White matter impairments in autism, evidence from voxel-based morphometry and diffusion tensor imaging

Ke, Xiaoyan; Tang, Tianyu; Hong, Soo‐Jong; Hang, Yueyue; Zou, Bing; Hui-guo, LI; Zhou, Zhenyu; Ruan, Zongcai; Zhang, Lu; Tao, Guotai; Liu, Yijun

doi:10.1016/j.brainres.2009.02.013

Cited by 100 publications

(85 citation statements)

References 27 publications

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“…This is in accord with many previous VBM studies (Abell et al 1999;Boddaert et al 2004;Brieber et al 2007;Salmond et al 2007;Ke et al 2009;Dziobek et al 2010;Kosaka et al 2010;Toal et al 2010;Riva et al 2011;Via et al 2011;Yu et al 2011). However, other studies have found gray matter increases in some of these and other regions in ASD, making the current picture on structural brain differences in ASD somewhat inconsistent (Amaral et al 2008).…”

Section: Regional Gray Matter Abnormalities and Their Correlation Witsupporting

confidence: 87%

“…Interestingly, morphological changes such as reduced gray matter volume have been reported in ASD in both these regions (Boddaert et al 2004;Brieber et al 2007;Salmond et al 2007;Ke et al 2009;Toal et al 2010;Via et al 2011;Yu et al 2011). The question arises whether the variation of social behavior deficits and of other behavioral aspects of ASD can be related to the morphology of brain regions associated with the disorder.…”

mentioning

confidence: 99%

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Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

David

Schultz

Milne

et al. 2013

J Autism Dev Disord

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Individuals with an autism spectrum disorder (ASD) show hallmark deficits in social perception. These difficulties might also reflect fundamental deficits in integrating visual signals. We contrasted predictions of a social perception and a spatialndash;temporal integration deficit account. Participants with ASD and matched controls performed two tasks: the first required spatiotemporal integration of global motion signals without social meaning, the second required processing of socially relevant local motion. The ASD group only showed differences to controls in social motion evaluation. In addition, gray matter volume in the temporalndash;parietal junction correlated positively with accuracy in social motion perception in the ASD group. Our findings suggest that socialndash;perceptual difficulties in ASD cannot be reduced to deficits in spatialndash;temporal integration

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Section: Regional Gray Matter Abnormalities and Their Correlation Witsupporting

confidence: 87%

mentioning

confidence: 99%

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

David

Schultz

Milne

et al. 2013

J Autism Dev Disord

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“…Findings of reduced fractional anisotropy in the frontal lobe and left temporal lobe were reported in an exploratory study on a small group of Chinese children with high-functioning autism. 22 Neither of these studies reported on mean diffusivity. A DTI study of the corpus callosum in a large sample of autistic children and adults found a reduction of fractional anisotropy and increase of mean diffusivity, indicating a reduced integrity of the genu, body and splenium of the corpus callosum.…”

Section: Introductionmentioning

confidence: 97%

“…Ke and colleagues 22 reported deviations in white matter density and dotted spatial correspondence of these abnormalities with differences in fractional anisotropy. Their findings, however, did not match voxel-by-voxel and were based on a smaller sample (n = 12) that is more likely to suffer from lack of statistical power and adjustment for age and IQ.…”

Section: Cerebral Volumetrymentioning

confidence: 99%

Pervasive microstructural abnormalities in autism: a DTI study

Groen

Buitelaar²,

Gaag³

et al. 2011

J Psychiatry Neurosci

108

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Background: Recent studies have reported abnormal functional connectivity patterns in the brains of people with autism that may be accompanied by decreases in white matter integrity. Since autism is a developmental disorder, we aim to investigate the nature and location of decreases in white and grey matter integrity in an adolescent sample while accounting for age. Methods: We used structural (T 1 ) imaging to study brain volumetrics and diffusion tensor imaging (DTI) to investigate white and grey matter integrity in people with autism. We obtained magnetic resonance images for adolescents aged 12-18 years with high-functioning autism and from matched controls. Fractional anisotropy and mean diffusivity, as well as grey and white matter volumetrics were analyzed. Results: There were 17 participants with autism and 25 matched controls included in this study. Participants with autism had lower fractional anisotropy in the left and right superior and inferior longitudinal fasciculus, but this effect was not significant after adjusting for age and intelligence quotient (IQ). The kurtosis of the white matter fractional anisotropy probability distribution was higher in this participant group, with and without adjustment for age and IQ. Most notably, however, the mean diffusivity levels were markedly increased in the autism group throughout the brain, and the mean diffusivity probability distributions of both grey and white matter were shifted toward a higher value, particularly with age and IQ adjustment. No volumetric differences in grey and white matter were found. Limitations: We corrected for age and IQ using a linear model. The study was also limited by its sample size, investigated age range and cross-sectional design. Conclusion: The findings suggest that autism is characterized by a generalized reduction of white matter integrity that is associated with an increase of interstitial space. The generalized manifestation of the white matter abnormalities provides an important new perspective on autism as a connectivity disorder.

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“…By mapping the diffusion of water through the brain's fibers, DTI can recover major fiber pathways in the brain, and patterns of anatomical connectivity, with broad applications in psychiatry, neurology, and brain mapping (Thomason and Thompson, 2011). DTI-based white matter abnormalities are widely reported in developmental and degenerative brain diseases including Alzheimer's disease and mild cognitive impairment (Fellgiebel et al, 2004;Naggara et al, 2006;Oishi et al, 2011), schizophrenia (White et al, 2008;Ellison-Wright and Bullmore, 2009;Patel et al, 2011), bipolar disorder (Sussmann et al, 2009;Heng et al, 2010), attention-deficit/hyperactivity disorder (Konrad and Eickhoff, 2010), and autism (Alexander et al, 2007;Ke et al, 2009). These studies show the utility of DTI in neuropsychiatric research.…”

Section: Introductionmentioning

confidence: 99%

Predicting White Matter Integrity from Multiple Common Genetic Variants

Kohannim

Jahanshad

Braskie

et al. 2012

Neuropsychopharmacol

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Several common genetic variants have recently been discovered that appear to influence white matter microstructure, as measured by diffusion tensor imaging (DTI). Each genetic variant explains only a small proportion of the variance in brain microstructure, so we set out to explore their combined effect on the white matter integrity of the corpus callosum. We measured six common candidate singlenucleotide polymorphisms (SNPs) in the COMT, NTRK1, BDNF, ErbB4, CLU, and HFE genes, and investigated their individual and aggregate effects on white matter structure in 395 healthy adult twins and siblings (age: 20-30 years). All subjects were scanned with 4-tesla 94-direction high angular resolution diffusion imaging. When combined using mixed-effects linear regression, a joint model based on five of the candidate SNPs (COMT, NTRK1, ErbB4, CLU, and HFE) explained B6% of the variance in the average fractional anisotropy (FA) of the corpus callosum. This predictive model had detectable effects on FA at 82% of the corpus callosum voxels, including the genu, body, and splenium. Predicting the brain's fiber microstructure from genotypes may ultimately help in early risk assessment, and eventually, in personalized treatment for neuropsychiatric disorders in which brain integrity and connectivity are affected.

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White matter impairments in autism, evidence from voxel-based morphometry and diffusion tensor imaging

Cited by 100 publications

References 27 publications

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

Right Temporoparietal Gray Matter Predicts Accuracy of Social Perception in the Autism Spectrum

Pervasive microstructural abnormalities in autism: a DTI study

Predicting White Matter Integrity from Multiple Common Genetic Variants

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