Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11years of age

Ghosh, Samik; Kakunoori, Sita; Augustinack, Jean C.; Nieto-Castañón, Alfonso; Kovelman, Ioulia; Gaab, Nadine; Christodoulou, Joanna A.; Triantafyllou, Christina; Gabrieli, John D. E.; Fischl, Bruce

doi:10.1016/j.neuroimage.2010.05.075

Cited by 253 publications

(198 citation statements)

References 48 publications

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“…As described in Methods, our tractography method relies on the segmentation of each participant's T1-weighted structural scan within FreeSurfer, a process that was originally based on adult participants. However, previous work has demonstrated that this method is robust and unbiased when tested on children in the same age range as those in the preent study (31). Further, because our tractography method uses information from the atlas about which anatomical labels each tract passes through or next to, and not about the exact spatial location or shape of the tract, it does not require perfect spatial alignment of study subjects to the atlas.…”

Section: Discussionmentioning

confidence: 99%

Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder

Koldewyn

Yendiki

Weigelt

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

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One of the most widely cited features of the neural phenotype of autism is reduced "integrity" of long-range white matter tracts, a claim based primarily on diffusion imaging studies. However, many prior studies have small sample sizes and/or fail to address differences in data quality between those with autism spectrum disorder (ASD) and typical participants, and there is little consensus on which tracts are affected. To overcome these problems, we scanned a large sample of children with autism (n = 52) and typically developing children (n = 73). Data quality was variable, and worse in the ASD group, with some scans unusable because of head motion artifacts. When we follow standard data analysis practices (i.e., without matching head motion between groups), we replicate the finding of lower fractional anisotropy (FA) in multiple white matter tracts. However, when we carefully match data quality between groups, all these effects disappear except in one tract, the right inferior longitudinal fasciculus (ILF). Additional analyses showed the expected developmental increases in the FA of fiber tracts within ASD and typical groups individually, demonstrating that we had sufficient statistical power to detect known group differences. Our data challenge the widely claimed general disruption of white matter tracts in autism, instead implicating only one tract, the right ILF, in the ASD phenotype.diffusion-weighted imaging | connectivity W hat is the key difference in the brains of individuals with autism that accounts for the distinctive cognitive profile of this disorder? One of the most widely claimed brain signatures of autism spectrum disorder (ASD), reported in dozens of papers that used diffusion-weighted imaging (DWI), is reduced integrity of long-range fiber tracts (1). This finding has been taken as evidence that autism is fundamentally a "disconnection" syndrome, in which the core cognitive deficits result from reduced integration of information at the neural and cognitive levels (2-5). For example, it has been argued that the characteristic deficits in social cognition and language arise because these functions require rapid integration of information across spatially distant brain areas (3, 6, 7), which would likely be affected if major white matter tracts are compromised.Evidence for a general reduction in the "integrity"* of white matter in autism has come primarily from diffusion imaging studies that report reduced directionality of the diffusion of water molecules, or fractional anisotropy (FA), and increased speed of diffusion, or mean diffusivity (MD) of many major fiber bundles. However, the literature reveals little actual agreement on the existence and direction of group differences in diffusion parameters (reviewed in ref. 1). White-matter differences have been reported in various brain regions in positive and negative directions. Possible reasons for these inconsistent findings include small sample sizes [mean of ∼20 in each group, with 40% of studies scanning 15 or fewer participants with ASD (1)...

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Section: Discussionmentioning

confidence: 99%

Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder

Koldewyn

Yendiki

Weigelt

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

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“…In addition, a meta-analysis has confirmed a connection between the size of the hippocampus and memory performance during brain development in children and young adults (Van Petten, 2004). Overall, the research evidence suggests that cognitive development is strongly connected with micro and macro-anatomical changes which take place throughout childhood (Levitt, 2003;Herlenius and Lagercrantz, 2004;Ghosh et al, 2010). Individual brain development follows a genetic program which is influenced by environmental factors including nutrition (Bryan et al, 2004;Toga et al, 2006;Giedd et al, 2010).…”

Section: Brain Development In Humansmentioning

confidence: 95%

The Role of Nutrition in Children's Neurocognitive Development, From Pregnancy Through Childhood

Nyaradi¹,

Li²,

Hickling³

et al. 2015

Prenatal and Childhood Nutrition

129

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This review examines the current evidence for a possible connection between nutritional intake (including micronutrients and whole diet) and neurocognitive development in childhood. Earlier studies which have investigated the association between nutrition and cognitive development have focused on individual micronutrients, including omega-3 fatty acids, vitamin B12, folic acid, choline, iron, iodine, and zinc, and single aspects of diet. The research evidence from observational studies suggests that micronutrients may play an important role in the cognitive development of children. However, the results of intervention trials utilizing single micronutrients are inconclusive. More generally, there is evidence that malnutrition can impair cognitive development, whilst breastfeeding appears to be beneficial for cognition. Eating breakfast is also beneficial for cognition. In contrast, there is currently inconclusive evidence regarding the association between obesity and cognition. Since individuals consume combinations of foods, more recently researchers have become interested in the cognitive impact of diet as a composite measure. Only a few studies to date have investigated the associations between dietary patterns and cognitive development. In future research, more well designed intervention trials are needed, with special consideration given to the interactive effects of nutrients.

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“…We additionally performed a surface-based vertex-wise analysis of between-group cortical thickness differences in order to preserve spatial specificity. First, data from each subject was resampled to a standard space with the MNI305 template; this has been validated in children previously (21). Next, each dataset was spatially smoothed using a 15 mm full-width at half maximum (FWHM) Gaussian kernel along the cortical surface (22).…”

Section: Mri Analysis and Anatomic Classificationmentioning

confidence: 99%

Reduced cortical volume and thickness and their relationship to medical and operative features in post-Fontan children and adolescents

et al. 2017

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Background:We compared brain cortical and subcortical gray matter volumes and cortical thickness between postFontan patients and healthy controls, and examined brain anatomical associations with operative and medical history characteristics. Methods: Post-Fontan (n = 128 volumes; n = 115 thickness) and control subjects (n = 48 volumes; n = 45 thickness) underwent brain MRI at ages 10-19 y. Subcortical and cortical volumes and cortical thicknesses were measured for intergroup comparison. Associations between brain measures and clinical measures were assessed in the Fontan group. results: Widespread, significant reduction in brain volumes and thicknesses existed in the Fontan group compared to controls, spanning all brain lobes and subcortical gray matter. Fontan subjects treated with vs. without the Norwood procedure had smaller volumes in several terminal clusters, but did not differ in cortical thickness. Older age at first operation and increasing numbers of cardiac catheterizations, operative complications, and catheterization complications were associated with lower regional volumes and thicknesses. Increasing numbers of operative complications and cardiac catheterizations were associated with smaller regional volumes in the Norwood group. conclusion: The post-Fontan adolescent brain differs from the normal control brain. Some of these differences are associated with potentially modifiable clinical variables, suggesting that interventions might improve long-term neurocognitive outcome.c ongenital heart disease (CHD) is the most common congenital anomaly, with single ventricle (SV) defects occurring in nearly 10% of patients with CHD (1). Patients with SV, particularly hypoplastic left heart syndrome (HLHS), have higher mortality and morbidity than those with other types of CHD, but their survival has steadily increased for several decades (2). The Fontan procedure, as well as staged palliation

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Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11years of age

Cited by 253 publications

References 48 publications

Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder

Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder

The Role of Nutrition in Children's Neurocognitive Development, From Pregnancy Through Childhood

Reduced cortical volume and thickness and their relationship to medical and operative features in post-Fontan children and adolescents

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