{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T10:48:29Z","timestamp":1785322109353,"version":"3.55.0"},"reference-count":71,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011566","name":"Marga und Walter Boll-Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011566","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["431549029 \\u2013 SFB 1451"],"award-info":[{"award-number":["431549029 \\u2013 SFB 1451"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurobiology of Aging"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1016\/j.neurobiolaging.2025.09.007","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T21:21:49Z","timestamp":1758576109000},"page":"36-47","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Apraxic deficits in Alzheimer\u2019s disease are associated with altered dynamic connectivity in praxis-related networks"],"prefix":"10.1016","volume":"157","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2146-2442","authenticated-orcid":false,"given":"Taylan D.","family":"Kuzu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elena","family":"Brinkmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna K.","family":"Bonkhoff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Veronika","family":"Wunderle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00e9rard N.","family":"Bischof","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathrin","family":"Giehl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian H.T.","family":"Schmieschek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oezguer A.","family":"Onur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank","family":"Jessen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gereon R.","family":"Fink","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Drzezga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter H.","family":"Weiss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib1","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A new look at the statistical model identification","volume":"19","author":"Akaike","year":"1974","journal-title":"IEEE Trans. Autom. Control"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib2","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1093\/cercor\/bhs352","article-title":"Tracking Whole-Brain connectivity dynamics in the resting state","volume":"24","author":"Allen","year":"2014","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib3","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Ser. B Method."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib4","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.bandl.2012.07.007","article-title":"Two action systems in the human brain","volume":"127","author":"Binkofski","year":"2013","journal-title":"Brain Lang."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib5","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.0000000000210062","article-title":"Cortical tau aggregation patterns associated with apraxia in patients with alzheimer disease","volume":"103","author":"Bischof","year":"2024","journal-title":"Neurology"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib6","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1093\/brain\/awaa101","article-title":"Acute ischaemic stroke alters the brain\u2019s preference for distinct dynamic connectivity states","volume":"143","author":"Bonkhoff","year":"2020","journal-title":"Brain J. Neurol."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib7","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1002\/hbm.25366","article-title":"Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke","volume":"42","author":"Bonkhoff","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib8","doi-asserted-by":"crossref","DOI":"10.1093\/braincomms\/fcab227","article-title":"Dynamic connectivity predicts acute motor impairment and recovery post-stroke","volume":"3","author":"Bonkhoff","year":"2021","journal-title":"Brain Commun."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib9","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/0278-2626(89)90079-1","article-title":"The relationship between limb apraxia and the spontaneous use of communicative gesture in aphasia","volume":"10","author":"Borod","year":"1989","journal-title":"Brain Cogn."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib10","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","article-title":"The chronnectome: Time-Varying connectivity networks as the next frontier in fMRI data discovery","volume":"84","author":"Calhoun","year":"2014","journal-title":"Neuron"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib11","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.neuroimage.2009.12.011","article-title":"Time\u2013frequency dynamics of resting-state brain connectivity measured with fMRI","volume":"50","author":"Chang","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib12","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.cortex.2017.03.012","article-title":"Definition: apraxia","volume":"93","author":"Cubelli","year":"2017","journal-title":"Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib13","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.nicl.2014.07.003","article-title":"Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia","volume":"5","author":"Damaraju","year":"2014","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib14","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1007\/s00415-011-6336-y","article-title":"Diagnosis and treatment of upper limb apraxia","volume":"259","author":"Dovern","year":"2012","journal-title":"J. Neurol."