Human Brain Networks in Cognitive Decline: A Graph Theoretical Analysis of Cortical Connectivity from EEG Data
Abstract
The aim of this study was to investigate the neuronal network characteristics in physiological and pathological brain aging. A database of 378 participants divided in three groups was analyzed: Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal elderly (Nold) subjects. Through EEG recordings, cortical sources were evaluated by sLORETA software, while graph theory parameters (Characteristic Path Length λ, Clustering coefficient γ, and small-world network σ) were computed to the undirected and weighted networks, obtained by the lagged linear coherence evaluated by eLORETA software. EEG cortical sources from spectral analysis showed significant differences in delta, theta, and alpha 1 bands. Furthermore, the analysis of eLORETA cortical connectivity suggested that for the normalized Characteristic Path Length (λ) the pattern differences between normal cognition and dementia were observed in the theta band (MCI subjects are find similar to healthy subjects), while for the normalized Clustering coefficient (γ) a significant increment was found for AD group in delta, theta, and alpha 1 bands; finally, the small world (σ) parameter presented a significant interaction between AD and MCI groups showing a theta increase in MCI. The fact that AD patients respect the MCI subjects were significantly impaired in theta but not in alpha bands connectivity are in line with the hypothesis of an intermediate status of MCI between normal condition and overt dementia.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Neurodegenerative diseases are usually characterized by a significant reduction in network connectivity, and cortical EEG-FC reflects the intensity of information flow among involved cortical regions.
“Neurodegenerative diseases are usually characterized by a significant reduction in network connectivity, and cortical EEG-FC reflects the intensity of information flow among involved cortical regions [57-59].”
From QEEG Signatures are Associated with Nonmotor Dysfunctions in Parkinson's Disease and Atypical Parkinsonism: An Integrative Analysis (2023) · cites this paper as [57]
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
Lawton, M. P., & Brody, E. M. (1969) · The Gerontologist · doi:10.1093/geront/9.3_part_1.179 · Cited by 18,540 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 1× · see citing works
“These plaques and tangles have been associated with (and probably heralded by) local synaptic dysfunction, suggesting that AD is a disconnection disease at least in its early stages [1–4], while at later stages, cortical atrophy progresses in an orderly fashion from cortical structures of the paleocortex—such as the h…”
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · see citing works
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986 · see citing works
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328 · see citing works
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056 · see citing works
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
Electroencephalography—Basic principles, clinical applications and related fields
(1982) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(82)90067-4 · Cited by 3,449 · see citing works
Removing electroencephalographic artifacts by blind source separation
Jung, T., Makeig, S., Humphries, C., Lee, T.-W., McKeown, M. J., Iragui, V. J., & B, T. J. S. A. (2000) · Psychophysiology · doi:10.1111/1469-8986.3720163 · Cited by 3,342 · see citing works
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260 · see citing works
Bassett, D. S., & Bullmore, E. (2006) · The Neuroscientist · doi:10.1177/1073858406293182 · Cited by 2,600 · see citing works
Functional and effective connectivity in neuroimaging: a synthesis
Friston, K. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020107 · Cited by 2,452 · see citing works
The functional states of the thalamus and the associated neuronal interplay.
Steriade, M., & Llinas, R. R. (1988) · Physiological Reviews · doi:10.1152/physrev.1988.68.3.649 · Cited by 1,746 · see citing works
Pathological verification of ischemic score in differentiation of dementias
Rosen, W. G., Terry, R. D., Fuld, P. A., Katzman, R., & Peck, A. (1980) · Annals of Neurology · doi:10.1002/ana.410070516 · Cited by 1,273 · see citing works
Carlesimo, G. A., Caltagirone, C., Gainotti, G., Fadda, L., Gallassi, R., Lorusso, S., Marfia, G. A., Marra, C., Nocentini, U., & Parnetti, L. (2008) · European Neurology · doi:10.1159/000117297 · Cited by 1,234 · see citing works
Self-citationNetwork Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease
Supekar, K., Menon, V., Rubin, D., Musen, M., & Greicius, M. D. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000100 · Cited by 1,148 · see citing works
Brain Graphs: Graphical Models of the Human Brain Connectome
Bullmore, E. T., & Bassett, D. S. (2011) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-040510-143934 · Cited by 1,130 · see citing works
Intensity and coherence of motifs in weighted complex networks.
