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Cited by in CrossRef
For: Mormina E, Petracca M, Bommarito G, Piaggio N, Cocozza S, Inglese M. Cerebellum and neurodegenerative diseases: Beyond conventional magnetic resonance imaging. World J Radiol 2017; 9(10): 371-388 [PMID: 29104740 DOI: 10.4329/wjr.v9.i10.371]
URL: https://www.wjgnet.com/1949-8470/full/v9/i10/371.htm
Number Citing Articles
1
Heather A. Wishart. Functional Neuroradiology2023; : 781 doi: 10.1007/978-3-031-10909-6_34
2
Mengjiao Liu, Jian He, Dongwei Liu, Meijin Hou, Ye Ma. Bibliometric and visualized analysis of dynamic balance and brain function using web of science and CiteSpace from 1995 to 2022Heliyon 2024; 10(2): e24300 doi: 10.1016/j.heliyon.2024.e24300
3
Rakesh Kumar Sahoo, Tanisha Gupta, Sanya Batheja, Amit Kumar Goyal, Umesh Gupta. Surface Engineered Dendrimers: A Potential Nanocarrier for the Effective Management of Glioblastoma MultiformeCurrent Drug Metabolism 2022; 23(9): 708 doi: 10.2174/1389200223666220616125524
4
Hyung‐Ji Kim, E‐nae Cheong, Sungyang Jo, Sunju Lee, Woo‐Hyun Shim, Miseon Kwon, Jae Seung Kim, Bum Joon Kim, Jae‐Hong Lee. The cerebellum could serve as a potential imaging biomarker of dementia conversion in patients with amyloid‐negative amnestic mild cognitive impairmentEuropean Journal of Neurology 2021; 28(5): 1520 doi: 10.1111/ene.14770
5
Rachid Kaddoura, Hanan Faraji, Malek Othman, Amin Abu Hijleh, Tom Loney, Nandu Goswami, Hani T S Benamer. Exploring Factors Associated with Falls in Multiple Sclerosis: Insights from a Scoping ReviewClinical Interventions in Aging 2024; : 923 doi: 10.2147/CIA.S460475
6
Lorenzo Ugga, Sirio Cocozza, Giuseppe Pontillo, Camilla Russo, Vincenzo Brescia Morra, Roberta Lanzillo, Eleonora Riccio, Antonio Pisani, Arturo Brunetti. Absence of infratentorial lesions in Fabry disease contributes to differential diagnosis with multiple sclerosisBrain and Behavior 2018; 8(11) doi: 10.1002/brb3.1121
7
Ling Ding, Zhenbin Lyu, Dinesh Dhumal, Chai-Lin Kao, Monique Bernard, Ling Peng. Dendrimer-based magnetic resonance imaging agents for brain cancerScience China Materials 2018; 61(11): 1420 doi: 10.1007/s40843-018-9323-6
8
Xi Leng, Peng Fang, Huan Lin, Chunhong Qin, Xin Tan, Yi Liang, Chi Zhang, Hongzhuo Wang, Jie An, Donglin Wu, Qihui Liu, Shijun Qiu. Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinomaCancer Imaging 2019; 19(1) doi: 10.1186/s40644-019-0203-y
9
Alon Kalron, Roy Aloni, Mark Dolev, Lior Frid, Uri Givon, Shay Menascu. The relationship between gait variability and cognitive functions differs between fallers and non-fallers in MSJournal of Neural Transmission 2018; 125(6): 945 doi: 10.1007/s00702-018-1843-y
10
Sarah F. McComish, Maeve A. Caldwell. Generation of defined neural populations from pluripotent stem cellsPhilosophical Transactions of the Royal Society B: Biological Sciences 2018; 373(1750): 20170214 doi: 10.1098/rstb.2017.0214
11
Antonia Wenger, Pasquale Calabrese, Cristina Granziera. Unraveling the cerebellum’s role in multiple sclerosisCurrent Opinion in Behavioral Sciences 2024; 56: 101357 doi: 10.1016/j.cobeha.2024.101357
12
Pierre Chagué, Béatrice Marro, Sarah Fadili, Marion Houot, Alexandre Morin, Jorge Samper-González, Paul Beunon, Lionel Arrivé, Didier Dormont, Bruno Dubois, Marc Teichmann, Stéphane Epelbaum, Olivier Colliot. Radiological classification of dementia from anatomical MRI assisted by machine learning-derived mapsJournal of Neuroradiology 2021; 48(6): 412 doi: 10.1016/j.neurad.2020.04.004
