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in early-phase psychosis

Preamble

General comments

Specific comments for this manuscript

org specific settings

Latex header

Latex macros

Authors and affiliations

Buffer-wide source code blocks

# # #

End preamble

References

\bibliographystyle{nature} \nobibliography{master}

The poster

Code

if (!(grepl("src", getwd())))
  setwd("../../../../src")
source("fe_func.R")
source("bmi_load.R")

# R version
rvers <- version$version.string

# Python version
# pyvers <- system("python --version")
# pysurfvers <- system("pip freeze | grep pysurf")
#pyvers <- "2.7.13"
#pysurfvers <- "0.7"
pyplusvers <- system("pyv=$(python -V 2>&1); echo $pyv", intern=TRUE)
pysurfplusvers <- system("pip list | grep pysurf", intern=TRUE)

Left column

Background

  • Schizophrenia has long been considered a disorder of dysconnectivity in the brain
  • Using graph theory, we computed statistical similarity networks for each individual (Fig figflowchart, figshrinkage) in two early-phase schizophrenia cohorts src_R[:session]{parse_n(“sz”)} {{{results((N = 82))}}} and in healthy controls src_R[:session]{parse_n(“hc”)} {{{results((N = 77))}}} and tested whether network architecture predicted treatment response

Methods: Structural similarity networks

\captionsetup{justification=justified,width=.85\linewidth}

fe_freesurfer_flowchart.pdf

Methods: Individual treatment response

\captionsetup{justification=justified,width=.85\linewidth}

fe_freesurfer_shrinkage.pdf

Right column

Results: Partial least squares regression

  • Individual differences in the configuration of structural similarity networks explained a significant proportion of variance in treatment response (Fig. figplsbrains)
  • Exploratory analysis: increased clustering and decreased network integration in patients compared to controls (Fig. figge)

\captionsetup{justification=justified,width=.8\linewidth}

fe_freesurfer_plsbrains.pdf

Results: Increased clustering in patients

\captionsetup{justification=justified,width=0.8\linewidth}

fe_freesurfer_graphsum_individual_2plots.pdf

Conclusions

  • These data suggest a potential link between brain network morphology and clinical outcome in early-phase schizophrenia

Disclosure

\tiny Dr. Robinson has served as a consultant for Asubio, Otsuka, and Shire and has received grants from Bristol-Myers Squibb, Janssen, and Otsuka. Dr. Kane has served as a consultant for Alkermes, Eli Lilly, Forest, Forum, Genentech, Intracellular Therapies, Janssen, Johnson & Johnson, Lundbeck, Otsuka, Reviva, Roche, Sunovion, and Teva; he has received honoraria for lectures from Genentech, Janssen, Lundbeck, and Otsuka; and he is a shareholder in MedAvante and Vanguard Research Group. Dr. Lencz is a consultant for Genomind. Dr. Malhotra has served as a consultant for Forum Pharmaceuticals and has served on a scientific advisory board for Genomind. The other authors report no financial relationships with commercial interests.