{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T16:59:23Z","timestamp":1785257963038,"version":"3.55.0"},"reference-count":167,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"14","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,7,21]]},"abstract":"\n Background<\/jats:title>\n Covert stroke is understudied despite occurring 10 times for every symptomatic stroke and contributing to stroke's enormous global disease burden. For instance, does covert stroke replicate the neuroelectrophysiological spectrum impact of symptomatic stroke? We explored this by using our novel electrolytic lesioning platform to induce covert neuron loss.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n During a multimonth arm reaching task, electrolytic lesions were delivered to the motor cortex of 2 large animals (U:\n \n \n \n n<\/mml:mi>\n =<\/mml:mo>\n 4<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ; H:\n \n \n \n n<\/mml:mi>\n =<\/mml:mo>\n 7<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ). Effects on behavioral metrics and local field potential features (bandpowers, aperiodic\/periodic parameters, time\u2010frequency tensors) were measured using state space modeling and nonparametric permutation tests.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Task success was unaffected by lesions, but shifts in aperiodic structure reduced next\u2010day\n \n \n \n \u03b3<\/mml:mi>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n bandpower (30\u2013100 Hz; U:\n \n \n \n \u2212<\/mml:mo>\n 1.38<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n \u03bcV\n 2<\/jats:sup>\n ,\n \n \n \n P<\/mml:mi>\n <<\/mml:mo>\n 1<\/mml:mn>\n \u00d7<\/mml:mo>\n \n 10<\/mml:mn>\n \n \u2212<\/mml:mo>\n 3<\/mml:mn>\n <\/mml:mrow>\n <\/mml:msup>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ; H:\n \n \n \n \u2212<\/mml:mo>\n 1.66<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n \u03bcV\n 2<\/jats:sup>\n ,\n \n \n \n P<\/mml:mi>\n =<\/mml:mo>\n 0.001<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ) and sensorimotor rhythms spanning 8 to 45 Hz (\n \n \n \n \u2211<\/mml:mo>\n S<\/mml:mi>\n M<\/mml:mi>\n R<\/mml:mi>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ) were amplified (U:\n \n \n \n 8.68<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n \u03bcV\n 2<\/jats:sup>\n ,\n \n \n \n P<\/mml:mi>\n <<\/mml:mo>\n 1<\/mml:mn>\n \u00d7<\/mml:mo>\n \n 10<\/mml:mn>\n \n \u2212<\/mml:mo>\n 3<\/mml:mn>\n <\/mml:mrow>\n <\/mml:msup>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ; H:\n \n \n \n 2.40<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n \u03bcV\n 2<\/jats:sup>\n ,\n \n \n \n P<\/mml:mi>\n =<\/mml:mo>\n 0.004<\/mml:mn>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n ). Additionally, state space modeling showed that perturbations to\n \n \n \n \u03b3<\/mml:mi>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n and\n \n \n \n \u2211<\/mml:mo>\n S<\/mml:mi>\n M<\/mml:mi>\n R<\/mml:mi>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n outlasted any behavioral impact (Monkey U: Behavior = 1 d,\n \n \n \n \u03b3<\/mml:mi>\n =<\/mml:mo>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n 2 d,\n \n \n \n \u2211<\/mml:mo>\n SMR<\/mml:mtext>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n =\u00a02 d; Monkey H: Behavior = 0 d,\n \n \n \n \u03b3<\/mml:mi>\n =<\/mml:mo>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n 3 d,\n \n \n \n \u2211<\/mml:mo>\n SMR<\/mml:mi>\n <\/mml:mrow>\n <\/mml:semantics>\n <\/mml:math>\n = 1 d). Finally, tensor decomposition revealed interpretable, personalized perturbations to time\u2010frequency dynamics.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n The neural spectrum is more sensitive to neuron loss than previously understood and could be responsive to covert stroke. This work also motivates using electrolytic lesions to bridge covert and symptomatic regimes of neuron loss, advancing our causal understanding of poststroke spectrum and behavior.<\/jats:p>\n <\/jats:sec>","DOI":"10.1161\/jaha.125.047091","type":"journal-article","created":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T10:58:09Z","timestamp":1784285889000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Signatures of Covert Neuron Loss in the Local Field Potential of Motor Cortex"],"prefix":"10.1161","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2557-6017","authenticated-orcid":false,"given":"Kenji","family":"Marshall","sequence":"first","affiliation":[{"name":"Stanford University","place":["Stanford, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3871-0185","authenticated-orcid":false,"given":"Stephen E.","family":"Clarke","sequence":"additional","affiliation":[{"name":"Stanford University","place":["Stanford, USA"]},{"name":"Stanford University","place":["Stanford, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3029-8309","authenticated-orcid":false,"given":"Iliana E.","family":"Bray","sequence":"additional","affiliation":[{"name":"Stanford University","place":["Stanford, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4607-7447","authenticated-orcid":false,"given":"Stephen I.","family":"Ryu","sequence":"additional","affiliation":[{"name":"Stanford University","place":["Stanford, USA"]},{"name":"Stanford University","place":["Stanford, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7778-5473","authenticated-orcid":false,"given":"Paul","family":"Nuyujukian","sequence":"additional","affiliation":[{"name":"Stanford University","place":["Stanford, USA"]},{"name":"Stanford University","place":["Stanford, USA"]},{"name":"Stanford University","place":["Stanford, USA"]},{"name":"Stanford University","place":["Stanford, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle S","family":"Wechsler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mackenzie","family":"Risch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Paraskevopoulou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alissa S","family":"Ling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elizabeth J","family":"Jun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael P","family":"Silvernagel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Yamada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alice","family":"Tor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad U","family":"Abdulla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sydney","family":"Hunt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(81)90032-8"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(83)90066-4"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.0000122622.73916.d2"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-006-0355-0"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2009.01.021"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2009.11.084"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/34\/4\/423"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0061146"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2017.00187"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2019.01.007"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1177\/1545968310378511"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2012.05.017"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00345.2014"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainres.2015.09.037"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1093\/braincomms\/fcaa161"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24876"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0058-y"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/ana.25615"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.expneurol.2021.113696"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-025-66784-8"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3177254"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1482-23.2024"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.122.039335"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.272.5269.1791"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0622-08.2008"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4249-08.2009"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroscience.2009.09.074"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.aag1328"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-24211-8"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26405-6"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1425-23.2023"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-49963-0_27"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1161\/str.0b013e318296aeca"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.12454"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1161\/str.0000000000000116"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1159\/000071128"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-014-0119-0"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.120.030686"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa022066"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1212\/01.WNL.0000165985.97397.88"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.25.4.798"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.57.7.1222"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1161\/jaha.116.004069"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2018.3122"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13311-012-0115-z"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00230980"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1093\/ilar.44.2.161"},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","unstructured":"Baines A Poll A Baker AM Krakauer JW Baker SN. Kinematic dissection of arm paresis after focal new M1 Old M1 and red nucleus lesions in non\u2010human primates. Accessed August 08 2025. [Online]. 10.1080\/01459740.2026.2657567.","DOI":"10.1080\/01459740.2026.2657567"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.30.12.2752"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.108.541128"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.118.023927"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3174-17.2018"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.84385"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.1101\/2025.03.26.645429"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-020-00744-x"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/zsy132"},{"key":"e_1_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2022.02.022"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","unstructured":"Dasgupta S Nuyujukian P. An open framework for archival reproducible and transparent science. arXiv. 10.1007\/s11030-026-11591-6.","DOI":"10.1007\/s11030-026-11591-6"},{"key":"e_1_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00221-024-06949-x"},{"key":"e_1_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001487000205"},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","DOI":"10.21105\/joss.01237"},{"key":"e_1_3_2_63_2","doi-asserted-by":"publisher","unstructured":"M\u00f8rup M Hansen LK Parnas J Arnfred S. Decomposing the time\u2010frequency representation of EEG using non\u2010negative matrix and multi\u2010way factorization. 2006. 10.1111\/andr.70207.","DOI":"10.1111\/andr.70207"},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.21105\/joss.07069"},{"key":"e_1_3_2_65_2","first-page":"205","volume-title":"Data analysis by resampling: concepts and applications","author":"Lunneborg CE","year":"2000","unstructured":"Lunneborg CE. Randomized treatment assignment. Data analysis by resampling: concepts and applications. Australia; Pacific Grove, CA: Duxbury; 2000:205\u2013213."},{"key":"e_1_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.1058"},{"key":"e_1_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","unstructured":"Harshman R. Foundations of the PARAFAC procedure: models and conditions for an \u201cexplanatory\u201d multi\u2010model factor analysis. 1970. 10.1097\/NND.0000000000001217.","DOI":"10.1097\/NND.0000000000001217"},{"key":"e_1_3_2_69_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02310791"},{"key":"e_1_3_2_70_2","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"e_1_3_2_71_2","first-page":"1","article-title":"TensorLy: tensor learning in Python","volume":"20","author":"Kossaifi J","year":"2019","unstructured":"Kossaifi J, Panagakis Y, Anandkumar A, Pantic M. TensorLy: tensor learning in Python. J Mach Learn Res. 2019;20:1\u20136. Accessed December 18, 2024. [Online]. http:\/\/jmlr.org\/papers\/v20\/18\u2010277.html","journal-title":"J Mach Learn Res"},{"key":"e_1_3_2_72_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.01143.2002"},{"key":"e_1_3_2_73_2","doi-asserted-by":"publisher","DOI":"10.1038\/srep37823"},{"key":"e_1_3_2_74_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-43081-w"},{"key":"e_1_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2021.109283"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.3791\/51238"},{"key":"e_1_3_2_77_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-9457(94)90016-7"},{"key":"e_1_3_2_78_2","doi-asserted-by":"publisher","DOI":"10.1111\/sms.12281"},{"key":"e_1_3_2_79_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2010.04.030"},{"key":"e_1_3_2_80_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.25.10.1968"},{"key":"e_1_3_2_81_2","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2990.2001.00357.x"},{"key":"e_1_3_2_82_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.0000144649.49861.1d"},{"key":"e_1_3_2_83_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2017.00385"},{"key":"e_1_3_2_84_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2014.04.003"},{"key":"e_1_3_2_85_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01062488"},{"key":"e_1_3_2_86_2","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhr299"},{"key":"e_1_3_2_87_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.expneurol.2012.09.014"},{"key":"e_1_3_2_88_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1066-18.2018"},{"key":"e_1_3_2_89_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1107027"},{"key":"e_1_3_2_90_2","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.24573"},{"key":"e_1_3_2_91_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1887-19.2019"},{"key":"e_1_3_2_92_2","volume-title":"Probabilistic machine learning: advanced topics","author":"Murphy KP","year":"2023","unstructured":"Murphy KP. Probabilistic machine learning: advanced topics. MIT Press; 2023. http:\/\/probml.github.io\/book2"},{"key":"e_1_3_2_93_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.90.10.4470"},{"key":"e_1_3_2_94_2","doi-asserted-by":"publisher","DOI":"10.1016\/0006-8993(95)01109-9"},{"key":"e_1_3_2_95_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1998.79.1.159"},{"key":"e_1_3_2_96_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3886-06.2007"},{"key":"e_1_3_2_97_2","doi-asserted-by":"publisher","DOI":"10.1016\/s1388-2457(99)00141-8"},{"key":"e_1_3_2_98_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.89.12.5670"},{"key":"e_1_3_2_99_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00607.2010"},{"key":"e_1_3_2_100_2","doi-asserted-by":"publisher","DOI":"10.1038\/nn.3776"},{"key":"e_1_3_2_101_2","doi-asserted-by":"publisher","DOI":"10.1109\/10.2119"},{"key":"e_1_3_2_102_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.03.039"},{"key":"e_1_3_2_103_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2018.05.015"},{"key":"e_1_3_2_104_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-024-01626-2"},{"key":"e_1_3_2_105_2","doi-asserted-by":"publisher","DOI":"10.3389\/fams.2020.00041"},{"key":"e_1_3_2_106_2","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/642387"},{"key":"e_1_3_2_107_2","first-page":"2483","volume-title":"Proceedings of the 28th international conference on neural information processing systems \u2010 Volume 2, in NIPS'14","author":"Ulrich K","year":"2014","unstructured":"Ulrich K, Carlson DE, Lian W, Borg JS, Dzirasa K, Carin L. Analysis of brain states from multi\u2010region LFP time\u2010series. Proceedings of the 28th international conference on neural information processing systems \u2010 Volume 2, in NIPS'14. Vol 2. Cambridge, MA, USA: MIT Press; 2014:2483\u20132491."},{"key":"e_1_3_2_108_2","doi-asserted-by":"publisher","DOI":"10.1016\/0024-3795(77)90069-6"},{"key":"e_1_3_2_109_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-022-09581-8"},{"key":"e_1_3_2_110_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.111.643379"},{"key":"e_1_3_2_111_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0219635211002737"},{"key":"e_1_3_2_112_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2021.01.023"},{"key":"e_1_3_2_113_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.20-22-08462.2000"},{"key":"e_1_3_2_114_2","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2002.029553"},{"key":"e_1_3_2_115_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.02.008"},{"key":"e_1_3_2_116_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.06.078"},{"key":"e_1_3_2_117_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature09511"},{"key":"e_1_3_2_118_2","doi-asserted-by":"publisher","DOI":"10.1038\/jcbfm.2015.86"},{"key":"e_1_3_2_119_2","doi-asserted-by":"