Increased EEG coherence in long-distance and short-distance connectivity in children with autism spectrum disorders.
- Authors
- Wang, Jia; Wang, Xiaomin; Wang, Xuelai; Zhang, Huiying; Zhou, Yong; Chen, Lei; Li, Yutong; Wu, Lijie
- Year
- 2020
- Journal
- Brain and behavior
- PMID
- 32815287
- DOI
- 10.1002/brb3.1796
- PMCID
- PMC7559606
INTRODUCTION: Autism spectrum disorder (ASD) is a complex and prevalent neurodevelopmental disorder characterized by deficits in social communication and social interaction as well as repetitive behaviors. Alterations in function connectivity are widely recognized in recent electroencephalogram (EEG) studies. However, most studies have not reached consistent conclusions, which could be due to the developmental nature and the heterogeneity of ASD. METHODS: Here, EEG coherence analysis was used in a cohort of children with ASD (n = 13) and matched typically developing controls (TD, n = 15) to examine the functional connectivity characteristics in long-distance and short-distance electrode pairs. Subsequently, we explore the association between the connectivity strength of coherence and symptom severity in children with ASD. RESULTS: Compared with TD group, individuals with ASD showed increased coherence in short-distance electrode pairs in the right temporal-parietal region (delta, alpha, beta bands), left temporal-parietal region (all frequency bands), occipital region (theta, alpha, beta bands), right central-parietal region (delta, alpha, beta bands), and the prefrontal region (only beta band). In the long-distance coherence analysis, the ASD group showed increased coherence in bilateral frontal region, temporal region, parietal region, and frontal-occipital region in alpha and beta bands. The strength of such connections was associated with symptom severity. DISCUSSION: Our study indicates that abnormal connectivity patterns in neuroelectrophysiology may be of critical importance to acknowledge the underlying brain mechanism.
Coherence showing between‐group significant differences in short‐distance and long‐distance connectivity (p < .05). The red color lines denotes that ASD group have significantly increased coherence in delta band; the green color lines denotes the significantly increased coherence in ASD group in theta band; the blue color lines denotes the significantly increased coherence in ASD group in alpha band; the orange color lines denotes the significantly increased coherence in ASD group in beta band
No entities extracted from this document yet.
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders fifth edition (DSM‐5), (pp. 31). Washington, DC: American Psychiatric Publisher. | — | — | — |
| Babiloni, C. , Ferri, R. , Moretti, D. V. , Strambi, A. , Binetti, G. , Dal Forno, G. , … Rossini, P. M. (2004). Abnormal fronto‐parietal coupling of brain rhythms in mild Alzheimer's disease: A multicentric EEG study. Federation of European N Euroscience Societies, 19(9), 2583–2590. 10.1111/j.0953-816X.2004.03333.x 15128412 | — | — | — |
| Baio, J. , Wiggins, L. , Christensen, D. L. , Maenner, M. J. , Daniels, J. , Warren, Z. , … Dowling, N. F. (2018). Prevalence of autism spectrum disorder among children aged 8 years ‐ autism and developmental disabilities monitoring Network, 11 Sites, United States, 2014. MMWR Surveillance Summary, 67(6), 1–23. 10.15585/mmwr.ss6706a1 PMC591959929701730 | — | — | — |
| Baron‐cohen, S. , Wheelwright, S. , Skinner, R. , Martin, J. , & Clubley, E. (2001 ). The autism‐spectrum quotient (AQ): evidence from Asperger syndrome/high‐functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31, 5–17. 10.1023/A:1005653411471 11439754 | — | — | — |
