Cited by 450Functional Brain Connectivity StudiesGenetic Associations and EpidemiologyAdvanced Neuroimaging Techniques and Applications

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Genetic control over the resting brain

Open access

Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., Curran, J. C., Olvera, R. L., Laird, A. R., Smith, S. M., Beckmann, C. F., Fox, P. T., Blangero, J.·2010·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.0909969107PMC PMC2824276

Open this paper in CoChat — free account

Abstract

The default-mode network, a coherent resting-state brain network, is thought to characterize basal neural activity. Aberrant default-mode connectivity has been reported in a host of neurological and psychiatric illnesses and in persons at genetic risk for such illnesses. Whereas the neurophysiologic mechanisms that regulate default-mode connectivity are unclear, there is growing evidence that genetic factors play a role. In this report, we estimate the importance of genetic effects on the default-mode network by examining covariation patterns in functional connectivity among 333 individuals from 29 randomly selected extended pedigrees. Heritability for default-mode functional connectivity was 0.424 ± 0.17 ( P = 0.0046). Although neuroanatomic variation in this network was also heritable, the genetic factors that influence default-mode functional connectivity and gray-matter density seem to be distinct, suggesting that unique genes influence the structure and function of the network. In contrast, significant genetic correlations between regions within the network provide evidence that the same genetic factors contribute to variation in functional connectivity throughout the default mode. Specifically, the left parahippocampal region was genetically correlated with all other network regions. In addition, the posterior cingulate/precuneus region, medial prefrontal cortex, and right cerebellum seem to form a subnetwork. Default-mode functional connectivity is influenced by genetic factors that cannot be attributed to anatomic variation or a single region within the network. By establishing the heritability of default-mode functional connectivity, this experiment provides the obligatory evidence required before these measures can be considered as endophenotypes for psychiatric or neurological illnesses or to identify genes influencing intrinsic brain function.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1073/pnas.0909969107

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Self-citation
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
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
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
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
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
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Self-citation
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
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
Self-citation

