Protocol to study the neural mechanism of music therapy in alleviating depression using EEG-LFP signal recording
Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processin...
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Published in | STAR protocols Vol. 6; no. 1; p. 103602 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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21.03.2025
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Abstract | Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions.
For complete details on the use and execution of this protocol, please refer to Lv et al.1
[Display omitted]
•Music therapy design with the control of multiple factors•EEG-LFP-physio-signal data recording and preprocessing•Analysis of neural oscillations and temporal coupling•Auditory entrainment and clinical assessment
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. |
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AbstractList | Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. For complete details on the use and execution of this protocol, please refer to Lv et al.1.Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. For complete details on the use and execution of this protocol, please refer to Lv et al.1. Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions.For complete details on the use and execution of this protocol, please refer to Lv et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. For complete details on the use and execution of this protocol, please refer to Lv et al. 1 • Music therapy design with the control of multiple factors • EEG-LFP-physio-signal data recording and preprocessing • Analysis of neural oscillations and temporal coupling • Auditory entrainment and clinical assessment Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. For complete details on the use and execution of this protocol, please refer to Lv et al. . Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. For complete details on the use and execution of this protocol, please refer to Lv et al.1 [Display omitted] •Music therapy design with the control of multiple factors•EEG-LFP-physio-signal data recording and preprocessing•Analysis of neural oscillations and temporal coupling•Auditory entrainment and clinical assessment Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Here, we present a protocol for studying the neural mechanism of music therapy in alleviating depression using a combined electroencephalogram (EEG) and local field potential (LFP) signal recording. We describe steps for subject recruitment, surgery for implanting recording devices, signal processing, and emotional assessments. We then detail procedures for recording and analyzing EEG and LFP data. This protocol focuses on understanding how personal music preferences contribute to the therapeutic benefits of music in treating psychiatric conditions. |
ArticleNumber | 103602 |
Author | Lin, Qixuan Cao, Yu Qiu, Xian Wu, Yunhao Sun, Bomin Lv, Xin |
Author_xml | – sequence: 1 givenname: Qixuan surname: Lin fullname: Lin, Qixuan organization: Center of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China – sequence: 2 givenname: Yu surname: Cao fullname: Cao, Yu organization: Shandong Mental Health Center, Shandong 250014, China – sequence: 3 givenname: Yunhao surname: Wu fullname: Wu, Yunhao organization: Center of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China – sequence: 4 givenname: Xian surname: Qiu fullname: Qiu, Xian organization: Department of Nursing, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai 200025, China – sequence: 5 givenname: Bomin surname: Sun fullname: Sun, Bomin email: bomin_sun@163.com organization: Center of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China – sequence: 6 givenname: Xin surname: Lv fullname: Lv, Xin email: f1217697109@gmail.com organization: Center of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China |
