that treatments are more effective with early recognition of FASD. Recent advances in retrospective motion correction for the reconstruction of three-dimensional (3D) fetal brain MRI have led to significant improvements in the quality and resolution of anatomical and diffusion MRI of the fetal brain. Here, a rhesus macaque model of FASD, involving oral self-administration of 1.5 g/kg ethanol per day beginning prior to pregnancy and extending through the first 60 d of a 168-d gestational term, was utilized to determine whether fetal MRI could detect alcohol-induced abnormalities in brain development. This approach revealed differences between ethanol-exposed and control fetuses at gestation day 135 (G135), but not G110 or G85. At G135, ethanol-exposed fetuses had reduced brainstem and cerebellum volume and water diffusion anisotropy in several white matter tracts, compared to controls. Ex vivo electrophysiological recordings performed on fetal brain tissue obtained immediately following MRI demonstrated that the structural abnormalities observed at G135 are of functional significance. Specifically, spontaneous excitatory postsynaptic current amplitudes measured from individual neurons in the primary somatosensory cortex and putamen strongly correlated with diffusion anisotropy in the white matter tracts that connect these structures. These findings demonstrate that exposure to ethanol early in gestation perturbs development of brain regions associated with motor control in a manner that is detectable with fetal MRI.
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Affiliation(s)
- Xiaojie Wang
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97214
| | - Verginia C Cuzon Carlson
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239
| | - Colin Studholme
- Biomedical Image Computing Group, Department of Pediatrics, University of Washington, Seattle, WA 98105
- Department of Bioengineering, University of Washington, Seattle, WA 98105
- Department of Radiology, University of Washington, Seattle, WA 98105
| | - Natali Newman
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
| | - Matthew M Ford
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
| | - Kathleen A Grant
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239
| | - Christopher D Kroenke
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006;
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97214
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239
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Abstract
Significant advances in the field of neonatal imaging has resulted in the generation of large complex data sets of relevant information for routine daily clinical practice, and basic and translational research. The evaluation of this data is a complex task for the neonatal imager who must distinguish normal and incidental findings from clinically significant abnormalities which are often adjunctive data points applicable to clinical evaluation and treatment. This review provides an overview of the imaging manifestations of disease processes commonly encountered in the neonatal brain. Since MRI is currently the highest yield technique for the diagnosis and characterization of the normal and abnormal brain, it is therefore the focus of the majority of this review. When applicable, discussion of some of the pertinent known pathophysiology and neuropathological aspects of disease processes are reviewed.
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Bulgarelli C, de Klerk CCJM, Richards JE, Southgate V, Hamilton A, Blasi A. The developmental trajectory of fronto-temporoparietal connectivity as a proxy of the default mode network: a longitudinal fNIRS investigation. Hum Brain Mapp 2020; 41:2717-2740. [PMID: 32128946 PMCID: PMC7294062 DOI: 10.1002/hbm.24974] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 02/12/2020] [Accepted: 02/18/2020] [Indexed: 12/18/2022] Open
Abstract
The default mode network (DMN) is a network of brain regions that is activated while we are not engaged in any particular task. While there is a large volume of research documenting functional connectivity within the DMN in adults, knowledge of the development of this network is still limited. There is some evidence for a gradual increase in the functional connections within the DMN during the first 2 years of life, in contrast to other functional resting‐state networks that support primary sensorimotor functions, which are online from very early in life. Previous studies that investigated the development of the DMN acquired data from sleeping infants using fMRI. However, sleep stages are known to affect functional connectivity. In the current longitudinal study, fNIRS was used to measure spontaneous fluctuations in connectivity within fronto‐temporoparietal areas—as a proxy for the DMN—in awake participants every 6 months from 11 months till 36 months. This study validates a method for recording resting‐state data from awake infants, and presents a data analysis pipeline for the investigation of functional connections with infant fNIRS data, which will be beneficial for researchers in this field. A gradual development of fronto‐temporoparietal connectivity was found, supporting the idea that the DMN develops over the first years of life. Functional connectivity reached its maximum peak at about 24 months, which is consistent with previous findings showing that, by 2 years of age, DMN connectivity is similar to that observed in adults.
