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Pang J, Yin H, Sun Z, Xia K. Clinical study of acupuncture combined with medication for the elderly with Alzheimer disease. JOURNAL OF ACUPUNCTURE AND TUINA SCIENCE 2022. [DOI: 10.1007/s11726-022-1346-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Abstract
Objective
To observe the impact of mind-regulating acupuncture plus donepezil on the cognitive ability, mean cerebral blood flow velocity, event-related potential P300, and activities of daily living (ADL) in the aged patients with Alzheimer disease (AD).
Methods
Sixty senile AD patients were divided into a treatment group and a control group following the envelope method for random allocation, with 30 cases in each group. Based on the conventional treatment of the internal medicine, the control group received oral donepezil, and the treatment group received oral donepezil plus mind-regulating acupuncture. After 4-week treatment, the two groups were evaluated by the mini-mental state examination (MMSE), Alzheimer disease assessment scale-cognitive part (ADAS-Cog), and ADL; changes in P300 and the mean cerebral blood flow velocity were also observed.
Results
Before treatment, there were no significant differences in the scores of MMSE, ADAS-Cog, or ADL between the two groups (P>0.05). The MMSE score increased after treatment in both groups and was notably higher in the treatment group than in the control group, showing intra-group and inter-group statistical significance (P<0.05). After treatment, the ADAS-Cog and ADL scores dropped in both groups and were markedly lower in the treatment group than in the control group, also showing intra-group and inter-group statistical significance (P<0.05). Compared with the same group before treatment, the latency of P300 was shortened and the amplitude was extended in both groups, all with statistical significance (P<0.05); the latency was shorter and the amplitude was larger in the treatment group than in the control group after treatment, presenting significant between-group differences (P<0.05). The mean blood flow velocity accelerated after the intervention in both groups, and the differences were statistically significant (P<0.05); the improvement in the treatment group was more notable than that in the control group (P<0.05).
Conclusion
Mind-regulating acupuncture plus donepezil can regulate the latency and amplitude of P300, increase cerebral blood flow, and improve the learning and memory abilities of AD patients.
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Gao Z, Zhao W, Liu S, Liu Z, Yang C, Xu Y. Facial Emotion Recognition in Schizophrenia. Front Psychiatry 2021; 12:633717. [PMID: 34017272 PMCID: PMC8129182 DOI: 10.3389/fpsyt.2021.633717] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/22/2021] [Indexed: 01/17/2023] Open
Abstract
Deficits in facial emotion recognition are one of the most common cognitive impairments, and they have been extensively studied in various psychiatric disorders, especially in schizophrenia. However, there is still a lack of conclusive evidence about the factors associated with schizophrenia and impairment at each stage of the disease, which poses a challenge to the clinical management of patients. Based on this, we summarize facial emotion cognition among patients with schizophrenia, introduce the internationally recognized Bruce-Young face recognition model, and review the behavioral and event-related potential studies on the recognition of emotions at each stage of the face recognition process, including suggestions for the future direction of clinical research to explore the underlying mechanisms of schizophrenia.
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Affiliation(s)
- Zhiyun Gao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Department of Humanities and Social Science, Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Wentao Zhao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chengxiang Yang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
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