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Final tweaks.
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arokem committed Jun 11, 2024
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22 changes: 12 additions & 10 deletions poster.Rmd
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![](./images/qr_poster.png){height=260 style="position: absolute; top: 3800px; left: 2900px;"}


<p style="margin-top:-1cm">
# Background

</p>
- Schizophrenia (SZ) is a neurodevelopmental psychiatric disorder that carries significant health burden.
- The *cognitive dysmetria* theory of schizophrenia posits that the core cognitive deficits arise from dysfunctions of cortical-thalamic-cerebellar (CTC) circuits. [@Andreasen1998-gg]
- Previous research found increased functional connectivity in CTC in individuals at clinical high risk for psychosis. [@Cao2018]
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</p>

- Diffusion MRI data (64 directions, b=1,000 $s/mm^2$) from the UCLA Consortium for Neuropsychiatric Phenomics LA5c study (Open Neuro DS00030).
- Participants: SZ (N=12F/37M, age: 36.2 $\pm$ 8.8 SD), ADHD (N=20F/20M F/M age: 31.95 $\pm$ 10.3), bipolar disorder (BD; N=21F/28M, age: 35.3 $\pm$ 9.0), Healthy control (HC 58F/65M, age: 31.6 $\pm$ 8.8).
- Participants: SZ (N=12F/37M, age: 36.2 $\pm$ 8.8 SD), ADHD (N=20F/20M age: 31.95 $\pm$ 10.3), bipolar disorder (BD; N=21F/28M, age: 35.3 $\pm$ 9.0), Healthy control (HC 58F/65M, age: 31.6 $\pm$ 8.8).

<p style="margin-bottom:-1cm">
**Processing**:
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# Conclusions

- We found decreased MD in SZ in the left SCP, a component of the CTC.
- In line with fMRI results that found increased functional connectivity in CTC in SZ. [@Cao2018]
- In line with fMRI results that found increased functional connectivity in CTC in SZ [@Cao2018].
- Provides additional support for the cognitive dysmetria theory of SZ.


# Software

![](./images/qr_pyafq.png){height=260 style="position: absolute; top: 2750px; left: 1800px;"}
![](./images/qr_tractable.png){height=260 style="position: absolute; top: 3200px; left: 1800px;"}
![](./images/qr_pyafq.png){height=260 style="position: absolute; top: 2850px; left: 1800px;"}
![](./images/qr_tractable.png){height=260 style="position: absolute; top: 3300px; left: 1800px;"}

<p style="margin-bottom:10cm">
**pyAFQ**: Automated Fiber Quantification / tractometry
**pyAFQ**: Automated Fiber <br> Quantification / tractometry
</p>

![](./images/pyAFQ.png){height=400 style="position: absolute; top: 2700px; left: 2750px;"}
![](./images/pyAFQ.png){height=450 style="position: absolute; top: 2700px; left: 2500px;"}

<p style="margin-bottom:10cm">
**Tractable**: Statistical analysis of tract profiles in R
**Tractable**: Statistical <br> analysis of tract profiles in R
</p>
![](./images/cubic-spline-single.png){height=420 style="position: absolute; top: 3200px; left: 2700px;"}
![](./images/cubic-spline-single.png){height=460 style="position: absolute; top: 3150px; left: 2500px;"}

