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For: Castellazzi G, Bruno SD, Toosy AT, Casiraghi L, Palesi F, Savini G, D'Angelo E, Wheeler-Kingshott CAMG. Prominent Changes in Cerebro-Cerebellar Functional Connectivity During Continuous Cognitive Processing. Front Cell Neurosci 2018;12:331. [PMID: 30327590 DOI: 10.3389/fncel.2018.00331] [Cited by in Crossref: 11] [Cited by in F6Publishing: 17] [Article Influence: 2.8] [Reference Citation Analysis]
Number Citing Articles
1 Picerni E, Laricchiuta D, Piras F, Petrosini L, Spalletta G, Cutuli D. Cerebellar engagement in the attachment behavioral system. Sci Rep 2022;12:13571. [PMID: 35945247 DOI: 10.1038/s41598-022-17722-x] [Reference Citation Analysis]
2 Monteverdi A, Palesi F, Costa A, Vitali P, Pichiecchio A, Cotta Ramusino M, Bernini S, Jirsa V, Gandini Wheeler-kingshott CAM, D’angelo E. Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases. Front Aging Neurosci 2022;14:868342. [DOI: 10.3389/fnagi.2022.868342] [Reference Citation Analysis]
3 Kang DW, Wang S, Um YH, Kim N, Lee CU, Lim HK. Impact of APOE ε4 Carrier Status on Associations Between Subthreshold, Positive Amyloid-β Deposition, Brain Function, and Cognitive Performance in Cognitively Normal Older Adults: A Prospective Study. Front Aging Neurosci 2022;14:871323. [DOI: 10.3389/fnagi.2022.871323] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Hu H, Jiang Y, Xia M, Tang Y, Zhang T, Cui H, Wang J, Xu L, Curtin A, Sheng J, Cao X, Guo Q, Jia Y, Li C, Wang Z, Luo C, Wang J. Functional reconfiguration of cerebellum-cerebral neural loop in schizophrenia following electroconvulsive therapy. Psychiatry Res Neuroimaging 2022;320:111441. [PMID: 35085957 DOI: 10.1016/j.pscychresns.2022.111441] [Reference Citation Analysis]
5 Babu Henry Samuel I, Pollin KU, Breneman CB. Lower cortical volume is associated with poor sleep quality after traumatic brain injury. Brain Imaging Behav 2022. [PMID: 35018551 DOI: 10.1007/s11682-021-00615-4] [Reference Citation Analysis]
6 Liu CJ, Ammon W, Siless V, Fogarty M, Wang R, Atzeni A, Aganj I, Iglesias JE, Zöllei L, Fischl B, Schmahmann JD, Wang H. Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution. Neuroimage 2021;244:118627. [PMID: 34607020 DOI: 10.1016/j.neuroimage.2021.118627] [Reference Citation Analysis]
7 He F, Li Y, Li C, Fan L, Liu T, Wang J. Repeated anodal high-definition transcranial direct current stimulation over the left dorsolateral prefrontal cortex in mild cognitive impairment patients increased regional homogeneity in multiple brain regions. PLoS One 2021;16:e0256100. [PMID: 34388179 DOI: 10.1371/journal.pone.0256100] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
8 Sakakibara N, Makita K, Hiraoka D, Kasaba R, Kuboshita R, Shimada K, Fujisawa TX, Tomoda A. Increased resting-state activity in the cerebellum with mothers having less adaptive sensory processing and trait anxiety. Hum Brain Mapp 2021. [PMID: 34270152 DOI: 10.1002/hbm.25594] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
9 Tang F, Zhu D, Ma W, Yao Q, Li Q, Shi J. Differences Changes in Cerebellar Functional Connectivity Between Mild Cognitive Impairment and Alzheimer's Disease: A Seed-Based Approach. Front Neurol 2021;12:645171. [PMID: 34220669 DOI: 10.3389/fneur.2021.645171] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
10 Ionescu TM, Amend M, Hafiz R, Biswal BB, Wehrl HF, Herfert K, Pichler BJ. Elucidating the complementarity of resting-state networks derived from dynamic [18F]FDG and hemodynamic fluctuations using simultaneous small-animal PET/MRI. Neuroimage 2021;236:118045. [PMID: 33848625 DOI: 10.1016/j.neuroimage.2021.118045] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Pizzarotti B, Palesi F, Vitali P, Castellazzi G, Anzalone N, Alvisi E, Martinelli D, Bernini S, Cotta Ramusino M, Ceroni M, Micieli G, Sinforiani E, D'Angelo E, Costa A, Gandini Wheeler-Kingshott CAM. Frontal and Cerebellar Atrophy Supports FTSD-ALS Clinical Continuum. Front Aging Neurosci 2020;12:593526. [PMID: 33324193 DOI: 10.3389/fnagi.2020.593526] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
12 Vandervert L. The prominent role of the cerebellum in the social learning of the phonological loop in working memory: How language was adaptively built from cerebellar inner speech required during stone-tool making. AIMS Neurosci 2020;7:333-43. [PMID: 32995491 DOI: 10.3934/Neuroscience.2020020] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Palesi F, Lorenzi RM, Casellato C, Ritter P, Jirsa V, Gandini Wheeler-Kingshott CAM, D'Angelo E. The Importance of Cerebellar Connectivity on Simulated Brain Dynamics. Front Cell Neurosci 2020;14:240. [PMID: 32848628 DOI: 10.3389/fncel.2020.00240] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
14 Molinari M, Masciullo M. The Implementation of Predictions During Sequencing. Front Cell Neurosci 2019;13:439. [PMID: 31649509 DOI: 10.3389/fncel.2019.00439] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
15 Vandervert L. The evolution of theory of mind (ToM) within the evolution of cerebellar sequence detection in stone-tool making and language: implications for studies of higher-level cognitive functions in degenerative cerebellar atrophy. Cerebellum Ataxias 2019;6:1. [PMID: 31293790 DOI: 10.1186/s40673-019-0101-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
16 D'Angelo E. The cerebellum gets social. Science 2019;363:229. [PMID: 30655429 DOI: 10.1126/science.aaw2571] [Cited by in Crossref: 9] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
17 Savini G, Pardini M, Castellazzi G, Lascialfari A, Chard D, D'Angelo E, Gandini Wheeler-Kingshott CAM. Default Mode Network Structural Integrity and Cerebellar Connectivity Predict Information Processing Speed Deficit in Multiple Sclerosis. Front Cell Neurosci 2019;13:21. [PMID: 30853896 DOI: 10.3389/fncel.2019.00021] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]