Abel, T. J., Manzel, K., Bruss, J., Belfi, A. M., Iii, M. A. H., & Tranel, D. (2016). The cognitive and behavioral effects of meningioma lesions involving the ventromedial prefrontal cortex. Journal of Neurosurgery. https://doi.org/10.3171/2015.5.JNS142788.

Article  PubMed  Google Scholar 

Ahmeti, H., Caliebe, A., Röcken, C., Jansen, O., Mehdorn, M. H., & Synowitz, M. (2023). Impact of peritumoral brain edema on pre- and postoperative clinical conditions and on long-term outcomes in patients with intracranial meningiomas. European Journal of Medical Research, 28(1), 40. https://doi.org/10.1186/s40001-022-00962-y.

Article  PubMed Central  PubMed  Google Scholar 

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications, Inc.

Alexander, M. P., & Stuss, D. T. (2000). Disorders of frontal lobe functioning. Seminars in Neurology, 20(4), 427–437. https://doi.org/10.1055/s-2000-13175.

Article  CAS  PubMed  Google Scholar 

Benjamini, Y., & Hochberg, Y. (1995). Controlling the false Discovery rate: A practical and powerful Approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological). https://doi.org/10.1111/j.2517-6161.1995.tb02031.x.

Article  Google Scholar 

Bommakanti, K., Somayajula, S., Suvarna, A., Purohit, A. K., Mekala, S., Chadalawadi, S. K., & Gaddamanugu, P. (2016). Pre-operative and post-operative cognitive deficits in patients with supratentorial meningiomas. Clinical Neurology and Neurosurgery. https://doi.org/10.1016/j.clineuro.2016.02.033.

Article  PubMed  Google Scholar 

Box, G. E. P., & Tidwell, P. W. (1962). Transformation of the independent variables. Technometrics. https://doi.org/10.1080/00401706.1962.10490038.

Article  Google Scholar 

De Baene, W., Rijnen, S. J. M., Gehring, K., Meskal, I., Rutten, G. J. M., & Sitskoorn, M. M. (2019). Lesion symptom mapping at the regional level in patients with a meningioma. Neuropsychology. https://doi.org/10.1037/neu0000490.

Article  PubMed  Google Scholar 

Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750.

Article  PubMed  Google Scholar 

Dijkstra, M., Van Nieuwenhuizen, D., Stalpers, L. J. A., Wumkes, M., Waagemans, M., Vandertop, W. P., Heimans, J. J., Leenstra, S., Dirven, C. M., Reijneveld, J. C., & Klein, M. (2009). Late neurocognitive sequelae in patients with WHO grade I meningioma. Journal of Neurology Neurosurgery and Psychiatry. https://doi.org/10.1136/jnnp.2007.138925.

Article  PubMed  Google Scholar 

Dripps, R. D. (1963). New classification of physical status. Anesthesiology. https://doi.org/10.1007/SpringerReference_222279.

Article  PubMed  Google Scholar 

Duffau, H. (2006). Brain plasticity: From pathophysiological mechanisms to therapeutic applications. Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia, 13(9), 885–897. https://doi.org/10.1016/j.jocn.2005.11.045.

Article  PubMed  Google Scholar 

Duffau, H. (2012). The frontal syndrome revisited: Lessons from electrostimulation mapping studies. In Cortex. https://doi.org/10.1016/j.cortex.2011.04.029.

Duffau, H. (2017). Hodotopy, neuroplasticity and diffuse gliomas. Neuro-Chirurgie, 63(3), 259–265. https://doi.org/10.1016/j.neuchi.2016.12.001.

Article  CAS  PubMed  Google Scholar 

Field, A. (2013). Discovering statistics using IBM SPSS statistics. In Statistics.

Fonov, V., Evans, A. C., Botteron, K., Almli, C. R., McKinstry, R. C., & Collins, D. L. (2011). Unbiased average age-appropriate atlases for pediatric studies. Neuroimage, 54(1), 313–327. https://doi.org/10.1016/j.neuroimage.2010.07.033.

