A Meta-Analysis of the Corpus Callosum in Autism
Open accessAbstract
Background Several previous MRI studies have reported reductions in corpus callosum (CC) total area and CC regions in individuals with autism. However, studies have differed concerning the presence, magnitude, and/or region contributing to CC reductions. The primary aim of the present study was to determine the significance and magnitude of reduction in CC total and regional area measures in patients with autism. Method PubMed and PsycInfo databases were searched to identify MRI studies examining corpus callosum area in autism. Ten studies contributed data from 253 patients with autism (Mean age=14.58, SD=6.00) and 250 healthy controls (M age=14.47, sd=5.31). Of these ten studies, eight reported area measurements for corpus callosum regions (anterior, mid/body, and posterior), with six studies reported area for Witelson subdivisions. Meta-analytic procedures were used to quantify autism versus healthy control differences in total and region CC area measurements. Demographics and study characteristics were examined as moderators of total CC area. Results Total CC area was reduced in autism and the magnitude of the reduction was medium (Weighted Mean d=.48, 95% CI=.30-.66). All regions showed reductions in size with the magnitude of the effect decreasing caudally (anterior d=.49, mid/body d=.43, posterior d=.37). Witelson sub-division 3 (rostral body) showed the largest effect, indicating greatest reduction in the region containing pre-/supplementary motor neurons. Conclusions CC reductions are present in autism and support the aberrant connectivity hypothesis. Future diffusion tensor imaging studies examining specific fiber tracts connecting the hemispheres are needed to identify the cortical regions most affected by CC reductions.
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0 of 45 cited sources checked · 0 supported · 0 flagged
- Findingown data
The funnel plot showed a relatively even representation of small and moderate N studies across the range of effect sizes.
“Inspection of the funnel plot indicated a relatively even representation of small and moderate N studies across the range of effect sizes (figure available from the first author).”
Quote in the paperNot a substantial claim - Findingown data
No pooled effect size had a significant Q statistic.
“None of the pooled effect sizes had a significant Q statistic (see Table 2).”
Quote in the paperSubstantial claim - Findingown data
Among corpus callosum subdivisions, Witelson subdivision 3 (rostral body) has the largest effect size, weighted mean d=0.66.
“Witelson sub-division 3 (rostral body) showed the largest effect, indicating greatest reduction in the region containing pre-/supplementary motor neurons.”
- Also stated in: § Results · hedged
“Visual inspection of Figure 2 indicates that the rostral body of the CC (Witelson subdivision 3) showed the largest difference (weighted mean d=.66).”
Quote in the paperNot a substantial claim- Rests on an assumption: The samples in the included studies are representative of the broader population of individuals with autism.
- Also stated in: § Results · hedged
- Findingown data
Meta-regression using weighted least squares significantly predicted total corpus callosum area weighted effect sizes (adjusted R2=.89, F(5,4)=15.76, p=.010).
“Meta-regression using weighted least squares indicated a significant overall prediction of weighted effect sizes, adjusted R2=.89, F(5,4)=15.76, p=.010.”
Quote in the paperSubstantial claim - Findingown data
Publication date is positively and significantly related to total corpus callosum area effect sizes (β=.76, t(8)=3.26, p=.012).
“Contrary to expectation, publication date was positively related to total CC area effect sizes and the effect was significant (β=.76, t(8)=3.26, p=.012).”
Quote in the paperNot a substantial claim
- Findingown data
No predictor other than age and magnet strength significantly accounted for unique variance in total corpus callosum area effect sizes (largest t(4)=1.95, p=.112).
“None of the other predictors significantly accounted for unique variance (largest t(4)=1.95, p=.112).”
Quote in the paperSubstantial claim - Findingown data
Similar publication-bias results were observed for corpus callosum regions and Witelson subdivisions.
“Similar results were observed for regions and Witelson subdivisions, indicating that publication bias is unlikely to play a substantial role in the present findings.”
Quote in the paperSubstantial claim - Findingown data
The method index did not significantly predict total corpus callosum area effect sizes (β=.45, t(8)=1.43, p=.192).
“The method index did not significantly predict total CC area effect sizes (β=.45, t(8)=1.43, p=.192), indicating that better reporting of study methodology did not influence effect sizes, although the effect was in the expected direction.”
Quote in the paperNot a substantial claim - Findingown data
Increasing average age of study participants predicts a larger total corpus callosum area discrepancy between autism and healthy control groups (t(4)=4.32, p=.012).
“Age was a significant predictor with increasing age indicating a larger discrepancy between participants with autism and healthy controls, t(4)=4.32, p=.012.”
Quote in the paperSubstantial claim - Findingown data
Of the 7 studies reporting a significant total corpus callosum area reduction in autism, 3 had an unadjusted 95% confidence interval that included zero.
“Of the 7 studies reporting a significant reduction of the total CC area in autism, 3 had an unadjusted 95 % confidence interval that included zero; further supporting the need for a meta-analysis of these studies.”
Quote in the paperSubstantial claim - Findingown data
The size of the corpus callosum area reduction in autism becomes smaller from anterior to posterior: anterior d=0.49, mid/body d=0.43, posterior d=0.37.
“All regions showed reductions in size with the magnitude of the effect decreasing caudally (anterior d=.49, mid/body d=.43, posterior d=.37).”
Quote in the paperSubstantial claim- Rests on an assumption: The samples in the included studies are representative of the broader population of individuals with autism.
- Findingown data
Higher magnet strength is a marginally significant predictor of a larger total corpus callosum area discrepancy between autism and healthy control groups (t(4)=2.68, p=.055).
“Magnet strength was also a marginally significant predictor, t(4)=2.68, p=.055, with stronger magnets showing larger discrepancies between autism and healthy controls.”
Quote in the paperNot a substantial claim - Findingown data
The fail safe N indicates that publication bias is an unlikely explanation for the observed effect sizes.
“The fail safe N (see table 2) indicates that publication bias is an unlikely explanation for the observed effect sizes.”
Quote in the paperSubstantial claim - Interpretationreasoning
The present results clarify previous null findings as either underpowered or due to sampling error.
“The present results clarify previous null findings (3 of 10 studies) as either underpowered or due to sampling error.”
Quote in the paperNot a substantial claim - Premisecitation
A recent study using a 3T magnet found a large effect size (d=.73).
“Interestingly, the effect size was found to be large in a recent study using a 3T magnet (d=.73) (23), suggesting that future studies applying newer imaging methodologies (e.g., diffusion tensor imaging or related novel white matter tractography methods) and higher magnet strength are likely to yield larger differentiation of individuals with autism and healthy controls.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] Vidal, 2006, Mapping corpus callosum deficits in autism: An index of aberrant cortical connectivity, Biol Psychiatry source
Not checked in the free run.
- Interpretationown data
Total corpus callosum area reductions in autism are moderated by magnet strength and participant age.
“Total CC reductions were moderated by two major factors: magnet strength and participant age.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Without non-autism developmentally delayed controls, it is difficult to ascertain whether the corpus callosum reduction is specific to autism.
“The present analyses did not include non-autism developmentally delayed controls. Without these controls it is difficult to ascertain whether the CC reduction is specific to autism.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Because the present analysis included only cross-sectional studies, it is difficult to ascertain whether the observed relationship between increasing age and larger total corpus callosum area reductions is an artifact of study differences.
“As the present analysis included only cross-sectional studies, it is difficult to ascertain whether the observed relationship between increasing age and larger reductions in total CC area is an artifact of study differences.”
Quote in the paperSubstantial claim - Study design and conductown data
The small study sample size (k=10) makes conclusions concerning moderating factors less certain.
“The small study sample size (k=10) makes conclusions concerning moderating factors less certain.”
Quote in the paperSubstantial claim - Interpretationreasoning
Disruption of pre-/supplementary motor regions may be the neural substrate for impairments in fine motor skills and imitation observed in autism.
“Pre-/supplementary motor regions are crucial for motor planning and disruption of these regions may be the neural substrate for impairments in fine motor skills and imitation observed in autism.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [52] Larson, 2006, Motor deficits in autism
Not checked in the free run.
- cites [53] Hardan, 2003, Motor performance and anatomical magnetic resonance imaging (MRI) of the basal ganglia in autism, J Child Neurol source
Not checked in the free run.