Flagged first, then by citations

Show all 52 references

Sorted by citations

Items 101–200 of 448

Genetic variations influence brain changes in patients with attention-deficit hyperactivity disorder
Yadav, S. K., Bhat, A. A., Hashem, S., Nisar, S., Kamal, M., Syed, N., Temanni, M.-R., Gupta, R. K., Kamran, S., Azeem, M. W., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01473-w · Cited by 108
Disrupted Functional Brain Networks in Autistic Toddlers
Boersma, M., Kemner, C., de Reus, M. A., Collin, G., Snijders, T. M., Hofman, D., Buitelaar, J. K., Stam, C. J., & van den Heuvel, M. P. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0127 · Cited by 93
Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance
Rogala, J., Kublik, E., Krauz, R., & Wróbel, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-61866-7 · Cited by 90
Multimodal hyperscanning reveals that synchrony of body and mind are distinct in mother-child dyads
Reindl, V., Wass, S. V., Leong, V., Scharke, W., Wistuba, S., Wirth, C. L., Konrad, K., & Gerloff, C. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118982 · Cited by 90
The Myth of Optimality in Clinical Neuroscience
Holmes, A. J., & Patrick, L. M. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.12.006 · Cited by 89
Higher order thoughts in action: consciousness as an unconscious re-description process
Timmermans, B., Schilbach, L., Pasquali, A., & Axel Cleeremans, B. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0421 · Cited by 91
The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis
Reinen, J., Chén, O. Y., Hutchison, R. M., Yeo, B. T. T., Anderson, K. M., Sabuncu, M. R., Öngür, D., Roffman, J. L., Smoller, J. W., Baker, J. T., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03462-y · Cited by 84
Longitudinal Evidence for Dissociation of Anterior and Posterior MTL Resting-State Connectivity in Aging: Links to Perfusion and Memory
Salami, A., Wåhlin, A., Kaboodvand, N., Lundquist, A., & Nyberg, L. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw233 · Cited by 93
A single session of exercise increases connectivity in sensorimotor-related brain networks: a resting-state fMRI study in young healthy adults
Rajab, A. S., Crane, D., Middleton, L. E., Robertson, A. D., Hampson, M., & MacIntosh, B. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00625 · Cited by 92
Clinical Concepts Emerging from fMRI Functional Connectomics
Matthews, P. M., & Hampshire, A. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.031 · Cited by 83
Test-retest reliability of dynamic functional connectivity in resting state fMRI
Zhang, C., Baum, S. A., Adduru, V. R., Biswal, B. B., & Michael, A. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.021 · Cited by 84
Key functional circuitry altered in schizophrenia involves parietal regions associated with sense of self
Guo, S., Kendrick, K. M., Yu, R., Wang, H. S., & Feng, J. (2012) · Human Brain Mapping · doi:10.1002/hbm.22162 · Cited by 85
Human functional connectivity: new tools, unresolved questions
Buckner, R. L. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005987107 · Cited by 80
Heritability of individualized cortical network topography
Anderson, K. M., Ge, T., Kong, R., Patrick, L. M., Spreng, R. N., Sabuncu, M. R., Yeo, B. T. T., & Holmes, A. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2016271118 · Cited by 90
Influence of age, sex and genetic factors on the human brain
McKay, D., Knowles, E. E. M., Winkler, A. M., Sprooten, E., Kochunov, P., Olvera, R. L., Curran, J. E., Kent, J. W., Carless, M. A., Göring, H. H. H., et al. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9277-5 · Cited by 80
Self-citation
Dopamine, fronto-striato-thalamic circuits and risk for psychosis.
Dandash, O., Pantelis, C., & Fornito, A. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2016.08.020 · Cited by 89
Multiscale Neuroscience of Psychiatric Disorders
van den Heuvel, M. P., Scholtens, L. H., & Kahn, R. S. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.05.015 · Cited by 79
Diminished Posterior Precuneus Connectivity with the Default Mode Network Differentiates Normal Aging from Alzheimer's Disease
Klaassens, B. L., van Gerven, J., van der Grond, J., de Vos, F., Möller, C., & Rombouts, S. A. R. B. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00097 · Cited by 80
Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability
Xu, T., Opitz, A., Craddock, R. C., Wright, M. J., Zuo, X., & Milham, M. P. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw241 · Cited by 80
Development of brain networks and relevance of environmental and genetic factors: A systematic review
Richmond, S., Johnson, K. A., Seal, M. L., Allen, N. B., & Whittle, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.024 · Cited by 70
Bayesian models for functional magnetic resonance imaging data analysis
Zhang, L., Guindani, M., & Vannucci, M. (2014) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.1339 · Cited by 72
Genetic and environmental influences on functional connectivity within and between canonical cortical resting-state networks throughout adolescent development in boys and girls