Onnela, J., Saramäki, J., Kertész, J., & Kaski, K. (2004) · Physical review. E, Statistical, nonlinear, and soft matter physics · doi:10.1103/physreve.71.065103 · Cited by 1,087 · see citing works
Graph theoretical analysis of complex networks in the brain
Stam, C. J., & Reijneveld, J. C. (2007) · Nonlinear Biomedical Physics · doi:10.1186/1753-4631-1-3 · Cited by 1,036 · see citing works
He, Y., Chen, Z., & Evans, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0141-08.2008 · Cited by 965 · see citing works
Structure and function of complex brain networks
Sporns, O. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/osporns · Cited by 931 · 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
Aging, Memory, and Mild Cognitive Impairment
Petersen, R. C., Kokmen, E., Waring, S. C., Smith, G. E., Ivnik, R. J., & Tangelos, E. G. (1997) · International Psychogeriatrics · doi:10.1017/s1041610297004717 · Cited by 895 · see citing works
Mild cognitive impairment in the elderly: Predictors of dementia
Flicker, C., Ferris, S. H., & Reisberg, B. (1991) · Neurology · doi:10.1212/wnl.41.7.1006 · Cited by 838 · see citing works
Petersen, R. C. (1995) · JAMA · doi:10.1001/jama.1995.03520400044042 · Cited by 783 · see citing works
The elusive concept of brain connectivity
Horwitz, B. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00112-5 · Cited by 779 · see citing works
The Relationships Between Age, Sex, and the Incidence of Dementia and Alzheimer Disease
Gao, S., Hendrie, H. C., Hall, K. S., & Hui, S. L. (1998) · Archives of General Psychiatry · doi:10.1001/archpsyc.55.9.809 · Cited by 751 · see citing works
Alzheimer' Disease as a Disconnection Syndrome?
Delbeuck, X., der Linden, M. V., & Collette, F. (2003) · Neuropsychology Review · doi:10.1023/a:1023832305702 · Cited by 681 · see citing works
Portet, F. (2006) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2005.085332 · Cited by 652 · see citing works
Sanz-Arigita, E. J., Schoonheim, M. M., Damoiseaux, J. S., Rombouts, S. A. R. B., Maris, E., Barkhof, F., Scheltens, P., & Stam, C. J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013788 · Cited by 608 · see citing works
Lo, C. Z., Wang, P.-N., Chou, K., Wang, J., Yong He, A., & Lin, C. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4136-10.2010 · Cited by 538 · see citing works
Clinical neurophysiology of aging brain: From normal aging to neurodegeneration
Rossini, P. M., Rossi, S., Babiloni, C., & Polich, J. M. (2007) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2007.07.010 · Cited by 529 · see citing works
Self-citationSynaptic degeneration in Alzheimer's disease
Arendt, T. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0536-x · Cited by 517 · see citing works
Albert, M., Smith, L. A., Scherr, P. A., Taylor, J. O., Evans, D. A., & Funkenstein, H. H. (1991) · International Journal of Neuroscience · doi:10.3109/00207459109150691 · Cited by 495 · see citing works
Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI
Jack, C. R., Shiung, M. M., Weigand, S. D., O’Brien, P. C., Gunter, J. L., Boeve, B. F., Knopman, D. S., Smith, G. E., Ivnik, R. J., Tangalos, E. G., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000180958.22678.91 · Cited by 492 · see citing works
Problems in the Assessment of Hand Preference
Salmaso, D., & Longoni, A. M. (1985) · Cortex · doi:10.1016/s0010-9452(58)80003-9 · Cited by 491 · see citing works
Brain lesions that produce delta waves in the EEG
GLOOR, P., Ball, G. J., & Schaul, N. (1977) · Neurology · doi:10.1212/wnl.27.4.326 · Cited by 485 · see citing works
Incidence of dementia and probable Alzheimer's disease in a general population: The Framingham Study
Bachman, D. L., Wolf, P. A., Linn, R. T., Knoefel, J. E., Cobb, J. L., Belanger, A. J., White, L. R., & D'Agostino, R. B. (1993) · Neurology · doi:10.1212/wnl.43.3_part_1.515 · Cited by 470 · see citing works
Report of the second dementia with Lewy body international workshop
McKeith, I. G., Perry, E. K., & Perry, R. H. (1999) · Neurology · doi:10.1212/wnl.53.5.902 · Cited by 464 · see citing works
Disrupted Functional Brain Connectome in Individuals at Risk for Alzheimer's Disease
Wang, J., Zuo, X., Dai, Z., Xia, M., Zhao, Z., Zhao, X., Jia, J., Han, Y., & He, Y. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.026 · Cited by 432 · see citing works
Alzheimer's disease: connecting findings from graph theoretical studies of brain networks
Tijms, B. M., Wink, A. M., de Haan, W., van der Flier, W. M., Stam, C. J., Scheltens, P., & Barkhof, F. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.02.020 · Cited by 416 · see citing works
Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion
Scheltens, P., Fox, N. C., Barkhof, F., & DeCarli, C. S. (2002) · The Lancet Neurology · doi:10.1016/s1474-4422(02)00002-9 · Cited by 410 · see citing works
de Haan, W., Pijnenburg, Y. A. L., STRIJERS, R. L. M., van der Made, Y., van der Flier, W. M., Scheltens, P., & Stam, C. J. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-101 · Cited by 404 · see citing works
