{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T18:58:40Z","timestamp":1767207520442,"version":"3.48.0"},"reference-count":46,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:00:00Z","timestamp":1767139200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>The aim of this study is to evaluate the changes of white matter microstructure in breast cancer patients before and after chemotherapy based on automated fiber quantification (AFQ),as well as determine if these dispersion indexes are significantly correlated with clinical data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>Twenty-four breast cancer patients scheduled for chemotherapy were enrolled. Diffusion tensor imaging (DTI), neuropsychological tests and self-report measures, and hematological tests were conducted before chemotherapy(time 0,T0) and within one week after chemotherapy(time 1,T1). AFQ was used to track 20 fiber tracts in the brain. The correlation between average abnormal tracts and changes in neuropsychological tests and self-report measures and blood indicators was analyzed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Compared to T0, subjects at T1 showed decreased scores on the verbal fluency test; increased scores on the self-rating anxiety scale(SAS)and self-rating depression scale (SDS). Estrogen concentration was lower while luteinizing hormone(LH), follicle-stimulating hormone, and triglyceride levels were higher. Mean fractional anisotropy (FA) value decreased in the right cingulum cingulate(CGC)while mean radial diffusivity (RD) increased in the right CGC; mean axial diffusivity (AD) value decreased in callosum forceps major and callosum forceps minor. Changes in FA with in the right CGC were positively correlated with changes in SDS and LH, while changes in RD with in the right CGC were negatively correlated with changes in SDS and LH.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Early changes observed in brain white matter fiber tracts, along with persistent hormone and triglyceride metabolism disorders, could potentially serve as neurobiological markers for monitoring chemotherapy-induced cognitive impairment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0339924","type":"journal-article","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T18:51:16Z","timestamp":1767207076000},"page":"e0339924","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Correlation study of brain function changes after chemotherapy in breast cancer patients by automated fiber quantification based on diffusion tensor imaging"],"prefix":"10.1371","volume":"20","author":[{"given":"Yun","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8496-6404","authenticated-orcid":true,"given":"Haifei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2025,12,31]]},"reference":[{"key":"pone.0339924.ref001","doi-asserted-by":"crossref","first-page":"1199605","DOI":"10.3389\/fmed.2023.1199605","article-title":"Neuroimaging based biotypes for precision diagnosis and prognosis in cancer-related cognitive impairment","volume":"10","author":"SR Kesler","year":"2023","journal-title":"Front Med (Lausanne)"},{"key":"pone.0339924.ref002","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1146\/annurev-clinpsy-050817-084903","article-title":"Cognitive Effects of Cancer and Cancer Treatments","volume":"14","author":"TA Ahles","year":"2018","journal-title":"Annu Rev Clin Psychol"},{"issue":"3","key":"pone.0339924.ref003","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1007\/s11065-020-09441-9","article-title":"The Developmental Trajectory of Cancer-Related Cognitive Impairment in Breast Cancer Patients: A Systematic Review of Longitudinal Neuroimaging Studies","volume":"30","author":"H Sousa","year":"2020","journal-title":"Neuropsychol Rev"},{"issue":"12","key":"pone.0339924.ref004","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1093\/annonc\/mdz410","article-title":"Cancer-related cognitive impairment: an update on state of the art, detection, and management strategies in cancer survivors","volume":"30","author":"M Lange","year":"2019","journal-title":"Ann Oncol"},{"key":"pone.0339924.ref005","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.nicl.2018.07.010","article-title":"Hippocampal functional connectivity is related to self-reported cognitive concerns in breast cancer patients undergoing adjuvant therapy","volume":"20","author":"AC Apple","year":"2018","journal-title":"Neuroimage Clin"},{"issue":"5","key":"pone.0339924.ref006","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1007\/s11682-019-00067-x","article-title":"Postchemotherapy