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Cites_doi | 10.1016/j.dib.2022.108663 10.1016/j.jad.2021.05.122 10.1123/jpah.2018-0074 10.1196/annals.1360.034 10.1016/j.neuron.2016.02.010 10.1080/07853890.2018.1560735 10.1016/j.explore.2022.11.001 10.1016/j.neuroimage.2020.117350 10.1016/j.neuroimage.2023.119862 10.1016/j.jad.2020.12.185 10.1016/j.ctim.2016.03.015 10.1002/da.23089 10.1016/j.jpsychires.2022.04.028 10.1111/bjop.12340 10.1146/annurev-neuro-062012-170330 10.1007/s00285-012-0534-9 10.1155/2011/156869 10.1192/bjp.152.5.660 10.1146/annurev-neuro-062111-150444 10.1016/j.nbd.2023.106049 10.1038/nn.3952 |
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References | Liao, Papathanassoglou, Zhang, Li, Gupta, Lu, Wu, Frishkopf (bib26) 2023; 19 Moulton, Strawbridge, Tsapekos, Oprea, Carter, Hayes, Cleare, Marwood, Mantingh, Young (bib16) 2021; 282 Jordan, Lawlor, Loughrey (bib25) 2022; 151 Koelsch (bib4) 2020; 223 Atiwannapat, Thaipisuttikul, Poopityastaporn, Katekaew (bib5) 2016; 26 van der Steen, van Soest-Poortvliet, van der Wouden, Bruinsma, Scholten, Vink (bib9) 2017; 5 Miyapuram, Ahmad, Pandey, Lomas (bib12) 2022; 45 Zhu, Wang, Tang, Li, Xu, Zhang (bib2) 2021; 292 Malerba, Kopell (bib24) 2013; 66 Shamai-Leshem, Lazarov, Pine, Bar-Haim (bib6) 2021; 38 Bradt, Dileo, Myers-Coffman, Biondo, Biondo (bib8) 2021; 10 Buzsáki, Schomburg (bib19) 2015; 18 Lv, Wang, Zhang, Ma, Liu, Ye, Wu, Voon, Sun (bib1) 2024; 43 Cristina Vidal, Sequeira, Costa, Pinto (bib10) 2024; 51 Aalbers, Fusar-Poli, Freeman, Spreen, Ket, Vink, Maratos, Crawford, Chen, Gold, Gold (bib7) 2017; 2017 Colgin (bib21) 2013; 36 Sauseng, Peylo, Biel, Friedrich, Romberg-Taylor (bib23) 2019; 110 Neudorfer, Butenko, Oxenford, Rajamani, Achtzehn, Goede, Hollunder, Ríos, Hart, Tasserie (bib14) 2023; 268 Zheng, Zhao, Phillips, Liu, Cai, Sun, Huang (bib15) 1988; 152 Jadhav, Rothschild, Roumis, Frank (bib22) 2016; 90 Howe, Clevenger, McElhiney, Mihalic, Ragan (bib18) 2019; 16 Oostenveld, Fries, Maris, Schoffelen (bib13) 2011; 2011 Koelsch (bib3) 2005; 1060 Facco, Stellini, Bacci, Manani, Pavan, Cavallin, Zanette (bib17) 2013; 79 Li, Chen, Xu, Chen, Wang (bib11) 2023; 179 Buzsaki, Wang (bib20) 2012; 35 Howe (10.1016/j.xpro.2025.103602_bib18) 2019; 16 Atiwannapat (10.1016/j.xpro.2025.103602_bib5) 2016; 26 Lv (10.1016/j.xpro.2025.103602_bib1) 2024; 43 Oostenveld (10.1016/j.xpro.2025.103602_bib13) 2011; 2011 Sauseng (10.1016/j.xpro.2025.103602_bib23) 2019; 110 Buzsaki (10.1016/j.xpro.2025.103602_bib20) 2012; 35 Miyapuram (10.1016/j.xpro.2025.103602_bib12) 2022; 45 Koelsch (10.1016/j.xpro.2025.103602_bib3) 2005; 1060 Shamai-Leshem (10.1016/j.xpro.2025.103602_bib6) 2021; 38 Aalbers (10.1016/j.xpro.2025.103602_bib7) 2017; 2017 Moulton (10.1016/j.xpro.2025.103602_bib16) 2021; 282 Malerba (10.1016/j.xpro.2025.103602_bib24) 2013; 66 Cristina Vidal (10.1016/j.xpro.2025.103602_bib10) 2024; 51 Liao (10.1016/j.xpro.2025.103602_bib26) 2023; 19 Buzsáki (10.1016/j.xpro.2025.103602_bib19) 2015; 18 Zheng (10.1016/j.xpro.2025.103602_bib15) 1988; 152 van der Steen (10.1016/j.xpro.2025.103602_bib9) 2017; 5 Li (10.1016/j.xpro.2025.103602_bib11) 2023; 179 Jordan (10.1016/j.xpro.2025.103602_bib25) 2022; 151 Zhu (10.1016/j.xpro.2025.103602_bib2) 2021; 292 Koelsch (10.1016/j.xpro.2025.103602_bib4) 2020; 223 Neudorfer (10.1016/j.xpro.2025.103602_bib14) 2023; 268 Bradt (10.1016/j.xpro.2025.103602_bib8) 2021; 10 Colgin (10.1016/j.xpro.2025.103602_bib21) 2013; 36 Facco (10.1016/j.xpro.2025.103602_bib17) 2013; 79 Jadhav (10.1016/j.xpro.2025.103602_bib22) 2016; 90 |