13
Daniel Hernandez, Kyoung-Nam Kim. Computational evaluation for improving the |B1+field in deep brain and cerebellum using a combination of a birdcage coil and a dipole antenna arrayJournal of Electromagnetic Waves and Applications 2020; 34(7): 926 doi: 10.1080/09205071.2020.1760148
14
Dayang Yasmin Abg Abd Wahab, Chuang Huei Gau, Rahimah Zakaria, Mohan Kumar Muthu Karuppan, Badriya S. A-rahbi, Zuraidah Abdullah, Aziza Alrafiah, Jafri Malin Abdullah, Sangu Muthuraju. Review on Cross Talk between Neurotransmitters and Neuroinflammation in Striatum and Cerebellum in the Mediation of Motor BehaviourBioMed Research International 2019; 2019: 1 doi: 10.1155/2019/1767203
15
Shane O’Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione. Artificial Intelligence and Machine Learning for Digital PathologyLecture Notes in Computer Science 2020; 12090: 307 doi: 10.1007/978-3-030-50402-1_18
16
Komal Bharti, Muhammad Khan, Christian Beaulieu, Simon J. Graham, Hannah Briemberg, Richard Frayne, Angela Genge, Lawrence Korngut, Lorne Zinman, Sanjay Kalra. Involvement of the dentate nucleus in the pathophysiology of amyotrophic lateral sclerosis: A multi-center and multi-modal neuroimaging studyNeuroImage: Clinical 2020; 28: 102385 doi: 10.1016/j.nicl.2020.102385
17
Katherine Hope Kenyon, Frederique Boonstra, Gustavo Noffs, Helmut Butzkueven, Adam P. Vogel, Scott Kolbe, Anneke van der Walt. An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple SclerosisThe Cerebellum 2022; 22(4): 761 doi: 10.1007/s12311-022-01435-y
18
Gabriele Pasqua, Silvia Tommasin, Komal Bharti, Serena Ruggieri, Nikolaos Petsas, Claudia Piervincenzi, Carlo Pozzilli, Patrizia Pantano. Resting-state functional connectivity of anterior and posterior cerebellar lobes is altered in multiple sclerosisMultiple Sclerosis Journal 2021; 27(4): 539 doi: 10.1177/1352458520922770
19
Sirio Cocozza, Giuseppe Pontillo, Camilla Russo, Cinzia Valeria Russo, Teresa Costabile, Alessio Pepe, Enrico Tedeschi, Roberta Lanzillo, Vincenzo Brescia Morra, Arturo Brunetti, Matilde Inglese, Maria Petracca. Cerebellum and cognition in progressive MS patients: functional changes beyond atrophy?Journal of Neurology 2018; 265(10): 2260 doi: 10.1007/s00415-018-8985-6
20
Maxim L. Bychkov, Aizek B. Isaev, Alexander A. Andreev-Andrievskiy, Konstantin Petrov, Alexander S. Paramonov, Mikhail P. Kirpichnikov, Ekaterina N. Lyukmanova. Aβ1-42 Accumulation Accompanies Changed Expression of Ly6/uPAR Proteins, Dysregulation of the Cholinergic System, and Degeneration of Astrocytes in the Cerebellum of Mouse Model of Early Alzheimer DiseaseInternational Journal of Molecular Sciences 2023; 24(19): 14852 doi: 10.3390/ijms241914852
21
Yi-Cheng Lin, Chih-Chin Heather Hsu, Pei-Ning Wang, Ching-Po Lin, Li-Hung Chang. The Relationship Between Zebrin Expression and Cerebellar Functions: Insights From Neuroimaging StudiesFrontiers in Neurology 2020; 11 doi: 10.3389/fneur.2020.00315
22
Silvia Tommasin, Viktoriia Iakovleva, Maria Assunta Rocca, Costanza Giannì, Gioacchino Tedeschi, Nicola De Stefano, Carlo Pozzilli, Massimo Filippi, Patrizia Pantano. Relation of sensorimotor and cognitive cerebellum functional connectivity with brain structural damage in patients with multiple sclerosis and no disabilityEuropean Journal of Neurology 2022; 29(7): 2036 doi: 10.1111/ene.15329
