Modality-spanning deficits in attention-deficit/hyperactivity disorder in functional networks, gray matter, and white matter
Open accessAbstract
Previous neuroimaging investigations in attention-deficit/hyperactivity disorder (ADHD) have separately identified distributed structural and functional deficits, but interconnections between these deficits have not been explored. To unite these modalities in a common model, we used joint independent component analysis, a multivariate, multimodal method that identifies cohesive components that span modalities. Based on recent network models of ADHD, we hypothesized that altered relationships between large-scale networks, in particular, default mode network (DMN) and task-positive networks (TPNs), would co-occur with structural abnormalities in cognitive regulation regions. For 756 human participants in the ADHD-200 sample, we produced gray and white matter volume maps with voxel-based morphometry, as well as whole-brain functional connectomes. Joint independent component analysis was performed, and the resulting transmodal components were tested for differential expression in ADHD versus healthy controls. Four components showed greater expression in ADHD. Consistent with our a priori hypothesis, we observed reduced DMN-TPN segregation co-occurring with structural abnormalities in dorsolateral prefrontal cortex and anterior cingulate cortex, two important cognitive control regions. We also observed altered intranetwork connectivity in DMN, dorsal attention network, and visual network, with co-occurring distributed structural deficits. There was strong evidence of spatial correspondence across modalities: For all four components, the impact of the respective component on gray matter at a region strongly predicted the impact on functional connectivity at that region. Overall, our results demonstrate that ADHD involves multiple, cohesive modality spanning deficits, each one of which exhibits strong spatial overlap in the pattern of structural and functional alterations.
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
Cites
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?
Studies of individuals with ADHD report reduced segregation of DMN-FPN networks in children, adolescents, and adults.
“Specifically, studies of individuals with ADHD report reduced segregation of DMN-FPN networks in children, adolescents, and adults (Kessler et al., 2014; Sudre et al., 2017)”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Kessler et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803 · see citing works
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 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
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 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Fast and robust fixed-point algorithms for independent component analysis
Hyvärinen, A. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.761722 · Cited by 6,239 · see citing works
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.042 · Cited by 4,502 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
MacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000) · Science · doi:10.1126/science.288.5472.1835 · Cited by 3,666 · see citing works
Distinct brain networks for adaptive and stable task control in humans
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704320104 · Cited by 2,632 · see citing works
A dual-networks architecture of top-down control
Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.001 · Cited by 1,931 · see citing works
Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation
Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707741104 · Cited by 1,819 · see citing works
Conners, C. K., Sitarenios, G., Parker, J. D. A., & Epstein, J. N. (1998) · Journal of Abnormal Child Psychology · doi:10.1023/a:1022602400621 · Cited by 1,772 · see citing works
Multi-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works
The neural bases of momentary lapses in attention
Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006) · Nature Neuroscience · doi:10.1038/nn1727 · Cited by 1,566 · see citing works
Intellectual ability and cortical development in children and adolescents
Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543 · see citing works
Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., Calabresi, P. A., Pekar, J. J., van Zijl, P. C. M., & Mori, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.053 · Cited by 1,507 · see citing works
Spatial Neglect and Attention Networks
Corbetta, M., & Shulman, G. L. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113731 · Cited by 1,318 · see citing works
The maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314 · see citing works
Competition between functional brain networks mediates behavioral variability
Kelly, A. M. C., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.008 · Cited by 1,287 · see citing works
Spreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.016 · Cited by 1,256 · see citing works
Validating the independent components of neuroimaging time series via clustering and visualization
Himberg, J., Hyvärinen, A., & Esposito, F. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.027 · Cited by 1,246 · see citing works
Development of distinct control networks through segregation and integration
Fair, D. A., Dosenbach, N. U. F., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705843104 · Cited by 1,244 · see citing works
Characterizing cognition in ADHD: beyond executive dysfunction
Castellanos, F. X., Sonuga-Barke, E. J. S., Milham, M. P., & Tannock, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.01.011 · Cited by 1,170 · see citing works
A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
Calhoun, V. D., Liu, J., & Adalı, T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.057 · Cited by 1,148 · see citing works
Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies
Cortese, S., Kelly, C., Chabernaud, C., Proal, E., Di Martino, A., Milham, M. P., & Castellanos, F. X. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11101521 · Cited by 1,067 · cited 2× · see citing works
“…speculated that patterns of structural and functional alterations seen in ADHD represent a meaningful pattern; they seem to implicate functionally related neural circuits (Makris et al., 2007; Pironti et al., 2014) or exhibit patterns of spatial overlap (Shaw et al., 2007; Cortese et al., 2012).”
