EEG-Derived Functional Connectivity Patterns Associated with Mild Cognitive Impairment in Parkinson’s Disease
Open accessAbstract
Objective: To evaluate EEG-derived functional connectivity (FC) patterns associated with mild cognitive impairment (MCI) in Parkinson’s disease (PD). METHODS: A sample of 15 patients without cognitive impairment (PD-WCI), 15 with MCI (PD-MCI), and 26 healthy subjects were studied. The EEG was performed in the waking functional state with eyes closed, for the functional analysis it was used the synchronization likelihood (SL) and graph theory (GT). RESULTS: PD-MCI patients showed decreased FC in frequencies alpha, in posterior regions, and delta with a generalized distribution. Patients, compared to the healthy people, presented a decrease in segregation (lower clustering coefficient in alpha p = 0.003 in PD-MCI patients) and increased integration (shorter mean path length in delta (p = 0.004) and theta (p = 0.002) in PD-MCI patients). There were no significant differences in the network topology between the parkinsonian groups. In PD-MCI patients, executive dysfunction correlated positively with global connectivity in beta (r = 0.47) and negatively with the mean path length at beta (r = −0.45); alterations in working memory were negatively correlated with the mean path length at beta r = −0.45. CONCLUSIONS: PD patients present alterations in the FC in all frequencies, those with MCI show less connectivity in the alpha and delta frequencies. The neural networks of the patients show a random topology, with a similar organization between patients with and without MCI. In PD-MCI patients, alterations in executive function and working memory are related to beta integration.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Alterations in brain FC may precede structural damage and might be a key marker in detecting changes in brain plasticity over short periods in some neurodegenerative diseases.
“Alterations in the brain FC may precede structural damage and might be a key marker in detecting changes in brain plasticity over short periods in some neurodegenerative diseases [30-32].”
From QEEG Signatures are Associated with Nonmotor Dysfunctions in Parkinson's Disease and Atypical Parkinsonism: An Integrative Analysis (2023) · cites this paper as [31]
Compared with healthy people, patients with PD without cognitive impairment showed decreased EEG-FC in the alpha and theta frequencies, while those with PD with mild cognitive impairment showed decreased EEG-FC in alpha in posterior distribution, and delta frequency with a generalized distribution.
“Compared with healthy people, patients with PD without cognitive impairment showed a decrease EEG-FC in the alpha and theta frequencies, while those with PD with mild cognitive impairment showed decreased EEG-FC in alpha in posterior distribution, and delta frequency with a generalized distribution [60].”
From QEEG Signatures are Associated with Nonmotor Dysfunctions in Parkinson's Disease and Atypical Parkinsonism: An Integrative Analysis (2023) · cites this paper as [60]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777 · see citing works
The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease.
Gibb, W. R., & Lees, A. J. (1988) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.51.6.745 · Cited by 3,481 · see citing works
Clinical diagnostic criteria for dementia associated with Parkinson’s disease
Emre, M., Aarsland, D., Brown, R., Burn, D. J., Duyckaerts, C., Mizuno, Y., Broe, G. A., Cummings, J., Dickson, D. W., Gauthier, S., et al. (2007) · Movement Disorders · doi:10.1002/mds.21507 · Cited by 3,027 · see citing works
