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Altered spatial patterns of intrinsic brain activity and cognitive decline in colorectal cancer survivors
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Network-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750
Uddin, L. Q., Clare Kelly, A. M., Biswal, B. B., Xavier Castellanos, F., & Milham, M. P. (2009) · Human Brain Mapping · doi:10.1002/hbm.20531 · Cited by 1,135
Is the rostro-caudal axis of the frontal lobe hierarchical?
Badre, D., & D'Esposito, M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2667 · Cited by 946
The default mode network in cognition: a topographical perspective
Smallwood, J., Bernhardt, B. C., Leech, R., Bzdok, D., Jefferies, E., & Margulies, D. S. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00474-4 · Cited by 935
Research works printed but not linked: 56
- Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023;73:233–54. https://doi.org/10.3322/caac.21772. · DOI · Paper page
- Morgan E, Arnold M, Gini A, Lorenzoni V, Cabasag CJ, Laversanne M, et al. Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN. Gut. 2023;72:338–44. https://doi.org/10.1136/gutjnl-2022-327736. · DOI · Paper page
- El-Shami K, Oeffinger KC, Erb NL, Willis A, Bretsch J, Pratt-Chapman ML, et al. American Cancer society colorectal cancer survivorship care guidelines. CA Cancer J Clin. 2015;65:428–55. https://doi.org/10.3322/caac.21286. · DOI · Paper page
- Vardy J, Dhillon HM, Pond GR, Rourke SB, Xu W, Dodd A, et al. Cognitive function and fatigue after diagnosis of colorectal cancer. Ann Oncol. 2014;25:2404–12. https://doi.org/10.1093/annonc/mdu448. · DOI
- Lange M, Joly F, Vardy J, Ahles T, Dubois M, Tron L, et al. Cancer-related cognitive impairment: an update on state of the art, detection, and management strategies in cancer survivors. Ann Oncol. 2019;30:1925–40. https://doi.org/10.1093/annonc/mdz410. · DOI · Paper page
- Vardy JL, Dhillon HM, Pond GR, Rourke SB, Bekele T, Renton C, et al. Cognitive function in patients with colorectal cancer who do and do not receive chemotherapy: a prospective, longitudinal, controlled study. J Clin Oncol. 2015;33:4085–92. https://doi.org/10.1200/JCO.2015.63.0905. · DOI · Paper page
- Biswal B, Yetkin FZ, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med. 1995;34:537–41. https://doi.org/10.1002/mrm.1910340409. · DOI · Paper page
- Zou Q-H, Zhu C-Z, Yang Y, Zuo X-N, Long X-Y, Cao Q-J, et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J Neurosci Methods. 2008;172:137–41. https://doi.org/10.1016/j.jneumeth.2008.04.012. · DOI · Paper page
- Chai X, Zhang R, Xue C, Li Z, Xiao W, Huang Q, et al. Altered patterns of the fractional amplitude of low-frequency fluctuation in drug-naive first-episode unipolar and bipolar depression. Front Psychiatry. 2020;11:587803. https://doi.org/10.3389/fpsyt.2020.587803. · DOI
- Wang Z, Yan C, Zhao C, Qi Z, Zhou W, Lu J, et al. Spatial patterns of intrinsic brain activity in mild cognitive impairment and Alzheimer’s disease: a resting‐state functional MRI study. Hum Brain Mapp. 2010;32:1720–40. https://doi.org/10.1002/hbm.21140. · DOI · Paper page
- Liu S, Guo Y, Ni J, Yin N, Li C, Pan X, et al. Chemotherapy-induced functional brain abnormality in colorectal cancer patients: a resting‐state functional magnetic resonance imaging study. Front Oncol. 2022;12: 900855. https://doi.org/10.3389/fonc.2022.900855. · DOI
- Xu Y, Ma Z, Chen J, Zhang H, Shen G, Huang G, et al. Resting-state brain function alteration in colorectal cancer patients. J Integr Neurosci. 2024;23: 151. https://doi.org/10.31083/j.jin2308151. · DOI · Paper page
- Benedict RHB, Schretlen D, Groninger L, Brandt J, Taylor & Francis. Hopkins verbal learning test—revised: normative data and analysis of inter-form and test–retest reliability. Clin Neuropsychol. 1998;12:43–55. https://doi.org/10.1076/clin.12.1.43.1726. · DOI · Paper page
- Ruff RM, Light RH, Parker SB, Levin HS. Benton controlled oral word association test: reliability and updated norms. Arch Clin Neuropsychol. 1996;11:329–38. · doi:10.1093/arclin/11.4.329 · Paper page
- Tombaugh TN. Trail making test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 2004;19:203–14. https://doi.org/10.1016/S0887-6177(03)00039-8. · DOI · Paper page
- Wagner LI, Sweet J, Butt Z, Lai JS, Cella D. Measuring patient self-reported cognitive function: development of the functional assessment of cancer therapy-cognitive function instrument. JSO. 2009;7:W32–9.
- Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The cognitive failures questionnaire (CFQ) and its correlates. Br J Clin Psychol. 1982;21:1–16. https://doi.org/10.1111/j.2044-8260.1982.tb01421.x. · DOI · Paper page
- Beck AT, Samson RA, Carbin MG. Psychometric properties of the Beck depression inventory: twenty-five years of evaluation. Clin Psychol Rev. 1988;8:77–100. · DOI · Paper page
- Nguyen JQ, Riddle T, Nguyen N, Chao S, Dutta D, Hill A, et al. Regional hyperconnectivity in the medial temporal lobes as a maladaptive mechanism for colorectal cancer-related cognitive decline. Sci Rep. 2025;15: 29954. https://doi.org/10.1038/s41598-025-15547-y. · DOI · Paper page
- Yan C-G, Wang X-D, Zuo X-N, Zang Y-F. DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics. 2016;14:339–51. https://doi.org/10.1007/s12021-016-9299-4. · DOI · Paper page
- Jenkinson M, Bannister P, Brady M, Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002;17:825–41. https://doi.org/10.1006/nimg.2002.1132. · DOI · Paper page
- Rolls ET, Huang C-C, Lin C-P, Feng J, Joliot M. Automated anatomical labelling atlas 3. Neuroimage. 2020;206: 116189. https://doi.org/10.1016/j.neuroimage.2019.116189. · DOI · Paper page
- Smith SM, Nichols TE. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage. 2009;44:83–98. https://doi.org/10.1016/j.neuroimage.2008.03.061. · DOI · Paper page
- Raichle ME. The brain’s default mode network. Annu Rev Neurosci. 2015;38:433–47. https://doi.org/10.1146/annurev-neuro-071013-014030. · DOI · Paper page
- Witt ST, van Ettinger-Veenstra H, Salo T, Riedel MC, Laird AR. What executive function network is that? An image-based meta-analysis of network labels. Brain Topogr. 2021;34:598–607. https://doi.org/10.1007/s10548-021-00847-z. · DOI
- Friederici AD. The brain basis of language processing: from structure to function. Physiol Rev. 2011;91:1357–92. https://doi.org/10.1152/physrev.00006.2011. · DOI · Paper page
- Corrigan JD, Hinkeldey NS. Relationships between Parts A and B of the Trail Making Test. J Clin Psychol. 1987;43:402–9. https://doi.org/10.1002/1097-4679(198707)43:4<402::AID-JCLP2270430411>3.0.CO;2-E. · doi:10.1002/1097-4679(198707)43:4<402::aid-jclp2270430411>3.0.co;2-e
- Veal BM, Scott SB, Jim HSL, Small BJ. Subjective cognition and memory lapses in the daily lives of breast cancer survivors: examining associations with objective cognitive performance, fatigue, and depressed mood. Psychooncology. 2023;32:1298–305. https://doi.org/10.1002/pon.6185. · DOI
- Jawabri KH, Sharma S. Physiology, cerebral cortex functions. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 [cited 2025 Sept 8]. http://www.ncbi.nlm.nih.gov/books/NBK538496/. Accessed 8 Sept 2025
- Sebastian R, Gomez Y, Leigh R, Davis C, Newhart M, Hillis AE. The roles of occipitotemporal cortex in reading, spelling, and naming. Cogn Neuropsychol. 2014;31:511–28. https://doi.org/10.1080/02643294.2014.884060. · DOI
- Patterson K, Nestor PJ, Rogers TT. Where do you know what you know? The representation of semantic knowledge in the human brain. Nat Rev Neurosci. 2007;8:976–87. https://doi.org/10.1038/nrn2277. · DOI · Paper page
