Cortex
Volume 44, Issue 8 , Pages 1097-1103, September 2008

Visualization of disconnection syndromes in humans

  • Michel Thiebaut de Schotten

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • UPMC Univ Paris 06, Paris, France
    • IFR70, Hôpital de la Salpêtrière, Paris, France
    • Corresponding Author InformationCorresponding author at: Inserm U610, G.H. Pitié Salpêtrière, 47 boulevard de l'Hôpital, 75013 Paris, France.
  • ,
  • Serge Kinkingnéhun

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • IFR49, SHFJ, Orsay, France
  • ,
  • Christine Delmaire

      Affiliations

    • UPMC Univ Paris 06, Paris, France
    • Department of Neuroradiology, AP-HP, Hôpital de la Salpêtrière, Paris, France
    • IFR49, SHFJ, Orsay, France
  • ,
  • Stéphane Lehéricy

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • Department of Neuroradiology, AP-HP, Hôpital de la Salpêtrière, Paris, France
    • IFR49, SHFJ, Orsay, France
  • ,
  • Hugues Duffau

      Affiliations

    • Department of Neurosurgery, Hôpital Gui de Chauliac, CHU Montpellier, Montpellier, France
    • IFR49, SHFJ, Orsay, France
  • ,
  • Lionel Thivard

      Affiliations

    • UPMC Univ Paris 06, Paris, France
    • Department of Neurology, AP-HP, Hôpital de la Salpêtrière, Paris, France
  • ,
  • Emmanuelle Volle

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • UPMC Univ Paris 06, Paris, France
    • Department of Neuroradiology, AP-HP, Hôpital de la Salpêtrière, Paris, France
    • IFR70, Hôpital de la Salpêtrière, Paris, France
  • ,
  • Richard Levy

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • UPMC Univ Paris 06, Paris, France
    • Department of Neurology, AP-HP, Hôpital de la Salpêtrière, Paris, France
    • IFR70, Hôpital de la Salpêtrière, Paris, France
  • ,
  • Bruno Dubois

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • UPMC Univ Paris 06, Paris, France
    • Department of Neurology, AP-HP, Hôpital de la Salpêtrière, Paris, France
    • IFR70, Hôpital de la Salpêtrière, Paris, France
  • ,
  • Paolo Bartolomeo

      Affiliations

    • INSERM UMR_S 610, Hôpital de la Salpêtrière, Paris, France
    • UPMC Univ Paris 06, Paris, France
    • Department of Neurology, AP-HP, Hôpital de la Salpêtrière, Paris, France
    • IFR70, Hôpital de la Salpêtrière, Paris, France
    • Corresponding Author InformationCorresponding author at: Inserm U610, G.H. Pitié Salpêtrière, 47 boulevard de l'Hôpital, 75013 Paris, France.

Received 6 July 2007; received in revised form 15 October 2007 and 6 February 2008; accepted 14 February 2008. published online 07 July 2008.

Abstract 

Knowledge of the relationship between structure and function is essential to the exploration of the architecture of cognition. Cognitive processes require the coordinated activity of large-scale brain networks consisting of distant cortical regions, connected by long-range white matter tracts. Despite decades of connectional tracing studies in monkeys, the backwardness of human anatomy makes it difficult to draw conclusions from lesion studies and functional neuroimaging when brain connectivity is at issue. We propose an approach to clinico-anatomical correlation, based on a standardized atlas of white matter tracts derived from diffusion tensor imaging tractography. Using OVER-TRACK, a method based on tracking and overlapping white matter tracts, we mapped the course of three rostro-caudal association pathways in the Montreal Neurological Institute space. For each voxel we defined the probability of finding fibers belonging to individual tracts. This method is defined to localize in the white matter the overlapping lesion derived from a group of patients with brain damage. Our study provides a general approach for establishing anatomo-functional correlations by estimating the cortical areas connected in normal subjects, or disconnected by white matter lesions. This method will help researchers and clinicians to identify the neural bases of cognitive abilities and the behavioral consequences of brain lesions.

Keywords: White matter, Long-range connections, Anatomo-clinical correlations, Diffusion tensor imaging tractography

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S0010-9452(08)00122-6

doi:10.1016/j.cortex.2008.02.003

Cortex
Volume 44, Issue 8 , Pages 1097-1103, September 2008