SHORT REPORTS |
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
Department of Biomedical Engineering and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
Department of Biomedical Engineering and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee
Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, Connecticut, USA
Correspondence: Dr Ralph Hoffman, Yale–New Haven Psychiatric Hospital, 184 Liberty Street LV108, New Haven, CT 06519, USA. Email: ralph.hoffman{at}yale.edu
None. Funding detailed in Acknowledgements.
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Imaging
We used a 1.5 T Signa LX scanner (General Electric, Milwaukee, Wisconsin,
USA) to obtain T1-weighted structural images of 14
contiguous 6 mm slices acquired parallel to the anterior–posterior
commissural line. These images were used for anatomical identification and
coincided with slices in the functional runs. For functional runs,
participants were instructed to depress a button with their right hand to mark
the onset of each auditory/verbal hallucination and to release the button at
termination of the event; six or seven of these runs lasting 4 min 6 s each
were used for each participant. Functional runs – 14 axial–oblique
slices of single-shot echoplanar imaging: repetition time (TR) 1500 ms, echo
time (TE) 60 ms, flip angle 60°, 64x64 acquisition matrix, voxel
size 3.125 mmx3.125 mmx6 mm – were motion-corrected using
the statistical parametric mapping algorithm and subjected to a spatial
Gaussian filter with 2 pixels full width at half maximum. The time course of
button-presses in each scan was convolved with a standard model of the
haemodynamic response function. For each individual and each scan, blood
oxygen level dependent (BOLD) signal fluctuations in all pixels composing a
given slice were correlated with the reference time course at temporal shifts
ranging from –4.5 s to 4.5 s in 1.5-s steps, after removing the mean
time course across the slice from each pixel time course and from the
reference time course. For each time lag and run, correlations were
transformed to an approximately normal Gaussian distribution.
Gaussian-transformed maps were averaged across runs, yielding a map
representing the strength of correlations to the reference button-press time
course in terms of standardised z-values. The seven z-maps
of correlations from each participant for each time lag were then transformed
to Talairach coordinates. At each Talairach pixel and time lag, a
t-test was used to assess significance of deviation of
z-values from zero. This correlation-based analysis can accommodate
shorter inter-hallucination intervals even though the BOLD signal may not
return fully to baseline – irregular temporal spacing of hallucinations
can improve statistical power, just as `jittering' allows closer event spacing
in event-related designs.
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Right middle temporal site
The right middle temporal site (Brodmann area 21) was located remarkably
close to middle temporal gyrus sites of pre-hallucination activation reported
by Lennox et al and Shergill et
al.1,2
Activation in the bilateral superior temporal gyrus (Brodmann area 22) emerged
at negative time lags also, but peaked later and was broadly distributed over
both positive and negative time lags. Our correlation-based method for mapping
BOLD signal time course will produce temporal smearing that broadens with
increasing neural activation. The temporal pattern of our data suggests
therefore that the more robust bilateral activation in the superior temporal
gyrus arose somewhat later – perhaps at hallucination onset – than
the middle temporal gyrus activation. Bilateral activation of the latter
region has been associated with aspects of verbal comprehension during speech
processing distinct from acoustic feature detection referable to the superior
temporal gyrus,4
whereas non-dominant middle temporal gyral activation has been associated with
detecting prosodic features of spoken
speech.5 One
plausible account of our findings is that pre-hallucination activation in the
middle temporal gyrus reflecting verbal content and/or prosody is subsequently
propagated to the superior temporal gyrus via top-down processing, which
generates (hallucinated) acoustic representations.
Left anterior insula
The left anterior insula was close to a site of activation in the left
inferior frontal gyrus 9 s prior to hallucination onset identified by Shergill
et al,2 who
reported expanded activation incorporating the left insula at later times.
Left insula activation has been associated with speech
articulation,6
imagining spoken speech of
others,7,8
and focused auditory
attention,4
suggesting that pre-hallucination insula activation reflects inner speech or
auditory imagery generation as previously
hypothesised,7,8
or enhanced auditory attention. However, pre-hallucination insula activation
might instead reflect motor movement required to signal these events. This
possibility is suggested by the fact that simple generation of finger
movements is preceded by activation in the adjacent Broca's area, which has
been postulated to reflect mental
preparation.9
Other sites
Evidence of right ventral anterior cingulate and left parahippocampal
deactivation preceding hallucination onset was detected. Co-occurring
deactivations in these regions have also been linked to heightened
vigilance/attention,10
suggesting a shift in cognitive state preceding auditory/verbal
hallucinations. Along these lines, Arieti described a `listening attitude'
that predisposes people with schizophrenia to hear
`voices'.11
Pre-central activation emerging prior to hallucination onset in our study
could reflect either inner speech generation or signalling hallucinations by
finger movement.
In summary, activation detected as BOLD signal changes correlated with auditory/verbal hallucination time course at negative time lags may reveal complex brain processes triggering these experiences. Future studies of this type would be advanced by controlling for effects of motor behaviour required to signal hallucination occurrences.9
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