- Aminoff EM, Kveraga K, Bar M. The role of the parahippocampal cortex in cognition. Trends Cogn Sci. 2013;17:379–90. https://doi.org/10.1016/j.tics.2013.06.009. · DOI · Paper page
- Vedaei F, Newberg AB, Alizadeh M, Muller J, Shahrampour S, Middleton D, et al. Resting-state functional MRI metrics in patients with chronic mild traumatic brain injury and their association with clinical cognitive performance. Front Hum Neurosci. 2021;15: 768485. https://doi.org/10.3389/fnhum.2021.768485. · DOI
- Eichenbaum H. A cortical–hippocampal system for declarative memory. Nat Rev Neurosci. 2000;1:41–50. https://doi.org/10.1038/35036213. · DOI · Paper page
- El-Baba RM, Schury MP. Neuroanatomy, frontal cortex. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 [cited 2025 Sept 8]. http://www.ncbi.nlm.nih.gov/books/NBK554483/. Accessed 8 Sept 2025
- Boisgueheneuc F, Levy R, Volle E, Seassau M, Duffau H, Kinkingnehun S, et al. Functions of the left superior frontal gyrus in humans: a lesion study. Brain. 2006;129:3315–28. https://doi.org/10.1093/brain/awl244. · DOI · Paper page
- Li W, Qin W, Liu H, Fan L, Wang J, Jiang T, et al. Subregions of the human superior frontal gyrus and their connections. Neuroimage. 2013;78:46–58. https://doi.org/10.1016/j.neuroimage.2013.04.011. · DOI · Paper page
- Gusnard DA, Akbudak E, Shulman GL, Raichle ME. Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci U S A. 2001;98:4259–64. https://doi.org/10.1073/pnas.071043098. · DOI · Paper page
- Euston DR, Gruber AJ, McNaughton BL. The role of medial prefrontal cortex in memory and decision making. Neuron. 2012;76:1057–70. https://doi.org/10.1016/j.neuron.2012.12.002. · DOI · Paper page
- Schurz M, Radua J, Aichhorn M, Richlan F, Perner J. Fractionating theory of mind: a meta-analysis of functional brain imaging studies. Neurosci Biobehav Rev. 2014;42:9–34. https://doi.org/10.1016/j.neubiorev.2014.01.009. · DOI · Paper page
- Eichenbaum H, Yonelinas AR, Ranganath C. The medial temporal lobe and recognition memory. Annu Rev Neurosci. 2007;30:123–52. https://doi.org/10.1146/annurev.neuro.30.051606.094328. · DOI · Paper page
- Yonelinas AP. The nature of recollection and familiarity: a review of 30 years of research. J Mem Lang. 2002;46:441–517. https://doi.org/10.1006/jmla.2002.2864. · DOI · Paper page
- Blumenfeld RS, Ranganath C. Prefrontal cortex and long-term memory encoding: an integrative review of findings from neuropsychology and neuroimaging. Neuroscientist. 2007;13:280–91. https://doi.org/10.1177/1073858407299290. · DOI · Paper page
- Simons JS, Spiers HJ. Prefrontal and medial temporal lobe interactions in long-term memory. Nat Rev Neurosci. 2003;4:637–48. https://doi.org/10.1038/nrn1178. · DOI · Paper page
- Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. A default mode of brain function. Proc Natl Acad Sci USA. 2001;98:676–82. https://doi.org/10.1073/pnas.98.2.676. · DOI · Paper page
