The electrical conductivity of human cerebrospinal fluid in vivo
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?
Inter-individual anatomical differences can affect response to tDCS due to differing amounts of current reaching cortical tissue.
“Furthermore, increasing evidence to suggests that inter-individual anatomical differences can affect response to tDCS due to differing amounts of current reaching cortical tissue.”
From Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial (2023) · cites this paper as [58]
Age-related brain atrophy results in a concomitant increase in cerebrospinal fluid, which has high conductivity compared to cortical tissue.
“For instance, age-related brain atrophy results in a concomitant increase in cerebrospinal fluid, which has high conductivity compared to cortical tissue [58].”
From Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial (2023) · cites this paper as [58]
Cites
Electrical conductivity of tissue at frequencies below 1 MHz
Gabriel, C., Peyman, A., & Grant, E. H. (2009) · Physics in Medicine and Biology · doi:10.1088/0031-9155/54/16/002 · Cited by 718 · see citing works
The electrical conductivity of human cerebrospinal fluid at body temperature
Baumann, S. B., Wozny, D. R., Kelly, S. K., & Meno, F. M. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.554770 · Cited by 494 · see citing works
Cerebrospinal fluid and lumbar puncture: a practical review
Wright, B. L. C., Lai, J. T. F., & Sinclair, A. J. (2012) · Journal of Neurology · doi:10.1007/s00415-012-6413-x · Cited by 249 · see citing works
The specific impedance of the dorsal columns of cat: An anisotropic medium
Ranck, J. B., & BeMent, S. L. (1965) · Experimental Neurology · doi:10.1016/0014-4886(65)90059-2 · Cited by 191 · see citing works
Cerebrospinal Fluid Flow in the Normal and Hydrocephalic Human Brain
Linninger, A. A., Xenos, M. A., Zhu, D. C., Somayaji, M. R., Kondapalli, S., & Penn, R. D. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.886853 · Cited by 183 · see citing works
Conductivity of living intracranial tissues
Latikka, J., Kuurne, T., & Eskola, H. J. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/6/302 · Cited by 161 · see citing works
Self-citationInfluence of head models on EEG simulations and inverse source localizations
Ramon, C., Schimpf, P. H., & Haueisen, J. (2006) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-5-10 · Cited by 153 · see citing works
Predicting the electric field distribution in the brain for the treatment of glioblastoma
Miranda, P. C., Mekonnen, A., Salvador, R., & Basser, P. J. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/15/4137 · Cited by 131 · see citing works
THE ELECTRICAL CONDUCTIVITY OF ANIMAL TISSUES UNDER NORMAL AND PATHOLOGICAL CONDITIONS
Crile, G. W., Hosmer, H. R., & Rowland, A. F. (1922) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1922.60.1.59 · Cited by 104 · see citing works
Role of Soft Bone, CSF and Gray Matter in EEG Simulations
Ramon, C., Schimpf, P. H., Haueisen, J., Holmes, M., & Ishimaru, A. (2004) · Brain Topography · doi:10.1023/b:brat.0000032859.68959.76 · Cited by 91 · see citing works
The Influence of CSF on EEG Sensitivity Distributions of Multilayered Head Models
Wendel, K. E., Narra, N., Hannula, M., Kauppinen, P., & Malmivuo, J. A. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.912427 · Cited by 70 · see citing works
Uitert, R. V., Johnson, C. R., & Евгеньевич, Ж. Л. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.836490 · Cited by 47 · see citing works
The conductivity of brain tissues: comparison of results in vivo and in vitro measurements
Latikka, J., Hyttinen, J., Kuurne, T., Eskola, H. J., & Malmivuo, J. A. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2001.1019092 · Cited by 28 · see citing works
Self-citationLocating Human Cerebral Structures by the Impedance Method
Laitinen, L. V., & Johansson, G. G. (2007) · Confinia Neurologica · doi:10.1159/000103706 · Cited by 22 · see citing works
Johansson, J., Loyd, D., Wårdell, K., & Wren, J. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/009 · Cited by 9 · see citing works
Cerebrospinal Fluid Glycoproteins in Diseases of the Central Nervous System
Dallos, E., Oberman, Z., Herzberg, M., & Streifler, M. (2007) · Confinia Neurologica · doi:10.1159/000103673 · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Inter-Subject Variability of Skull Conductivity and Thickness in Calibrated Realistic Head Models
Antonakakis, M., Schrader, S., Aydın, Ü., Khan, A., Groß, J., Zervakis, M., Rampp, S., & Wolters, C. H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117353 · Cited by 100 · see citing works
Yang, P., Liu, Z., Qin, S., Hu, J., Yuan, S., Wang, Z. L., & Chen, X. (2024) · Science Advances · doi:10.1126/sciadv.adr9139 · Cited by 64 · see citing works
Non-Equilibrium ϕ4 Theory in a Hierarchy: Towards Manipulating Holograms in Quantum Brain Dynamics
Nishiyama, A., Tanaka, S., & Tuszyński, J. A. (2023) · Dynamics · doi:10.3390/dynamics3010001 · Cited by 15 · see citing works
Hausman, H. K., Alexander, G. E., Cohen, R., Marsiske, M., DeKosky, S. T., Hishaw, G. A., O'Shea, A., Kraft, J. N., Dai, Y., Wu, S., et al. (2023) · Brain Stimulation · doi:10.1016/j.brs.2023.05.021 · Cited by 13 · see citing works
What do intracerebral electrodes measure?