Teeuw, J., Brouwer, R. M., Guimaraes, J., Brandner, P., Koenis, M. M. G., Swagerman, S. C., Verwoert, M., Boomsma, D. I., & Pol, H. E. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116073 · Cited by 79
Heritability of the network architecture of intrinsic brain functional connectivity
Sinclair, B., Hansell, N. K., Blokland, G. A. M., Martin, N. G., Thompson, P. M., Breakspear, M. J., de Zubicaray, G. I., Wright, M. J., & McMahon, K. L. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.048 · Cited by 78
Causes and Consequences of Interindividual Response Variability: A Call to Apply a More Rigorous Research Design in Acute Exercise-Cognition Studies
Herold, F., Törpel, A., Hamacher, D., Budde, H., Zou, L., Strobach, T., Müller, N. G., & Gronwald, T. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.682891 · Cited by 80
Functional dysconnectivity of corticostriatal circuitry and differential response to methylphenidate in youth with attention-deficit/hyperactivity disorder
Hong, S.-B., Harrison, B. J., Fornito, A., Sohn, C., Song, I. C., & Kim, J.-W. (2015) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130290 · Cited by 76
Higher body mass index is associated with reduced posterior default mode connectivity in older adults
Beyer, F., Masouleh, S. K., Huntenburg, J. M., Lampe, L., Luck, T., Riedel-Heller, S. G., Loeffler, M., Schroeter, M. L., Stümvoll, M., Villringer, A., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23605 · Cited by 75
Massively expedited genome-wide heritability analysis (MEGHA)
Ge, T., Nichols, T. E., Lee, P. H., Holmes, A. J., Roffman, J. L., Buckner, R. L., Sabuncu, M. R., & Smoller, J. W. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415603112 · Cited by 72
Electrophysiological markers of genetic risk for attention deficit hyperactivity disorder
Tye, C., McLoughlin, G., Kuntsi, J., & Asherson, P. J. (2011) · Expert Reviews in Molecular Medicine · doi:10.1017/s1462399411001797 · Cited by 73
Genetic influences on resting‐state functional networks: A twin study
Fu, Y., Ma, Z., Hamilton, C. M., Liang, Z., Hou, X., Ma, X., Hu, X., He, Q., Deng, W., Wang, Y., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22890 · Cited by 72
Brain connectivity in psychiatric imaging genetics
Tost, H., Bilek, E., & Meyer‐Lindenberg, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.007 · Cited by 72
A review on neuroimaging studies of genetic and environmental influences on early brain development
Gao, W., Grewen, K., Knickmeyer, R. C., Qiu, A., Salzwedel, A., Lin, W., & Gilmore, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.032 · Cited by 72
Review of functional magnetic resonance imaging studies comparing bipolar disorder and schizophrenia
Whalley, H. C., Papmeyer, M., Sprooten, E., Lawrie, S. M., Sussmann, J. E., & McIntosh, A. M. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.01016.x · Cited by 70
Establishing the resting state default mode network derived from functional magnetic resonance imaging tasks as an endophenotype: A twins study
Korgaonkar, M. S., Ram, K., Williams, L. M., Gatt, J. M., & Grieve, S. M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22446 · Cited by 74
Heritability of head motion during resting state functional MRI in 462 healthy twins
Couvy‐Duchesne, B., Blokland, G. A. M., Hickie, I. B., Thompson, P. M., Martin, N. G., de Zubicaray, G. I., McMahon, K. L., & Wright, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.010 · Cited by 65
Exact topological inference of the resting-state brain networks in twins
Chung, M. K., Lee, H., DiChristofano, A., Ombao, H., & Solo, V. (2019) · Network Neuroscience · doi:10.1162/netn_a_00091 · Cited by 64
The interrelation of sleep and mental and physical health is anchored in grey-matter neuroanatomy and under genetic control
Tahmasian, M., Samea, F., Khazaie, H., Zarei, M., Masouleh, S. K., Hoffstaedter, F., Camilleri, J. A., Kochunov, P., Yeo, B. T. T., Eickhoff, S. B., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0892-6 · Cited by 67
Self-citation
Default mode network activity in male adolescents with conduct and substance use disorder
Dalwani, M. S., Tregellas, J. R., Andrews‐Hanna, J. R., Mikulich‐Gilbertson, S. K., Raymond, K. M., Banich, M. T., Crowley, T. J., & Sakai, J. T. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.10.009 · Cited by 66
Network Controllability in Transmodal Cortex Predicts Positive Psychosis Spectrum Symptoms
Parkes, L., Moore, T. M., Calkins, M. E., Cieslak, M., Roalf, D. R., Wolf, D. H., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.03.016 · Cited by 60
Disorders and borders: Psychiatric genetics and nosology
Smoller, J. W. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32174 · Cited by 68
Cortical thickness, surface area and folding in patients with psychogenic nonepileptic seizures
Ristić, A. J., Daković, M. Z., Kerr, M., Kovačević, M., Parojčić, A., & Sokić, D. V. (2015) · Epilepsy Research · doi:10.1016/j.eplepsyres.2015.02.015 · Cited by 63
A selective involvement of putamen functional connectivity in youth with internet gaming disorder
