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ADHD severity is associated with white matter microstructure in the subgenual cingulum.

Cooper M, Thapar A, Jones DK - Neuroimage Clin (2015)

Bottom Line: Deterministic tractography based on spherical deconvolution methods was used to map the subgenual cingulum and corticospinal tract.No case-control differences were found.They provide further evidence that tract-specific approaches may a) reveal associations between microstructural metrics and indices of phenotypic variability which would not be detected using voxelwise approaches, and b) provide improved rather than differential sensitivity compared to voxelwise approaches.

View Article: PubMed Central - PubMed

Affiliation: Child & Adolescent Psychiatry Section, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK ; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Cardiff, UK ; Cardiff University Brain Research Imaging Centre, Cardiff University School of Psychology, Cardiff, UK.

ABSTRACT

Aims: This analysis examined hypothesised associations between microstructural attributes in specific white matter (WM) tracts selected a priori and measures of clinical variability in adolescents with a diagnosis of attention deficit hyperactivity disorder (ADHD). Firstly, associations were explored between WM microstructure and ADHD severity in the subgenual cingulum. Secondly, to ensure that tract-specific approaches afforded enhanced rather than differential sensitivity, associations were measured between WM microstructure and autistic traits in the right corticospinal tract based on results of a previously-published voxelwise analysis.

Methods: 40 right-handed males aged 14-18 years (19 with DSM-IV combined type ADHD and 21 healthy controls) underwent a 60 direction diffusion MRI scan. Clinical ADHD and autism variation were assessed by validated questionnaires. Deterministic tractography based on spherical deconvolution methods was used to map the subgenual cingulum and corticospinal tract.

Results: Fractional anisotropy was positively correlated and radial diffusivity was negatively correlated with a) ADHD severity in the left subgenual cingulum and b) autistic traits in the inferior segment of the right corticospinal tract. No case-control differences were found.

Conclusions: Results shed light on possible anatomical correlates of ADHD severity and autistic symptoms in pathways which may be involved in the ADHD phenotype. They provide further evidence that tract-specific approaches may a) reveal associations between microstructural metrics and indices of phenotypic variability which would not be detected using voxelwise approaches, and b) provide improved rather than differential sensitivity compared to voxelwise approaches.

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Related in: MedlinePlus

ROI placement for the subgenual cingulum. ROI placement for subgenual cingulum (left hemisphere): a) midsagittal plane — location of both ROIs, b) coronal plane — AND gate five slices anterior to the midpoint of the corpus callosum, c) coronal plane — AND gate three slices caudal to the anterior limit of the genu of the corpus callosum.
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f0020: ROI placement for the subgenual cingulum. ROI placement for subgenual cingulum (left hemisphere): a) midsagittal plane — location of both ROIs, b) coronal plane — AND gate five slices anterior to the midpoint of the corpus callosum, c) coronal plane — AND gate three slices caudal to the anterior limit of the genu of the corpus callosum.

Mentions: The subgenual cingulum was reconstructed based on the method of Jones et al. (2013). The mid-sagittal plane was located, and on this, the rostro-caudal midpoint of the corpus callosum was identified as the mid-point between the anterior limit of the flexure of the genu, and the posterior co-ordinate of the flexure of the splenium. Two AND gates were then drawn around the location of the cingulum in the coronal plane (Fig. 4Fig. 4


ADHD severity is associated with white matter microstructure in the subgenual cingulum.

Cooper M, Thapar A, Jones DK - Neuroimage Clin (2015)

ROI placement for the subgenual cingulum. ROI placement for subgenual cingulum (left hemisphere): a) midsagittal plane — location of both ROIs, b) coronal plane — AND gate five slices anterior to the midpoint of the corpus callosum, c) coronal plane — AND gate three slices caudal to the anterior limit of the genu of the corpus callosum.
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4375644&req=5

f0020: ROI placement for the subgenual cingulum. ROI placement for subgenual cingulum (left hemisphere): a) midsagittal plane — location of both ROIs, b) coronal plane — AND gate five slices anterior to the midpoint of the corpus callosum, c) coronal plane — AND gate three slices caudal to the anterior limit of the genu of the corpus callosum.
Mentions: The subgenual cingulum was reconstructed based on the method of Jones et al. (2013). The mid-sagittal plane was located, and on this, the rostro-caudal midpoint of the corpus callosum was identified as the mid-point between the anterior limit of the flexure of the genu, and the posterior co-ordinate of the flexure of the splenium. Two AND gates were then drawn around the location of the cingulum in the coronal plane (Fig. 4Fig. 4

Bottom Line: Deterministic tractography based on spherical deconvolution methods was used to map the subgenual cingulum and corticospinal tract.No case-control differences were found.They provide further evidence that tract-specific approaches may a) reveal associations between microstructural metrics and indices of phenotypic variability which would not be detected using voxelwise approaches, and b) provide improved rather than differential sensitivity compared to voxelwise approaches.

View Article: PubMed Central - PubMed

Affiliation: Child & Adolescent Psychiatry Section, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK ; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Cardiff, UK ; Cardiff University Brain Research Imaging Centre, Cardiff University School of Psychology, Cardiff, UK.

ABSTRACT

Aims: This analysis examined hypothesised associations between microstructural attributes in specific white matter (WM) tracts selected a priori and measures of clinical variability in adolescents with a diagnosis of attention deficit hyperactivity disorder (ADHD). Firstly, associations were explored between WM microstructure and ADHD severity in the subgenual cingulum. Secondly, to ensure that tract-specific approaches afforded enhanced rather than differential sensitivity, associations were measured between WM microstructure and autistic traits in the right corticospinal tract based on results of a previously-published voxelwise analysis.

Methods: 40 right-handed males aged 14-18 years (19 with DSM-IV combined type ADHD and 21 healthy controls) underwent a 60 direction diffusion MRI scan. Clinical ADHD and autism variation were assessed by validated questionnaires. Deterministic tractography based on spherical deconvolution methods was used to map the subgenual cingulum and corticospinal tract.

Results: Fractional anisotropy was positively correlated and radial diffusivity was negatively correlated with a) ADHD severity in the left subgenual cingulum and b) autistic traits in the inferior segment of the right corticospinal tract. No case-control differences were found.

Conclusions: Results shed light on possible anatomical correlates of ADHD severity and autistic symptoms in pathways which may be involved in the ADHD phenotype. They provide further evidence that tract-specific approaches may a) reveal associations between microstructural metrics and indices of phenotypic variability which would not be detected using voxelwise approaches, and b) provide improved rather than differential sensitivity compared to voxelwise approaches.

Show MeSH
Related in: MedlinePlus