- cites [54] Rogers, 1996, Imitation and pantomime in high-functioning adolescents with autism spectrum disorders, Child Dev source
Not checked in the free run.
- Rests on an assumption: Pre-/supplementary motor regions are crucial for motor planning.
- Interpretationcitation
The largest reduction at Witelson subdivision 3 (rostral body) indicates disruption of fiber tracts originating in pre-/supplementary motor regions.
“Furthermore, the largest reduction at Witelson subdivision 3 (rostral body) indicates disruption of fiber tracks originating in pre-/supplementary motor regions (35).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Witelson, 1989, Hand and sex differences in the isthmus and genu of the human corpus callosum, Brain source
Not checked in the free run.
- Interpretationcitation
The results are consistent with evidence from investigations of individuals with agenesis of the corpus callosum.
“Results reported here are consistent with evidence from investigations examining individuals with agenesis of the CC, pointing to the role that this structure plays in complex brain functions.”
Quote in the paperNot a substantial claim0 of 10 sources checked- cites [47] Badaruddin, 2007, Social and behavioral problems of children with agenesis of the corpus callosum, Child Psychiatry Hum Dev source
Not checked in the free run.
- cites [48] Brown, 2005, Paralinguistic processing in children with callosal agenesis: Emergence of neurolinguistic deficits, Brain Lang source
Not checked in the free run.
- cites [49] Brown, 2005, Comprehension of humor in primary agenesis of the corpus callosum, Neuropsychologia source
Not checked in the free run.
- cites [57] David, 1993, Severe psychiatric disturbance and abnormalities of the corpus callosum: Review and case series, J Neurol Neurosurg Psychiatry source
Not checked in the free run.
- cites [58] Brown, 2000, Hemispheric equivalence and age-related differences in judgments of simultaneity to somatosensory stimuli, J Clin Exp Neuropsychol source
Not checked in the free run.
- cites [59] Aalto, 2002, Neuroanatomical substrata of amusement and sadness: A PET activation study using film stimuli, Neuroreport source
Not checked in the free run.
- cites [60] Fischer, 1992, Mechanisms of interhemispheric transfer and patterns of cognitive function in acallosal patients of normal intelligence, Arch Neurol source
Not checked in the free run.
- cites [61] Solursh, 1965, The relationships of agenesis of the corpus callosum to perception and learning, J Nerv Ment Dis source
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- cites [62] Brown, 2000, Cognitive and psychosocial deficits in agenesis of the corpus callosum with normal intelligence, Cogn Neuropsychiatry source
Not checked in the free run.
- cites [63] Stickles, 2002, A 23-year review of communication development in an individual with agenesis of the corpus callosum, Int J Disabil Dev Educ source
Not checked in the free run.
- Interpretationcitation
The anterior corpus callosum area reduction provides a neuroanatomical link to the prominent executive dysfunction in autism.
“The greatest reduction of CC area was observed in anterior regions providing a neuroanatomical link to the prominent executive dysfunction in autism (37).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Geurts, 2004, How specific are executive functioning deficits in attention deficit hyperactivity disorder and autism?, J Child Psychol Psychiatry source
Not checked in the free run.
- Premisecitation
Several cognitive and social deficits observed in autism have also been described in individuals with agenesis of the corpus callosum.
“Several cognitive and social deficits observed in autism have also been described in individuals with agenesis of the CC, although not all individuals with these deficits meet full DSM-IV-TR criteria for autistic disorder.”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [47] Badaruddin, 2007, Social and behavioral problems of children with agenesis of the corpus callosum, Child Psychiatry Hum Dev source
Not checked in the free run.
- cites [48] Brown, 2005, Paralinguistic processing in children with callosal agenesis: Emergence of neurolinguistic deficits, Brain Lang source
Not checked in the free run.
- cites [49] Brown, 2005, Comprehension of humor in primary agenesis of the corpus callosum, Neuropsychologia source
Not checked in the free run.
- cites [57] David, 1993, Severe psychiatric disturbance and abnormalities of the corpus callosum: Review and case series, J Neurol Neurosurg Psychiatry source
Not checked in the free run.
- cites [58] Brown, 2000, Hemispheric equivalence and age-related differences in judgments of simultaneity to somatosensory stimuli, J Clin Exp Neuropsychol source
Not checked in the free run.
- cites [59] Aalto, 2002, Neuroanatomical substrata of amusement and sadness: A PET activation study using film stimuli, Neuroreport source
Not checked in the free run.
- cites [60] Fischer, 1992, Mechanisms of interhemispheric transfer and patterns of cognitive function in acallosal patients of normal intelligence, Arch Neurol source
Not checked in the free run.
- cites [61] Solursh, 1965, The relationships of agenesis of the corpus callosum to perception and learning, J Nerv Ment Dis source
Not checked in the free run.
- cites [62] Brown, 2000, Cognitive and psychosocial deficits in agenesis of the corpus callosum with normal intelligence, Cogn Neuropsychiatry source
Not checked in the free run.
- cites [63] Stickles, 2002, A 23-year review of communication development in an individual with agenesis of the corpus callosum, Int J Disabil Dev Educ source
Not checked in the free run.
- Premisecitation
Witelson subdivision 3 (rostral body) contains fiber tracts originating in pre-/supplementary motor regions.
“Witelson sub-division 3 (rostral body) showed the largest effect, indicating greatest reduction in the region containing pre-/supplementary motor neurons.”
- Also stated in: § Discussion · hedged
“Furthermore, the largest reduction at Witelson subdivision 3 (rostral body) indicates disruption of fiber tracks originating in pre-/supplementary motor regions (35).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Witelson, 1989, Hand and sex differences in the isthmus and genu of the human corpus callosum, Brain source
Not checked in the free run.
- Also stated in: § Discussion · hedged
- May combine two claims. 16
- Classified as probably not a substantial claim. 9
May combine two claims.
Findingown dataThe anterior-to-posterior linear trend in corpus callosum area reductions is large (d=1.36) but not statistically significant (F(1,7)=3.23, p=.115).
“Consistent with expectation, area reductions in CC regions showed a very large linear trend (anterior vs. posterior F(1,7)=3.23, p=.115, d=1.36), and did not reach significance probably due to the small sample (k=8).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe observed total corpus callosum effect size is slightly smaller than anticipated and close to the medium range.
“In the present study the weighted mean effect size for the CC was slightly smaller than anticipated. It is close to the medium range and does not appear to be a result of publication bias.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe correlation between Witelson subdivision number and weighted mean effect sizes is large (r=−.52, d=−1.22) but not statistically significant (p=.23).
“Similarly, the correlation between Witelson subdivision (numbered 1-7 anterior to posterior) and weighted mean effect sizes was large (r = −.52, d=−1.22, df=5, p=.23), but did not reach significance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFourteen additional null-effect studies would be needed to reduce the total corpus callosum weighted mean effect size to d=.20, and 86 would be needed to reduce it to d=.05.
“Fourteen additional studies each contributing a null effect size (d=.00) would be needed to reduce the observed weighted mean effect size for total CC area to a small effect (d=.20). Eighty-six new studies would be needed to reduce the observed effect size to a negligible effect (d=.05).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEvery corpus callosum region examined (anterior, mid/body, posterior) and every Witelson subdivision shows a significant area reduction in autism.
“All regions showed reductions in size with the magnitude of the effect decreasing caudally (anterior d=.49, mid/body d=.43, posterior d=.37).”
- Also stated in: § Results · plain
“Areas for each CC region and Witelson subdivision were also significantly reduced in autism (smallest z = 3.07, p<.001).”
Quote in the paperSubstantial claim- Rests on an assumption: The samples in the included studies are representative of the broader population of individuals with autism.
- Also stated in: § Results · plain
May combine two claims.
Findingown dataIn individuals with autism compared with healthy controls, total corpus callosum area is significantly reduced, with a medium weighted mean effect size of d=0.48 (95% CI 0.30-0.66).
“Total CC area was reduced in autism and the magnitude of the reduction was medium (Weighted Mean d=.48, 95% CI=.30-.66).”
- Also stated in: § Results · plain
“Consistent with expectation, total CC area was significantly reduced in autism patients (z = 5.17, p<.0001).”
