Eintrag weiter verarbeiten
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study
Gespeichert in:
| Zeitschriftentitel: | Frontiers in Aging Neuroscience |
|---|---|
| Personen und Körperschaften: | , , , , , , |
| In: | Frontiers in Aging Neuroscience, 10, 2018 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Frontiers Media SA
|
| Schlagwörter: |
| author_facet |
Aycheh, Habtamu M. Seong, Joon-Kyung Shin, Jeong-Hyeon Na, Duk L. Kang, Byungkon Seo, Sang W. Sohn, Kyung-Ah Aycheh, Habtamu M. Seong, Joon-Kyung Shin, Jeong-Hyeon Na, Duk L. Kang, Byungkon Seo, Sang W. Sohn, Kyung-Ah |
|---|---|
| author |
Aycheh, Habtamu M. Seong, Joon-Kyung Shin, Jeong-Hyeon Na, Duk L. Kang, Byungkon Seo, Sang W. Sohn, Kyung-Ah |
| spellingShingle |
Aycheh, Habtamu M. Seong, Joon-Kyung Shin, Jeong-Hyeon Na, Duk L. Kang, Byungkon Seo, Sang W. Sohn, Kyung-Ah Frontiers in Aging Neuroscience Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study Cognitive Neuroscience Aging |
| author_sort |
aycheh, habtamu m. |
| spelling |
Aycheh, Habtamu M. Seong, Joon-Kyung Shin, Jeong-Hyeon Na, Duk L. Kang, Byungkon Seo, Sang W. Sohn, Kyung-Ah 1663-4365 Frontiers Media SA Cognitive Neuroscience Aging http://dx.doi.org/10.3389/fnagi.2018.00252 Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study Frontiers in Aging Neuroscience |
| doi_str_mv |
10.3389/fnagi.2018.00252 |
| facet_avail |
Online Free |
| finc_class_facet |
Medizin Biologie Psychologie |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM4OS9mbmFnaS4yMDE4LjAwMjUy |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM4OS9mbmFnaS4yMDE4LjAwMjUy |
| institution |
DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 |
| imprint |
Frontiers Media SA, 2018 |
| imprint_str_mv |
Frontiers Media SA, 2018 |
| issn |
1663-4365 |
| issn_str_mv |
1663-4365 |
| language |
Undetermined |
| mega_collection |
Frontiers Media SA (CrossRef) |
| match_str |
aycheh2018biologicalbrainagepredictionusingcorticalthicknessdataalargescalecohortstudy |
| publishDateSort |
2018 |
| publisher |
Frontiers Media SA |
| recordtype |
ai |
| record_format |
ai |
| series |
Frontiers in Aging Neuroscience |
| source_id |
49 |
| title |
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_unstemmed |
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_full |
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_fullStr |
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_full_unstemmed |
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_short |
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_sort |
biological brain age prediction using cortical thickness data: a large scale cohort study |
| topic |
Cognitive Neuroscience Aging |
| url |
http://dx.doi.org/10.3389/fnagi.2018.00252 |
| publishDate |
2018 |
| physical |
|
| description |
|
| container_start_page |
0 |
| container_title |
Frontiers in Aging Neuroscience |
| container_volume |
10 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792345101007061003 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T17:16:32.915Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Biological+Brain+Age+Prediction+Using+Cortical+Thickness+Data%3A+A+Large+Scale+Cohort+Study&rft.date=2018-08-22&genre=article&issn=1663-4365&volume=10&jtitle=Frontiers+in+Aging+Neuroscience&atitle=Biological+Brain+Age+Prediction+Using+Cortical+Thickness+Data%3A+A+Large+Scale+Cohort+Study&aulast=Sohn&aufirst=Kyung-Ah&rft_id=info%3Adoi%2F10.3389%2Ffnagi.2018.00252&rft.language%5B0%5D=und |
| SOLR | |
| _version_ | 1792345101007061003 |
| author | Aycheh, Habtamu M., Seong, Joon-Kyung, Shin, Jeong-Hyeon, Na, Duk L., Kang, Byungkon, Seo, Sang W., Sohn, Kyung-Ah |
| author_facet | Aycheh, Habtamu M., Seong, Joon-Kyung, Shin, Jeong-Hyeon, Na, Duk L., Kang, Byungkon, Seo, Sang W., Sohn, Kyung-Ah, Aycheh, Habtamu M., Seong, Joon-Kyung, Shin, Jeong-Hyeon, Na, Duk L., Kang, Byungkon, Seo, Sang W., Sohn, Kyung-Ah |
| author_sort | aycheh, habtamu m. |
| container_start_page | 0 |
| container_title | Frontiers in Aging Neuroscience |
| container_volume | 10 |
| description | |
| doi_str_mv | 10.3389/fnagi.2018.00252 |
| facet_avail | Online, Free |
| finc_class_facet | Medizin, Biologie, Psychologie |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM4OS9mbmFnaS4yMDE4LjAwMjUy |
| imprint | Frontiers Media SA, 2018 |
| imprint_str_mv | Frontiers Media SA, 2018 |
| institution | DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
| issn | 1663-4365 |
| issn_str_mv | 1663-4365 |
| language | Undetermined |
| last_indexed | 2024-03-01T17:16:32.915Z |
| match_str | aycheh2018biologicalbrainagepredictionusingcorticalthicknessdataalargescalecohortstudy |
| mega_collection | Frontiers Media SA (CrossRef) |
| physical | |
| publishDate | 2018 |
| publishDateSort | 2018 |
| publisher | Frontiers Media SA |
| record_format | ai |
| recordtype | ai |
| series | Frontiers in Aging Neuroscience |
| source_id | 49 |
| spelling | Aycheh, Habtamu M. Seong, Joon-Kyung Shin, Jeong-Hyeon Na, Duk L. Kang, Byungkon Seo, Sang W. Sohn, Kyung-Ah 1663-4365 Frontiers Media SA Cognitive Neuroscience Aging http://dx.doi.org/10.3389/fnagi.2018.00252 Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study Frontiers in Aging Neuroscience |
| spellingShingle | Aycheh, Habtamu M., Seong, Joon-Kyung, Shin, Jeong-Hyeon, Na, Duk L., Kang, Byungkon, Seo, Sang W., Sohn, Kyung-Ah, Frontiers in Aging Neuroscience, Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study, Cognitive Neuroscience, Aging |
| title | Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_full | Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_fullStr | Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_full_unstemmed | Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_short | Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| title_sort | biological brain age prediction using cortical thickness data: a large scale cohort study |
| title_unstemmed | Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study |
| topic | Cognitive Neuroscience, Aging |
| url | http://dx.doi.org/10.3389/fnagi.2018.00252 |