References_xml | – volume: 18 start-page: 484 year: 2015 end-page: 489 ident: bib19 article-title: What does gamma coherence tell us about inter-regional neural communication? publication-title: Nat. Neurosci. – volume: 223 year: 2020 ident: bib4 article-title: A coordinate-based meta-analysis of music-evoked emotions publication-title: Neuroimage – volume: 36 start-page: 295 year: 2013 end-page: 312 ident: bib21 article-title: Mechanisms and Functions of Theta Rhythms publication-title: Annu. Rev. Neurosci. – volume: 2017 start-page: CD004517 year: 2017 ident: bib7 article-title: Music therapy for depression publication-title: Cochrane Database Syst. Rev. – volume: 35 start-page: 203 year: 2012 end-page: 225 ident: bib20 article-title: Mechanisms of Gamma Oscillations publication-title: Annu. Rev. Neurosci. – volume: 66 start-page: 1361 year: 2013 end-page: 1386 ident: bib24 article-title: Phase resetting reduces theta–gamma rhythmic interaction to a one-dimensional map publication-title: J. Math. Biol. – volume: 5 start-page: CD003477 year: 2017 ident: bib9 article-title: Music-based therapeutic interventions for people with dementia publication-title: Cochrane Database Syst. Rev. – volume: 26 start-page: 141 year: 2016 end-page: 145 ident: bib5 article-title: Active versus receptive group music therapy for major depressive disorder—A pilot study publication-title: Complement. Ther. Med. – volume: 268 start-page: 119862 year: 2023 ident: bib14 article-title: Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks publication-title: Neuroimage – volume: 51 start-page: 223 year: 2024 ident: bib10 article-title: Music as an acoustic neuromodulation tool in physiotherapy post-stroke: a case study publication-title: Ann. Med. – volume: 282 start-page: 280 year: 2021 end-page: 283 ident: bib16 article-title: The Maudsley 3-item Visual Analogue Scale (M3VAS): Validation of a scale measuring core symptoms of depression publication-title: J. Affect. Disord. – volume: 1060 start-page: 412 year: 2005 end-page: 418 ident: bib3 article-title: Investigating emotion with music - Neuroscientific approaches publication-title: Ann. NY Acad. Sci. – volume: 292 start-page: 592 year: 2021 end-page: 602 ident: bib2 article-title: The effect of music, massage, yoga and exercise on antenatal depression: A meta-analysis publication-title: J. Affect. Disord. – volume: 19 start-page: 571 year: 2023 end-page: 577 ident: bib26 article-title: A cross-cultural randomized pilot trial of western-based and five elements music therapy for psychological well-being publication-title: Explore – volume: 79 start-page: 1389 year: 2013 end-page: 1395 ident: bib17 article-title: Validation of visual analogue scale for anxiety (VAS-A) in preanesthesia evaluation publication-title: Minerva Anestesiol. – volume: 151 start-page: 382 year: 2022 end-page: 390 ident: bib25 article-title: A systematic review of music interventions for the cognitive and behavioural symptoms of mild cognitive impairment (non-dementia) publication-title: J. Psychiatr. Res. – volume: 38 start-page: 134 year: 2021 end-page: 145 ident: bib6 article-title: A randomized controlled trial of gaze-contingent music reward therapy for major depressive disorder publication-title: Depress. Anxiety – volume: 16 start-page: 406 year: 2019 end-page: 415 ident: bib18 article-title: Measurement of Children's Real-Time Physical Activity Enjoyment Using a New Visual Analog Scale publication-title: J. Phys. Act. Health – volume: 2011 year: 2011 ident: bib13 article-title: FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data publication-title: Comput. Intell. Neurosci. – volume: 10 start-page: CD006911 year: 2021 ident: bib8 article-title: Music interventions for improving psychological and physical outcomes in people with cancer publication-title: Cochrane Database Syst. Rev. – volume: 45 start-page: 108663 year: 2022 ident: bib12 article-title: Electroencephalography (EEG) dataset during naturalistic music listening comprising different genres with familiarity and enjoyment ratings publication-title: Data Brief – volume: 179 start-page: 106049 year: 2023 ident: bib11 article-title: Non-invasive sensory neuromodulation in