@article{kasdan_identifying_2022,
	title = {Identifying a brain network for musical rhythm: {A} functional neuroimaging meta-analysis and systematic review},
	volume = {136},
	issn = {01497634},
	shorttitle = {Identifying a brain network for musical rhythm},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S014976342200077X},
	doi = {10/grrsk5},
	abstract = {We conducted a systematic review and meta-analysis of 30 functional magnetic resonance imaging studies investigating processing of musical rhythms in neurotypical adults. First, we identified a general network for musical rhythm, encompassing all relevant sensory and motor processes (Beat-based, rest baseline, 12 contrasts) which revealed a large network involving auditory and motor regions. This network included the bilateral su­ perior temporal cortices, supplementary motor area (SMA), putamen, and cerebellum. Second, we identified more precise loci for beat-based musical rhythms (Beat-based, audio-motor control, 8 contrasts) in the bilateral putamen. Third, we identified regions modulated by beat based rhythmic complexity (Complexity, 16 contrasts) which included the bilateral SMA-proper/pre-SMA, cerebellum, inferior parietal regions, and right temporal areas. This meta-analysis suggests that musical rhythm is largely represented in a bilateral cortico-subcortical network. Our findings align with existing theoretical frameworks about auditory-motor coupling to a musical beat and provide a foundation for studying how the neural bases of musical rhythm may overlap with other cognitive domains.},
	language = {en},
	urldate = {2023-01-03},
	journal = {Neuroscience \& Biobehavioral Reviews},
	author = {Kasdan, Anna V. and Burgess, Andrea N. and Pizzagalli, Fabrizio and Scartozzi, Alyssa and Chern, Alexander and Kotz, Sonja A. and Wilson, Stephen M. and Gordon, Reyna L.},
	month = may,
	year = {2022},
	pages = {104588},
}

{"_id":"2YbsbpzCrsDfHwKN8","bibbaseid":"kasdan-burgess-pizzagalli-scartozzi-chern-kotz-wilson-gordon-identifyingabrainnetworkformusicalrhythmafunctionalneuroimagingmetaanalysisandsystematicreview-2022","author_short":["Kasdan, A. V.","Burgess, A. N.","Pizzagalli, F.","Scartozzi, A.","Chern, A.","Kotz, S. A.","Wilson, S. M.","Gordon, R. L."],"bibdata":{"bibtype":"article","type":"article","title":"Identifying a brain network for musical rhythm: A functional neuroimaging meta-analysis and systematic review","volume":"136","issn":"01497634","shorttitle":"Identifying a brain network for musical rhythm","url":"https://linkinghub.elsevier.com/retrieve/pii/S014976342200077X","doi":"10/grrsk5","abstract":"We conducted a systematic review and meta-analysis of 30 functional magnetic resonance imaging studies investigating processing of musical rhythms in neurotypical adults. First, we identified a general network for musical rhythm, encompassing all relevant sensory and motor processes (Beat-based, rest baseline, 12 contrasts) which revealed a large network involving auditory and motor regions. This network included the bilateral su­ perior temporal cortices, supplementary motor area (SMA), putamen, and cerebellum. Second, we identified more precise loci for beat-based musical rhythms (Beat-based, audio-motor control, 8 contrasts) in the bilateral putamen. Third, we identified regions modulated by beat based rhythmic complexity (Complexity, 16 contrasts) which included the bilateral SMA-proper/pre-SMA, cerebellum, inferior parietal regions, and right temporal areas. This meta-analysis suggests that musical rhythm is largely represented in a bilateral cortico-subcortical network. Our findings align with existing theoretical frameworks about auditory-motor coupling to a musical beat and provide a foundation for studying how the neural bases