Gratton, C., Nomura, E. M., Pérez, F., & D’Esposito, M. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00222 · Cited by 336 · see citing works
Bai, F., Shu, N., Yuan, Y., Shi, Y., Yu, H., Wu, D., Wang, J., Xia, M., Yong He, A., & Zhang, Z. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5061-11.2012 · Cited by 299 · see citing works
Neural aspects of anticipatory behavior
BRUNIA, C. H. M. (1999) · Acta Psychologica · doi:10.1016/s0001-6918(99)00006-2 · Cited by 296 · see citing works
Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study
Iriarte, J., Urrestarazu, E., Valencia, M., Alegre, M., Malanda, A., Viteri, C., & Artieda, J. (2003) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200307000-00004 · Cited by 290 · see citing works
Rossini, P. M., Del Percio, C., Pasqualetti, P., Cassetta, E., Binetti, G., Dal Forno, G., Ferreri, F., Frisoni, G., Chiovenda, P., Miniussi, C., et al. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2006.08.049 · Cited by 281 · see citing works
Self-citationNeuropsychological features of mild cognitive impairment and preclinical Alzheimer's disease
Arnáiz, E., & Almkvist, O. (2003) · Acta Neurologica Scandinavica · doi:10.1034/j.1600-0404.107.s179.7.x · Cited by 279 · see citing works
Bartolomei, F., Bosma, I., Klein, M., Baayen, J. C., Reijneveld, J. C., Postma, T. J., Heimans, J. J., van Dijk, B. W., de Munck, J. C., de Jongh, A., et al. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.05.018 · Cited by 276 · see citing works
The Correction of Eye Blink Artefacts in the EEG: A Comparison of Two Prominent Methods
Hoffmann, S. F., & Falkenstein, M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003004 · Cited by 261 · see citing works
Wahlund, L. (2000) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.69.5.630 · Cited by 257 · see citing works
Questionable Dementia: Clinical Course and Predictors of Outcome
Devanand, D. P., Folz, M., Gorlyn, M., Moeller, J. R., & Stern, Y. (1997) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1997.tb00947.x · Cited by 239 · see citing works
Pascual-Marqui, R. D. (2007) · arXiv (Cornell University) · doi:10.48550/arxiv.0711.1455 · Cited by 216 · see citing works
Disrupted Small-World Brain Networks in Moderate Alzheimer's Disease: A Resting-State fMRI Study
Zhao, X., Liu, Y., Wang, X., Liu, B., Xi, Q., Guo, Q., Jiang, H., Jiang, T., & Wang, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033540 · Cited by 215 · see citing works
Blennow, K., Bogdanović, N., Alafuzoff, I. I., Ekman, R., & Davidsson, P. (1996) · Journal of Neural Transmission · doi:10.1007/bf01273157 · Cited by 207 · see citing works
Very Mild Senile Dementia of the Alzheimer Type
Rubin, E. H. (1989) · Archives of Neurology · doi:10.1001/archneur.1989.00520400033016 · Cited by 199 · see citing works
Li, Y., Wang, Y., Guorong Wu, A., Shi, F., Zhou, L., Lin, W., & Shen, D. G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.11.008 · Cited by 199 · see citing works
Reflections on the Topics: EEG Frequency Bands and Regulation of Vigilance
Kubicki, S., Herrmann, W. M., Fichte, K., & Freund, G. (1979) · Pharmacopsychiatry · doi:10.1055/s-0028-1094615 · Cited by 184 · see citing works
Lehmann, D., Faber, P. L., Tei, S., Pascual-Marqui, R. D., Milz, P., & Kochi, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.042 · Cited by 150 · see citing works
Zaudig, M. (1992) · International Psychogeriatrics · doi:10.1017/s1041610292001273 · Cited by 146 · see citing works
D’Amelio, M., & Rossini, P. M. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.07.001 · Cited by 144 · see citing works
Self-citationReorganization of Functional Networks in Mild Cognitive Impairment
Buldú, J. M., Bajo, R., Maestú, F., Castellanos, N. P., Leyva, I., Gil, P., Sendiña–Nadal, I., Almendral, J. A., Nevado, Á., del Pozo, F., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019584 · Cited by 139 · see citing works
Cao, C., & Slobounov, S. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2027704 · Cited by 138 · see citing works
Electroencephalography of the Elderly
Klass, D. W., & Brenner, R. P. (1995) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199503000-00002 · Cited by 135 · see citing works
Mapping the Alzheimer’s Brain with Connectomics
Xie, T., & Yong He, A. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00077 · Cited by 127 · see citing works
Formaggio, E., Storti, S. F., Galazzo, I. B., Gandolfi, M., Geroin, C., Smania, N., Spezia, L., Waldner, A., Fiaschi, A., & Manganotti, P. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-24 · Cited by 123 · see citing works
Shu, N., Liang, Y., Li, H., Zhang, J., Li, X., Wang, L. Y., Yong He, A., Wang, Y., & Zhang, Z. (2012) · Radiology · doi:10.1148/radiol.12112361 · Cited by 122 · see citing works
Dujardin, K., Bourriez, J. L., & Guieu, J. D. (1995) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(94)00284-l · Cited by 78 · see citing works
