The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.
Anisotropic Kernels for Coordinate-Based Meta-Analyses of Neuroimaging Studies
Open accessAbstract
Peak-based meta-analyses of neuroimaging studies create, for each study, a brain map of effect size or peak likelihood by convolving a kernel with each reported peak. A kernel is a small matrix applied in order that voxels surrounding the peak have a value similar to, but slightly lower than that of the peak. Current kernels are isotropic, i.e., the value of a voxel close to a peak only depends on the Euclidean distance between the voxel and the peak. However, such perfect spheres of effect size or likelihood around the peak are rather implausible: a voxel that correlates with the peak across individuals is more likely to be part of the cluster of significant activation or difference than voxels uncorrelated with the peak. This paper introduces anisotropic kernels, which assign different values to the different neighboring voxels based on the spatial correlation between them. They are specifically developed for effect-size signed differential mapping (ES-SDM), though might be easily implemented in other meta-analysis packages such as activation likelihood estimation (ALE). The paper also describes the creation of the required correlation templates for gray matter/BOLD response, white matter, cerebrospinal fluid, and fractional anisotropy. Finally, the new method is validated by quantifying the accuracy of the recreation of effect size maps from peak information. This empirical validation showed that the optimal degree of anisotropy and full-width at half-maximum (FWHM) might vary largely depending on the specific data meta-analyzed. However, it also showed that the recreation substantially improved and did not depend on the FWHM when full anisotropy was used. Based on these results, we recommend the use of fully anisotropic kernels in ES-SDM and ALE, unless optimal meta-analysis-specific parameters can be estimated based on the recreation of available statistical maps. The new method and templates are freely available at http://www.sdmproject.com/.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“we used an improved analysis method which has various strengths compared to other neuroimaging meta-analytical techniques (Radua et al., 2014)”
From Meta-analyses of the neural mechanisms and predictors of response to psychotherapy in depression and anxiety (2018) · cites this paper as Radua et al., 2014
In the citing paper
“This method, which has been validated and used in several structural and functional fMRI studies creates a brain map of the effect size of the difference between the two conditions (CS+ and CS -)for each study (either from SPMs or from peak information) and afterwards conducts a voxel-wise random-effects meta-analysis (weighting the studies for sample size and variance) 13,[20][21][22]”
From Neural signatures of human fear conditioning: an updated and extended meta-analysis of fMRI studies (2016) · cites this paper as [21]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090
A note on two problems in connexion with graphs
Dijkstra, E. (1959) · Numerische Mathematik · doi:10.1007/bf01386390 · Cited by 24,351
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009) · Human Brain Mapping · doi:10.1002/hbm.20718 · Cited by 1,924
Meta-analysis of the functional neuroanatomy of single-word reading: method and validation
Turkeltaub, P. E., Eden, G. F., Jones, K. M., & Zeffiro, T. A. (2002) · NeuroImage · doi:10.1006/nimg.2002.1131 · Cited by 1,604
