@inproceedings{33e0c30e8e174322a6df1498e415b323,
title = "Brain Network Connectivity from Matching Cortical Feature Densities",
abstract = "We present a new method for constructing structural inference brain networks from functional measures of cortical features. Instead of averaging vertex-wise cortical features, we propose the use of full functions of spatial densities of measures such as thickness and use two dimensional pairwise correlations between regions to construct population networks. We show increased within group correlations for both healthy controls and toddlers with prenatal alcohol exposure compared to the existing mean-based correlation approach. Further, we also show significant differences in brain connectivity between the healthy controls and the exposed group.",
keywords = "brain connectivity, brain networks, kernel density, structural association networks",
author = "David Lee and Donald, {Kirsten A.} and Taykhoom Dalal and Wedderburn, {Catherine J.} and Annerine Roos and Jonathan Ipser and Sivenesi Subramoney and Zar, {Heather J.} and Stein, {Dan J.} and Narr, {Katherine L.} and Gerhard Hellemann and Woods, {Roger P.} and Joshi, {Shantanu H.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 ; Conference date: 03-04-2020 Through 07-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ISBI45749.2020.9098689",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "995--998",
booktitle = "ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging",
address = "United States",
}