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib15","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.neuroimage.2012.11.008","article-title":"Group information guided ICA for fMRI data analysis","volume":"69","author":"Du","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib16","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1002\/hbm.23086","article-title":"Artifact removal in the context of group ICA: a comparison of single-subject and group approaches","volume":"37","author":"Du","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib17","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1038\/s41592-018-0235-4","article-title":"fMRIPrep: a robust preprocessing pipeline for functional MRI","volume":"16","author":"Esteban","year":"2019","journal-title":"Nat. Methods"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib18","doi-asserted-by":"crossref","DOI":"10.1093\/braincomms\/fcad282","article-title":"Subthalamic nucleus shows opposite functional connectivity pattern in Huntington\u2019s and Parkinson\u2019s disease","volume":"5","author":"Evangelisti","year":"2023","journal-title":"Brain Commun."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib19","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1080\/02687038808248884","article-title":"Gestures and speech in referential communication by aphasic subjects: channel use and efficiency","volume":"2","author":"Feyereisen","year":"1988","journal-title":"Aphasiology"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib20","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0022-3956(75)90026-6","article-title":"\u201cMini-mental state\u201d: a practical method for grading the cognitive state of patients for the clinician","volume":"12","author":"Folstein","year":"1975","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib21","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.neuroimage.2018.06.003","article-title":"Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism","volume":"190","author":"Fu","year":"2019","journal-title":"NeuroImage"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib22","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1080\/713755559","article-title":"Therapy of activities of daily living in patients with apraxia","volume":"8","author":"Goldenberg","year":"1998","journal-title":"Neuropsychol. Rehabil."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib23","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.1073\/pnas.0308627101","article-title":"Default-mode network activity distinguishes Alzheimer\u2019s disease from healthy aging: evidence from functional MRI","volume":"101","author":"Greicius","year":"2004","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib24","doi-asserted-by":"crossref","first-page":"5792","DOI":"10.1002\/alz.13899","article-title":"Alzheimer\u2019s disease biomarker burden in primary motor cortices is associated with poorer dexterity performance","volume":"20","author":"Gupta","year":"2024","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib25","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1212\/WNL.60.3.487","article-title":"Ecological implications of ideomotor apraxia: evidence from physical activities of daily living","volume":"60","author":"Hanna\u2013Pladdy","year":"2003","journal-title":"Neurology"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib26","doi-asserted-by":"crossref","first-page":"9050","DOI":"10.1523\/JNEUROSCI.4648-14.2015","article-title":"Cognitive flexibility through metastable neural dynamics is disrupted by damage to the structural connectome","volume":"35","author":"Hellyer","year":"2015","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib27","doi-asserted-by":"crossref","first-page":"2796","DOI":"10.1093\/brain\/awu203","article-title":"Neural bases of imitation and pantomime in acute stroke patients: distinct streams for praxis","volume":"137","author":"Hoeren","year":"2014","journal-title":"Brain"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib28","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.0000000000208053","article-title":"Association between years of education and amyloid burden in patients with subjective cognitive decline, MCI, and alzheimer disease","volume":"102","author":"H\u00f6nig","year":"2024","journal-title":"Neurology"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib29","doi-asserted-by":"crossref","unstructured":"Iraji, A., Fu, Z., Faghiri, A., Duda, M., Chen, J., Rachakonda, S., DeRamus, T., Kochunov, P., Adhikari, B.M., Belger, A., Ford, J.M., Mathalon, D.H., Pearlson, G.D., Potkin, S.G., Preda, A., Turner, J.A., Erp, T.G.M. van, Bustillo, J.R., Yang, K., Ishizuka, K., Sawa, A., Hutchison, K., Osuch, E.A., Theberge, J., Abbott, C., Mueller, B.A., Zhi, D., Zhuo, C., Liu, S., Xu, Y., Salman, M., Liu, J., Du, Y., Sui, J., Adali, T., Calhoun, V.D., 2022. Canonical and Replicable Multi-Scale Intrinsic Connectivity Networks in 100k+ Resting-State fMRI Datasets. https:\/\/doi.org\/10.1101\/2022.09.03.506487.","DOI":"10.1101\/2022.09.03.506487"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib30","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.jalz.2018.02.018","article-title":"NIA-AA research framework: toward a biological definition of Alzheimer\u2019s disease","volume":"14","author":"Jack","year":"2018","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib31","first-page":"311","article-title":"An objective and standardized test of hand function","volume":"50","author":"Jebsen","year":"1969","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib32","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S1361-8415(01)00036-6","article-title":"A global optimisation method for robust affine registration of brain images","volume":"5","author":"Jenkinson","year":"2001","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib33","doi-asserted-by":"crossref","first-page":"3467","DOI":"10.1002\/hbm.26291","article-title":"Altered large-scale dynamic connectivity patterns in Alzheimer\u2019s disease and mild cognitive impairment patients: a machine learning