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The effect of Ldopa on fMRI of language processing

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Title: The effect of Ldopa on fMRI of language processing


1
The effect of L-dopa on fMRI of language
processing
  • Namhee Kim , Madalina E. Tivarus, Prem K. Goel,
    David Q. Beversdorf

2
Introduction
  • L-dopa, a precursor for dopamine
  • Amplify strong signals, and dampen weak signals
  • Restrict the semantic network
  • Demonstrated in a lexical priming test
    (Kischka,96)
  • Under placebo, significant differences in RT,
  • non-related vs. related and non-related vs.
    indirectly related
  • Under L-dopa
  • non-related vs. related
  • Decreased indirect semantic priming effect under
    L-dopa was discussed in terms of restriction of
    the semantic network

3
Introduction
  • We aimed to examine the effect of L-dopa on
    language processing with fMRI
  • Phonological task and Semantic task

4
Methods
  • Participants 15 healthy subjects right handed
  • Experimental paradigm
  • 2 sessions L-dopa and placebo
  • In each session, 2 runs
  • Semantic (phonological) task (24 sec) with rest
    (30 sec)
  • Total time for each run was 4 min and 6 s
  • A cue word for 3 seconds followed by 15 words.
  • Each word was presented for approximately 1100
    ms, with a 300 ms inter-stimulus interval (a
    blank screen)
  • Respond by pressing one of the two buttons YES or
    NO.
  • YES if the word in the list was related by
    meaning (or rhyme) to the cue in semantic
    (phonologic) task

5
Methods
  • fMRI procedure
  • 1.5 T General Electric scanner with a quadrature
    head coil.
  • The BOLD contrast functional data were collected
    using a gradient echo EPI pulse sequence
  • TR3 s TE40 ms a90 FOV240 mm matrix 6464
  • 28 axial slices for whole brain coverage
  • 5 mm slice thickness

6
Block Design from Tivarus et al. (2008)
7
Analysis
  • Preprocessing
  • Realignment (motion correction)
  • 6 parameter (rigid body) spatial transformation
  • Spatial Normalization to MNI Space
  • Template EPI.mnc in SPM
  • an average of 13 subjects' mean fMRI images
  • Spatial smoothing
  • FWHM in mm (8 8 8)
  • Independent Component Analysis (ICA)

8
Analysis
  • ICA steps
  • Perform ICA for each subject
  • Choose 25 ICs by doing a preliminary analysis
  • Group ICA of fMRI Toolbox (GIFT)
  • Select task positive ICs
  • correlation with convolved task related HRF with
    threshold 0.33
  • Number of selected ICs varies over subjects
  • Generate a summary source map for each subject

9
Analysis
  • ICA
  • Summarize the sources by the maximum value
  • Example
  • Assign 5 if S1(vok)2, S2(vok) 5 and
    S3(vok)1
  • Assign -5 if S1(vok)2, S2(vok) - 5 and
    S3(vok)1
  • Negative values are found in the suppressed
    regions for the given task in a task-positive
    source
  • Effects
  • High sensitivity for the detection of the
    task-involved regions in the brain

10
Analysis I. Group activation map
  • Group activation maps of 4 conditions by the task
    and drug types
  • phonological/L-dopa, phonological/placebo
  • semantic/L-dopa, semantic/placebo
  • T-test over the summary maps of subjects for each
    condition as above
  • Threshold values
  • Voxel level p-value 0.005 (t-value 2.98)
  • Cluster level p-value 0.05 (spatial extent
    14-18)

11
Phonologic task activation map by treatments
Left parietal
Red L-dopa BluePlacebo
Anterior LIFG
Left fusiform gyrus
thalamus
Posterior LMTG
12
Semantic task activation map by treatments
Red L-dopa Blue Placebo
Anterior LIFG
Posterior LMTG
Thalamus Medial dorsal
13
Analysis II. Test on the differences in the group
activation maps by drug conditions
  • 2 group t-test
  • Threshold values
  • Voxel level p-value 0.01 (t-value 2.47)
  • Cluster level p-value 0.05 (spatial extent
    30-32)

14
Results Test on the differencesL-dopa vs.
Placebo
phonology
thalamus
LSTG LMTG
Red L-dopagtplacebo Blue L-dopaltPlacebo
Frontal lobe
thalamus
Semantics
15
Summary
  • Proposed method reveals a similar activation map
    as compared to McDermott et al. (2003) with the
    same task
  • Semantic task has activations on
  • BA47, BA44/45, BA22/21, BA37, left BA40 and
    cerebellum
  • Phonological task activations on
  • BA6/BA44, left BA40 (bilateral in McDermott)
  • Majority of the group activation maps by the drug
    conditions (L-dopa, placebo) overlapped
  • However, the group activation maps in thalamus
    showed difference between drug conditions
  • Greater activation in placebo for phonological
    task

16
Summary
  • The dopamine neurons primarily project to frontal
    and subcortical regions
  • L-dopa is associated with greater frontal
    activation in the semantic task, perhaps relating
    to its effect gating in the semantic network in
    the priming experiment

17
Summary
  • However, while the increased temporal activation
    associated with L-dopa could relate to more
    focused signal processing in phonological tasks,
    this seems surprising given the distribution of
    DA projections
  • Our results may suggest that these effects in the
    phonological task are related to decreased
    thalamic gating with L-dopa

18
Further research questions
LIFG
  • In GLM analysis, the difference in activation in
    thalamus with the same drug conditions was not
    significant
  • Thalamus might be indirectly related to the
    language processing resulting in delayed response
  • The time course in thalamus needs to be extracted
    and inspected
  • Searching a semantic network connecting all the
    ROIs and explaining meaningfully
  • Searching ROIs highly connected to the thalamus
  • Functional connectivity analysis among all the
    ROIs

LPAR
Thalamus
LMTG
LFUS
19
References
  • Calhoun V., D., Adali T., Pearlson, G., D.,
    Pekar, J., J. (2001) A method for making group
    inference from functional MRI data using
    independent component analysis., Human Brain
    Mapping, 14, 140-151
  • Kischka, U., Kammer, T., Maier, S., Weisbrod, M.,
    Thimm, M., Spitzer, M. (1996) Dopaminergic
    modulation of semantic network activation.,
    Neuropsychologia, 34, 1107-1113
  • McDermott, K., B., Pertersen, S., E., Watson, J.,
    M., Ojemann, J., G. (2003). A procedure for
    identifying regions preferentially activated by
    attention to the semantic and phonological
    relations using functional magnetic resonance
    imaging. Neuropsychologia, 41 293-303
  • Tivarus M., E., Hillier, A, Schmalbrock, P.,
    Beversdorf, D., Q. (2007) Functional connectivity
    in an fMRI study of semantic and phonological
    processes and the effect of l-Dopa. Brain
    Language

20
Acknowledgement
  • This research was funded by NINDS (K23
    NS43222-Beversdorf) and a pilot grant from NAAR
    (National Alliance for Autism Research-Beversdorf)
    and the OSU Research Investment Fund
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