| Barttfeld, P. , Wicker, B. , Cukier, S. , Navarta, S. , Lew, S. , & Sigman, M. (2011). A big‐world network in ASD: Dynamical connectivity analysis reflects a deficit in long‐range connections and an excess of short‐range connections. Neuropsychologia, 49(2), 254–263. 10.1016/j.neuropsychologia.2010.11.024 21110988 | — | — | — |
| Belmonte, M. K. , Allen, G. , Beckel‐Mitchener, A. , Boulanger, L. M. , Carper, R. A. , & Webb, S. J. (2004). Autism and abnormal development of brain connectivity. Journal of Neuroscience, 24(42), 9228–9231. 10.1523/JNEUROSCI.3340-04.2004 15496656PMC6730085 | — | — | — |
| Buzsáki, G. , & Draguhn, A. (2004). Neuronal oscillations in cortical networks. Science, 304(5679), 1926–1929. 10.1126/science.1099745 15218136 | — | — | — |
| Carper, R. A. , Moses, P. , Tigue, Z. D. , & Courchesne, E. (2002). Cerebral lobes in autism: Early hyperplasia and abnormal age effects. NeuroImage, 16(4), 1038–1051. 10.1006/nimg.2002.1099 12202091 | — | — | — |
| Carson, A. M. , Salowitz, N. M. G. , Scheidt, R. A. , Dolan, B. K. , & Van Hecke, A. V. (2014). Electroencephalogram coherence in children with and without autism spectrum disorders: Decreased interhemispheric connectivity in autism. Autism Research, 7(3), 334–343. 10.1002/aur.1367 24623657 | — | — | — |
| Cellot, G. , & Cherubini, E. (2014). Gabaergic signaling as therapeutic target for autism spectrum disorders. Frontiers in Pediatrics, 2, 70 10.3389/fped.2014.00070 25072038PMC4085902 | — | — | — |
| Chan, A. S. , Sze, S. L. , & Cheung, M. C. (2007). Quantitative electroencephalographic profiles for children with autistic spectrum disorder. Neuropsychology, 21(1), 74–81. 10.1037/0894-4105.21.1.74 17201531 | — | — | — |
| Chugani, H. T. , Phelps, M. E. , & Mazziotta, J. C. (1987). Positron emission tomography study of human brain functional development. Annals of Neurology, 22(4), 487–497. 10.1002/ana.410220408 3501693 | — | — | — |
| Coben, R. , & Myers, T. E. (2008). Connectivity theory of autism: Use of connectivity measures in assessing and treating autistic disorders. Journal of Neurotherapy, 12(2‐3), 161–179. 10.1080/10874200802398824 | — | — | — |
| Coben, R. , Clarke, A. R. , Hudspeth, W. , & Barry, R. J. (2008). EEG power and coherence in autistic spectrum disorder. Clinical Neurophysiology, 119(5), 1002–1009. 10.1016/j.clinph.2008.01.013 18331812 | — | — | — |
| Constantino, J. N. (2002). The social responsiveness scale. Los Angeles, CA: Western Psychological Services. | — | — | — |
| Courchesne, E. (2002). Abnormal early brain development in autism. Molecular Psychiatry, 7(Suppl 2), S21–S23. 10.1038/sj.mp.4001169 12142938 | — | — | — |
| Courchesne, E. , Campbell, K. , & Solso, S. (2011). Brain growth across the life span in autism: Age‐specific changes in anatomical pathology. Brain Research, 1380, 138–145. 10.1016/j.brainres.2010.09.101.20920490PMC4500507 | — | — | — |
| Courchesne, E. , Karns, C. M. , Davis, H. R. , Ziccardi, R. , Carper, R. A. , Tigue, Z. D. , … Courchesne, R. Y. (2001). Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study. Neurology, 57(2), 245–254. 10.1212/WNL.57.2.245 11468308 | — | — | — |
| Duffy, F. H. , & Als, H. (2012). A stable pattern of EEG spectral coherence distinguishes children with autism from neuro‐typical controls ‐ a large case control study. BMC Medicine, 10(1), 64 10.1186/1741-7015-10-64 22730909PMC3391175 | — | — | — |
| Dunbar, R. I. M. (1998). The social brain hypothesis. Evolutionary Anthropology. Issues News and Reviews, 6(5), 178–190. | — | — | — |
| Dunn, L. , Dunn, L. M. , & Arribas, D. (2006). PPVT‐III peabody, test de vocabulario en imágenes. Madrid, Spain: TEA Ediciones. | — | — | — |
