Simple Developmental Dyslexia in Children: Alterations in Diffusion-Tensor Metrics of White Matter Tracts at 3 T

Rollins, Nancy; Vachha, Behroze; Srinivasan, Priya; Chia, Jonathon; Pickering, Joyce S.; Hughes, Carrol W.; Gimi, Barjor

doi:10.1148/radiol.2513080884

Cited by 42 publications

(40 citation statements)

References 36 publications

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“…Even if not yet validated on a large number of specimens, this bundle may represent the key of the visual limbic pathway that subserves emotional, learning, and memory functions that are modalityspecific to vision [18]. Several DTI studies reported correlations between reduced FA in some portions of the ILF and impairments of higher visuo-perceptual functions [76] including object and picture naming [57,81], dyslexia [28,74,84], and alexia [32]. Moreover, according to Catani et al [14] the role of this ventral bundle is even more complex.…”

Section: Li-am Bundlementioning

confidence: 99%

New insights in the limbic modulation of visual inputs: The role of the inferior longitudinal fasciculus and the Li-Am bundle

Latini¹

2014

Neurosurg Rev

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Recent anatomical and DTI data demonstrated new aspects in the subcortical occipito-temporal connections. Although a direct (inferior longitudinal fasciculus, ILF) pathway has been previously described, its fine description is still matter of debate. Moreover, a fast and direct subcortical connection between the limbic system and the occipital lobe has been previously recognized in many functional studies but it still remains poorly documented by anatomical images. We provided for the first time an extensive and detailed anatomical description of the ILF subcortical segmentation. We dissected four human hemispheres with modified Klingler's technique, from the basal to the lateral occipito-temporal surface in the two steps, tracking the ILF fibers until their cortical termination. Pictures of this direct temporo-occipital pathway are discussed in the light of recent literature regarding anatomy and functions of occipito-temporal areas. The dissection confirmed the classical originating branches of ILF and allowed a fine description of two main subcomponent of this bundle, both characterized by separate hierarchical distribution: a dorsal ILF and a ventral ILF. Moreover, a direct pathway between lingual cortex and amygdala, not previously demonstrated, is here described with anatomical images. Even if preliminary in results, this is the first fine description of ILF's subcomponents. The complex but clearly segregated organization of the fibers of this bundle (dILF and vILF) supports different level of functions mediated by visual recognition. Moreover, the newly described direct pathway from lingual to amygdala (Li-Am), seems involved in the limbic modulation of visual processing, so it may support physiological conditions the crucial role of this connection in human social cognition. In pathological conditions, on the other hand, this may be one of the hyperactivated pathways in temporo-occipital epileptic and nonepileptic syndromes.

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Section: Li-am Bundlementioning

confidence: 99%

New insights in the limbic modulation of visual inputs: The role of the inferior longitudinal fasciculus and the Li-Am bundle

Latini¹

2014

Neurosurg Rev

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“…We included a large sample of children with varying performance levels, including children with learning deficits in reading and/or maths. White matter connections in broad clusters were associated with learning scores for both reading and maths that extended well beyond focal differences in fronto-temporal and fronto-parietal regions that had been previously implicated (Carter et al 2009, Rollins et al 2009, Odegard et al 2009, Matejko et al 2013, Kucian et al 2013, Beek et al 2014. Furthermore, better reading and maths scores were related to two key measures of global brain network organisation: shorter path length and higher clustering.…”

Section: Discussionmentioning

confidence: 68%

“…These are largely derived a priori from adult neuropsychological models or from the use of statistical procedures optimised to uncover maximal focal differences in canonical case-control designs (Carter et al 2009, Rollins et al 2009, Odegard et al 2009, Matejko et al 2013, Kucian et al 2013, Beek et al 2014. While these approaches have been invaluable for discovering the brain basis of acquired adult disorders, their applicability to disorders of developmental origin has been questioned for some time (Karmiloff-Smith 1998).…”

Section: Introductionmentioning

confidence: 99%

“…In these traditional neuroimaging studies (Peterson andPennington 2015, Kucian andvon Aster 2014), deficits in these aspects of learning has been linked differences in tracts of the language system, including the inferior and superior longitudinal fasciculus/arcuate fasciculus, posterior corpus callosum, and extreme capsule (Carter et al 2009, Rollins et al 2009, Odegard et al 2009). In the case of mathematical abilities, white matter connections of the parietal and frontal lobe have been implicated (Matejko et al 2013, Kucian et al 2013, Beek et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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The role of the structural connectome in literacy and numeracy development in children

Bathelt¹,

Gathercole²,

Butterfield³

et al. 2017

Preprint

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Literacy and numeracy are fundamental skills acquired in childhood, a time that coincides with considerable shifts in large-scale brain organisation. However, most studies emphasize focal brain contributions to literacy and numeracy development by employing case-control designs and voxel-by-voxel statistical comparisons. This approach has been valuable, but does not capture the potential importance of broader differences in brain organisation. The current study aims to address this by including children with varying levels of reading and maths ability, and by using a whole-brain structural connectome approach based on diffusion-weighted MRI data. Our results indicate an association between literacy and numeracy development and a distributed network of white matter connections that extends well beyond regions implicated in voxel-wise studies. Graph theory measures of network organisation were predictive of reading and maths scores. Simulated disruption of highly-connected hubs indicated that these regions are particularly important for optimal network organisation. These findings show that changes in large-scale brain organisation contribute to improvements in literacy and numeracy as children grow up.

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“…To detect subtle changes, quantitative analysis of DTI metrics such as fractional anisotropy and axial and radial diffusivities are measured. [1][2][3] However, these DTI metrics are subject to high uncertainties and bias caused by noise in the images. [4][5][6][7] Seo et al have reported SNR requirements for various anatomical areas of the brain and FA values for bias-free estimation of tensor metrics.…”

Section: Introductionmentioning

confidence: 99%

Signal‐to‐noise assessment for diffusion tensor imaging with single data set and validation using a difference image method with data from a multicenter study

et al. 2014

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Simple Developmental Dyslexia in Children: Alterations in Diffusion-Tensor Metrics of White Matter Tracts at 3 T

Abstract: Findings at 3.0-T DT imaging suggest that white matter differences in dyslexic children are not limited to the portion of the brain traditionally considered to be integral to word recognition and processing.

Cited by 42 publications

References 36 publications

New insights in the limbic modulation of visual inputs: The role of the inferior longitudinal fasciculus and the Li-Am bundle

New insights in the limbic modulation of visual inputs: The role of the inferior longitudinal fasciculus and the Li-Am bundle

The role of the structural connectome in literacy and numeracy development in children

Signal‐to‐noise assessment for diffusion tensor imaging with single data set and validation using a difference image method with data from a multicenter study

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