Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses
Open accessAbstract
The high comorbidity among neuropsychiatric disorders suggests a possible common neurobiological phenotype. Resting-state regional cerebral blood flow (CBF) can be measured noninvasively with magnetic resonance imaging (MRI) and abnormalities in regional CBF are present in many neuropsychiatric disorders. Regional CBF may also provide a useful biological marker across different types of psychopathology. To investigate CBF changes common across psychiatric disorders, we capitalized upon a sample of 1042 youths (ages 11-23 years) who completed cross-sectional imaging as part of the Philadelphia Neurodevelopmental Cohort. CBF at rest was quantified on a voxelwise basis using arterial spin labeled perfusion MRI at 3T. A dimensional measure of psychopathology was constructed using a bifactor model of item-level data from a psychiatric screening interview, which delineated four factors (fear, anxious-misery, psychosis and behavioral symptoms) plus a general factor: overall psychopathology. Overall psychopathology was associated with elevated perfusion in several regions including the right dorsal anterior cingulate cortex (ACC) and left rostral ACC. Furthermore, several clusters were associated with specific dimensions of psychopathology. Psychosis symptoms were related to reduced perfusion in the left frontal operculum and insula, whereas fear symptoms were associated with less perfusion in the right occipital/fusiform gyrus and left subgenual ACC. Follow-up functional connectivity analyses using resting-state functional MRI collected in the same participants revealed that overall psychopathology was associated with decreased connectivity between the dorsal ACC and bilateral caudate. Together, the results of this study demonstrate common and dissociable CBF abnormalities across neuropsychiatric disorders in youth.
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?
The p factor is associated with altered perfusion of the dorsal anterior cingulate cortex, reduced gray matter volume across the brain, and reduced brain activation in task control systems during a working memory task.
“Using cross-sectional samples of over 1000 children ages 11 to 23 years, in- vestigators found that increased p showed altered perfusion of the dorsal anterior cingulate cortex (34), reduced gray matter volume across the brain (35), and reduced brain activation in task control systems when engaged in a working memory task (36).”
From Methods and challenges for assessing heterogeneity (2020) · cites this paper as [34]
A common framework is comparisons between bifactor and correlated factor models using confirmatory factor analysis.
“A common framework is comparisons between bifactor (Figure 2A) and correlated factor models (Figure 2B) using confirmatory factor analysis (27,28,32–35,37–39).”
From Methods and challenges for assessing heterogeneity (2020) · cites this paper as [34]
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
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052 · see citing works
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
KAUFMAN, J., BIRMAHER, B., BRENT, D., RAO, U., FLYNN, C., MORECI, P., WILLIAMSON, D., & RYAN, N. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199707000-00021 · Cited by 10,148 · see citing works
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · see citing works
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works
Cognitive and emotional influences in anterior cingulate cortex
Bush, G., Luu, P., & Posner, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01483-2 · Cited by 6,259 · see citing works
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168 · see citing works
Accurate and robust brain image alignment using boundary-based registration
Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553 · see citing works
Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487 · see citing works
Etkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391 · see citing works
SUSAN—a new approach to low level image processing
Smith, S. M., & Brady, J. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007963824710 · Cited by 3,333 · see citing works
Emotional processing in anterior cingulate and medial prefrontal cortex
Etkin, A., Egner, T., & Kalisch, R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.004 · Cited by 3,059 · see citing works
Personality Development: Stability and Change
Caspi, A., Roberts, B. W., & Shiner, R. L. (2005) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.141913 · Cited by 2,699 · see citing works
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.037 · Cited by 2,227 · see citing works
Alsop, D. C., Detre, J. A., Golay, X., Günther, M., Hendrikse, J., Hernández-García, L., Lu, H., MacIntosh, B. J., Parkes, L. M., Smits, M., et al. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25197 · Cited by 2,218 · see citing works
Self-citationBartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927 · see citing works
Satterthwaite, T., Elliott, M., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M., Eickhoff, S., Hakonarson, H., Gur, R., Gur, R. E., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.052 · Cited by 1,900 · see citing works
Self-citationAngold, A., Costello, E. J., & Erkanli, A. (1999) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00424 · Cited by 1,872 · see citing works
Neurobiology of emotion perception II: implications for major psychiatric disorders
Phillips, M. L., Drevets, W. C., Rauch, S. L., & Lane, R. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00171-9 · Cited by 1,736 · see citing works
Default Mode Network Activity and Connectivity in Psychopathology
Whitfield-Gabrieli, S., & Ford, J. M. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143049 · Cited by 1,465 · see citing works
Identification of a Common Neurobiological Substrate for Mental Illness
Goodkind, M., Eickhoff, S. B., Oathes, D. J., Jiang, Y., Chang, A., Jones-Hagata, L. B., Ortega, B. N., Zaiko, Y. V., Roach, E. L., Korgaonkar, M. S., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2206 · Cited by 1,404 · see citing works
Reise, S. P., Moore, T. M., & Haviland, M. G. (2010) · Journal of Personality Assessment · doi:10.1080/00223891.2010.496477 · Cited by 1,191 · see citing works
Self-citationSatterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Self-citationToward 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 · see citing works
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.020 · Cited by 1,042 · see citing works
Self-citationCauses of conduct disorder and juvenile delinquency
Lahey, B. B., Moffitt, T. E., & Caspi, A. (2003) · Research Portal (King's College London) · Cited by 1,007 · see citing works
Production of subject-verb agreement, tense, mood, and negation in Italian agrammatic aphasia.