| Fair, D. A. , Dosenbach, N. U. F. , Church, J. A. , Cohen, A. L. , Brahmbhatt, S. , Miezin, F. M. , … Schlaggar, B. L. (2007). Development of distinct control networks through segregation and integration. Proceedings of the National Academy of Sciences, 104(33), 13507–13512. 10.1073/pnas.0705843104 PMC194003317679691 | — | — | — |
| Ford, J. M. , Mathalon, D. H. , Whitfield, S. , Faustman, W. O. , & Roth, W. T. (2002). Reduced communication between frontal and temporal lobes during talking in schizophrenia. Biological Psychiatry, 51(6), 485–492. 10.1016/S0006-3223(01)01335-X 11922884 | — | — | — |
| Gabard‐Durnam, L. J. , Wilkinson, C. , Kapur, K. , Tager‐Flusberg, H. , Levin, A. R. , & Nelson, C. A. (2019). Longitudinal EEG power in the first postnatal year differentiates autism outcomes. Nature Communications, 10(1), 4188 10.1038/s41467-019-12202-9 PMC674447631519897 | — | — | — |
| Gilotty, L. , Kenworthy, L. , Sirian, L. , Black, D. O. , & Wagner, A. E. (2002). Adaptive skills and executive function in autism spectrum disorders. Child Neuropsychology (Neuropsychology, Development and Cognition: Section C), 8(4), 241–248. 10.1076/chin.8.4.241.13504 12759821 | — | — | — |
| Han, Y. M. Y. , & Chan, A. S. (2017). Disordered cortical connectivity underlies the executive function deficits in children with autism spectrum disorders. Research in Developmental Disabilities, 61, 19–31. 10.1016/j.ridd.2016.12.010 28042973 | — | — | — |
| Hazlett, H. C. , Poe, M. D. , Gerig, G. , Styner, M. , Chappell, C. , Smith, R. G. , … Piven, J. (2011). Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years. Archives of General Psychiatry, 68(5), 467 10.1001/archgenpsychiatry.2011.39 21536976PMC3315057 | — | — | — |
| Huttenlocher, P. R. , De Courten, C. , Garey, L. J. , & Hendrik, V. D. L. (1982). Synaptogenesis in human visual cortex — evidence for synapse elimination during normal development. Neuroscience Letters, 33(3), 247–252. 10.1016/0304-3940(82)90379-2 7162689 | — | — | — |
| Jia, W. , Kuang, F. , Lei, C. , Xujun, D. , Xiaonan, G. , … Heng, C. (2017). Increased gray matter volume and resting‐state functional connectivity in somatosensory cortex and their relationship with autistic symptoms in you ng boys with autism spectrum disorder. Frontiers in Physiology, 8, 588 10.3389/fphys.2017.00588 28861001PMC5559537 | — | — | — |
| Khan, S. , Gramfort, A. , Shetty, N. R. , Kitzbichler, M. G. , Ganesan, S. , Moran, J. M. , … Kenet, T. (2013). Local and long‐range functional connectivity is reduced in concert in autism spectrum disorders. Proceedings of the National Academy of Sciences, 110(8), 3107–3112. 10.1073/pnas.1214533110 PMC358198423319621 | — | — | — |
| Kikuchi, M. , Yoshimura, Y. , Hiraishi, H. , Munesue, T. , Hashimoto, T. , Tsubokawa, T. , … Minabe, Y. (2015). Reduced long‐range functional connectivity in young children with autism spectrum disorder. Social Cognitive and Affective Neuroscience, 10(2), 248–254. 10.1093/scan/nsu049 24652855PMC4321624 | — | — | — |
| Klem, G. H. , Luders, H. O. , Jasper, H. H. , & Elger, C. (1999). The ten‐twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. Electroencephalography and Clinical Neurophysiology, 52(Supplement), 3–6. 10.1097/00006534-195205000-00 10590970 | — | — | — |
| Lajiness‐O’Neill, R. , Richard, A. E. , Moran, J. E. , Olszewski, A. , Pawluk, L. , Jacobson, D. , … Bowyer, S. M. (2014). Neural synchrony examined with magnetoencephalography (MEG) during eye gaze processing in autism spectrum disorders: Preliminary findings. Journal of Neurodevelopmental Disorders, 6(1), 15 10.1186/1866-1955-6-15 24976870PMC4072845 | — | — | — |