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Affiliation(s)
- Chiara Bulgarelli
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK
| | - Carina C J M de Klerk
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK.,Department of Psychology, University of Essex, Colchester, UK
| | - John E Richards
- Institute for Mind and Brain, Department of Psychology, University of South Carolina, Columbia, South Carolina
| | | | - Antonia Hamilton
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Anna Blasi
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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Breastfeeding Duration Is Associated with Regional, but Not Global, Differences in White Matter Tracts. Brain Sci 2019; 10:brainsci10010019. [PMID: 31905875 PMCID: PMC7016985 DOI: 10.3390/brainsci10010019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 12/09/2019] [Accepted: 12/23/2019] [Indexed: 01/19/2023] Open
Abstract
Extended breastfeeding through infancy confers benefits on neurocognitive performance and intelligence tests, though few have examined the biological basis of these effects. To investigate correlations with breastfeeding, we examined the major white matter tracts in 4–8 year-old children using diffusion tensor imaging and volumetric measurements of the corpus callosum. We found a significant correlation between the duration of infant breastfeeding and fractional anisotropy scores in left-lateralized white matter tracts, including the left superior longitudinal fasciculus and left angular bundle, which is indicative of greater intrahemispheric connectivity. However, in contrast to expectations from earlier studies, no correlations were observed with corpus callosum size, and thus no correlations were observed when using such measures of global interhemispheric white matter connectivity development. These findings suggest a complex but significant positive association between breastfeeding duration and white matter connectivity, including in pathways known to be functionally relevant for reading and language development.
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Bruckert L, Shpanskaya K, McKenna ES, Borchers LR, Yablonski M, Blecher T, Ben-Shachar M, Travis KE, Feldman HM, Yeom KW. Age-Dependent White Matter Characteristics of the Cerebellar Peduncles from Infancy Through Adolescence. THE CEREBELLUM 2019; 18:372-387. [PMID: 30637673 DOI: 10.1007/s12311-018-1003-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Cerebellum-cerebrum connections are essential for many motor and cognitive functions and cerebellar disorders are prevalent in childhood. The middle (MCP), inferior (ICP), and superior cerebellar peduncles (SCP) are the major white matter pathways that permit communication between the cerebellum and the cerebrum. Knowledge about the microstructural properties of these cerebellar peduncles across childhood is limited. Here, we report on a diffusion magnetic resonance imaging tractography study to describe age-dependent characteristics of the cerebellar peduncles in a cross-sectional sample of infants, children, and adolescents from newborn to 17 years of age (N = 113). Scans were collected as part of clinical care; participants were restricted to those whose scans showed no abnormal findings and whose history and exam had no risk factors for cerebellar abnormalities. A novel automated tractography protocol was applied. Results showed that mean tract-FA increased, while mean tract-MD decreased from infancy to adolescence in all peduncles. Rapid changes were observed in both diffusion measures in the first 24 months of life, followed by gradual change at older ages. The shape of the tract profiles was similar across ages for all peduncles. These data are the first to characterize the variability of diffusion properties both across and within cerebellar white matter pathways that occur from birth through later adolescence. The data represent a rich normative data set against which white matter alterations seen in children with posterior fossa conditions can be compared. Ultimately, the data will facilitate the identification of sensitive biomarkers of cerebellar abnormalities.
