{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:30:15Z","timestamp":1787243415668,"version":"build-2736575974"},"reference-count":24,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T00:00:00Z","timestamp":1714089600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to compare gray matter volume changes in patients with chronic kidney disease (CKD) undergoing peritoneal dialysis (PD) and hemodialysis (HD) using voxel-based morphometry (VBM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 27 PD patients, 25 HD patients, and 42 healthy controls were included. VBM analysis was performed, and cognitive function was assessed using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment Scale (MoCA). The correlation between cognitive function and changes in brain gray matter volume was analyzed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Both peritoneal dialysis and hemodialysis patients had partial gray matter volume reduction compared to the controls, but the affected brain regions were not uniform. The hemodialysis patients had greater volume reduction in certain brain regions than the PD patients. The MMSE and MoCA scores were positively correlated with gray matter volume changes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Different dialysis modalities cause damage to specific areas of the brain, which can be detected using VBM. VBM, combined with cognitive function assessment, can help detect structural brain changes and cognitive impairment in patients with different dialysis modalities. The comprehensive application of VBM in the field of neurological function deserves further exploration.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnins.2024.1394169","type":"journal-article","created":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T00:52:37Z","timestamp":1714092757000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Comparison of brain gray matter volume changes in peritoneal dialysis and hemodialysis patients with chronic kidney disease: a VBM study"],"prefix":"10.3389","volume":"18","author":[{"given":"Fenglin","family":"Xiao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaoyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huan","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoping","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinxin","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,4,26]]},"reference":[{"key":"ref9","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1016\/S0140-6736(20)30045-3","article-title":"Global, regional, and national burden of chronic kidney disease, 1990\u20132017: a systematic analysis for the global burden of disease study 2017","volume":"395","author":"Bikbov","year":"2020","journal-title":"Lancet"},{"key":"ref1","doi-asserted-by":"publisher","first-page":"S11","DOI":"10.1053\/ajkd.2001.28090","article-title":"Pathophysiology of dialysis hypotension: an update","volume":"38","author":"Daugirdas","year":"2001","journal-title":"Am. J. Kidney Dis."},{"key":"ref2","doi-asserted-by":"publisher","first-page":"107","DOI":"10.2174\/1570159X20666220927093815","article-title":"Targeting the renin-angiotensin system (RAS) for neuropsychiatric disorders","volume":"22","author":"de Miranda","year":"2022","journal-title":"Curr. Neuropharmacol."},{"key":"ref3","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1016\/S0140-6736(18)31694-5","article-title":"Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories","volume":"392","author":"Foreman","year":"2018","journal-title":"Lancet"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1111\/nep.14117","article-title":"Frequency and risk factors for cognitive dysfunction in peritoneal dialysis patients","volume":"27","author":"Gamage","year":"2022","journal-title":"Nephrology"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1111\/1744-9987.13450","article-title":"Quality of life and emotional distress in peritoneal Dialysis and hemodialysis patients","volume":"24","author":"Hiramatsu","year":"2020","journal-title":"Ther. Apher. Dial."},{"key":"ref6","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1186\/s12888-021-03495-6","article-title":"A comparison of the Mini-mental state examination (MMSE) with the Montreal cognitive assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study","volume":"21","author":"Jia","year":"2021","journal-title":"BMC Psychiatry"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1016\/S0140-6736(21)00519-5","article-title":"Chronic kidney disease","volume":"398","author":"Kalantar-Zadeh","year":"2021","journal-title":"Lancet"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1053\/j.ajkd.2010.11.026","article-title":"Cognitive impairment in peritoneal dialysis patients","volume":"57","author":"Kalirao","year":"2011","journal-title":"Am. J. Kidney Dis."