Activation Likelihood Estimation meta-analysis revisited
Eickhoff, S., Bzdok, D., Laird, A., Kurth, F., & Fox, P. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.017 · Cited by 1,448
Wager, T. D., Phan, K. L., Liberzon, I., & Taylor, S. F. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00078-8 · Cited by 1,150
Flagged first, then by citations
1 of the 35 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 406
Rupert, P. E., & Pogue‐Geile, M. F. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad115 · Cited by 6
Shuai, Y., Wang, B., Zhang, X., Shen, Z., Han, S., & Zhou, C. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1452216 · Cited by 7
Cortical thickness in Parkinson disease
Sheng, L., Zhao, P., Ma, H., Raduà, J., Yi, Z., Shi, Y., Zhong, J., Dai, Z., & Pan, P. (2020) · Medicine · doi:10.1097/md.0000000000021403 · Cited by 6
Soldevila-Matías, P., Albajes‐Eizagirre, A., Raduà, J., García‐Martí, G., Rubio, J. M., Tordesillas‐Gutiérrez, D., Fuentes-Durá, I., Solanes, A., Fortea, L., Oliver, D., et al. (2022) · Revista de Psiquiatría y Salud Mental (English Edition) · doi:10.1016/j.rpsmen.2022.06.004 · Cited by 6
Xie, H., Cao, Y., Long, X., Xiao, H., Wang, X., Qiu, C., & Jia, Z. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.09.015 · Cited by 6
Aarts, I., Thorsen, A. L., Vriend, C., Planting, C. H. M., van den Heuvel, O. A., & Thomaes, K. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00831-0 · Cited by 11
Tian, Q., Li, Q., Lai, H., Shekara, A., Li, J., & Wang, S. (2025) · Journal of Evidence-Based Medicine · doi:10.1111/jebm.12675 · Cited by 6
Li, Y., Liu, X., Li, J., Zhang, Q., Pan, N., Luo, K., Kemp, G. J., & Gong, Q. (2025) · Psychological Medicine · doi:10.1017/s0033291725101141 · Cited by 5
Voxel-based meta-analysis of gray matter abnormalities in idiopathic generalized epilepsy
Huang, X. Y., Mao, L., Lin, Q., Huang, K., Li, Y., Liu, P., Cao, D., Li, W., Li, W., Zhao, L., et al. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf201 · Cited by 5
Wang, J., Yang, Y., Liu, J., Ren, H., & Bi, H. (2025) · Developmental Science · doi:10.1111/desc.70093 · Cited by 5
Guo, Z., Xiao, S., Sun, S., Su, T., Tang, X., Chen, G., Chen, P., Chen, R., Chen, C., Gong, J., et al. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70218 · Cited by 5
Li, L., Liu, Y., Luo, T., Tao, Y., Zhao, S., Liu, P., Yang, Z., Jiang, Y., Zhang, M., Duan, X., et al. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06711-9 · Cited by 6
Ethnicity, minority status, and inter-group bias: A systematic meta-analysis on fMRI studies
Saarinen, A. I. L., Keltikangas‐Järvinen, L., & Ravaja, N. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1072345 · Cited by 5
Li, L., Yang, W., Wan, Y., Shen, H., Wang, T., Ping, L., Liu, C., Chen, M., Yu, H., Jin, S., et al. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00791-5 · Cited by 5
Xiao, S., Yang, Z., Lin, Z., Chen, L., Liao, W., Wang, J., Gao, C., Lu, J., Song, Y. S., Su, S., et al. (2024) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29568 · Cited by 5
Gray Matter Reduction in Currently Depressed Patients of Major Depressive Disorder: A Meta-Analysis
Chen, L., Bian, Y., Han, X., Chen, L., Zhu, Y., & Chen, D. (2017) · Neuropsychiatry · doi:10.4172/neuropsychiatry.1000254 · Cited by 5
Regional abnormalities of white and gray matter in youths with conduct problems
Dong, M., Cheng, X., Li, Y., Ji, S., Yu, H., Ping, L., Liu, C., & Zhou, C. (2025) · Brain Imaging and Behavior · doi:10.1007/s11682-025-00973-3 · Cited by 4
