{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T19:50:39Z","timestamp":1791489039186,"version":"4.3.4"},"reference-count":75,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T00:00:00Z","timestamp":1791417600000},"content-version":"vor","delay-in-days":71,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"DOI":"10.1038\/s41398-026-04210-3","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T10:56:34Z","timestamp":1785322594000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Abnormalities of intrinsic brain activity in late-life depression: a meta-analysis of resting-state functional imaging studies"],"prefix":"10.1038","volume":"16","author":[{"given":"Jinping","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huawei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8324-9666","authenticated-orcid":false,"given":"Graham J.","family":"Kemp","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0890-0279","authenticated-orcid":false,"given":"Lei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5912-4871","authenticated-orcid":false,"given":"Qiyong","family":"Gong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,29]]},"reference":[{"key":"4210_CR1","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-021-01291-0","volume":"11","author":"B Chen","year":"2021","unstructured":"Chen B, Zhong X, Zhang M, Mai N, Wu Z, Chen X, et al. The additive effect of late-life depression and olfactory dysfunction on the risk of dementia was mediated by hypersynchronization of the hippocampus\/fusiform gyrus. Transl Psychiatry. 2021;11:172. https:\/\/doi.org\/10.1038\/s41398-021-01291-0.","journal-title":"Transl Psychiatry"},{"key":"4210_CR2","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.jad.2012.05.025","volume":"143","author":"JD Chen","year":"2012","unstructured":"Chen JD, Liu F, Xun GL, Chen HF, Hu MR, Guo XF, et al. Early and late onset, first-episode, treatment-naive depression: same clinical symptoms, different regional neural activities. J Affect Disord. 2012;143:56\u201363. https:\/\/doi.org\/10.1016\/j.jad.2012.05.025.","journal-title":"J Affect Disord"},{"key":"4210_CR3","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.pnpbp.2012.08.014","volume":"40","author":"WB Guo","year":"2013","unstructured":"Guo WB, Liu F, Xun GL, Hu MR, Guo XF, Xiao CQ, et al. Reversal alterations of amplitude of low-frequency fluctuations in early and late onset, first-episode, drug-naive depression. Prog Neuropsychopharmacol Biol Psychiatry. 2013;40:153\u20139. https:\/\/doi.org\/10.1016\/j.pnpbp.2012.08.014.","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"4210_CR4","doi-asserted-by":"publisher","first-page":"1024","DOI":"10.3389\/fpsyt.2019.01024","volume":"10","author":"J Li","year":"2019","unstructured":"Li J, Gong H, Xu H, Ding Q, He N, Huang Y, et al. Abnormal voxel-wise degree centrality in patients with late-life depression: a resting-state functional magnetic resonance imaging study. Front Psychiatry. 2019;10:1024. https:\/\/doi.org\/10.3389\/fpsyt.2019.01024.","journal-title":"Front Psychiatry"},{"key":"4210_CR5","doi-asserted-by":"publisher","first-page":"505479","DOI":"10.1155\/2015\/505479","volume":"2015","author":"Y Yue","year":"2015","unstructured":"Yue Y, Jia X, Hou Z, Zang Y, Yuan Y. Frequency-dependent amplitude alterations of resting-state spontaneous fluctuations in late-onset depression. Biomed Res Int. 2015;2015:505479. https:\/\/doi.org\/10.1155\/2015\/505479.","journal-title":"Biomed Res Int"},{"key":"4210_CR6","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.jad.2017.06.011","volume":"221","author":"L Sj\u00f6berg","year":"2017","unstructured":"Sj\u00f6berg L, Karlsson B, Atti AR, Skoog I, Fratiglioni L, Wang HX. Prevalence of depression: comparisons of different depression definitions in population-based samples of older adults. J Affect Disord. 2017;221:123\u201331. https:\/\/doi.org\/10.1016\/j.jad.2017.06.011.","journal-title":"J Affect Disord"},{"key":"4210_CR7","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1007\/s11682-021-00494-9","volume":"16","author":"A Saberi","year":"2022","unstructured":"Saberi A, Mohammadi E, Zarei M, Eickhoff SB, Tahmasian M. Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis. Brain Imaging Behav. 