| Lange, N. , Travers, B. G. , Bigler, E. D. , Prigge, M. B. D. , Froehlich, A. L. , Nielsen, J. A. , … Lainhart, J. E. (2015). Longitudinal volumetric brain changes in autism spectrum disorder ages 6–35 years. Autism Research, 8(1), 82–93. 10.1002/aur.1427 25381736PMC4344386 | — | — | — |
| Levin, A. R. , Varcin, K. J. , O’Leary, H. M. , Tager‐Flusberg, H. , & Nelson, C. A. (2017). EEG power at 3 months in infants at high familial risk for autism. Journal of Neurodevelopmental Disorders, 9(1), 34 10.1186/s11689-017-9214-9 28903722PMC5598007 | — | — | — |
| Lord, C. , Risi, S. , Lambrecht, L. , Cook, E. H. , Leventhal, B. L. , … Dilavore, P. C. (2000). The autism diagnostic observation schedule—generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism & Developmental Disorders, 30(3), 205–223. 10.1023/A:1005592401947 11055457 | — | — | — |
| Lord, C. , Rutter, M. , & Couteur, A. L. (1994). Autism diagnostic interview‐revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24(5), 659–685. 10.1007/BF02172145 7814313 | — | — | — |
| Lord, V. , & Opacka‐Juffry, J. (2016). Electroencephalography (EEG) measures of neural connectivity in the assessment of brain responses to salient auditory stimuli in patients with disorders of consciousness. Frontiers in Psychology, 7, 397 10.3389/fpsyg.2016.00397 27047424PMC4801887 | — | — | — |
| Léveillé, C. , Barbeau, E. B. , Bolduc, C. , Limoges, É. , Berthiaume, C. , Chevrier, É. , … Godbout, R. (2010). Enhanced connectivity between visual cortex and other regions of the brain in autism: A REM sleep EEG coherence study. Autism Research, 3(5), 280–285. 10.1002/aur.155 20717953 | — | — | — |
| Machado, C. , Estévez, M. , Leisman, G. , Melillo, R. , Rodríguez, R. , DeFina, P. , … Beltrán, C. (2015). QEEG spectral and coherence assessment of autistic children in three different experimental conditions. Journal of Autism and Developmental Disorders, 45(2), 406–424. 10.1007/s10803-013-1909-5 24048514PMC4309919 | — | — | — |
| Mathewson, K. J. , Jetha, M. K. , Drmic, I. E. , Bryson, S. E. , Goldberg, J. O. , & Schmidt, L. A. (2012). Regional EEG alpha power, coherence, and behavioral symptomatology in autism spectrum disorder. Clinical Neurophysiology, 123(9), 1798–1809. 10.1016/j.clinph.2012.02.061 22405935 | — | — | — |
| Minshew, N. J. , & Williams, D. L. (2007). The new neurobiology of autism: Cortex, connectivity, and neuronal organization. JAMA Neurology, 64(7), 945–950. 10.1001/archneur.64.7.945 PMC259778517620483 | — | — | — |
| Monk, C. S. , Weng, S. J. , Wiggins, J. L. , Kurapati, N. , Louro, H. M. , … Carrasco, M. (2010). Neural circuitry of emotional face processing in autism spectrum disorders. Journal of Psychiatry and Neuroscience, 35(2), 105–114. 10.1503/jpn.090085 20184808PMC2834792 | — | — | — |
| Murias, M. , Webb, S. J. , Greenson, J. , & Dawson, G. (2007). Resting state cortical connectivity reflected in EEG coherence in individuals with autism. Biological Psychiatry, 62(3), 270–273. 10.1016/j.biopsych.2006.11.012 17336944PMC2001237 | — | — | — |
| Nair, S. , Jao Keehn, R. J. , Berkebile, M. M. , Maximo, J. O. , Witkowska, N. , & Müller, R.‐A. (2018). Local resting state functional connectivity in autism: Site and cohort variability and the effect of eye status. Brain Imaging and Behavior, 12(1), 168–179. 10.1007/s11682-017-9678-y 28197860PMC5628079 | — | — | — |
| Orekhova, E. V. , Elsabbagh, M. , Jones, E. J. , Dawson, G. , Charman, T. , & Johnson, M. H. (2014). EEG hyper‐connectivity in high‐risk infants is associated with later autism. Journal of Neurodevelopmental Disorders, 6(1), 40 10.1186/1866-1955-6-40 25400705PMC4232695 | — | — | — |
