Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI
Abstract
In children with attention deficit hyperactivity disorder (ADHD), functional neuroimaging studies have revealed abnormalities in various brain regions, including prefrontal-striatal circuit, cerebellum, and brainstem. In the current study, we used a new marker of functional magnetic resonance imaging (fMRI), amplitude of low-frequency (0.01-0.08Hz) fluctuation (ALFF) to investigate the baseline brain function of this disorder. Thirteen boys with ADHD (13.0+/-1.4 years) were examined by resting-state fMRI and compared with age-matched controls. As a result, we found that patients with ADHD had decreased ALFF in the right inferior frontal cortex, [corrected] and bilateral cerebellum and the vermis as well as increased ALFF in the right anterior cingulated cortex, left sensorimotor cortex, and bilateral brainstem. This resting-state fMRI study suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
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ALFF in the conventional frequency band (0.01-0.08 Hz) is a reliable index for evaluation of neuronal activation.
“As a reliable index for the evaluation of neuronal activation, the regional amplitude of low-frequency fluctuations (ALFF) in the conventional frequency band (0.01–0.08 Hz) was adopted (Zang et al., 2007).”
From Enhanced Resting-State Functional Connectivity With Decreased Amplitude of Low-Frequency Fluctuations of the Salience Network in Mindfulness Novices (2022) · cites this paper as Zang et al., 2007
ALFF reflects neuroactivities in focal regions, while ReHo characterizes cohesiveness in neighboring brain regions (focal connectivity).
“ALFF in the current study was considered to be a reflection of neuroactivities in focal regions (Zang et al., 2007), while ReHo adopted previously may characterize the cohesiveness in neighboring brain regions (i.e., focal connectivity) (Zang et al., 2004).”
From Enhanced Resting-State Functional Connectivity With Decreased Amplitude of Low-Frequency Fluctuations of the Salience Network in Mindfulness Novices (2022) · cites this paper as Zang et al., 2007
Abnormalities in the default-mode network have been reported in ADHD.
“By definition, default-mode network activity can be detected during resting state scans, and abnormalities in this network have been reported in ADHD (17, 18), Alzheimer’s disease (19, 20), autism (21), schizophrenia (22), and depression (23).”
From Cingulate-Precuneus Interactions: A New Locus of Dysfunction in Adult Attention-Deficit/Hyperactivity Disorder (2008) · cites this paper as [18]
Cites
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,542 · see citing works
Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., & Pennington, B. F. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.02.006 · Cited by 3,568 · see citing works
Regional homogeneity approach to fMRI data analysis.
Zang, Y., Jiang, T., Lu, Y., He, Y., & Tian, L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.030 · Cited by 2,614 · see citing works
Self-citationQuantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder
Castellanos, F. X. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070053009 · Cited by 1,183 · cited 1× · see citing works
“All others correspond to P P 0.06. lum volume in ADHD subjects [2] [41].”
