3 research outputs found

    Reduced brain activation during spoken language processing in children with developmental language disorder and children with 22q11.2 deletion syndrome

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    Language difficulties of children with Developmental Language Disorder (DLD) have been associated with multiple underlying factors and are still poorly understood. One way of investigating the mechanisms of DLD language problems is to compare language-related brain activation patterns of children with DLD to those of a population with similar language difficulties and a uniform etiology. Children with 22q11.2 deletion syndrome (22q11DS) constitute such a population. Here, we conducted an fMRI study, in which children (6-10yo) with DLD and 22q11DS listened to speech alternated with reversed speech. We compared language laterality and language-related brain activation levels with those of typically developing (TD) children who performed the same task. The data revealed no significant differences between groups in language lateralization, but task-related activation levels were lower in children with language impairment than in TD children in several nodes of the language network. We conclude that language impairment in children with DLD and in children with 22q11DS may involve (partially) overlapping cortical areas

    Neural correlates of egocentric and allocentric frames of reference combined with metric and non-metric spatial relations

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    Spatial relations (SRs: coordinate/metric vs categorical/non metric) and frames of reference (FoRs: egocentric/body vs allocentric/external element) represent the building blocks underlying any spatial representation. In the present 7-T fMRI study we have identified for the first time the neural correlates of the spatial representations emerging from the combination of the two dimensions. The direct comparison between the different spatial representations revealed a bilateral fronto-parietal network, mainly right sided, that was more involved in the egocentric categorical representations. A right fronto-parietal circuitry was specialized for egocentric coordinate representations. A bilateral occipital network was more involved in the allocentric categorical representations. Finally, a smaller part of this bilateral network (i.e. Calcarine Sulcus and Lingual Gyrus), along with the right Supramarginal and Inferior Frontal gyri, supported the allocentric coordinate representations. The fact that some areas were more involved in a spatial representation than in others reveals how our brain builds adaptive spatial representations in order to effectively react to specific environmental needs and task demands

    Widespread fMRI activity differences between perceptual states in visual rivalry are correlated with differences inobserver biases

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    When observing bistable stimuli, the percept can change in the absence of changes in the stimulus itself. When intermittently presenting a bistable stimulus, the number of perceptual alternations can increase or decrease, depending on the duration of the period that the stimulus is removed from screen between stimulus presentations (off-period). Longer off-periods lead to stabilization of the percept, while short off-periods produce perceptual alternations. Here we compare fMRI brain activation across percept repetitions and alternations when observing an intermittently presented ambiguously rotating structure from motion sphere. In the first experimental session, subjects were requested to voluntarily control the percept into either a repeating or an alternating perceptual regime at a single off-period. In a consecutive session, subjects observed the sphere uninstructed, and reported alternations and repetitions. The behavioral data showed that there were marked individual biases for observing the sphere as either repeating or alternating. The fMRI data showed activation differences between alternating and repeating perceptual regimes in an extensive network that included parietal cortex, dorsal premotor area, dorsolateral prefrontal cortex, supplementary motor area, insula, and cerebellum. However, these activation differences could all be explained by intersubject differences in the bias for one of the two perceptual regimes. The stronger the bias was for a particular perceptual regime, the less activation and vice versa. We conclude that widespread activation differences between perceptual regimes can be accounted for by differences in the perceptual bias for one of the two regime
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