BackgroundThe role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978 · see citing works
Is ADHD a disinhibitory disorder?
Nigg, J. T. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.5.571 · Cited by 893 · see citing works
Sonuga-Barke, E. J. S., & Castellanos, F. X. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.02.005 · Cited by 890 · see citing works
Bush, G., Frazier, J. A., Rauch, S. L., Seidman, L. J., Whalen, P. J., Jenike, M. A., Rosen, B. R., & Biederman, J. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00083-9 · Cited by 866 · see citing works
Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., Di Martino, A., Biswal, B., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.025 · Cited by 854 · see citing works
Large-scale brain systems in ADHD: beyond the prefrontal–striatal model
Castellanos, F. X., & Proal, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.007 · Cited by 831 · see citing works
The neural correlates of attention deficit hyperactivity disorder: an ALE meta‐analysis
Dickstein, S. G., Bannon, K., Xavier Castellanos, F., & Milham, M. P. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01671.x · Cited by 745 · see citing works
Structural Brain Imaging of Attention-Deficit/Hyperactivity Disorder
Seidman, L. J., Valera, E. M., & Makris, N. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.019 · Cited by 676 · see citing works
Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668 · see citing works
Concurrent TMS-fMRI and Psychophysics Reveal Frontal Influences on Human Retinotopic Visual Cortex
Ruff, C. C., Blankenburg, F., Bjoertomt, O., Bestmann, S., Freeman, E., Haynes, J.-D., Rees, G., Josephs, O., Deichmann, R., & Driver, J. (2006) · Current Biology · doi:10.1016/j.cub.2006.06.057 · Cited by 514 · see citing works
Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463 · see citing works
Cognitive and Perceptual Functions of the Visual Thalamus
Saalmann, Y. B., & Kästner, S. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.027 · Cited by 461 · see citing works
Network homogeneity reveals decreased integrity of default-mode network in ADHD
Uddin, L. Q., Kelly, A. M. C., Biswal, B. B., Margulies, D. S., Shehzad, Z., Shaw, D., Ghaffari, M., Rotrosen, J., Adler, L. A., Castellanos, F. X., et al. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.11.031 · Cited by 452 · see citing works
Makris, N., Biederman, J., Valera, E. M., Bush, G., Kaiser, J., Kennedy, D. N., Caviness, V. S., Faraone, S. V., & Seidman, L. J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl047 · Cited by 450 · see citing works
Tian, L., Jiang, T., Wang, Y., Zang, Y., He, Y., Liang, M., Sui, M., Cao, Q., Hu, S., Peng, M., et al. (2006) · Neuroscience Letters · doi:10.1016/j.neulet.2006.02.022 · Cited by 392 · see citing works
Stimulus contrast modulates functional connectivity in visual cortex
Nauhaus, I., Busse, L., Carandini, M., & Ringach, D. L. (2008) · Nature Neuroscience · doi:10.1038/nn.2232 · Cited by 380 · see citing works
Seidman, L. J., Valera, E. M., Makris, N., Monuteaux, M. C., Boriel, D., Kelkar, K., Kennedy, D. N., Caviness, V. S., Bush, G., Aleardi, M., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.04.031 · Cited by 378 · see citing works
Abnormal Functional Connectivity in Children with Attention-Deficit/Hyperactivity Disorder
Tomasi, D., & Volkow, N. D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.003 · Cited by 363 · see citing works
The effect of model order selection in group PICA
Abou‐Elseoud, A., Starck, T., Remes, J. J., Nikkinen, J., Tervonen, O. A., & Kiviniemi, V. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.20929 · Cited by 362 · see citing works
Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder
Fair, D. A., Posner, J., Nagel, B. J., Bathula, D., Dias, T. G. C., Mills, K. L., Blythe, M. S., Giwa, A., Schmitt, C. F., & Nigg, J. T. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.003 · Cited by 354 · see citing works
Di Martino, A., Zuo, X.-N., Kelly, C., Grzadzinski, R., Mennes, M., Schvarcz, A., Rodman, J., Lord, C., Castellanos, F. X., & Milham, M. P. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.02.011 · Cited by 345 · see citing works