BackgroundInfluentialBush, G., Valera, E. M., & Seidman, L. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.01.034 · Cited by 714 · see citing works
Cerebellum in attention-deficit hyperactivity disorder: A morphometric MRI study
Berquin, P. C., Giedd, J. N., Jacobsen, L. K., Hamburger, S. D., Krain, A. L., Rapoport, J. L., & Castellanos, F. X. (1998) · Neurology · doi:10.1212/wnl.50.4.1087 · Cited by 564 · see citing works
Evaluation of Cerebellar Size in Attention-Deficit Hyperactivity Disorder
Mostofsky, S. H., Reiss, A. L., Lockhart, P., & Denckla, M. B. (1998) · Journal of Child Neurology · doi:10.1177/088307389801300904 · Cited by 311 · see citing works
Attention-deficit/hyperactivity disorder: a preliminary diffusion tensor imaging study
Ashtari, M., Kumra, S., Bhaskar, S. L., Clarke, T., Thaden, E., Cervellione, K. L., Rhinewine, J., Kane, J. M., Adesman, A., Milanaik, R., et al. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.047 · Cited by 295 · see citing works
Ernst, M., Zametkin, A. J., Matochik, J. A., Pascualvaca, D., Jons, P. H., & Cohen, R. M. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.8.1209 · Cited by 256 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475 · see citing works
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970 · see citing works
Default-mode brain dysfunction in mental disorders: A systematic review
Broyd, S. J., Demanuele, C., Debener, S., Helps, S. K., James, C. J., & Sonuga-Barke, E. J. S. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.09.002 · Cited by 1,675 · see citing works
Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461 · see citing works
Competition between functional brain networks mediates behavioral variability
Kelly, A. M. C., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.008 · Cited by 1,287 · see citing works
Resting-state functional connectivity in neuropsychiatric disorders
Greicius, M. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328306f2c5 · Cited by 1,180 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Resting-state functional connectivity in major depressive disorder: A review
Mulders, P. C., van Eijndhoven, P. F., Schene, A. H., Beckmann, C. F., & Tendolkar, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.014 · Cited by 884 · see citing works
Large-scale brain systems in ADHD: beyond the prefrontal–striatal model
Castellanos, F. X., & Proal, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.007 · Cited by 831 · see citing works
Best practices in data analysis and sharing in neuroimaging using MRI
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4500 · Cited by 714 · see citing works
Konrad, K., & Eickhoff, S. B. (2010) · Human Brain Mapping · doi:10.1002/hbm.21058 · Cited by 670 · see citing works
Brain hyperconnectivity in children with autism and its links to social deficits
Supekar, K., Uddin, L. Q., Khouzam, A., Phillips, J., Gaillard, W. D., Kenworthy, L. E., Yerys, B. E., Vaidya, C. J., & Menon, V. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.001 · Cited by 538 · see citing works
Cubillo, A., Halari, R., Smith, A., Taylor, E., & Rubia, K. (2012) · Cortex · doi:10.1016/j.cortex.2011.04.007 · Cited by 505 · see citing works
Rubia, K. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.023 · Cited by 440 · see citing works
Abnormal Functional Connectivity in Children with Attention-Deficit/Hyperactivity Disorder
Tomasi, D., & Volkow, N. D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.003 · Cited by 363 · see citing works
Development of Cortical Surface Area and Gyrification in Attention-Deficit/Hyperactivity Disorder
Shaw, P., Malek, M., Watson, B., Sharp, W., Evans, A., & Greenstein, D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.031 · Cited by 357 · see citing works
Attention-Deficit/Hyperactivity Disorder and Attention Networks
Bush, G. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.120 · Cited by 358 · see citing works
Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder
Fair, D. A., Posner, J., Nagel, B. J., Bathula, D., Dias, T. G. C., Mills, K. L., Blythe, M. S., Giwa, A., Schmitt, C. F., & Nigg, J. T. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.003 · Cited by 354 · see citing works
Gong, J., Wang, J., Qiu, S., Chen, P., Luo, Z., Wang, J., Huang, L., & Wang, Y. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01036-5 · Cited by 348 · see citing works
Uddin, L. Q. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00021 · Cited by 343 · see citing works
Chen, X., Lu, B., & Yan, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.23843 · Cited by 340 · see citing works
Koch, S. B. J., van Zuiden, M., Nawijn, L., Frijling, J. L., Veltman, D. J., & Olff, M. (2016) · Depression and Anxiety · doi:10.1002/da.22478 · Cited by 334 · see citing works
Shaw, P., Gilliam, M., Liverpool, M., Weddle, C., Malek, M., Sharp, W., Greenstein, D., Evans, A., Rapoport, J., & Giedd, J. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10030385 · Cited by 322 · see citing works
Resting State Networks and Consciousness
Heine, L., Soddu, A., Gómez, F., Vanhaudenhuyse, A., Tshibanda, L., Thonnard, M., Charland-Verville, V., Kirsch, M., Laureys, S., & Demertzi, A. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00295 · Cited by 272 · see citing works
Sibley, M. H., Mitchell, J. T., & Becker, S. P. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)30190-0 · Cited by 268 · see citing works
Swanson, J., Baler, R. D., & Volkow, N. D. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.160 · Cited by 252 · see citing works
Hohenfeld, C., Werner, C. J., & Reetz, K. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.03.013 · Cited by 232 · see citing works
Durston, S., van Belle, J., & de Zeeuw, P. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.037 · Cited by 248 · see citing works
Cubillo, A., Halari, R., Ecker, C., Giampietro, V., Taylor, E., & Rubia, K. (2010) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2009.11.016 · Cited by 236 · see citing works
Resting state networks in major depressive disorder
Dutta, A., McKie, S., & Deakin, J. F. W. (2014) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2014.10.003 · Cited by 218 · see citing works
Liston, C., Cohen, M. M., Teslovich, T., Levenson, D., & Casey, B. J. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.022 · Cited by 216 · see citing works
Li, J., Duan, X., Cui, Q., Chen, H., & Liao, W. (2019) · Psychological Medicine · doi:10.1017/s0033291718001502 · Cited by 208 · see citing works
Modulation of Brain Resting-State Networks by Sad Mood Induction
Harrison, B. J., Pujol, J., Ortiz, H., Fornito, A., Pantelis, C., & Yücel, M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001794 · Cited by 206 · see citing works
Brown, M. R. G., Sidhu, G. S., Greiner, R., Asgarian, N., Bastani, M., Silverstone, P. H., Greenshaw, A. J., & Dursun, S. M. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00069 · Cited by 185 · see citing works
Mind wandering perspective on attention-deficit/hyperactivity disorder
Bozhilova, N. S., Michelini, G., Kuntsi, J., & Asherson, P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.07.010 · Cited by 182 · see citing works
Yang, L., Yan, Y., Wang, Y., Hu, X., Lu, J., Chan, P., Yan, T., & Han, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00975 · Cited by 182 · see citing works
Self-citationFunctional MRI in ADHD: a systematic literature review
Paloyelis, Y., Mehta, M. A., Kuntsi, J., & Asherson, P. (2007) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.7.10.1337 · Cited by 171 · see citing works
Late-Onset ADHD Reconsidered With Comprehensive Repeated Assessments Between Ages 10 and 25
Sibley, M. H., Rohde, L. A., Swanson, J. M., Hechtman, L. T., Molina, B. S. G., Mitchell, J. T., Arnold, L. E., Caye, A., Kennedy, T. M., Roy, A., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17030298 · Cited by 165 · see citing works
Rubia, K., Halari, R., Smith, A. B., Mohammed, M., Scott, S., Giampietro, V., Taylor, E., & Brammer, M. J. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07071084 · Cited by 165 · see citing works
Cerebellar Disorders in Childhood: Cognitive Problems
