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Items: 1 to 20 of 100

1.

Functional connectome biotypes of chemotherapy-related cognitive impairment.

Kesler SR, Petersen ML, Rao V, Harrison RA, Palesh O.

J Cancer Surviv. 2020 Mar 10. doi: 10.1007/s11764-020-00863-1. [Epub ahead of print]

PMID:
32157609
2.

Effects of Acupuncture on Cancer-Related Cognitive Impairment in Chinese Gynecological Cancer Patients: A Pilot Cohort Study.

Zeng Y, Cheng ASK, Song T, Sheng X, Wang S, Xie J, Chan CCH.

Integr Cancer Ther. 2018 Sep;17(3):737-746. doi: 10.1177/1534735418777109. Epub 2018 May 26.

3.

Atypical Structural Connectome Organization and Cognitive Impairment in Young Survivors of Acute Lymphoblastic Leukemia.

Kesler SR, Gugel M, Huston-Warren E, Watson C.

Brain Connect. 2016 May;6(4):273-82. doi: 10.1089/brain.2015.0409. Epub 2016 Mar 29.

4.

Predicting Patient Reported Outcomes of Cognitive Function Using Connectome-Based Predictive Modeling in Breast Cancer.

Henneghan AM, Gibbons C, Harrison RA, Edwards ML, Rao V, Blayney DW, Palesh O, Kesler SR.

Brain Topogr. 2020 Jan;33(1):135-142. doi: 10.1007/s10548-019-00746-4. Epub 2019 Nov 19.

PMID:
31745689
5.

Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically-indicated scans.

Shiroishi MS, Gupta V, Bigjahan B, Cen SY, Rashid F, Hwang DH, Lerner A, Boyko OB, Liu CJ, Law M, Thompson PM, Jahanshad N.

Proc SPIE Int Soc Opt Eng. 2017 Oct;10572. pii: 105720G. doi: 10.1117/12.2285971. Epub 2017 Nov 17.

6.

Disrupted brain network functional dynamics and hyper-correlation of structural and functional connectome topology in patients with breast cancer prior to treatment.

Kesler SR, Adams M, Packer M, Rao V, Henneghan AM, Blayney DW, Palesh O.

Brain Behav. 2017 Feb 6;7(3):e00643. doi: 10.1002/brb3.643. eCollection 2017 Mar.

7.

Brain Structure Biomarkers in the Psychosis Biotypes: Findings From the Bipolar-Schizophrenia Network for Intermediate Phenotypes.

Ivleva EI, Clementz BA, Dutcher AM, Arnold SJM, Jeon-Slaughter H, Aslan S, Witte B, Poudyal G, Lu H, Meda SA, Pearlson GD, Sweeney JA, Keshavan MS, Tamminga CA.

Biol Psychiatry. 2017 Jul 1;82(1):26-39. doi: 10.1016/j.biopsych.2016.08.030. Epub 2016 Aug 31.

8.

Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning.

Abós A, Baggio HC, Segura B, García-Díaz AI, Compta Y, Martí MJ, Valldeoriola F, Junqué C.

Sci Rep. 2017 Mar 28;7:45347. doi: 10.1038/srep45347.

9.
10.

Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches.

Ji L, Meda SA, Tamminga CA, Clementz BA, Keshavan MS, Sweeney JA, Gershon ES, Pearlson GD.

Schizophr Res. 2020 Jan;215:430-438. doi: 10.1016/j.schres.2019.07.015. Epub 2019 Aug 19.

PMID:
31439419
11.

Altered resting state functional brain network topology in chemotherapy-treated breast cancer survivors.

Bruno J, Hosseini SM, Kesler S.

Neurobiol Dis. 2012 Dec;48(3):329-38. doi: 10.1016/j.nbd.2012.07.009. Epub 2012 Jul 20.

12.

Systematic review of cognitive sequelae of non-central nervous system cancer and cancer therapy.

Cerulla Torrente N, Navarro Pastor JB, de la Osa Chaparro N.

J Cancer Surviv. 2020 Mar 7. doi: 10.1007/s11764-020-00870-2. [Epub ahead of print] Review.

PMID:
32146576
13.

Predicting Long-Term Cognitive Outcome Following Breast Cancer with Pre-Treatment Resting State fMRI and Random Forest Machine Learning.

Kesler SR, Rao A, Blayney DW, Oakley-Girvan IA, Karuturi M, Palesh O.

Front Hum Neurosci. 2017 Nov 15;11:555. doi: 10.3389/fnhum.2017.00555. eCollection 2017.

14.

Modifiable factors and cognitive dysfunction in breast cancer survivors: a mixed-method systematic review.

Henneghan A.

Support Care Cancer. 2016 Jan;24(1):481-497. doi: 10.1007/s00520-015-2927-y. Epub 2015 Sep 29. Review.

PMID:
26416490
15.

Subcortical brain iron deposition and cognitive performance in older women with breast cancer receiving adjuvant chemotherapy: A pilot MRI study.

Chen BT, Ghassaban K, Jin T, Patel SK, Ye N, Sun CL, Kim H, Rockne RC, Mark Haacke E, Root JC, Saykin AJ, Ahles TA, Holodny AI, Prakash N, Mortimer J, Waisman J, Yuan Y, Somlo G, Li D, Yang R, Tan H, Katheria V, Morrison R, Hurria A.

Magn Reson Imaging. 2018 Dec;54:218-224. doi: 10.1016/j.mri.2018.07.016. Epub 2018 Aug 2.

16.

Hippocampal functional connectivity is related to self-reported cognitive concerns in breast cancer patients undergoing adjuvant therapy.

Apple AC, Schroeder MP, Ryals AJ, Wagner LI, Cella D, Shih PA, Reilly J, Penedo FJ, Voss JL, Wang L.

Neuroimage Clin. 2018 Jul 12;20:110-118. doi: 10.1016/j.nicl.2018.07.010. eCollection 2018.

17.

Chemotherapy-related cognitive impairment in older patients with cancer.

Loh KP, Janelsins MC, Mohile SG, Holmes HM, Hsu T, Inouye SK, Karuturi MS, Kimmick GG, Lichtman SM, Magnuson A, Whitehead MI, Wong ML, Ahles TA.

J Geriatr Oncol. 2016 Jul;7(4):270-80. doi: 10.1016/j.jgo.2016.04.008. Epub 2016 Jul 5. Review.

18.

Neurophysiologic and ophthalmic markers of chemotherapy-related cognitive impairment in patients diagnosed with hematologic cancer: A feasibility study.

Anderson DE, Kedar S, Bhatt VR, Schmid K, Holstein SA, Rizzo M.

J Neurol Sci. 2020 Mar 15;410:116644. doi: 10.1016/j.jns.2019.116644. Epub 2019 Dec 24.

PMID:
31901718
19.

Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

Henneghan AM, Palesh O, Harrison M, Kesler SR.

J Neuroimmunol. 2018 Jul 15;320:38-47. doi: 10.1016/j.jneuroim.2018.04.012. Epub 2018 Apr 19.

20.

Cancer-related cognitive impairment: an update on state of the art, detection, and management strategies in cancer survivors.

Lange M, Joly F, Vardy J, Ahles T, Dubois M, Tron L, Winocur G, De Ruiter MB, Castel H.

Ann Oncol. 2019 Dec 1;30(12):1925-1940. doi: 10.1093/annonc/mdz410.

PMID:
31617564

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