Çiftçi, K. (2011) · Annals of Biomedical Engineering · doi:10.1007/s10439-011-0258-9 · Cited by 75 · see citing works
Babiloni, C., Vecchio, F., Mirabella, G., Buttiglione, M., Sebastiano, F., Picardi, A., Gennaro, G. D., Quarato, P. P., Grammaldo, L. G., Buffo, P., et al. (2008) · Human Brain Mapping · doi:10.1002/hbm.20648 · Cited by 69 · see citing works
Self-citationThree-Word Recall in Normal Aging
Chandler, M. J., Lacritz, L. H., Cicerello, A. R., Chapman, S. B., Honig, L. S., Weiner, M., & Cullum, C. M. (2004) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390490515540 · Cited by 53 · see citing works
The Predementia Diagnosis of Alzheimer Disease
Frisoni, G. B., Padovani, A., & Wahlund, L. (2004) · Alzheimer Disease & Associated Disorders · doi:10.1097/01.wad.0000126613.05674.0c · Cited by 51 · see citing works
Event-Related Desynchronization (ERD) patterns during verbal memory tasks: effect of age
Dujardin, K., Bourriez, J. L., & Guieu, J. D. (1994) · International Journal of Psychophysiology · doi:10.1016/0167-8760(94)90038-8 · Cited by 44 · see citing works
Jack, C. E., Berezovska, O., Wolfe, M. S., & Hyman, B. T. (2001) · Molecular Brain Research · doi:10.1016/s0169-328x(01)00010-9 · Cited by 26 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Modern network science of neurological disorders
Stam, C. J. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3801 · Cited by 1,284 · see citing works
Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment
Cassani, R., Estarellas, M., San-Martin, R., Fraga, F. J., & Falk, T. H. (2018) · Disease Markers · doi:10.1155/2018/5174815 · Cited by 388 · see citing works
Oddo, C. M., Raspopović, S., Artoni, F., Mazzoni, A., Spigler, G., Petrini, F. M., Giambattistelli, F., Vecchio, F., Miraglia, F., Zollo, L., et al. (2016) · eLife · doi:10.7554/elife.09148 · Cited by 328 · see citing works
Self-citationRossini, P. M., Iorio, R. D., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M., Bruni, A. C., Cappa, S. F., Escudero, J., Fraga, F. J., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.03.003 · Cited by 239 · see citing works
Self-citationThe contribution of TMS–EEG coregistration in the exploration of the human cortical connectome
Bortoletto, M., Veniero, D., Thut, G., & Miniussi, C. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.12.014 · Cited by 223 · see citing works
Synaptic Plasticity Shapes Brain Connectivity: Implications for Network Topology
Bassi, M. S., Iezzi, E., Gilio, L., Centonze, D., & Buttari, F. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20246193 · Cited by 209 · see citing works
Connectome: Graph theory application in functional brain network architecture
Vecchio, F., Miraglia, F., & Rossini, P. M. (2017) · Clinical Neurophysiology Practice · doi:10.1016/j.cnp.2017.09.003 · Cited by 198 · see citing works
Self-citationIshii, R., Canuet, L., Aoki, Y., Hata, M., Iwase, M., Ikeda, S., Nishida, K., & Ikeda, M. (2017) · Neuropsychobiology · doi:10.1159/000486870 · Cited by 195 · see citing works
Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology
Hampel, H. J., (APMI), F. T. A. P. M. I., Toschi, N., Babiloni, C., Baldacci, F., Black, K. L., Bokde, A. L. W., Bun, R. S., Cacciola, F., Cavedo, E., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179932 · Cited by 181 · see citing works
Methods for analysis of brain connectivity: An IFCN-sponsored review
Rossini, P. M., Iorio, R. D., Bentivoglio, M., Bertini, G., Ferreri, F., Gerloff, C. P., Ilmoniemi, R. J., Miraglia, F., Nitsche, M. A., Pestilli, F., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.06.006 · Cited by 165 · see citing works
Self-citationYu, M., Engels, M. M. A., Hillebrand, A., van Straaten, E. C. W., Gouw, A. A., Teunissen, C. E., van der Flier, W. M., Scheltens, P., & Stam, C. J. (2017) · Brain · doi:10.1093/brain/awx050 · Cited by 157 · see citing works
Miraglia, F., Vecchio, F., Bramanti, P., & Rossini, P. M. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.07.040 · Cited by 150 · see citing works
Self-citationGouw, A. A., Alsema, A. M., Tijms, B. M., Borta, A., Scheltens, P., Stam, C. J., & van der Flier, W. M. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.05.017 · Cited by 147 · see citing works
Vecchio, F., Miraglia, F., Quaranta, D., Granata, G., Romanello, R., Marra, C., Bramanti, P., & Rossini, P. M. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.12.036 · Cited by 124 · see citing works
Self-citationHuman brain connectivity: Clinical applications for clinical neurophysiology
Hallett, M., de Haan, W., Deco, G., Dengler, R., Iorio, R. D., Galléa, C., Gerloff, C. P., Grefkes, C., Helmich, R. C. G., Kringelbach, M. L., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.03.031 · Cited by 118 · see citing works
Self-citationVecchio, F., Miraglia, F., Piludu, F., Granata, G., Romanello, R., Caulo, M., Onofrj, V., Bramanti, P., Colosimo, C., & Rossini, P. M. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9528-3 · Cited by 116 · see citing works