- Andrews-Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL. Functional-anatomic fractionation of the brain’s default network. Neuron. 2010;65:550–62. https://doi.org/10.1016/j.neuron.2010.02.005. · DOI · Paper page
- Buckner RL, Andrews-Hanna JR, Schacter DL. The brain’s default network. Ann N Y Acad Sci. 2008;1124:1–38. https://doi.org/10.1196/annals.1440.011. · DOI · Paper page
- Stam CJ. Hub overload and failure as a final common pathway in neurological brain network disorders. Netw Neurosci. 2024;8:1–23. https://doi.org/10.1162/netn_a_00339. · DOI
- Wang Y, Li Q, Yao L, He N, Tang Y, Chen L, et al. Shared and differing functional connectivity abnormalities of the default mode network in mild cognitive impairment and Alzheimer’s disease. Cereb Cortex. 2024;34: bhae094. https://doi.org/10.1093/cercor/bhae094. · DOI
- Vincent JL, Kahn I, Snyder AZ, Raichle ME, Buckner RL. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. J Neurophysiol. 2008;100:3328–42. https://doi.org/10.1152/jn.90355.2008. · DOI · Paper page
- Davis N, Lee M, Lin AY, Lynch L, Monteleone M, Falzon L, et al. Post-operative cognitive function following general versus regional anesthesia, a systematic review. J Neurosurg Anesthesiol. 2014;26:369–76. https://doi.org/10.1097/ANA.0000000000000120. · doi:10.1097/ana.0000000000000120
- Brodier EA, Cibelli M. Postoperative cognitive dysfunction in clinical practice. BJA Educ. 2021;21:75–82. https://doi.org/10.1016/j.bjae.2020.10.004. · doi:10.1016/j.bjae.2020.10.004
- Abildstrom H, Rasmussen LS, Rentowl P, Hanning CD, Rasmussen H, Kristensen PA, et al. Cognitive dysfunction 1–2 years after non-cardiac surgery in the elderly. Acta Anaesthesiol Scand. 2000;44:1246–51. https://doi.org/10.1034/j.1399-6576.2000.441010.x. · DOI · Paper page
- Rebersek M. Gut microbiome and its role in colorectal cancer. BMC Cancer. 2021;21: 1325. https://doi.org/10.1186/s12885-021-09054-2. · DOI · Paper page
- Alpert O, Begun L, Issac T, Solhkhah R. The brain–gut axis in gastrointestinal cancers. J Gastrointest Oncol. 2021;12: S301–10. https://doi.org/10.21037/jgo-2019-gi-04. · DOI
- Morais LH, Schreiber HL, Mazmanian SK. The gut microbiota-brain axis in behaviour and brain disorders. Nat Rev Microbiol. 2021;19:241–55. https://doi.org/10.1038/s41579-020-00460-0. · DOI · Paper page
Metadata
- Authors
- Ellis, B., Nguyen, J. Q., Ray, I., Riddle, T., Hill, A., Yu, R., Rowland, K., & Shi, Z.
- Venue
- Journal of Cancer Survivorship
- Published
- 2026-01-21
- Volume
- 20
- Issue
- S2
- Pages
- 1424-1435
- ISSN
- 1932-2259
- 1932-2267
- Cited by
- 1
- References
- 4
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Funders
- Stephens Family Clinical Research Institute
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- Ellis, B., Nguyen, J. Q., Ray, I., Riddle, T., Hill, A., Yu, R., Rowland, K., & Shi, Z. (2026). Altered spatial patterns of intrinsic brain activity and cognitive decline in colorectal cancer survivors. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-025-01963-6
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