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Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders
Abstract
Measures assessing resting-state brain activity with blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) can reveal cognitive disorders at an early stage. Analysis of regional homogeneity (ReHo) measures the local synchronization of spontaneous fMRI signals and has been successfully utilized in detecting alterations in subjects with attention-deficit hyperactivity disorder (ADHD), depression, schizophrenia, Parkinson's disease and Alzheimer's dementia. Resting-state brain activity was investigated in 28 adolescents with autism spectrum disorders (ASD) and 27 typically developing controls being imaged with BOLD fMRI and analyzed with the ReHo method. The hypothesis was that ReHo of resting-state brain activity would be different between ASD subjects and controls in brain areas previously shown to display functional alterations in stimulus or task based fMRI studies. Compared with the controls, the subjects with ASD had significantly decreased ReHo in right superior temporal sulcus region, right inferior and middle frontal gyri, bilateral cerebellar crus I, right insula and right postcentral gyrus. Significantly increased ReHo was discovered in right thalamus, left inferior frontal and anterior subcallosal gyrus and bilateral cerebellar lobule VIII. We conclude that subjects with ASD have right dominant ReHo alterations of resting-state brain activity, i.e., areas known to exhibit abnormal stimulus or task related functionality. Our results demonstrate that there is potential in utilizing the ReHo method in fMRI analyses of ASD.
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“Studies of FC in ASD have found evidence of reduced long-range FC in various cortical circuits (14-24).”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [17]
Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
KAUFMAN, J., BIRMAHER, B., BRENT, D., RAO, U., FLYNN, C., MORECI, P., WILLIAMSON, D., & RYAN, N. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199707000-00021 · Cited by 10,148
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Flagged first, then by citations
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Items 101–200 of 286
Altered baseline brain activities before food intake in obese men: A resting state fMRI study
Zhang, B., Tian, D., Yu, C., Zhang, J., Xiao, T., von Deneen, K. M., Zang, Y., Walter, M., & Liu, Y. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.10.020 · Cited by 48
Self-citationResting-state fMRI studies in epilepsy
Wurina, Zang, Y., & Zhao, S.-G. (2012) · Neuroscience Bulletin · doi:10.1007/s12264-012-1255-1 · Cited by 48
Self-citationYin, Y., Jin, C., Eyler, L. T., Jin, H., Hu, X., Duan, L. F., Zheng, H., Feng, B., Huang, X., Shan, B., et al. (2012) · Neuroscience Bulletin · doi:10.1007/s12264-012-1261-3 · Cited by 48
Altered regional homogeneity in motor cortices in patients with multiple system atrophy
You, H., Wang, J., Wang, H., Zang, Y., Zheng, F., Meng, C., & Feng, F. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.07.015 · Cited by 47
Self-citationLai, C., & Wu, Y. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.11.004 · Cited by 46
Lai, C., & Wu, Y. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9381-9 · Cited by 46
Altered spontaneous brain activity in heavy smokers revealed by regional homogeneity
Wu, G., Yang, S., Zhu, L., & Lin, F. (2015) · Psychopharmacology · doi:10.1007/s00213-015-3881-6 · Cited by 45
Alterations of regional homogeneity in pediatric bipolar depression: a resting-state fMRI study