Self-citationVecchio, F., Miraglia, F., Bramanti, P., & Rossini, P. M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140090 · Cited by 110 · see citing works
Self-citationLi, R., Nguyen, T. P., Potter, T. B. H., & Zhang, Y. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.101622 · Cited by 110 · see citing works
Small-World Characteristics of Cortical Connectivity Changes in Acute Stroke
Caliandro, P., Vecchio, F., Miraglia, F., Reale, G., Marca, G. D., Torre, G. L., Lacidogna, G., Iacovelli, C., Padua, L., Bramanti, P., et al. (2016) · Neurorehabilitation and neural repair · doi:10.1177/1545968316662525 · Cited by 105 · see citing works
Self-citationAlpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis
Lejko, N., Larabi, D. I., Herrmann, C. S., Aleman, A., & Ćurĉić‐Blake, B. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200962 · Cited by 105 · see citing works
Vecchio, F., Tomino, C., Miraglia, F., Iodice, F., Erra, C., Iorio, R. D., Judica, E., Alù, F., Fini, M., & Rossini, P. M. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.09.012 · Cited by 96 · see citing works
Self-citationRossini, P. M., Miraglia, F., & Vecchio, F. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12645 · Cited by 93 · see citing works
Self-citationSearching for signs of aging and dementia in EEG through network analysis
Miraglia, F., Vecchio, F., & Rossini, P. M. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.09.057 · Cited by 91 · see citing works
Self-citationVecchio, F., Miraglia, F., Iberite, F., Lacidogna, G., Guglielmi, V., Marra, C., Pasqualetti, P., Tiziano, F. D., & Rossini, P. M. (2018) · Annals of Neurology · doi:10.1002/ana.25289 · Cited by 89 · see citing works
Self-citationReduced integration and improved segregation of functional brain networks in Alzheimer’s disease
Kabbara, A., Eid, H., Falou, W. E., Khalil, M. A., Wendling, F., & Hassan, M. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaaa76 · Cited by 89 · see citing works
Yuan, W., Wade, S. L., & Babcock, L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22664 · Cited by 88 · see citing works
Measurement of Frontal Midline Theta Oscillations using OPM-MEG
Rhodes, N., Rea, M., Boto, E., Rier, L., Shah, V., Hill, R. M., Osborne, J., Doyle, C., Holmes, N., Coleman, S. C., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120024 · Cited by 87 · see citing works
Exercise-Related Changes of Networks in Aging and Mild Cognitive Impairment Brain
Huang, P., Fang, R., Li, B., & Chen, S. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00047 · Cited by 85 · see citing works
van Montfort, S. J. T., van Dellen, E., Stam, C. J., Ahmad, A., Mentink, L. J., Kraan, C. W., Zalesky, A., & Slooter, A. J. C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101809 · Cited by 83 · see citing works
Comparison of connectivity analyses for resting state EEG data
Olejarczyk, E., Marzetti, L., Pizzella, V., & Zappasodi, F. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa6401 · Cited by 78 · see citing works
Vecchio, F., Miraglia, F., Alù, F., Menna, M., Judica, E., Cotelli, M., & Rossini, P. M. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200171 · Cited by 74 · see citing works
Self-citationCortical connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory
Vecchio, F., Miraglia, F., Curcio, G., Marca, G. D., Vollono, C., Mazzucchi, E., Bramanti, P., & Rossini, P. M. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.09.019 · Cited by 70 · see citing works
Self-citationVecchio, F., Miraglia, F., Curcio, G., Altavilla, R., Scrascia, F., Giambattistelli, F., Quattrocchi, C. C., Bramanti, P., Vernieri, F., & Rossini, P. M. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142484 · Cited by 68 · see citing works
Self-citationMiraglia, F., Vecchio, F., Marra, C., Quaranta, D., Alù, F., Peroni, B., Granata, G., Judica, E., Cotelli, M., & Rossini, P. M. (2019) · International Journal of Neural Systems · doi:10.1142/s0129065720500045 · Cited by 63 · see citing works
Self-citationResting-state electroencephalographic biomarkers of Alzheimer’s disease
Cecchetti, G., Agosta, F., Basaia, S., Cividini, C., Cursi, M., Santangelo, R., Caso, F., Minicucci, F., Magnani, G., & Filippi, M. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102711 · Cited by 59 · see citing works
Cortical connectivity modulation during sleep onset: A study via graph theory on EEG data
Vecchio, F., Miraglia, F., Gorgoni, M., Ferrara, M., Iberite, F., Bramanti, P., Gennaro, L. D., & Rossini, P. M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23736 · Cited by 56 · see citing works
Self-citationSmall-worldness characteristics and its gender relation in specific hemispheric networks
Miraglia, F., Vecchio, F., Bramanti, P., & Rossini, P. M. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.09.028 · Cited by 55 · see citing works
