The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
How do brain tumors alter functional connectivity? A magnetoencephalography study
Abstract
Objective: This study was undertaken to test the hypothesis that brain tumors interfere with normal brain function by disrupting functional connectivity of brain networks. Methods: Functional connectivity was assessed by computing the synchronization likelihood in a broad band (0.5–60Hz) or in the gamma band (30–60Hz) between all pairwise combinations of magnetoencephalography signals. Magnetoencephalography recordings were made at rest in 17 brain tumor patients and 15 healthy control subjects. For a given threshold of synchronization likelihood values, graphs of the suprathreshold connections between each magnetoencephalography channel and the others channels were built. Results: In some regions, a variable number of channels without connectivity (missing connective points) at this threshold was found. The number of missing connective points was higher in patients with brain tumors than in control subjects (p < 0.0001, broad and gamma band) and was higher for left‐sided than right‐sided tumors (p = 0.008, broad band; p < 0.0001, gamma band). Individual results analysis indicates that the majority of brain tumor patients display several regions with missing connective point alterations in the affected and in the contralateral hemisphere. Interpretation: Our findings suggest that brain tumors induce a loss of functional connectivity that affects multiple brain regions, and that left side brain tumors have the more severe consequences in this respect. Ann Neurol 2005
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“Specific findings include reduced efficiency in patients with tumors in the frontal and temporal but not parietal lobes.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [9]
In the citing paper
“In general, brain networks in patients with tumors have been found to be more random and less organized, not just locally but in a diffuse manner.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [9]
In the citing paper
“network hubs were reorganized, with the right insula being a hub in controls but not in patients.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [9]
Citations
Cites
Oscillatory gamma activity in humans and its role in object representation
Tallon‐Baudry, C. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01299-1 · Cited by 2,205
Perception's shadow: long-distance synchronization of human brain activity
Rodriguez, E., George, N., Lachaux, J.-P., Martinerie, J., Renault, B., & Varela, F. J. (1999) · Nature · doi:10.1038/17120 · Cited by 1,915
Generalized synchronization of chaos in directionally coupled chaotic systems
Rulkov, N. F., Sushchik, M. M., Tsimring, L. S., & Abarbanel, H. D. I. (1995) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.51.980 · Cited by 1,803
The WHO classification of tumors of the nervous system
Kleihues, P., Louis, D. N., Scheithauer, B. W., Rorke, L. B., Reifenberger, G., Burger, P. C., & Cavenee, W. K. (2002) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/61.3.215 · Cited by 1,547
Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations
Lowe, M. J., Mock, B. J., & Sorenson, J. A. (1998) · NeuroImage · doi:10.1006/nimg.1997.0315 · Cited by 1,394
Neurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain
Salvador, R. M., John Suckling, A., Coleman, M. R., Pickard, J. D., Menon, D. K., & Bullmore, E. T. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi016 · Cited by 1,334
Quiroga, R. Q., Kraskov, A., Kreuz, T., & Grassberger, P. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.65.041903 · Cited by 844
Cognitive deficits in adult patients with brain tumours
TAPHOORN, M. J. B., & Klein, M. (2004) · The Lancet Neurology · doi:10.1016/s1474-4422(04)00680-5 · Cited by 780
Self-citationSynchronization between prefrontal and posterior association cortex during human working memory
Sarnthein, J., Petsche, H., Rappelsberger, P., Shaw, G. L., & von Stein, A. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.7092 · Cited by 716
Klein, M., Heimans, J. J., Aaronson, N. K., van der Ploeg, H. M., Grit, J., Muller, M. J., Postma, T. J., Mooij, J. J. A., Boerman, R. H., Beute, G. N., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)11398-5 · Cited by 646
Self-citation
Research works printed but not linked: 3
- Cover KS, A MEG measure of interhemispheric synchronization decrease in multiple sclerosis patients, Neuroimage
- Vrba J, 1999, Recent advances in biomagnetism, 93
- Bendat J, 1971, Random data: analysis and measurement procedures
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Grefkes, C., & Fink, G. R. (2011) · Brain · doi:10.1093/brain/awr033 · Cited by 670
Dynamic functional reorganization of the motor execution network after stroke
Wang, L. Y., Yu, C., Chen, H., Qin, W., Yong He, A., Fan, F., Zhang, Y., Wang, M., Li, K., Zang, Y., et al. (2010) · Brain · doi:10.1093/brain/awq043 · Cited by 656
The organization of physiological brain networks
Stam, C. J., & van Straaten, E. C. W. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.01.011 · Cited by 591
Self-citationThe application of graph theoretical analysis to complex networks in the brain
Reijneveld, J. C., Ponten, S. C., Berendse, H. W., & Stam, C. J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.08.010 · Cited by 520
Self-citationPonten, S. C., Bartoloméi, F., & Stam, C. J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.12.002 · Cited by 461
Self-citation
Metadata
- Authors
- 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., Cover, K. S., & Stam, C. J.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2005-12-22
- Volume
- 59
- Issue
- 1
- Pages
- 128-138
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2040080135
- Cited by
- 180
- References
- 39
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 8 · 2023: 9 · 2022: 6 · 2021: 9 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 13 · 2016: 9 · 2015: 10 · 2014: 10 · 2013: 12 · 2012: 14
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- brain tumors, functional connectivity, synchronization likelihood, gamma band, magnetoencephalography, brain network disruption, hemispheric lateralization, contralateral hemisphere
- MeSH terms
- Adult, Aged, Brain Neoplasms, Female, Humans, Male, Middle Aged, Nerve Net, Seizures, Magnetoencephalography
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