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Anmella G, De Prisco M, Joyce JB, Valenzuela-Pascual C, Mas-Musons A, Oliva V, Fico G, Chatzisofroniou G, Mishra S, Al-Soleiti M, Corponi F, Giménez-Palomo A, Montejo L, González-Campos M, Popovic D, Pacchiarotti I, Valentí M, Cavero M, Colomer L, Grande I, Benabarre A, Llach CD, Raduà J, McInnis M, Hidalgo-Mazzei D, Frye MA, Murru A, Vieta E. Automated Speech Analysis in Bipolar Disorder: The CALIBER Study Protocol and Preliminary Results. J Clin Med 2024; 13:4997. [PMID: 39274208 PMCID: PMC11396536 DOI: 10.3390/jcm13174997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 08/06/2024] [Accepted: 08/13/2024] [Indexed: 09/16/2024] Open
Abstract
Background: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns. Detecting these patterns is crucial for diagnosis and monitoring, currently assessed subjectively. Advances in natural language processing offer opportunities to objectively analyze them. Aims: To (i) correlate speech features with manic-depressive symptom severity in BD, (ii) develop predictive models for diagnostic and treatment outcomes, and (iii) determine the most relevant speech features and tasks for these analyses. Methods: This naturalistic, observational study involved longitudinal audio recordings of BD patients at euthymia, during acute manic/depressive phases, and after-response. Patients participated in clinical evaluations, cognitive tasks, standard text readings, and storytelling. After automatic diarization and transcription, speech features, including acoustics, content, formal aspects, and emotionality, will be extracted. Statistical analyses will (i) correlate speech features with clinical scales, (ii) use lasso logistic regression to develop predictive models, and (iii) identify relevant speech features. Results: Audio recordings from 76 patients (24 manic, 21 depressed, 31 euthymic) were collected. The mean age was 46.0 ± 14.4 years, with 63.2% female. The mean YMRS score for manic patients was 22.9 ± 7.1, reducing to 5.3 ± 5.3 post-response. Depressed patients had a mean HDRS-17 score of 17.1 ± 4.4, decreasing to 3.3 ± 2.8 post-response. Euthymic patients had mean YMRS and HDRS-17 scores of 0.97 ± 1.4 and 3.9 ± 2.9, respectively. Following data pre-processing, including noise reduction and feature extraction, comprehensive statistical analyses will be conducted to explore correlations and develop predictive models. Conclusions: Automated speech analysis in BD could provide objective markers for psychopathological alterations, improving diagnosis, monitoring, and response prediction. This technology could identify subtle alterations, signaling early signs of relapse. Establishing standardized protocols is crucial for creating a global speech cohort, fostering collaboration, and advancing BD understanding.
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Affiliation(s)
- Gerard Anmella
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Michele De Prisco
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
| | - Jeremiah B Joyce
- School of Graduate Medical Education, Mayo Clinic, Rochester, MN 55902, USA
| | - Claudia Valenzuela-Pascual
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Ariadna Mas-Musons
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Vincenzo Oliva
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Giovanna Fico
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | | | - Sanjeev Mishra
- Alix School of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Majd Al-Soleiti
- School of Graduate Medical Education, Mayo Clinic, Rochester, MN 55902, USA
| | - Filippo Corponi
- School of Informatics, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Anna Giménez-Palomo
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Laura Montejo
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Meritxell González-Campos
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Dina Popovic
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Isabella Pacchiarotti
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Marc Valentí
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Myriam Cavero
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Lluc Colomer
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Iria Grande
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Antoni Benabarre
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Cristian-Daniel Llach
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5G 1M9, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Joaquim Raduà
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Diego Hidalgo-Mazzei
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Mark A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Andrea Murru
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic of Barcelona, 08036 Barcelona, Catalonia, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Catalonia, Spain
- Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), 08007 Barcelona, Catalonia, Spain
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Li B, Deng S, Zhuo B, Sang B, Chen J, Zhang M, Tian G, Zhang L, Du Y, Zheng P, Yue G, Meng Z. Effect of Acupuncture vs Sham Acupuncture on Patients With Poststroke Motor Aphasia: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2352580. [PMID: 38252438 PMCID: PMC10804271 DOI: 10.1001/jamanetworkopen.2023.52580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 11/30/2023] [Indexed: 01/23/2024] Open
Abstract
Importance Motor aphasia is common among patients with stroke. Acupuncture is recommended as an alternative therapy for poststroke aphasia, but its efficacy remains uncertain. Objective To investigate the effects of acupuncture on language function, neurological function, and quality of life in patients with poststroke motor aphasia. Design, Setting, and Participants This multicenter, sham-controlled, randomized clinical trial was conducted in 3 tertiary hospitals in China from October 21, 2019, to November 13, 2021. Adult patients with poststroke motor aphasia were enrolled. Data analysis was performed from February to April 2023. Interventions Eligible participants were randomly allocated (1:1) to manual acupuncture (MA) or sham acupuncture (SA) groups. Both groups underwent language training and conventional treatments. Main Outcomes and Measures The primary outcomes were the aphasia quotient (AQ) of the Western Aphasia Battery (WAB) and scores on the Chinese Functional Communication Profile (CFCP) at 6 weeks. Secondary outcomes included WAB subitems, Boston Diagnostic Aphasia Examination, National Institutes of Health Stroke Scale, Stroke-Specific Quality of Life Scale, Stroke and Aphasia Quality of Life Scale-39, and Health Scale of Traditional Chinese Medicine scores at 6 weeks and 6 months after onset. All statistical analyses were performed according to the intention-to-treat principle. Results Among 252 randomized patients (198 men [78.6%]; mean [SD] age, 60.7 [7.5] years), 231 were included in the modified intention-to-treat analysis (115 in the MA group and 116 in the SA group). Compared with the SA group, the MA group had significant increases in AQ (difference, 7.99 points; 95% CI, 3.42-12.55 points; P = .001) and CFCP (difference, 23.51 points; 95% CI, 11.10-35.93 points; P < .001) scores at week 6 and showed significant improvements in AQ (difference, 10.34; 95% CI, 5.75-14.93; P < .001) and CFCP (difference, 27.43; 95% CI, 14.75-40.10; P < .001) scores at the end of follow-up. Conclusions and Relevance In this randomized clinical trial, patients with poststroke motor aphasia who received 6 weeks of MA compared with those who received SA demonstrated statistically significant improvements in language function, quality of life, and neurological impairment from week 6 of treatment to the end of follow-up at 6 months after onset. Trial Registration Chinese Clinical Trial Registry: ChiCTR1900026740.