Self-citationLi, R., Rui, G., Zhao, C., Wang, C., Fang, F. Z., & Zhang, Y. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2956464 · Cited by 53 · see citing works
Kocagöncü, E., Quinn, A. J., Firouzian, A., Cooper, E., Greve, A., Gunn, R. N., Green, G. G. R., Woolrich, M. W., Henson, R. N., Lovestone, S., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.03.009 · Cited by 54 · see citing works
Vecchio, F., Quaranta, D., Miraglia, F., Pappalettera, C., Iorio, R. D., L’Abbate, F., Cotelli, M., Marra, C., & Rossini, P. M. (2021) · GeroScience · doi:10.1007/s11357-021-00508-w · Cited by 52 · see citing works
Self-citationvan Straaten, E. C. W., Scheltens, P., Gouw, A. A., & Stam, C. J. (2014) · Alzheimer s Research & Therapy · doi:10.1186/s13195-014-0086-x · Cited by 52 · see citing works
Paitel, E. R., Otteman, C., Polking, M. C., Licht, H. J., & Nielson, K. A. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1496235 · Cited by 50 · see citing works
Naro, A., Corallo, F., Salvo, S. D., Marra, A., Lorenzo, G. D., Muscarà, N., Russo, M., Marino, S., Luca, R. D., Bramanti, P., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160305 · Cited by 49 · see citing works
Self-citationEEG-Based Neurohaptics Research: A Literature Review
Alsuradi, H., Park, W., & Eid, M. A. (2020) · IEEE Access · doi:10.1109/access.2020.2979855 · Cited by 49 · see citing works
Rossini, P. M., Miraglia, F., Alù, F., Cotelli, M., Ferreri, F., Iorio, R. D., Iodice, F., & Vecchio, F. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10020034 · Cited by 49 · see citing works
Self-citationFunctional changes in brain oscillations in dementia: a review
Giustiniani, A., Danesin, L., Bozzetto, B., Macina, A., Benavides‐Varela, S., & Burgio, F. (2022) · Reviews in the Neurosciences · doi:10.1515/revneuro-2022-0010 · Cited by 48 · see citing works
Vecchio, F., Caliandro, P., Reale, G., Miraglia, F., Piludu, F., Masi, G., Iacovelli, C., Simbolotti, C., Padua, L., Leone, E., et al. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.03.017 · Cited by 47 · see citing works
Self-citationMiraglia, 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
Self-citationGallego-Molina, N. J., Ortíz, A., Martínez-Murcia, F. J., Formoso, M. A., & de la Peña, A. G. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.108098 · Cited by 45 · see citing works
Michels, L., Muthuraman, M., Anwar, A. R., Kollias, S., Leh, S. E., Riese, F., Unschuld, P. G., Siniatchkin, M., Gietl, A. F., & Höck, C. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00304 · Cited by 45 · see citing works
Vecchio, F., Miraglia, F., Judica, E., Cotelli, M., Alù, F., & Rossini, P. M. (2020) · GeroScience · doi:10.1007/s11357-020-00176-2 · Cited by 45 · see citing works
Self-citationPerez‐Valero, E., López-Gordo, M. A., Morillas, C. A., Pelayo, F. J., & Vaquero‐Blasco, M. A. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201455 · Cited by 44 · see citing works
Zeng, K., Wang, Y., Ouyang, G., Bian, Z., Wang, L., & Xiaoli Li, A. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00133 · Cited by 44 · see citing works
Youssef, N., Xiao, S., Liu, M., Lian, H., Li, R., Chen, X., Zhang, W., Zheng, X., Li, Y., & Li, Y. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.698386 · Cited by 44 · see citing works
Vecchio, F., Miraglia, F., Alù, F., Orticoni, A., Judica, E., Cotelli, M., & Rossini, P. M. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210394 · Cited by 42 · see citing works
Self-citationBae, Y., Yoo, B. W., Lee, J. C., & Kim, H. C. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa6b4c · Cited by 41 · see citing works
Electroencephalography-Derived Sensory and Motor Network Topology in Multiple Sclerosis Fatigue
Vecchio, F., Miraglia, F., Porcaro, C., Cottone, C., Cancelli, A., Rossini, P. M., & Tecchio, F. (2016) · Neurorehabilitation and neural repair · doi:10.1177/1545968316656055 · Cited by 41 · see citing works
Self-citationLasaponara, S., Mauro, F., Carducci, F., Paoletti, P., Tombini, M., Quattrocchi, C. C., Mallio, C. A., Errante, Y., Scarciolla, L., & Ben‐Soussan, T. D. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00282 · Cited by 40 · see citing works
Vecchio, F., Iorio, R. D., Miraglia, F., Granata, G., Romanello, R., Bramanti, P., & Rossini, P. M. (2018) · Experimental Brain Research · doi:10.1007/s00221-018-5200-z · Cited by 38 · see citing works
Self-citationRossini, P. M., Cappa, S. F., Lattanzio, F., Perani, D., Spadin, P., Tagliavini, F., & Vanacore, N. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190670 · Cited by 36 · see citing works
Self-citationBlackburn, D. J., Zhao, Y., Marco, M. D., Bell, S., He, F., Wei, H., Lawrence, S., Unwin, Z., Blyth, M., Angel, J., et al. (2018) · Brain Sciences · doi:10.3390/brainsci8070134 · Cited by 35 · see citing works
Hill, A. T., Hadas, I., Zomorrodi, R., Voineskos, D., Farzan, F., Fitzgerald, P. B., Blumberger, D. M., & Daskalakis, Z. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-74103-y · Cited by 35 · see citing works