Gao, W., Jiao, Q., Lu, S., Zhong, Y., Qi, R., Lu, D., Xiao, Q., Yang, F., Lu, G., & Su, L. (2014) · BMC Psychiatry · doi:10.1186/s12888-014-0222-y · Cited by 46
Jung, M., Mody, M., Saito, D. N., Tomoda, A., Okazawa, H., Wada, Y., & Kosaka, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143126 · Cited by 46
Berto, S., Treacher, A., Caglayan, E., Luo, D., Haney, J. R., Gandal, M. J., Geschwind, D. H., Montillo, A., & Konopka, G. (2022) · Nature Communications · doi:10.1038/s41467-022-31053-5 · Cited by 48
Liu, Z., Wei, W., Bai, L., Dai, R., You, Y., Chen, S., & Tian, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099335 · Cited by 45
Qiu, H., Li, X., Zhao, W., Du, L., Huang, P., Fu, Y., Qiu, T., Xie, P., Meng, H., & Luo, Q. (2016) · Medical Science Monitor · doi:10.12659/msm.898081 · Cited by 43
Keehn, R. J. J., Nair, S., Pueschel, E. B., Linke, A. C., Fishman, I., & Müller, R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy201 · Cited by 45
A novel graph neural network method for Alzheimer’s disease classification
Zhou, Z., Wang, Q., An, X., Chen, S., Sun, Y., Wang, G., & Yan, G. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108869 · Cited by 45
Henry, T. R., Dichter, G. S., & Gates, K. M. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.10.006 · Cited by 41
Altered Regional Homogeneity in Rolandic Epilepsy: A Resting-State fMRI Study
Tang, Y., Ji, G., Yu, Y., Wang, J., Wang, Z.-J., Zang, Y., Liao, W., & Ding, M. (2014) · BioMed Research International · doi:10.1155/2014/960395 · Cited by 41
Self-citationAl-Zubaidi, A., Mertins, A., Heldmann, M., Jauch‐Chara, K., & Münte, T. F. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00164 · Cited by 41
Yin, D., Luo, Y., Song, F., Xu, D., Peterson, B. S., Sun, L., Men, W., Yan, X., & Fan, M. (2013) · Neuroradiology · doi:10.1007/s00234-013-1146-9 · Cited by 39
The Local Brain Abnormalities in Patients With Transient Ischemic Attack: A Resting-State fMRI Study
Lv, Y., Li, L., Song, Y., Han, Y., Zhou, C., Zhou, D., Zhang, F., Xue, Q., Liu, J., Zhao, L., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00024 · Cited by 39
Jiang, X., Bollich, A. M., Cox, P., Hyder, E., James, J. D., Gowani, S. A., Hadjikhani, N. K., Blanz, V., Manoach, D. S., Barton, J. J. S., et al. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.02.002 · Cited by 41
Zheng, F., Wang, L.-F., Jia, M.-X., Yue, W., Ruan, Y., Lu, T.-L., Liu, J., Li, J., & Zhang, D. (2011) · Behavioral and Brain Functions · doi:10.1186/1744-9081-7-14 · Cited by 45
Structural Covariance of Sensory Networks, the Cerebellum, and Amygdala in Autism Spectrum Disorder
Cardon, G. J., Hepburn, S., & Rojas, D. C. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00615 · Cited by 39
Zhu, H., Wang, J., Zhao, Y., Lu, M., & Shi, J. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3232104 · Cited by 37
Kozhemiako, N., Nunes, A. S., Vakorin, V. A., Iarocci, G., Ribary, U., & Doesburg, S. M. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa109 · Cited by 33
Yang, B., Wang, M., Zhou, W., Wang, X., Chen, S., Potenza, M. N., Yuan, L., & Dong, G. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.11.083 · Cited by 38
Effects of Finger Tapping Frequency on Regional Homogeneity of Sensorimotor Cortex
Lv, Y., Margulies, D. S., Villringer, A., & Zang, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064115 · Cited by 36
Self-citationWu, T., Grandjean, J., Bosshard, S. C., Rudin, M., Reutens, D. C., & Jiang, T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.074 · Cited by 34
Xu, J., Wang, H., Zhang, L., Xu, Z., Li, T., Zhou, Z., Zhou, Z., Gan, Y., & Hu, Q. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00234 · Cited by 35
Venkataraman, A., Duncan, J. S., Yang, D. Y. ‐., & Pelphrey, K. A. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.04.021 · Cited by 33