study","volume":"44","author":"Jing","year":"2023","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib34","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1136\/jnnp-2014-308773","article-title":"Apraxia profile differentiates behavioural variant frontotemporal from Alzheimer\u2019s dementia in mild disease stages","volume":"86","author":"Johnen","year":"2015","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cortex.2016.08.009","article-title":"Shared neural correlates of limb apraxia in early stages of Alzheimer\u2019s dementia and behavioural variant frontotemporal dementia","volume":"84","author":"Johnen","year":"2016","journal-title":"Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib36","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0039731","article-title":"Non-stationarity in the \u201cresting brain\u2019s\u201d modular architecture","volume":"7","author":"Jones","year":"2012","journal-title":"PLoS ONE"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib37","first-page":"669","article-title":"Recovery from apraxic deficits and its neural correlate","volume":"36","author":"Kusch","year":"2018","journal-title":"Restor. Neurol. Neurosci."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib38","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1024\/1016-264X\/a000414","article-title":"Alters- und bildungsnormen f\u00fcr das K\u00f6lner neuropsychologische screening f\u00fcr schlaganfallpatienten (K\u00f6pSS)","volume":"36","author":"Latarnik","year":"2025","journal-title":"Z. F. \u00fcR. Neuropsychol."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib39","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/s11065-013-9235-4","article-title":"Apraxia and Alzheimer\u2019s disease: review and perspectives","volume":"23","author":"Lesourd","year":"2013","journal-title":"Neuropsychol. Rev."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib40","article-title":"High transition frequencies of dynamic functional connectivity states in the creative brain","volume":"7","author":"Li","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib41","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1002\/hbm.20919","article-title":"Semiblind spatial ICA of fMRI using spatial constraints","volume":"31","author":"Lin","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib42","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1162\/netn_a_00116","article-title":"Questions and controversies in the study of time-varying functional connectivity in resting fMRI","volume":"4","author":"Lurie","year":"2020","journal-title":"Netw. Neurosci. Camb. Mass"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib43","first-page":"483","article-title":"A performance test for assessment of upper limb function in physical rehabilitation treatment and research","volume":"4","author":"Lyle","year":"1981","journal-title":"Int. J. Rehabil. Res. Int. Z. Rehabil. Rev. Int. Rech. Readapt."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib44","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1089\/brain.2014.0248","article-title":"Dynamic connectivity at rest predicts attention task performance","volume":"5","author":"Madhyastha","year":"2015","journal-title":"Brain Connect"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib45","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1192\/bjp.134.4.382","article-title":"A new depression scale designed to be sensitive to change","volume":"134","author":"Montgomery","year":"1979","journal-title":"Br. J. Psychiatry"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib46","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/0028-3932(71)90067-4","article-title":"The assessment and analysis of handedness: the Edinburgh inventory","volume":"9","author":"Oldfield","year":"1971","journal-title":"Neuropsychologia"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib47","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.cortex.2017.03.010","article-title":"Definition: limb apraxia","volume":"93","author":"Osiurak","year":"2017","journal-title":"Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib48","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.neuroimage.2013.08.048","article-title":"Methods to detect, characterize, and remove motion artifact in resting state fMRI","volume":"84","author":"Power","year":"2014","journal-title":"NeuroImage"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib49","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.neuroimage.2016.12.061","article-title":"The dynamic functional connectome: State-of-the-art and perspectives","volume":"160","author":"Preti","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib50","unstructured":"Rachakonda, S., Egolf, E., Correa, N., Calhoun, V., 2007. Group ICA of fMRI toolbox (GIFT) manual."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib51","unstructured":"Ray, S., Turi, R.H. 1999. Determination of Number of Clusters in K-Means Clustering and Application in Colour Image Segmentation, in: Proceedings of the 4th International Conference on Advances in Pattern Recognition and Digital Techniques. Calcutta, India, pp. 137\u2013143.."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib52","doi-asserted-by":"crossref","first-page":"503","DOI":"10.2466\/pms.1988.66.2.503","article-title":"Purdue pegboard: Test-Retest estimates","volume":"66","author":"Reddon","year":"1988","journal-title":"Percept. Mot. Skills"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib53","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib54","doi-asserted-by":"crossref","first-page":"8463","DOI":"10.1073\/pnas.1420687112","article-title":"Ongoing dynamics in large-scale functional connectivity predict perception","volume":"112","author":"Sadaghiani","year":"2015","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib55","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/s10334-010-0197-8","article-title":"A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia","volume":"23","author":"Sako\u011flu","year":"2010","journal-title":"Magma N. Y. N."