Evaluation and statistical inference for living connectomes
Diffusion-weighted imaging coupled with tractography is the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces a large collection of white-matter fascicles as output; the connectome. We introduce a method to evaluate the e...
| Main Authors: | , , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
2014
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180802/ |
| id |
pubmed-4180802 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-41808022015-04-01 Evaluation and statistical inference for living connectomes Pestilli, F. Yeatman, J.D. Rokem, A. Kay, K.N. Wandell, B.A. Article Diffusion-weighted imaging coupled with tractography is the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces a large collection of white-matter fascicles as output; the connectome. We introduce a method to evaluate the evidence supporting connectomes. Linear Fascicle Evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to measure prediction error. Finally, we introduce two metrics that use the prediction error to evaluate the evidence supporting properties of the connectome. One metric compares the mean prediction error between alternative hypotheses, and the second metric compares full distributions of prediction error. We use these metrics to (1) compare tractography algorithms, and (2) test hypotheses about tracts and connections. 2014-09-07 2014-10 /pmc/articles/PMC4180802/ /pubmed/25194848 http://dx.doi.org/10.1038/nmeth.3098 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Pestilli, F. Yeatman, J.D. Rokem, A. Kay, K.N. Wandell, B.A. |
| spellingShingle |
Pestilli, F. Yeatman, J.D. Rokem, A. Kay, K.N. Wandell, B.A. Evaluation and statistical inference for living connectomes |
| author_facet |
Pestilli, F. Yeatman, J.D. Rokem, A. Kay, K.N. Wandell, B.A. |
| author_sort |
Pestilli, F. |
| title |
Evaluation and statistical inference for living connectomes |
| title_short |
Evaluation and statistical inference for living connectomes |
| title_full |
Evaluation and statistical inference for living connectomes |
| title_fullStr |
Evaluation and statistical inference for living connectomes |
| title_full_unstemmed |
Evaluation and statistical inference for living connectomes |
| title_sort |
evaluation and statistical inference for living connectomes |
| description |
Diffusion-weighted imaging coupled with tractography is the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces a large collection of white-matter fascicles as output; the connectome. We introduce a method to evaluate the evidence supporting connectomes. Linear Fascicle Evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to measure prediction error. Finally, we introduce two metrics that use the prediction error to evaluate the evidence supporting properties of the connectome. One metric compares the mean prediction error between alternative hypotheses, and the second metric compares full distributions of prediction error. We use these metrics to (1) compare tractography algorithms, and (2) test hypotheses about tracts and connections. |
| publishDate |
2014 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180802/ |
| _version_ |
1613139261683400704 |