Steinlin, M. (2008) · The Cerebellum · doi:10.1007/s12311-008-0083-3 · Cited by 153 · see citing works
Huang, X.-Q., Lui, S., Deng, W., Chan, R. C. K., Wu, Q.-Z., Jiang, L.-J., Zhang, J.-R., Jia, Z.-Y., Li, X.-L., Li, F., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.072 · Cited by 150 · see citing works
Insights into multimodal imaging classification of ADHD
Colby, J. B., Rudie, J. D., Brown, J. A., Douglas, P. K., Cohen, M. S., & Shehzad, Z. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00059 · Cited by 144 · see citing works
Functional brain connectivity changes across the human life span: From fetal development to old age
Edde, M., Leroux, G., Altena, E., & Chanraud, S. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24669 · Cited by 143 · see citing works
Cao, J., Chen, X., Chen, J., Ai, M., Gan, Y., Wang, W., Lv, Z., Zhang, S., Zhang, S., Wang, S., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.07.002 · Cited by 140 · see citing works
Anderson, A., Douglas, P. K., Kerr, W. T., Haynes, V. S., Yuille, A. L., Xie, J., Wu, Y. N., Brown, J. A., & Cohen, M. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.015 · Cited by 136 · see citing works
Future Research Directions in Sleep and ADHD: Report of a Consensus Working Group
Owens, J., Gruber, R., Brown, T., Corkum, P., Cortese, S., O’Brien, L., Stein, M., & Weiss, M. (2013) · Journal of Attention Disorders · doi:10.1177/1087054712457992 · Cited by 143 · see citing works
How to control for confounds in decoding analyses of neuroimaging data
Snoek, L., Miletić, S., & Scholte, H. S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.074 · Cited by 143 · see citing works
Liang, M.-J., Zhou, Q., Yang, K.-R., Yang, X.-L., Fang, J., Chen, W.-L., & Huang, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079999 · Cited by 135 · see citing works
Self-citationHou, J., Wu, W., Lin, Y., Wang, J., Zhou, D., Guo, J., Gu, S., He, M., Ahmed, S., Hu, J., et al. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.01.022 · Cited by 127 · see citing works
Pletzer, B., Harris, T.-A., Scheuringer, A., & Hidalgo-Lopez, E. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0435-3 · Cited by 118 · see citing works
Sun, Y., Dai, Z., Li, Y., Sheng, C., Li, H., Wang, X., Chen, X., He, Y., & Han, Y. (2016) · Radiology · doi:10.1148/radiol.2016151771 · Cited by 116 · see citing works
Prehn-Kristensen, A., Göder, R., Fischer, J., Wilhelm, I., Seeck-Hirschner, M., Aldenhoff, J., & Baving, L. (2011) · Sleep Medicine · doi:10.1016/j.sleep.2010.10.010 · Cited by 114 · see citing works
Mills, K. L., Bathula, D., Dias, T. G. C., Iyer, S. P., Fenesy, M. C., Musser, E. D., Stevens, C. A., Thurlow, B. L., Carpenter, S. D., Nagel, B. J., et al. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00002 · Cited by 108 · see citing works
Current methods and new directions in resting state fMRI
Yang, J., Gohel, S., & Vachha, B. (2020) · Clinical Imaging · doi:10.1016/j.clinimag.2020.04.004 · Cited by 110 · see citing works
Kullmann, S., Frank, S., Heni, M., Ketterer, C., Veit, R., Häring, H.-U., Fritsche, A., & Preissl, H. (2013) · Neuroendocrinology · doi:10.1159/000341406 · Cited by 110 · see citing works
Lin, H.-Y., Tseng, W.-Y. I., Lai, M.-C., Matsuo, K., & Gau, S. S.-F. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771500020x · Cited by 102 · see citing works
Cheng, W., Ji, X., Zhang, J., & Feng, J. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00058 · Cited by 97 · see citing works
Chang, M., Womer, F. Y., Gong, X., Chen, X., Tang, L., Feng, R., Dong, S., Duan, J., Chen, Y., Zhang, R., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00892-3 · Cited by 92 · see citing works
Cao, Q., Sun, L., Gong, G., Lv, Y., Cao, X., Shuai, L., Zhu, C., Zang, Y., & Wang, Y. (2010) · Brain Research · doi:10.1016/j.brainres.2009.10.031 · Cited by 98 · see citing works
Self-citationCastellanos, F. X., Kelly, C., & Milham, M. P. (2009) · The Canadian Journal of Psychiatry · doi:10.1177/070674370905401003 · Cited by 88 · see citing works
Functional properties of resting state networks in healthy full-term newborns