- Also stated in: § Discussion · hedged
“The present meta-analytic results indicate that total CC area is smaller in autism”
Quote in the paperSubstantial claim- Rests on an assumption: The samples in the included studies are representative of the broader population of individuals with autism.
- Also stated in: § Results · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationPublication bias was examined by creating a funnel plot and calculating the fail safe N.
“The file drawer problem (publication bias) was examined by creating a funnel plot and calculating the fail safe N (45).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Orwin, 1983, A fail-safe N for effect size in meta analysis, J Educ Stat source
Not checked in the free run.
May combine two claims.
InterpretationreasoningDespite evidence of moderate group-level corpus callosum area reductions, not all individuals with autism exhibit reduction in the size of this structure.
“Despite evidence suggesting moderate reductions in CC area at the group level, not all individuals with autism exhibit reduction in the size of this structure.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe data suggest that brain connectivity is likely impaired in most regions, as shown by alterations of all corpus callosum subdivisions and supported by functional studies.
“These data suggest that brain connectivity is likely to be impaired in most regions as evidenced by alterations of all CC subdivisions and is supported by several functional studies implicating multiple cortical including frontal, and parietal regions (17, 19, 20, 51).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [17] Just, 2007, Functional and anatomical cortical underconnectivity in autism: Evidence from an fMRI study of an executive function task and corpus callosum morphometry, Cereb Cortex source
Not checked in the free run.
- cites [19] Koshino, 2005, Functional connectivity in an fMRI working memory task in high functioning autism, Neuroimage source
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- cites [20] Just, 2004, Cortical activation and synchronization during sentence comprehension in high-functioning autism: Evidence of underconnectivity, Brain source
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- cites [51] Kana, 2006, Sentence comprehension in autism: Thing in pictures with decreased functional connectivity, Brain source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe present data may suggest reduced functional output of mirror neuron regions or decreased hemispheric cross-talk between mirror neuron regions, which may contribute to reduced attunement to others' intentions.
“Thus, the present data may suggest reduced functional output of mirror neuron regions or decreased hemispheric cross-talk between mirror neuron regions. In turn, reduced output or cross-talk of these regions may contribute to reduced attunement to others’ intentions (56).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [55] Oberman, 2007, The simulating social mind: The role of the mirror neuron system and simulation in the social and communicative deficits of autism spectrum disorders, Psychol Bull source
Not checked in the free run.
- cites [56] Gallese, 2007, Intentional attunement: Mirror neurons and the neural underpinnings of interpersonal relations, J Am Psychoanal Assoc source
Not checked in the free run.
May combine two claims.
Study design and conductnone givenSeveral studies did not include Witelson subdivisions, reducing the ability to statistically examine finer grained differences among corpus callosum regions.
“Several studies did not include Witelson subdivisions, reducing the ability to statistically examine finer grained differences among CC regions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningFuture studies using newer imaging methodologies and higher magnet strength are likely to yield larger differentiation between individuals with autism and healthy controls.
“Interestingly, the effect size was found to be large in a recent study using a 3T magnet (d=.73) (23), suggesting that future studies applying newer imaging methodologies (e.g., diffusion tensor imaging or related novel white matter tractography methods) and higher magnet strength are likely to yield larger differentiation of individuals with autism and healthy controls.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudies of other neuropsychiatric disorders have reported alterations of corpus callosum size.
“In fact, studies of other neuropsychiatric disorders have reported alterations of CC size (65).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] Hutchinson, 2008, Corpus callosum morphology in children and adolescents with attention deficit hyperactivity disorder: A meta-analytic review, Neuropsychology source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe findings are concordant with studies using other imaging methods and support the aberrant connectivity hypothesis in autism.
“Findings were concordant with studies applying other imaging methods, supporting the aberrant connectivity hypothesis in autism (15-18).”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [15] Herbert, 2004, Localization of white matter volume increase in autism and developmental disorder, Ann Neurol source
Not checked in the free run.
- cites [16] Horwitz, 1988, The cerebral metabolic landscape in autism: Intercorrelations of regional glucose utilization, Arch Neurol source
Not checked in the free run.
- cites [17] Just, 2007, Functional and anatomical cortical underconnectivity in autism: Evidence from an fMRI study of an executive function task and corpus callosum morphometry, Cereb Cortex source
Not checked in the free run.
- cites [18] Castelli, 2002, Autism, Asperger syndrome, and brain mechanisms for the attribution of mental states to animated shapes, Brain source
Not checked in the free run.
May combine two claims.
Study design and conductown dataRandom effects models indicated little change in weighted mean effect sizes and negligible widening of confidence intervals relative to fixed effects models.
“Random effects models indicated little change in weighted mean effect sizes and negligible widening of confidence intervals relative to fixed effects models.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenHeterogeneity of study methods and samples complicates interpretation of moderating factors.
“Similarly, as in any meta-analysis, the heterogeneity of study methods and samples complicate interpretation of moderating factors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMeta-regression analyses were restricted to a priori hypotheses regarding average age, correction for total brain volume, functional level of autism participants, magnet strength, and method index as moderators of total corpus callosum effect sizes.
“These analyses were restricted to a priori hypotheses regarding average age, correction for total brain volume, functional level of autism participants, magnet strength, and method index as moderators of total CC effect sizes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent imaging studies in autism have shown that the most abnormal aspect of brain development in this disorder is often the time course and trajectory rather than the final product.
“This is particularly relevant since recent imaging studies in autism have shown that the most abnormal aspect of brain development in this disorder is often the time course and trajectory rather the final product (2, 39).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Study design and conductown dataThe body of included studies contained a number of methodologically rigorous reports, with 6 of 10 studies scoring 12.5 or above on the method index (median=12.75).
“Importantly, the body of studies included a number of methodologically rigorous reports, with 6 of the 10 studies receiving scores of 12.5 or above (out of 15) on the method index (median=12.75).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe corpus callosum is the main fiber tract connecting the hemispheres and is topographically organized.
“The corpus callosum (CC) is the main fiber tract connecting the hemispheres and is topographically organized (35).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Witelson, 1989, Hand and sex differences in the isthmus and genu of the human corpus callosum, Brain source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationAberrant connectivity theory posits dysfunction in long-distance connections between cortical brain regions in autism, resulting in impairments in complex cognitive processes such as executive functions, social cognition, and language.
“Aberrant connectivity theory posits dysfunction in the long-distance connections between cortical brain regions in autism, resulting in impairments in complex cognitive processes such as executive functions, social cognition, and language (14).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Williams, 2007, Understanding autism and related disorders: What has imaging taught us?, Neuroimaging Clin N Am source
Not checked in the free run.
May combine two claims.
PremisecitationAnterior corpus callosum regions represent fibers from prefrontal cortices; mid/body regions contain fibers from premotor, motor, parietal, and superior temporal cortices; and the posterior region represents fibers from inferior temporal and occipital cortices.
“Anterior CC regions represent fibers from pre-frontal cortices; mid/body regions are composed of fibers from pre-motor, motor, parietal, and superior temporal cortices; and the posterior region represents fibers from inferior temporal and occipital cortices (25).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Hardan, 2000, Corpus callosum size in autism, Neurology source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe corpus callosum provides integrated inter-hemispheric communication between homotopic and heterotopic cortical regions.
“The CC provides integrated inter-hemispheric communication between homotopic and heterotopic cortical regions (50).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [50] Paul, 2007, Agenesis of the corpus callosum: Genetic, developmental and functional aspects of connectivity, Nat Rev Neurosci source
Not checked in the free run.
The paper relies on this without support.
Pre-/supplementary motor regions are crucial for motor planning.
“Pre-/supplementary motor regions are crucial for motor planning and disruption of these regions may be the neural substrate for impairments in fine motor skills and imitation observed in autism.”
The paper relies on this without support.
The samples in the included studies are representative of the broader population of individuals with autism.
“CC reductions are present in autism and support the aberrant connectivity hypothesis.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Patients with agenesis of corpus callosum show difficulties in language and social communication, and decreased volume of the corpus callosum has been found in ASD.
“Patients with agenesis of corpus callosum show difficulties in language and social communication [45, 276, 357], and decreased volume of the corpus callosum has been found in ASD (see meta-analysis in [114]).”
