In Table 1 of the published article, the female data of the “Gender” column in AD patients was incorrectly displayed as “28”. The corrected Table 1 appears below.
Table 1
| Variables | AD patients (n = 100) | Healthy controls (n = 69) | Statistics | p |
|---|---|---|---|---|
| Demographic factors | ||||
| Age (years) | 65.37 ± 9.56 | 63.45 ± 7.33 | t = 1.48 | 0.142 |
| Gender (male/female) | 48/52 | 28/41 | x 2 = 0.91 | 0.341 |
| Education (years) | 7.98 ± 4.78 | 8.42 ± 4.47 | t = −0.60 | 0.550 |
| Psychiatric symptom | ||||
| NPI-12 | 8.02 ± 11.45 | 1.96 ± 5.14 | t = 4.60 | 0.000** |
| General cognitive performance | ||||
| MMSE | 19.20 ± 4.97 | 28.50 ± 1.60 | t = −14.99 | 0.000** |
| MoCA | 13.32 ± 5.60 | 24.26 ± 3.93 | t = −14.93 | 0.000** |
| Memory performance | ||||
| CAVLT-immediate | 3.42 ± 2.04 | 8.49 ± 1.92 | t = 16.01 | 0.000** |
| CAVLT-delay | 1.33 ± 2.50 | 9.30 ± 2.82 | t = 18.59 | 0.000** |
| CAVLT-recognition | 10.70 ± 4.14 | 14.15 ± 1.06 | t = −6.73 | 0.000** |
| Language performance | ||||
| VFT | 9.66 ± 4.10 | 17.46 ± 4.03 | t = −12.18 | 0.000** |
| Attention performance | ||||
| DS-forward | 5.79 ± 1.41 | 6.86 ± 1.42 | t = −4.83 | 0.000** |
| DS-backward | 3.24 ± 1.20 | 4.07 ± 1.13 | t = −4.54 | 0.000** |
| Visual-spatial performance | ||||
| CDT | 1.73 ± 1.25 | 3.38 ± 1.00 | t = −9.47 | 0.000** |
Demographic and clinical data.
AD, Alzheimer's disease; NPI-12, Neuropsychiatric Inventory-12; MMSE, Mini-Mental State Examination; MoCA, Montreal Cognitive Assessment; CAVLT, Chinese version of the Auditory Verbal Learning Test; VFT, Verbal Fluency Test; DS, Digit Span Test; CDT, Clock Drawing Test.
** p < 0.01.
The original version of this article has been updated.
Statements
Publisher’s note
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Summary
Keywords
Alzheimer's disease, dynamic functional network connectivity, functional magnetic resonance imaging, independent component analysis, network
Citation
Pang X, Ji Y, Hu C, Dai Y, Hu P, Wu X and Wang K (2025) Correction: Altered dynamic functional network connectivity patterns in Alzheimer's disease: insights into neural dysfunction. Front. Aging Neurosci. 17:1693649. doi: 10.3389/fnagi.2025.1693649
Received
27 August 2025
Accepted
15 September 2025
Published
25 September 2025
Volume
17 - 2025
Edited and reviewed by
Ana Lloret, University of Valencia, Spain
Updates
Copyright
© 2025 Pang, Ji, Hu, Dai, Hu, Wu and Wang.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kai Wang wangkai1964@126.comXingqi Wu xingqiwuwxq@126.comPanpan Hu panpanhuhpp@126.com
†These authors have contributed equally to this work
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.