Atypical network connectivity for imitation in autism spectrum disorder

Shih, Patricia; Shen, Mark D.; Öttl, Birgit; Keehn, Brandon; Gaffrey, Michael S.; Müller, Ralph‐Axel

doi:10.1016/j.neuropsychologia.2010.05.035

Cited by 108 publications

(84 citation statements)

References 128 publications

(172 reference statements)

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“…A recent study on imitation using blood oxygen level dependent (BOLD) fluctuations showed atypical connectivity within the imitation network (inferior frontal gyrus, inferior parietal lobule, and superior temporal sulcus) in adults with autism (Shih et al 2010). As also recently suggested (Gepner and Féron 2009), the biological movement perception and imitation deficits observed among individuals with autism might be linked to a pattern of functional disconnectivity (i.e.…”

Section: Neurobiological Correlatesmentioning

confidence: 87%

Slowing Down the Presentation of Facial and Body Movements Enhances Imitation Performance in Children with Severe Autism

Rauzy¹,

Tardif²,

Gepner³

2010

J Autism Dev Disord

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Imitation deficits observed among individuals with autism could be partly explained by the excessive speed of biological movements to be perceived and then reproduced. Along with this assumption, slowing down the speed of presentation of these movements might improve their imitative performances. To test this hypothesis, 19 children with autism, 37 typically-developing children and 17 children with Down syndrome were asked to reproduce facial and body movements presented on a computer at a normal/ecological and two slowed down speeds. Our main result showed that a subgroup of individuals with severe autism better reproduced the movements when presented slowly than at the ecological speed. This finding opens a new window for comprehension and rehabilitation of perceptual and imitative deficits in autism.

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Section: Neurobiological Correlatesmentioning

confidence: 87%

Slowing Down the Presentation of Facial and Body Movements Enhances Imitation Performance in Children with Severe Autism

Rauzy¹,

Tardif²,

Gepner³

2010

J Autism Dev Disord

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“…Equivalent regression-based fcMRI methods have been employed in autism research with success (Noonan et al, 2009;Shih et al, 2010;Villalobos et al, 2005). fMRI data analysis was carried out by using Analysis of Functional NeuroImages (AFNI) (Cox, 1996), Surface Mapping (SUMA) software (Saad and Reynolds, 2012) and MatLab (MathWorks, Natick, MA).…”

Section: Task-regressed Hippocampal Functional Connectivitymentioning

confidence: 99%

“…This method has been previously validated in healthy controls (Fair et al, 2007) and patients with autistic disorder (Noonan et al, 2009;Shih et al, 2010;Villalobos et al, 2005), but has yet to be applied to patients with TLE. We predict that the FC pattern resulting from our task-regressed analysis will match those found in the existing resting-state studies in TLE, providing further validation of this method.…”

mentioning

confidence: 99%

“…The convergence of taskregressed fcMRI with resting-state findings are encouraging and could permit fMRI researchers to utilize task-based functional data to perform FC analyses in the absence of pure resting state data. Equivalent regression-based fcMRI methods have been employed in healthy controls (Fair et al, 2007) and those with autistic disorder ( Jones et al, 2010;Noonan et al, 2009;Shih et al, 2010;Villalobos et al, 2005) with success, showing that results obtained using a task-regressed method strongly correlate with those obtained using a traditional resting-state analysis. Jones et al (2010) posit that the task-regressed approach increases the likelihood that observed correlations are much more likely to be driven by task-independent fluctuations.…”

mentioning

confidence: 99%

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Functional Connectivity of the Hippocampus in Temporal Lobe Epilepsy: Feasibility of a Task-Regressed Seed-Based Approach

