{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T05:13:46Z","timestamp":1783660426585,"version":"3.55.0"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T00:00:00Z","timestamp":1783641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Drop jump (DJ) tasks are widely used to assess lower-limb neuromuscular function and injury risk. Fatigue is a key factor elevating injury risk, yet its effects on neuromuscular control during single-leg drop jumps (SLDJ) and double-leg drop jumps (DLDJ), and whether these effects differ by task type, remain poorly understood.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Fifteen female athletes performed SLDJ and DLDJ before and after a standardized fatigue protocol. Surface electromyography signals from nine lower-limb muscles were collected. Muscle synergies were extracted via non-negative matrix factorization, and synergy similarity was assessed using scalar product and Pearson correlation coefficients. Linear mixed-effects models examined differences in muscle contributions and temporal activation features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Three muscle synergy modules were consistently identified across both tasks and fatigue conditions, with high inter-module similarity (scalar product and Pearson r &amp;gt; 0.80). Synergy structure remained stable regardless of task or fatigue, while task type and fatigue selectively modulated specific muscle contributions. Notably, vastus lateralis contribution showed opposing fatigue-related trends between tasks, and lateral gastrocnemius contribution decreased significantly after fatigue in SLDJ only.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The central nervous system maintains a stable modular control strategy across DJ tasks and fatigue conditions. Adaptations to fatigue manifest primarily through task-specific modulation of intra-module muscle weights rather than restructuring of synergy organization. SLDJ demonstrated greater neuromuscular sensitivity to fatigue than DLDJ, indicating that single-leg landing tasks may be more susceptible to fatigue-induced alterations in neuromuscular control. These findings inform neuromuscular screening and targeted training strategies for female athletes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fphys.2026.1897091","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T04:24:24Z","timestamp":1783657464000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Task specific effects of fatigue on lower limb muscle synergies during single and double leg drop jumps in female athletes"],"prefix":"10.3389","volume":"17","author":[{"given":"Jiawei","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Sports Medicine, Wuhan Sports University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junfeng","family":"Teng","sequence":"additional","affiliation":[{"name":"School of Sports Medicine, Wuhan Sports University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunpeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Sports Medicine, Wuhan Sports University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xikai","family":"Lin","sequence":"additional","affiliation":[{"name":"Pain management and Tuina Department, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang)","place":["Shenzhen, Longgang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,7,10]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"787","DOI":"10.4085\/1062-6050-501-17","article-title":"Anterior cruciate ligament injury risk by season period and competition segment: An analysis of national collegiate athletic association injury surveillance data","volume":"54","author":"Anderson","year":"2019","journal-title":"J. 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