From Autism spectrum disorder: neuropathology and animal models (2017) · cites this paper as [114]
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
Inconsistent p-value: t(4)=1.95, p = .112
MinorThe paper reports p = .112 here; recomputing from the test statistic and its degrees of freedom gives p = .123 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .112 · recomputed p = .123
“t(4)=1.95, p=.112”
Inconsistent p-value: z = 3.07, p < .001
MinorThe paper reports p < .001 here; recomputing from the test statistic and its degrees of freedom gives p = .002 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.
Reported p < .001 · recomputed p = .002
“z = 3.07, p<.001”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Doesn’t add upz = 3.07reported p < .001 · recomputed p = .002
“z = 3.07, p < .001”
- Doesn’t add upt(4) = 1.95reported p = .112 · recomputed p = .123
“t(4)=1.95, p = .112”
- Consistentz = 5.17reported p < .0001 · recomputed p < .001
“(z = 5.17, p < .0001”
- ConsistentF(1, 7) = 3.23reported p = .115 · recomputed p = .115
“F(1,7)=3.23, p = .115”
- ConsistentF(5, 4) = 15.76reported p = .01 · recomputed p = .010
“F(5,4)=15.76, p = .010”
- Consistentt(4) = 4.32reported p = .012 · recomputed p = .012
“t(4)=4.32, p = .012”
- Consistentt(4) = 2.68reported p = .055 · recomputed p = .055
“t(4)=2.68, p = .055”
- Consistentt(8) = 3.26reported p = .012 · recomputed p = .012
“t(8)=3.26, p = .012”
- Consistentt(8) = 1.43reported p = .192 · recomputed p = .191
“t(8)=1.43, p = .192”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Self-check results appear here once an independent check has confirmed them.
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,406 · see citing works
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,347 · see citing works
(2000) · Cited by 9,198 · see citing works
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065 · see citing works
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,832 · see citing works
Meta-Analytic Procedures for Social Research
Rosenthal, R. (1991) · doi:10.4135/9781412984997 · Cited by 4,635 · see citing works
Meta-Analytic Procedures for Social Research.
Metcalfe, A., & Rosenthal, R. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348600 · Cited by 4,249 · see citing works
J Neuropsychiatry Clin Neurosci
Yudofsky, S. C., & Hales, R. E. (1992) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/jnp.4.4.359 · Cited by 3,818 · see citing works
A Fail-Safe N for Effect Size in Meta-Analysis
Orwin, R. G. (1983) · Journal of Educational Statistics · doi:10.2307/1164923 · Cited by 2,064 · see citing works
Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging
Lenroot, R. K., & Giedd, J. N. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.001 · Cited by 1,863 · see citing works
Just, M. A. (2004) · Brain · doi:10.1093/brain/awh199 · Cited by 1,589 · see citing works
Amaral, D. G., Schumann, C. M., & Nordahl, C. W. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2007.12.005 · Cited by 1,492 · see citing works
Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study
Courchesne, E., Karns, C. M., Davis, H. R., Ziccardi, R., Carper, R. A., Tigue, Z. D., Chisum, H. J., Moses, P., Pierce, K., Lord, C., et al. (2001) · Neurology · doi:10.1212/wnl.57.2.245 · Cited by 1,487 · see citing works
WITELSON, S. F. (1989) · Brain · doi:10.1093/brain/112.3.799 · Cited by 1,424 · see citing works
Castelli, F. (2002) · Brain · doi:10.1093/brain/awf189 · Cited by 1,377 · see citing works
Evidence of Brain Overgrowth in the First Year of Life in Autism
Courchesne, E. (2003) · JAMA · doi:10.1001/jama.290.3.337 · Cited by 1,120 · see citing works
A clinicopathological study of autism
Bailey, A. (1998) · Brain · doi:10.1093/brain/121.5.889 · Cited by 1,083 · see citing works
Just, M. A., Cherkassky, V. L., Keller, T. A., Kana, R. K., & Minshew, N. J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl006 · Cited by 1,081 · see citing works
Pten Regulates Neuronal Arborization and Social Interaction in Mice
Kwon, C.-H., Luikart, B. W., Powell, C. M., Zhou, J., Matheny, S. A., Zhang, W., Li, Y., Baker, S. J., & Parada, L. F. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.023 · Cited by 970 · see citing works
Minicolumnar pathology in autism
Casanova, M. F., Buxhoeveden, D. P., Switala, A. E., & Roy, E. (2002) · Neurology · doi:10.1212/wnl.58.3.428 · Cited by 846 · see citing works
Agenesis of the corpus callosum: Genetic, developmental and functional aspects of connectivity
Paul, L. K., Brown, W. S., Adolphs, R., Tyszka, J. M., Richards, L. J., Mukherjee, P., & Sherr, E. H. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2107 · Cited by 830 · see citing works
Butler, M. G., Dasouki, M. J., Zhou, X.-P., Talebizadeh, Z., Brown, M., Takahashi, T. N., Miles, J. H., Wang, C. H., Stratton, R., Pilarski, R., et al. (2005) · Journal of Medical Genetics · doi:10.1136/jmg.2004.024646 · Cited by 778 · see citing works
Brief Report: Specific Executive Function Profiles in Three Neurodevelopmental Disorders
Ozonoff, S., & Jensen, J. (1999) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1023052913110 · Cited by 724 · see citing works
Geurts, H. M., Verté, S., Oosterlaan, J., Roeyers, H., & Sergeant, J. A. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00276.x · Cited by 705 · see citing works
Localization of white matter volume increase in autism and developmental language disorder
Herbert, M. R., Ziegler, D. A., Makris, N., Filipek, P. A., Kemper, T. L., Normandin, J. J., Sanders, H. A., Kennedy, D. N., & Caviness, V. S. (2004) · Annals of Neurology · doi:10.1002/ana.20032 · Cited by 663 · see citing works
Oberman, L. M., & Ramachandran, V. S. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.2.310 · Cited by 630 · see citing works
Functional connectivity in an fMRI working memory task in high-functioning autism
Koshino, H., Carpenter, P. A., Minshew, N. J., Cherkassky, V. L., Keller, T. A., & Just, M. A. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.028 · Cited by 614 · see citing works
Diffusion tensor imaging of the corpus callosum in Autism
Alexander, A. L., Lee, J. E., Lazar, M., Boudos, R., DuBray, M. B., Oakes, T. R., Miller, J. N., Lu, J. K., Jeong, E., McMahon, W. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.032 · Cited by 593 · see citing works
Sentence comprehension in autism: thinking in pictures with decreased functional connectivity
Kana, R. K. (2006) · Brain · doi:10.1093/brain/awl164 · Cited by 530 · see citing works
Pardo, C. A., & Eberhart, C. G. (2007) · Brain Pathology · doi:10.1111/j.1750-3639.2007.00102.x · Cited by 514 · see citing works
Intentional attunement: Mirror neurons and the neural underpinnings of interpersonal relations
Gallese, V., Eagle, M. N., & Migone, P. (2007) · Journal of the American Psychoanalytic Association · doi:10.1177/00030651070550010601 · Cited by 496 · see citing works
An MRI study of brain size in autism
Piven, J., Arndt, S. V., Bailey, J. N., Havercamp, S. M., Andreasen, N. C., & Palmer, P. (1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.8.1145 · Cited by 417 · see citing works
Reduced Size of Corpus Callosum in Autism
Egaas, B., Courchesne, E., & Saitoh, O. (1995) · Archives of Neurology · doi:10.1001/archneur.1995.00540320070014 · Cited by 361 · see citing works
An MRI study of the corpus callosum in autism
Piven, J., Bailey, J. M., Ranson, B. J., & Arndt, S. V. (1997) · American Journal of Psychiatry · doi:10.1176/ajp.154.8.1051 · Cited by 338 · see citing works
The Cerebral Metabolic Landscape in Autism: Intercorrelations of Regional Glucose Utilization
Horwitz, B. (1988) · Archives of Neurology · doi:10.1001/archneur.1988.00520310055018 · Cited by 331 · see citing works
Imitation and Pantomime in High-Functioning Adolescents with Autism Spectrum Disorders