A lack of default network suppression is linked to increased distractibility in ADHD
Fassbender, C., Zhang, H., Buzy, W. M., Cortes, C. R., Mizuiri, D., Beckett, L., & Schweitzer, J. B. (2009) · Brain Research · doi:10.1016/j.brainres.2009.02.070 · Cited by 316 · see citing works
MRC AIMS consortium, Christakou, A., Murphy, C. M., Chantiluke, K., Cubillo, A. I., Smith, A. B., Giampietro, V, Daly, E., Ecker, C., Robertson, D., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2011.185 · Cited by 293 · see citing works
Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Pearlson, G. D., Caprihan, A., Adalı, T., Kiehl, K. A., Liu, J., Yamamoto, J., & Calhoun, V. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.055 · Cited by 259 · see citing works
Calhoun, V. D., Adalı, T., Giuliani, N. R., Pekar, J. J., Kiehl, K. A., & Pearlson, G. D. (2005) · Human Brain Mapping · doi:10.1002/hbm.20166 · Cited by 259 · see citing works
Sripada, C., Kessler, D. A., & Angstadt, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407787111 · Cited by 244 · see citing works
Self-citationKhadka, S., Meda, S. A., Stevens, M. C. G., Glahn, D. C., Calhoun, V. D., Sweeney, J. A., Tamminga, C. A., Keshavan, M. S., O'Neil, K. M., Schretlen, D. J., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.024 · Cited by 219 · see citing works
Cognitive Control Processes in Attention Deficit/Hyperactivity Disorder
Douglas, V. I. (1999) · Springer eBooks · doi:10.1007/978-1-4615-4881-2_5 · Cited by 218 · see citing works
Frontal parietal control network regulates the anti‐correlated default and dorsal attention networks
Gao, W., & Lin, W. (2011) · Human Brain Mapping · doi:10.1002/hbm.21204 · Cited by 216 · see citing works
Bush, G., Spencer, T. J., Holmes, J., Shin, L. M., Valera, E. M., Seidman, L. J., Makris, N., Surman, C., Aleardi, M., Mick, E., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.16 · Cited by 201 · see citing works
ICA model order selection of task co-activation networks
Ray, K. L., McKay, D., Fox, P. M., Riedel, M. C., Uecker, A. M., Beckmann, C. F., Smith, S. M., Fox, P. T., & Laird, A. R. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00237 · Cited by 199 · see citing works
Deconstructing the Architecture of Dorsal and Ventral Attention Systems with Dynamic Causal Modeling
Vossel, S., Weidner, R., Driver, J., Friston, K. J., & Fink, G. R. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0414-12.2012 · Cited by 196 · see citing works
Disrupted network architecture of the resting brain in attention‐deficit/hyperactivity disorder
Sripada, C., Kessler, D. A., Fang, Y., Welsh, R. C., Kumar, K. P., & Angstadt, M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22504 · Cited by 189 · see citing works
Self-citationA method for multitask fMRI data fusion applied to schizophrenia
Calhoun, V. D., Adalı, T., Kiehl, K. A., Astur, R. S., Pekar, J. J., & Pearlson, G. D. (2005) · Human Brain Mapping · doi:10.1002/hbm.20204 · Cited by 159 · see citing works
Connectivity Gradients Between the Default Mode and Attention Control Networks
Anderson, J. S., Ferguson, M. A., Lopez-Larson, M. P., & Yurgelun-Todd, D. A. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0007 · Cited by 150 · see citing works
Ray, S., Miller, M., Karalunas, S., Robertson, C., Grayson, D. S., Cary, R. P., Hawkey, E., Painter, J. G., Kriz, D., Fombonne, E., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22603 · Cited by 149 · see citing works
Sripada, C., Angstadt, M., Kessler, D. A., Phan, K. L., Liberzon, I., Evans, G. W., Welsh, R. C., Kim, P., & Swain, J. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.006 · Cited by 93 · see citing works
Self-citationPironti, V. A., Lai, M., Müller, U., Dodds, C. M., John Suckling, A., Bullmore, E. T., & Sahakian, B. J. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.09.025 · Cited by 86 · see citing works
Watanabe, T., Kessler, D. A., Scott, C. D., Angstadt, M., & Sripada, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.067 · Cited by 64 · see citing works
Self-citationKao, G. S., & Thomas, H. (2010) · Journal of Psychoeducational Assessment · doi:10.1177/0734282909360011 · Cited by 64 · see citing works