von Ellenrieder, N., Khoo, H. M., Dubeau, F., & Gotman, J. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.02.012 · Cited by 13 · see citing works
Modulation of Tumor-Treating Fields by Cerebral Edema from Brain Tumors
Lok, E., Clark, M. M., Liang, O., Malik, T., Koo, S., & Wong, E. T. (2022) · Advances in Radiation Oncology · doi:10.1016/j.adro.2022.101046 · Cited by 12 · see citing works
Culpepper, J., Lee, H., Santorelli, A., & Porter, E. (2023) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/ad0adf · Cited by 11 · see citing works
Lim, J., Wang, P. T., Pu, H., Liu, C. Y., Kellis, S., Andersen, R. A., Heydari, P., Do, A. H., & Nenadić, Z. (2019) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2019.8716961 · Cited by 9 · see citing works
Rogers, N., Thunemann, M., Devor, A., & Gilja, V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00763 · Cited by 7 · see citing works
Zarrin, D., Jafari, M., Kim, W. B., & Colby, G. P. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1339831 · Cited by 6 · see citing works
Transient dynamics of pressure-driven encroachment in narrow conduits with rate-dependent body force
Azese, M. N., Nsoga, V. N., Mvondo, B. J. A., Makinde, O. D., Batjom, G. B., & Kouaji, H. S. (2022) · Physics of Fluids · doi:10.1063/5.0129864 · Cited by 6 · see citing works
Lee, H., Culpepper, J., & Porter, E. (2024) · Physiological Measurement · doi:10.1088/1361-6579/ad252c · Cited by 5 · see citing works
Collavini, S., Pérez, J. J., BERJANO, E. J., Fernández-Corazza, M., Oddo, S. A., & Irastorza, R. M. (2024) · International Journal of Hyperthermia · doi:10.1080/02656736.2024.2364721 · Cited by 3 · see citing works
Viscoelastic liquid flow dynamics in small porous-medium channels under pressure and velocity forces
Batjom, G. B., Nsoga, V. N., Hona, J., & Azese, M. N. (2024) · Physics of Fluids · doi:10.1063/5.0238964 · Cited by 3 · see citing works
Electroconductivity of Saliva as a Diagnostic Tool for Dry Eye Disease: A Case-Control Study
Chen, Y.-K., Lai, C., Wu, W.-C., Wang, C.-X., Lin, K., Chen, N.-N., Yang, J., & Wu, P.-L. (2025) · Translational Vision Science & Technology · doi:10.1167/tvst.14.8.2 · Cited by 2 · see citing works
- Authors
- Latikka, J., & Eskola, H.
- Affiliations
- Tampere University of Technology (FI)
- Corresponding author
- Latikka, Juha
- Venue
- IFMBE Proceedings
- Publisher
- Springer Nature Singapore
- Published
- 2018-05-30
- Pages
- 773-776
- ISSN
- 1433-9277 (ISSN-L)
- 1680-0737
- OpenAlex
- W2809756860
- Cited by
- 15
- References
- 16
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 1
- FWCI
- 4.74
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- cerebrospinal fluid, electrical conductivity, needle electrode, brain tumor surgery, meningioma, glioma, volume conductor model, current distribution, blood contamination
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