Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum]
Simfukwe C, An SSA, Youn YC. Neuropsychiatr Dis Treat. 2024;20:2375—2389. The authors have advised that the funding statement on page 2387 is incorrect. The correct statement should read as follows. FundingThis research was supported by the Cooperative Research Program for Agriculture Sci...
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2024-12-01
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| Series: | Neuropsychiatric Disease and Treatment |
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| author | Simfukwe C An SSA Youn YC |
| author_facet | Simfukwe C An SSA Youn YC |
| author_sort | Simfukwe C |
| collection | DOAJ |
| description | Simfukwe C, An SSA, Youn YC. Neuropsychiatr Dis Treat. 2024;20:2375—2389.
The authors have advised that the funding statement on page 2387 is incorrect. The correct statement should read as follows.
FundingThis research was supported by the Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01712403) Rural Development Administration, Republic of Korea, and a basic science research program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2023-00251396 and 2021R1A6A1A03038996).
The authors apologize for this error. |
| format | Article |
| id | doaj-art-503d615a0a5f432faa3bc0092f401b9c |
| institution | OA Journals |
| issn | 1178-2021 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Neuropsychiatric Disease and Treatment |
| spelling | doaj-art-503d615a0a5f432faa3bc0092f401b9c2025-08-20T01:59:43ZengDove Medical PressNeuropsychiatric Disease and Treatment1178-20212024-12-01Volume 202569257098572Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum]Simfukwe CAn SSAYoun YCSimfukwe C, An SSA, Youn YC. Neuropsychiatr Dis Treat. 2024;20:2375—2389. The authors have advised that the funding statement on page 2387 is incorrect. The correct statement should read as follows. FundingThis research was supported by the Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01712403) Rural Development Administration, Republic of Korea, and a basic science research program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2023-00251396 and 2021R1A6A1A03038996). The authors apologize for this error.https://www.dovepress.com/corrigendum-contribution-of-scalp-regions-to-machine-learning-based-cl-peer-reviewed-fulltext-article-NDTelectroencephalographyeyes-openeyes-closequantitativemachine learningalzheimer's diseasemild cognitive impairmentpower spectrum density. |
| spellingShingle | Simfukwe C An SSA Youn YC Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] Neuropsychiatric Disease and Treatment electroencephalography eyes-open eyes-close quantitative machine learning alzheimer's disease mild cognitive impairment power spectrum density. |
| title | Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] |
| title_full | Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] |
| title_fullStr | Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] |
| title_full_unstemmed | Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] |
| title_short | Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] |
| title_sort | contribution of scalp regions to machine learning based classification of dementia utilizing resting state qeeg signals corrigendum |
| topic | electroencephalography eyes-open eyes-close quantitative machine learning alzheimer's disease mild cognitive impairment power spectrum density. |
| url | https://www.dovepress.com/corrigendum-contribution-of-scalp-regions-to-machine-learning-based-cl-peer-reviewed-fulltext-article-NDT |
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