Article  PubMed  Google Scholar 

Frati, A., Armocida, D., Arcidiacono, U. A., Pesce, A., D’Andrea, G., Cofano, F., Garbossa, D., & Santoro, A. (2022). Peritumoral Brain Edema in Relation to Tumor size is a variable that influences the risk of recurrence in intracranial meningiomas. Tomography (Ann Arbor Mich), 8(4), 1987–1996. https://doi.org/10.3390/tomography8040166.

Article  PubMed  Google Scholar 

Goldbrunner, R., Stavrinou, P., Jenkinson, M. D., Sahm, F., Mawrin, C., Weber, D. C., Preusser, M., Minniti, G., Lund-Johansen, M., Lefranc, F., Houdart, E., Sallabanda, K., Le Rhun, E., Nieuwenhuizen, D., Tabatabai, G., Soffietti, R., & Weller, M. (2021). EANO guideline on the diagnosis and management of meningiomas. Neuro-Oncology, 23(11), 1821–1834. https://doi.org/10.1093/neuonc/noab150.

Article  CAS  PubMed Central  PubMed  Google Scholar 

Gualtieri, C. T., & Johnson, L. G. (2006). Reliability and validity of a computerized neurocognitive test battery, CNS Vital Signs. Archives of Clinical Neuropsychology. https://doi.org/10.1016/j.acn.2006.05.007.

Article  PubMed  Google Scholar 

Gurkanlar, D., Er, U., Sanli, M., Ozkan, M., & Sekerci, Z. (2005). Peritumoral brain edema in intracranial meningiomas. Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia, 12(7), 750–753. https://doi.org/10.1016/j.jocn.2004.09.029.

Article  PubMed  Google Scholar 

Haider, S., Taphoorn, M. J. B., Drummond, K. J., & Walbert, T. (2021). Health-related quality of life in meningioma. Neuro-Oncology Advances, 3(1), vdab089. https://doi.org/10.1093/noajnl/vdab089.

Article  PubMed Central  PubMed  Google Scholar 

Hart, M. G., Ypma, R. J. F., Romero-Garcia, R., Price, S. J., & Suckling, J. (2016). Graph theory analysis of complex brain networks: New concepts in brain mapping applied to neurosurgery. Journal of Neurosurgery, 124(6), 1665–1678. https://doi.org/10.3171/2015.4.JNS142683.

Article  PubMed  Google Scholar 

Hendrix, P., Hans, E., Griessenauer, C. J., Simgen, A., Oertel, J., & Karbach, J. (2017). Neurocognitive status in patients with newly-diagnosed brain tumors in good neurological condition: The impact of tumor type, volume, and location. Clinical Neurology and Neurosurgery. https://doi.org/10.1016/j.clineuro.2017.03.009.

Article  PubMed  Google Scholar 

Hou, J., Kshettry, V. R., Selman, W. R., & Bambakidis, N. C. (2013). Peritumoral brain edema in intracranial meningiomas: The emergence of vascular endothelial growth factor–directed therapy. Neurosurgical Focus FOC, 35(6), E2. https://doi.org/10.3171/2013.8.FOCUS13301.

Article  Google Scholar 

Kang, M. J., Pyun, J. M., Baek, M. J., Hwang, K., Han, J. H., Park, Y. H., Kim, C. Y., & Kim, S. Y. (2020). Predictors of pre-operative cognitive impairment in meningioma patients over 60 years old. BMC Neurology, 20(1). https://doi.org/10.1186/s12883-020-01806-0.

Karakaş, S., Yalin, A., Irak, M., & Erzengin, O. U. (2002). Digit span changes from puberty to old age under different levels of education. Developmental Neuropsychology, 22(2), 423–453. https://doi.org/10.1207/S15326942DN2202_1.

Article  PubMed  Google Scholar 

Knecht, S., Deppe, M., Dräger, B., Bobe, L., Lohmann, H., Ringelstein, E. B., Henningsen, H., & Knecht, S. (2000). Language lateralization in healthy right-handers. In Brain (Vol. 123).