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Affiliation(s)
- Boxuan Li
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shizhe Deng
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Bifang Zhuo
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Bomo Sang
- Air Force Medical Center of People’s Liberation Army, Beijing, China
| | - Junjie Chen
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Menglong Zhang
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Guang Tian
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lili Zhang
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yuzheng Du
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Peng Zheng
- Changchun University of Chinese Medicine, Changchun, China
| | - Gonglei Yue
- Qilu Hospital of Shandong University, Shandong, China
| | - Zhihong Meng
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Zhang XY, Yu WY, Teng WJ, Lu MY, Wu XL, Yang YQ, Chen C, Liu LX, Liu SH, Li JJ. Effectiveness of Melodic Intonation Therapy in Chinese Mandarin on Non-fluent Aphasia in Patients After Stroke: A Randomized Control Trial. Front Neurosci 2021; 15:648724. [PMID: 34366768 PMCID: PMC8344357 DOI: 10.3389/fnins.2021.648724] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 06/10/2021] [Indexed: 01/31/2023] Open
Abstract
Melodic intonation therapy (MIT) positively impacts the speech function of patients suffering from aphasia and strokes. Fixed-pitch melodies and phrases formulated in MIT provide the key to the target language to open the language pathway. This randomized controlled trial compared the effects of music therapy-based MIT and speech therapy on patients with non-fluent aphasia. The former is more effective in the recovery of language function in patients with aphasia. Forty-two participants were enrolled in the study, and 40 patients were registered. The participants were randomly assigned to two groups: the intervention group (n = 20; 16 males, 4 females; 52.90 ± 9.08 years), which received MIT, and the control group (n = 20; 15 males, 5 females; 54.05 ± 10.81 years), which received speech therapy. The intervention group received MIT treatment for 30 min/day, five times a week for 8 weeks, and the control group received identical sessions of speech therapy for 30 min/day, five times a week for 8 weeks. Each participant of the group was assessed by a Boston Diagnostic Aphasia Examination (BDAE) at the baseline (t1, before the start of the experiment), and after 8 weeks (t2, the experiment was finished). The Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) were also measured on the time points. The best medical care of the two groups is the same. Two-way ANOVA analysis of variance was used only for data detection. In the spontaneous speech (information), the listening comprehension (right or wrong, word recognition, and sequential order) and repetitions of the intervention group were significantly higher than the control group in terms of the cumulative effect of time and the difference between groups after 8 weeks. The intervention group has a significant time effect in fluency, but the results after 8 weeks were not significantly different from those in the control group. In terms of naming, the intervention group was much better than the control group in spontaneous naming. Regarding object naming, reaction naming, and sentence completing, the intervention group showed a strong time accumulation effect. Still, the results after 8 weeks were not significantly different from those in the control group. These results indicate that, compared with speech therapy, MIT based on music therapy is a more effective musical activity and is effective and valuable for the recovery of speech function in patients with non-fluent aphasia. As a more professional non-traumatic treatment method, MIT conducted by qualified music therapists requires deeper cooperation between doctors and music therapists to improve rehabilitating patients with aphasia. The Ethics Committee of the China Rehabilitation Research Center approved this study (Approval No. 2020-013-1 on April 1, 2020) and was registered with the Chinese Clinical Trial Registry (Registration number: Clinical Trials ChiCTR2000037871) on September 3, 2020.
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Affiliation(s)
- Xiao-Ying Zhang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Music Therapy Center, Department of Psychology, China Rehabilitation Research Center, Beijing, China
| | - Wei-Yong Yu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Imaging, China Rehabilitation Research Center, Beijing, China
| | - Wen-Jia Teng
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Music Therapy Center, Department of Psychology, China Rehabilitation Research Center, Beijing, China
| | - Meng-Yang Lu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Music Therapy Center, Department of Psychology, China Rehabilitation Research Center, Beijing, China
| | - Xiao-Li Wu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Yu-Qi Yang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Chen Chen
- Department of Music Education, Xinghai Conservatory of Music, Guangzhou, China
| | - Li-Xu Liu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Neurorehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Song-Huai Liu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Music Therapy Center, Department of Psychology, China Rehabilitation Research Center, Beijing, China
| | - Jian-Jun Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China
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