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Affiliation(s)
- Lisa Bruckert
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Katie Shpanskaya
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Emily S McKenna
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Lauren R Borchers
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Maya Yablonski
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Tal Blecher
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Michal Ben-Shachar
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel.,Department of English Literature and Linguistics, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Katherine E Travis
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Heidi M Feldman
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA, 94305, USA
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Role of diffusion weighted imaging for differentiating cerebral pilocytic astrocytoma and ganglioglioma BRAF V600E-mutant from wild type. Neuroradiology 2019; 62:71-80. [PMID: 31667545 DOI: 10.1007/s00234-019-02304-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 10/03/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE BRAF V600E mutation is a distinctive genomic alteration of pediatric low-grade gliomas with prognostic and therapeutic implications. The aim of this retrospective multicenter study was to analyze imaging features of BRAF V600E-mutant and wild-type cerebral pilocytic astrocytomas (PAs) and gangliogliomas (GGs), focusing on the role of diffusion weighted imaging (DWI). METHODS We retrospectively evaluated 56 pediatric patients with histologically proven, treatment-naïve PAs and GGs who underwent conventional MRI, DWI, and molecular analysis for BRAF V600E mutation. Twenty-three subjects presented BRAF V600E-mutant (12 PAs and 11 GGs) and 33 BRAF V600E wild-type (26 PAs and 7 GGs) tumors. Imaging studies were reviewed for dominant site, margin definition, hemorrhage, calcification, cystic components, contrast enhancement, and relative mean and minimum ADC values (rADCmean and rADCmin). Statistics included Fisher's exact test, Student t test, general linear model, and receiver operating characteristic (ROC) analysis. RESULTS PA and GG BRAF V600E-mutant had significantly lower rADCmean (p < 0.001) and rADCmin (p < 0.001) values than wild type, regardless of tumor histology and location. ROC analysis demonstrated similar performances between these parameters in predicting BRAF V600E status (rADCmean: AUC 0.831, p < 0.001; rADCmin: AUC 0.885, p < 0.001). No significant differences regarding additional imaging features emerged between BRAF V600E-mutant and wild-type lesions, with the exception of the number of tumors with cystic components, significantly higher in BRAF V600E-mutant PAs (p = 0.011) CONCLUSION: Assessment of the DWI characteristics of GGs and PAs may assist in predicting BRAF V600E status, suggesting a radiogenomic correlation and prompt molecular characterization of these tumors.
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Shi J, Yang S, Wang J, Huang S, Yao Y, Zhang S, Zhu W, Shao J. Detecting normal pediatric brain development with diffusional kurtosis imaging. Eur J Radiol 2019; 120:108690. [PMID: 31605964 DOI: 10.1016/j.ejrad.2019.108690] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 09/24/2019] [Indexed: 11/30/2022]
Abstract
PURPOSE To characterise the pattern of change of diffusional kurtosis imaging (DKI) parameters (including kurtosis and diffusion parameters) in both white matter and gray matter in normal brain development with a large sample of subjects from term-born neonates to 14-years old children. METHODS Two hundred and eighteen normal children (136 male, 82 female) underwent conventional magnetic resonance imaging and DKI. Regions of interest (ROIs) were placed in 7 white matter areas and 4 gray matter areas. Then the DKI-derived parameters were automatically calculated, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da), radial diffusivity (Dr), mean kurtosis (MK), axial kurtosis (Ka) and radial kurtosis (Kr). The correlation between the DKI parameters and ages were analyzed using nonlinear fit, and the rate of parameter change was computed compared to the baseline value of the neonates. RESULTS For all ROIs in the white matter and gray matter, the FA, MK, Kr, Ka values increased with age, while the MD and Dr values decreased with age. The correlations were good to excellent, which changed rapidly within the first 2 years and relatively slowly after 2 years. The Da values in peripheral white matters and some gray matter structures (caudate nucleus and putamen) decreased with age. The amplitude of kurtosis parameters variation was greater than that of the diffusion parameters in both white matter and gray matter. CONCLUSIONS The DKI parameters correlated well with age, and kurtosis parameters showed a potential advantage in detecting the normal brain development of children.
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Affiliation(s)
- Jingjing Shi
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaowei Yang
- Department of Radiology, Children's Hospital, Wuhan, China
| | - Jian Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sui Huang
- Department of Radiology, Children's Hospital, Wuhan, China
| | - Yihao Yao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shun Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Jianbo Shao
- Department of Radiology, Children's Hospital, Wuhan, China.