Rogers, S. J., Bennetto, L., McEvoy, R. E., & Pennington, B. F. (1996) · Child Development · doi:10.1111/j.1467-8624.1996.tb01843.x · Cited by 250 · see citing works
Mapping corpus callosum deficits in autism: An index of aberrant cortical connectivity
Vidal, C. N., Nicolson, R., DeVito, T. J., Hayashi, K. M., Geaga, J. A., Drost, D. J., Williamson, P. C., Rajakumar, N., Sui, Y., Dutton, R. A., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.11.011 · Cited by 244 · see citing works
Corpus callosum size in autism
Hardan, A. Y., Minshew, N. J., & Keshavan, M. S. (2000) · Neurology · doi:10.1212/wnl.55.7.1033 · Cited by 243 · see citing works
Self-citationImitation and pantomime in high-functioning adolescents with autism spectrum disorders
Rogers, S. J., Bennetto, L., McEvoy, R., & Pennington, B. F. (1996) · Child Development · doi:10.2307/1131609 · Cited by 207 · see citing works
Waiter, G. D., Williams, J. H. G., Murray, A. D., Gilchrist, A., Perrett, D. I., & Whiten, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.049 · Cited by 188 · see citing works
An MRI Study of the Corpus Callosum and Cerebellum in Mentally Retarded Autistic Individuals
Manes, F. F., Piven, J., Vrancic, D., Nanclares-Nogués, V., Plebst, C., & STARKSTEIN, S. E. (1999) · Journal of Neuropsychiatry · doi:10.1176/jnp.11.4.470 · Cited by 172 · see citing works
Hardan, A. Y., Minshew, N. J., Mallikarjuhn, M., & Keshavan, M. S. (2001) · Journal of Child Neurology · doi:10.1177/088307380101600607 · Cited by 171 · see citing works
Self-citationLess white matter concentration in autism: 2D voxel-based morphometry
Chung, M. K., Dalton, K. M., Alexander, A. L., & Davidson, R. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.037 · Cited by 155 · see citing works
Social and behavioral problems of children with agenesis of the corpus callosum
Badaruddin, D. H., Andrews, G. L., Bölte, S., Schilmoeller, K. J., Schilmoeller, G., Paul, L. K., & Brown, W. S. (2007) · Child Psychiatry and Human Development · doi:10.1007/s10578-007-0065-6 · Cited by 150 · see citing works
Genetic disorders associated with macrocephaly
Williams, C. A., Dagli, A. I., & Battaglia, A. (2008) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.32434 · Cited by 141 · see citing works
Motor Performance and Anatomic Magnetic Resonance Imaging (MRI) of the Basal Ganglia in Autism
Hardan, A. Y., Kilpatrick, M., Keshavan, M. S., & Minshew, N. J. (2003) · Journal of Child Neurology · doi:10.1177/08830738030180050801 · Cited by 131 · see citing works
Self-citationCorpus Callosum Morphometrics in Young Children with Autism Spectrum Disorder
Boger-Megiddo, I., Shaw, D., Friedman, S. D., Sparks, B. F., Artru, A. A., Giedd, J. N., Dawson, G., & Dager, S. R. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-006-0121-2 · Cited by 120 · see citing works
Midsagittal Magnetic Resonance Imaging of Autism
Gaffney, G., Samuel Kuperman, C., Tsai, L. Y., Minchin, S., & Hassanein, K. M. (1987) · The British Journal of Psychiatry · doi:10.1192/bjp.151.6.831 · Cited by 119 · see citing works
Cognitive and psychosocial deficits in agenesis of the corpus callosum with normal intelligence
Brown, W. S., & Paul, L. K. (2000) · Cognitive Neuropsychiatry · doi:10.1080/135468000395781 · Cited by 117 · see citing works
Severe psychiatric disturbance and abnormalities of the corpus callosum: Review and case series
David, A. S., Wacharasindhu, A., & Lishman, W. A. (1993) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.56.1.85 · Cited by 115 · see citing works
Fischer, M., Ryan, S. B., & Dobyns, W. B. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530270085023 · Cited by 110 · see citing works
Comprehension of humor in primary agenesis of the corpus callosum
Brown, W. S., Paul, L. K., Symington, M., & Dietrich, R. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.09.008 · Cited by 98 · see citing works
Autism: A Neurological Disorder of Early Brain Development
Golumbek, P. T. (2007) · Archives of Neurology · doi:10.1001/archneur.64.5.761 · Cited by 74 · see citing works
Understanding autism and related disorders: What has imaging taught us?
Williams, D. L., & Minshew, N. J. (2007) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2007.07.007 · Cited by 71 · see citing works
Neuroanatomical substrata of amusement and sadness: A PET activation study using film stimuli
Aalto, S., Näätänen, P., Wallius, E., Metsähonkala, L., Stenman, H., Niemi, P. M., & Karlsson, H. (2002) · Neuroreport · doi:10.1097/00001756-200201210-00018 · Cited by 68 · see citing works
Structural correlates of intellectual impairment and autistic features in adolescents
Spencer, M. D., Moorhead, T. W. J., Lymer, G. K. S., Job, D. E., Muir, W. J., Hoare, P. G., Owens, D. G. C., Lawrie, S. M., & Johnstone, E. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.011 · Cited by 61 · see citing works
Paralinguistic processing in children with callosal agenesis: Emergence of neurolinguistic deficits
Brown, W. S., Symingtion, M., VanLancker-Sidtis, D., Dietrich, R., & Paul, L. K. (2005) · Brain and Language · doi:10.1016/j.bandl.2004.09.003 · Cited by 61 · see citing works
Connectionism and Developmental Psychology
Plunkett, K., Karmiloff‐Smith, A., Bates, E. A., Elman, J. L., & Johnson, M. H. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01505.x · Cited by 58 · see citing works
Autism: a neurological disorder of early brain development
Tuchman, R. F., & Rapin, I. (2006) · Medical Entomology and Zoology · Cited by 56 · see citing works
Hutchinson, A. D., Mathias, J. L., & Banich, M. T. (2008) · Neuropsychology · doi:10.1037/0894-4105.22.3.341 · Cited by 56 · see citing works
Elia, M., Ferri, R., Musumeci, S. A., Panerai, S., Bottitta, M., & Scuderi, C. (2000) · Journal of Child Neurology · doi:10.1177/088307380001500802 · Cited by 56 · see citing works
Increased Rate of Head Growth During Infancy in Autism
Lainhart, J. E. (2003) · JAMA · doi:10.1001/jama.290.3.393 · Cited by 45 · see citing works
The relationships of agenesis of the corpus callosum to perception and learning
SOLURSH, L. P., MARGULIES, A. I., ASHEM, B., & STASIAK, E. A. (1965) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-196508000-00005 · Cited by 43 · see citing works
Early Acceleration of Head Circumference in Children with Fragile X Syndrome and Autism
Chiu, S., Wegelin, J. A., Blank, J., Jenkins, M., Day, J., Hessl, D. R., Tassone, F., & Hagerman, R. J. (2007) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/01.dbp.0000257518.60083.2d · Cited by 38 · see citing works
Macrocephaly, Corpus Callosum Morphology, and Autism
Rice, S. A., Bigler, E. D., Cleavinger, H. B., Tate, D. F., Sayer, J., McMahon, W., Ozonoff, S. J., Lu, J. Z., & Lainhart, J. E. (2005) · Journal of Child Neurology · doi:10.1177/08830738050200010601 · Cited by 38 · see citing works
Brown, L. N., & Sainsbury, R. S. (2000) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/1380-3395(200010)22:5;1-9;ft587 · Cited by 35 · see citing works
Whyatt, C. P., Craig, C., & McPhillips, M. (2010) · Research Portal (Queen's University Belfast) · Cited by 34 · see citing works
A 23-year review of communication development in an individual with agenesis of the corpus callosum
Stickles, J. L., Schilmoeller, G. L., & Schilmoeller, K. J. (2002) · International Journal of Disability, Development and Education · doi:10.1080/1034912022000028349 · Cited by 27 · see citing works
Cognitive neuroscience of autism
Tager-Flusberg, H. B. (2008) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617708081423 · Cited by 5 · see citing works
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Lai, M.-C., Lombardo, M. V., & Baron-Cohen, S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61539-1 · Cited by 2,371 · see citing works
Why are autism spectrum conditions more prevalent in males?