Viezel, K., Zibulsky, J., Dumont, R., & Willis, J. O. (2014) · Encyclopedia of Special Education · doi:10.1002/9781118660584.ese0559 · Cited by 62 · see citing works
Sripada, C., Kessler, D. A., Welsh, R. C., Angstadt, M., Liberzon, I., Phan, K. L., & Scott, C. D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.016 · Cited by 51 · see citing works
Self-citationRicciardi, E., Handjaras, G., Bernardi, G., Pietrini, P., & Furey, M. L. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.07.003 · Cited by 39 · see citing works
Driver, J., Blankenburg, F., Bestmann, S., & Ruff, C. C. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2205-7 · Cited by 34 · see citing works
McAvoy, M. P., Larson‐Prior, L. J., Ludwikow, M., Zhang, D., Snyder, A. Z., Gusnard, D. L., Raichle, M. E., & d’Avossa, G. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00900.2011 · Cited by 31 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context
Römer, D., Reyna, V. F., & Satterthwaite, T. D. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.07.007 · Cited by 421 · see citing works
Dynamics of large-scale electrophysiological networks: A technical review
O’Neill, G. C., Tewarie, P. K. B., Vidaurre, D., Liuzzi, L., Woolrich, M. W., & Brookes, M. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.003 · Cited by 214 · see citing works
Castellanos, F. X., & Aoki, Y. Y. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.03.004 · Cited by 185 · see citing works
Gao, Y.-X., Shuai, D.-D., Bu, X., Hu, X.-Y., Tang, S., Zhang, L.-Q., Li, H.-L., Hu, X.-X., Lu, L., Gong, Q., et al. (2019) · Psychological Medicine · doi:10.1017/s003329171900237x · Cited by 151 · see citing works
O’Neill, G. C., Barratt, E. L., Hunt, B. A. E., Tewarie, P. K. B., & Brookes, M. J. (2015) · Physics in Medicine and Biology · doi:10.1088/0031-9155/60/21/r271 · Cited by 139 · see citing works
Martinat, M., Rossitto, M., Miceli, M. D., & Layé, S. (2021) · Nutrients · doi:10.3390/nu13041185 · Cited by 142 · see citing works
Normalization of network connectivity in hemispatial neglect recovery
Ramsey, L., Siegel, J. S., Baldassarre, A., Metcalf, N. V., Zinn, K., Shulman, G. L., & Corbetta, M. (2016) · Annals of Neurology · doi:10.1002/ana.24690 · Cited by 114 · see citing works
Kessler, D. A., Angstadt, M., & Sripada, C. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0088 · Cited by 109 · see citing works
Self-citationMeasurement of dynamic task related functional networks using MEG
O’Neill, G. C., Tewarie, P. K. B., Colclough, G. L., Gascoyne, L. E., Hunt, B. A. E., Morris, P. G., Woolrich, M. W., & Brookes, M. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.061 · Cited by 107 · see citing works
Kucyi, A., Hove, M. J., Biederman, J., Dijk, K. R. A. V., & Valera, E. M. (2015) · Human Brain Mapping · doi:10.1002/hbm.22850 · Cited by 95 · see citing works
Anomalous network architecture of the resting brain in children who stutter
Chang, S., Angstadt, M., Chow, H. M., Etchell, A. C., Garnett, E. O., Choo, A. L., Kessler, D. A., Welsh, R. C., & Sripada, C. (2017) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2017.01.002 · Cited by 127 · see citing works
Self-citationYip, S. W., Morie, K. P., Xu, J., Constable, R. T., Malison, R. T., Carroll, K. M., & Potenza, M. N. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.03.001 · Cited by 80 · see citing works
Basic Units of Inter-Individual Variation in Resting State Connectomes
Sripada, C., Angstadt, M., Rutherford, S. E., Kessler, D. A., Kim, Y., Yee, M. A., & Levina, E. (2019) · Scientific Reports · doi:10.1038/s41598-018-38406-5 · Cited by 80 · see citing works
Self-citationMapping hybrid functional-structural connectivity traits in the human connectome
Amico, E., & Goñi, J. (2018) · Network Neuroscience · doi:10.1162/netn_a_00049 · Cited by 65 · see citing works
Optimising experimental design for MEG resting state functional connectivity measurement
Liuzzi, L., Gascoyne, L. E., Tewarie, P. K. B., Barratt, E. L., Boto, E., & Brookes, M. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.064 · Cited by 62 · see citing works