23
Sanjaykanth B, Jasvant Ram Ananthasayanam, Sharmeela S, Arunkumar Mohanakrishnan, Karthik Krishna Ramakrishnan. Olivopontocerebellar Degeneration in a Young Adult Female: A Case Report of Early Onset and an Uncommon CourseCureus 2024;  doi: 10.7759/cureus.69384
24
Tiago Marcon dos Santos, Osmar Vieira Ramires Júnior, Vinícius Santos Alves, Robson Coutinho-Silva, Luiz Eduardo Baggio Savio, Angela T.S. Wyse. Hyperhomocysteinemia alters cytokine gene expression, cytochrome c oxidase activity and oxidative stress in striatum and cerebellum of rodentsLife Sciences 2021; 277: 119386 doi: 10.1016/j.lfs.2021.119386
25
Merve Nur Ozgen, Necati Emre Sahin, Nurcan Ertan, Bunyamin Sahin. Investigation of total cerebellar and flocculonodular lobe volume in Parkinson’s disease and healthy individuals: a brain segmentation studyNeurological Sciences 2024; 45(9): 4291 doi: 10.1007/s10072-024-07509-5
26
Sirio Cocozza, Maria Petracca, Enricomaria Mormina, Korhan Buyukturkoglu, Kornelius Podranski, Monika M Heinig, Giuseppe Pontillo, Camilla Russo, Enrico Tedeschi, Cinzia Valeria Russo, Teresa Costabile, Roberta Lanzillo, Asaff Harel, Sylvia Klineova, Aaron Miller, Arturo Brunetti, Vincenzo Brescia Morra, Fred Lublin, Matilde Inglese. Cerebellar lobule atrophy and disability in progressive MSJournal of Neurology, Neurosurgery & Psychiatry 2017; 88(12): 1065 doi: 10.1136/jnnp-2017-316448
27
Chantal M.W. Tax, Filip Szczepankiewicz, Markus Nilsson, Derek K. Jones. The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brainNeuroImage 2020; 210: 116534 doi: 10.1016/j.neuroimage.2020.116534
28
Robert L. Barry, Suma Babu, Sheeba Arnold Anteraper, Christina Triantafyllou, Boris Keil, Olivia E. Rowe, D. Rangaprakash, Sabrina Paganoni, Robert Lawson, Christina Dheel, Paul M. Cernasov, Bruce R. Rosen, Eva-Maria Ratai, Nazem Atassi. Ultra-high field (7T) functional magnetic resonance imaging in amyotrophic lateral sclerosis: a pilot studyNeuroImage: Clinical 2021; 30: 102648 doi: 10.1016/j.nicl.2021.102648
29
P. Thilakavathy, B. Diwan. An Adaboost Support Vector Machine Based Harris Hawks Optimization Algorithm for Intelligent Quotient Estimation from MRI ImagesNeural Processing Letters 2023; 55(1): 519 doi: 10.1007/s11063-022-10895-6
30
Dain L. Maxwell, Jacqueline M. Orian. Cerebellar pathology in multiple sclerosis and experimental autoimmune encephalomyelitis: current status and future directionsJournal of Central Nervous System Disease 2023; 15 doi: 10.1177/11795735231211508
31
Maria Petracca, Gary Cutter, Sirio Cocozza, Leorah Freeman, John Kangarlu, Monica Margoni, Matteo Moro, Stephen Krieger, Mohamed Mounir El Mendili, Amgad Droby, Jerry S. Wolinsky, Fred Lublin, Matilde Inglese. Cerebellar pathology and disability worsening in relapsing‐remitting multiple sclerosis: A retrospective analysis from the CombiRx trialEuropean Journal of Neurology 2022; 29(2): 515 doi: 10.1111/ene.15157
32
Yijing Zhou, Vanessa B. Sanchez, Peining Xu, Thomas Roule, Marco Flores-Mendez, Brianna Ciesielski, Donna Yoo, Hiab Teshome, Teresa Jimenez, Shibo Liu, Mike Henne, Tim O’Brien, Ye He, Clementina Mesaros, Naiara Akizu. Altered lipid homeostasis is associated with cerebellar neurodegeneration in SNX14 deficiencyJCI Insight 2024; 9(10) doi: 10.1172/jci.insight.168594