Vecchio, F., Pappalettera, C., Miraglia, F., Deinite, G., Manenti, R., Judica, E., Caliandro, P., & Rossini, P. M. (2022) · Stroke · doi:10.1161/strokeaha.122.040747 · Cited by 35 · see citing works
Self-citationEEG Source Imaging of Movement Decoding: The State of the Art and Future Directions
Handiru, V. S., Vinod, A. P., & Guan, C. (2018) · IEEE Systems Man and Cybernetics Magazine · doi:10.1109/msmc.2017.2778458 · Cited by 34 · see citing works
Wang, B., Li, P., Li, D., Niu, Y., Yan, T., Li, T., Cao, R., Yan, P., Guo, Y., Yang, W., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00316 · Cited by 34 · see citing works
Network substrates of cognitive impairment in Alzheimer’s Disease
Tait, L., Stothart, G., Coulthard, E. J., Brown, J. T., Kazanina, N., & Goodfellow, M. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.05.027 · Cited by 34 · see citing works
Fleck, J. I., Arnold, M. S., Dykstra, B., Casario, K., Douglas, E. A., & Morris, O. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00310 · Cited by 34 · see citing works
Cassani, R., & Falk, T. H. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2953475 · Cited by 34 · see citing works
Lazarou, I., Georgiadis, K., Nikolopoulos, S., Oikonomou, V. P., Tsolaki, A., Kompatsiaris, I. Y., Tsolaki, M., & Kugiumtzis, D. (2020) · Brain Sciences · doi:10.3390/brainsci10060392 · Cited by 33 · see citing works
Graph theory in paediatric epilepsy: A systematic review
Falsaperla, R., Vitaliti, G., Marino, S. D., Praticò, A. D., Mailo, J. A., Spatuzza, M., Cilio, M. R., Foti, R., & Ruggieri, M. (2021) · Dialogues in Clinical Neuroscience · doi:10.1080/19585969.2022.2043128 · Cited by 32 · see citing works
Danjou, P., Viardot, G., Maurice, D., Garcés, P., Wams, E. J., Phillips, K. G., Bertaina‐Anglade, V., McCarthy, A. P., & Pemberton, D. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.09.004 · Cited by 31 · see citing works
Vecchio, F., Pellicciari, M. C., Miraglia, F., Brignani, D., Miniussi, C., & Rossini, P. M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.051 · Cited by 29 · see citing works
Self-citationPeláez Suárez, A. A., Berrillo Batista, S., Pedroso Ibáñez, I., Casabona Fernández, E., Fuentes Campos, M., & Chacón, L. M. (2021) · Behavioral Sciences · doi:10.3390/bs11030040 · Cited by 27 · see citing works
Tanaka, M., Yamada, E., & Mori, F. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1486481 · Cited by 27 · see citing works
Vecchio, F., Miraglia, F., Quaranta, D., Lacidogna, G., Marra, C., & Rossini, P. M. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180342 · Cited by 27 · see citing works
Self-citationDuan, S., Liu, L., Li, G., Wang, J., Hu, Y., Zhang, W., Tan, Z., Jia, Z., Zhang, L., von Deneen, K. M., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.628880 · Cited by 27 · see citing works
Alpha rhythm and Alzheimer’s disease: Has Hans Berger’s dream come true?
Babiloni, C., Arakaki, X., Báez, S., Barry, R. J., Benussi, A., Blinowska, K. J., Bonanni, L., Borroni, B., Bosch‐Bayard, J., Bruno, G., et al. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.02.256 · Cited by 26 · see citing works
Self-citationRossini, P. M., Iorio, R. D., Granata, G., Miraglia, F., & Vecchio, F. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160482 · Cited by 25 · see citing works
Self-citationAltered resting-state EEG complexity in children with Tourette syndrome: A preliminary study.
Weng, W., Chang, C.-F., Wong, L., Lin, J., Lee, W., & Shieh, J.-S. (2017) · Neuropsychology · doi:10.1037/neu0000363 · Cited by 25 · see citing works
Han, Y., Wang, K., Jia, J., & Wei-ping, W. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00107 · Cited by 25 · see citing works
Beyond eloquence and onto centrality: a new paradigm in planning supratentorial neurosurgery
Ahsan, S. A., Chendeb, K., Briggs, R. G., Fletcher, L. R., Jones, R. G., Chakraborty, A. R., Nix, C. E., Jacobs, C. C., Lack, A. M., Griffin, D. T., et al. (2020) · Journal of Neuro-Oncology · doi:10.1007/s11060-019-03327-4 · Cited by 25 · see citing works
Characterization of network switching in disorder of consciousness at multiple time scales
Cai, L., Wei, X., Wang, J., Yi, G., Lu, M., & Dong, Y. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab79f5 · Cited by 25 · see citing works
Cortical Brain Connectivity and B-Type Natriuretic Peptide in Patients With Congestive Heart Failure
Vecchio, F., Miraglia, F., Valeriani, L., Scarpellini, M. G., Bramanti, P., Mecarelli, O., & Rossini, P. M. (2014) · Clinical EEG and Neuroscience · doi:10.1177/1550059414529765 · Cited by 23 · see citing works
Self-citationExpertise-related functional brain network efficiency in healthy older adults
Binder, J. C., Bezzola, L., Haueter, A. I. S., Klein, C., Kühnis, J., Baetschmann, H., & Jäncke, L. (2017) · BMC Neuroscience · doi:10.1186/s12868-016-0324-1 · Cited by 23 · see citing works
