Pediatric diffusion tensor imaging: Normal database and observation of the white matter maturation in early childhood

Hermoye, Laurent; Saint‐Martin, Christine; Cosnard, Guy; Lee, Seung Koo; Kim, Jinna; Nassogne, Marie‐Cécile; Menten, Renaud; Clapuyt, Philippe; Donohue, Pamela; Hua, Kegang; Wakana, Setsu; Jiang, Hangyi; Zijl, Peter C.M. van; Mori, Susumu

doi:10.1016/j.neuroimage.2005.08.017

Cited by 387 publications

(385 citation statements)

References 37 publications

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“…This discrepancy in the spatial configuration of resting-state patterns may be related to recent findings regarding white matter (WM) fiber tracts in infants. A diffusion tensor MR imaging investigation revealed a significantly lower anisotropy index in the inferior longitudinal fasciculus, inferior frontooccipital fasciculus, and superior longitudinal fasciculus compared with the detected degree of anisotrophy in the interhemispheric callosal fibers (21), which suggests that the WM tracts that support functional connectivity in the anterior-posterior direction are less well developed in the infant brain compared with the tracts that support transcallosal functional connectivity (50).…”

Section: Discussionmentioning

confidence: 99%

Resting-state networks in the infant brain

Fransson

Skiöld²,

Horsch³

et al. 2007

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

589

521

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In the absence of any overt task performance, it has been shown that spontaneous, intrinsic brain activity is expressed as systemwide, resting-state networks in the adult brain. However, the route to adult patterns of resting-state activity through neuronal development in the human brain is currently unknown. Therefore, we used functional MRI to map patterns of resting-state activity in infants during sleep. We found five unique resting-states networks in the infant brain that encompassed the primary visual cortex, bilateral sensorimotor areas, bilateral auditory cortex, a network including the precuneus area, lateral parietal cortex, and the cerebellum as well as an anterior network that incorporated the medial and dorsolateral prefrontal cortex. These results suggest that resting-state networks driven by spontaneous signal fluctuations are present already in the infant brain. The potential link between the emergence of behavior and patterns of resting-state activity in the infant brain is discussed.development ͉ functional MRI ͉ spontaneous activity R ecent research on functional connectivity in the brain, in particular during resting-state conditions, has come to focus on low-frequency (Ͻ0.1 Hz), spontaneous fluctuations in the functional MRI (fMRI) signal. Discovered by Biswal et al. (1), it has been shown that systemwide networks in the resting brain are synchronized in time through intrinsic low-frequency signal fluctuations. Whereas early fMRI studies demonstrated synchronicity of intrinsic brain activity across hemispheres in primary sensory cortices (2, 3), succeeding studies have shown temporal synchronization in a resting-state network encompassing higher-order cortices (4). A systematic investigation of resting-state activity in the adult human brain was recently presented by Damoiseaux et al. (5). Using independentcomponent analysis (ICA), a data-driven explorative data analysis approach, they showed that there are numerous networks in the brain that are driven by spontaneous activity. Besides networks that are in part or fully described by the previously reported default mode (6) and task-positive network (7, 8), they found consistent patterns of resting-state activity in the visual cortex, sensorimotor areas, auditory areas, as well as extrastriate brain regions. These findings together with previous investigations on spontaneous activity suggest that the assumption that the brain during rest is idle and waiting to be triggered and respond to changes in the environment is not strictly valid. Rather, in addition to responding to changes in external stimuli or tasks, the brain is characterized by intrinsic dynamics in the form of coherent and spontaneous fluctuations, clustered together in networks that are credible from an anatomical and functional perspective.Interestingly, recent studies have presented evidence that spontaneous activity is relevant for human behavior. Momentary lapses of attention, affecting goal-oriented behavior on a global/ local selective attention task, were related to a fai...

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Section: Discussionmentioning

confidence: 99%

Resting-state networks in the infant brain

Fransson

Skiöld²,

Horsch³

et al. 2007

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

589

521

View full text Add to dashboard Cite

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“…Therefore, myelination occurs in brainstem WM before cerebral WM, in central WM before peripheral WM, and in projection and commissural pathways before association pathways. The rate of maturation of WM tracts, however, is not linear, with a steep increase in the first year after birth and a slower rate in the following years 19, 20, 23, 24, 25. In addition, WM tracts less mature at birth (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…peripheral WM) have a faster rate of maturation in early childhood compared to those more mature at birth (e.g. corticospinal tracts), and therefore may be more vulnerable to insults during this period 19, 23, 24, 26, 27…”

Section: Discussionmentioning

confidence: 99%

Long‐term white matter tract reorganization following prolonged febrile seizures

et al. 2017

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SummaryObjectiveDiffusion magnetic resonance imaging (MRI) studies have demonstrated acute white matter changes following prolonged febrile seizures (PFS), but their longer‐term evolution is unknown. We investigated a population‐based cohort to determine white matter diffusion properties 8 years after PFS.MethodsWe used diffusion tensor imaging (DTI) and applied Tract‐Based Spatial Statistics for voxel‐wise comparison of white matter microstructure between 26 children with PFS and 27 age‐matched healthy controls. Age, gender, handedness, and hippocampal volumes were entered as covariates for voxel‐wise analysis.ResultsMean duration between the episode of PFS and follow‐up was 8.2 years (range 6.7–9.6). All children were neurologically normal, and had normal conventional neuroimaging. On voxel‐wise analysis, compared to controls, the PFS group had (1) increased fractional anisotropy in early maturing central white matter tracts, (2) increased mean and axial diffusivity in several peripheral white matter tracts and late‐maturing central white matter tracts, and (3) increased radial diffusivity in peripheral white matter tracts. None of the tracts had reduced fractional anisotropy or diffusivity indices in the PFS group.SignificanceIn this homogeneous, population‐based sample, we found increased fractional anisotropy in early maturing central white matter tracts and increased mean and axial diffusivity with/without increased radial diffusivity in several late‐maturing peripheral white matter tracts 8 years post‐PFS. We propose disruption in white matter maturation secondary to seizure‐induced axonal injury, with subsequent neuroplasticity and microstructural reorganization as a plausible explanation.

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“…This directionality of the diffusion is usually measured as an index of anisotropy, usually as fractional anisotropy (FA). It has been shown that proton diffusion in the cerebral white matter of human newborns is high, and exhibits low anisotropy (Hermoye et al 2006). As the fiber tracts mature, and myelination proceeds, diffusion declines, and anisotropy (or FA) increases.…”

Section: Diffusion Imaging Of Fiber Tract Developmentmentioning

confidence: 99%