<p style="margin-top:-2cm">
# References
</p>

22 changes: 13 additions & 9 deletions poster.html
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Expand Up @@ -340,8 +340,10 @@ <h5 id="affiliation"><sup>1</sup> Department of Psychology and eScience Institut
<img src="images/Block_S_2_color_red.png" style="position: absolute; top: 150px; left: 2920px;" height="150" />
<img src="images/Bar_Ilan_seal.svg.png" style="position: absolute; top: -50px; left: 2900px;" height="150" /></p>
<p><img src="images/qr_poster.png" style="position: absolute; top: 3800px; left: 2900px;" height="260" /></p>
<p style="margin-top:-1cm">
<div id="background" class="section level1">
<h1>Background</h1>
</p>
<ul>
<li>Schizophrenia (SZ) is a neurodevelopmental psychiatric disorder that carries significant health burden.</li>
<li>The <em>cognitive dysmetria</em> theory of schizophrenia posits that the core cognitive deficits arise from dysfunctions of cortical-thalamic-cerebellar (CTC) circuits. <span class="citation">(<em>1</em>)</span></li>
Expand All @@ -361,7 +363,7 @@ <h1>Methods</h1>
</p>
<ul>
<li>Diffusion MRI data (64 directions, b=1,000 <span class="math inline">\(s/mm^2\)</span>) from the UCLA Consortium for Neuropsychiatric Phenomics LA5c study (Open Neuro DS00030).</li>
<li>Participants: SZ (N=12F/37M, age: 36.2 <span class="math inline">\(\pm\)</span> 8.8 SD), ADHD (N=20F/20M F/M age: 31.95 <span class="math inline">\(\pm\)</span> 10.3), bipolar disorder (BD; N=21F/28M, age: 35.3 <span class="math inline">\(\pm\)</span> 9.0), Healthy control (HC 58F/65M, age: 31.6 <span class="math inline">\(\pm\)</span> 8.8).</li>
<li>Participants: SZ (N=12F/37M, age: 36.2 <span class="math inline">\(\pm\)</span> 8.8 SD), ADHD (N=20F/20M age: 31.95 <span class="math inline">\(\pm\)</span> 10.3), bipolar disorder (BD; N=21F/28M, age: 35.3 <span class="math inline">\(\pm\)</span> 9.0), Healthy control (HC 58F/65M, age: 31.6 <span class="math inline">\(\pm\)</span> 8.8).</li>
</ul>
<p style="margin-bottom:-1cm">
<strong>Processing</strong>:
Expand Down Expand Up @@ -415,25 +417,27 @@ <h1>Results</h1>
<h1>Conclusions</h1>
<ul>
<li>We found decreased MD in SZ in the left SCP, a component of the CTC.</li>
<li>In line with fMRI results that found increased functional connectivity in CTC in SZ. <span class="citation">(<em>2</em>)</span></li>
<li>In line with fMRI results that found increased functional connectivity in CTC in SZ <span class="citation">(<em>2</em>)</span>.</li>
<li>Provides additional support for the cognitive dysmetria theory of SZ.</li>
</ul>
</div>
<div id="software" class="section level1">
<h1>Software</h1>
<p><img src="images/qr_pyafq.png" style="position: absolute; top: 2750px; left: 1800px;" height="260" />
<img src="images/qr_tractable.png" style="position: absolute; top: 3200px; left: 1800px;" height="260" /></p>
<p><img src="images/qr_pyafq.png" style="position: absolute; top: 2850px; left: 1800px;" height="260" />
<img src="images/qr_tractable.png" style="position: absolute; top: 3300px; left: 1800px;" height="260" /></p>
<p style="margin-bottom:10cm">
<strong>pyAFQ</strong>: Automated Fiber Quantification / tractometry
<strong>pyAFQ</strong>: Automated Fiber <br> Quantification / tractometry
</p>
<p><img src="images/pyAFQ.png" style="position: absolute; top: 2700px; left: 2750px;" height="400" /></p>
<p><img src="images/pyAFQ.png" style="position: absolute; top: 2700px; left: 2500px;" height="450" /></p>
<p style="margin-bottom:10cm">
<strong>Tractable</strong>: Statistical analysis of tract profiles in R
<strong>Tractable</strong>: Statistical <br> analysis of tract profiles in R
</p>
<p><img src="images/cubic-spline-single.png" style="position: absolute; top: 3200px; left: 2700px;" height="420" /></p>
<p><img src="images/cubic-spline-single.png" style="position: absolute; top: 3150px; left: 2500px;" height="460" /></p>
<p style="margin-top:-2cm">
</div>
<div id="references" class="section level1 unnumbered">
<div id="references" class="section level1">
<h1>References</h1>
</p>
<div id="refs" class="references csl-bib-body">
<div id="ref-Andreasen1998-gg" class="csl-entry">
1. N. C. Andreasen <em>et al.</em>, <em>Schiz Bull</em>. <strong>24</strong>, 203–218 (1998).
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