hippocampal functional connectivity patterns in patients with breast cancer: a longitudinal resting state functional MR imaging study","volume":"14","author":"Y Feng","year":"2020","journal-title":"Brain Imaging Behav"},{"key":"pone.0339924.ref007","doi-asserted-by":"crossref","first-page":"3661","DOI":"10.2352\/ISSN.2470-1173.2020.11.HVEI-366","article-title":"Differences in the major fiber-tracts of people with congenital and acquired blindness","volume":"2020","author":"KEM Tregillus","year":"2020","journal-title":"IS&T Int Symp Electron Imaging"},{"issue":"12","key":"pone.0339924.ref008","doi-asserted-by":"crossref","first-page":"1668","DOI":"10.3390\/brainsci12121668","article-title":"Altered White Matter Microstructure in Herpes Zoster and Postherpetic Neuralgia Determined by Automated Fiber Quantification","volume":"12","author":"Y Wu","year":"2022","journal-title":"Brain Sci"},{"key":"pone.0339924.ref009","doi-asserted-by":"crossref","first-page":"570123","DOI":"10.3389\/fnins.2020.570123","article-title":"Aberrant White Matter Microstructure as a Potential Diagnostic Marker in Alzheimer\u2019s Disease by Automated Fiber Quantification","volume":"14","author":"H Chen","year":"2020","journal-title":"Front Neurosci"},{"key":"pone.0339924.ref010","article-title":"Brain white matter microstructural changes in chemotherapy-treated older long-term breast cancer survivors. Cancer Med","author":"E Daniel","year":"December 28, 2023","journal-title":"Published online"},{"issue":"2","key":"pone.0339924.ref011","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1007\/s11682-021-00551-3","article-title":"Focal white matter microstructural alteration after anthracycline-based systemic treatment in long-term breast cancer survivors: a structural magnetic resonance imaging study","volume":"16","author":"H Zhang","year":"2022","journal-title":"Brain Imaging Behav"},{"issue":"3","key":"pone.0339924.ref012","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1002\/hbm.21033","article-title":"Chemotherapy-induced structural changes in cerebral white matter and its correlation with impaired cognitive functioning in breast cancer patients","volume":"32","author":"S Deprez","year":"2011","journal-title":"Hum Brain Mapp"},{"issue":"3","key":"pone.0339924.ref013","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1200\/JCO.2011.36.8571","article-title":"Longitudinal assessment of chemotherapy-induced structural changes in cerebral white matter and its correlation with impaired cognitive functioning","volume":"30","author":"S Deprez","year":"2012","journal-title":"J Clin Oncol"},{"issue":"2","key":"pone.0339924.ref014","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1007\/s11682-017-9695-x","article-title":"Changes in brain white matter integrity after systemic treatment for breast cancer: a prospective longitudinal study","volume":"12","author":"S Menning","year":"2018","journal-title":"Brain Imaging Behav"},{"issue":"4","key":"pone.0339924.ref015","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.1007\/s11682-021-00556-y","article-title":"Sex differences in microstructural alterations in the corpus callosum tracts in drug-na\u00efve children with ADHD","volume":"16","author":"Q Lin","year":"2022","journal-title":"Brain Imaging Behav"},{"issue":"11","key":"pone.0339924.ref016","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0049790","article-title":"Tract profiles of white matter properties: automating fiber-tract quantification","volume":"7","author":"JD Yeatman","year":"2012","journal-title":"PLoS One"},{"issue":"1","key":"pone.0339924.ref017","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1038\/s41467-018-03297-7","article-title":"A browser-based tool for visualization and analysis of diffusion MRI data","volume":"9","author":"JD Yeatman","year":"2018","journal-title":"Nat Commun"},{"issue":"3","key":"pone.0339924.ref018","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.neuroimage.2007.02.049","article-title":"Reproducibility of quantitative tractography methods applied to cerebral white matter","volume":"36","author":"S Wakana","year":"2007","journal-title":"Neuroimage"},{"issue":"1","key":"pone.0339924.ref019","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.neuroimage.2007.07.053","article-title":"Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification","volume":"39","author":"K Hua","year":"2008","journal-title":"Neuroimage"},{"issue":"6","key":"pone.0339924.ref020","doi-asserted-by":"crossref","first-page":"1746","DOI":"10.1007\/s11682-019-00160-1","article-title":"Right