De Asis-Cruz, J., Bouyssi-Kobar, M., Evangelou, I., Vezina, G., & Limperopoulos, C. (2015) · Scientific Reports · doi:10.1038/srep17755 · Cited by 85 · see citing works
Increased Activity Imbalance in Fronto-Subcortical Circuits in Adolescents with Major Depression
Jiao, Q., Ding, J., Lu, G., Su, L., Zhang, Z., Wang, Z., Zhong, Y., Li, K., Ding, M., & Liu, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025159 · Cited by 83 · see citing works
Fan, J., Zhong, M., Gan, J., Liu, W., Niu, C., Liao, H., Zhang, H., Tan, C., Yi, J., & Zhu, X. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.027 · Cited by 82 · see citing works
Engen, H. G., Bernhardt, B. C., Skottnik, L., Ricard, M., & Singer, T. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.08.024 · Cited by 83 · see citing works
Yang, C.-C., Barrós-Loscertales, A., Li, M., Pinazo, D., Borchardt, V., Ávila, C., & Walter, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-47470-4 · Cited by 81 · see citing works
Wang, S., Zhou, M., Chen, T., Yang, X., Chen, G., Wang, M., & Gong, Q. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw145 · Cited by 77 · see citing works
The neurocognitive correlates of brain entropy estimated by resting state fMRI
Wang, Z. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117893 · Cited by 77 · see citing works
Liu, C.-H., Ma, X., Song, L.-P., Fan, J., Wang, W.-D., Lv, X.-Y., Zhang, Y., Li, F., Wang, L., & Wang, C.-Y. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.11.047 · Cited by 71 · see citing works
Functional connectivity and the sleep-deprived brain
Chee, M. W. L., & Zhou, J. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.02.009 · Cited by 68 · see citing works
Shi, Y., Song, R., Wang, Z., Zhang, H., Zhu, J., Yue, Y., Zhao, Y., & Zhang, Z. (2021) · eBioMedicine · doi:10.1016/j.ebiom.2021.103337 · Cited by 65 · see citing works
Bohland, J. W., Saperstein, S., Pereira, F., Rapin, J., & Grady, L. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00078 · Cited by 64 · see citing works
Prehn-Kristensen, A., Molzow, I., Munz, M., Wilhelm, I., Müller, K., Freytag, D., Wiesner, C. D., & Baving, L. (2011) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2011.06.021 · Cited by 62 · see citing works
Li, H., Wei, D., Browning, M., Du, X., Zhang, Q., & Qiu, J. (2016) · Psychological Medicine · doi:10.1017/s003329171500238x · Cited by 59 · see citing works
Intervention-induced enhancement in intrinsic brain activity in healthy older adults
Yin, S., Zhu, X., Li, R., Niu, Y., Wang, B., Zheng, Z., Huang, X., Huo, L., & Li, J. (2014) · Scientific Reports · doi:10.1038/srep07309 · Cited by 57 · see citing works
Zhang, H., Wang, B., Li, K., Wang, X., Li, X., Zhu, J., Zhao, Q., Yang, Y., Lv, L., Zhang, M., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00522 · Cited by 55 · see citing works
Stray, L., Stray, T., Iversen, S., Ruud, A., Ellertsen, B., & Tønnessen, F. (2009) · Behavioral and Brain Functions · doi:10.1186/1744-9081-5-22 · Cited by 55 · see citing works
Meyer, B., Mann, C., Götz, M., Gerlicher, A., Saase, V., Yuen, K. S. L., Aedo-Jury, F., Gonzalez-Escamilla, G., Stroh, A., & Kalisch, R. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.3128-18.2019 · Cited by 43 · see citing works
Ji, L., Zhang, H., Potter, G. G., Zang, Y.-F., Steffens, D. C., Guo, H., & Wang, L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00102 · Cited by 43 · see citing works
Zhang, T., He, K., Bai, T., Lv, H., Xie, X., Nie, J., Xie, W., Zhu, C., Wang, K., & Tian, Y. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110193 · Cited by 44 · see citing works
Chen, Q., Bi, Y., Zhao, X., Lai, Y., Yan, W., Xie, L., Gao, T., Xie, S., Zeng, T., Li, J., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.03.079 · Cited by 43 · see citing works
Classification of ADHD Individuals and Neurotypicals Using Reliable RELIEF: A Resting-State Study
Miao, B., Zhang, L. L., Guan, J. L., Meng, Q. F., & Zhang, Y. L. (2019) · IEEE Access · doi:10.1109/access.2019.2915988 · Cited by 42 · see citing works