Litvan, I., Goldman, J. G., Tröster, A. I., Schmand, B. A., Weintraub, D., Petersen, R. C., Mollenhauer, B., Adler, C. H., Marder, K., Williams‐Gray, C. H., et al. (2012) · Movement Disorders · doi:10.1002/mds.24893 · Cited by 2,609 · see citing works
Cognitive decline in Parkinson disease
Aarsland, D., Creese, B., Politis, M., Chaudhuri, K. R., ffytche, D. H., Weintraub, D., & Ballard, C. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.27 · Cited by 1,027 · see citing works
Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease
Stam, C. J., de Haan, W., Daffertshofer, A., Jones, B. F., Manshanden, I., van Walsum, A. M. V. C., Montez, T., Verbunt, J. P. A., de Munck, J. C., van Dijk, B. W., et al. (2008) · Brain · doi:10.1093/brain/awn262 · Cited by 896 · see citing works
Stam, C. J., & van Dijk, B. W. (2002) · Physica D Nonlinear Phenomena · doi:10.1016/s0167-2789(01)00386-4 · Cited by 634 · see citing works
A fronto–striato–subthalamic–pallidal network for goal-directed and habitual inhibition
Jahanshahi, M., Obeso, I., Rothwell, J. C., & Obeso, J. A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn4038 · Cited by 521 · see citing works
Cortico-cortical coupling in Parkinson's disease and its modulation by therapy
Silberstein, P., Pogosyan, A. H., Kühn, A. A., Hotton, G. R., Tisch, S. H., Kupsch, A. R., Limousin, P. D., Hariz, M. I., & Brown, P. (2005) · Brain · doi:10.1093/brain/awh480 · Cited by 299 · see citing works
Disrupted brain network topology in Parkinson’s disease: a longitudinal magnetoencephalography study
Dubbelink, K. T. E. O., Hillebrand, A., Stoffers, D., Deijen, J. B., Twisk, J. W. R., Stam, C. J., & Berendse, H. W. (2013) · Brain · doi:10.1093/brain/awt316 · Cited by 244 · see citing works
Quantitative EEG as a predictive biomarker for Parkinson disease dementia
Klassen, B. T., Hentz, J. G., Shill, H. A., Driver‐Dunckley, E. D., Evidente, V. G. H., Sabbagh, M. N., Adler, C. H., & Caviness, J. N. (2011) · Neurology · doi:10.1212/wnl.0b013e318224af8d · Cited by 215 · see citing works
Cognitive decline correlates with neuropathological stage in Parkinson's disease
Braak, H., Rüb, U., & Tredici, K. D. (2006) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2006.05.011 · Cited by 210 · see citing works
Review: Parkinson's disease: from synaptic loss to connectome dysfunction
Bellucci, A., Mercuri, N. B., Venneri, A., Faustini, G., Longhena, F., Pizzi, M., Missale, C., & Spano, P. (2015) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12297 · Cited by 203 · see citing works
Clinical correlates of quantitative EEG in Parkinson disease
Geraedts, V. J., Boon, L. I., Marinus, J., Gouw, A. A., van Hilten, J. J., Stam, C. J., Tannemaat, M. R., & Contarino, M. F. (2018) · Neurology · doi:10.1212/wnl.0000000000006473 · Cited by 186 · see citing works
Vecchio, F., Miraglia, F., Marra, C., Quaranta, D., Vita, M. G., Bramanti, P., & Rossini, P. M. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-132087 · Cited by 182 · see citing works
George, J. S., Strunk, J., Mak-McCully, R. A., Houser, M., Howard Poizner, A., & Aron, A. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.07.013 · Cited by 163 · see citing works
Cut‐off score of the Mattis Dementia Rating Scale for screening dementia in Parkinson's disease
Llebaria, G., Pagonabarraga, J., Kulisevsky, J., García‐Sánchez, C., Pascual‐Sedano, B., Gironell, A., & Martínez‐Corral, M. (2008) · Movement Disorders · doi:10.1002/mds.22173 · Cited by 150 · see citing works
The study of brain functional connectivity in Parkinson’s disease