Vecchio, F., Miraglia, F., Alù, F., Judica, E., Cotelli, M., Pellicciari, M. C., & Rossini, P. M. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0824 · Cited by 23 · see citing works
Self-citationHöller, Y., Bathke, A. C., Uhl, A., Strobl, N., Lang, A., Bergmann, J., Nardone, R., Rossini, F., Zauner, H., Kirschner, M., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00290 · Cited by 22 · 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
Weighted Brain Network Analysis on Different Stages of Clinical Cognitive Decline
Abazid, M., Houmani, N., Dorizzi, B., Boudy, J., Mariani, J., & Kinugawa, K. (2022) · Bioengineering · doi:10.3390/bioengineering9020062 · Cited by 20 · see citing works
Resting-state electroencephalographic characteristics related to mild cognitive impairments
Kim, S., Shin, C., Yim, J., Seo, K., Ryu, H. B., Choi, H., Park, J., & Min, B. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1231861 · Cited by 20 · see citing works
Conti, A., Duggento, A., Guerrisi, M., Passamonti, L., Indovina, I., & Toschi, N. (2019) · Entropy · doi:10.3390/e21070661 · Cited by 19 · see citing works
Pre-seizure architecture of the local connections of the epileptic focus examined via graph-theory
Vecchio, F., Miraglia, F., Vollono, C., Fuggetta, F., Bramanti, P., Cioni, B., & Rossini, P. M. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.07.006 · Cited by 19 · see citing works
Self-citationThe neurophysiology of healthy and pathological aging: a comprehensive systematic review
Fernández‐Rubio, G., Vuust, P., Kringelbach, M. L., & Bonetti, L. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-03012-5 · Cited by 18 · see citing works
San-Martin, R., Johns, E. K., Mamani, G. Q., Tavares, G., Phillips, N. A., & Fraga, F. J. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102499 · Cited by 18 · see citing works
An Electrophysiological Biomarker That May Predict Treatment Response to ECT
Scangos, K. W., Weiner, R. D., Coffey, E. C., & Krystal, A. D. (2018) · Journal of Ect · doi:10.1097/yct.0000000000000557 · Cited by 18 · see citing works
tDCS effects on brain network properties during physiological aging
Vecchio, F., Miraglia, F., Rodella, C., Alù, F., Miniussi, C., Rossini, P. M., & Pellicciari, M. C. (2020) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-020-02428-8 · Cited by 18 · see citing works
Self-citationImprovement in the automatic classification of Alzheimer’s disease using EEG after feature selection
Tavares, G., San-Martin, R., Ianof, J. N., Anghinah, R., & Fraga, F. J. (2019) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2019.8914006 · Cited by 18 · see citing works
Complexity analysis from EEG data in congestive heart failure: A study via approximate entropy
Cacciotti, A., Pappalettera, C., Miraglia, F., Valeriani, L., Judica, E., Rossini, P. M., & Vecchio, F. (2023) · Acta Physiologica · doi:10.1111/apha.13979 · Cited by 17 · see citing works
Self-citationAmato, L. G., Vergani, A. A., Lassi, M., Fabbiani, C., Mazzeo, S., Burali, R., Nacmias, B., Sorbi, S., Mannella, R., Grippo, A., et al. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12526 · Cited by 17 · see citing works
Clinical and Instrumental Characterization of Patients With Late-Onset Epilepsy
DiFrancesco, J. C., Labate, A., Romoli, M., Chipi, E., Salvadori, N., Galimberti, C. A., Perani, D., Ferrarese, C., & Costa, C. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.851897 · Cited by 17 · see citing works
APOE ε4 and cognitive reserve effects on the functional network in the Alzheimer’s disease spectrum
Initiative, A. D. N., Li, T., Wang, B., Gao, Y., Wang, X., Yan, T., Xiang, J., Niu, Y., Liu, T., Chen, D., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00283-w · Cited by 16 · see citing works
- Authors
- Vecchio, F., Miraglia, F., Marra, C., Quaranta, D., Vita, M. G., Bramanti, P., & Rossini, P. M.
- Affiliations
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Università Cattolica del Sacro Cuore (IT)
- Centro Neurolesi Bonino Pulejo (IT)
- Corresponding author
- Vecchio, Fabrizio
- ORCID
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2014-06-04
- Volume
- 41
- Issue
- 1
- Pages
- 113-127
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W1488022810
- Cited by
- 182
- References
- 80
- Citations by year
- 2026: 4 · 2025: 19 · 2024: 12 · 2023: 10 · 2022: 22 · 2021: 17 · 2020: 18 · 2019: 16 · 2018: 16 · 2017: 15 · 2016: 15 · 2015: 10 · 2014: 7
- FWCI
- 8.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- IRIS eCampus Telematic University (Università degli Studi eCampus) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- Alzheimer's disease, mild cognitive impairment
- MeSH terms
- Aged, Alpha Rhythm, Alzheimer Disease, Brain, Brain Mapping, Cerebral Cortex, Delta Rhythm, Electroencephalography, Female, Humans, Male, Neural Pathways, Signal Processing, Computer-Assisted, Software, Theta Rhythm, Cognitive Dysfunction
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