et al. 2013

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Objective: Resting-state functional connectivity (FC) has revealed marked network dysfunction in patients with temporal lobe epilepsy (TLE) compared to healthy controls. However, the nature and the location of these changes have not been fully elucidated nor confirmed by other methodologies. We assessed the presence of hippocampal FC changes in TLE based on the low frequency residuals of task-related functional magnetic resonance imaging data after the removal of task-related activation [i.e., task-regressed functional connectivity MRI (fcMRI)]. Method: We employed a novel, task-regressed approach to quantify hippocampal FC, and compare hippocampal FC in 17 patients with unilateral TLE (9 left) with 17 healthy controls. Results: Our results suggest widespread FC reductions in the mesial cortex associated with the default mode network (DMN), and some local FC increases in the lateral portions of the right hemisphere. We found more pronounced FC decreases in the left hemisphere than in the right, and these FC decreases were greatest in patients with left TLE. Moreover, the FC reductions observed between the hippocampus and posterior cingulate, inferior parietal, paracentral regions are in agreement with previous resting state studies. Conclusions: Consistent with the existing literature, FC reductions in TLE appear widespread with prominent reductions in the medial portion of the DMN. Our data expand the literature by demonstrating that reductions in FC may be greatest in the left hemisphere and in patients with left TLE. Overall, our findings suggest that task-regressed FC is a viable alternative to resting state and that future studies may extract similar information on network connectivity from already existing datasets.

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“…Two hypothesis-driven connectivity measures were chosen based on prior reports of diagnosis-related alterations in males with ASD, which included (i) investigations of the functional circuitry of the posterior superior temporal sulcus (STS), a key 'hub' in social information processing by connecting distinct social brain networks underlying theory of mind (amygdala-orbitofrontal network) and action/emotion understanding (fronto-parietal action perception network or mirror neuron system) (Lahnakoski et al, 2012); and (ii) exploration of functional connections of the posterior cingulate cortex (PCC), a core region of the default network (Buckner et al, 2008), most prominently studied in prior ASD resting-state neuroimaging research. ASD-related alterations in functional circuitry have been reported for both regions in males with ASD (STS (Shih et al, 2010;Mueller et al, 2013;Alaerts et al, 2014); PCC (Cherkassky et al, 2006;Monk et al, 2009;Assaf et al, 2010;Weng et al, 2010)), and a key question will be whether and how these alterations are different in females with ASD.…”

Section: Introductionmentioning

confidence: 99%

Sex differences in autism: a resting-state fMRI investigation of functional brain connectivity in males and females

Alaerts

Swinnen

Wenderoth

2016

Social Cognitive and Affective Neuroscience

152

144

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Autism spectrum disorders (ASD) are far more prevalent in males than in females. Little is known however about the differential neural expression of ASD in males and females. We used a resting-state fMRI-dataset comprising 42 males/ 42 females with ASD and 75 male/75 female typical-controls to examine whether autism-related alterations in intrinsic functional connectivity are similar or different in males and females, and particularly whether alterations reflect 'neural masculinization', as predicted by the Extreme Male Brain theory. Males and females showed a differential neural expression of ASD, characterized by highly consistent patterns of hypo-connectivity in males with ASD (compared to typical males), and hyper-connectivity in females with ASD (compared to typical females). Interestingly, patterns of hyper-connectivity in females with ASD reflected a shift towards the (high) connectivity levels seen in typical males (neural masculinization), whereas patterns of hypo-connectivity observed in males with ASD reflected a shift towards the (low) typical feminine connectivity patterns (neural feminization). Our data support the notion that ASD is a disorder of sexual differentiation rather than a disorder characterized by masculinization in both genders. Future work is needed to identify underlying factors such as sex hormonal alterations that drive these sex-specific neural expressions of ASD.

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Atypical network connectivity for imitation in autism spectrum disorder

Cited by 108 publications

References 128 publications

Slowing Down the Presentation of Facial and Body Movements Enhances Imitation Performance in Children with Severe Autism

Slowing Down the Presentation of Facial and Body Movements Enhances Imitation Performance in Children with Severe Autism

Functional Connectivity of the Hippocampus in Temporal Lobe Epilepsy: Feasibility of a Task-Regressed Seed-Based Approach

Sex differences in autism: a resting-state fMRI investigation of functional brain connectivity in males and females

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