epilepsy: Updates and future perspectives publication-title: Neurobiol. Dis. – volume: 90 start-page: 113 year: 2016 end-page: 127 ident: bib22 article-title: Coordinated Excitation and Inhibition of Prefrontal Ensembles during Awake Hippocampal Sharp-Wave Ripple Events publication-title: Neuron – volume: 152 start-page: 660 year: 1988 end-page: 664 ident: bib15 article-title: Validity and reliability of the Chinese Hamilton Depression Rating Scale publication-title: Br. J. Psychiatry – volume: 110 start-page: 245 year: 2019 end-page: 255 ident: bib23 article-title: Does cross-frequency phase coupling of oscillatory brain activity contribute to a better understanding of visual working memory? publication-title: Br. J. Psychol. – volume: 43 year: 2024 ident: bib1 article-title: Auditory entrainment coordinates cortical-BNST-NAc triple time locking to alleviate the depressive disorder publication-title: Cell Rep. – volume: 45 start-page: 108663 year: 2022 ident: 10.1016/j.xpro.2025.103602_bib12 article-title: Electroencephalography (EEG) dataset during naturalistic music listening comprising different genres with familiarity and enjoyment ratings publication-title: Data Brief doi: 10.1016/j.dib.2022.108663 – volume: 292 start-page: 592 year: 2021 ident: 10.1016/j.xpro.2025.103602_bib2 article-title: The effect of music, massage, yoga and exercise on antenatal depression: A meta-analysis publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2021.05.122 – volume: 16 start-page: 406 year: 2019 ident: 10.1016/j.xpro.2025.103602_bib18 article-title: Measurement of Children's Real-Time Physical Activity Enjoyment Using a New Visual Analog Scale publication-title: J. Phys. Act. Health doi: 10.1123/jpah.2018-0074 – volume: 43 year: 2024 ident: 10.1016/j.xpro.2025.103602_bib1 article-title: Auditory entrainment coordinates cortical-BNST-NAc triple time locking to alleviate the depressive disorder publication-title: Cell Rep. – volume: 10 start-page: CD006911 year: 2021 ident: 10.1016/j.xpro.2025.103602_bib8 article-title: Music interventions for improving psychological and physical outcomes in people with cancer publication-title: Cochrane Database Syst. Rev. – volume: 1060 start-page: 412 year: 2005 ident: 10.1016/j.xpro.2025.103602_bib3 article-title: Investigating emotion with music - Neuroscientific approaches publication-title: Ann. NY Acad. Sci. doi: 10.1196/annals.1360.034 – volume: 79 start-page: 1389 year: 2013 ident: 10.1016/j.xpro.2025.103602_bib17 article-title: Validation of visual analogue scale for anxiety (VAS-A) in preanesthesia evaluation publication-title: Minerva Anestesiol. – volume: 90 start-page: 113 year: 2016 ident: 10.1016/j.xpro.2025.103602_bib22 article-title: Coordinated Excitation and Inhibition of Prefrontal Ensembles during Awake Hippocampal Sharp-Wave Ripple Events publication-title: Neuron doi: 10.1016/j.neuron.2016.02.010 – volume: 51 start-page: 223 year: 2024 ident: 10.1016/j.xpro.2025.103602_bib10 article-title: Music as an acoustic neuromodulation tool in physiotherapy post-stroke: a case study publication-title: Ann. Med. doi: 10.1080/07853890.2018.1560735 – volume: 19 start-page: 571 year: 2023 ident: 10.1016/j.xpro.2025.103602_bib26 article-title: A cross-cultural randomized pilot trial of western-based and five elements music therapy for psychological well-being publication-title: Explore doi: 10.1016/j.explore.2022.11.001 – volume: 223 year: 2020 ident: 10.1016/j.xpro.2025.103602_bib4 article-title: A coordinate-based meta-analysis of music-evoked emotions publication-title: Neuroimage doi: 10.1016/j.neuroimage.2020.117350 – volume: 268 start-page: 119862 year: 2023 ident: 10.1016/j.xpro.2025.103602_bib14 article-title: Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2023.119862 – volume: 282 start-page: 280 year: 2021 ident: 10.1016/j.xpro.2025.103602_bib16 article-title: The Maudsley 3-item Visual Analogue