Hong, S., Harrison, B. J., Dandash, O., Choi, E., Kim, S.-C., Kim, H., Shim, D.-H., Kim, C.-D., Kim, J.-W., & Yi, S.-H. (2014) · Brain Research · doi:10.1016/j.brainres.2014.12.042 · Cited by 62
Neurobiological candidate endophenotypes of social anxiety disorder
Bas‐Hoogendam, J. M., Blackford, J. U., Brühl, A. B., Blair, K. S., van der Wee, N. J. A., & Westenberg, P. M. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.040 · Cited by 68
Increased temporo‐insular engagement in unmedicated bipolar II disorder: an exploratory resting state study using independent component analysis
Yip, S. W., Mackay, C. E., & Goodwin, G. M. (2014) · Bipolar Disorders · doi:10.1111/bdi.12206 · Cited by 61
Where the genome meets the connectome: Understanding how genes shape human brain connectivity
Arnatkevičiūtė, A., Fulcher, B., Bellgrove, M. A., & Fornito, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118570 · Cited by 60
Catechol-O-methyltransferase (COMT) influences the connectivity of the prefrontal cortex at rest
Tunbridge, E. M., Farrell, S., Harrison, P. J., & Mackay, C. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.059 · Cited by 61
Two common and distinct forms of variation in human functional brain networks
Dworetsky, A., Seitzman, B. A., Adeyemo, B., Nielsen, A. N., Hatoum, A. S., Smith, D. M., Nichols, T. E., Neta, M., Petersen, S. E., & Gratton, C. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01618-2 · Cited by 70
Intersubject similarity of personality is associated with intersubject similarity of brain connectivity patterns
Liu, W., Kohn, N., & Fernández, G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.062 · Cited by 59
Estimating the heritability of structural and functional brain connectivity in families affected by Attention Deficit Hyperactivity Disorder
Sudre, G., Choudhuri, S., Székely, E., Bonner, T., Goduni, E., Sharp, W., & Shaw, P. (2017) · JAMA psychiatry · doi:10.1001/jamapsychiatry.2016.3072 · Cited by 54
Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression
Talishinsky, A., Downar, J. H., Vértes, P. E., Seidlitz, J., Dunlop, K., Lynch, C. J., Whalley, H. C., McIntosh, A. M., Vila‐Rodriguez, F., Daskalakis, Z. J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32617-1 · Cited by 56
Hemispheric asymmetries of functional connectivity and grey matter volume in the default mode network
Saenger, V. M., Barrios, F. A., Martínez-Gudiño, M. D. L., & Alcauter, S. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.02.014 · Cited by 59
Imaging-wide association study: integrating imaging endophenotypes in GWAS
Xu, Z., Wu, C., & Pan, W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.036 · Cited by 56
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function
Vergara, V. M., Ulloa, A., Calhoun, V. D., Boutte, D., Chen, J., & Liu, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.060 · Cited by 55
Brain SCALE: Brain Structure and Cognition: an Adolescent Longitudinal Twin Study into the Genetic Etiology of Individual Differences
van Soelen, I. L. C., Brouwer, R. M., Peper, J. S., van Leeuwen, M., Koenis, M. M. G., van Beijsterveldt, T. C. E. M., Swagerman, S. C., Kahn, R. S., Pol, H. E. H., & Boomsma, D. I. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.4 · Cited by 56
Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline
Adhikari, B. M., Jahanshad, N., Shukla, D., Glahn, D. C., Blangero, J., Fox, P. T., Reynolds, R. C., Cox, R. W., Fieremans, E., Veraart, J., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24331 · Cited by 52
Self-citation
Sex Differences in Functional Brain Networks for Language
Xu, M., Liang, X., Ou, J., Li, H., Luo, Y., & Tan, L. H. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz184 · Cited by 54
Correlation between cortical gene expression and resting‐state functional network centrality in healthy young adults
Zhu, D., Yuan, T., Gao, J., Xu, Q., Xue, K., Zhu, W., Tang, J., Liu, F., Wang, J., & Yu, C. (2021) · Human Brain Mapping · doi:10.1002/hbm.25362 · Cited by 54
White Matter Heritability Using Diffusion Tensor Imaging in Neonatal Brains
Geng, X., Prom-Wormley, E. C., Perez, J., Kubarych, T., Styner, M., Lin, W., Neale, M. C., & Gilmore, J. H. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.14 · Cited by 53
Genetics and Brain Morphology
Strike, L. T., Couvy‐Duchesne, B., Hansell, N. K., Cuéllar-Partida, G., Medland, S. E., & Wright, M. J. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9281-1 · Cited by 53
Disrupted default mode network connectivity in male adolescents with conduct disorder
Zhou, J., Yao, N., Fairchild, G. F., Cao, X., Zhang, Y., Xiang, Y., Zhang, L., & Wang, X. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9465-6 · Cited by 51
Neuroimaging genomics in psychiatry—a translational approach
Mufford, M. S., Stein, D. J., Dalvie, S., Groenewold, N. A., Thompson, P. M., & Jahanshad, N. (2017) · Genome Medicine · doi:10.1186/s13073-017-0496-z · Cited by 55
Future avenues for Alzheimer's disease detection and therapy: liquid biopsy, intracellular signaling modulation, systems pharmacology drug discovery