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Medulloblastoma in childhood: What effects on neurocognitive functions? Cancer Radiother 2019; 23:370-377. [DOI: 10.1016/j.canrad.2018.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 11/13/2018] [Accepted: 11/20/2018] [Indexed: 11/23/2022]
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What is the Functional Difference Between Sagittal With Metopic and Isolated Sagittal Craniosynotosis? J Craniofac Surg 2019; 30:968-973. [DOI: 10.1097/scs.0000000000005288] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Jaju A, Rychlik K, Ryan ME. MRI of Pediatric Orbital Masses: Role of Quantitative Diffusion-weighted Imaging in Differentiating Benign from Malignant Lesions. Clin Neuroradiol 2019; 30:615-624. [PMID: 31134316 DOI: 10.1007/s00062-019-00790-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 04/30/2019] [Indexed: 01/23/2023]
Abstract
PURPOSE To systematically evaluate the utility of different magnetic resonance imaging (MRI) features, including quantitative diffusion-weighted imaging, in differentiating benign from malignant pediatric orbital masses. METHODS The use of MRI in 40 pediatric patients with orbital masses was retrospectively reviewed. Multiple subjective and objective MRI parameters, including lesion mean apparent diffusion coefficient (ADC) values and lesion-to-thalamus ADC ratio were recorded. Bivariate analysis was done to identify parameters that were significantly different between benign and malignant subgroups. Receiver operating curves were used to establish optimal cut-off values for lesion mean ADC and lesion-to-thalamus ADC ratio for predicting benign versus malignant lesions. RESULTS Lesion mean ADC, lesion-to-thalamus ADC ratio and extent of contrast enhancement showed statistically significant differences between the two subgroups. For distinguishing benign from malignant lesions, a lesion mean ADC cut-off value of 1.14 × 10-3 mm2/s provided a sensitivity of 84% and specificity of 100%, while an ADC ratio of 1.4 provided a sensitivity of 81% and specificity of 89%. CONCLUSION Quantitative diffusion-weighted imaging can be a useful adjunct in characterizing pediatric orbital masses by MRI, and thus help in clinical decision making.
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Affiliation(s)
- Alok Jaju
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, 225 E. Chicago Ave, 60611, Chicago, IL, USA.
| | - Karen Rychlik
- Stanley Manne Children's Research Institute, Ann and Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, 225 E. Chicago Ave, 60611, Chicago, IL, USA
| | - Maura E Ryan
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, 225 E. Chicago Ave, 60611, Chicago, IL, USA
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45
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Breu M, Reisinger D, Tao L, Wu D, Zhang Y, Budde MD, Fatemi A, Pathak AP, Zhang J. In vivo high-resolution diffusion tensor imaging of the developing neonatal rat cortex and its relationship to glial and dendritic maturation. Brain Struct Funct 2019; 224:1815-1829. [PMID: 31011813 DOI: 10.1007/s00429-019-01878-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 04/11/2019] [Indexed: 12/25/2022]
Abstract
Diffusion tensor imaging (DTI) is increasingly utilized as a sensitive tool for studying brain maturation and injuries during the neonatal period. In this study, we acquired high resolution in vivo DTI data from neonatal rat brains from postnatal day 2 (P2) to P10 and correlated temporal changes in DTI derived markers with microstructural organization of glia, axons, and dendrites during this critical period of brain development. Group average images showed dramatic temporal changes in brain morphology, fractional anisotropy (FA) and mean diffusivity (MD). Most cortical regions showed a monotonous decline in FA and an initial increase in MD from P2 to P8 that declined slightly by P10. Qualitative histology revealed rapid maturation of the glial and dendritic networks in the developing cortex. In the cingulate and motor cortex, the decreases in FA over time significantly correlated with structural anisotropy values computed from histological sections stained with glial and dendritic markers. However, in the sensory and visual cortex, other factors probably contributed to the observed decreases in FA. We did not observe any significant correlations between FA and structural anisotropy computed from the axonal histological marker.
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Affiliation(s)
- Markus Breu
- Division of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Dominik Reisinger
- Division of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Liangcheng Tao
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dan Wu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yajing Zhang
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Matthew D Budde
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Ali Fatemi
- Division of Neurogenetics, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Arvind P Pathak
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jiangyang Zhang
- Department of Radiology, New York University School of Medicine, 660 First Avenue, Room 207, New York, NY, 10016, USA.