of musical rhythm may overlap with other cognitive domains.","language":"en","urldate":"2023-01-03","journal":"Neuroscience & Biobehavioral Reviews","author":[{"propositions":[],"lastnames":["Kasdan"],"firstnames":["Anna","V."],"suffixes":[]},{"propositions":[],"lastnames":["Burgess"],"firstnames":["Andrea","N."],"suffixes":[]},{"propositions":[],"lastnames":["Pizzagalli"],"firstnames":["Fabrizio"],"suffixes":[]},{"propositions":[],"lastnames":["Scartozzi"],"firstnames":["Alyssa"],"suffixes":[]},{"propositions":[],"lastnames":["Chern"],"firstnames":["Alexander"],"suffixes":[]},{"propositions":[],"lastnames":["Kotz"],"firstnames":["Sonja","A."],"suffixes":[]},{"propositions":[],"lastnames":["Wilson"],"firstnames":["Stephen","M."],"suffixes":[]},{"propositions":[],"lastnames":["Gordon"],"firstnames":["Reyna","L."],"suffixes":[]}],"month":"May","year":"2022","pages":"104588","bibtex":"@article{kasdan_identifying_2022,\n\ttitle = {Identifying a brain network for musical rhythm: {A} functional neuroimaging meta-analysis and systematic review},\n\tvolume = {136},\n\tissn = {01497634},\n\tshorttitle = {Identifying a brain network for musical rhythm},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S014976342200077X},\n\tdoi = {10/grrsk5},\n\tabstract = {We conducted a systematic review and meta-analysis of 30 functional magnetic resonance imaging studies investigating processing of musical rhythms in neurotypical adults. First, we identified a general network for musical rhythm, encompassing all relevant sensory and motor processes (Beat-based, rest baseline, 12 contrasts) which revealed a large network involving auditory and motor regions. This network included the bilateral su­ perior temporal cortices, supplementary motor area (SMA), putamen, and cerebellum. Second, we identified more precise loci for beat-based musical rhythms (Beat-based, audio-motor control, 8 contrasts) in the bilateral putamen. Third, we identified regions modulated by beat based rhythmic complexity (Complexity, 16 contrasts) which included the bilateral SMA-proper/pre-SMA, cerebellum, inferior parietal regions, and right temporal areas. This meta-analysis suggests that musical rhythm is largely represented in a bilateral cortico-subcortical network. Our findings align with existing theoretical frameworks about auditory-motor coupling to a musical beat and provide a foundation for studying how the neural bases of musical rhythm may overlap with other cognitive domains.},\n\tlanguage = {en},\n\turldate = {2023-01-03},\n\tjournal = {Neuroscience \\& Biobehavioral Reviews},\n\tauthor = {Kasdan, Anna V. and Burgess, Andrea N. and Pizzagalli, Fabrizio and Scartozzi, Alyssa and Chern, Alexander and Kotz, Sonja A. and Wilson, Stephen M. and Gordon, Reyna L.},\n\tmonth = may,\n\tyear = {2022},\n\tpages = {104588},\n}\n\n","author_short":["Kasdan, A. V.","Burgess, A. N.","Pizzagalli, F.","Scartozzi, A.","Chern, A.","Kotz, S. A.","Wilson, S. M.","Gordon, R. L."],"key":"kasdan_identifying_2022","id":"kasdan_identifying_2022","bibbaseid":"kasdan-burgess-pizzagalli-scartozzi-chern-kotz-wilson-gordon-identifyingabrainnetworkformusicalrhythmafunctionalneuroimagingmetaanalysisandsystematicreview-2022","role":"author","urls":{"Paper":"https://linkinghub.elsevier.com/retrieve/pii/S014976342200077X"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/marsicanus","dataSources":["MDN92uztrK9rBiHJj"],"keywords":[],"search_terms":["identifying","brain","network","musical","rhythm","functional","neuroimaging","meta","analysis","systematic","review","kasdan","burgess","pizzagalli","scartozzi","chern","kotz","wilson","gordon"],"title":"Identifying a brain network for musical rhythm: A functional neuroimaging meta-analysis and systematic review","year":2022}