Literature DB >> 15575415

Imaging data in autism: from structure to malfunction.

Maria T Acosta1, Phillip L Pearl.   

Abstract

During the last two decades, neuroimaging studies have improved our knowledge of brain development and contributed to our understanding of disorders involving the developing brain. Differences in cerebral anatomy have been determined in autism spectrum disorder (ASD). Morphological studies by magnetic resonance imaging have provided evidence of structural differences in ASD compared with the normal population. This has enhanced our view of autism as a neurobiological disorder corresponding with different stages and events in brain development. Alterations in volume of the total brain and specifically the cerebellum, frontal lobe, and limbic system have been identified. There appears to be a pattern of increased and then decreased rate of brain growth over time. We integrate these observations with neurobehavioral findings to provide a developmental hypothesis of the pathophysiology of autism.

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Year:  2004        PMID: 15575415     DOI: 10.1016/j.spen.2004.07.004

Source DB:  PubMed          Journal:  Semin Pediatr Neurol        ISSN: 1071-9091            Impact factor:   1.636


  11 in total

1.  Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures.

Authors:  Stephanie Powell; Vincent A Magnotta; Hans Johnson; Vamsi K Jammalamadaka; Ronald Pierson; Nancy C Andreasen
Journal:  Neuroimage       Date:  2007-08-22       Impact factor: 6.556

Review 2.  Is there evidence for neural compensation in attention deficit hyperactivity disorder? A review of the functional neuroimaging literature.

Authors:  Catherine Fassbender; Julie B Schweitzer
Journal:  Clin Psychol Rev       Date:  2006-02-24

3.  Predictive value of subclinical autistic traits at age 14-15 months for behavioural and cognitive problems at age 3-5 years.

Authors:  Esmé Möricke; Sophie H N Swinkels; Karin T Beuker; Jan K Buitelaar
Journal:  Eur Child Adolesc Psychiatry       Date:  2010-08       Impact factor: 4.785

4.  Normal variation in fronto-occipital circuitry and cerebellar structure with an autism-associated polymorphism of CNTNAP2.

Authors:  Geoffrey C Y Tan; Thomas F Doke; John Ashburner; Nicholas W Wood; Richard S J Frackowiak
Journal:  Neuroimage       Date:  2010-02-20       Impact factor: 6.556

5.  Manual MRI parcellation of the frontal lobe.

Authors:  Marin E Ranta; Deana Crocetti; Jacqueline A Clauss; Michael A Kraut; Stewart H Mostofsky; Walter E Kaufmann
Journal:  Psychiatry Res       Date:  2009-03-25       Impact factor: 3.222

6.  Automated MRI parcellation of the frontal lobe.

Authors:  Marin E Ranta; Min Chen; Deana Crocetti; Jerry L Prince; Krish Subramaniam; Bruce Fischl; Walter E Kaufmann; Stewart H Mostofsky
Journal:  Hum Brain Mapp       Date:  2013-07-29       Impact factor: 5.038

7.  Maternal dietary fat intake in association with autism spectrum disorders.

Authors:  Kristen Lyall; Kassandra L Munger; Éilis J O'Reilly; Susan L Santangelo; Alberto Ascherio
Journal:  Am J Epidemiol       Date:  2013-06-27       Impact factor: 4.897

8.  Neurexin-1 and frontal lobe white matter: an overlapping intermediate phenotype for schizophrenia and autism spectrum disorders.

Authors:  Aristotle N Voineskos; Tristram A P Lett; Jason P Lerch; Arun K Tiwari; Stephanie H Ameis; Tarek K Rajji; Daniel J Müller; Benoit H Mulsant; James L Kennedy
Journal:  PLoS One       Date:  2011-06-08       Impact factor: 3.240

9.  Does cognitive impairment explain behavioral and social problems of children with neurofibromatosis type 1?

Authors:  Stephan C J Huijbregts; Leo M J de Sonneville
Journal:  Behav Genet       Date:  2010-12-24       Impact factor: 2.805

Review 10.  Maternal Malnutrition in the Etiopathogenesis of Psychiatric Diseases: Role of Polyunsaturated Fatty Acids.

Authors:  Maria Grazia Morgese; Luigia Trabace
Journal:  Brain Sci       Date:  2016-07-27
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