Less white matter concentration in autism: 2D voxel-based morphometry

Chung, Moo K.; Dalton, Kim M.; Alexander, Andrew L.; Davidson, Richard J.

doi:10.1016/j.neuroimage.2004.04.037

Cited by 143 publications

(105 citation statements)

References 36 publications

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“…It is possible that the behavioral phenotype of low social approach [8,49] and failure to modify behavioral patterns in the hole-board familiarization assay might be related to the overt neuroanatomical defects in these mice, including absent corpus callosum and reductions in the hippocampal commissure [82]. Some studies have reported deficiencies in corpus callosum volume or white matter concentration in autistic patients [1,13,41,61,81,83].…”

Section: Discussionmentioning

confidence: 99%

Development of a mouse test for repetitive, restricted behaviors: Relevance to autism

Moy

Nadler

Poe

et al. 2008

Behavioural Brain Research

178

182

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Repetitive behavior, a core symptom of autism, encompasses stereotyped responses, restricted interests, and resistance to change. These studies investigated whether different components of the repetitive behavior domain could be modeled in the exploratory hole-board task in mice. Four inbred mouse strains, C57BL/6J, BALB/cByJ, BTBR T + tf/J, and FVB/NJ, and mice with reduced expression of Grin1, leading to NMDA receptor hypofunction (NR1 neo/neo mice), were tested for exploration and preference for olfactory stimuli in an activity chamber with a 16-hole floor-board. Reduced exploration and high preference for holes located in the corners of the chamber were observed in BALB/cByJ and BTBR T+tf/J mice. All inbred strains had initial high preference for a familiar olfactory stimulus (clean cage bedding). BTBR T + tf/J was the only strain that did not demonstrate a shift in hole preference towards an appetitive olfactory stimulus (cereal or a chocolate chip), following home cage exposure to the food. The NR1 neo/neo mice showed lower hole selectivity and aberrant olfactory stimulus preference, in comparison to wildtype controls. The results indicate that NR1 neo/neo mice have repetitive nose poke responses that are less modified by environmental contingencies than responses in wildtype mice. 25-30% of NMDA-receptor hypomorphic mice also show self-injurious responses. Findings from the olfactory studies suggest that resistance to change and restricted interests might be modeled in mice by a failure to alter patterns of hole preference following familiarization with an appetitive stimulus, and by high preference persistently Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. NIH Public Access

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Section: Discussionmentioning

confidence: 99%

Development of a mouse test for repetitive, restricted behaviors: Relevance to autism

Moy

Nadler

Poe

et al. 2008

Behavioural Brain Research

178

182

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“…Here we applied tensor-based morphometry (TBM; see Davatzikos et al, 1996;Thompson et al, 2000;Chung et al, 2001Chung et al, , 2003Chung et al, , 2004Fox et al, 2001;Shen and Davatzikos, 2003;Studholme et al, 2001Studholme et al, , 2003Teipel et al, 2004, for related work) to detect and automatically quantify the subtle and distributed patterns of brain atrophy in HIV/AIDS.…”

Section: Introductionmentioning

confidence: 99%

3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry

Chiang¹,

Dutton²,

Hayashi³

et al. 2007

NeuroImage

164

152

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Abstract35% of HIV-infected patients have cognitive impairment, but the profile of HIV-induced brain damage is still not well understood. Here we used tensor-based morphometry (TBM) to visualize brain deficits and clinical/anatomical correlations in HIV/AIDS. To perform TBM, we developed a new MRI-based analysis technique that uses fluid image warping, and a new α-entropy-based information-theoretic measure of image correspondence, called the Jensen-Rényi divergence (JRD).Methods-3D T1-weighted brain MRIs of 26 AIDS patients (CDC stage C and/or 3 without HIV-associated dementia; 47.2 ± 9.8 years; 25M/1F; CD4 + T-cell count: 299.5 ± 175.7/µl; log 10 plasma viral load: 2.57 ± 1.28 RNA copies/ml) and 14 HIV-seronegative controls (37.6 ± 12.2 years; 8M/6F) were fluidly registered by applying forces throughout each deforming image to maximize the JRD between it and a target image (from a control subject). The 3D fluid registration was regularized using the linearized Cauchy-Navier operator. Fine-scale volumetric differences between diagnostic groups were mapped. Regions were identified where brain atrophy correlated with clinical measures.Results-Severe atrophy (~15-20% deficit) was detected bilaterally in the primary and association sensorimotor areas. Atrophy of these regions, particularly in the white matter, correlated with cognitive impairment (P=0.033) and CD4 + T-lymphocyte depletion (P=0.005).Conclusion-TBM facilitates 3D visualization of AIDS neuropathology in living patients scanned with MRI. Severe atrophy in frontoparietal and striatal areas may underlie early cognitive dysfunction in AIDS patients, and may signal the imminent onset of AIDS dementia complex.

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“…The CC is the largest fiber bundle connecting the left and the right cerebral hemispheres in the hu man brain. Since the higher cognitive functions of the brain are highly affected by the impaired communication between the hemi spheres, several studies [5][6][7][8][9][10] have proposed to analyze the CC for autistic subjects. In [5][6][7], the CC had been traced from the midsagittal MRI slice.…”

Section: Introductionmentioning

confidence: 99%

“…Statistical difference analysis was applied to find out which part in the CC contributes significantly to iden tification of autistic brains. Chung et al [8] applied a voxel based morphometry approach using a freely available public domain soft ware package (i.e., SPM software-http;llwww.jil.ion.ucl.ac.uklspml) to spatially normalize the midsagittal MRI slice to a common stereo tactic space in order to segment the CC and localize the CC subre gions that are related to autism. To cover more CC anatomy, stud ies [9,10] account not only for the midsagittal slice but also for four adjacent slices on both sides.…”

Section: Introductionmentioning

confidence: 99%

Autism diagnostics by centerline-based shape analysis of the Corpus Callosum

Elnakib

Gimel’farb

Switala

et al. 2011

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Autism severely impairs personal behavior and communication skills, so that improved diagnostic methods are called for. Neu ropathological studies have revealed abnormal anatomy of the Cor pus Callosum (CC) in autistic brains. We explore a possibility of distinguishing between autistic and normal (control) brains by quan titative CC shape analysis in the 3D maguetic resonance images (MRI). Our approach consists of the three steps: (i) segmenting the CC from a given 3D MRI using the learned CC shape and visual appearance; (il) extracting a centerline of the CC; and (iii) classify ing the subject as autistic or normal based on the estimated length of the centerline of the CC using a k-Nearest neighbor classifier. Experiments revealed significant differences (at the 95% confidence level) between the CC centerlines for 17 normal and 17 autistic subjects. Our initial classification suggests the proposed centerline based shape analysis of the CC is a promising supplement to the current autism diagnostics.

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Less white matter concentration in autism: 2D voxel-based morphometry

Cited by 143 publications

References 36 publications

Development of a mouse test for repetitive, restricted behaviors: Relevance to autism

Development of a mouse test for repetitive, restricted behaviors: Relevance to autism

3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry

Autism diagnostics by centerline-based shape analysis of the Corpus Callosum

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