Neuroimaging abnormalities in functional/dissociative seizures: a meta-analysis
Homayoun, M., Lo, A. P.-K., Sinclair, B., Nazem-Zadeh, M.-R., Neal, A. J., Winton‐Brown, T., Kwan, P., & Kanaan, R. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106439 · Cited by 4
Cheng, L.-L., Zhang, J., Xi, H.-Y., Li, M.-T., Hu, S., Yuan, W.-T., Wang, P., Chen, L.-F., Zhan, L., & Jia, X.-Z. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1415411 · Cited by 5
Pacheco‐Barrios, K., Heemels, R. E., Martínez-Magallanes, D., Daibes, M., Naqui, C. X., Andrade, M., & Fregni, F. (2024) · Cortex · doi:10.1016/j.cortex.2024.09.001 · Cited by 4
Meta-analysis of resting-state fMRI in cervical spondylosis patients using AES-SDM
Zhang, Q., & Ding, H. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1439939 · Cited by 4
Ren, H., Li, Y., Bi, H., & Yang, Y. (2024) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2024.100519 · Cited by 5
Dietze, L. M. F., McWhinney, S. R., Raduà, J., & Hájek, T. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1108360 · Cited by 4
Jing, Y., Zhang, M., Liu, Y., Gao, Y., Zhang, B., Chen, C., Xuekelaiti, Z., Zhou, Y., Zhang, C., Li, M., et al. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07483-y · Cited by 4
Structural connectivity abnormalities in suicidal thoughts and behaviours: a meta-analysis
Lim, L. L., Raduà, J., & Beyh, A. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03699-4 · Cited by 5
Wang, R., He, Y., Myachykov, A., Leong, C., Gao, W., Zhang, C., He, Y., & Yuan, Z. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121926 · Cited by 3
Wan, X., Zhang, P., Jiang, Y., Liu, G., Ma, L., Zhang, J., & Zhang, J. P. (2025) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-024-01946-1 · Cited by 4
Merola, G. P., Tarchi, L., Saccaro, L. F., Delavari, F., Piguet, C., Ville, D. V. D., Castellini, G., & Ricca, V. (2026) · Nature Mental Health · doi:10.1038/s44220-025-00573-6 · Cited by 3
Resting-state functional brain alterations in functional dyspepsia
Sun, R., Zhou, J., Qu, Y., Zhou, J., Xu, G., & Cheng, S. (2020) · Medicine · doi:10.1097/md.0000000000023292 · Cited by 3
Monteiro, J., Castelhano, J., Pignatelli, D., Tartaro, A., & Cera, N. (2022) · Applied Sciences · doi:10.3390/app122111249 · Cited by 3
Aberrant resting-state brain activity in Huntington's disease: A voxel-based meta-analysis
Zhang, S., Lin, J., Cheng, Y., Hou, Y., & Shang, H. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1124158 · Cited by 3
Li, G., Liu, Y., & Chen, A. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-02478-9 · Cited by 4
“Neurally,we used seed-based d mapping (SDM) to quantify CWMT-related changes in task-related brain activation; SDM estimates effect sizes and synthesises positive,negativeandnull fi ndingswithinasingleframework,yieldingstable voxelwise meta-analytic inference 22,23 .”
Zhu, T., Chen, J., Du, Y., Li, T., Jia, X., & Lv, Y. (2025) · Brain Imaging and Behavior · doi:10.1007/s11682-025-00977-z · Cited by 2
A meta-analysis of resting-state fMRI in postherpetic neuralgia using AES-SDM
Wu, G., Luo, Y., Guo, D., Lv, S., & Yang, J. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1556639 · Cited by 2
Zhang, Z. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-02944-2 · Cited by 2
Lányi, O., Zahemszky, D., Wenning, A. S., Engh, M., Molnár, Z., Horvath, A., Hegyi, P., & Csukly, G. (2025) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.05.017 · Cited by 1