Jiang, S., Luo, C., Liu, Z., Hou, C., Wang, P., Dong, L., Zhong, C., Lai, Y., Yang, X., & Yao, D. (2015) · Neural Plasticity · doi:10.1155/2016/3547203 · Cited by 34
Zhang, W., Yang, X., Lui, S., Meng, Y., Li, Y., Xiao, Y., Deng, W., Zhang, W., & Gong, Q. (2015) · BioMed Research International · doi:10.1155/2015/763965 · Cited by 33
Ingalhalikar, M., Parker, W. A., Bloy, L., Roberts, T. P. L., & Verma, R. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.06.030 · Cited by 33
Wang, W., Liu, J., Shi, S., Liu, T., Ma, L., Ma, X., Tian, J., Gong, Q., & Wang, M. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00556 · Cited by 33
Increased scale-free dynamics in salience network in adult high-functioning autism
Damiani, S., Scalabrini, A., Gómez‐Pilar, J., Brondino, N., & Northoff, G. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.101634 · Cited by 33
Akkermans, S. E. A., Rheinheimer, N., Bruchhage, M. M. K., Durston, S., Brandeis, D., Banaschewski, T., Boecker-Schlier, R., Wolf, I., Williams, S. C. R., Buitelaar, J. K., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291718003136 · Cited by 33
Anderson, J. S., Zielinski, B. A., Nielsen, J. A., & Ferguson, M. A. (2013) · Human Brain Mapping · doi:10.1002/hbm.22251 · Cited by 32
A Window into the Brain: Advances in Psychiatric fMRI
Zhan, X., & Yu, R. (2015) · BioMed Research International · doi:10.1155/2015/542467 · Cited by 37
Zhan, J., Gao, L., Zhou, F.-Q., Kuang, H., Zhao, J., Wang, S., He, L.-C., Zeng, X.-J., & Gong, H.-H. (2015) · Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000000368 · Cited by 32
Examination of Local Functional Homogeneity in Autism
Jiang, L., Hou, X., Yang, N., Yang, Z., & Zuo, X. (2015) · BioMed Research International · doi:10.1155/2015/174371 · Cited by 32
Wang, J., Li, T., Wang, N., Xian, J., & He, H. (2016) · European Radiology · doi:10.1007/s00330-016-4221-x · Cited by 32
Al-Zubaidi, A., Heldmann, M., Mertins, A., Jauch‐Chara, K., & Münte, T. F. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.04.029 · Cited by 31
Alterations of Regional Homogeneity in Preschool Boys With Autism Spectrum Disorders
Lan, Z., Xu, S., Wu, Y., Xia, L., Hua, K., Li, M., Liu, M., Yin, Y., Li, C., Huang, S., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.644543 · Cited by 31
Circulating androgens correlate with resting-state MRI in transgender men
Mueller, S. C., Wierckx, K., Jackson, K., & T'Sjoen, G. G. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.07.212 · Cited by 31
Global signal regression has complex effects on regional homogeneity of resting state fMRI signal
Zhao, Q., Dong, Z.-Y., Li, S., Zang, Y., & Liu, D. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2015.07.011 · Cited by 30
Self-citationAttention and Working Memory in Adolescents with Autism Spectrum Disorder: A Functional MRI Study
Rahko, J. S., Vuontela, V., Carlson, S., Nikkinen, J., Hurtig, T. M., Kuusikko‐Gauffin, S., Mattila, M., Jussila, K. K., Remes, J. J., Jansson-Verkasalo, E. M., et al. (2015) · Child Psychiatry & Human Development · doi:10.1007/s10578-015-0583-6 · Cited by 40
Self-citationGao, Y., Liao, L., & Blok, B. F. M. (2015) · International Urology and Nephrology · doi:10.1007/s11255-015-0978-0 · Cited by 29
Wang, L., Liu, Z., Cao, X., Li, J., Zhang, A., Sun, N., Yang, C., & Zhang, K. (2017) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2016.0426 · Cited by 28
Cognitive disorders in pediatric medulloblastoma: what neuroimaging has to offer
Hoang, D. H., Pagnier, A., Guichardet, K., Dubois‐Teklali, F., Schiff, I., Lyard, G., Cousin, É., & Krainik, A. (2014) · Journal of Neurosurgery Pediatrics · doi:10.3171/2014.5.peds13571 · Cited by 28
