https://www.frontiersin.org/journals/neuroimaging RSS Feed for Frontiers in Neuroimaging | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-08T06:05:07.983+00:00 60 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1691870 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1691870 2026-05-04T00:00:00Z Review Mengyi HuangQunbo JiaYushu OuyangXiaoteng FengRonghui Ju https://www.frontiersin.org/articles/10.3389/fnimg.2026.1753534 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1753534 2026-05-01T00:00:00Z Original Research David G. EllisMichele R. Aizenberg 3 mm also decreased the accuracy of motor mapping results from individual sessions to the precision maps (p < 0.001). With cluster significance thresholding, mean false positive voxel percentages remained below 5% for both methods across the tested kernel widths. Both Gaussian and constrained smoothing demonstrated a biasing effect on the resting state connectivity of nearby regions and on the graph theory metrics of the functional connectomes.ConclusionThis study showed that unconstrained Gaussian smoothing spreads activation across cortical boundaries, increases white matter activation, and biases graph theory connectivity metrics. Anatomically constrained smoothing reduced some of these smoothing artifacts while still increasing reliability and may be a reasonable alternative to unconstrained Gaussian smoothing.]]> https://www.frontiersin.org/articles/10.3389/fnimg.2026.1776934 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1776934 2026-04-28T00:00:00Z Original Research Haider Faeq Hadhratee Al-RubaieeSamr Adnan Abdaljabbar Al-SalmWeronika JensenAgnieszka Monika DelektaYousef YavarianBoris Modrau https://www.frontiersin.org/articles/10.3389/fnimg.2026.1818662 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1818662 2026-04-28T00:00:00Z Original Research Sana A. AliDamion V. DemeterAbigail R. BaimEmily M. KoithanMatthew FeigelisSalma ZreikJonathan AhernSarah E. ChangSujin ParkEvan M. GordonScott MarekDeanna J. Greene https://www.frontiersin.org/articles/10.3389/fnimg.2026.1796824 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1796824 2026-04-23T00:00:00Z Brief Research Report Vaibhavi S. ItkyalTheodore J. LaGrowKyle M. JensenArmin IrajiVince D. Calhoun https://www.frontiersin.org/articles/10.3389/fnimg.2026.1771087 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1771087 2026-04-22T00:00:00Z Original Research Daniel C. JavittAntigona MartinezPejman SehatpourPamela D. ButlerElisa DiasKristin MicceriMelissa BrelandRussell H. Tobe 90% accuracy. V2 hyper-engagement in ASD correlated with both reduced FER accuracy and ADOS Social Interaction domain scores.ConclusionSchizophrenia and ASD are associated with divergent physiological-level alterations within the early visual system during emotional face processing, supporting models of magnocellular visual hypoactivity in schizophrenia but retinotectal visual hyperactivity leading to hyper-engagement of non-face regions (V2) by face stimuli in ASD. These alterations, in turn, may serve as targets for future intervention studies related to social cognition.]]> https://www.frontiersin.org/articles/10.3389/fnimg.2026.1756394 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1756394 2026-04-20T00:00:00Z Systematic Review Morgan J. WilliamsEllie J. WilliamsonSamantha Jane Brooks https://www.frontiersin.org/articles/10.3389/fnimg.2026.1814006 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1814006 2026-04-16T00:00:00Z Brief Research Report Theresa A. McIverCharles N. BernsteinRuth Ann MarrieJohn D. FiskChase R. FigleyJennifer Kornelsen https://www.frontiersin.org/articles/10.3389/fnimg.2026.1811399 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1811399 2026-04-10T00:00:00Z Original Research Xiaolu ChenJianmei ChenMing AiSu HongLinxi DaiXiaoshan ShenLi Kuang https://www.frontiersin.org/articles/10.3389/fnimg.2026.1783329 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1783329 2026-04-08T00:00:00Z Case Report Wenjuan XuChao ZhangFan WangXiaomin LiuXiao ZhangFei MaoXinyi WangXiaoyu Zhang https://www.frontiersin.org/articles/10.3389/fnimg.2026.1736950 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1736950 2026-03-25T00:00:00Z Original Research Carina GrafBelinda DingCatarina RuaKrzysztof KlodowskiChristopher T. Rodgers https://www.frontiersin.org/articles/10.3389/fnimg.2026.1816667 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1816667 