Hampel, H. J., Vergallo, A., Caraci, F., Cuello, A. C., Lemercier, P., Vellas, B. J., Giudici, K. V., Baldacci, F., Hänisch, B., Haberkamp, M., et al. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108081 · Cited by 52
Coordinate-Based Meta-Analysis of the Default Mode and Salience Network for Target Identification in Non-Invasive Brain Stimulation of Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia Networks
Pievani, M., Pini, L., Ferrari, C., Pizzini, F. B., Galazzo, I. B., Cobelli, C., Cotelli, M., Manenti, R., & Frisoni, G. B. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161105 · Cited by 52
Network community structure alterations in adult schizophrenia: identification and localization of alterations
Lerman-Sinkoff, D. B., & Barch, D. M. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.11.011 · Cited by 49
A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population
Luo, N., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Chen, J., Zhang, F., Tian, L., Lin, D., Song, M., Calhoun, V. D., Cui, Y. J., Vergara, V. M., et al. (2018) · EBioMedicine · doi:10.1016/j.ebiom.2018.10.009 · Cited by 50
Altered white matter microarchitecture in the cingulum bundle in women with primary dysmenorrhea: A tract-based analysis study
Liu, J., Liu, H., Mu, J., Xu, Q., Chen, T., Dun, W., Yang, J., Tian, J., Hu, L., & Zhang, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23670 · Cited by 48
Time for the systems-level integration of aging: Resilience enhancing strategies to prevent Alzheimer’s disease
Hampel, H. J., Lista, S., Néri, C., & Vergallo, A. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101662 · Cited by 47
Neural networks in psychiatry
Pol, H. E. H., & Bullmore, E. T. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.12.004 · Cited by 50
Multi-region hemispheric specialization differentiates human from nonhuman primate brain function
Wey, H., Phillips, K. A., McKay, D. R., Laird, A. R., Kochunov, P., Davis, M. D., Glahn, D. C., Duong, T. Q., & Fox, P. T. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0620-9 · Cited by 46
Self-citation
Heritability of the Effective Connectivity in the Resting-State Default Mode Network
Xu, J., Yin, X., Ge, H., Han, Y., Pang, Z., Liu, B., Liu, S., & Friston, K. J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw332 · Cited by 43
Functional Integration Between the Two Brain Hemispheres: Evidence From the Homotopic Functional Connectivity Under Resting State
Jin, X., Liang, X., & Gong, G. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00932 · Cited by 46
Functional connectivity measures as schizophrenia intermediate phenotypes: advances, limitations, and future directions
Cao, H., Dixson, L., Meyer‐Lindenberg, A., & Tost, H. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.07.008 · Cited by 52
The relationship between default mode network connectivity and social functioning in individuals at familial high-risk for schizophrenia
Dodell‐Feder, D., DeLisi, L. E., & Hooker, C. I. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.03.031 · Cited by 51
Heritability of the limbic networks
Budisavljevic, S., Kawadler, J. M., Dell'Acqua, F., Rijsdijk, F. V., Kane, F., Picchioni, M., McGuire, P., Toulopoulou, T., Georgiades, A., Kalidindi, S., et al. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv156 · Cited by 46
Functional and effective whole brain connectivity using magnetoencephalography to identify monozygotic twin pairs
Demuru, M., Gouw, A. A., Hillebrand, A., Stam, C. J., van Dijk, B. W., Scheltens, P., Tijms, B. M., Konijnenberg, E., ten Kate, M., den Braber, A., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-10235-y · Cited by 44
Genetic and Neuroimaging Approaches to Understanding Post-Traumatic Stress Disorder
Nisar, S., Bhat, A. A., Hashem, S., Syed, N., Yadav, S. K., Shahab Uddin, M. S., Fakhro, K. A., Bagga, P., Thompson, P. M., Reddy, R. D., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124503 · Cited by 48
Individual variability in functional connectivity architecture of the mouse brain
Bergmann, E., Gofman, X., Kavushansky, A., & Kahn, I. (2020) · Communications Biology · doi:10.1038/s42003-020-01472-5 · Cited by 48
Convergent Evidence from Multimodal Imaging Reveals Amygdala Abnormalities in Schizophrenic Patients and Their First-Degree Relatives
Tian, L., Meng, C., Yan, H., Zhao, Q., Liu, Q., Yan, J., Han, Y., Yuan, H., Wang, L., Yue, W., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028794 · Cited by 44
Theory of mind and the social brain: implications for understanding the genetic basis of schizophrenia
Martin, A. K., Robinson, G. A., Dzafic, I., Reutens, D. C., & Mowry, B. J. (2013) · Genes Brain & Behavior · doi:10.1111/gbb.12066 · Cited by 52
Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders
Alex, A. M., Buß, C., Davis, E. P., Campos, G. D. L., Donald, K. A., Fair, D. A., Gaab, N., Gao, W., Gilmore, J. H., Girault, J. B., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.01.013 · Cited by 45
Examining Functional Resting-State Connectivity in Psychosis and Its Subgroups in the Bipolar-Schizophrenia Network on Intermediate Phenotypes Cohort
