Genetic control over the resting brain

Advances in functional and structural MR image analysis and implementation as FSL

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A default mode of brain function

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Functional connectivity in the motor cortex of resting human brain using echo‐planar mri

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The Brain's Default Network: Anatomy, Function, and Relevance to Disease

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Voxel-Based Morphometry—The Methods

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Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

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Functional connectivity in the resting brain: a network analysis of the default mode hypothesis

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Correspondence of the brain's functional architecture during activation and rest

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A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains

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Consistent resting-state networks across healthy subjects

Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326

Genetic influence on ageing-related changes in resting-state brain functional networks in healthy adults: A systematic review

Foo, H., Mather, K. A., Jiang, J., Thalamuthu, A., Wen, W. X., & Sachdev, P. S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.03.011 · Cited by 34

Brainnetome-wide association studies in schizophrenia: The advances and future

Jiang, T., Zhou, Y., Liu, B., Liu, Y., & Song, M. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.10.004 · Cited by 33

The resting-state brain activity signatures for addictive disorders

Zheng, H., Zhai, T., Lin, X., Dong, G., Yang, Y., & Yuan, T. (2024) · Med · doi:10.1016/j.medj.2024.01.008 · Cited by 37

Impacts of PICALM and CLU variants associated with Alzheimer’s disease on the functional connectivity of the hippocampus in healthy young adults

Zhang, P., Qin, W., Wang, D., Liu, B., Zhang, Y., Jiang, T., & Yu, C. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0738-4 · Cited by 34

Abnormal Rich-Club Organization Associated with Compromised Cognitive Function in Patients with Schizophrenia and Their Unaffected Parents

Zhao, X., Tian, L., Yan, J., Yue, W., Yan, H., & Zhang, D. (2017) · Neuroscience Bulletin · doi:10.1007/s12264-017-0151-0 · Cited by 31

An investigation of a genomewide supported psychosis variant in ZNF804A and white matter integrity in the human brain

Sprooten, E., McIntosh, A. M., Lawrie, S. M., Hall, J., Sussmann, J. E., Dahmen, N., Konrad, A., Bastin, M. E., & Winterer, G. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.05.013 · Cited by 31

Brain Connectome Mapping of Complex Human Traits and Their Polygenic Architecture Using Machine Learning

Maglanoc, L. A., Kaufmann, T., van der Meer, D., Marquand, A. F., Wolfers, T., Jonassen, R., Hilland, E., Andreassen, O. A., Landrø, N. I., & Westlye, L. T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.10.011 · Cited by 31

Identify changes of brain regional homogeneity in early and later adult onset patients with first-episode depression using resting-state fMRI

Shen, Z., Jiang, L., Yang, S., Ye, J., Dai, N., Liu, X., Li, N., Lü, J., Liu, F., Lü, Y., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184712 · Cited by 31

Genetic and Environmental Influence on the Human Functional Connectome

Reineberg, A. E., Hatoum, A. S., Hewitt, J. K., Banich, M. T., & Friedman, N. P. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz225 · Cited by 31

Compromised small-world efficiency of structural brain networks in schizophrenic patients and their unaffected parents

Yan, H., Tian, L., Wang, Q., Zhao, Q., Yue, W., Yan, J., Liu, B., & Zhang, D. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1518-0 · Cited by 29

The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology

Ge, T., Chen, C., Doyle, A. E., Vettermann, R., Tuominen, L. J., Holt, D. J., Sabuncu, M. R., & Smoller, J. W. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy216 · Cited by 30

Behavioral, Anatomical and Heritable Convergence of Affect and Cognition in Superior Frontal Cortex

Kraljević, N., Schaare, H. L., Eickhoff, S. B., Kochunov, P., Yeo, B. T. T., Masouleh, S. K., & Valk, S. L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118561 · Cited by 30

Posttraumatic stress disorder symptom severity is associated with reduced default mode network connectivity in individuals with elevated genetic risk for psychopathology

Miller, D. R., Logue, M. W., Wolf, E. J., Maniates, H., Robinson, M. E., Hayes, J. P., Stone, A., Schichman, S. A., McGlinchey, R. E., Milberg, W., et al. (2017) · Depression and Anxiety · doi:10.1002/da.22633 · Cited by 28