Ortiz, N., Parsons, A., Whelan, R., Brennan, K., Agan, M., O'Connell, R., Bramham, J., & Garavan, H. (2015) · Acta Neurobiologiae Experimentalis · doi:10.55782/ane-2015-2038 · Cited by 40 · see citing works
Steffens, D. C., Wang, L., Manning, K. J., & Pearlson, G. D. (2017) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2017.03.017 · Cited by 40 · see citing works
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Makoto Miyauchi, C., Sassa, Y., & Kawashima, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-01460-6 · Cited by 36 · see citing works
Feng, P., Becker, B., Feng, T., & Zheng, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.057 · Cited by 35 · see citing works
Feng, D., Yuan, K., Li, Y., Cai, C., Yin, J., Bi, Y., Cheng, J., Guan, Y., Shi, S., Yu, D., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9427-z · Cited by 34 · see citing works
Yin, S., Zhu, X., He, R., Li, R., & Li, J. (2015) · Neuropsychology · doi:10.1037/neu0000201 · Cited by 24 · see citing works
Liu, M., Huang, Y., Li, X., Liu, Y., Yu, R., Long, Y., Lv, F., & Zhou, X. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1007144 · Cited by 21 · see citing works
Gan, Q., Ding, N., Bi, G., Liu, R., Zhao, X., Zhong, J., Wu, S., Zeng, Y., Cui, L., Wu, K., et al. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.838123 · Cited by 18 · see citing works
Fang, P., Gao, Y., Li, Y., Li, C., Zhang, T., Wu, L., Zhu, Y., & Xie, Y. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120785 · Cited by 18 · see citing works
“ALFF measures the intensity of spontaneous fluctuations in the blood-oxygen-level-dependent (BOLD) signal (Zang et al., 2007) and has been utilized to explore the intrinsic neural activity changes associated with cognitive training (Li et al., 2019). for example, in a study of young adults who…”
MethodFunctional brain abnormalities in major depressive disorder using the Hilbert-Huang transform
Yu, H., Li, F., Wu, T., Li, R., Yao, L., Wang, C., & Wu, X. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9816-6 · Cited by 17 · see citing works
Miyoshi, T., Tanioka, K., Yamamoto, S., Yadohisa, H., Hiroyasu, T., & Hiwa, S. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00473 · Cited by 16 · see citing works
Structural and functional whole brain changes in autism spectrum disorder at different age stages
Wang, Z., Zheng, L., Yang, L., Yin, S., Yu, S., Chen, K., ZHANG, T., Wang, H., Zhang, T., & Zhang, Y. (2025) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-024-02585-6 · Cited by 13 · see citing works
Zheng, X., Luo, L., Li, J., Xu, L., Zhou, F., Gao, Z., Becker, B., & Kendrick, K. M. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01958-x · Cited by 10 · see citing works
Resting-state neural signatures of moral injury: associations with rumination
Fulton, T. M., Guelfo, A., Elbasheir, A., McDermott, T. J., Lee, J., Ahluwalia, V., Ely, T. D., Lathan, E. C., & Fani, N. (2026) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.08.001 · Cited by 5 · see citing works
- Authors
- Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W.
- Affiliations
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- Corresponding author
- Yu-Feng, Zang
- Venue
- Brain and Development
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 29
- Issue
- 2
- Pages
- 83-91
- ISSN
- 0387-7604 (ISSN-L)
- OpenAlex
- W2161502085
- Cited by
- 2,660
- References
- 10
- Citations by year
- 2026: 145 · 2025: 213 · 2024: 209 · 2023: 213 · 2022: 256 · 2021: 226 · 2020: 197 · 2019: 174 · 2018: 157 · 2017: 156 · 2016: 151 · 2015: 150 · 2014: 118 · 2013: 93 · 2012: 77
- FWCI
- 10.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain and Development (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- attention deficit hyperactivity disorder, children, amplitude of low-frequency fluctuation, resting-state brain activity, spontaneous neuronal activity, inferior frontal cortex, cerebellum, anterior cingulate cortex, sensorimotor cortex, brainstem, ADHD pathophysiology
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Oxygen, Rest, Head Movements
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