Meda, S. A., Clementz, B. A., Sweeney, J. A., Keshavan, M. S., Tamminga, C. A., Ivleva, E. I., & Pearlson, G. D. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.07.001 · Cited by 43
Multimodal neural correlates of cognitive control in the Human Connectome Project
Lerman-Sinkoff, D. B., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rachakonda, S., Kandala, S., Calhoun, V. D., & Barch, D. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.081 · Cited by 43
Multimodal analysis of cortical chemoarchitecture and macroscale fMRI resting‐state functional connectivity
van den Heuvel, M. P., Scholtens, L. H., Turk, E., Mantini, D., Vanduffel, W., & Barrett, L. F. (2016) · Human Brain Mapping · doi:10.1002/hbm.23229 · Cited by 40
Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function
Lefort‐Besnard, J., Bassett, D. S., Smallwood, J., Margulies, D. S., Derntl, B., Gruber, O., Aleman, A., Jardri, R., Varoquaux, G. P., Thirion, B., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23870 · Cited by 41
Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder
Yamagata, B., Itahashi, T., Fujino, J., Ohta, H., Nakamura, M., Kato, N., Mimura, M., Hashimoto, R.-I., & Aoki, Y. Y. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9973-2 · Cited by 43
Functional Connectivity Fingerprints at Rest Are Similar across Youths and Adults and Vary with Genetic Similarity
Demeter, D. V., Engelhardt, L. E., Mallett, R., Gordon, E. M., Nugiel, T., Harden, K. P., Tucker–Drob, E. M., Lewis‐Peacock, J. A., & Church, J. A. (2019) · iScience · doi:10.1016/j.isci.2019.100801 · Cited by 42
A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives
Li, L., Yu, X., Sheng, C., Jiang, X., Zhang, Q., Han, Y., & Jiang, J. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00315-z · Cited by 40
Shared Genetic Risk of Schizophrenia and Gray Matter Reduction in 6p22.1
Chen, J., Calhoun, V. D., Lin, D., Perrone‐Bizzozero, N. I., Bustillo, J., Pearlson, G. D., Potkin, S. G., van Erp, T. G. M., Macciardi, F. M., Ehrlich, S., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby010 · Cited by 42
Resting-state functional MRI of the default mode network in epilepsy
Gonen, O. M., Kwan, P., O'Brien, T. J., LUI, E. H., & Desmond, P. M. (2020) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2020.107308 · Cited by 44
APOE Status Modulates the Changes in Network Connectivity Induced by Brain Stimulation in Non-Demented Elders
Peña-Gómez, C., Solé‐Padullés, C., Clemente, I. C., Junqué, C., Bargalló, N., Bosch, B., Molinuevo, J. L., Valls‐Solé, J., Pascual‐Leone, Á., & Bartrés‐Faz, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051833 · Cited by 39
Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data
Kim, J., Zhang, Y., & Pan, W. (2016) · Genetics · doi:10.1534/genetics.115.186502 · Cited by 39
Resting-state Abnormalities in Heroin-dependent Individuals
Pandria, N., Kovatsi, L., Vivas, A. B., & Bamidis, P. D. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.11.018 · Cited by 42
Heritability of Functional Connectivity in Resting State: Assessment of the Dynamic Mean, Dynamic Variance, and Static Connectivity across Networks
Barber, A. D., Hegarty, C. E., Lindquist, M. A., & Karlsgodt, K. H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa391 · Cited by 35
Individual differences in haemoglobin concentration influence bold fMRI functional connectivity and its correlation with cognition
Ward, P. G. D., Orchard, E. R., Oldham, S., Arnatkevičiūtė, A., Sforazzini, F., Fornito, A., Storey, E., Egan, G. F., & Jamadar, S. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117196 · Cited by 38
Individual variability in functional organization of the neonatal brain
Molloy, M. F., & Saygin, Z. M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119101 · Cited by 42
Evidence for cerebello-thalamo-cortical hyperconnectivity as a heritable trait for schizophrenia
Cao, H., Ingvar, M., Hultman, C. M., & Cannon, T. D. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0531-5 · Cited by 40
Imaging Epigenetics in Alzheimer’s Disease
Lista, S., Garaci, F. G., Toschi, N., & Hampel, H. J. (2013) · Current Pharmaceutical Design · doi:10.2174/13816128113199990370 · Cited by 36
Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome
Parkes, L., Kim, J. Z., Stiso, J., Calkins, M. E., Cieslak, M., Gur, R. E., Gur, R. C., Moore, T. M., Ouellet, M., Roalf, D. R., et al. (2022) · Science Advances · doi:10.1126/sciadv.add2185 · Cited by 34
Disrupted resting brain graph measures in individuals at high risk for alcoholism
Holla, B., Panda, R., Venkatasubramanian, G., Biswal, B. B., Bharath, R. D., & Benegal, V. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.05.002 · Cited by 34
Distinctive heritability patterns of subcortical-prefrontal cortex resting state connectivity in childhood: A twin study
Achterberg, M., Bakermans‐Kranenburg, M. J., van IJzendoorn, M. H., van der Meulen, M., Tottenham, N., & Crone, E. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.076 · Cited by 35
Tracking mood fluctuations with functional network patterns
Mirchi, N., Betzel, R. F., Bernhardt, B. C., Dagher, A., & Mišić, B. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy107 · Cited by 39