Gao, L., & Wu, T. (2016) · Translational Neurodegeneration · doi:10.1186/s40035-016-0066-0 · Cited by 118 · see citing works
Functional connectivity disruptions correlate with cognitive phenotypes in Parkinson's disease
Hassan, M., Chaton, L., Benquet, P., Delval, A., Leroy, C., Plomhause, L., Moonen, A. J. H., Duits, A., Leentjens, A. F. G., van Kranen-Mastenbroek, V. H. J. M., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.03.002 · Cited by 107 · see citing works
Graph theory network function in Parkinson’s disease assessed with electroencephalography
Utianski, R. L., Caviness, J. N., van Straaten, E. C. W., Beach, T. G., Dugger, B. N., Shill, H. A., Driver‐Dunckley, E. D., Sabbagh, M. N., Mehta, S. H., Adler, C. H., et al. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.02.017 · Cited by 96 · see citing works
Babiloni, C., Percio, C. D., Lizio, R., Noce, G., Lopez, S., Soricelli, A., Ferri, R., Nobili, F. M., Arnaldi, D., Famà, F., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.023 · Cited by 88 · see citing works
MEG resting state functional connectivity in Parkinson’s disease related dementia
Bosboom, J. L. W., Stoffers, D., Wolters, E. C., Stam, C. J., & Berendse, H. W. (2008) · Journal of Neural Transmission · doi:10.1007/s00702-008-0132-6 · Cited by 86 · see citing works
Cognition in Parkinson's Disease
O’Callaghan, C., & Lewis, S. J. G. (2017) · International review of neurobiology · doi:10.1016/bs.irn.2017.05.002 · Cited by 85 · see citing works
Quantitative EEG and Cognitive Decline in Parkinson’s Disease
Cozac, V., Gschwandtner, U., Hatz, F., Hardmeier, M., Rüegg, S. J., & Fuhr, P. (2016) · Parkinson s Disease · doi:10.1155/2016/9060649 · Cited by 78 · see citing works
Babiloni, C., Percio, C. D., Lizio, R., Noce, G., Lopez, S., Soricelli, A., Ferri, R., Pascarelli, M. T., Catania, V., Nobili, F. M., et al. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.01.009 · Cited by 73 · see citing works
Bočková, M., & Rektor, I. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.11.013 · Cited by 72 · see citing works
Stoffers, D., Bosboom, J. L. W., Wolters, E. C., Stam, C. J., & Berendse, H. W. (2008) · Experimental Neurology · doi:10.1016/j.expneurol.2008.05.021 · Cited by 66 · see citing works
Herz, D. M., Siebner, H. R., Hulme, O. J., Florin, E., Christensen, M. S., & Timmermann, L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.023 · Cited by 66 · see citing works
Teramoto, H., Morita, A., Ninomiya, S., Akimoto, T., Shiota, H., & Kamei, S. (2016) · BioMed Research International · doi:10.1155/2016/2845754 · Cited by 58 · see citing works
Neurophysiological biomarkers for Lewy body dementias
Cromarty, R. A., Elder, G. J., Graziadio, S., Baker, M. R., Bonanni, L., ONOFRJ, M. C., O'Brien, J. T., & Taylor, J. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.06.020 · Cited by 56 · see citing works
Villeneuve, S., Brazète, J. R., Joncas, S., Postuma, R. B., Latreille, V., & Gagnon, J. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000326212 · Cited by 53 · see citing works
Herrera-Díaz, A., Quiñones, R. M., Melie‐García, L., Martínez‐Montes, E., Sanabria-Díaz, G., Quintana, Y. R., Salazar-Guerra, I., Carballoso-Acosta, M., & Caballero-Moreno, A. J. (2015) · Brain Topography · doi:10.1007/s10548-015-0467-x · Cited by 47 · see citing works
EEG Evidence of Posterior Cortical Disconnection in PD and Related Dementias
Pugnetti, L., Baglio, F., Farina, E., Alberoni, M., Calabrese, E., Gambini, A., di Bella, E., Garegnani, M., Deleonardis, L., & Nemni, R. (2010) · International Journal of Neuroscience · doi:10.3109/00207450903436346 · Cited by 43 · see citing works