Yuan, C., Mi, S., Yang, C., Yuan, L., Chang, F., Chen, J., Shi, R., Su, Y., He, Y., Wang, Z., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120477 · Cited by 2
Chen, Y., Wang, B., Wang, X., Wu, M., Yan, Z., Xu, X., & Yan, S. (2025) · Neuropsychology Review · doi:10.1007/s11065-025-09681-7 · Cited by 4
Chen, W., Li, T., Luo, J., Chen, J., & Lv, Y. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03851-8 · Cited by 2
Acar, F., Maumet, C., Heuten, T., Vervoort, M., Bossier, H., Seurinck, R., & Moerkerke, B. (2023) · Neuroinformatics · doi:10.1007/s12021-023-09643-5 · Cited by 2
Wang, R., Lu, L., Gao, Y., Qiu, H., Xu, H., Huang, X., Sweeney, J. A., Gong, Q., & Strawn, J. R. (2024) · CNS Spectrums · doi:10.1017/s1092852924000166 · Cited by 2
Fu, X., Yao, Y., An, S., Pan, N., Lin, X., Gong, Q., Deng, H., & Chen, Y. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf052 · Cited by 2
Abnormalities of intrinsic brain activity in irritable bowel syndrome (IBS)
Li, J., Wang, C., Li, Z., Fu, B., Han, Q., & Ye, M. (2021) · Medicine · doi:10.1097/md.0000000000025883 · Cited by 2
Adjusting for Variable Brain Coverage in Voxel-Based fMRI Meta-AnalysisPreprint
Cutler, J., Raduà, J., & Campbell-Meiklejohn, D. K. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/457028 · Cited by 2
Zheng, Y., Huai, Y.-Y., Qiao, Y., Zang, Y., Luo, H., & Zhao, N. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116495 · Cited by 1
The role of the human cerebellum in representing social behavior sequences: An SDM-PSI meta-analysis
Zhang, Y., Qiu, Y., Lin, S. T., Zheng, X., Tan, L., Liu, X., & Huang, R. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121277 · Cited by 1
Li, Z., Jin, X., Zhang, M., Wang, H., Liu, W., Wang, B., Wu, B., & Li, X. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1618408 · Cited by 1
Qiu, J., Wang, H., Zhao, Y., Shen, L., & Chen, S. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1660550 · Cited by 1
Altered Local Spontaneous Brain Activity in Cervical Spondylotic Myelopathy: A Meta-Analysis
Zhang, R., Yuan, W.-H., Yang, Q., Lu, Z., Zhao, Z., Shao, Q., Zhang, X., & Wang, W. (2025) · World Neurosurgery · doi:10.1016/j.wneu.2025.124599 · Cited by 1
Licciardo, D., Matti, C., Benelli, A., Isella, Appollonio, I. M., & Santarnecchi, E. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106554 · Cited by 1
The role of cue transparency in task switching: an SDM-PSI meta-analysis in healthy adults
Zheng1, X., Qiu, Y., Lin, S. T., Deng, W., Jiang, Z., Wang, B. A., & Huang, R. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01080-7 · Cited by 1
Wu, X., Wang, P., Lang, X., Guo, Q., Jiang, Y., Xu, J., Wang, Q., Kang, Y., Liu, F., Ding, H., et al. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-07895-4 · Cited by 1
Guo, Y., Lu, G., Li, W., Wang, X. R., Liu, Y., Zhou, S., Ma, L., Mei, B., Zhang, M., Wei, Y., et al. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.112022 · Cited by 1
Xiang, J., Ran, J., Zhu, P., Wang, Y., Deng, X., Yang, B., Zhang, L., Chen, X., Guo, J., Liu, J., et al. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02469-0 · Cited by 1
Magnani, F. G., Cacciatore, M., Clementi, L., Barbadoro, F., Ippoliti, C., Sebastiano, D. R., Stanziano, M., Nigri, A., Medina, J. P., Rosazza, C., et al. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106837 · Cited by 1
Lan, H., Suo, X., Zuo, C., Ni, W., Wang, S., Kemp, G. J., & Gong, Q. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002538 · Cited by 1
Pierce, Z. P., & Black, J. M. (2024) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2024.100770 · Cited by 1