2022;16:518\u201331. https:\/\/doi.org\/10.1007\/s11682-021-00494-9.","journal-title":"Brain Imaging Behav"},{"key":"4210_CR8","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/s11414-011-9234-2","volume":"38","author":"MC Karakus","year":"2011","unstructured":"Karakus MC, Patton LC. Depression and the onset of chronic illness in older adults: a 12-year prospective study. J Behav Health Serv Res. 2011;38:373\u201382. https:\/\/doi.org\/10.1007\/s11414-011-9234-2.","journal-title":"J Behav Health Serv Res"},{"key":"4210_CR9","doi-asserted-by":"publisher","first-page":"F1000","DOI":"10.12688\/f1000research.17399.1","volume":"8","author":"K Manning","year":"2019","unstructured":"Manning K, Wang L, Steffens D. Recent advances in the use of imaging in psychiatry: functional magnetic resonance imaging of large-scale brain networks in late-life depression. F1000Res. 2019;8:F1000. https:\/\/doi.org\/10.12688\/f1000research.17399.1.","journal-title":"F1000Res"},{"key":"4210_CR10","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1038\/35094500","volume":"2","author":"DA Gusnard","year":"2001","unstructured":"Gusnard DA, Raichle ME, Raichle ME. Searching for a baseline: functional imaging and the resting human brain. Nat Rev Neurosci. 2001;2:685\u201394. https:\/\/doi.org\/10.1038\/35094500.","journal-title":"Nat Rev Neurosci"},{"key":"4210_CR11","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1007\/s00702-017-1710-2","volume":"124","author":"T Takamura","year":"2017","unstructured":"Takamura T, Hanakawa T. Clinical utility of resting-state functional connectivity magnetic resonance imaging for mood and cognitive disorders. J Neural Transm. 2017;124:821\u201339. https:\/\/doi.org\/10.1007\/s00702-017-1710-2.","journal-title":"J Neural Transm"},{"key":"4210_CR12","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.jad.2022.06.014","volume":"314","author":"J Yuan","year":"2022","unstructured":"Yuan J, Yu H, Yu M, Liang X, Huang C, He R, et al. Altered spontaneous brain activity in major depressive disorder: an activation likelihood estimation meta-analysis. J Affect Disord. 2022;314:19\u201326. https:\/\/doi.org\/10.1016\/j.jad.2022.06.014.","journal-title":"J Affect Disord"},{"key":"4210_CR13","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1007\/s00406-024-01838-4","volume":"275","author":"G Cattarinussi","year":"2025","unstructured":"Cattarinussi G, Di Camillo F, Grimaldi DA, Sambataro F. Diagnostic value of regional homogeneity and fractional amplitude of low-frequency fluctuations in the classification of schizophrenia and bipolar disorders. Eur Arch Psychiatry Clin Neurosci. 2025;275:799\u2013812. https:\/\/doi.org\/10.1007\/s00406-024-01838-4.","journal-title":"Eur Arch Psychiatry Clin Neurosci"},{"key":"4210_CR14","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1038\/s41387-024-00348-5","volume":"14","author":"P Dai","year":"2024","unstructured":"Dai P, Yu Y, Sun Q, Yang Y, Hu B, Xie H, et al. Abnormal changes of brain function and structure in patients with T2DM-related cognitive impairment: a neuroimaging meta-analysis and an independent validation. Nutr Diabetes. 2024;14:91. https:\/\/doi.org\/10.1038\/s41387-024-00348-5.","journal-title":"Nutr Diabetes"},{"key":"4210_CR15","doi-asserted-by":"publisher","first-page":"116495","DOI":"10.1016\/j.psychres.2025.116495","volume":"348","author":"YX Zheng","year":"2025","unstructured":"Zheng YX, Huai YY, Qiao Y, Zang YF, Luo H, Zhao N. Neural correlates of psychotherapy in mental disorders: a meta-analysis of longitudinal resting-state fMRI studies. Psychiatry Res. 2025;348:116495. https:\/\/doi.org\/10.1016\/j.psychres.2025.116495.","journal-title":"Psychiatry Res"},{"key":"4210_CR16","doi-asserted-by":"publisher","first-page":"e0227021","DOI":"10.1371\/journal.pone.0227021","volume":"15","author":"XZ Jia","year":"2020","unstructured":"Jia XZ, Sun JW, Ji GJ, Liao W, Lv YT, Wang J, et al. Percent amplitude of fluctuation: a simple measure for resting-state fMRI signal at single voxel level. PLoS One. 2020;15:e0227021. https:\/\/doi.org\/10.1371\/journal.pone.0227021.","journal-title":"PLoS One"},{"key":"4210_CR17","doi-asserted-by":"publisher","first-page":"1654","DOI":"10.1126\/science.3059497","volume":"242","author":"RR Llin\u00e1s","year":"1988","unstructured":"Llin\u00e1s RR. The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function. Science. 1988;242:1654\u201364. https:\/\/doi.org\/10.1126\/science.3059497.","journal-title":"Science"},{"key":"4210_CR18","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1002\/hbm.1048","volume":"14","author":"VD Calhoun","year":"2001","unstructured":"Calhoun VD, Adali T, Pearlson GD, Pekar JJ. A method for making group inferences from functional MRI data using independent component analysis. Hum Brain Mapp. 2001;14:140\u201351. https:\/\/doi.org\/10.1002\/hbm.1048.","journal-title":"Hum Brain Mapp"},{"key":"4210_CR19","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1001\/jamapsychiatry.2015.0071","volume":"72","author":"RH Kaiser","year":"2015","unstructured":"Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA Psychiatry. 2015;72:603\u201311. https:\/\/doi.org\/10.1001\/jamapsychiatry.2015.0071.","journal-title":"JAMA Psychiatry"},{"key":"4210_CR20","doi-asserted-by":"publisher","first-page":"713614","DOI":"10.3389\/fpsyt.2021.713614","volume":"12","author":"Z Zhang","year":"2021","unstructured":"Zhang Z, Chen Y, Wei W, Yang X, Meng Y, Yu H, et al. Changes in regional homogeneity of medication-free major depressive disorder patients with different onset ages. Front Psychiatry. 2021;12:713614. https:\/\/doi.org\/10.3389\/fpsyt.2021.713614.","journal-title":"Front Psychiatry"},{"key":"4210_CR21","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1176\/appi.ajp.2021.21010088","volume":"178","author":"P Zhukovsky","year":"2021","unstructured":"Zhukovsky P, Anderson J, Coughlan G, Mulsant BH, Cipriani A, Voineskos AN. Coordinate-based network mapping of brain structure in major depressive disorder in younger and older adults: a systematic review and meta-analysis. Am J Psychiatry. 2021;178:1119\u201328. https:\/\/doi.org\/10.1176\/appi.ajp.2021.21010088.","journal-title":"Am J Psychiatry"},{"key":"4210_CR22","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-019-0514-6","volume":"9","author":"GS Alexopoulos","year":"2019","unstructured":"Alexopoulos GS. Mechanisms and treatment of late-life depression. Transl Psychiatry. 2019;9:188. https:\/\/doi.org\/10.1038\/s41398-019-0514-6.","journal-title":"Transl Psychiatry"},{"key":"4210_CR23","doi-asserted-by":"publisher","first-page":"e53148","DOI":"10.1371\/journal.pone.0053148","volume":"8","author":"Z Ma","year":"2013","unstructured":"Ma Z, Li R, Yu J, He Y, Li J. Alterations in regional homogeneity of spontaneous brain activity in late-life subthreshold depression. PLoS One. 2013;8:e53148. https:\/\/doi.org\/10.1371\/journal.pone.0053148.","journal-title":"PLoS One"},{"key":"4210_CR24","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.bpsc.2019.10.013","volume":"5","author":"M Respino","year":"2020","unstructured":"Respino M, Hoptman MJ, Victoria LW, Alexopoulos GS, Solomonov N, Stein AT, et al. Cognitive control network homogeneity and executive functions in late-life depression. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;5:213\u201321. https:\/\/doi.org\/10.1016\/j.bpsc.2019.10.013.","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"4210_CR25","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.jad.2008.02.016","volume":"111","author":"Y Yuan","year":"2008","unstructured":"Yuan Y, Zhang Z, Bai F, Yu H, Shi Y, Qian Y, et al. Abnormal neural activity in the patients with remitted geriatric depression: a resting-state functional magnetic resonance imaging study. J Affect Disord. 2008;111:145\u201352. https:\/\/doi.org\/10.1016\/j.jad.2008.02.016.","journal-title":"J Affect Disord"},{"key":"4210_CR26","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.pnpbp.2012.07.004","volume":"39","author":"F Liu","year":"2012","unstructured":"Liu F, Hu M, Wang S, Guo W, Zhao J, Li J, et al. Abnormal regional spontaneous neural activity in first-episode, treatment-naive patients with late-life depression: a resting-state fMRI study. Prog Neuropsychopharmacol Biol Psychiatry. 2012;39:326\u201331. https:\/\/doi.org\/10.1016\/j.pnpbp.2012.07.004.","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"4210_CR27","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1016\/j.jagp.2017.03.017","volume":"25","author":"DC Steffens","year":"2017","unstructured":"Steffens DC, Wang L, Manning KJ, Pearlson GD. Negative affectivity, aging, and depression: results from the neurobiology of late-life depression (NBOLD) study. Am J Geriatr Psychiatry. 