| Pfurtscheller, G. , & Lopes da Silva, F. H. (1999). Event‐related EEG/MEG synchronization and desynchronization : Basic principles. Clinical Neurophysiology, 110(11), 1842–1857. 10.1016/S1388-2457(99) 10576479 | — | — | — |
| Pierce, K. , & Redcay, E. (2008). Fusiform function in children with an autism spectrum disorder is a matter of “who”. Biological Psychiatry, 64(7), 552–560. 10.1016/j.biopsych.2008.05.013 18621359PMC2673799 | — | — | — |
| Pop‐Jordanova, N. , Zorcec, T. , Demerdzieva, A. , & Gucev, Z. (2010). QEEG characteristics and spectrum weighted frequency for children diagnosed as autistic spectrum disorder. Nonlinear Biomedical Physics, 4(1), 4 10.1186/1753-4631-4-4 20920283PMC2959057 | — | — | — |
| Rajak, B. L. , Gupta, M. , Bhatia, D. , Mukherjee, A. , Paul, S. , & Sinha, T. K. (2018). Power spectral study of EEG signal from the frontal brain area of autistic children. Proceedings of the International Conference on Computing and Communication Systems, 523–529. 10.1007/978-981-10-6890-4_51 | — | — | — |
| Rane, P. , Cochran, D. , Hodge, S. M. , Haselgrove, C. , Kennedy, D. N. , & Frazier, J. A. (2015). Connectivity in autism: A review of MRI connectivity studies. Harvard Review of Psychiatry, 23(4), 223–244. 10.1097/HRP.0000000000000072 26146755PMC5083037 | — | — | — |
| Rinaldi, T. , Perrodin, C. , & Markram, H. (2008). Hyper‐connectivity and hyper‐plasticity in the medial prefrontal cortex in the valproic acid animal model of autism. Frontiers in Neural Circuits, 2, 4 10.3389/neuro.04.004.2008 18989389PMC2580056 | — | — | — |
| Rubenstein, J. L. R. , & Merzenich, M. M. (2003). Model of autism: Increased ratio of excitation/inhibition in key neural systems. Genes, Brain and Behavior, 2(5), 255–267. 10.1034/j.1601-183X.2003.00037.x PMC674864214606691 | — | — | — |
| Saunders, A. , Kirk, I. J. , & Waldie, K. E. (2016). Hemispheric coherence in ASD with and without comorbid ADHD and anxiety. BioMed Research International, 2016, 1–12. 10.1155/2016/4267842 PMC483439727127785 | — | — | — |
| Shafritz, K. M. , Dichter, G. S. , Baranek, G. T. , & Belger, A. (2008). The neural circuitry mediating shifts in behavioral response and cognitive set in autism. Biological Psychiatry, 63(10), 974–980. 10.1016/j.biopsych.2007.06.028 17916328PMC2599927 | — | — | — |
| Shephard, E. , Tye, C. , Ashwood, K. L. , Azadi, B. , Asherson, P. , Bolton, P. F. , & McLoughlin, G. (2018). Resting‐state neurophysiological activity patter‐ns in young people with ASD, ADHD, and ASD + ADHD. Journal of Autism and Developmental Disorders, 48(1), 110–122. 10.1007/s10803-017-3300-4 28900800PMC5760605 | — | — | — |
| Sparks, B. F. , Friedman, S. D. , Shaw, D. W. , Aylward, E. H. , Echelard, D. , Artru, A. A. , … Dager, S. R. (2002). Brain structural abnormalities in young children with autism spectrum disorder. Neurology, 59(2), 184–192. 10.1212/wnl.59.2.184 12136055 | — | — | — |
| Stroganova, T. A. , Nygren, G. , Tsetlin, M. M. , Posikera, I. N. , Gillberg, C. , Elam, M. , & Orekhova, E. V. (2007). Abnormal EEG lateralization in boys with autism. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 118(8), 1842–1854. 10.1016/j.clinph.2007.05.005 17581774 | — | — | — |
| Supekar, K. , Uddin, L. Q. , Khouzam, A. , Phillips, J. , Gaillard, W. D. , Kenworthy, L. E. , … Menon, V. (2013). Brain hyperconnectivity in children with autism and its links to social deficits. Cell Reports, 5(3), 738–747. 10.1016/j.celrep.2013.10.001 24210821PMC3894787 | — | — | — |
| Testa‐Silva, G. , Loebel, A. , Giugliano, M. , de Kock, C. P. , Mansvelder, H. D. , & Meredith, R. M. (2012) . Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism. Cerebral Cortex, 22(6), 1333–1342. 10.1093/cercor/bhr224 21856714PMC3561643 | — | — | — |