RetractedZhang, E., Hauson, A. O., Pollard, A. A., Zelman, D. C., Ulibarri, M. D., Kapalka, G. M., Fortea, L., & Raduà, J. (2025) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2025.111960 · Cited by 1
Zong, X., Liu, H., & Zhao, X.-Y. (2025) · European journal of medical research · doi:10.1186/s40001-025-02461-2 · Cited by 2
Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis
Soldevila-Matías, P., Schoretsanitis, G., Tordesillas‐Gutiérrez, D., Cuesta, M. J., de Filippis, R., Ayesa‐Arriola, R., González-Vivas, C., Setién‐Suero, E., Verdolini, N., Sanjuán, J., et al. (2022) · Revista de Psiquiatría y Salud Mental (English Edition) · doi:10.1016/j.rpsmen.2022.06.007 · Cited by 1
The influence of study characteristics on coordinate-based fMRI meta-analysesPreprint
Bossier, H., Seurinck, R., Kühn, S., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Martinot, J., Lemaître, H., Paus, T., Millenet, S., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/144071
Carlisi, C. O. (2017) · Research Portal (King's College London)
Wise, T., & Gruber, O. (2017)
Tillmann, S., Elbrønd-Bek, H., Gøtzsche, C. R., Christiansen, S. H., Mathé, A. A., Woldbye, D. P. D., & Wegener, G. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw043.015
Tanave, A., Koide, T., Sumiyama, K., & Takahashi, A. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw043.017
PS19. White Matter Correlates of Anxiety Sensitivity in Panic Disorder
Kim, M., Kim, B., Lee, K. S., Sung, G., Choi, T. K., & Lee, S. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw043.019
Koide, T., & Tanave, A. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw043.016
P.228 Structural grey matter and functional MRI findings in schizophrenia patients: a meta-analysis
Pérez, M. P., Fernandez-Rodriguez, M. L., de Barros, M. A. P., & Morgado, P. F. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.09.170
Towards a neurocognitive model of pain-related fear
Biggs, E. E. (2021) · Research Publications (Maastricht University) · doi:10.26481/dis.20210312eb
Pérez, M. P., Moreira, P. S., Ferreira, V. D. M., Radua, Q., Sousa, N., Soriano‐Mas, C., & Morgado, P. F. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.09.494
The impact of age-related hearing loss on structural neuroanatomy: a meta-analysisPreprint
Slade, K., Reilly, J. H., Jablonska, K., Smith, E., Hayes, L. D., Plack, C. J., & Nuttall, H. E. (2022) · doi:10.31234/osf.io/w9upq
Gunasekera, B., Davies, C., Blest‐Hopley, G., Wilson, R. P., Busatto, G. F., Crippa, J. A. S., Duran, F., Zuardi, A. W., Veronese, M., Raduà, J., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1990777/v1
Pierce, Z. P., Bogatz, A. S., Johnson, E. R., Lear, B. E., Nelson, C., & Black, J. M. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.05.029
RetractedYang, X., Huang, Y., Liu, W., Wu, T., Liu, Z., Gao, S., Zheng, Q., Meng, S., Zheng, J.-W., Lu, L., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5225732
Chen, Q., Liu, Y., Yang, X. N., Li, B., & Liu, L. (2025) · Journal of Neuroimaging · doi:10.1111/jon.70043
Neural correlates of decision making and executive function in suicidal thoughts and behaviors
Tian, F., Zhou, L., Wang, X., Roberts, N., & Pang, H. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1676986
Chen, X., Li, X., Lu, T., Li, Y., Deng, W., Wu, F., Chen, J., & Du, Q. (2025) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-025-07135-w
Additional file 1 of Is there a reliable brain morphological signature for migraine?