2017;25:1135\u201349. https:\/\/doi.org\/10.1016\/j.jagp.2017.03.017.","journal-title":"Am J Geriatr Psychiatry"},{"key":"4210_CR28","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.3233\/jad-161282","volume":"58","author":"Y Li","year":"2017","unstructured":"Li Y, Jing B, Liu H, Li Y, Gao X, Li Y, et al. Frequency-dependent changes in the amplitude of low-frequency fluctuations in mild cognitive impairment with mild depression. J Alzheimers Dis. 2017;58:1175\u201387. https:\/\/doi.org\/10.3233\/jad-161282.","journal-title":"J Alzheimers Dis"},{"key":"4210_CR29","doi-asserted-by":"publisher","first-page":"e75058","DOI":"10.1371\/journal.pone.0075058","volume":"8","author":"Y Yue","year":"2013","unstructured":"Yue Y, Yuan Y, Hou Z, Jiang W, Bai F, Zhang Z. Abnormal functional connectivity of amygdala in late-onset depression was associated with cognitive deficits. PLoS One. 2013;8:e75058. https:\/\/doi.org\/10.1371\/journal.pone.0075058.","journal-title":"PLoS One"},{"key":"4210_CR30","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1186\/2045-5380-2-6","volume":"2","author":"J Radua","year":"2012","unstructured":"Radua J, Mataix-Cols D. Meta-analytic methods for neuroimaging data explained. Biol Mood Anxiety Disord. 2012;2:6. https:\/\/doi.org\/10.1186\/2045-5380-2-6.","journal-title":"Biol Mood Anxiety Disord"},{"key":"4210_CR31","doi-asserted-by":"publisher","first-page":"13","DOI":"10.3389\/fpsyt.2014.00013","volume":"5","author":"J Radua","year":"2014","unstructured":"Radua J, Rubia K, Canales-Rodr\u00edguez EJ, Pomarol-Clotet E, Fusar-Poli P, Mataix-Cols D. Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies. Front Psychiatry. 2014;5:13. https:\/\/doi.org\/10.3389\/fpsyt.2014.00013.","journal-title":"Front Psychiatry"},{"key":"4210_CR32","doi-asserted-by":"publisher","first-page":"4038","DOI":"10.1002\/hbm.24684","volume":"40","author":"H Lai","year":"2019","unstructured":"Lai H, Wang S, Zhao Y, Zhang L, Yang C, Gong Q. Brain gray matter correlates of extraversion: a systematic review and meta-analysis of voxel-based morphometry studies. Hum Brain Mapp. 2019;40:4038\u201357. https:\/\/doi.org\/10.1002\/hbm.24684.","journal-title":"Hum Brain Mapp"},{"key":"4210_CR33","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.neubiorev.2017.04.012","volume":"78","author":"X Hu","year":"2017","unstructured":"Hu X, Du M, Chen L, Li L, Zhou M, Zhang L, et al. Meta-analytic investigations of common and distinct grey matter alterations in youths and adults with obsessive-compulsive disorder. Neurosci Biobehav Rev. 2017;78:91\u2013103. https:\/\/doi.org\/10.1016\/j.neubiorev.2017.04.012.","journal-title":"Neurosci Biobehav Rev"},{"key":"4210_CR34","doi-asserted-by":"publisher","DOI":"10.1038\/srep27131","volume":"6","author":"T Wang","year":"2016","unstructured":"Wang T, Liu J, Zhang J, Zhan W, Li L, Wu M, et al. Altered resting-state functional activity in posttraumatic stress disorder: a quantitative meta-analysis. Sci Rep. 2016;6:27131. https:\/\/doi.org\/10.1038\/srep27131.","journal-title":"Sci Rep"},{"key":"4210_CR35","doi-asserted-by":"publisher","first-page":"105055","DOI":"10.1016\/j.neubiorev.2023.105055","volume":"146","author":"J Lin","year":"2023","unstructured":"Lin J, Li L, Pan N, Liu X, Zhang X, Suo X, et al. Neural correlates of neuroticism: a coordinate-based meta-analysis of resting-state functional brain imaging studies. Neurosci Biobehav Rev. 2023;146:105055. https:\/\/doi.org\/10.1016\/j.neubiorev.2023.105055.","journal-title":"Neurosci Biobehav Rev"},{"key":"4210_CR36","doi-asserted-by":"publisher","unstructured":"Albajes-Eizagirre A, Solanes A, Fullana MA, Ioannidis JPA, Fusar-Poli P, Torrent C et al. Meta-analysis of voxel-based neuroimaging studies using seed-based d mapping with permutation of subject images (SDM-PSI). J Vis Exp. 2019. https:\/\/doi.org\/10.3791\/59841.","DOI":"10.3791\/59841"},{"key":"4210_CR37","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1136\/bmj.315.7109.629","volume":"315","author":"M Egger","year":"1997","unstructured":"Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Bmj. 1997;315:629\u201334. https:\/\/doi.org\/10.1136\/bmj.315.7109.629.","journal-title":"Bmj"},{"key":"4210_CR38","doi-asserted-by":"publisher","first-page":"e1000097","DOI":"10.1371\/journal.pmed.1000097","volume":"6","author":"D Moher","year":"2009","unstructured":"Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097. https:\/\/doi.org\/10.1371\/journal.pmed.1000097.","journal-title":"PLoS Med"},{"key":"4210_CR39","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1016\/j.neuroimage.2010.04.262","volume":"52","author":"KS Weiner","year":"2010","unstructured":"Weiner KS, Grill-Spector K. Sparsely-distributed organization of face and limb activations in human ventral temporal cortex. Neuroimage. 