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46
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Borchers LR, Bruckert L, Dodson CK, Travis KE, Marchman VA, Ben-Shachar M, Feldman HM. Microstructural properties of white matter pathways in relation to subsequent reading abilities in children: a longitudinal analysis. Brain Struct Funct 2019; 224:891-905. [PMID: 30539288 PMCID: PMC6420849 DOI: 10.1007/s00429-018-1813-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 12/04/2018] [Indexed: 01/18/2023]
Abstract
Microstructural properties of white matter pathways are associated with concurrent reading abilities in children. In this longitudinal study, we asked whether properties of white matter pathways at the onset of learning to read would be associated with reading abilities at older ages. Children (N = 37) with a wide range of reading abilities completed standardized measures of language and phonological awareness and diffusion MRI at age 6 years. Mean tract-fractional anisotropy (FA) was extracted from reading-related pathways. At age 8, the same children were re-assessed using a standardized reading measure. Using linear regressions, we examined the contribution of tract-FA at age 6 to reading outcome at age 8, beyond known demographic and pre-literacy predictors of reading. Tract-FA of the left arcuate, left and right superior longitudinal fasciculus (SLF), and left inferior cerebellar peduncle (ICP) made unique contributions to reading outcome after consideration of sex and family history of reading delays. Tract-FA of the left and right SLF and left ICP made unique contributions to reading outcome after the addition of pre-literacy skills. Thus, cerebellar and bilateral cortical pathways represented a network associated with subsequent reading abilities. Early white matter properties may be associated with other neuropsychological functions that predict reading or may influence reading development, independent of reading-related abilities. Tract FA at early stages of learning to read may serve as a biomarker of later reading abilities.
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Affiliation(s)
- Lauren R Borchers
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Medical School Office Building, 1265 Welch Rd, Mail Code 5415, Stanford, 94305, CA, USA
| | - Lisa Bruckert
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Medical School Office Building, 1265 Welch Rd, Mail Code 5415, Stanford, 94305, CA, USA
| | - Cory K Dodson
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Medical School Office Building, 1265 Welch Rd, Mail Code 5415, Stanford, 94305, CA, USA
| | - Katherine E Travis
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Medical School Office Building, 1265 Welch Rd, Mail Code 5415, Stanford, 94305, CA, USA
| | | | - Michal Ben-Shachar
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, 5290002, Ramat Gan, Israel
- Department of English Literature and Linguistics, Bar Ilan University, 5290002, Ramat Gan, Israel
| | - Heidi M Feldman
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Medical School Office Building, 1265 Welch Rd, Mail Code 5415, Stanford, 94305, CA, USA.
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47
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Huber E, Henriques RN, Owen JP, Rokem A, Yeatman JD. Applying microstructural models to understand the role of white matter in cognitive development. Dev Cogn Neurosci 2019; 36:100624. [PMID: 30927705 PMCID: PMC6969248 DOI: 10.1016/j.dcn.2019.100624] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 12/18/2018] [Accepted: 01/29/2019] [Indexed: 11/25/2022] Open
Abstract
Diffusion MRI (dMRI) holds great promise for illuminating the biological changes that underpin cognitive development. The diffusion of water molecules probes the cellular structure of brain tissue, and biophysical modeling of the diffusion signal can be used to make inferences about specific tissue properties that vary over development or predict cognitive performance. However, applying these models to study development requires that the parameters can be reliably estimated given the constraints of data collection with children. Here we collect repeated scans using a typical multi-shell diffusion MRI protocol in a group of children (ages 7-12) and use two popular modeling techniques to examine individual differences in white matter structure. We first assess scan-rescan reliability of model parameters and show that axon water faction can be reliably estimated from a relatively fast acquisition, without applying spatial smoothing or de-noising. We then investigate developmental changes in the white matter, and individual differences that correlate with reading skill. Specifically, we test the hypothesis that previously reported correlations between reading skill and diffusion anisotropy in the corpus callosum reflect increased axon water fraction in poor readers. Both models support this interpretation, highlighting the utility of these approaches for testing specific hypotheses about cognitive development.