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib56","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2019.101747","article-title":"Group ICA for identifying biomarkers in schizophrenia: \u2018Adaptive\u2019 networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression","volume":"22","author":"Salman","year":"2019","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib57","series-title":"in: Encyclopedia of Behavioral Neuroscience, 2nd Edition","first-page":"630","article-title":"Clinical aspects of apraxia","author":"Schmidt","year":"2022"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib58","series-title":"in: Encyclopedia of Behavioral Neuroscience, 2nd Edition","first-page":"668","article-title":"The cognitive neuroscience of apraxia","author":"Schmidt","year":"2022"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib59","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.cortex.2021.11.004","article-title":"Distinct cognitive components and their neural substrates underlying praxis and language deficits following left hemisphere stroke","volume":"146","author":"Schmidt","year":"2022","journal-title":"Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib60","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neuron.2009.03.024","article-title":"Neurodegenerative diseases target large-scale human brain networks","volume":"62","author":"Seeley","year":"2009","journal-title":"Neuron"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib61","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.cortex.2019.08.023","article-title":"A network underlying human higher-order motor control: insights from machine learning-based lesion-behaviour mapping in apraxia of pantomime","volume":"121","author":"Sperber","year":"2019","journal-title":"Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib62","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1111\/jnp.12023","article-title":"A model-based approach to limb apraxia in Alzheimer\u2019s disease","volume":"8","author":"Stamenova","year":"2014","journal-title":"J. Neuropsychol."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib63","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.neuron.2013.12.022","article-title":"The metastable brain","volume":"81","author":"Tognoli","year":"2014","journal-title":"Neuron"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib64","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117713","article-title":"Behavioural relevance of spontaneous, transient brain network interactions in fMRI","volume":"229","author":"Vidaurre","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib65","doi-asserted-by":"crossref","first-page":"2882","DOI":"10.1093\/cercor\/bhw034","article-title":"Shaping early reorganization of neural networks promotes motor function after stroke","volume":"26","author":"Volz","year":"2016","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib66","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1016\/j.neuropsychologia.2009.01.024","article-title":"Noradrenergic stimulation and motor performance: differential effects of reboxetine on movement kinematics and visuomotor abilities in healthy human subjects","volume":"47","author":"Wang","year":"2009","journal-title":"Neuropsychologia"},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib67","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2018.08.033","article-title":"Bilateral functional connectivity at rest predicts apraxic symptoms after left hemisphere stroke","volume":"21","author":"Watson","year":"2019","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib68","unstructured":"Weiss, P.H., Kalbe, E., Kessler, J., Fink, G.R., Binder, E., Hesse, M.D., Scherer, A., 2013. K\u00f6lner apraxie screening. Hogrefe, G\u00f6ttingen."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib69","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2024.1368052","article-title":"Age- and sex-related changes in motor functions: a comprehensive assessment and component analysis","volume":"16","author":"Wunderle","year":"2024","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib70","doi-asserted-by":"crossref","first-page":"4907","DOI":"10.1007\/s00018-021-03830-w","article-title":"Alzheimer\u2019s pathogenic mechanisms and underlying sex difference","volume":"78","author":"Zhu","year":"2021","journal-title":"Cell. Mol. Life Sci."},{"key":"10.1016\/j.neurobiolaging.2025.09.007_bib71","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.jneumeth.2008.04.012","article-title":"An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF","volume":"172","author":"Zou","year":"2008","journal-title":"J. Neurosci. Methods"}],"container-title":["Neurobiology of Aging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0197458025001691?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0197458025001691?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T11:55:56Z","timestamp":1781006156000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0197458025001691"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":71,"alternative-id":["S0197458025001691"],"URL":"https:\/\/doi.org\/10.1016\/j.neurobiolaging.2025.09.007","relation":{},"ISSN":["0197-4580"],"issn-type":[{"value":"0197-4580","type":"print"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Apraxic deficits in Alzheimer\u2019s disease are associated with altered dynamic connectivity in praxis-related networks","name":"articletitle","label":"Article Title"},{"value":"Neurobiology of Aging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neurobiolaging.2025.09.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}