Ponsen, M. M., Stam, C. J., Bosboom, J. L. W., Berendse, H. W., & Hillebrand, A. (2012) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.11.007 · Cited by 41 · see citing works
Hurtado‐Pomares, M., Cantero, M. C. T., Pérez, A. S., Leiva-Santana, C., Peral‐Gómez, P., Valera‐Gran, D., & Navarrete‐Muñoz, E. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207698 · Cited by 26 · see citing works
Demencia y deterioro cognitivo leve en la enfermedad de Parkinson: una revisión
García, Y. B., Trujillo, N., & Salazar, D. A. P. (2014) · Revista de Neurología · doi:10.33588/rn.5912.2014082 · Cited by 15 · see citing works
Ospina, B., & Vélez, J. L. O. (2019) · Acta neurológica colombiana · doi:10.22379/24224022248 · Cited by 4 · see citing works
Arroyave, J. A. C., Tobón, C., & Salazar, D. A. P. (2018) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [4]Maestú F. Pereda E. Del Pozo F. Conectividad Funcional y Anatómica en el Cerebro Humano Elsevier Amsterdam, The Netherlands 2015
Cited by
Sorted by citations
The applied principles of EEG analysis methods in neuroscience and clinical neurology
Zhang, H., Zhou, Q.-Q., Chen, H., Hu, X., Li, W., Bai, Y., Han, J., Wang, Y., Liang, Z., Chen, D., et al. (2023) · Military Medical Research · doi:10.1186/s40779-023-00502-7 · Cited by 185 · see citing works
Rostamikia, M., Sarbaz, Y., & Makouei, S. (2024) · Cognitive Neurodynamics · doi:10.1007/s11571-024-10152-7 · Cited by 55 · see citing works
Miraglia, F., Vecchio, F., Pappalettera, C., Nucci, L., Cotelli, M., Judica, E., Ferreri, F., & Rossini, P. M. (2022) · Brain Sciences · doi:10.3390/brainsci12030402 · Cited by 46 · see citing works
Age-Related Alterations in EEG Network Connectivity in Healthy Aging
Javaid, H., Kumarnsit, E., & Chatpun, S. (2022) · Brain Sciences · doi:10.3390/brainsci12020218 · Cited by 38 · see citing works
Research on Channel Selection and Multi-Feature Fusion of EEG Signals for Mental Fatigue Detection
Liu, Q., Liu, Y., Chen, K., Wang, L., Li, Z., Ai, Q., & Ma, L. (2021) · Entropy · doi:10.3390/e23040457 · Cited by 36 · see citing works
Yi, G., Wang, L., Chu, C., Liu, C., Zhu, X., Shen, X. X., Li, Z., Wang, F., Yang, M., & Wang, J. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09722-w · Cited by 34 · see citing works
Zhang, W., Han, X., Qiu, S., Li, T., Chu, C., Wang, L., Wang, J., Zhang, Z., Wang, R., Yang, M., et al. (2022) · IEEE Access · doi:10.1109/access.2022.3150561 · Cited by 25 · see citing works
Liu, H., Huang, Z., Deng, B., Chang, Z., Yang, X., Guo, X., Yuan, F., Yang, Q., Wang, L., Zou, H., et al. (2023) · Aging and disease · doi:10.14336/ad.2022.0514 · Cited by 20 · see citing works
Vecchio, F., Pappalettera, C., Miraglia, F., Alù, F., Orticoni, A., Judica, E., Cotelli, M., Pistoia, F., & Rossini, P. M. (2021) · Sensors · doi:10.3390/s21217266 · Cited by 19 · see citing works
Новиков, Н. Ю., Brazhnik, E. S., & Kitchigina, V. F. (2023) · Biochemistry (Moscow) · doi:10.1134/s0006297923110172 · Cited by 14 · see citing works
EEG-Based Mapping of Resting-State Functional Brain Networks in Patients with Parkinson’s Disease
Leviashvili, S., Ezra, Y., Droby, A., Ding, H., Groppa, S., Mirelman, A., Muthuraman, M., & Maidan, I. (2022) · Biomimetics · doi:10.3390/biomimetics7040231 · Cited by 28 · see citing works
Yi, G., Wang, Y., Wang, L., Chu, C., Wang, J., Shen, X. Y., Han, X., Li, Z., Bai, L., Li, Z., et al. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3243035 · Cited by 11 · see citing works