Koechlin, E., Ody, C., & Kouneiher, F. (2003). The architecture of cognitive control in the human prefrontal cortex. Science (New York N Y), 302(5648), 1181–1185. https://doi.org/10.1126/science.1088545.

Article  CAS  PubMed  Google Scholar 

Lezak, M. D., & Howieson, D. (2012). Neuropsychological assessment (5th ed.).

Liouta, E., Koutsarnakis, C., Liakos, F., & Stranjalis, G. (2016). Effects of intracranial meningioma location, size, and surgery on neurocognitive functions: A 3-year prospective study. Journal of Neurosurgery. https://doi.org/10.3171/2015.6.JNS1549.

Article  PubMed  Google Scholar 

Louis, D. N., Perry, A., Reifenberger, G., von Deimling, A., Figarella-Branger, D., Cavenee, W. K., Ohgaki, H., Wiestler, O. D., Kleihues, P., & Ellison, D. W. (2016). The 2016 World Health Organization Classification of Tumors of the Central Nervous System: A summary. Acta Neuropathologica. https://doi.org/10.1007/s00401-016-1545-1.

Article  PubMed Central  PubMed  Google Scholar 

Meskal, I., Gehring, K., van der Linden, S. D., Rutten, G. J. M., & Sitskoorn, M. M. (2015). Cognitive improvement in meningioma patients after surgery: Clinical relevance of computerized testing. Journal of Neuro-Oncology. https://doi.org/10.1007/s11060-014-1679-8.

Article  PubMed  Google Scholar 

Meskal, I., Gehring, K., Rutten, G. J. M., & Sitskoorn, M. M. (2016). Cognitive functioning in meningioma patients: a systematic review. In Journal of Neuro-Oncology, 128(2). https://doi.org/10.1007/s11060-016-2115-z.

Miyake, A., & Friedman, N. P. (2012). The Nature and Organization of Individual Differences in Executive Functions: Four general conclusions. Current Directions in Psychological Science, 21(1), 8–14. https://doi.org/10.1177/0963721411429458.

Article  PubMed Central  PubMed  Google Scholar 

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex frontal lobe tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734.

Article  CAS  PubMed  Google Scholar 

Murman, D. L. (2015). The impact of age on Cognition. Seminars in Hearing, 36(3), 111–121. https://doi.org/10.1055/s-0035-1555115.

Article  PubMed Central  PubMed  Google Scholar 

Ourselin, S., Roche, A., Subsol, G., Pennec, X., & Ayache, N. (2001). Reconstructing a 3D structure from serial histological sections. Image and Vision Computing, 19(1–2), 25–31. https://doi.org/10.1016/S0262-8856(00)00052-4.

Article  Google Scholar 

Picton, T. W., Stuss, D. T., Alexander, M. P., Shallice, T., Binns, M. A., & Gillingham, S. (2007). Effects of focal frontal lesions on response inhibition. Cerebral Cortex (New York N Y : 1991), 17(4), 826–838. https://doi.org/10.1093/cercor/bhk031.

Article  PubMed  Google Scholar 

Rijnen, S. J. M., Meskal, I., Bakker, M., De Baene, W., Rutten, G. J. M., Gehring, K., & Sitskoorn, M. M. (2019). Cognitive outcomes in meningioma patients undergoing surgery: Individual changes over time and predictors of late cognitive functioning. Neuro-Oncology. https://doi.org/10.1093/neuonc/noz039.

Article  PubMed Central  PubMed  Google Scholar 

Rijnen, S. J. M., Meskal, I., Emons, W. H. M., Campman, C. A. M., van der Linden, S. D., Gehring, K., & Sitskoorn, M. M. (2020). Evaluation of normative data of a widely used computerized neuropsychological battery: Applicability and effects of Sociodemographic Variables in a Dutch sample. Assessment. https://doi.org/10.1177/1073191117727346.

Article  PubMed  Google Scholar 

Schmand, B., Groenink, S. C., & Van Den Dungen, M. (2008). Letterfluency: Psychometric properties and Dutch normative data. Tijdschrift Voor Gerontologie En Geriatrie. https://doi.org/10.1007/bf03078128.