33
Nataliia Maryenko, Oleksandr Stepanenko. Evaluation of cerebellar aging in MRI images: Fractal analysis compared to Euclidean geometry-based morphometryMeta-Radiology 2024; 2(3): 100101 doi: 10.1016/j.metrad.2024.100101
34
Dong Ah Lee, Ho-Joon Lee, Kang Min Park. Cerebellar Volume Reduction in Patients with Isolated REM Sleep Behavior Disorder: Evidence of a Potential Role of the CerebellumEuropean Neurology 2023; 86(5): 341 doi: 10.1159/000533297
35
Sirio Cocozza. Editorial: The Cerebellum: From Vascular Disease to NeurodegenerationFrontiers in Neurology 2021; 12 doi: 10.3389/fneur.2021.657376
36
Peder O. Laugen Heggdal, Kristina S. Larsen, Jonas Brännström, Hans Jørgen Aarstad, Karsten Specht. Reduced grey- and white matter volumes due to unilateral hearing loss following treatment for vestibular schwannomaHeliyon 2020; 6(12): e05658 doi: 10.1016/j.heliyon.2020.e05658
37
Iman Sadeghi, Juan D. Gispert, Emilio Palumbo, Manuel Muñoz-Aguirre, Valentin Wucher, Valeria D'Argenio, Gabriel Santpere, Arcadi Navarro, Roderic Guigo, Natàlia Vilor-Tejedor. Brain transcriptomic profiling reveals common alterations across neurodegenerative and psychiatric disordersComputational and Structural Biotechnology Journal 2022; 20: 4549 doi: 10.1016/j.csbj.2022.08.037
38
Maria Petracca, Giuseppe Pontillo, Marcello Moccia, Antonio Carotenuto, Sirio Cocozza, Roberta Lanzillo, Arturo Brunetti, Vincenzo Brescia Morra. Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple SclerosisBrain Sciences 2021; 11(3): 346 doi: 10.3390/brainsci11030346
39
Kazuya Kawabata, Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Reiko Ohdake, Michihito Masuda, Aya Ogura, Toshiyasu Kato, Shuji Koyama, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue. Functional connector hubs in the cerebellumNeuroImage 2022; 257: 119263 doi: 10.1016/j.neuroimage.2022.119263
40
Paraskevi Iliadou, Christos Bakirtzis, Panagiotis Ioannidis, Katherine Possin, Stelios Zygouris, Styliani-Aggeliki Sintila, Nikolaos Grigoriadis, Eleni Aretouli. Neuropsychological correlates of cerebellar volumes in multiple sclerosis: an MRI volumetric analysis studyJournal of Integrative Neuroscience 2022; 21(1) doi: 10.31083/j.jin2101013
41
Mohamed Mounir El Mendili, Maria Petracca, Kornelius Podranski, Lazar Fleysher, Sirio Cocozza, Matilde Inglese. SUITer: An Automated Method for Improving Segmentation of Infratentorial Structures at Ultra‐High‐Field MRIJournal of Neuroimaging 2020; 30(1): 28 doi: 10.1111/jon.12672
42
Kyla Bourque, Nourhen Mnasri, Jace Jones-Tabah, Kimberly Martins-Cannavino, Terence E. Hébert. Comprehensive Pharmacology2022; : 372 doi: 10.1016/B978-0-12-820472-6.00049-9
43
Mozhgan Alipour, Behnam Hajipour Verdom, Meisam Akhlaghdoust, Saeid Safari, Alireza Zali. Artificial Intelligence in Deep Brain Stimulation: A Brief ReviewInterventional Pain Medicine and Neuromodulation 2023; 2(1) doi: 10.5812/ipmn-134133
44
Patrick Dupont. A Role of PET/MR Imaging in Dementia?Seminars in Nuclear Medicine 2021; 51(3): 296 doi: 10.1053/j.semnuclmed.2021.01.003
45
Anil P. Jagtap, Lukas Kaltschnee, Stefan Glöggler. Hyperpolarization of15N-pyridinium and15N-aniline derivatives by using parahydrogen: new opportunities to store nuclear spin polarization in aqueous mediaChemical Science 2019; 10(37): 8577 doi: 10.1039/C9SC02970B