2026-03-11T00:00:00Z Retraction https://www.frontiersin.org/articles/10.3389/fnimg.2026.1751864 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1751864 2026-02-26T00:00:00Z Case Report Tengyao LiangJiangqin SongFengzhu ZhaoWeifang ZhuHui Wei https://www.frontiersin.org/articles/10.3389/fnimg.2026.1670604 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1670604 2026-02-25T00:00:00Z Original Research Ivanei BramatiDiego SzczupakMarina Carneiro MonteiroFernanda MeirelesDaniel Menezes GuimarãesRyan J. DeanLynn K. PaulFernanda Tovar-Moll https://www.frontiersin.org/articles/10.3389/fnimg.2025.1688973 https://www.frontiersin.org/articles/10.3389/fnimg.2025.1688973 2026-02-18T00:00:00Z Original Research Bradley J. MacIntoshS. Shirley LinFinn O’HaraNathan W. ChurchillFred TamAlexandra PavelEugenie RoudaiaAllison B. SekulerIvy ChengFuqiang GaoBenjamin LamChris HeynMario MasellisJ. Jean ChenTom A. SchweizerSandra E. BlackSimon J. Graham  0.90, indicating a high probability of decreased rCBV in the PCC group, involving the superior frontal gyrus, thalamus, paracentral lobule, cingulate gyrus, postcentral gyrus, middle frontal gyrus, inferior frontal gyrus, and superior temporal gyrus ROIs. By comparison, group differences in rCBF were muted and did not reach PD > 0.90.DiscussionWe found group-level differences that were reflected by lower regional rCBV in PCC relative to controls. The imaging findings are suggestive of cerebrovascular alterations several months after the initial illness.]]> https://www.frontiersin.org/articles/10.3389/fnimg.2026.1746464 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1746464 2026-02-17T00:00:00Z Original Research Shahzad AliWendy KreshpaNicola RossoMichele PianaLuca RoccatagliataAlessio CironeLorenzini LuigiCristina CampiMatteo PardiniSara Garbarino https://www.frontiersin.org/articles/10.3389/fnimg.2026.1728970 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1728970 2026-02-10T00:00:00Z Study Protocol Paul B. CamachoAaron T. AndersonRong GuoYuhui ChaiSina TaftiIan HallDominika M. PindusChris LockwoodPaul M. ArnoldSheeba Arnold-AnteraperZhi-Pei LiangHacene SerraiAndrew G. WebbBansari UpadhyayDiane BeckMark D. WhitingBruce M. DamonTracey M. WszalekBrad P. Sutton https://www.frontiersin.org/articles/10.3389/fnimg.2026.1726037 https://www.frontiersin.org/articles/10.3389/fnimg.2026.1726037 2026-02-04T00:00:00Z Original Research Tamoghna ChattopadhyayPavithra SenthilkumarRahul H. AnkarathChristopher PattersonEmma J. GleaveSophia I. ThomopoulosHeng HuangLi ShenLei YouDegui ZhiPaul M. Thompson https://www.frontiersin.org/articles/10.3389/fnimg.2025.1743623 https://www.frontiersin.org/articles/10.3389/fnimg.2025.1743623 2026-01-16T00:00:00Z Case Report John Paul AboubecharaMichael SaggioOlivia CampaKader Karli OguzIvy Nguyen https://www.frontiersin.org/articles/10.3389/fnimg.2025.1659480 https://www.frontiersin.org/articles/10.3389/fnimg.2025.1659480 2026-01-13T00:00:00Z Original Research Zahra Shokri VarniabHyun Gi KimRicarda von KrüchtenYashas Ullas LokeshaKristina Elizabeth HawkShashi Bhushan SinghTie LiangSarah Lu-LiangLucia BarattoMichael IvHeike Elisabeth Daldrup-Link 1000 mg/m2). Post-treatment scans were conducted ≤3 months (short-term group, n = 11) or >3 months (long-term group, n = 8) after completion of HDMTX and were compared with baseline scans. SUVmean and SUVmax of the whole brain cortex and six subregions were measured with PMOD software. A generalized linear regression model was used to evaluate post-pre-HDMTX SUV values differences in whole cortex with p < 0.05 and for with of different brain subregions, with p < 0.008 after Bonferroni correction.ResultsIn the short-term group, compared with baseline, both SUVmean (pre-HDMTX vs. post-HDMTX: 5.06 ± 1.62 vs. 6.31 ± 1.71, p < 0.001) and SUVmax (9.16 ± 3.33 vs. 13.25 ± 3.35, p < 0.001) significantly increased in the whole cortex following HDMTX. In contrast, the long-term group showed no significant changes in SUVmean (6.31 ± 1.71 vs. 6.30 ± 1.54, p = 0.1) or SUVmax (12.01 ± 3.53 vs. 11.58 ± 3.07, p = 0.1) after HDMTX.Discussion18F-FDG PET/MRI revealed short-term increases in brain metabolism post-HDMTX compared with baseline, possibly reflecting neuroinflammation. Long-term follow up scans revealed normalization of brain metabolism or decreased brain metabolism compared to baseline, the latter possibly indicating neurotoxicity.]]>