| Tononi, G. , Sporns, O. , & Edelman, G. M. (1994). A measure for brain complexity: Relating functional segregation and integration in the nervous system. Proceedings of the National Academy of Sciences, 91(11), 5033–5037. 10.1073/pnas.91.11.5033 PMC439258197179 | — | — | — |
| Tuchman, R. , & Cuccaro, M. (2011). Epilepsy and autism: Neurodevelopmental perspective. Current Neurology & Neuroscience Reports, 11(4), 428–434. 10.1007/s11910-011-0195-x 21424677 | — | — | — |
| Yizhar, O. , Fenno, L. E. , Prigge, M. , Schneider, F. , Davidson, T. J. , O’Shea, D. J. , … Deisseroth, K. (2011). Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature, 477(7363), 171–178. 10.1038/nature10360 21796121PMC4155501 | — | — | — |
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | 2023 | 37232664 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| EEG Correlates of Social-Communication Difficulties in Typically Developing Individuals: Functional Connectivity and Frequency-Domain Insights | Ullah MZ et al. | — | 2025 | — |
| EEG microstate-based static and dynamic brain functional network differences in autism spectrum disorder children and tDCS interventional modulation. | Kang J et al. | — | 2025 | → |
| Lower Cortical Activation and Altered Functional Connectivity Characterize Passive Auditory Spatial Attention in ASD. | Osorio S et al. | — | 2025 | → |
| The effects of neurofeedback training on behavior and brain functional networks in children with autism spectrum disorder. | Kang J et al. | — | 2025 | → |
| Theta and alpha connectivity in children with autism spectrum disorder. | Barnes SJK et al. | — | 2025 | → |
| Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model. | Xu Y et al. | — | 2024 | → |
| Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study. | Ke SY et al. | — | 2024 | → |
| Divergent electroencephalogram resting-state functional network alterations in subgroups of autism spectrum disorder: a symptom-based clustering analysis. | Zhu G et al. | — | 2024 | → |
| Identification of autism spectrum disorder based on electroencephalography: A systematic review. | Li J et al. | — | 2024 | → |
| Model selection to achieve reproducible associations between resting state EEG features and autism. | Carson WE et al. | — | 2024 | → |
| Slow-wave brain connectivity predicts executive functioning and group belonging in socially vulnerable individuals. | Lanfranco RC et al. | — | 2024 | → |
| EEG Connectivity Diversity Differences between Children with Autism and Typically Developing Children: A Comparative Study. | Kang J et al. | — | 2023 | → |
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | Kamarajan C et al. | — | 2023 | → |
| Study subnetwork developing pattern of autism children by non-negative matrix factorization. | Zheng J et al. | — | 2023 | → |
| Genetic mutation of TRPV2 induces anxiety by decreasing GABA-B R2 expression in hippocampus. | Liu G et al. | — | 2022 | → |
| High Dimensional Convolutional Neural Network for EEG Connectivity-Based Diagnosis of ADHD. | Mafi M et al. | — | 2022 | → |
| Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis. | Garcés P et al. | — | 2022 | → |
| Electroencephalography in Assessment of Autism Spectrum Disorders: A Review. | Milovanovic M et al. | — | 2021 | → |
| The Directionality of Fronto-Posterior Brain Connectivity Is Associated with the Degree of Individual Autistic Traits. | Tarasi L et al. | — | 2021 | → |
| Increased EEG coherence in long-distance and short-distance connectivity in children with autism spectrum disorders. | Wang J et al. | — | 2020 | → |