2010;52:1559\u201373. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.04.262.","journal-title":"Neuroimage"},{"key":"4210_CR40","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.1002\/gps.5557","volume":"36","author":"N Baruch","year":"2021","unstructured":"Baruch N, Behrman S, Wilkinson P, Bajorek T, Murphy SE, Browning M. Negative bias in interpretation and facial expression recognition in late life depression: a case control study. Int J Geriatr Psychiatry. 2021;36:1450\u20139. https:\/\/doi.org\/10.1002\/gps.5557.","journal-title":"Int J Geriatr Psychiatry"},{"key":"4210_CR41","doi-asserted-by":"publisher","first-page":"1001447","DOI":"10.3389\/fnagi.2022.1001447","volume":"14","author":"W Liu","year":"2022","unstructured":"Liu W, Li H, Lin X, Li P, Zhu X, Su S, et al. Blunted superior temporal gyrus activity to negative emotional expression after mindfulness-based cognitive therapy for late-life depression. Front Aging Neurosci. 2022;14:1001447. https:\/\/doi.org\/10.3389\/fnagi.2022.1001447.","journal-title":"Front Aging Neurosci"},{"key":"4210_CR42","doi-asserted-by":"publisher","first-page":"40","DOI":"10.3389\/fpsyg.2016.00040","volume":"7","author":"TC Ho","year":"2016","unstructured":"Ho TC, Zhang S, Sacchet MD, Weng H, Connolly CG, Henje Blom E, et al. Fusiform gyrus dysfunction is associated with perceptual processing efficiency to emotional faces in adolescent depression: a model-based approach. Front Psychol. 2016;7:40. https:\/\/doi.org\/10.3389\/fpsyg.2016.00040.","journal-title":"Front Psychol"},{"key":"4210_CR43","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.tics.2013.06.009","volume":"17","author":"EM Aminoff","year":"2013","unstructured":"Aminoff EM, Kveraga K, Bar M. The role of the parahippocampal cortex in cognition. Trends Cogn Sci. 2013;17:379\u201390. https:\/\/doi.org\/10.1016\/j.tics.2013.06.009.","journal-title":"Trends Cogn Sci"},{"key":"4210_CR44","doi-asserted-by":"publisher","first-page":"bhae295","DOI":"10.1093\/cercor\/bhae295","volume":"34","author":"D Bencze","year":"2024","unstructured":"Bencze D, Mari\u00e1n M, Sz\u0151ll\u0151si \u00c1, Pajkossy P, Nemecz Z, Keresztes A, et al. Contribution of the lateral occipital and parahippocampal cortices to pattern separation of objects and contexts. Cereb Cortex. 2024;34:bhae295. https:\/\/doi.org\/10.1093\/cercor\/bhae295.","journal-title":"Cereb Cortex"},{"key":"4210_CR45","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.jad.2014.03.044","volume":"163","author":"W Guo","year":"2014","unstructured":"Guo W, Liu F, Xun G, Hu M, Guo X, Xiao C, et al. Disrupted white matter integrity in first-episode, drug-naive, late-onset depression. J Affect Disord. 2014;163:70\u201375. https:\/\/doi.org\/10.1016\/j.jad.2014.03.044.","journal-title":"J Affect Disord"},{"key":"4210_CR46","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1002\/gps.4165","volume":"29","author":"SL Weisenbach","year":"2014","unstructured":"Weisenbach SL, Kassel MT, Rao J, Weldon AL, Avery ET, Briceno EM, et al. Differential prefrontal and subcortical circuitry engagement during encoding of semantically related words in patients with late-life depression. Int J Geriatr Psychiatry. 2014;29:1104\u201315. https:\/\/doi.org\/10.1002\/gps.4165.","journal-title":"Int J Geriatr Psychiatry"},{"key":"4210_CR47","doi-asserted-by":"publisher","first-page":"2034","DOI":"10.1093\/scan\/nsu006","volume":"9","author":"V Zamoscik","year":"2014","unstructured":"Zamoscik V, Huffziger S, Ebner-Priemer U, Kuehner C, Kirsch P. Increased involvement of the parahippocampal gyri in a sad mood predicts future depressive symptoms. Soc Cogn Affect Neurosci. 2014;9:2034\u201340. https:\/\/doi.org\/10.1093\/scan\/nsu006.","journal-title":"Soc Cogn Affect Neurosci"},{"key":"4210_CR48","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1176\/appi.ajp.2008.08050721","volume":"165","author":"AT Beck","year":"2008","unstructured":"Beck AT. The evolution of the cognitive model of depression and its neurobiological correlates. Am J Psychiatry. 