Baron-Cohen, S., Lombardo, M. V., Auyeung, B., Ashwin, E., Chakrabarti, B., & Knickmeyer, R. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001081 · Cited by 754 · see citing works
Autism spectrum disorder: neuropathology and animal models
Varghese, M., Keshav, N., Jacot-Descombes, S., Warda, T., Wicinski, B., Dickstein, D. L., Harony-Nicolas, H., De Rubeis, S., Drapeau, E., Buxbaum, J. D., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1736-4 · Cited by 536 · see citing works
Altered neural connectivity in excitatory and inhibitory cortical circuits in autism
Zikopoulos, B., & Barbas, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00609 · Cited by 313 · see citing works
Distortions and disconnections: Disrupted brain connectivity in autism
Wass, S. V. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2010.10.005 · Cited by 317 · see citing works
Anatomical Abnormalities in Autism?
Haar, S., Berman, S., Behrmann, M., & Dinstein, I. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu242 · Cited by 292 · see citing works
Sensory Symptoms in Autism Spectrum Disorders
Hazen, E. P., Stornelli, J. L., O’Rourke, J. A., Koesterer, K., & McDougle, C. J. (2014) · Harvard Review of Psychiatry · doi:10.1097/01.hrp.0000445143.08773.58 · Cited by 274 · see citing works
Inter-Regional Brain Communication and Its Disturbance in Autism
Schipul, S. E., Keller, T. A., & Just, M. A. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00010 · Cited by 223 · see citing works
Altered corpus callosum morphology associated with autism over the first 2 years of life
Wolff, J. J., Gerig, G., Lewis, J. D., Soda, T., Styner, M. A., Vachet, C., Botteron, K. N., Elison, J. T., Dager, S. R., Estes, A. M., et al. (2015) · Brain · doi:10.1093/brain/awv118 · Cited by 203 · see citing works
Structural and functional magnetic resonance imaging of autism spectrum disorders
Stigler, K. A., McDonald, B. C., Anand, A., Saykin, A. J., & McDougle, C. J. (2011) · Brain Research · doi:10.1016/j.brainres.2010.11.076 · Cited by 197 · see citing works
Uddin, L. Q., Menon, V., Young, C. B., Ryali, S., Chen, T., Khouzam, A., Minshew, N. J., & Hardan, A. Y. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.07.014 · Cited by 187 · see citing works
Self-citationAoki, Y. Y., Abe, O., Nippashi, Y., & Yamasue, H. (2013) · Molecular Autism · doi:10.1186/2040-2392-4-25 · Cited by 184 · see citing works
Stephenson, D. T., O'Neill, S. M., Narayan, S., Tiwari, A., Arnold, E., Samaroo, H. D., Du, F., Ring, R. H., Campbell, B., Pletcher, M., et al. (2011) · Molecular Autism · doi:10.1186/2040-2392-2-7 · Cited by 180 · see citing works
Frazier, T. W., Embacher, R., Tilot, A. K., Koenig, K., Mester, J., & Eng, C. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.125 · Cited by 177 · see citing works
Self-citationIntact Bilateral Resting-State Networks in the Absence of the Corpus Callosum
Tyszka, J. M., Kennedy, D. P., Adolphs, R., & Paul, L. K. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1453-11.2011 · Cited by 167 · see citing works
Damarla, S. R., Keller, T. A., Kana, R. K., Cherkassky, V. L., Williams, D. L., Minshew, N. J., & Just, M. A. (2010) · Autism Research · doi:10.1002/aur.153 · Cited by 165 · see citing works
Altered Connectivity and Action Model Formation in Autism Is Autism
Mostofsky, S. H., & Ewen, J. B. (2011) · The Neuroscientist · doi:10.1177/1073858410392381 · Cited by 164 · see citing works
Shukla, D. K., Keehn, B., Lincoln, A. J., & Müller, R. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.08.018 · Cited by 161 · see citing works
Autism Spectrum Disorders in Older Adults: Toward Defining a Research Agenda
Piven, J., Rabins, P. V., & on behalf of the Autism‐in‐Older Adults Working Group (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2011.03632.x · Cited by 163 · see citing works
Pagnozzi, A. M., Conti, E., Calderoni, S., Fripp, J., & Rose, S. (2018) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2018.08.010 · Cited by 162 · see citing works
Thomas, C., Humphreys, K., Jung, K., Minshew, N. J., & Behrmann, M. (2010) · Cortex · doi:10.1016/j.cortex.2010.07.006 · Cited by 161 · see citing works
Complexity of spontaneous brain activity in mental disorders
Takahashi, T. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.05.001 · Cited by 157 · see citing works
Frontal networks in adults with autism spectrum disorder
Catani, M., Dell’Acqua, F., Budisavljević, S., Howells, H., de Schotten, M. T., Froudist‐Walsh, S., D’Anna, L., Thompson, A., Sandrone, S., Bullmore, E. T., et al. (2016) · Brain · doi:10.1093/brain/awv351 · Cited by 153 · see citing works
A Noncoding RNA Antisense to Moesin at 5p14.1 in Autism
Kerin, T., Ramanathan, A., Rivas, K. L., Grepo, N., Coetzee, G. A., & Campbell, D. B. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003479 · Cited by 149 · see citing works
Floris, D. L., Barber, A. D., Nebel, M. B., Martinelli, M., Lai, M., Crocetti, D., Baron‐Cohen, S., John Suckling, A., Pekar, J. J., & Mostofsky, S. H. (2016) · Molecular Autism · doi:10.1186/s13229-016-0096-6 · Cited by 148 · see citing works
The Impact of Neuroimmune Alterations in Autism Spectrum Disorder
Gottfried, C., Bambini-Junior, V., Francis, F., Riesgo, R., & Savino, W. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00121 · Cited by 143 · see citing works
Decreased frontal gyrification correlates with altered connectivity in children with autism
Schaer, M., Ottet, M.-C., Scariati, E., Dukes, D., Franchini, M., D, S. E. M., & Glaser, B. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00750 · Cited by 142 · see citing works
Candidate Biomarkers in Children with Autism Spectrum Disorder: A Review of MRI Studies
Li, D., Karnath, H., & Xu, X. (2017) · Neuroscience Bulletin · doi:10.1007/s12264-017-0118-1 · Cited by 139 · see citing works
Jou, R. J., Jackowski, A. P., Papademetris, X., Rajeevan, N., Staib, L. H., & Volkmar, F. R. (2010) · Australian & New Zealand Journal of Psychiatry · doi:10.3109/00048674.2010.534069 · Cited by 138 · see citing works
Defensor, E. B., Pearson, B. L., Pobbe, R. L. H., Bolivar, V. J., Blanchard, D. C., & Blanchard, R. J. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.10.033 · Cited by 136 · see citing works
Human neuroimaging as a “Big Data” science
Horn, J. D. V., & Toga, A. W. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9255-y · Cited by 136 · see citing works
Ellegood, J., Babineau, B. A., Henkelman, R. M., Lerch, J. P., & Crawley, J. N. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.029 · Cited by 135 · see citing works
Behavioral and Neuroanatomical Phenotypes in Mouse Models of Autism
Ellegood, J., & Crawley, J. N. (2015) · Neurotherapeutics · doi:10.1007/s13311-015-0360-z · Cited by 132 · see citing works
Veenstra-VanderWeele, J., & Blakely, R. D. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.185 · Cited by 128 · see citing works
Dodero, L., Damiano, M., Galbusera, A., Bifone, A., Tsaftsaris, S. A., Scattoni, M. L., & Gozzi, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076655 · Cited by 116 · see citing works
Lefebvre, A., Beggiato, A., Bourgeron, T., & Toro, R. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.010 · Cited by 123 · see citing works
Agenesis of the corpus callosum: A clinical approach to diagnosis
Palmer, E. E., & Mowat, D. R. (2014) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.31405 · Cited by 122 · see citing works
Network inefficiencies in autism spectrum disorder at 24 months.