Wang, H. Z., Wang, W. H., Shi, H. C., & Yuan, C. H. (2020) · Figshare · doi:10.6084/m9.figshare.12644620
Zheng, Q., Wu, T., Yang, X., Zifeng, W., Peng, J., Huang, Y., Song, Y., Lin, X., Anise, M. S. W., Jia, T., et al. (2026) · medRxiv · doi:10.64898/2026.01.23.26344591
Liu, X.-Y., Han, X., Gu, S., Yang, H., Luo, C.-X., Wang, S., Li, W.-H., & Pan, P. (2026) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2026.1693722
Ran, X., Zhang, W., Lv, M., Huang, R., Wang, L., Zhang, G., & Wang, A. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70430
Tang, Z., Huang, R., Tan, X., & Huang, L. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1654758
Zhang, Q., Hou, Y.-Z., Ding, H., & Liu, J. (2026) · Psychological Medicine · doi:10.1017/s0033291726103419
Pierce, Z. P., & Nelson, C. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112207
Central mechanisms of chronic pruritus : functional and structural brain imaging
Najafi, P. (2020) · theses.fr (ABES) · doi:10.70675/2d26d334z911bz49daza026z324ddb027a40
AES-SDM meta-analysis of spontaneous brain activity in cerebral small vessel disease
Li, Y., Yang, Z., Wang, R. P., & Xu, Z. J. (2026) · BMC Medical Imaging · doi:10.1186/s12880-026-02327-x
Gong, S., Huang, B., Pan, N., Kemp, G. J., Wang, S., Gao, B., & Gong, Q. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106690
Han, S., Li, J., Zhang, H., Ping, L., & Zhou, C. (2026) · BMC Endocrine Disorders · doi:10.1186/s12902-026-02276-0
Rao, Y., Zhang, J., Ni, J., Zeng, M., Jiali, W., Xu, H., Zhao, Z., Wang, C., & Shan, C. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1820631
Ding, H., Lu, Y., Hou, Y.-Z., Chen, X., Peng, J., Chen, X., Li, J., & Zhang, Q. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-08154-2
Tang, L., Liu, X., Li, Y. F., Pan, N., Li, J., Zhou, J., Becker, B., & Gong, Q. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1803658
How visual attention underpins reading: Converging evidence from a meta-analysis of fMRI studies
Gao, Y., Zhu, B., & Zhou, W. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122114
Brain Structural Abnormalities in Addiction Disorders: Transdiagnostic Meta‐Analyses
Banaja, D. M. A., Hernandez, E. T., Franklin, C. G., Fox, P. M., Okafor, C. N., Ginsburg, B. C., Salinas, F. S., Moring, J. C., & Fox, P. T. (2026) · Human Brain Mapping · doi:10.1002/hbm.70551
Fang, K. K., Xu, V. E., Lee, T. M.-C., & Shao, R. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106885
Lu, C., Jiang, M., Wang, Y., Du, G., Yang, C., Wei, J., Lin, L., & Tang, G. (2026) · International Dental Journal · doi:10.1016/j.identj.2026.109754
Qiu, W., Li, S., Zhang, A., Yu, H., Cui, J., Xu, Y., Ping, L., Zheng, H., Dong, C., Li, K., et al. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01182-2
Li, W., Huang, X., Huang, K., Zhang, Y., Li, Y., Liu, P., Cao, D., Li, W., Gong, Q., Zhou, D., et al. (2026) · Neurological Sciences · doi:10.1007/s10072-026-09257-0
Yan, X., & Wang, Z. (2026) · Developmental Science · doi:10.1111/desc.70265
Metadata
- Authors
- Radua, J., Rubia, K., Canales-Rodríguez, E. J., Pomarol-Clotet, E., Fusar-Poli, P., & Mataix-Cols, D.
- Affiliations
- King's College London (GB)
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2014
- Volume
- 5
- Pages
- 13-13
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC3919071
- OpenAlex
- W2017727635
- Cited by
- 406
- References
- 35
- Citations by year
- 2026: 35 · 2025: 41 · 2024: 33 · 2023: 40 · 2022: 47 · 2021: 44 · 2020: 33 · 2019: 29 · 2018: 36 · 2017: 27 · 2016: 27 · 2015: 11 · 2014: 3
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- anisotropic kernels, coordinate-based meta-analysis, activation likelihood estimation, BOLD signal, white matter, cerebrospinal fluid, fractional anisotropy, full width at half maximum, neuroimaging meta-analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
