Article

Relationships between brain activation and brain structure in normally developing children.

UCLA Laboratory of Neuro Imaging, Department of Neurology, Los Angeles, CA 90095, USA.
Cerebral Cortex (Impact Factor: 8.31). 03/2009; 19(11):2595-604. DOI: 10.1093/cercor/bhp011
Source: PubMed

ABSTRACT Dynamic changes in brain structure, activation, and cognitive abilities co-occur during development, but little is known about how changes in brain structure relate to changes in cognitive function or brain activity. By using cortical pattern matching techniques to correlate cortical gray matter thickness and functional brain activity over the entire brain surface in 24 typically developing children, we integrated structural and functional magnetic resonance imaging data with cognitive test scores to identify correlates of mature performance during orthographic processing. Fast-naming individuals activated the right fronto-parietal attention network in response to novel fonts more than slow-naming individuals, and increased activation of this network was correlated with more mature brain morphology in the same fronto-parietal region. These relationships remained even after effects of age or general cognitive ability were statistically controlled. These results localized cortical regions where mature morphology corresponds to mature patterns of activation, and may suggest a role for experience in mediating brain structure-activation relationships.

Download full-text

Full-text

Available from: Mirella Dapretto, Jul 05, 2015
0 Followers
 · 
252 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Early blindness results in both structural and functional changes of the brain. However, these changes have rarely been studied in relation to each other. We measured alterations in cortical thickness (CT) caused by early visual deprivation and their relationship with cortical activity. Structural and functional magnetic resonance imaging was performed in 12 early blind (EB) humans and 12 sighted controls (SC). Experimental conditions included one-back tasks for auditory localization and pitch identification, and a simple sound-detection task. Structural and functional data were analyzed in a whole-brain approach and within anatomically defined regions of interest in sensory areas of the spared (auditory) and deprived (visual) modalities. Functional activation during sound-localization or pitch-identification tasks correlated negatively with CT in occipital areas of EB (calcarine sulcus, lingual gyrus, superior and middle occipital gyri, and cuneus) and in nonprimary auditory areas of SC. These results suggest a link between CT and activation and demonstrate that the relationship between cortical structure and function may depend on early sensory experience, probably via selective pruning of exuberant connections. Activity-dependent effects of early sensory deprivation and long-term practice are superimposed on normal maturation and aging. Together these processes shape the relationship between brain structure and function over the lifespan.
    Cerebral Cortex 02/2014; DOI:10.1093/cercor/bhu009 · 8.31 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Structural and diffusion imaging studies demonstrate effects of age, gender and asymmetry in many brain structures. However, few studies have addressed how individual differences might influence the structural integrity of the superficial white matter (SWM), comprised of short-range association (U-fibers), and intra-cortical axons. This study thus applied a sophisticated computational analysis approach to structural and diffusion imaging data obtained from healthy individuals selected from the International Consortium for Brain Mapping (ICBM) database across a wide adult age range (N=65, age: 18-74 years, all Caucasian). Fractional anisotropy (FA), radial (RD) and axial diffusivity (AD) were sampled and compared at thousands of spatially matched SWM locations and within regions-of-interest to examine global and local variations in SWM integrity across age, gender and hemisphere. Results showed age-related reductions in FA that were more pronounced in frontal SWM than in posterior and ventral brain regions while increases in RD and AD were observed across large areas of the SWM. FA was significantly greater in left temporo-parietal regions in males and in the posterior callosum in females. Prominent leftward FA and rightward AD and RD asymmetries were observed in temporal, parietal, and frontal regions. Results extend previous findings restricted to deep white matter pathways to demonstrate regional changes in SWM microstructure relating to processes of demyelination and/or to the number, coherence or integrity of axons with increasing age. SWM fiber organization/coherence appears greater in left hemisphere regions spanning language and other networks while more localized gender effects could possibly reflect sex-specific advantages in information strategies.
    03/2013; DOI:10.1089/brain.2012.0111
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Few studies have examined the relationship between local anatomic thickness of the cortex and the activation signals arising from it. Using structural and functional MRI, we examined whether a relationship exists between cortical thickness and brain activation. Twenty-eight participants were asked to perform the Go/NoGo response inhibition task known to activate the anterior cingulate and the prefrontal cortex. Structural data of the same regions were simultaneously collected. We hypothesized that cortical thickness in these brain regions would positively correlate with brain activation. Data from the structural MRI were aligned with those of functional MRI activation. There was a positive linear correlation between cortical thickness and activation during response inhibition in the right anterior cingulate cortex (Brodmann's Area 24). No significant thickness-activation correlations were found in the prefrontal cortex. Correlations between cortical thickness and activation may occur only in certain brain regions.
    Neuroreport 03/2012; 23(7):420-4. DOI:10.1097/WNR.0b013e3283525a95 · 1.64 Impact Factor