| Title |
Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements
|
|---|---|
| Published in |
Neuroinformatics, May 2014
|
| DOI | 10.1007/s12021-014-9229-2 |
| Pubmed ID | |
| Authors |
Francesco Cardinale, Giuseppa Chinnici, Manuela Bramerio, Roberto Mai, Ivana Sartori, Massimo Cossu, Giorgio Lo Russo, Laura Castana, Nadia Colombo, Chiara Caborni, Elena De Momi, Giancarlo Ferrigno |
| Abstract |
FreeSurfer software package automatically estimates the cerebral cortical thickness. Its use is widely accepted, albeit this tool was validated against histologic measurements in only two post-mortem isolated brain MR scans. Indeed, a comparison between histologic measurements and FreeSurfer estimation from in vivo data was never performed. At the "Claudio Munari" Center for Epilepsy and Parkinson Surgery we have included FreeSurfer in our presurgical workflow since 2008, mainly because the automatic reconstruction of the brain surface is useful for carefully planning the surgical resection. We therefore compared cortical thickness values obtained by the automatic software pipeline with manual histologic measurements performed on 27 histologic specimens resected from the corresponding brain regions of the same epileptic subjects. This method-comparison study, including Passing-Bablok regression and Bland-Altman plot analysis, showed a good agreement between FreeSurfer estimation and histologic measurements of cortical thickness. The mean cortical thickness values (±Standard Deviation) obtained with FreeSurfer and histologic measurements were 3.65 mm ± 0.44 and 3.72 mm ± 0.36, respectively (P value = 0.32). Our findings strengthen previous reports on cortical thickness changes as biomarkers of different neurological conditions. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Sweden | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 2% |
| United States | 2 | <1% |
| Brazil | 2 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Bulgaria | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 240 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 56 | 22% |
| Student > Ph. D. Student | 51 | 20% |
| Student > Master | 27 | 11% |
| Student > Bachelor | 17 | 7% |
| Student > Doctoral Student | 16 | 6% |
| Other | 48 | 19% |
| Unknown | 39 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 60 | 24% |
| Medicine and Dentistry | 50 | 20% |
| Psychology | 31 | 12% |
| Engineering | 17 | 7% |
| Agricultural and Biological Sciences | 14 | 6% |
| Other | 22 | 9% |
| Unknown | 60 | 24% |
Attention Score in Context
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#14,195,754
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Outputs of similar age from Neuroinformatics
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