Bonath, B., Tegelbeckers, J., Wilke, M., Flechtner, H., & Krauel, K. (2016) · Journal of Attention Disorders · doi:10.1177/1087054715619682 · Cited by 61 · see citing works
Mowinckel, A. M., Alnæs, D., Pedersen, M. L., Ziegler, S., Fredriksen, M., Kaufmann, T., Sonuga-Barke, E. J. S., Endestad, T., Westlye, L. T., & Biele, G. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.03.008 · Cited by 62 · see citing works
Shappell, H. M., Duffy, K. A., Rosch, K. S., Pekar, J. J., Mostofsky, S. H., Lindquist, M. A., & Cohen, J. R. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117753 · Cited by 60 · see citing works
Guanfacine Extended Release: A New Pharmacological Treatment Option in Europe
Huß, M., Chen, W., & Ludolph, A. G. (2015) · Clinical Drug Investigation · doi:10.1007/s40261-015-0336-0 · Cited by 56 · see citing works
de Lacy, N., & Calhoun, V. D. (2018) · Network Neuroscience · doi:10.1162/netn_a_00063 · Cited by 49 · see citing works
Unique white matter microstructural patterns in ADHD presentations—a diffusion tensor imaging study
Svatkova, A., Nestrasil, I., Rudser, K., Goldenring Fine, J., Bledsoe, J., & Semrud‐Clikeman, M. (2016) · Human Brain Mapping · doi:10.1002/hbm.23243 · Cited by 44 · see citing works
“Accumulating evidence confirms impairments in baseline brain functioning in ADHD [Kessler et al., 2014].”
BackgroundBigler, E. D. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9290-0 · Cited by 44 · see citing works
Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD
Wolfers, T., Llera, A., Onnink, A. M. H., Dammers, J. T., Hoogman, M., Zwiers, M. P., Buitelaar, J. K., Franke, B., Marquand, A. F., & Beckmann, C. F. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160240 · Cited by 46 · see citing works
Duffy, K. A., Rosch, K. S., Nebel, M. B., Seymour, K. E., Lindquist, M. A., Pekar, J. J., Mostofsky, S. H., & Cohen, J. R. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100980 · Cited by 44 · see citing works
Vidal, L. M., Martínez‐Garcia, M., Pretus, C., García‐García, D., Martínez, K., Janssen, J., Vilarroya, Ó., Castellanos, F. X., Desco, M., Sepulcre, J., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24013 · Cited by 40 · see citing works
Multimodal Structural Neuroimaging Markers of Brain Development and ADHD Symptoms
Ball, G., Malpas, C. B., Genc, S., Efron, D., Sciberras, E., Anderson, V. A., Nicholson, J. M., & Silk, T. J. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18010034 · Cited by 37 · see citing works
Wu, Z.-M., Llera, A., Hoogman, M., Cao, Q., Zwiers, M. P., Bralten, J., Li, A., Sun, L., Yang, L., Yang, B., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101851 · Cited by 38 · see citing works
A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome VariabilityPreprint
Kiar, G., Bridgeford, E., Roncal, W. G., Chandrashekhar, V., Mhembere, D., Ryman, S. G., Zuo, X., Margulies, D. S., Craddock, R. C., Priebe, C. E., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/188706 · Cited by 38 · see citing works
Dessel, J. V., Sonuga-Barke, E. J. S., Moerkerke, M., der Oord, S. V., Lemiere, J., Morsink, S., & Danckaerts, M. (2019) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2019.1585946 · Cited by 34 · see citing works
The disengaging brain: Dynamic transitions from cognitive engagement and alcoholism risk
Amico, E., Džemidžić, M., Oberlin, B. G., Carron, C. R., Harezlak, J., Goñi, J., & Kareken, D. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116515 · Cited by 30 · see citing works
Picon, F. A., Sato, J. R., Anés, M., Vedolin, L., Mazzola, A. A., Valentini, B. B., Cupertino, R. B., Karam, R. G., Victor, M. M., Breda, V., et al. (2018) · Journal of Attention Disorders · doi:10.1177/1087054718816822 · Cited by 33 · see citing works
Dajani, D. R., Burrows, C. A., Odriozola, P., Baez, A., Nebel, M. B., Mostofsky, S. H., & Uddin, L. Q. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101678 · Cited by 33 · see citing works
“Specifically, studies of individuals with ADHD report reduced segregation of DMN-FPN networks in children, adolescents, and adults (Kessler et al., 2014; Sudre et al., 2017), but results from within-network connectivity studies are less coherent.”