2008;165:969\u201377. https:\/\/doi.org\/10.1176\/appi.ajp.2008.08050721.","journal-title":"Am J Psychiatry"},{"key":"4210_CR49","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1093\/scan\/nsv087","volume":"11","author":"WL Tseng","year":"2016","unstructured":"Tseng WL, Thomas LA, Harkins E, Pine DS, Leibenluft E, Brotman MA. Neural correlates of masked and unmasked face emotion processing in youth with severe mood dysregulation. Soc Cogn Affect Neurosci. 2016;11:78\u201388. https:\/\/doi.org\/10.1093\/scan\/nsv087.","journal-title":"Soc Cogn Affect Neurosci"},{"key":"4210_CR50","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1016\/j.bpsc.2016.09.001","volume":"2","author":"NL Colich","year":"2017","unstructured":"Colich NL, Ho TC, Foland-Ross LC, Eggleston C, Ordaz SJ, Singh MK, et al. Hyperactivation in cognitive control and visual attention brain regions during emotional interference in adolescent depression. Biol Psychiatry Cogn Neurosci Neuroimaging. 2017;2:388\u201395. https:\/\/doi.org\/10.1016\/j.bpsc.2016.09.001.","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"4210_CR51","doi-asserted-by":"publisher","first-page":"107986","DOI":"10.1016\/j.biopsycho.2020.107986","volume":"157","author":"RC McIntosh","year":"2020","unstructured":"McIntosh RC, Hoshi R, Nomi JS, Di Bello M, Goodman ZT, Kornfeld S, et al. Neurovisceral integration in the executive control network: a resting state analysis. Biol Psychol. 2020;157:107986. https:\/\/doi.org\/10.1016\/j.biopsycho.2020.107986.","journal-title":"Biol Psychol"},{"key":"4210_CR52","doi-asserted-by":"publisher","first-page":"1655","DOI":"10.1016\/j.neuroimage.2011.02.070","volume":"56","author":"D Swick","year":"2011","unstructured":"Swick D, Ashley V, Turken U. Are the neural correlates of stopping and not going identical? Quantitative meta-analysis of two response inhibition tasks. Neuroimage. 2011;56:1655\u201365. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.02.070.","journal-title":"Neuroimage"},{"key":"4210_CR53","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.pnpbp.2017.06.010","volume":"79","author":"D Y\u00fcksel","year":"2017","unstructured":"Y\u00fcksel D, Dietsche B, Forstner AJ, Witt SH, Maier R, Rietschel M. et al. Polygenic risk for depression and the neural correlates of working memory in healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry. 2017;79:67\u201376. https:\/\/doi.org\/10.1016\/j.pnpbp.2017.06.010.","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"4210_CR54","doi-asserted-by":"publisher","first-page":"1538","DOI":"10.1007\/s11682-022-00628-7","volume":"16","author":"Z Zhu","year":"2022","unstructured":"Zhu Z, Wang Y, Lau W, Wei X, Liu Y, Huang R, et al. Hyperconnectivity between the posterior cingulate and middle frontal and temporal gyrus in depression: based on functional connectivity meta-analyses. Brain Imaging Behav. 2022;16:1538\u201351. https:\/\/doi.org\/10.1007\/s11682-022-00628-7.","journal-title":"Brain Imaging Behav"},{"key":"4210_CR55","doi-asserted-by":"publisher","first-page":"120589","DOI":"10.1016\/j.neuroimage.2024.120589","volume":"292","author":"N Kawata","year":"2024","unstructured":"Kawata N, Nishitani S, Yao A, Takiguchi S, Mizuno Y, Mizushima S, et al. Brain structures and functional connectivity in neglected children with no other types of maltreatment. Neuroimage. 2024;292:120589. https:\/\/doi.org\/10.1016\/j.neuroimage.2024.120589.","journal-title":"Neuroimage"},{"key":"4210_CR56","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1002\/mrm.25036","volume":"72","author":"J Qin","year":"2014","unstructured":"Qin J, Wei M, Liu H, Yan R, Luo G, Yao Z, et al. Abnormal brain anatomical topological organization of the cognitive-emotional and the frontoparietal circuitry in major depressive disorder. Magn Reson Med. 2014;72:1397\u2013407. https:\/\/doi.org\/10.1002\/mrm.25036.","journal-title":"Magn Reson Med"},{"key":"4210_CR57","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-020-01036-5","volume":"10","author":"J Gong","year":"2020","unstructured":"Gong J, Wang J, Qiu S, Chen P, Luo Z, Wang J, et al. Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis. Transl Psychiatry. 