Scale (M3VAS): Validation of a scale measuring core symptoms of depression publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2020.12.185 – volume: 26 start-page: 141 year: 2016 ident: 10.1016/j.xpro.2025.103602_bib5 article-title: Active versus receptive group music therapy for major depressive disorder—A pilot study publication-title: Complement. Ther. Med. doi: 10.1016/j.ctim.2016.03.015 – volume: 38 start-page: 134 year: 2021 ident: 10.1016/j.xpro.2025.103602_bib6 article-title: A randomized controlled trial of gaze-contingent music reward therapy for major depressive disorder publication-title: Depress. Anxiety doi: 10.1002/da.23089 – volume: 151 start-page: 382 year: 2022 ident: 10.1016/j.xpro.2025.103602_bib25 article-title: A systematic review of music interventions for the cognitive and behavioural symptoms of mild cognitive impairment (non-dementia) publication-title: J. Psychiatr. Res. doi: 10.1016/j.jpsychires.2022.04.028 – volume: 110 start-page: 245 year: 2019 ident: 10.1016/j.xpro.2025.103602_bib23 article-title: Does cross-frequency phase coupling of oscillatory brain activity contribute to a better understanding of visual working memory? publication-title: Br. J. Psychol. doi: 10.1111/bjop.12340 – volume: 36 start-page: 295 year: 2013 ident: 10.1016/j.xpro.2025.103602_bib21 article-title: Mechanisms and Functions of Theta Rhythms publication-title: Annu. Rev. Neurosci. doi: 10.1146/annurev-neuro-062012-170330 – volume: 66 start-page: 1361 year: 2013 ident: 10.1016/j.xpro.2025.103602_bib24 article-title: Phase resetting reduces theta–gamma rhythmic interaction to a one-dimensional map publication-title: J. Math. Biol. doi: 10.1007/s00285-012-0534-9 – volume: 2017 start-page: CD004517 year: 2017 ident: 10.1016/j.xpro.2025.103602_bib7 article-title: Music therapy for depression publication-title: Cochrane Database Syst. Rev. – volume: 2011 year: 2011 ident: 10.1016/j.xpro.2025.103602_bib13 article-title: FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data publication-title: Comput. Intell. Neurosci. doi: 10.1155/2011/156869 – volume: 152 start-page: 660 year: 1988 ident: 10.1016/j.xpro.2025.103602_bib15 article-title: Validity and reliability of the Chinese Hamilton Depression Rating Scale publication-title: Br. J. Psychiatry doi: 10.1192/bjp.152.5.660 – volume: 35 start-page: 203 year: 2012 ident: 10.1016/j.xpro.2025.103602_bib20 article-title: Mechanisms of Gamma Oscillations publication-title: Annu. Rev. Neurosci. doi: 10.1146/annurev-neuro-062111-150444 – volume: 5 start-page: CD003477 year: 2017 ident: 10.1016/j.xpro.2025.103602_bib9 article-title: Music-based therapeutic interventions for people with dementia publication-title: Cochrane Database Syst. Rev. – volume: 179 start-page: 106049 year: 2023 ident: 10.1016/j.xpro.2025.103602_bib11 article-title: Non-invasive sensory neuromodulation in epilepsy: Updates and future perspectives publication-title: Neurobiol. Dis. doi: 10.1016/j.nbd.2023.106049 – volume: 18 start-page: 484 year: 2015 ident: 10.1016/j.xpro.2025.103602_bib19 article-title: What does gamma coherence tell us about inter-regional neural communication? publication-title: Nat. Neurosci. doi: 10.1038/nn.3952 |
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SubjectTerms | behavior cognitive neuroscience Depression - physiopathology Depression - therapy Electroencephalography - methods Humans Music Therapy - methods neuroscience Protocol Signal Processing, Computer-Assisted |
Title | Protocol to study the neural mechanism of music therapy in alleviating depression using EEG-LFP signal recording |
URI | https://dx.doi.org/10.1016/j.xpro.2025.103602 https://www.ncbi.nlm.nih.gov/pubmed/39985773 https://www.proquest.com/docview/3169795142 https://pubmed.ncbi.nlm.nih.gov/PMC11889973 https://doaj.org/article/48ebff7bab9f481d9fc396b8ad92d427 |
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