Lewis, J. D., Evans, A. C., Pruett, J. R., Botteron, K., Zwaigenbaum, L., Estes, A., Gerig, G., Collins, L., Kostopoulos, P., McKinstry, R., et al. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.24 · Cited by 110 · see citing works
Modeling psychiatric disorders at the cellular and network levels
Brennand, K. J., Simone, A., Tran, N., & Gage, F. H. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.20 · Cited by 119 · see citing works
Jou, R. J., Mateljevic, N., Kaiser, M. D., Sugrue, D. R., Volkmar, F. R., & Pelphrey, K. A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2558 · Cited by 118 · see citing works
Monoamine oxidase A and A/B knockout mice display autistic-like features
Bortolato, M., Godar, S. C., Alzghoul, L., Zhang, J., Darling, R. D., Simpson, K. L., Bini, V., Chen, K., Wellman, C. L., Lin, R. C. S., et al. (2012) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145712000715 · Cited by 118 · see citing works
The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder
Lewis, J. D., Evans, A. C., Pruett, J. R., Botteron, K. N., McKinstry, R. C., Zwaigenbaum, L., Estes, A. M., Collins, D. L., Kostopoulos, P., Gerig, G., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.03.006 · Cited by 113 · see citing works
Sajan, S. A., Fernández, L., Nieh, S. E., Rider, E., Bukshpun, P., Wakahiro, M. L. J., Christian, S. L., Rivière, J., Sullivan, C. T., Sudi, J., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003823 · Cited by 113 · see citing works
Dougherty, C. C., Evans, D. W., Myers, S. M., Moore, G. J., & Michael, A. M. (2016) · Neuropsychology Review · doi:10.1007/s11065-015-9300-2 · Cited by 104 · see citing works
The Contribution of the Corpus Callosum to Language Lateralization
Hinkley, L. B. N., Marco, E. J., Brown, E. G., Bukshpun, P., Gold, J., Hill, S. S., Findlay, A. M., Jeremy, R. J., Wakahiro, M. L. J., Barkovich, A. J., et al. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3850-14.2016 · Cited by 103 · see citing works
The neurobiology of autism spectrum disorders
Parellada, M., Penzol, M. J., Pina‐Camacho, L., Moreno, C., González‐Vioque, E., Zalsman, G., & Arango, C. (2013) · European Psychiatry · doi:10.1016/j.eurpsy.2013.02.005 · Cited by 101 · see citing works
Altered functional connectivity networks in acallosal and socially impaired BTBR mice
Sforazzini, F., Bertero, A., Dodero, L., Dávid, G., Galbusera, A., Scattoni, M. L., Pasqualetti, M., & Gozzi, A. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0948-9 · Cited by 95 · see citing works
Suicidal Behavior Is Associated with Reduced Corpus Callosum Area
Cyprien, F., Courtet, P., Malafosse, A., Maller, J. J., Meslin, C., Bonafé, A., Bars, E. L., de Champfleur, N. M., Ritchie, K. A., & Artéro, S. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.035 · Cited by 90 · see citing works
Bocchi, R., Egervari, K. L., Carol-Perdiguer, L., Viale, B., Quairiaux, C., Roo, M. D., Boitard, M., Oskouie, S. K., Salmon, P., & Kiss, J. Z. (2017) · Nature Communications · doi:10.1038/s41467-017-01046-w · Cited by 90 · see citing works
Travers, B. G., Tromp, D., Adluru, N., LANGE, N. D., Destiche, D., Ennis, C. M., Nielsen, J. A., Froehlich, A. L., Prigge, M. B. D., Fletcher, P. T., et al. (2015) · Molecular Autism · doi:10.1186/s13229-015-0001-8 · Cited by 90 · see citing works
Autism Traits in Individuals with Agenesis of the Corpus Callosum
Lau, Y. C., Hinkley, L. B. N., Bukshpun, P., Strominger, Z. A., Wakahiro, M. L. J., Baron‐Cohen, S., Allison, C. L., Bonnie Auyeung, B., Jeremy, R. J., Nagarajan, S. S., et al. (2012) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1653-2 · Cited by 89 · see citing works
Linke, A. C., Jao Keehn, R. J., Pueschel, E. B., Fishman, I., & Müller, R.-A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.01.007 · Cited by 88 · see citing works
Contralateral targeting of the corpus callosum in normal and pathological brain function
Fenlon, L. R., & Richards, L. J. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.02.007 · Cited by 87 · see citing works
Sex differences in the corpus callosum in preschool-aged children with autism spectrum disorder
Nordahl, C. W., Iosif, A., Young, G. S., Perry, L. M., Dougherty, R. F., Lee, A., Li, D., Buonocore, M. H., Simon, T., Rogers, S. J., et al. (2015) · Molecular Autism · doi:10.1186/s13229-015-0005-4 · Cited by 86 · see citing works
Extracting biomarkers of autism from MEG resting-state functional connectivity networks
Tsiaras, V., Simos, P. G., Rezaie, R., Sheth, B. R., Garyfallidis, E., Castillo, E. M., & Papanicolaou, A. C. (2011) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2011.04.004 · Cited by 86 · see citing works
Martins, B., Bandarra, N. M., & Figueiredo‐Braga, M. (2019) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2019.1573800 · Cited by 86 · see citing works
Mizuno, Y., Kagitani‐Shimono, K., Jung, M., Makita, K., Takiguchi, S., Fujisawa, T. X., Tachibana, M., Nakanishi, M., Mohri, I., Taniike, M., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0679-z · Cited by 87 · see citing works
Braun, A. E., Carpentier, P. A., Babineau, B. A., Narayan, A. R., Kielhold, M. L., Moon, H. M., Shankar, A., Su, J., Saravanapandian, V., Haditsch, U., et al. (2019) · eNeuro · doi:10.1523/eneuro.0358-19.2019 · Cited by 85 · see citing works
Zhao, Y., Yang, L., Gong, G., Cao, Q., & Liu, J. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110477 · Cited by 85 · see citing works
A Two-Year Longitudinal MRI Study of the Corpus Callosum in Autism
Frazier, T. W., Keshavan, M. S., Minshew, N. J., & Hardan, A. Y. (2012) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-012-1478-z · Cited by 81 · see citing works
Self-citationFrontoparietal Network in Executive Functioning in Autism Spectrum Disorder
May, K. E., & Kana, R. K. (2020) · Autism Research · doi:10.1002/aur.2403 · Cited by 81 · see citing works
Corpus callosum area in children and adults with autism
Prigge, M. B. D., LANGE, N. D., Bigler, E. D., Merkley, T. L., Neeley, E. S., Abildskov, T. J., Froehlich, A. L., Nielsen, J. A., Cooperrider, J. R., Cariello, A. N., et al. (2012) · Research in Autism · doi:10.1016/j.rasd.2012.09.007 · Cited by 80 · see citing works
Understanding autism spectrum disorders with animal models: applications, insights, and perspectives
Zhu, L., 昆明650500,中国, 云., Zhu, Y., Gu, L., & Cheng, Y. (2021) · 动物学研究 · doi:10.24272/j.issn.2095-8137.2021.251 · Cited by 84 · see citing works
Distinctive Neural Processes during Learning in Autism
Schipul, S. E., Williams, D. L., Keller, T. A., Minshew, N. J., & Just, M. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr162 · Cited by 75 · see citing works
Thomas, M. S. C., Knowland, V. C. P., & Karmiloff‐Smith, A. (2011) · Psychological Review · doi:10.1037/a0025234 · Cited by 68 · see citing works
Reduction of aberrant NF-κB signalling ameliorates Rett syndrome phenotypes in Mecp2-null mice
Kishi, N., MacDonald, J. L., Ye, J., Molyneaux, B. J., Azim, E., & Macklis, J. D. (2016) · Nature Communications · doi:10.1038/ncomms10520 · Cited by 69 · see citing works
Andrews, D. S., Lee, J. K., Solomon, M., Rogers, S. J., Amaral, D. G., & Nordahl, C. W. (2019) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-019-9291-z · Cited by 70 · see citing works
Wester, J. C., Mahadevan, V., Rhodes, C. T., Calvigioni, D., Venkatesh, S., Maric, D., Hunt, S., Yuan, X. Q., Zhang, Y., Petros, T. J., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.03.036 · Cited by 66 · see citing works
Developmental Trajectories of the Corpus Callosum in Attention-Deficit/Hyperactivity Disorder