Hernandez, J., Lina, J., Dubé, J., Lafrenière, A., Gagnon, J., Montplaisir, J. Y., Postuma, R. B., & Carrier, J. (2024) · SLEEP · doi:10.1093/sleep/zsae074 · Cited by 10 · see citing works
Betrouni, N., Devignes, Q., Bayot, M., Derambure, P., Defebvre, L., Leentjens, A. F. G., Delval, A., & Dujardin, K. (2022) · Cortex · doi:10.1016/j.cortex.2022.04.015 · Cited by 9 · see citing works
Öğüt, E. (2025) · Discover Neuroscience · doi:10.1186/s13064-025-00214-9 · Cited by 8 · see citing works
Wan, H., Wu, D., Gao, D., Zhao, X., Wang, S., Huang, J., Wang, Y., Zhang, J., & Shao, X. (2023) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2023.105386 · Cited by 8 · see citing works
Phase synchronization analysis of EEG functional connectivity in Parkinson’s disease
Rajagopal, K., Naseri, N., Parastesh, F., Ghassemi, F., & Jafari, S. (2024) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2024.111997 · Cited by 7 · see citing works
Новиков, Н. Ю., Brazhnik, E. S., & Кичигина, В. Ф. (2023) · Biochemistry (Moscow) · doi:10.31857/s0320972523110180 · Cited by 6 · see citing works
Spoa, M., Monti, S., Bjekić, J., Guerra, A., Fiorenzato, E., Cauzzo, S., Bertoldo, A., & Antonini, A. (2025) · Journal of Neural Transmission · doi:10.1007/s00702-025-03065-0 · Cited by 4 · see citing works
EEG Sensor-Based Parkinson’s Disease Detection Using a Multi-Domain Feature Fusion Network
Wang, J., Huo, H., Kang, S., Ma, L., & Zhang, C. (2025) · Sensors · doi:10.3390/s25237189 · Cited by 4 · see citing works
Zawiślak-Fornagiel, K., Gorzkowska, A., Galus, W., Węgrzynek‐Gallina, J., Ledwoń, D. J., & Mitas, A. W. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.2110945 · Cited by 3 · see citing works
Afonso, M. M., Edla, D. R., & Reddy, R. R. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108899 · Cited by 3 · see citing works
Hu, X., Li, Z., Mo, J., Hu, W., Zhang, C., Wang, X., Sang, L., Zheng, Z., & Zhang, K. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70517 · Cited by 1 · see citing works
Das, S. S., & Puthankattil, S. D. (2022) · Expert Systems · doi:10.1111/exsy.13016 · Cited by 1 · see citing works
Liu, C., Jiang, Z., Wang, J., Wang, Y., & Zhu, X. (2024) · Chinese Control Conference (CCC) · doi:10.23919/ccc63176.2024.10661705
Wang, I.-N., Kim, H., Kim, H., Yoon, H.-J., Park, J.-S., Kim, J. B., & Kim, D. (2024) · Research Square · doi:10.21203/rs.3.rs-5329041/v1
Bahadur, I. N., & Boppana, L. (2025) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit65521.2025.11167574
- Authors
- Peláez Suárez, A. A., Berrillo Batista, S., Pedroso Ibáñez, I., Casabona Fernández, E., Fuentes Campos, M., & Chacón, L. M.
- Affiliations
- Movement Disorders and Neurodegeneration Clinic, International Center for Neurological Restoration, Playa, Havana 11300, Cuba
- Department of Clinical Neurophysiology, International Center for Neurological Restoration, Playa, Havana 11300, Cuba
- Polyclinic “28 de Enero”, Playa, Havana 11300, Cuba
- Venue
- Behavioral Sciences
- Publisher
- MDPI AG
- Published
- 2021-03-23
- Volume
- 11
- Issue
- 3
- Pages
- 40
- ISSN
- 2076-328X (ISSN-L)
- PMC
- PMC8005012
- OpenAlex
- W3136907916
- Cited by
- 27
- References
- 38
- Citations by year
- 2025: 7 · 2024: 5 · 2023: 5 · 2022: 7 · 2021: 3
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Behavioral Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Parkinson's disease, mild cognitive impairment, EEG functional connectivity, synchronization likelihood, graph theory, brain network topology, alpha band, delta band, beta band, clustering coefficient, average path length, executive dysfunction, working memory, cognitive impairment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review