2020;10:353. https:\/\/doi.org\/10.1038\/s41398-020-01036-5.","journal-title":"Transl Psychiatry"},{"key":"4210_CR58","doi-asserted-by":"publisher","first-page":"kkae009","DOI":"10.1093\/psyrad\/kkae009","volume":"4","author":"Y Ma","year":"2024","unstructured":"Ma Y, Zou Y, Liu X, Chen T, Kemp GJ, Gong Q, et al. Social intelligence mediates the protective role of resting-state brain activity in the social cognition network against social anxiety. Psychoradiology. 2024;4:kkae009. https:\/\/doi.org\/10.1093\/psyrad\/kkae009.","journal-title":"Psychoradiology"},{"key":"4210_CR59","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.jad.2016.04.001","volume":"199","author":"W Peng","year":"2016","unstructured":"Peng W, Chen Z, Yin L, Jia Z, Gong Q. Essential brain structural alterations in major depressive disorder: a voxel-wise meta-analysis on first episode, medication-naive patients. J Affect Disord. 2016;199:114\u201323. https:\/\/doi.org\/10.1016\/j.jad.2016.04.001.","journal-title":"J Affect Disord"},{"key":"4210_CR60","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.jagp.2013.10.001","volume":"23","author":"CM Marano","year":"2015","unstructured":"Marano CM, Workman CI, Lyman CH, Munro CA, Kraut MA, Smith GS. Structural imaging in late-life depression: association with mood and cognitive responses to antidepressant treatment. Am J Geriatr Psychiatry. 2015;23:4\u201312. https:\/\/doi.org\/10.1016\/j.jagp.2013.10.001.","journal-title":"Am J Geriatr Psychiatry"},{"key":"4210_CR61","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s11682-013-9274-8","volume":"8","author":"KL Bessette","year":"2014","unstructured":"Bessette KL, Nave AM, Caprihan A, Stevens MC. White matter abnormalities in adolescents with major depressive disorder. Brain Imaging Behav. 2014;8:531\u201341. https:\/\/doi.org\/10.1007\/s11682-013-9274-8.","journal-title":"Brain Imaging Behav"},{"key":"4210_CR62","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1176\/appi.ajp.161.7.1293","volume":"161","author":"WD Taylor","year":"2004","unstructured":"Taylor WD, MacFall JR, Payne ME, McQuoid DR, Provenzale JM, Steffens DC, et al. Late-life depression and microstructural abnormalities in dorsolateral prefrontal cortex white matter. Am J Psychiatry. 2004;161:1293\u20136. https:\/\/doi.org\/10.1176\/appi.ajp.161.7.1293.","journal-title":"Am J Psychiatry"},{"key":"4210_CR63","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1093\/cercor\/bhm257","volume":"18","author":"AJ Nelson","year":"2008","unstructured":"Nelson AJ, Chen R. Digit somatotopy within cortical areas of the postcentral gyrus in humans. Cereb Cortex. 2008;18:2341\u201351. https:\/\/doi.org\/10.1093\/cercor\/bhm257.","journal-title":"Cereb Cortex"},{"key":"4210_CR64","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1097\/psy.0000000000000697","volume":"81","author":"M Zu","year":"2019","unstructured":"Zu M, Wang A, Bai T, Xie W, Guan J, Tian Y, et al. Resting-state functional connectivity between centromedial amygdala and insula as related to somatic symptoms in depressed patients: a preliminary study. Psychosom Med. 2019;81:434\u201340. https:\/\/doi.org\/10.1097\/psy.0000000000000697.","journal-title":"Psychosom Med"},{"key":"4210_CR65","doi-asserted-by":"publisher","first-page":"2176","DOI":"10.1212\/01.wnl.0000130081.96533.85","volume":"62","author":"Y Tamura","year":"2004","unstructured":"Tamura Y, Hoshiyama M, Inui K, Nakata H, Qiu Y, Ugawa Y, et al. Facilitation of A[delta]-fiber-mediated acute pain by repetitive transcranial magnetic stimulation. Neurology. 2004;62:2176\u201381. https:\/\/doi.org\/10.1212\/01.wnl.0000130081.96533.85.","journal-title":"Neurology"},{"key":"4210_CR66","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1016\/j.jad.2021.08.143","volume":"295","author":"P Liu","year":"2021","unstructured":"Liu P, Tu H, Zhang A, Yang C, Liu Z, Lei L, et al. Brain functional alterations in MDD patients with somatic symptoms: a resting-state fMRI study. J Affect Disord. 2021;295:788\u201396. https:\/\/doi.org\/10.1016\/j.jad.2021.08.143.","journal-title":"J Affect Disord"},{"key":"4210_CR67","doi-asserted-by":"publisher","first-page":"111578","DOI":"10.1016\/j.pscychresns.2022.111578","volume":"328","author":"Y Ye","year":"2023","unstructured":"Ye Y, Wang C, Lan X, Li W, Fu L, Zhang F, et al. Abnormal amygdala functional connectivity in MDD patients with insomnia complaints. Psychiatry Res Neuroimaging. 