Hilger, K., & Fiebach, C. J. (2019) · Network Neuroscience · doi:10.1162/netn_a_00083 · Cited by 31 · see citing works
Zhang, R., Murray, S. B., Duval, C. J., Wang, D. J. J., & Jann, K. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.115794 · Cited by 32 · see citing works
Sripada, C., Gard, A. M., Angstadt, M., Taxali, A., Greathouse, T., McCurry, K. L., Hyde, L. W., Weigard, A. S., Walczyk, P., & Heitzeg, M. M. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101164 · Cited by 31 · see citing works
Self-citationKyeong, S.-H., Kim, J., & Kim, E. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182603 · Cited by 30 · see citing works
Mapping common grey matter volume deviation across child and adolescent psychiatric disorders
Li, T., Wang, L., Camilleri, J. A., Chen, X., Li, S., Stewart, J. L., Jiang, Y., Eickhoff, S. B., & Feng, C. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.05.015 · Cited by 30 · see citing works
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 28 · see citing works
Nikolaidis, A., He, X., Pekar, J., Rosch, K., & Mostofsky, S. H. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101101 · Cited by 28 · see citing works
Functional brain connectomes reflect acute and chronic cannabis use
Ramaekers, J. G., Mason, N. L., Toennes, S. W., Theunissen, E. L., & Amico, E. (2022) · Scientific Reports · doi:10.1038/s41598-022-06509-9 · Cited by 27 · see citing works
Soman, S. M., Vijayakumar, N., Thomson, P., Ball, G., Hyde, C. E., & Silk, T. J. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02546-8 · Cited by 28 · see citing works
Pretus, C., Vidal, L. M., Martínez‐Garcia, M., Picado, M., Ramos‐Quiroga, J. A., Vanesa Richarte, B., Castellanos, F. X., Sepulcre, J., Desco, M., Vilarroya, Ó., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24727 · Cited by 24 · see citing works
Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder
Bu, X., Liang, K., Lin, Q., Gao, Y., Qian, A., Chen, H., Chen, W., Wang, M., Yang, C., & Huang, X. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa113 · Cited by 25 · see citing works
Zhao, X., Rangaprakash, D., Yuan, B., Denney, T. S., Katz, J. S., Dretsch, M. N., & Deshpande, G. (2018) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2018.00025 · Cited by 28 · see citing works
Dell’Italia, J., Johnson, M. A., Vespa, P. M., & Monti, M. M. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00439 · Cited by 24 · see citing works
Bridgeford, E., Wang, S., Yang, Z., Wang, Z., Xu, T., Craddock, C., Dey, J. K., Kiar, G., Gray-Roncal, W., Colantuoni, C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/802629 · Cited by 22 · see citing works
Ocular findings in patients with attention deficit and hyperactivity
ULUCAN, P. B., Ceylan, O. M., Dönmez, Y. E., & Özcan, Ö. (2020) · International Ophthalmology · doi:10.1007/s10792-020-01497-z · Cited by 20 · see citing works
Simeon, G., Piella, G., Cámara, Ó., & Pareto, D. (2022) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2022.769274 · Cited by 19 · see citing works
Alterations in Structural and Functional Connectivity in ADHD: Implications for Theories of ADHD
González-Madruga, K., Staginnus, M., & Fairchild, G. F. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_345 · Cited by 18 · see citing works
Cherkasova, M., Faridi, N., Casey, K., Larcher, K., O'Driscoll, G., Hechtman, L., Joober, R., Baker, G., Palmer, J., Evans, A. C., et al. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00421 · Cited by 16 · see citing works
Zepf, F. D., Bubenzer‐Busch, S., Runions, K., Rao, P., Wong, J. W. Y., Mahfouda, S., Morandini, H. A. E., Stewart, R. M., Moore, J. K., Biskup, C. S., et al. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.10.005 · Cited by 20 · see citing works
