diff --git a/poster.Rmd b/poster.Rmd index 6e2c259..9af1acd 100644 --- a/poster.Rmd +++ b/poster.Rmd @@ -103,9 +103,9 @@ knitr::opts_chunk$set(echo = FALSE) ![](./images/qr_poster.png){height=260 style="position: absolute; top: 3800px; left: 2900px;"} - +

# Background - +

- 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] @@ -124,7 +124,7 @@ knitr::opts_chunk$set(echo = FALSE)

- 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).

**Processing**: @@ -171,25 +171,27 @@ NIH grants: MH121867 (PI: Poldrack), MH121868 (PI: Rokem), EB027585 (PI: Garyfal # 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;"}

-**pyAFQ**: Automated Fiber Quantification / tractometry +**pyAFQ**: Automated Fiber
Quantification / tractometry

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

-**Tractable**: Statistical analysis of tract profiles in R +**Tractable**: Statistical
analysis of tract profiles in R

-![](./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;"} +

# References +

diff --git a/poster.html b/poster.html index 4e888e8..a51ffb0 100644 --- a/poster.html +++ b/poster.html @@ -340,8 +340,10 @@
1 Department of Psychology and eScience Institut

+

Background

+

Software

-

-

+

+

-pyAFQ: Automated Fiber Quantification / tractometry +pyAFQ: Automated Fiber
Quantification / tractometry

-

+

-Tractable: Statistical analysis of tract profiles in R +Tractable: Statistical
analysis of tract profiles in R

-

+

+

-
+

References

+

1. N. C. Andreasen et al., Schiz Bull. 24, 203–218 (1998). diff --git a/poster.pdf b/poster.pdf index 27015c7..33c5b4b 100644 Binary files a/poster.pdf and b/poster.pdf differ