arcuate fasciculus and superior longitudinal fasciculus abnormalities in primary insomnia","volume":"13","author":"W Cai","year":"2019","journal-title":"Brain Imaging Behav"},{"issue":"2","key":"pone.0339924.ref021","doi-asserted-by":"crossref","DOI":"10.1111\/adb.13132","article-title":"Right arcuate fasciculus and left uncinate fasciculus abnormalities in young smoker","volume":"27","author":"M Zhou","year":"2022","journal-title":"Addict Biol"},{"key":"pone.0339924.ref022","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1093\/brain\/awl359","article-title":"Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography","volume":"130","author":"JD Schmahmann","year":"2007","journal-title":"Brain"},{"issue":"3","key":"pone.0339924.ref023","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1038\/nrn2994","article-title":"The integration of negative affect, pain and cognitive control in the cingulate cortex","volume":"12","author":"AJ Shackman","year":"2011","journal-title":"Nat Rev Neurosci"},{"key":"pone.0339924.ref024","doi-asserted-by":"crossref","first-page":"73","DOI":"10.3389\/fnana.2017.00073","article-title":"Affective Circuitry Alterations in Patients with Trigeminal Neuralgia","volume":"11","author":"DJ Hayes","year":"2017","journal-title":"Front Neuroanat"},{"key":"pone.0339924.ref025","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.neubiorev.2018.05.008","article-title":"The cingulum bundle: Anatomy, function, and dysfunction","volume":"92","author":"EJ Bubb","year":"2018","journal-title":"Neurosci Biobehav Rev"},{"issue":"6","key":"pone.0339924.ref026","doi-asserted-by":"crossref","first-page":"469","DOI":"10.2174\/1567205019666220718142130","article-title":"Application of Diffusion Tensor Imaging Based on Automatic Fiber Quantification in Alzheimer\u2019s Disease","volume":"19","author":"B Yu","year":"2022","journal-title":"Curr Alzheimer Res"},{"key":"pone.0339924.ref027","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.cortex.2020.03.032","article-title":"Characterizing white matter connectivity in Alzheimer\u2019s disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets","volume":"129","author":"X Dou","year":"2020","journal-title":"Cortex"},{"key":"pone.0339924.ref028","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1080\/21678421.2021.1962353","article-title":"Corticospinal tract and motor cortex degeneration in pure hereditary spastic paraparesis type 4 (SPG4)","volume":"23","author":"FJ Navas-S\u00e1nchez","year":"2022","journal-title":"Amyotroph Lateral Scler Frontotemporal Degener"},{"issue":"6","key":"pone.0339924.ref029","doi-asserted-by":"crossref","first-page":"1438","DOI":"10.1109\/TMI.2019.2894398","article-title":"Monte Carlo Simulations of Water Exchange Through Myelin Wraps: Implications for Diffusion MRI","volume":"38","author":"L Brusini","year":"2019","journal-title":"IEEE Trans Med Imaging"},{"issue":"11","key":"pone.0339924.ref030","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0050425","article-title":"Cognitive processing speed in older adults: relationship with white matter integrity","volume":"7","author":"GA Kerchner","year":"2012","journal-title":"PLoS One"},{"issue":"1","key":"pone.0339924.ref031","doi-asserted-by":"crossref","first-page":"88","DOI":"10.3816\/CBC.2008.n.007","article-title":"Adjuvant chemotherapy for breast cancer: effects on cerebral white matter seen in diffusion tensor imaging","volume":"8","author":"J Abraham","year":"2008","journal-title":"Clin Breast Cancer"},{"key":"pone.0339924.ref032","doi-asserted-by":"crossref","first-page":"598242","DOI":"10.3389\/fnagi.2020.598242","article-title":"Early Segmental White Matter Fascicle Microstructural Damage Predicts the Corresponding Cognitive Domain Impairment in Cerebral Small Vessel Disease Patients by Automated Fiber Quantification","volume":"12","author":"L Huang","year":"2021","journal-title":"Front Aging Neurosci"},{"key":"pone.0339924.ref033","doi-asserted-by":"crossref","first-page":"2366","DOI":"10.1093\/brain\/awr169","article-title":"Strategic role of frontal white matter tracts in vascular cognitive impairment: a voxel-based lesion-symptom mapping study in CADASIL","volume":"134","author":"M Duering","year":"2011","journal-title":"Brain"},{"key":"pone.0339924.ref034","doi-asserted-by":"crossref","first-page":"999384","DOI":"10.3389\/fpsyt.2022.999384","article-title":"Segmental abnormalities of superior longitudinal fasciculus microstructure in patients with schizophrenia, bipolar disorder, and attention-deficit\/hyperactivity