Norman, L. J., Sudre, G., Bouyssi-Kobar, M., Sharp, W., & Shaw, P. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-00958-y · Cited by 21 · see citing works
Normative model detects abnormal functional connectivity in psychiatric disorders
Oliveira-Saraiva, D., & Ferreira, H. A. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1068397 · Cited by 18 · see citing works
Qian, A., Tao, J., Wang, X., Liu, H., Ji, L.-X., Yang, C., Ye, Q., Chen, C., Li, J., Cheng, J., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00279 · Cited by 13 · see citing works
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
Yoder, J., Chen, L., Pao, H., Bridgeford, E., Levin, K., Fishkind, D. E., Priebe, C. E., & Lyzinski, V. (2020) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2020.106916 · Cited by 14 · see citing works
Chai, Y., Chimelis-Santiago, J. R., Bixler, K., Aalsma, M. C., Yu, M., & Hulvershorn, L. A. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102789 · Cited by 12 · see citing works
ADHD and its neurocognitive substrates: A two sample Mendelian randomization study
Ahn, K., Norman, L. J., Justice, C. M., & Shaw, P. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02139-x · Cited by 11 · see citing works
Cognitive Control in Attention Deficit Hyperactivity Disorder
de Zeeuw, P., & Durston, S. (2017) · Wiley eBooks · doi:10.1002/9781118920497.ch33 · Cited by 12 · see citing works
Hu, R., Tan, F., Chen, W., Wu, Y., Jiang, Y., Du, W., Zuo, Y., Gao, B., Song, Q., & Miao, Y. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1237113 · Cited by 11 · see citing works
Network Abnormalities in Ischemic Stroke: A Meta-analysis of Resting-State Functional Connectivity
Zhang, Z. (2025) · Brain Topography · doi:10.1007/s10548-024-01096-6 · Cited by 9 · see citing works
Poirier, G. L., Huang, W., Tam, K., DiFranza, J. R., & King, J. A. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1301-2 · Cited by 10 · see citing works
Predicting adult Attention Deficit Hyperactivity Disorder (ADHD) using vocal acoustic featuresPreprint
von Polier, G. G., Ahlers, E., Amunts, J., Langner, J., Patil, K. R., Eickhoff, S. B., Helmhold, F., & Langner, D. (2021) · medRxiv · doi:10.1101/2021.03.18.21253108 · Cited by 10 · see citing works
Tsai, C., Lin, H., & Gau, S. S. (2024) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-024-01787-y · Cited by 8 · see citing works
Hakimdavoodi, H., & Amirmazlaghani, M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab965b · Cited by 7 · see citing works
Zhao, Y., Nebel, M. B., Caffo, B. S., Mostofsky, S. H., & Rosch, K. S. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.06.003 · Cited by 6 · see citing works
Wang, Y., Li, Z., Wang, Y., Wang, X., Zheng, J., Duan, X., & Chen, H. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1506.08301 · Cited by 9 · see citing works
Sripada, C., Angstadt, M., Rutherford, S., Kessler, D. A., Kim, Y., Yee, M., & Levina, L. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/326082 · Cited by 4 · see citing works
Self-citationClosed-loop stimulation modulates attention shifting in children
Warsi, N. M., Wong, S. M., Mithani, K., Coleman, S. C., Arski, O. N., Suresh, H., Germann, J., Boutet, A., Erdman, L., Gouveia, F. V., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02294-0 · Cited by 4 · see citing works
Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example
Zhang, H., Zeng, W.-M., Deng, J., Shi, Y.-H., Zhao, L., & Li, Y. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.771947 · Cited by 3 · see citing works
Cao, C., Li, X., Wang, M., Chen, X., & Gao, X. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3569090 · Cited by 4 · see citing works
Kasturiratna, K. T. A. S., Hartanto, A., Lee, A. K., Koh, C. J., & Majeed, N. M. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100703 · Cited by 3 · see citing works