Combining fMRI during resting state and an attention bias task in children

Harrewijn, A., Abend, R., Linke, J. O., Brotman, M. A., Fox, N. A., Leibenluft, E., Winkler, A. M., & Pine, D. S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116301 · Cited by 29

Diverse functional connectivity patterns of resting-state brain networks associated with good and poor hand outcomes following stroke

Hong, W., Lin, Q., Cui, Z., Liu, F., Xu, R. H., & Tang, C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102065 · Cited by 29

Somatization Severity Associated with Postero-Medial Complex Structures

Lemche, E., Giampietro, V., Brammer, M. J., Surguladze, S. A., Williams, S., & Phillips, M. L. (2013) · Scientific Reports · doi:10.1038/srep01032 · Cited by 28

Effect of PICALM rs3851179 polymorphism on the default mode network function in mild cognitive impairment

Sun, D.-M., Chen, H., Zuo, Q.-L., Su, F., Bai, F., & Liu, C. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.05.043 · Cited by 27

Personality and local brain structure: Their shared genetic basis and reproducibility

Valk, S. L., Hoffstaedter, F., Camilleri, J. A., Kochunov, P., Yeo, B. T. T., & Eickhoff, S. B. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117067 · Cited by 31

Topological learning for brain networks

Songdechakraiwut, T., & Chung, M. K. (2023) · The Annals of Applied Statistics · doi:10.1214/22-aoas1633 · Cited by 32

The heritability of brain metabolites on proton magnetic resonance spectroscopy in older individuals

Batouli, S. A. H., Sachdev, P. S., Wen, W. X., Wright, M. J., Suo, C., Ames, D. J., & Trollor, J. N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.043 · Cited by 25

Default network activity is a sensitive and specific biomarker of memory in multiple sclerosis

Sumowski, J. F., Wylie, G. R., Leavitt, V. M., Chiaravalloti, N. D., & DeLuca, J. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512448267 · Cited by 25

Serotonin and the Brain's Rich Club—Association Between Molecular Genetic Variation on the TPH2 Gene and the Structural Connectome

Markett, S. A., de Reus, M. A., Reuter, M., Montag, C., Weber, B., Schoene‐Bake, J., & van den Heuvel, M. P. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw059 · Cited by 27

Baseline vs. cross-sectional MRI of concussion: distinct brain patterns in white matter and cerebral blood flow

Churchill, N. W., Hutchison, M. G., Graham, S. J., & Schweizer, T. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-58073-9 · Cited by 26

Integrative Functional, Molecular, and Transcriptomic Analyses of Altered Intrinsic Timescale Gradient in Depression

Han, S., Zheng, R., Li, S., Zhou, B., Jiang, Y. B., Wang, C., Wei, Y., Pang, J., Li, H., Zhang, Y., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.826609 · Cited by 23

Meta-connectomic analysis maps consistent, reproducible, and transcriptionally relevant functional connectome hubs in the human brain

Xu, Z., Xia, M., Wang, X., Liao, X., Zhao, T., & Yong He, A. (2022) · Communications Biology · doi:10.1038/s42003-022-04028-x · Cited by 29

5-HT2A Gene Variants Moderate the Association between PTSD and Reduced Default Mode Network Connectivity

Miller, M. W., Sperbeck, E., Robinson, M. E., Sadeh, N., Wolf, E. J., Hayes, J. P., Logue, M. W., Schichman, S. A., Stone, A., Milberg, W., et al. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00299 · Cited by 25

Heritability of hippocampal functional and microstructural organisation

Bayrak, Ş., de Wael, R. V., Schaare, H. L., Hettwer, M. D., Caldairou, B., Bernasconi, A., Bernasconi, N., Bernhardt, B. C., & Valk, S. L. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119656 · Cited by 25

Relationship of a common OXTR gene variant to brain structure and default mode network function in healthy humans

Wang, J., Braskie, M. N., Hafzalla, G. W., Faskowitz, J., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., Yu, C., & Thompson, P. M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.062 · Cited by 24

Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry

Lydon‐Staley, D. M., & Bassett, D. S. (2018) · Current topics in behavioral neurosciences · doi:10.1007/7854_2018_41 · Cited by 24

