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HBM 2001 Poster

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Title: HBM 2001 Poster


1
Three-Way Multidimensional Scaling of Functional
MRI Data Shows Increased Heterogeneity of
Inter-regional Connectivity in Patients with
Schizophrenia
D. E. Welchew, G. Honey, T. Sharma, T. W.
Robbins, E. T. Bullmore
University of Cambridge and Institute of
Psychiatry, UK
E-mail dew22_at_cam.ac.uk
INTRODUCTION
RESULTS
  • Functional MRI data can be used to examine the
    functional connectivity between specified
    cortical areas, by the generation of
    inter-regional correlation matrices from time
    series extracted from individual images1.
  • Three-way multidimensional scaling (MDS)2 can be
    used to explore the configuration of regions of
    the brain, whilst also providing a measure of the
    extent to which individual subjects differ from
    their generic configuration.
  • Various measurements have been proposed to
    quantify the relative atypicalness of individual
    subjects within a group. One such metric is
    weirdness, a measure of deviation from the
    average configuration standardised to the range
    0,1.
  • Here, we present an application of the MDS
    technique to a linguistic processing task to
    compare weirdness in schizophrenic patients and
    normal volunteers.

Derived Stimulus Configuration
  • The eleven areas separate on the first derived
    dimension according to anatomical location
    (frontotemporal vs occipitoparietal regions), and
    according to hypothesised function (analysis of
    input vs. subvocal output) on the second
    dimension

METHODS
Summary of Weirdness Statistic
Imaging and Subjects
  • Gradient echo echo-planar imaging at 1.5 Tesla
    was used to study nineteen right-handed
    schizophrenic patients receiving anti-psychotic
    therapy, and twenty volunteers matched for age
    and sex.
  • We used a periodic AB design
  • A (30 sec) subjects were visually presented
    with a series of nouns (ISI1.5 sec), asked to
    decide whether each referred to a living or
    non-living object, and subvocalise their
    decision.
  • B (30 sec) subjects viewed an isoluminant
    screen.
  • This cycle was repeated five times over the
    course of each five-minute experiment.
  • Generic brain activation mapping 3 was used to
    identify one left unilateral and five bilateral
    foci of activation ventral extrastriate cortex,
    superior temporal gyrus, supplementary motor
    area, inferior parietal lobule and prefrontal
    cortex bilaterally, and left inferior frontal
    gyrus unilaterally.

Relative Importance of Dimensions
CONCLUSIONS
  • The configuration map obtained from all subjects
    follows previous results showing a separation of
    functionally active cortical regions according to
    their anatomical location and hypothesised rôle
    in the task.
  • We have demonstrated a previously unreported
    difference in individual subject heterogeneity
    between control subjects and schizophrenic
    patients.
  • This finding indicates that there may be greater
    heterogeneity of inter-regional covariance
    structures in patients with schizophrenia than in
    normal comparison subjects.

Statistics
  • Eleven time series were extracted from the means
    of index voxels and their eight nearest
    neighbours in each cluster for all subjects. A
    configuration map of the regions was generated
    from all the subjects using weighted individual
    differences scaling on the ALSCAL program in
    SPSS, and the weirdness of each subject was
    derived from the individual subject correlation
    matrices.
  • Weirdness is an index of how similar the
    weighting on each dimension of a given subject is
    to the group weighting, and ranges from zero (the
    subject has weights proportional to the average
    weight) to one (the subject has only a single
    non-zero weight). Weirdness was compared
    between groups using Students t-test for unequal
    variances.

REFERENCES
  • Bullmore, E.T., Rabe-Hesketh, S. et al.
    NeuroImage 1996, 416-33
  • Everitt, B.S. and Rabe-Hesketh, S. The Analysis
    of Proximity Data. Arnold, 1997
  • Brammer, M.J. et al. 1997, Magnetic Resonance
    Imaging, 15 763-770
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