},{"key":"ref10","doi-asserted-by":"publisher","first-page":"4849","DOI":"10.1109\/JBHI.2022.3190277","article-title":"Human-guided functional connectivity network estimation for chronic tinnitus identification: a modularity view","volume":"26","author":"Li","year":"2022","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref11","doi-asserted-by":"publisher","first-page":"2494","DOI":"10.1109\/JBHI.2019.2893880","article-title":"Functional brain network estimation with time series self-scrubbing","volume":"23","author":"Li","year":"","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref12","doi-asserted-by":"publisher","first-page":"55","DOI":"10.3389\/fninf.2017.00055","article-title":"Remodeling Pearson's correlation for functional brain network estimation and autism Spectrum disorder identification","volume":"11","author":"Li","year":"2017","journal-title":"Front. Neuroinform."},{"key":"ref13","doi-asserted-by":"publisher","first-page":"782727","DOI":"10.3389\/fcell.2021.782727","article-title":"Multiple connection pattern combination from single-mode data for mild cognitive impairment identification","volume":"9","author":"Li","year":"2021","journal-title":"Front. Cell Dev. Biol."},{"key":"ref14","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1109\/JBHI.2019.2934230","article-title":"Toward a better estimation of functional brain network for mild cognitive impairment identification: a transfer learning view","volume":"24","author":"Li","year":"","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref15","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1111\/j.1525-139X.2010.00782.x","article-title":"Recurrent circulatory stress: the dark side of dialysis","volume":"23","author":"McIntyre","year":"2010","journal-title":"Semin. Dial."},{"key":"ref16","doi-asserted-by":"publisher","first-page":"c23","DOI":"10.1159\/000077592","article-title":"Dialysis-related hypotension as a cause of progressive frontal lobe atrophy in chronic hemodialysis patients: a 3-year prospective study","volume":"97","author":"Mizumasa","year":"2004","journal-title":"Nephron Clin. Pract."},{"key":"ref17","doi-asserted-by":"publisher","first-page":"3348","DOI":"10.1161\/STROKEAHA.119.028688","article-title":"Chronic kidney disease as risk factor for enlarged perivascular spaces in patients with stroke and relation to racial group","volume":"51","author":"Penton","year":"2020","journal-title":"Stroke"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1159\/000485694","article-title":"Brain atrophy and cognitive impairment in chronic kidney disease","volume":"196","author":"Tsuruya","year":"2018","journal-title":"Contrib. Nephrol."},{"key":"ref19","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.jstrokecerebrovasdis.2006.08.004","article-title":"Cerebral microbleeds and intracerebral hemorrhages in patients on maintenance hemodialysis","volume":"16","author":"Watanabe","year":"2007","journal-title":"J. Stroke Cerebrovasc. Dis."},{"key":"ref20","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1093\/cercor\/bhad477","article-title":"Towards an accurate autism spectrum disorder diagnosis: multiple connectome views from fMRI data","volume":"34","author":"Yang","year":"2024","journal-title":"Cereb. Cortex"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"102830","DOI":"10.1016\/j.nicl.2021.102830","article-title":"Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies","volume":"32","author":"Zackov\u00e1","year":"2021","journal-title":"Neuroimage Clin"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1016\/j.jcss.2014.02.007","article-title":"A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud","volume":"80","author":"Zhang","year":"2014","journal-title":"J. Comput. Syst. Sci."},{"key":"ref23","doi-asserted-by":"publisher","first-page":"1086772","DOI":"10.3389\/fneur.2022.1086772","article-title":"Diffusion tensor imaging of the brain white matter microstructure in patients with chronic kidney disease and its correlation with cognition","volume":"13","author":"Zhang","year":"2022","journal-title":"Front. Neurol."},{"key":"ref24","doi-asserted-by":"publisher","first-page":"897728","DOI":"10.3389\/fendo.2022.897728","article-title":"Relationship between physical performance and mild cognitive impairment in elderly hemodialysis patients is modified by the presence of diabetes: a multicenter cross-sectional study","volume":"13","author":"Zhao","year":"2022","journal-title":"Front Endocrinol"}],"container-title":["Frontiers in Neuroscience"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnins.2024.1394169\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T00:52:39Z","timestamp":1714092759000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnins.2024.1394169\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,26]]},"references-count":24,"alternative-id":["10.3389\/fnins.2024.1394169"],"URL":"https:\/\/doi.org\/10.3389\/fnins.2024.1394169","relation":{},"ISSN":["1662-453X"],"issn-type":[{"value":"1662-453X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,26]]},"article-number":"1394169"}}