Zhang, H., Li, R., Wen, X., Li, Q., & Wu, X. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2993109 · Cited by 28
Okazawa, H., Ikawa, M., Jung, M., Maruyama, R., Tsujikawa, T., Mori, T., Rahman, M. G. M., Makino, A., Kiyono, Y., & Kosaka, H. (2020) · EJNMMI Research · doi:10.1186/s13550-020-00619-z · Cited by 28
Liloia, D., Manuello, J., Costa, T., Keller, R., Nani, A., & Cauda, F. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01541-2 · Cited by 28
Li, Q.-Q., Zhao, W., Palaniyappan, L., & Guo, S.-X. (2023) · Psychological Medicine · doi:10.1017/s0033291723000181 · Cited by 16
Multimodal brain imaging in autism spectrum disorder and the promise of twin research
Mevel, K., Fransson, P., & Bölte, S. (2014) · Autism · doi:10.1177/1362361314535510 · Cited by 27
Influence of Acupuncture Stimulation on Cerebral Network in Functional Diarrhea
Zhou, S., Zeng, F., Liu, J., Zheng, H., Huang, W., Liu, T., Chen, D., Qin, W., Gong, Q., Tian, J., et al. (2013) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2013/975769 · Cited by 25
IFNG/IFNG-AS1 expression level balance: implications for autism spectrum disorder
Fallah, H., Sayad, A., Ranjbaran, F., Talebian, F., Ghafouri‐Fard, S., & Taheri, M. N. (2019) · Metabolic Brain Disease · doi:10.1007/s11011-019-00510-4 · Cited by 26
Pereira, J. A., Sepúlveda, P., Rana, M., Montalba, C., Cristián Tejos, N., Torres, R., Sitaram, R., & Ruíz, S. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00446 · Cited by 27
Nan, J., Liu, J., Zhang, D., Yang, Y., Yan, X., Yin, Q., Xiong, S., von Deneen, K. M., Liang, F., Gong, Q., et al. (2014) · Neurogastroenterology & Motility · doi:10.1111/nmo.12311 · Cited by 25
Resting state FMRI research in child psychiatric disorders
Oldehinkel, M., Francx, W., Beckmann, C. F., Buitelaar, J. K., & Mennes, M. (2013) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-013-0480-0 · Cited by 29
Cerebellar contributions to neurological soft signs in healthy young adults
Hirjak, D., Thomann, P. A., Kubera, K. M., Stieltjes, B., & Wolf, R. C. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-015-0582-4 · Cited by 24
Bayesian Community Detection in the Space of Group-Level Functional Differences
Venkataraman, A., Yang, D. Y. ‐., Pelphrey, K. A., & Duncan, J. S. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2536559 · Cited by 24
Resting-state brain activity in Chinese boys with low functioning autism spectrum disorder
Li, G., Rossbach, K., Jiang, W., & Du, Y. (2018) · Annals of General Psychiatry · doi:10.1186/s12991-018-0217-z · Cited by 25
Rahko, J. S., Paakki, J., Starck, T., Nikkinen, J., Pauls, D. L., Kätsyri, J., Jansson-Verkasalo, E. M., Carter, A. S., Hurtig, T. M., Mattila, M., et al. (2011) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-011-1332-8 · Cited by 24
Self-citationWu, Q., Zhang, X., Dong, D., Wang, X., & Yao, S. (2017) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-017-0953-7 · Cited by 20
Chen, C., Xiu, D., Chen, C., Moyzis, R., Xia, M., He, Y., Xue, G., Li, J., He, Q., Lei, X., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133143 · Cited by 22
Li, S., Zou, Q., Li, J., Li, J., Wang, D., Yan, C., Dong, Q., & Zang, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036513 · Cited by 22
Self-citationWu, L., Zhang, Y., Zhou, F., Gao, L., He, L., Gong, H., & Zeng, X. (2016) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s98962 · Cited by 22
Rajasilta, O., Häkkinen, S., Björnsdotter, M., Scheinin, N. M., Lehtola, S. J., Saunavaara, J. P., Parkkola, R. K., Lähdesmäki, T., Karlsson, L., Karlsson, H., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-98574-9 · Cited by 24