Authors: Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., Curran, J. C., Olvera, R. L., Laird, A. R., Smith, S. M., Beckmann, C. F., Fox, P. T., & Blangero, J.
Affiliations: Hartford Hospital (US)
The University of Texas at San Antonio Health Science Center (US)
Texas Biomedical Research Institute (US)
Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245;
University of Oxford (GB)
ORCID: Glahn, D. C.
Winkler, A. M.
Kochunov, P.
Almasy, L.
Carless, M. A.
Olvera, R. L.
Laird, A. R.
Smith, S. M.
Beckmann, C. F.
Fox, P. T.
Blangero, J.
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2010-01-19
Volume: 107
Issue: 3
Pages: 1223-1228
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.0909969107
PMC: PMC2824276
OpenAlex: W2158611196
Cited by: 450
References: 52
Citations by year: 2026: 7 · 2025: 18 · 2024: 15 · 2023: 18 · 2022: 27 · 2021: 35 · 2020: 27 · 2019: 36 · 2018: 34 · 2017: 33 · 2016: 39 · 2015: 28 · 2014: 29 · 2013: 35 · 2012: 39
FWCI: 19.88
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Open Repository and Bibliography (University of Liège) (submittedVersion, other-oa)
ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
57th Annual Meeting (October 26-31, 2010)
Funders: National Institute of Mental Health (R01MH078111, R37MH059490, R01MH074457, MH0708143, -MH078111, R01MH083824, MH083824, MH59490, R01MH059490)
National Institute of Biomedical Imaging and Bioengineering (EB006395, K01EB006395)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: default mode network, resting-state functional connectivity, heritability, genetic correlation, extended pedigrees, gray matter density, parahippocampal region, posterior cingulate cortex, precuneus, medial prefrontal cortex, cerebellum, endophenotypes
MeSH terms: Brain, Humans, Magnetic Resonance Imaging, Genome, Human

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Genetic control over the resting brain

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks