{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T16:25:50Z","timestamp":1791563150346,"version":"4.3.4"},"reference-count":40,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T00:00:00Z","timestamp":1620000000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003803","name":"University of Hong Kong","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003803","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Apolipoprotein E \u025b4 allele (ApoE4) is the most common gene polymorphism related to Alzheimer's disease (AD). Impaired synaptic dysfunction occurs in ApoE4 carriers before any clinical symptoms. It remains unknown whether ApoE4 status affects the hippocampal neuromodulation, which further influences brain network topology.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To study the relationship of regional and global network properties by using graph theory analysis and glutamatergic (Glx) neuromodulation in the ApoE isoforms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>Eighty\u2010four cognitively normal adults (26 ApoE4 and 58 non\u2010ApoE4 carriers).<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>Gradient\u2010echo echo\u2010planar and point resolved spectroscopy sequence at 3\u2009T.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Glx concentration in bilateral hippocampi were processed with jMRUI (4.0), and graph theory metrics (global: <jats:italic>\u03b3<\/jats:italic>, \u03bb, small\u2010worldness in whole brain; regional: nodal clustering coefficient (<jats:italic>C<\/jats:italic><jats:sub><jats:italic>i<\/jats:italic><\/jats:sub>) and nodal characteristic path length (<jats:italic>L<\/jats:italic><jats:sub><jats:italic>i<\/jats:italic><\/jats:sub>)) in top 20% highly connected hubs of subgroups (low\u2010risk: non\u2010ApoE4; high\u2010risk: APOE4) were calculated and compared.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Two\u2010sample <jats:italic>t<\/jats:italic> test was used to compare metrics between subgroups. Correlations between regional properties and Glx by Pearson's partial correlation with false discovery rate correction.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Significant differences (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05) in <jats:italic>C<\/jats:italic><jats:sub><jats:italic>i<\/jats:italic><\/jats:sub> between subgroups were found in hubs of left inferior frontal, bilateral inferior temporal, and bilateral precentral gyri, right parahippocampus, and bilateral precuneus. In addition, there was a significant correlation between Glx in the left hippocampus and <jats:italic>C<\/jats:italic><jats:sub><jats:italic>i<\/jats:italic><\/jats:sub> in inferior frontal gyrus (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.537, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.024), right inferior temporal (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.478, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.043), right parahippocampus (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.629, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.016), left precentral (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.581, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.022), right precentral (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.651, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.003), left precuneus (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.545, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.024), and right precuneus (<jats:italic>r<\/jats:italic>\u00a0=\u00a0\u22120.567, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.022); and <jats:italic>L<\/jats:italic><jats:sub><jats:italic>i<\/jats:italic><\/jats:sub> in left precuneus (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.575, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.032) and right precuneus (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.586, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.032) in the high\u2010risk group, but not in the low\u2010risk group.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>Our results suggested that healthy ApoE4 carriers exhibit poorer local interconnectivity. Moreover, the close relationship between glutamate and small\u2010world network properties in ApoE4 carriers might reflect a compensatory response to the impaired network efficiency.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>2<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 3<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27632","type":"journal-article","created":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T15:43:38Z","timestamp":1620056618000},"page":"952-961","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Small\u2010World Networks and Their Relationship With Hippocampal Glutamine\/Glutamate Concentration in Healthy Adults With Varying Genetic Risk for Alzheimer's Disease"],"prefix":"10.1002","volume":"54","author":[{"given":"Hui","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Diagnostic Radiology The 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