On the intersection between data quality and dynamical modelling of large-scale fMRI signals

Aquino, K. M., Fulcher, B., Oldham, S., Parkes, L., Gollo, L. L., Deco, G., & Fornito, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119051 · Cited by 23

Graph Theory Measures and Their Application to Neurosurgical Eloquence

Tanglay, O., Dadario, N. B., Chong, E. H. N., Tang, S. J., Young, I. M., & Sughrue, M. E. (2023) · Cancers · doi:10.3390/cancers15020556 · Cited by 24

Circulating PACAP levels are associated with increased amygdala-default mode network resting-state connectivity in posttraumatic stress disorder

Clancy, K. J., Devignes, Q., Kumar, P., May, V., Hammack, S. E., Akman, E., Casteen, E. J., Pernia, C. D., Jobson, S. A., Lewis, M. W., et al. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01593-5 · Cited by 22

A review of functional magnetic resonance imaging for Brainnetome

Song, M., & Jiang, T. (2012) · Neuroscience Bulletin · doi:10.1007/s12264-012-1244-4 · Cited by 23

Effect of Variation in Diacylglycerol Kinase Eta (DGKH) Gene on Brain Function in a Cohort at Familial Risk of Bipolar Disorder

Whalley, H. C., Papmeyer, M., Romaniuk, L., Johnstone, E. C., Hall, J., Lawrie, S. M., Sussmann, J. E., & McIntosh, A. M. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.272 · Cited by 26

Gibbs distribution for statistical analysis of graphical data with a sample application to fcMRI brain images

Rosa, P. S. L., Brooks, T. L., Deych, E., Shands, B., Prior, F., Larson‐Prior, L. J., & Shannon, W. D. (2015) · Statistics in Medicine · doi:10.1002/sim.6757 · Cited by 24

Environmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronization

Córdova‐Palomera, A., Tornador, C., Falcón, C., Bargalló, N., Brambilla, P., Crespo‐Facorro, B., Deco, G., & Fañanás, L. (2016) · Scientific Reports · doi:10.1038/srep37384 · Cited by 25

Multimodal Connectomics in Psychiatry: Bridging Scales From Micro to Macro

Scholtens, L. H., & van den Heuvel, M. P. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.017 · Cited by 24

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study

Rashid, B., Chen, J., Rashid, I., Damaraju, E., Liu, J., Miller, R. L., Agcaoglu, O., van Erp, T. G. M., Lim, K. O., Turner, J. A., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.004 · Cited by 25

Accelerated estimation and permutation inference for ACE modeling

Chen, X., Formisano, E., Blokland, G. A. M., Strike, L. T., McMahon, K. L., de Zubicaray, G. I., Thompson, P. M., Wright, M. J., Winkler, A. M., Ge, T., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24611 · Cited by 18

Neurocognitive Phenotypes and Genetic Dissection of Disorders of Brain and Behavior

Congdon, E., Poldrack, R. A., & Freimer, N. B. (2010) · Neuron · doi:10.1016/j.neuron.2010.10.007 · Cited by 22

Quantifying familial influences on brain activation during the monetary incentive delay task: An adolescent monozygotic twin study

Silverman, M. H., Krueger, R. F., Iacono, W. G., Malone, S. M., Hunt, R. H., & Thomas, K. M. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.07.016 · Cited by 20

Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networks

Colclough, G. L., Woolrich, M. W., Harrison, S. J., Rojas-López, P. A., Valdes-Sosa, P. A., & Smith, S. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.077 · Cited by 21

Body mass variability is represented by distinct functional connectivity patterns

Sadler, J. R., Shearrer, G. E., & Burger, K. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.082 · Cited by 22

Development of Individual Variability in Brain Functional Connectivity and Capability across the Adult Lifespan

Ma, L., Tian, L., Hu, T., Jiang, T., & Zuo, N. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab059 · Cited by 23

Neural Mechanism Underling Comprehension of Narrative Speech and Its Heritability: Study in a Large Population

Abbas Babajani-feremi, A. (2017) · Brain Topography · doi:10.1007/s10548-017-0550-6 · Cited by 22

Functional ultrasound imaging: A useful tool for functional connectomics?

de Paz, J. M. M., & Macé, É. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118722 · Cited by 19