publisher","DOI":"10.1177\/1545968313520411"},{"key":"e_1_3_2_120_2","doi-asserted-by":"publisher","DOI":"10.1177\/0271678X17750761"},{"key":"e_1_3_2_121_2","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awv360"},{"key":"e_1_3_2_122_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrn3241"},{"key":"e_1_3_2_123_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.23.10.1463"},{"key":"e_1_3_2_124_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0900728106"},{"key":"e_1_3_2_125_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00458.2024"},{"key":"e_1_3_2_126_2","doi-asserted-by":"publisher","DOI":"10.1002\/glia.24178"},{"key":"e_1_3_2_127_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2010.36"},{"key":"e_1_3_2_128_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0197-4580(02)00129-X"},{"key":"e_1_3_2_129_2","doi-asserted-by":"publisher","DOI":"10.1002\/ana.21810"},{"key":"e_1_3_2_130_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-8993(01)03270-X"},{"key":"e_1_3_2_131_2","doi-asserted-by":"publisher","DOI":"10.1111\/acel.12605"},{"key":"e_1_3_2_132_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2332-14.2015"},{"key":"e_1_3_2_133_2","doi-asserted-by":"publisher","DOI":"10.1038\/jcbfm.1981.6"},{"key":"e_1_3_2_134_2","doi-asserted-by":"publisher","DOI":"10.1002\/ana.410170513"},{"key":"e_1_3_2_135_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5443-09.2010"},{"key":"e_1_3_2_136_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-024-02318-2"},{"key":"e_1_3_2_137_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18441-5"},{"key":"e_1_3_2_138_2","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abj7045"},{"key":"e_1_3_2_139_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-025-02026-w"},{"key":"e_1_3_2_140_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-021-00889-3"},{"key":"e_1_3_2_141_2","doi-asserted-by":"publisher","DOI":"10.1161\/hypertensionaha.114.03563"},{"key":"e_1_3_2_142_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.hyp.9.6_pt_2.iii57"},{"key":"e_1_3_2_143_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1996.75.5.2144"},{"key":"e_1_3_2_144_2","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aba1933"},{"key":"e_1_3_2_145_2","doi-asserted-by":"publisher","DOI":"10.1002\/gps.1550"},{"key":"e_1_3_2_146_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1860-12.2012"},{"key":"e_1_3_2_147_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-neuro-092619-094115"},{"key":"e_1_3_2_148_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2021.109370"},{"key":"e_1_3_2_149_2","doi-asserted-by":"publisher","DOI":"10.1145\/3211332.3211344"},{"key":"e_1_3_2_150_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-0772-5"},{"key":"e_1_3_2_151_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2005.02.009"},{"key":"e_1_3_2_152_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-7216-0334-6.50173-4"},{"key":"e_1_3_2_153_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bioelechem.2021.107871"},{"key":"e_1_3_2_154_2","doi-asserted-by":"publisher","DOI":"10.1101\/2024.11.22.624895"},{"key":"e_1_3_2_155_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1974.1100705"},{"key":"e_1_3_2_156_2","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_157_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.01.012"},{"key":"e_1_3_2_158_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-2236(96)10065-5"},{"key":"e_1_3_2_159_2","doi-asserted-by":"publisher","DOI":"10.1002\/1099-128X(200005\/06)14:3<229::AID-CEM587>3.0.CO;2-N"},{"key":"e_1_3_2_160_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2004.11.013"},{"key":"e_1_3_2_161_2","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479801394465"},{"key":"e_1_3_2_162_2","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1244"},{"key":"e_1_3_2_163_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2532906"},{"key":"e_1_3_2_164_2","unstructured":"Babuschkin I Baumli K Bell A Bhupatiraju S Bruce J Buchlovsky P Budden D Cai T Clark A Danihelka I et\u00a0al. The DeepMind JAX Ecosystem. 2020. http:\/\/github.com\/google\u2010deepmind."},{"key":"e_1_3_2_165_2","first-page":"257","volume-title":"Data analysis by resampling: concepts and applications","year":"2000","unstructured":"Random treatment sequences. Data analysis by resampling: concepts and applications. Australia; Pacific Grove, CA: Duxbury; 2000:257\u2013269."},{"key":"e_1_3_2_166_2","unstructured":"Lunneborg CE. Random assignment of available cases: let the inferences fit the design. 2000."},{"key":"e_1_3_2_167_2","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1963.10500843"},{"key":"e_1_3_2_168_2","doi-asserted-by":"crossref","unstructured":"Seabold S Perktold J. Statsmodels: econometric and statistical modeling with Python. 2010 scipy. Accessed December 17 2024. [Online]. https:\/\/proceedings.scipy.org\/articles\/Majora\u201092bf1922\u2010011.","DOI":"10.25080\/Majora-92bf1922-011"}],"container-title":["Journal of the American Heart Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/JAHA.125.047091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T16:09:09Z","timestamp":1785254949000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/JAHA.125.047091"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,21]]},"references-count":167,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2026,7,21]]}},"alternative-id":["10.1161\/JAHA.125.047091"],"URL":"https:\/\/doi.org\/10.1161\/jaha.125.047091","relation":{},"ISSN":["2047-9980"],"issn-type":[{"value":"2047-9980","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,21]]},"assertion":[{"value":"2025-10-07","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-02-10","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e047091"}}