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Affiliation(s)
- Elizabeth Huber
- Institute for Learning & Brain Sciences and Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, 98195, United States.
| | - Rafael Neto Henriques
- Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Julia P Owen
- Department of Radiology, University of Washington, Seattle, WA, 98195, United States
| | - Ariel Rokem
- eScience Institute, University of Washington, Seattle, WA, 98195, United States
| | - Jason D Yeatman
- Institute for Learning & Brain Sciences and Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, 98195, United States
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48
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Feng L, Li H, Oishi K, Mishra V, Song L, Peng Q, Ouyang M, Wang J, Slinger M, Jeon T, Lee L, Heyne R, Chalak L, Peng Y, Liu S, Huang H. Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks. Neuroimage 2019; 185:685-698. [PMID: 29959046 PMCID: PMC6289605 DOI: 10.1016/j.neuroimage.2018.06.069] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 05/21/2018] [Accepted: 06/25/2018] [Indexed: 01/24/2023] Open
Abstract
During the 3rd trimester, dramatic structural changes take place in the human brain, underlying the neural circuit formation. The survival rate of premature infants has increased significantly in recent years. The large morphological differences of the preterm brain at 33 or 36 postmenstrual weeks (PMW) from the brain at 40PMW (full term) make it necessary to establish age-specific atlases for preterm brains. In this study, with high quality (1.5 × 1.5 × 1.6 mm3 imaging resolution) diffusion tensor imaging (DTI) data obtained from 84 healthy preterm and term-born neonates, we established age-specific preterm and term-born brain templates and atlases at 33, 36 and 39PMW. Age-specific DTI templates include a single-subject template, a population-averaged template with linear transformation and a population-averaged template with nonlinear transformation. Each of the age-specific DTI atlases includes comprehensive labeling of 126 major gray matter (GM) and white matter (WM) structures, specifically 52 cerebral cortical structures, 40 cerebral WM structures, 22 brainstem and cerebellar structures and 12 subcortical GM structures. From 33 to 39 PMW, dramatic morphological changes of delineated individual neural structures such as ganglionic eminence and uncinate fasciculus were revealed. The evaluation based on measurements of Dice ratio and L1 error suggested reliable and reproducible automated labels from the age-matched atlases compared to labels from manual delineation. Applying these atlases to automatically and effectively delineate microstructural changes of major WM tracts during the 3rd trimester was demonstrated. The established age-specific DTI templates and atlases of 33, 36 and 39 PMW brains may be used for not only understanding normal functional and structural maturational processes but also detecting biomarkers of neural disorders in the preterm brains.
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Affiliation(s)
- Lei Feng
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Hang Li
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Department of Radiology, Beijing Children's Hospital Affiliated to Capital Medical University, National Center for Children's Health, Beijing, China
| | - Kenichi Oishi
- Department of Radiology, Johns Hopkins University, MD, USA
| | - Virendra Mishra
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, USA
| | - Limei Song
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Qinmu Peng
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, USA
| | - Minhui Ouyang
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, USA
| | - Jiaojian Wang
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, USA
| | - Michelle Slinger
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA
| | - Tina Jeon
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA
| | - Lizette Lee
- Department of Pediatrics, University of Texas Southwestern Medical Center, TX, USA
| | - Roy Heyne
- Department of Pediatrics, University of Texas Southwestern Medical Center, TX, USA
| | - Lina Chalak
- Department of Pediatrics, University of Texas Southwestern Medical Center, TX, USA
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital Affiliated to Capital Medical University, National Center for Children's Health, Beijing, China
| | - Shuwei Liu
- Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, USA.
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49
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Yuan JP, Henje Blom E, Flynn T, Chen Y, Ho TC, Connolly CG, Dumont Walter RA, Yang TT, Xu D, Tymofiyeva O. Test-Retest Reliability of Graph Theoretic Metrics in Adolescent Brains. Brain Connect 2018; 9:144-154. [PMID: 30398373 DOI: 10.1089/brain.2018.0580] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Graph theory analysis of structural brain networks derived from diffusion tensor imaging (DTI) has become a popular analytical method in neuroscience, enabling advanced investigations of neurological and psychiatric disorders. The purpose of this study was to investigate (1) the effects of edge weighting schemes and (2) the effects of varying interscan periods on graph metrics within the adolescent brain. We compared a binary (B) network definition with three weighting schemes: fractional anisotropy (FA), streamline count, and streamline count with density and length correction (SDL). Two commonly used global and two local graph metrics were examined. The analysis was conducted with two groups of adolescent volunteers who received DTI scans either 12 weeks apart (16.62 ± 1.10 years) or within the same scanning session (30 min apart) (16.65 ± 1.14 years). The intraclass correlation coefficient was used to assess test-retest reliability and the coefficient of variation (CV) was used to assess precision. On average, each edge scheme produced reliable results at both time intervals. Weighted measures outperformed binary measures, with SDL weights producing the most reliable metrics. All edge schemes except FA displayed high CV values, leaving FA as the only edge scheme that consistently showed high precision while also producing reliable results. Overall findings suggest that FA weights are more suited for DTI connectome studies in adolescents.
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Affiliation(s)
- Justin P Yuan
- 1 Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Eva Henje Blom
- 2 Department of Clinical Science, Child- and Adolescent Psychiatry, Umeå University, Umeå, Sweden.,3 Department of Psychiatry and the Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, University of California, San Francisco, San Francisco, California
| | - Trevor Flynn
- 1 Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Yiran Chen
- 1 Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Tiffany C Ho
- 3 Department of Psychiatry and the Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, University of California, San Francisco, San Francisco, California.,4 Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California
| | - Colm G Connolly
- 3 Department of Psychiatry and the Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, University of California, San Francisco, San Francisco, California.,5 Department of Biomedical Sciences, Florida State University, Tallahassee, Florida
| | - Rebecca A Dumont Walter
- 1 Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Tony T Yang
- 3 Department of Psychiatry and the Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, University of California, San Francisco, San Francisco, California
| | - Duan Xu
- 1 Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Olga Tymofiyeva
- 1 Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
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50
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Lebel C, Deoni S. The development of brain white matter microstructure. Neuroimage 2018; 182:207-218. [PMID: 29305910 PMCID: PMC6030512 DOI: 10.1016/j.neuroimage.2017.12.097] [Citation(s) in RCA: 277] [Impact Index Per Article: 46.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 12/16/2017] [Accepted: 12/30/2017] [Indexed: 12/13/2022] Open
Abstract
Throughout infancy, childhood, and adolescence, our brains undergo remarkable changes. Processes including myelination and synaptogenesis occur rapidly across the first 2-3 years of life, and ongoing brain remodeling continues into young adulthood. Studies have sought to characterize the patterns of structural brain development, and early studies predominately relied upon gross anatomical measures of brain structure, morphology, and organization. MRI offers the ability to characterize and quantify a range of microstructural aspects of brain tissue that may be more closely related to fundamental neurodevelopmental processes. Techniques such as diffusion, magnetization transfer, relaxometry, and myelin water imaging provide insight into changing cyto- and myeloarchitecture, neuronal density, and structural connectivity. In this review, we focus on the growing body of literature exploiting these MRI techniques to better understand the microstructural changes that occur in brain white matter during maturation. Our review focuses on studies of normative brain development from birth to early adulthood (∼25 years), and places particular emphasis on longitudinal studies and newer techniques that are being used to study microstructural white matter development. All imaging methods demonstrate consistent, rapid microstructural white matter development over the first 3 years of life, suggesting increased myelination and axonal packing. Diffusion studies clearly demonstrate continued white matter maturation during later childhood and adolescence, though the lack of consistent findings in other modalities suggests changes may be mainly due to axonal packing. An emerging literature details differential microstructural development in boys and girls, and connects developmental trajectories to cognitive abilities, behaviour, and/or environmental factors, though the nature of these relationships remains unclear. Future research will need to focus on newer imaging techniques and longitudinal studies to provide more detailed information about microstructural white matter development, particularly in the childhood years.
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Affiliation(s)
- Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute and the Hotchkiss Brain Institute, Calgary, AB, Canada.
| | - Sean Deoni
- School of Engineering, Providence, RI, United States; Advanced Baby Imaging Lab at Memorial Hospital of Rhode Island, Pawtucket, RI, United States
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