Sbaihat, H., Rajkumar, R., Ramkiran, S., Assi, A. A., Felder, J., Shah, N. J., Veselinović, T., & Neuner, I. (2022) · Human Brain Mapping · doi:10.1002/hbm.25771 · Cited by 20
Zhao, X., Zhu, S., Cao, Y., Cheng, P., Lin, Y., Sun, Z., Li, Y., Jiang, W., & Du, Y. (2022) · Brain and Behavior · doi:10.1002/brb3.2693 · Cited by 20
Larson, C., Thomas, H., Crutcher, J., Stevens, M. C. G., & Eigsti, I. (2023) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-023-00382-6 · Cited by 25
Rao, J., Ma, M., Zhao, C., Liu, Z., Yang, Z., & Li, X. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2015.06.011 · Cited by 21
Altered complexity in resting-state fNIRS signal in autism: a multiscale entropy approach
Zhang, T., Huang, W., Wu, X., Sun, W., Lin, F., Sun, H., & Li, J. (2021) · Physiological Measurement · doi:10.1088/1361-6579/ac184d · Cited by 20
Cakar, M. E., Okada, N. J., Cummings, K. K., Jung, J., Bookheimer, S. Y., Dapretto, M., & Green, S. A. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1337921 · Cited by 24
Ketamine changes the local resting-state functional properties of anesthetized-monkey brain
Rao, J., Liu, Z., Zhao, C., Wei, R., Zhao, W., Tian, P., Zhou, X., Yang, Z., & Li, X.-G. (2017) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2017.07.025 · Cited by 19
Alterations in Regional Homogeneity in Patients With Unilateral Chronic Tinnitus
Gentil, A., Deverdun, J., de Champfleur, N. M., Puel, J., Bars, E. L., & Venail, F. (2019) · Trends in Hearing · doi:10.1177/2331216519830237 · Cited by 19
Altered dynamic regional homogeneity in patients with conduct disorder
Lu, F., Zhao, Y., He, Z., Ma, X., Yao, X., Liu, P., Wang, X., Yang, G., & Zhou, J. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107865 · Cited by 19
Ding, X., Ding, J., Hua, B., Xiong, X., Xiao, L., Fang, P., Chen, L., Pan, X., & Wang, Q. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.02.015 · Cited by 19
[The role of the cerebellum in the regulation of affection, emotion and behaviour].
Hernáez-Goñi, P., Ustárroz, J. T., Iglesias-Fernández, L., & Luna-Lario, P. (2010) · PubMed · Cited by 19
Neural Correlates of Sensory Abnormalities Across Developmental Disabilities
Cardon, G. J. (2018) · International review of research in developmental disabilities · doi:10.1016/bs.irrdd.2018.08.001 · Cited by 20
Effects of methylphenidate on resting-state brain activity in normal adults: an fMRI study
Zhu, Y., Gao, B., Hua, J., Liu, W., Deng, Y., Zhang, L., Jiang, B., & Zang, Y. (2013) · Neuroscience Bulletin · doi:10.1007/s12264-013-1306-2 · Cited by 18
Self-citationResting-state abnormalities of posterior cingulate in autism spectrum disorder
Leung, M.-K., & Lau, W. K. (2020) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.04.010 · Cited by 20
Yu, Y., Wang, X., Yang, J., & Qiu, J. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.07.021 · Cited by 18
Zhao, L., Xue, S., Sun, Y., Lan, Z., Zhang, Z., Xue, Y., Wang, X., & Jin, Y. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.12.093 · Cited by 18
Developmental Resting State Functional Connectivity for Clinicians
Hulvershorn, L. A., Cullen, K. R., Francis, M., & Schreiner, M. W. (2014) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-014-0020-3 · Cited by 18
Shen, J., Yang, B., Xie, Z., Wu, H., Zheng, Z., Wang, J., Wang, P., Zhang, P., Li, W., Ye, Z., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.639527 · Cited by 15
Liu, W., Jiang, X., Deng, Z., Xie, Y., Guo, Y., Wu, Y., Sun, Q., Kong, L., Wu, F., & Tang, Y. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-023-01625-7 · Cited by 17
Cortical Underconnectivity Hypothesis in Autism: Evidence from Functional Connectivity MRI
Anderson, J. S. (2013) · Springer eBooks · doi:10.1007/978-1-4614-4788-7_81 · Cited by 17
