Psychiatry Research: Neuroimaging
Volume 172, Issue 2 , Pages 147-154, 15 May 2009

Manual MRI parcellation of the frontal lobe

  • Marin E. Ranta

      Affiliations

    • Laboratory for Neurocognitive Imaging and Research, Kennedy Krieger Institute, Baltimore, MD, USA
  • ,
  • Deana Crocetti

      Affiliations

    • Laboratory for Neurocognitive Imaging and Research, Kennedy Krieger Institute, Baltimore, MD, USA
  • ,
  • Jacqueline A. Clauss

      Affiliations

    • Laboratory for Neurocognitive Imaging and Research, Kennedy Krieger Institute, Baltimore, MD, USA
  • ,
  • Michael A. Kraut

      Affiliations

    • Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
  • ,
  • Stewart H. Mostofsky

      Affiliations

    • Laboratory for Neurocognitive Imaging and Research, Kennedy Krieger Institute, Baltimore, MD, USA
    • Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
    • Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
  • ,
  • Walter E. Kaufmann

      Affiliations

    • Laboratory for Neurocognitive Imaging and Research, Kennedy Krieger Institute, Baltimore, MD, USA
    • Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
    • Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
    • Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
    • Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
    • Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
    • Corresponding Author InformationCorresponding author. Kennedy Krieger Institute, 3901 Greenspring Ave., Baltimore, MD 21211, USA. Tel.: +1 443 923 2789; fax: +1 443 923 7696.

Received 16 December 2008; accepted 31 January 2009.

Abstract 

The ability to examine associations between neuropsychiatric conditions and functionally relevant frontal lobe sub-regions is a fundamental goal in neuropsychiatry, but methods for identifying frontal sub-regions in MR (magnetic resonance) images are not well established. Prior published techniques have principally defined gyral regions that do not necessarily correspond to known functional divisions. We present a method in which sulcal–gyral landmarks are used to manually delimit functionally relevant regions within the frontal lobe: primary motor cortex, anterior cingulate, deep white matter, premotor cortex regions (supplementary motor complex (SMC), frontal eye field and lateral premotor cortex) and prefrontal cortex (PFC) regions (medial PFC, dorsolateral PFC (DLPFC), inferior PFC, lateral orbitofrontal cortex (OFC) and medial OFC). Feasibility was tested by applying the protocol to brain MR data from 15 boys with attention-deficit/hyperactivity disorder (ADHD) and 15 typically developing controls, 8–12 years old. Intra- and inter-rater intraclass correlation coefficients were calculated using parcellation volumes from a subset of that group. Inter-rater results for the 22 hemisphere specific sub-regions ranged from 0.724 to 0.997, with all but seven values above 0.9. Boys with ADHD showed significantly smaller left hemisphere SMC and DLPFC volumes after normalization for total cerebral volume. These findings support the method as a reliable and valid technique for parcellating the frontal lobe into functionally relevant sub-regions.

Keywords: ADHD, Children, Cortex, Prefrontal, Premotor, Segmentation, Supplementary motor complex

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PII: S0925-4927(09)00022-5

doi:10.1016/j.pscychresns.2009.01.006

Psychiatry Research: Neuroimaging
Volume 172, Issue 2 , Pages 147-154, 15 May 2009