Changes of adrenocorticotropic hormone rhythm and cortisol circadian rhythm in patients with depression complicated with anxiety and their effects on the psychological state of patients
: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group ( = 21), and depression without anxiety symptoms as t...
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Published in | Frontiers in psychiatry Vol. 13; p. 1030811 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Abstract | : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group (
= 21), and depression without anxiety symptoms as the NA-MDD group (
= 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) (
< 0.05). No visible difference was found in ACTH levels of patients in different groups (
> 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher (
< 0.05). The differences in TAS scores between the two groups were significantly statistically significant (
< 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety. |
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AbstractList | : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group (
= 21), and depression without anxiety symptoms as the NA-MDD group (
= 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) (
< 0.05). No visible difference was found in ACTH levels of patients in different groups (
> 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher (
< 0.05). The differences in TAS scores between the two groups were significantly statistically significant (
< 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety. Objective: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group (n = 21), and depression without anxiety symptoms as the NA-MDD group (n = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) (P < 0.05). No visible difference was found in ACTH levels of patients in different groups (P > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher (P < 0.05). The differences in TAS scores between the two groups were significantly statistically significant (P < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety. Objective : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group ( n = 21), and depression without anxiety symptoms as the NA-MDD group ( n = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) ( P < 0.05). No visible difference was found in ACTH levels of patients in different groups ( P > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher ( P < 0.05). The differences in TAS scores between the two groups were significantly statistically significant ( P < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety. |
Author | Xie, Zheng Deng, Yajie Yao, Yuanlong Xie, Chunyu |
AuthorAffiliation | 1 Department of Psychological Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University , Zhengzhou, Henan , China 3 Medical College of Henan University , Kaifeng, Henan , China 2 Henan Center for Disease Control and Prevention , Zhengzhou, Henan , China |
AuthorAffiliation_xml | – name: 1 Department of Psychological Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University , Zhengzhou, Henan , China – name: 3 Medical College of Henan University , Kaifeng, Henan , China – name: 2 Henan Center for Disease Control and Prevention , Zhengzhou, Henan , China |
Author_xml | – sequence: 1 givenname: Zheng surname: Xie fullname: Xie, Zheng organization: Department of Psychological Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China – sequence: 2 givenname: Yajie surname: Deng fullname: Deng, Yajie organization: Department of Psychological Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China – sequence: 3 givenname: Chunyu surname: Xie fullname: Xie, Chunyu organization: Henan Center for Disease Control and Prevention, Zhengzhou, Henan, China – sequence: 4 givenname: Yuanlong surname: Yao fullname: Yao, Yuanlong organization: Medical College of Henan University, Kaifeng, Henan, China |
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CitedBy_id | crossref_primary_10_2147_NDT_S402831 crossref_primary_10_1016_j_pmip_2024_100129 |
Cites_doi | 10.1038/s41598-021-02231-0 10.1111/sjop.12501 10.1186/s13063-019-3243-5 10.1016/j.psychres.2018.09.047 10.1109/TNSRE.2020.3013429 10.1016/j.inffus.2020.01.008 10.1016/j.brainres.2018.04.031 10.1016/j.jgr.2017.01.010 10.1155/2021/4563100 10.1016/j.biopha.2021.111306 10.4103/0028-3886.329601 10.1109/JBHI.2020.3032678 10.1016/j.psyneuen.2020.104776 10.3390/ijerph16122150 10.1007/978-981-32-9705-0_9 10.1007/s00213-019-05342-9 10.1007/978-981-32-9705-0_14 10.1016/j.bbrc.2020.05.159 10.1016/j.psyneuen.2018.07.025 10.1007/s11920-019-1047-7 10.1016/j.jocn.2019.05.059 10.1016/j.neuropharm.2018.01.045 10.1039/c9fo03104a 10.1016/j.psyneuen.2021.105432 10.5812/ijem.66979 10.1080/10253890.2021.1877271 10.1007/s11033-019-05129-3 10.1016/j.jad.2019.03.058 10.1016/j.conb.2019.12.003 10.1016/j.clinph.2021.06.019 10.1159/000511348 10.3390/bios11120499 10.1016/j.jfda.2018.08.001 |
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Keywords | cortisol adrenocortical hormones depression artificial intelligence circadian rhythm |
Language | English |
License | Copyright © 2023 Xie, Deng, Xie and Yao. 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. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Computational Psychiatry, a section of the journal Frontiers in Psychiatry Edited by: Muhammad Zakarya, Abdul Wali Khan University Mardan, Pakistan Reviewed by: Ahmad Ali, Shanghai Jiao Tong University, China; Ana Lilia Cerda Molina, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz,” Mexico |
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Snippet | : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental... Objective : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on... Objective : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on... Objective: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on... |
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StartPage | 1030811 |
SubjectTerms | adrenocortical hormones artificial intelligence circadian rhythm cortisol depression Psychiatry |
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Title | Changes of adrenocorticotropic hormone rhythm and cortisol circadian rhythm in patients with depression complicated with anxiety and their effects on the psychological state of patients |
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