Gilliam, M., Stockman, M., Malek, M., Sharp, W., Greenstein, D., Lalonde, F., Clasen, L., Giedd, J., Rapoport, J., & Shaw, P. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.11.024 · Cited by 56 · see citing works
Casanova, M. F., El-Baz, A. S., Elnakib, A. A., Switala, A. E., Williams, E. L., Williams, D. L., Minshew, N. J., & Conturo, T. E. (2011) · Autism · doi:10.1177/1362361310386506 · Cited by 66 · see citing works
White matter correlates of sensory processing in autism spectrum disorders
Pryweller, J. R., Schauder, K. B., Anderson, A. W., Heacock, J. L., Foss‐Feig, J. H., Newsom, C. R., Loring, W. A., & Cascio, C. J. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.09.018 · Cited by 62 · see citing works
Jones-Davis, D. M., Yang, M., Rider, E., Osbun, N. C., da Gente, G. J., Li, J., Katz, A. M., Weber, M. D., Sen, S., Crawley, J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061829 · Cited by 61 · see citing works
Hirjak, D., Meyer-Lindenberg, A., Fritze, S., Sambataro, F., Kubera, K. M., & Wolf, R. C. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.09.009 · Cited by 60 · see citing works
Comparing Motor Skills in Autism Spectrum Individuals With and Without Speech Delay
Barbeau, É. B., Meilleur, A. S., Zeffiro, T. A., & Mottron, L. (2015) · Autism Research · doi:10.1002/aur.1483 · Cited by 60 · see citing works
Li, Q., Becker, B., Jiang, X., Zhao, Z., Zhang, Q., Yao, S., & Kendrick, K. M. (2019) · Cortex · doi:10.1016/j.cortex.2019.05.003 · Cited by 59 · see citing works
Prem, S., Millonig, J. H., & DiCicco-Bloom, E. M. (2020) · Advances in neurobiology · doi:10.1007/978-3-030-45493-7_5 · Cited by 57 · see citing works
Precocious myelination in a mouse model of autism
Khanbabaei, M., Hughes, E., Ellegood, J., Qiu, L. R., Yip, R., Dobry, J., Murari, K., Lerch, J. P., Rho, J. M., & Cheng, N. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0590-7 · Cited by 57 · see citing works
Kinast, K., Peeters, D., Kolk, S. M., Schubert, D., & Homberg, J. R. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00072 · Cited by 57 · see citing works
Kucharsky Hiess, R., Alter, R., Sojoudi, S., Ardekani, B. A., Kuzniecky, R., & Pardoe, H. R. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2468-8 · Cited by 56 · see citing works
Autism spectrum disorder: Trends in research exploring etiopathogenesis
Gyawali, S., & Patra, B. N. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12860 · Cited by 59 · see citing works
Accurate Automated Detection of Autism Related Corpus Callosum Abnormalities
El-Baz, A. S., Elnakib, A. A., Casanova, M. F., Gimel’farb, G., Switala, A. E., Jordan, D. M., & Rainey, S. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9510-3 · Cited by 54 · see citing works
Fingher, N., Dinstein, I., Ben‐Shachar, M., Haar, S., Dale, A. M., Eyler, L. T., Pierce, K., & Courchesne, E. (2017) · Cortex · doi:10.1016/j.cortex.2016.12.024 · Cited by 54 · see citing works
A Magnetization Transfer Imaging Study of Corpus Callosum Myelination in Young Children with Autism
Gozzi, M., Nielson, D. M., Lenroot, R., Ostuni, J. L., Luckenbaugh, D. A., Thurm, A. E., Giedd, J. N., & Swedo, S. E. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.026 · Cited by 53 · see citing works
Connectivity and the corpus callosum in autism spectrum conditions
Booth, R. D. L., Wallace, G. L., & Happe, F. G. E. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53884-0.00031-2 · Cited by 53 · see citing works
Valenti, M., Pino, M. C., Mazza, M., Panzarino, G., Paolantonio, C. D., & Verrotti, A. (2019) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-019-00176-9 · Cited by 49 · see citing works
Ellegood, J., Henkelman, R. M., & Lerch, J. P. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00037 · Cited by 51 · see citing works
Chao, O. Y.-H., Yunger, R., & Yang, Y. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.03.014 · Cited by 51 · see citing works
Statistical shape analysis of the corpus callosum in Schizophrenia
Joshi, S. H., Narr, K. L., Philips, O. R., Nuechterlein, K. H., Asarnow, R. F., Toga, A. W., & Woods, R. P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.024 · Cited by 51 · see citing works
White matter and development in children with an autism spectrum disorder
Mak‐Fan, K. M., Morris, D., Vidal, J., Anagnostou, E. A., Roberts, W., & Taylor, M. J. (2012) · Autism · doi:10.1177/1362361312442596 · Cited by 49 · see citing works
Carpentier, P. A., Haditsch, U., Braun, A. E., Cantu, A., Moon, H. M., Price, R. O., Anderson, M. P., Saravanapandian, V., Ismail, K., Rivera, M., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4654-12.2013 · Cited by 48 · see citing works
Interhemispheric alpha-band hypoconnectivity in children with autism spectrum disorder
Dickinson, A. H., DiStefano, C., Lin, Y.-Y., Scheffler, A. W., Şentürk, D., & Jeste, S. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.04.026 · Cited by 48 · see citing works
Neuroimaging endophenotypes in autism spectrum disorder
Mahajan, R., & Mostofsky, S. H. (2015) · CNS Spectrums · doi:10.1017/s1092852915000371 · Cited by 49 · see citing works
Atypical Asymmetry for Processing Human and Robot Faces in Autism Revealed by fNIRS
Jung, C. E., Strother, L., Feil-Seifer, D., & Hutsler, J. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158804 · Cited by 43 · see citing works
Wolff, J. J., & Piven, J. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.07.910 · Cited by 42 · see citing works
Yao, S., Becker, B., & Kendrick, K. M. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.629870 · Cited by 43 · see citing works
Bang, M., Eom, J., An, C., Kim, S., Park, Y. W., Ahn, S. S., Kim, J., Lee, S., & Lee, S. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01586-2 · Cited by 43 · see citing works
Lewis, J. D., Theilmann, R. J., Fonov, V., Bellec, P., Lincoln, A. J., Evans, A. C., & Townsend, J. (2012) · Human Brain Mapping · doi:10.1002/hbm.22018 · Cited by 41 · see citing works
Genetic heterogeneity in corpus callosum agenesis
Pânzaru, M.-C., Popa, S., Lupu, A., Gavrilovici, C., Lupu, V. V., & Gorduza, E. V. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.958570 · Cited by 40 · see citing works
Cheng, N., Alshammari, F., Hughes, E., Khanbabaei, M., & Rho, J. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0179409 · Cited by 40 · see citing works
Genetic and functional analyses identify DISC1 as a novel callosal agenesis candidate gene
Osbun, N. C., Jiang, L., O’Driscoll, M., Strominger, Z. A., Wakahiro, M. L. J., Rider, E., Bukshpun, P., Boland, E., Spurrell, C. H., Schackwitz, W., et al. (2011) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.34081 · Cited by 39 · see citing works
- Authors
- Frazier, T. W., & Hardan, A. Y.
- Affiliations
- Cleveland Clinic (US)
- Stanford Medicine (US)
- Corresponding author
- Frazier, Thomas W.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 66
- Issue
- 10
- Pages
- 935-941
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC2783565
- OpenAlex
- W2030458571
- Semantic Scholar
- b6f5dab1bca29deadfa1b8d942ac33b176b86b75
- Cited by
- 267
- References
- 73
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 11 · 2023: 15 · 2022: 14 · 2021: 18 · 2020: 16 · 2019: 18 · 2018: 11 · 2017: 19 · 2016: 17 · 2015: 22 · 2014: 15 · 2013: 20 · 2012: 27
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (K23MH064027, MH-64027, R01MH083972, MH-083972)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Fetal and Pediatric Neurological Disorders
- Keywords
- autism spectrum disorder, corpus callosum
- MeSH terms
- Adolescent, Autistic Disorder, Child, Corpus Callosum, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Databases, Factual
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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