Genetic contribution to the phenotypic correlation between trait impulsivity and resting-state functional connectivity of the amygdala and its subregions

Zheng, D., Chen, J., Wang, X., & Zhou, Y. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.07.010 · Cited by 21

Functional network dynamics in a neurodevelopmental disorder of known genetic origin

Hawkins, E., Akarca, D., Zhang, M., Brkić, D., Woolrich, M. W., Baker, K., & Astle, D. E. (2019) · Human Brain Mapping · doi:10.1002/hbm.24820 · Cited by 18

Voxelwise eigenvector centrality mapping of the human functional connectome reveals an influence of the catechol-O-methyltransferase val158met polymorphism on the default mode and somatomotor network

Markett, S. A., Montag, C., Heeren, B., Sariyska, R., Lachmann, B., Weber, B., & Reuter, M. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1069-9 · Cited by 22

Machine learning: assessing neurovascular signals in the prefrontal cortex with non-invasive bimodal electro-optical neuroimaging in opiate addiction

Ieong, H. F.-H., Gao, F. Q., & Yuan, Z. (2019) · Scientific Reports · doi:10.1038/s41598-019-54316-6 · Cited by 21

Topological Learning and Its Application to Multimodal Brain Network Integration

Songdechakraiwut, T., Shen, L., & Chung, M. K. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87196-3_16 · Cited by 20

Gene expression associated with individual variability in intrinsic functional connectivity

Li, L., Wei, Y., Zhang, J., Ma, J., Yi, Y., Gu, Y., Li, L. M. W., Lin, Y., & Dai, Z. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118743 · Cited by 19

Cognitive dysfunction is worse among pediatric patients with bipolar disorder Type I than Type II

Schenkel, L. S., West, A. E., Jacobs, R. H., Sweeney, J. A., & Pavuluri, M. N. (2012) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2011.02519.x · Cited by 20

Imaging genetics — towards discovery neuroscience

Ge, T., Schumann, G., & Feng, J. (2013) · Quantitative Biology · doi:10.1007/s40484-013-0023-1 · Cited by 21

Global Genetic Variations Predict Brain Response to Faces

Dickie, E. W., Tahmasebi, A. M., French, L., Kovacevic, N., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., Conrod, P., Flor, H., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004523 · Cited by 20

Memory Function and Brain Functional Connectivity Adaptations Following Multiple-Modality Exercise and Mind–Motor Training in Older Adults at Risk of Dementia: An Exploratory Sub-Study

Silva, N. C. B. S., Nagamatsu, L. S., Gill, D. P., Owen, A. M., & Petrella, R. J. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00022 · Cited by 22

Salience network connectivity is reduced by a meal and influenced by genetic background and hypothalamic gliosis

SEWAYBRICKER, L. E., Melhorn, S. J., Askren, M. K., Webb, M. F., Tyagi, V., Leon, M. R. B. D., Grabowski, T. J., Seeley, W. W., & Schur, E. A. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0361-9 · Cited by 20

Gestational age-related changes in the fetal functional connectome: in utero evidence for the global signal

Kim, J.-H., De Asis-Cruz, J., Cook, K. M., & Limperopoulos, C. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac209 · Cited by 19

Large-scale cortical functional networks are organized in structured cycles

van Es, M. W. J., Higgins, C., Gohil, C., Quinn, A. J., Vidaurre, D., & Woolrich, M. W. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02052-8 · Cited by 19

Resting-state functional connectivity in lifelong musicians

Eierud, C., Michael, A., Banks, D., & Andrews, E. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad003 · Cited by 18

Molecular mechanisms underlying the neural correlates of working memory

Xu, X., Zhao, H., Song, Y., Cai, H., Zhao, W., Tang, J., Zhu, J., & Yu, Y. (2024) · BMC Biology · doi:10.1186/s12915-024-02039-0 · Cited by 18

A Network of Genes, Genetic Disorders, and Brain Areas

Hayasaka, S., Hugenschmidt, C. E., & Laurienti, P. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020907 · Cited by 19

Default mode network in young people with familial risk for psychosis — The Oulu Brain and Mind Study

Jukuri, T., Kiviniemi, V. V., Nikkinen, J., Miettunen, J., Mäki, P. H., Jääskeläinen, E., Mukkala, S., Koivukangas, J., Nordström, T., Taanila, A. M., et al. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.11.020 · Cited by 21