Interaction Effects of BDNF and COMT Genes on Resting-State Brain Activity and Working Memory
Chen, W., Chen, C., Xia, M., Wu, K. L., Chen, C., He, Q., Xue, G., Wang, W., Yong He, A., & Dong, Q. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00540 · Cited by 18
Reardon, A. M., Li, K., & Hu, X. P. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.762781 · Cited by 16
Changes in intrinsic local connectivity after reading intervention in children with autism
Maximo, J. O., Murdaugh, D. L., O’Kelley, S. E., & Kana, R. K. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.08.008 · Cited by 16
Intrinsic brain activity associated with eye gaze during mother–child interaction
Kuboshita, R., Fujisawa, T. X., Makita, K., Kasaba, R., Okazawa, H., & Tomoda, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-76044-y · Cited by 18
Yang, Y., Chen, D., Cai, K., Zhu, L., Shi, Y., Dong, X., Sun, Z., Qiao, Z., Yahui, Y., Weike, Z., et al. (2024) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-024-00885-7 · Cited by 15
Pang, D., Gao, Y., & Liao, L. (2021) · International Urology and Nephrology · doi:10.1007/s11255-020-02742-1 · Cited by 13
Wang, M., Wang, L., Yang, B., Yuan, L., Wang, X., Potenza, M. N., & Dong, G. (2022) · Brain Communications · doi:10.1093/braincomms/fcac177 · Cited by 12
Jin, J., Wang, X., Yang, X., Zhao, N., Feng, Z., Zang, Y., & Yuan, L. (2023) · Human Brain Mapping · doi:10.1002/hbm.26455 · Cited by 12
Self-citationIdentifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports
Dekhil, O., Ali, M. T., Shalaby, A. M., Mahmoud, A. H., Switala, A., Ghazal, M. A., Hajidiab, H., García-Zapirain, B., Elmaghraby, A. S., Keynton, R. S., et al. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00931-1_28 · Cited by 12
Paakki, J., Rahko, J. S., Kotila, A., Mattila, M., Miettunen, H., Hurtig, T. M., Jussila, K. K., Kuusikko‐Gauffin, S., Moilanen, I. K., Tervonen, O. A., et al. (2021) · Brain and Behavior · doi:10.1002/brb3.2174 · Cited by 12
Self-citationDecreased frontal lobe function in people with Internet addiction disorder.
Liu, J., Esmail, F., Li, L., Kou, Z., Li, W.-H., Gao, X., Wang, Z., Tan, C., Zhang, Y., & Zhou, S. (2013) · PubMed Central · doi:10.3969/j.issn.1673-5374.2013.34.006 · Cited by 12
Ou, Y., Liu, F., Chen, J., Pan, P., Wu, R., Su, Q., Zhang, Z., Zhao, J., & Guo, W. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.04.036 · Cited by 12
Niazy, R. K., Cole, D. M., Beckmann, C. F., & Smith, S. M. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_14 · Cited by 11
Metadata
- Authors
- Paakki, J.-J., Rahko, J., Long, X., Moilanen, I., Tervonen, O., Nikkinen, J., Starck, T., Remes, J., Hurtig, T., Haapsamo, H., Jussila, K., Kuusikko-Gauffin, S., Mattila, M.-L., Zang, Y., & Kiviniemi, V.
- Affiliations
- Oulu University Hospital (FI)
- Beijing Normal University (CN)
- Corresponding author
- Paakki, Jyri-Johan
- ORCID
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 1321
- Pages
- 169-179
- ISSN
- 0006-8993 (ISSN-L)
- OpenAlex
- W2071904348
- Cited by
- 286
- References
- 69
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 11 · 2023: 12 · 2022: 17 · 2021: 22 · 2020: 16 · 2019: 18 · 2018: 20 · 2017: 15 · 2016: 16 · 2015: 27 · 2014: 19 · 2013: 31 · 2012: 18
- FWCI
- 15.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- autism spectrum disorder, regional homogeneity, resting-state brain activity, adolescents, superior temporal sulcus, frontal cortex, cerebellum, thalamus, insula, hemispheric lateralization
- MeSH terms
- Adolescent, Brain, Brain Mapping, Child, Child Development Disorders, Pervasive, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Rest
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