disorder: An automated fiber quantification tractography study","volume":"13","author":"F Xu","year":"2022","journal-title":"Front Psychiatry"},{"key":"pone.0339924.ref035","doi-asserted-by":"crossref","first-page":"1128808","DOI":"10.3389\/fpsyt.2023.1128808","article-title":"Abnormal focal segments in left uncinate fasciculus in adults with obsessive-compulsive disorder","volume":"14","author":"S Zhang","year":"2023","journal-title":"Front Psychiatry"},{"issue":"11","key":"pone.0339924.ref036","doi-asserted-by":"crossref","first-page":"1218","DOI":"10.1093\/cercor\/12.11.1218","article-title":"Asymmetry of the uncinate fasciculus: a post-mortem study of normal subjects and patients with schizophrenia","volume":"12","author":"JR Highley","year":"2002","journal-title":"Cereb Cortex"},{"key":"pone.0339924.ref037","doi-asserted-by":"crossref","first-page":"101704","DOI":"10.1016\/j.nicl.2019.101704","article-title":"White-matter pathways and semantic processing: intrasurgical and lesion-symptom mapping evidence","volume":"22","author":"J Sierpowska","year":"2019","journal-title":"Neuroimage Clin"},{"issue":"5","key":"pone.0339924.ref038","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1017\/cjn.2022.286","article-title":"Lesions in White Matter in Wilson\u2019s Disease and Correlation with Clinical Characteristics","volume":"50","author":"A Wang","year":"2023","journal-title":"Can J Neurol Sci"},{"issue":"6","key":"pone.0339924.ref039","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.3039","article-title":"Altered resting-state hippocampal functional connectivity in breast cancer survivors with chemotherapy-induced amenorrhea","volume":"13","author":"Y Zhuang","year":"2023","journal-title":"Brain Behav"},{"issue":"4","key":"pone.0339924.ref040","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1007\/s11682-013-9244-1","article-title":"Chemotherapy altered brain functional connectivity in women with breast cancer: a pilot study","volume":"7","author":"JA Dumas","year":"2013","journal-title":"Brain Imaging Behav"},{"issue":"8","key":"pone.0339924.ref041","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1016\/j.psyneuen.2006.05.007","article-title":"A 3-day estrogen treatment improves prefrontal cortex-dependent cognitive function in postmenopausal women","volume":"31","author":"R Krug","year":"2006","journal-title":"Psychoneuroendocrinology"},{"issue":"5","key":"pone.0339924.ref042","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1093\/ijnp\/pyx008","article-title":"The Working Memory and Dorsolateral Prefrontal-Hippocampal Functional Connectivity Changes in Long-Term Survival Breast Cancer Patients Treated with Tamoxifen","volume":"20","author":"X Chen","year":"2017","journal-title":"Int J Neuropsychopharmacol"},{"key":"pone.0339924.ref043","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.psyneuen.2014.07.025","article-title":"Emotional and cognitive functional imaging of estrogen and progesterone effects in the female human brain: a systematic review","volume":"50","author":"S Toffoletto","year":"2014","journal-title":"Psychoneuroendocrinology"},{"key":"pone.0339924.ref044","first-page":"6589608","article-title":"Danshen-Honghua Ameliorates Stress-Induced Menopausal Depression in Rats","volume":"2018","author":"S Gu","year":"2018","journal-title":"Neural Plast"},{"issue":"4","key":"pone.0339924.ref045","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1097\/gme.0b013e3181db9f8b","article-title":"Associations of depression with the transition to menopause","volume":"17","author":"EW Freeman","year":"2010","journal-title":"Menopause"},{"issue":"10","key":"pone.0339924.ref046","doi-asserted-by":"crossref","first-page":"3000605211047071","DOI":"10.1177\/03000605211047071","article-title":"White matter integrity in patients with classic trigeminal neuralgia: a multi-node automated fiber tract quantification study","volume":"49","author":"R Li","year":"2021","journal-title":"J Int Med Res"}],"container-title":["PLOS One"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0339924","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T18:51:23Z","timestamp":1767207083000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0339924"}},"subtitle":[],"editor":[{"given":"Marco","family":"Giannelli","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2025,12,31]]},"references-count":46,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2025,12,31]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0339924","relation":{},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,31]]}}}