Estimating the Heritability of Experiencing Child Maltreatment in an Extended Family Design

Pittner, K., Bakermans‐Kranenburg, M. J., Alink, L. R. A., Buisman, R. S. M., van den Berg, L. J. M., Block, L. C.-D., Voorthuis, A., Elzinga, B. M., Lindenberg, J., Tollenaar, M. S., et al. (2019) · Child Maltreatment · doi:10.1177/1077559519888587 · Cited by 19

Comparison of Twin and Extended Pedigree Designs for Obtaining Heritability Estimates

Docherty, A. R., Kremen, W. S., Panizzon, M. S., Prom‐Wormley, E. C., Franz, C. E., Lyons, M. J., Eaves, L. J., & Neale, M. C. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9720-z · Cited by 18

Behavioral and Health Correlates of Resting-State Metastability in the Human Connectome Project

Lee, W. H., Moser, D. A., Ing, A., Doucet, G. E., & Frangou, S. (2018) · Brain Topography · doi:10.1007/s10548-018-0672-5 · Cited by 18

Intergenerational transmission of the patterns of functional and structural brain networks

Takagi, Y., Okada, N., Ando, S., Yahata, N., Morita, K., Koshiyama, D., Kawakami, S., Sawada, K., Koike, S., Endo, K., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102708 · Cited by 17

Variability in Resting State Network and Functional Network Connectivity Associated With Schizophrenia Genetic Risk: A Pilot Study

Chen, J., Rashid, B., Yu, Q., Liu, J., Lin, D., Du, Y., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., & Calhoun, V. D. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00114 · Cited by 18

Elevated resting-state connectivity in the medial temporal lobe and the prefrontal cortex among patients with Cushing’s syndrome in remission

Stomby, A., Salami, A., Dahlqvist, P. M., Evang, J. A., Ryberg, M., Bollerslev, J., Olsson, T., Johannsson, G., & Ragnarsson, Ó. (2019) · European Journal of Endocrinology · doi:10.1530/eje-19-0028 · Cited by 18

Common variants contribute to intrinsic human brain functional networksPreprint

Zhao, B., Li, T., Smith, S. M., Xiong, D., Wang, X., Yang, Y., Luo, T., Zhu, Z., Shan, Y., Matoba, N., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.30.229914 · Cited by 18

Person-based similarity in brain structure and functional connectivity in bipolar disorder

Doucet, G. E., Glahn, D. C., & Frangou, S. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.06.041 · Cited by 18

Functional and Developmental Significance of Amplitude Variance Asymmetry in the BOLD Resting-State Signal

Davis, B., Jovicich, J., Iacovella, V., & Hasson, U. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs416 · Cited by 17

Copy number deletion burden is associated with cognitive, structural, and resting-state network differences in patients with schizophrenia

Martin, A. K., Robinson, G. A., Reutens, D. C., & Mowry, B. J. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.07.002 · Cited by 16

A Neurobiological Model of Alcohol Marketing Effects on Underage Drinking

Courtney, A. L., Casey, B. J., & Rapuano, K. M. (2020) · Journal of Studies on Alcohol and Drugs Supplement · doi:10.15288/jsads.2020.s19.68 · Cited by 17

LinkRbrain: Multi-scale data integrator of the brain

Mesmoudi, S., Rodic, M., Cioli, C., Cointet, J., Yarkoni, T., & Burnod, Y. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.12.008 · Cited by 16

Resting state synchrony in anxiety-related circuits of abstinent alcohol-dependent patients

Orbán, C., McGonigle, J., Kalk, N. J., Erritzøe, D., Waldman, A. D., Nutt, D., Rabiner, E. A., & Lingford-Hughes, A. R. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.846348 · Cited by 16

Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns

Feng, J., Chen, C., Cai, Y., Ye, Z., Feng, K., Liu, J., Zhang, L., Yang, Q., Li, A., Sheng, J., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25018 · Cited by 17

Serotonin 2A receptor polymorphism rs3803189 mediated by dynamics of default mode network: a potential biomarker for antidepressant early response

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Principal and independent genomic components of brain structure and function

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