2023;328:111578 https:\/\/doi.org\/10.1016\/j.pscychresns.2022.111578.","journal-title":"Psychiatry Res Neuroimaging"},{"key":"4210_CR68","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1038\/nrn2478","volume":"9","author":"P Nachev","year":"2008","unstructured":"Nachev P, Kennard C, Husain M. Functional role of the supplementary and pre-supplementary motor areas. Nat Rev Neurosci. 2008;9:856\u201369. https:\/\/doi.org\/10.1038\/nrn2478.","journal-title":"Nat Rev Neurosci"},{"key":"4210_CR69","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.biopsych.2005.04.024","volume":"58","author":"GS Alexopoulos","year":"2005","unstructured":"Alexopoulos GS, Kiosses DN, Heo M, Murphy CF, Shanmugham B, Gunning-Dixon F. Executive dysfunction and the course of geriatric depression. Biol Psychiatry. 2005;58:204\u201310. https:\/\/doi.org\/10.1016\/j.biopsych.2005.04.024.","journal-title":"Biol Psychiatry"},{"key":"4210_CR70","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.jad.2011.07.025","volume":"135","author":"SJ Colloby","year":"2011","unstructured":"Colloby SJ, Firbank MJ, Thomas AJ, Vasudev A, Parry SW, O'Brien JT. White matter changes in late-life depression: a diffusion tensor imaging study. J Affect Disord. 2011;135:216\u201320. https:\/\/doi.org\/10.1016\/j.jad.2011.07.025.","journal-title":"J Affect Disord"},{"key":"4210_CR71","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1038\/s41380-023-02327-1","volume":"29","author":"F W\u00fcthrich","year":"2024","unstructured":"W\u00fcthrich F, Lefebvre S, Mittal VA, Shankman SA, Alexander N, Brosch K, et al. The neural signature of psychomotor disturbance in depression. Mol Psychiatry. 2024;29:317\u201326. https:\/\/doi.org\/10.1038\/s41380-023-02327-1.","journal-title":"Mol Psychiatry"},{"key":"4210_CR72","doi-asserted-by":"publisher","first-page":"3156","DOI":"10.1002\/hbm.25425","volume":"42","author":"H Lan","year":"2021","unstructured":"Lan H, Suo X, Li W, Li N, Li J, Peng J, et al. Abnormalities of intrinsic brain activity in essential tremor: a meta-analysis of resting-state functional imaging. Hum Brain Mapp. 2021;42:3156\u201367. https:\/\/doi.org\/10.1002\/hbm.25425.","journal-title":"Hum Brain Mapp"},{"key":"4210_CR73","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.pnpbp.2017.02.001","volume":"75","author":"M Zhou","year":"2017","unstructured":"Zhou M, Hu X, Lu L, Zhang L, Chen L, Gong Q, et al. Intrinsic cerebral activity at resting state in adults with major depressive disorder: a meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2017;75:157\u201364. https:\/\/doi.org\/10.1016\/j.pnpbp.2017.02.001.","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"4210_CR74","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.bpsc.2022.06.003","volume":"8","author":"N Pan","year":"2023","unstructured":"Pan N, Wang S, Qin K, Li L, Chen Y, Zhang X, et al. Common and distinct neural patterns of attention-deficit\/hyperactivity disorder and borderline personality disorder: a multimodal functional and structural meta-analysis. Biol Psychiatry Cogn Neurosci Neuroimaging. 2023;8:640\u201350. https:\/\/doi.org\/10.1016\/j.bpsc.2022.06.003.","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"4210_CR75","doi-asserted-by":"publisher","first-page":"894646","DOI":"10.3389\/fpsyt.2022.894646","volume":"13","author":"C Liu","year":"2022","unstructured":"Liu C, Pan W, Zhu D, Mao P, Ren Y, Ma X. Altered intrinsic brain activity in patients with late-life depression: a resting-state functional MRI study. Front Psychiatry. 2022;13:894646.","journal-title":"Front Psychiatry"}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-04210-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-04210-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-04210-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T19:02:39Z","timestamp":1791486159000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-026-04210-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,29]]},"references-count":75,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["4210"],"URL":"https:\/\/doi.org\/10.1038\/s41398-026-04210-3","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,29]]},"assertion":[{"value":"21 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Ethics"}}],"article-number":"538"}}