Marcos-Vidal, L., Martínez-García, M., Blas, D. M.-D., Navas-Sánchez, F. J., Pretus, C., Ramos-Quiroga, J., Richarte, V., Vilarroya, Ó., Sepulcre, J., Desco, M., et al. (2022) · Journal of Attention Disorders · doi:10.1177/10870547211031998 · Cited by 1 · see citing works
Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHDPreprint
Zhang, R., Murray, S. B., Duval, C. J., Wang, D. J. J., & Jann, K. (2023) · medRxiv · doi:10.1101/2023.08.17.23294136 · Cited by 3 · see citing works
Gao, Y., Zhou, Z., Bao, W., Chen, Y., Hu, X., Li, H., Zhang, L., Gong, Q., & Huang, X. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00512-5 · Cited by 5 · see citing works
Marcos-Vidal, L., Martínez-García, M., de Blas, D. M., Navas-Sánchez, F. J., Pretus, C., Ramos-Quiroga, J., Richarte, V., Vilarroya, Ó., Sepulcre, J., Desco, M., et al. (2022) · Journal of Attention Disorders · doi:10.1177/10870547221101646 · Cited by 2 · see citing works
The Significance of a Higher Prevalence of ADHD and ADHD Symptoms in Children Who Stutter
Walsh, B. M., Tichenor, S. E., & Gerwin, K. L. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00668 · Cited by 1 · see citing works
A comprehensive overview of the biological foundations of ADHD
Folego-Temoteo, I., Lima, Y. C., Grevet, E. H., Vidor, M. V., Tavares, M. E., da Silva, B. S., Bau, C. H. D., & Rovaris, D. L. (2026) · Bioscience Reports · doi:10.1042/bsr20254061 · Cited by 1 · see citing works
Salavert, J. (2015) · TDX (Tesis Doctorals en Xarxa) · Cited by 1 · see citing works
Brain Magnetic Resonance Imaging in Attention-Deficit/Hyperactivity Disorder (ADHD)
Fayed, N. M., Morales, H., Torres, C., Fayed, A., & Rios, L. F. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-61721-9_44 · Cited by 1 · see citing works
Impaired segregation of the attention deficit hyperactivity disorder related pattern in children
Wang, X.-K., Yang, C., Dong, W., Zhang, Q., Ma, S., Zang, Y., & Yuan, L. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.12.018 · Cited by 1 · see citing works
Regional Dysregulation and Aberrant Functional Connectivity in ADHD
Archer, T., & Abedini, Y. (2017) · Journal of Neuroscience and Neuropsychology · doi:10.18875/2577-7890.1.101
Spatial patterns in functional brain connectomes reflect acute and chronic cannabis usePreprint
Ramaekers, J. G., Mason, N. L., Toennes, S. W., Theunissen, E. L., & Amico, E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.08.434333
Shi, S., Xu, Y., Ding, T., Liu, S., Liu, Z., & Guo, X. S. (2026) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-026-03122-3
- Authors
- Kessler, D., Angstadt, M., Welsh, R. C., & Sripada, C.
- Affiliations
- University of Michigan (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-12-10
- Volume
- 34
- Issue
- 50
- Pages
- 16555-16566
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4261086
- OpenAlex
- W2147561496
- Cited by
- 83
- References
- 78
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 2 · 2023: 5 · 2022: 7 · 2021: 11 · 2020: 6 · 2019: 9 · 2018: 9 · 2017: 11 · 2016: 9 · 2015: 6
- FWCI
- 6.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- John Templeton Foundation
- National Institutes of Health
- National Institute on Alcohol Abuse and Alcoholism (AA020297, K23AA020297)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- attention deficit hyperactivity disorder, default mode network, task-positive network, network segregation, functional connectivity, gray matter volume, white matter, dorsolateral prefrontal cortex, anterior cingulate cortex, dorsal attention network, cognitive control, joint independent component analysis, multimodal neuroimaging
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Brain, Child, Female, Humans, Male, Nerve Net, Echo-Planar Imaging, Young Adult, White Matter, Gray Matter
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