Valantis, F., Semenza, C., Rita, C., Marialuisa, G., Serena, D. P., Giorgio, A., Francesca, B., Anna, M., Nicola, S., & Gabriele, M. (2015) · Frontiers in Psychology · doi:10.3389/conf.fpsyg.2015.65.00011 · Cited by 872 · see citing works
Hamilton, J. P., Etkin, A., Furman, D. J., Lemus, M. G., Johnson, R. F., & Gotlib, I. H. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11071105 · Cited by 866 · see citing works
Holzinger, K. J., & Swineford, F. (1937) · Psychometrika · doi:10.1007/bf02287965 · Cited by 771 · see citing works
Bora, E., Fornito, A., Pantelis, C., & Yücel, M. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.03.049 · Cited by 763 · see citing works
Angold, A. C., Costello, E. J., & Erkanli, A. (1999) · PubMed · Cited by 723 · see citing works
Is there a general factor of prevalent psychopathology during adulthood?
Lahey, B. B., Applegate, B., Hakes, J. K., Zald, D. H., Hariri, A. R., & Rathouz, P. J. (2012) · Journal of Abnormal Psychology · doi:10.1037/a0028355 · Cited by 641 · see citing works
Glahn, D. C., Laird, A. R., Ellison-Wright, I., Thelen, S. M., Robinson, J. L., Lancaster, J. L., Bullmore, E. T., & Fox, P. T. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.03.031 · Cited by 627 · see citing works
Nakao, T., Radua, J., Rubia, K., & Mataix-Cols, D. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11020281 · Cited by 588 · see citing works
Anatomy of bipolar disorder and schizophrenia: A meta-analysis
Ellison-Wright, I., & Bullmore, E. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2009.12.022 · Cited by 565 · see citing works
An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data
Avants, B., Tustison, N. J., Wu, J., Cook, P. A., & Gee, J. C. (2011) · Neuroinformatics · doi:10.1007/s12021-011-9109-y · Cited by 559 · see citing works
Palaniyappan, L., & Liddle, P. F. (2012) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.100176 · Cited by 548 · see citing works
Perfusion functional MRI reveals cerebral blood flow pattern under psychological stress
Wang, J., Rao, H., Wetmore, G. S., Furlan, P. M., Korczykowski, M., Dinges, D. F., & Detre, J. A. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503082102 · Cited by 513 · see citing works
Self-citationNeuroimaging of the Philadelphia Neurodevelopmental Cohort
Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.064 · Cited by 504 · see citing works
Self-citationEmpirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx
Wang, Z., Aguirre, G. K., Rao, H., Wang, J., Fernández‐Seara, M. A., Childress, A. R., & Detre, J. A. (2007) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.07.003 · Cited by 479 · see citing works
Self-citationAnterior cingulate and prefrontal cortex: who's in control?
Cohen, J. D., Botvinick, M., & Carter, C. S. (2000) · Nature Neuroscience · doi:10.1038/74783 · Cited by 436 · see citing works
Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder
Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.3469 · Cited by 435 · see citing works
Radua, J., van den Heuvel, O. A., Surguladze, S., & Mataix-Cols, D. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.70 · Cited by 400 · see citing works
Voxelwise Meta-Analysis of Gray Matter Abnormalities in Bipolar Disorder
Bora, E., Fornito, A., Yücel, M., & Pantelis, C. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.01.020 · Cited by 378 · see citing works
Linked Sex Differences in Cognition and Functional Connectivity in Youth
Satterthwaite, T. D., Wolf, D. H., Roalf, D. R., Ruparel, K., Erus, G., Vandekar, S., Gennatas, E. D., Elliott, M. A., Smith, A. C. W., Hakonarson, H. H., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu036 · Cited by 377 · see citing works
Self-citationMotor Symptoms and Schizophrenia
Walther, S., & Strik, W. K. (2012) · Neuropsychobiology · doi:10.1159/000339456 · Cited by 367 · see citing works
Toward New Approaches to Psychotic Disorders: The NIMH Research Domain Criteria Project
Cuthbert, B. N., & Insel, T. R. (2010) · Schizophrenia Bulletin · doi:10.1093/schbul/sbq108 · Cited by 360 · see citing works
Satterthwaite, T. D., Connolly, J. J., Ruparel, K., Calkins, M. E., Jackson, C., Elliott, M. A., Roalf, D. R., Hopson, R., Prabhakaran, K., Behr, M., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.056 · Cited by 335 · see citing works
Self-citationPiek, J., & Dyck, M. (2004) · Human Movement Science · doi:10.1016/j.humov.2004.08.019 · Cited by 321 · see citing works
Neural circuits in anxiety and stress disorders: a focused review
Liberzon, I., Duval, E. R., & Javanbakht, A. (2015) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s48528 · Cited by 262 · see citing works
Hein, T. C., & Monk, C. S. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12651 · Cited by 257 · see citing works
Evaluation of volume-based and surface-based brain image registration methods
Klein, A., Ghosh, S. S., Avants, B., Yeo, B. T. T., Fischl, B., Ardekani, B., Gee, J. C., Mann, J. J., & Parsey, R. V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.091 · Cited by 255 · see citing works
Rotge, J.-Y., Guehl, D., Dilharreguy, B., Cuny, E., Tignol, J., Bioulac, B., Allard, M., Burbaud, P., & Aouizerate, B. (2008) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0838 · Cited by 254 · see citing works
Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.045 · Cited by 253 · see citing works
Self-citationThe Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative
Calkins, M. E., Merikangas, K. R., Moore, T. M., Burstein, M., Behr, M. A., Satterthwaite, T. D., Ruparel, K., Wolf, D. H., Roalf, D. R., Mentch, F. D., et al. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12416 · Cited by 245 · see citing works
Self-citationImpact of puberty on the evolution of cerebral perfusion during adolescence
Satterthwaite, T., Shinohara, R., Wolf, D., Hopson, R., Elliott, M., Vandekar, S., Ruparel, K., Calkins, M., Roalf, D., Gennatas, E. D., et al. (2014) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1400178111 · Cited by 244 · see citing works
Self-citationCubillo, A., Halari, R., Ecker, C., Giampietro, V., Taylor, E., & Rubia, K. (2010) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2009.11.016 · Cited by 236 · see citing works
Arterial spin-labeled perfusion MRI in basic and clinical neuroscience
Detre, J. A., Wang, J., Wang, Z., & Rao, H. (2009) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32832d9505 · Cited by 236 · see citing works
Self-citationShanmugan, S., Wolf, D. H., Calkins, M. E., Moore, T. M., Ruparel, K., Hopson, R. D., Vandekar, S. N., Roalf, D. R., Elliott, M. A., Jackson, C., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15060725 · Cited by 219 · see citing works
Self-citationFrontostriatal functional connectivity in major depressive disorder
Furman, D. J., Hamilton, J. P., & Gotlib, I. H. (2011) · Biology of Mood & Anxiety Disorders · doi:10.1186/2045-5380-1-11 · Cited by 208 · see citing works
Dimensional psychiatry: reward dysfunction and depressive mood across psychiatric disorders
Hägele, C., Schlagenhauf, F., Rapp, M. A., Sterzer, P., Beck, A., Bermpohl, F., Stoy, M., Ströhle, A., Wïttchen, H., Dolan, R. J., et al. (2014) · Psychopharmacology · doi:10.1007/s00213-014-3662-7 · Cited by 191 · see citing works
Davey, C. G., Harrison, B. J., Yücel, M., & Allen, N. B. (2012) · Psychological Medicine · doi:10.1017/s0033291712000323 · Cited by 176 · see citing works
Wolf, R. C., Plichta, M. M., Sambataro, F., Fallgatter, A. J., Jacob, C., Lesch, K., Herrmann, M. J., Schönfeldt‐Lecuona, C., Connemann, B. J., Grön, G., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20665 · Cited by 170 · see citing works
Developmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder
Fitzgerald, K. D., Welsh, R. C., Stern, E. R., Angstadt, M., Hanna, G. L., Abelson, J. L., & Taylor, S. F. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.06.011 · Cited by 165 · see citing works
Sharma, A. K., Wolf, D. H., Ćirić, R., Kable, J. W., Moore, T. M., Vandekar, S., Katchmar, N., Daldal, A., Ruparel, K., Davatzikos, C. A., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16070774 · Cited by 159 · see citing works
Self-citationSchuff, N. W., Zhang, Y., Wang, Z., Lenoci, M., Ching, C. R. K., Boreta, L. C., Mueller, S. G., Wang, Z., Marmar, C. R., Weiner, M. W., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.024 · Cited by 155 · see citing works
Arrondo, G., Segarra, N., Metastasio, A., Ziauddeen, H., Spencer, J., Reinders, N. R., Dudas, R. B., Robbins, T. W., Fletcher, P. C., & Murray, G. K. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01280 · Cited by 130 · see citing works
Premotor functional connectivity predicts impulsivity in juvenile offenders
Shannon, B. J., Raichle, M. E., Snyder, A. Z., Fair, D. A., Mills, K. L., Zhang, D., Bache, K., Calhoun, V. D., Nigg, J. T., Nagel, B. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108241108 · Cited by 128 · see citing works
Tu, P., Hsieh, J., Li, C., Bai, Y.-M., & Su, T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.086 · Cited by 126 · see citing works
Jain, V., Duda, J., Avants, B., Giannetta, M., Xie, S. X., Roberts, T. P. L., Detre, J. A., Hurt, H., Wehrli, F. W., & Wang, D. J. J. (2012) · Radiology · doi:10.1148/radiol.12111509 · Cited by 100 · see citing works
Self-citationElevated Amygdala Perfusion Mediates Developmental Sex Differences in Trait Anxiety
Kaczkurkin, A. N., Moore, T. M., Ruparel, K., Ćirić, R., Calkins, M. E., Shinohara, R. T., Elliott, M. A., Hopson, R. D., Roalf, D. R., Vandekar, S., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.04.021 · Cited by 96 · see citing works
Self-citationAltered cerebral blood flow patterns associated with pathologic worry in the elderly
Andreescu, C., Gross, J. J., Lenze, E., Edelman, K. D., Snyder, S., Tanase, C., & Aizenstein, H. (2011) · Depression and Anxiety · doi:10.1002/da.20799 · Cited by 81 · see citing works
In vivo venous blood T1 measurement using inversion recovery true‐FISP in children and adults
Wu, W., Jain, V., Li, C., Giannetta, M., Hurt, H., Wehrli, F. W., & Wang, D. J. J. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22484 · Cited by 73 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [2]Flamez B Sheperis C Diagnosing and treating children and adolescents: A guide for mental health professionals New Jersey John Wiley and Son’s 2016
- [35]Smith SM Brady JM SUSANa new approach to low level image processing International Journal of Computer Vision 1997 23 45 78
Cited by
Sorted by citations
All for One and One for All: Mental Disorders in One Dimension
Caspi, A., & Moffitt, T. E. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17121383 · Cited by 918 · see citing works
Kotov, R., Krueger, R. F., Watson, D., Cicero, D. C., Conway, C. C., DeYoung, C. G., Eaton, N. R., Forbes, M. K., Hallquist, M. N., Latzman, R. D., et al. (2021) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-081219-093304 · Cited by 596 · see citing works
A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research
Conway, C. C., Forbes, M. K., Forbush, K. T., Fried, E. I., Hallquist, M. N., Kotov, R., Mullins-Sweatt, S. N., Shackman, A. J., Skodol, A. E., South, S. C., et al. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691618810696 · Cited by 426 · see citing works
Linked dimensions of psychopathology and connectivity in functional brain networks
Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., García de la Garza, A., Vandekar, S. N., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05317-y · Cited by 437 · see citing works
Self-citationMcTeague, L. M., Rosenberg, B. M., Lopez, J. W., Carreon, D. M., Huemer, J., Jiang, Y., Chick, C. F., Eickhoff, S. B., & Etkin, A. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18111271 · Cited by 388 · see citing works
Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology
Kebets, V., Holmes, A. J., Orbán, C., Tang, S., Li, J., Sun, N., Kong, R., Poldrack, R. A., & Yeo, B. T. T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.06.013 · Cited by 269 · see citing works
Lynch, S. J., Sunderland, M., Newton, N. C., & Chapman, C. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102036 · Cited by 201 · see citing works
Hierarchical models of psychopathology: empirical support, implications, and remaining issues
Lahey, B. B., Moore, T. M., Kaczkurkin, A. N., & Zald, D. H. (2021) · World Psychiatry · doi:10.1002/wps.20824 · Cited by 188 · see citing works
Self-citationEvidence for dissociable linkage of dimensions of psychopathology to brain structure in youths
Kaczkurkin, A. N., Park, S. S., Sotiras, A., Moore, T. M., Calkins, M. E., Cieslak, M., Rosen, A. F. G., Ciric, R., Xia, C. H., Cui, Z., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18070835 · Cited by 110 · see citing works
Self-citationMoberget, T., Alnæs, D., Kaufmann, T., Doan, N. T., Córdova-Palomera, A., Norbom, L., Rokicki, J., van der Meer, D., Andreassen, O., & Westlye, L. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.01.019 · Cited by 99 · see citing works
Culture and psychopathology: An attempt at reconsidering the role of social learning
Fonagy, P., Campbell, C., Constantinou, M., Higgitt, A., Allison, E., & Luyten, P. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000092 · Cited by 109 · see citing works
Methods and challenges for assessing heterogeneity
Feczko, E., & Fair, D. A. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.015 · Cited by 96 · see citing works
Personalized Transcranial Magnetic Stimulation in Psychiatry
Cocchi, L., & Zalesky, A. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.01.008 · Cited by 89 · see citing works
The Amygdala and Depression: A Sober Reconsideration
Grogans, S. E., Fox, A. S., & Shackman, A. J. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20220412 · Cited by 82 · see citing works
Building Theories on Top of, and Not Independent of, Statistical Models: The Case of the p-factor
Watts, A. L., Lane, S. P., Bonifay, W. E., Steinley, D., & Meyer, F. A. C. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1853476 · Cited by 82 · see citing works
Latzman, R. D., & DeYoung, C. G. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0639-6 · Cited by 74 · see citing works
A critical evaluation of the p-factor literature
Watts, A. L., Greene, A. L., Bonifay, W. E., & Fried, E. I. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00260-2 · Cited by 86 · see citing works
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 64 · see citing works
Self-citationThe P-factor and its genomic and neural equivalents: an integrated perspective
Sprooten, E., Franke, B., & Greven, C. U. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01031-2 · Cited by 63 · see citing works
Transdiagnostic neuroimaging markers of psychiatric risk: A narrative review
Vanes, L. D., & Dolan, R. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2021.102634 · Cited by 61 · see citing works
Cui, Z., Pines, A. R., Larsen, B., Sydnor, V. J., Li, H., Adebimpe, A., Alexander‐Bloch, A. F., Bassett, D. S., Bertolero, M. A., Calkins, M. E., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.05.014 · Cited by 55 · see citing works
Self-citationNeurostructural Heterogeneity in Youth with Internalizing Symptoms
Kaczkurkin, A., Sotiras, A., Baller, E. B., Barzilay, R., Calkins, M., Chand, G., Cui, Z., Erus, G., Fan, Y., Gur, R., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.09.005 · Cited by 50 · see citing works
Self-citationAdebimpe, A., Bertolero, M., Dolui, S., Cieslak, M., Murtha, K., Baller, E. B., Boeve, B., Boxer, A., Butler, E. R., Cook, P. A., et al. (2022) · Nature Methods · doi:10.1038/s41592-022-01458-7 · Cited by 43 · see citing works
Self-citationLin, H., Cocchi, L., Zalesky, A., Lv, J., Perry, A., Tseng, W. I., Kundu, P., Breakspear, M. J., & Gau, S. S. (2018) · Psychological Medicine · doi:10.1017/s0033291718000028 · Cited by 46 · see citing works
Brain-Predicted Age Associates With Psychopathology Dimensions in Youths
Cropley, V., Tian, Y., Fernando, K. B., Sina Mansour, L., Pantelis, C., Cocchi, L., & Zalesky, A. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.07.014 · Cited by 47 · see citing works
Perkins, E. R., Joyner, K. J., Patrick, C. J., Bartholow, B. D., Latzman, R. D., DeYoung, C. G., Kotov, R., Reininghaus, U., Cooper, S. E., Afzali, M. H., et al. (2020) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2020.22.1/eperkins · Cited by 47 · see citing works
Development of a computerized adaptive screening tool for overall psychopathology (“p”)
Moore, T. M., Calkins, M. E., Satterthwaite, T. D., Roalf, D. R., Rosen, A. F. G., Gur, R. C., & Gur, R. E. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.05.028 · Cited by 44 · see citing works
Self-citationCarlisi, C. O., & Robinson, O. J. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818774223 · Cited by 42 · see citing works
Kaczkurkin, A., Moore, T. M., Sotiras, A., Xia, C., Shinohara, R., & Satterthwaite, T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.12.015 · Cited by 43 · see citing works
Self-citationEfficient coding in the economics of human brain connectomics
Zhou, D., Lynn, C. W., Cui, Z., Ćirić, R., Baum, G. L., Moore, T. M., Roalf, D. R., Detre, J. A., Gur, R. C., Gur, R. E., et al. (2021) · Network Neuroscience · doi:10.1162/netn_a_00223 · Cited by 38 · see citing works
Self-citationStein, F., Meller, T., Brosch, K., Schmitt, S., Ringwald, K. G., Pfarr, J., Meinert, S. L., Thiel, K., Lemke, H., Waltemate, L., et al. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab037 · Cited by 40 · see citing works
Stein, F., Lemmer, G., Schmitt, S., Brosch, K., Meller, T., Fischer, E., Kraus, C. A., Lenhard, L., Köhnlein, B., Murata, H., et al. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.03.011 · Cited by 40 · see citing works
Linke, J. O., Abend, R., Kircanski, K., Clayton, M., Stavish, C. M., Benson, B. E., Brotman, M. A., Renaud, O., Smith, S. M., Nichols, T. E., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.10.018 · Cited by 37 · see citing works
Class, Q. A., Hulle, C. A. V., Rathouz, P. J., Applegate, B. E., Zald, D. H., & Lahey, B. B. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000433 · Cited by 30 · see citing works
Barber, A. D., Sarpal, D. K., John, M., Fales, C. L., Mostofsky, S. H., Malhotra, A. K., Karlsgodt, K. H., & Lencz, T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.01.024 · Cited by 29 · 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
Linking cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology
Dong, D., Guell, X., Genon, S., Wang, Y., Ji, C., Eickhoff, S. B., Yao, D., & Luo, C. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103176 · Cited by 29 · see citing works
Nadig, A., Reardon, P. K., Seidlitz, J., McDermott, C. L., Blumenthal, J. D., CLASEN, L. S., Lalonde, F. M., Lerch, J. P., Chakravarty, M. M., & Raznahan, A. (2018) · eNeuro · doi:10.1523/eneuro.0265-18.2018 · Cited by 28 · see citing works
David, F., Stein, F., Andlauer, T., Streit, F., Witt, S., Herms, S., Hoffmann, P., Heilmann-Heimbach, S., Opel, N., Repple, J., et al. (2023) · Schizophrenia Research · doi:10.1016/j.schres.2023.01.002 · Cited by 24 · see citing works
Hoy, N. W., Lynch, S. J., Waszczuk, M., Reppermund, S., & Mewton, L. (2023) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105431 · Cited by 21 · see citing works
Understanding Psychopathology: Cybernetics and Psychology on the Boundary between Order and Chaos
DeYoung, C. G., & Krueger, R. F. (2018) · Psychological Inquiry · doi:10.1080/1047840x.2018.1513690 · Cited by 27 · see citing works
Ogunbiyi, O., Hindocha, C., Freeman, T. P., & Bloomfield, M. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109900 · Cited by 23 · see citing works
Development of white matter fiber covariance networks supports executive function in youth
Bagautdinova, J., Bourque, J., Sydnor, V., Cieslak, M., Alexander-Bloch, A., Bertolero, M., Cook, P. A., Gur, R., Gur, R. C., Hu, F.-L., et al. (2023) · bioRxiv · doi:10.1016/j.celrep.2023.113487 · Cited by 15 · see citing works
Self-citationHinton, K. E., Lahey, B. B., Villalta‐Gil, V., Meyer, F. A. C., Burgess, L. L., Chodes, L. K., Applegate, B. E., Hulle, C. A. V., Landman, B. A., & Zald, D. H. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101705 · Cited by 21 · see citing works
Stomach–brain coupling indexes a dimensional signature of mental health
Banellis, L., Rebollo, I., Nikolova, N. E., & Allen, M. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00468-6 · Cited by 29 · see citing works
Harnessing networks and machine learning in neuropsychiatric care
Cornblath, E. J., Lydon‐Staley, D. M., & Bassett, D. S. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.12.010 · Cited by 20 · see citing works
Multimodal neural correlates of childhood psychopathology
Royer, J., Kebets, V., Piguet, C., Chen, J., Ooi, L. Q. R., Kirschner, M., Siffredi, V., Mišić, B., Yeo, B. T. T., & Bernhardt, B. C. (2024) · eLife · doi:10.7554/elife.87992 · Cited by 21 · see citing works
Feng, C., Huang, W., Xu, K., Stewart, J. L., Camilleri, J. A., Yang, X., Wei, P., Gu, R., Luo, W., & Eickhoff, S. B. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102189 · Cited by 18 · see citing works
Salminen, L. E., Morey, R. A., Riedel, B. C., Jahanshad, N., Dennis, E. L., & Thompson, P. M. (2019) · Journal of Neuroimaging · doi:10.1111/jon.12600 · Cited by 20 · see citing works
Hong, J.-W., Hwang, J.-O., & Lee, J.-H. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.12.037 · Cited by 17 · see citing works
Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders
Dugre, J. R., Eickhoff, S. B., & Potvin, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-08909-3 · Cited by 14 · see citing works
Transdiagnostic prevention in youth mental health, Part I: rationale, shared risk factors
Holt, D. J., Choi, K. W., DeTore, N. R., & Balogun‐Mwangi, O. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02233-w · Cited by 11 · see citing works
Network Controllability in Transmodal Cortex Predicts 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.2021.02.922 · Cited by 9 · see citing works
Self-citationA critical evaluation of the p-factor literaturePreprint
Watts, A. L., Greene, A. L., Bonifay, W. E., & Fried, E. I. (2023) · doi:10.31234/osf.io/7yrnp · Cited by 10 · see citing works
Chen, H., Lu, F., Guo, X., Pang, Y., He, C., Han, S., Duan, X., & Chen, H. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab296 · Cited by 8 · see citing works
Xu, B., Moradi, M., Kuplicki, R., Stewart, J. L., McKinney, B. A., Sen, S., & Paulus, M. P. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.503248 · Cited by 8 · see citing works
A powerful and efficient multivariate approach for voxel-level connectome-wide association studies
Gong, W., Cheng, F., Rolls, E. T., Lo, C. Z., Huang, C., Tsai, S., Yang, A. C., Lin, C., & Feng, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.032 · Cited by 8 · see citing works
Hoffmann, M., Moore, T. M., Axelrud, L., Tottenham, N., Rohde, L., Milham, M., Satterthwaite, T. D., & Salum, G. (2023) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1959 · Cited by 6 · see citing works
Self-citationTiemeier, H. W., & Muetzel, R. L. (2020) · Mental health and illness worldwide · doi:10.1007/978-981-10-2348-4_12 · Cited by 5 · see citing works
Kaminski, A., You, X., Flaharty, K. G., Jeppsen, C., Li, S., Merchant, J. S., Berl, M. M., Kenworthy, L. E., & Vaidya, C. J. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.07.003 · Cited by 6 · see citing works
Rodriguez-Thompson, A., Miller, A. B., Wade, M., Meyer, K. N., Machlin, L., Bonar, A. S., Patel, K. K., Giletta, M., Hastings, P. D., Nock, M. K., et al. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.03.012 · Cited by 6 · see citing works
Double-Dissociation Studies in Psychiatric Research: A Scoping Review
Kilçiksiz, C. M., & Öngür, D. (2019) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000233 · Cited by 4 · see citing works
Banellis, L., Nikolova, N. E., Ehmsen, J. F., Courtin, A. S., Vejlø, M., Tyrer, A., Böhme, R. A., Bavato, F., Hoogervorst, K., Fardo, F., et al. (2026) · Nature Mental Health · doi:10.1038/s44220-026-00688-4 · Cited by 3 · see citing works
Cerebral Blood Flow and Mood in Adolescents With Bipolar Disorder
Toma, S., Dimick, M. K., Grigorian, A., Fıksenbaum, L., Robertson, A. D., Kennedy, K. G., Mitchell, R. H. B., MacIntosh, B. J., & Goldstein, B. I. (2024) · JAACAP Open · doi:10.1016/j.jaacop.2024.01.011 · Cited by 3 · see citing works
MRI Insights Into Adolescent Neurocircuitry—A Vision for the Future
Tymofiyeva, O., Zhou, V. X., Lee, C. M., Xu, D., Hess, C. P., & Yang, T. T. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00237 · Cited by 3 · see citing works
Transdiagnostic neuroimaging markers of psychiatric risk: a narrative reviewPreprint
Vanes, L. D., & Dolan, R. J. (2020) · doi:10.31234/osf.io/qwjhc · Cited by 5 · see citing works
Therapeutic role of nutraceuticals in the management of brain disorders
Benmelouka, A. Y., Shah, M. A., Saleem, U., Elshanbary, A. A., Meshref, M. M., Shah, G. M., Alsharif, I., Althobaiti, N. A., & Alhasani, R. H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824356-5.00012-6 · Cited by 2 · see citing works
Translating Big Data to Clinical Outcomes in Anxiety: Potential for Multimodal Integration
Khosravi, P., Zugman, A., Amelio, P., Winkler, A. M., & Pine, D. S. (2022) · Current Psychiatry Reports · doi:10.1007/s11920-022-01385-6 · Cited by 2 · see citing works
Tiemeier, H. W., & Muetzel, R. L. (2020) · Mental health and illness worldwide · doi:10.1007/978-981-10-0753-8_12-1 · Cited by 2 · see citing works
Ciarolla, A., Bobilev, A. M., Dybowski, F., Fang, Y., Sacco, C., Palka, J. M., Aslan, S., Liu, P., Lu, H., Tamminga, C. A., et al. (2025) · Schizophrenia Research · doi:10.1016/j.schres.2025.11.003 · Cited by 1 · see citing works
Identification of common spontaneous brain activity alterations across psychiatric disorders
Guo, Z., Tang, X., Xiao, S., Chen, G., Su, T., Wang, A. Y., Chen, R., Chen, C., Yang, Z., Qi, Z., et al. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03986-8 · Cited by 1 · see citing works
Hoarding behavior and its association with mental health and functioning in a large youth sample
Linkovski, O., Moore, T. M., Argabright, S. T., Calkins, M. E., Gur, R. C., Gur, R. E., & Barzilay, R. (2023) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-023-02296-4 · Cited by 1 · see citing works
Self-citationIdentifying associations in dense connectomes using structured kernel principal component regressionPreprint
Gong, W., Cheng, F., Rolls, E. T., Zhang, L., Grünewald, S., & Feng, J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/242982
Service, S. K., Upeguí, C. V., Ramírez, M. C., Port, A. M., Moore, T. M., Umanes, M. M., Arango, L. G. A., Díaz‐Zuluaga, A. M., Espejo, J. M., López, M. C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/731265
Self-citationCoussement, C., & Heeren, A. (2020) · doi:10.31234/osf.io/ynrkj
思考力・判断力・表現力を育むためのICT活用と情報活用 (特集 情報化社会における情報教育)
稲垣, 忠. (2012) · 教育展望
Coussement, C., & Heeren, A. (2020) · doi:10.31219/osf.io/m8z6w
A Preliminary Assessment of Cerebral Surface Strain
Yang, J. Y., Sia, S., & Atlas, G. M. (2023) · The Open Biomedical Engineering Journal · doi:10.2174/18741207-v17-e230925-2023-3
Hierarchical Models of Behaviour Differences
Stevenson, J. (2023) · Springer eBooks · doi:10.1007/978-3-031-45787-6_6
Huang, X., Gao, L., Xiao, J., Li, L., Shan, X., Chen, H., Chai, X. J., & Duan, X. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.03.003
Deng, Q., Levitis, E., Adams, R. A., & Altmann, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.29.626043
Hoy, N., Waszczuk, M. A., Sunderland, M., Lynch, S. J., Sachdev, P. S., Brodaty, H., Reppermund, S., & Mewton, L. R. (2025) · Psychological Medicine · doi:10.1017/s0033291724003490
Banellis, L., Nikolova, N. E., Ehmsen, J. F., Courtin, A. S., Vejlø, M., Tyrer, A., Böhme, R. A., Bavato, F., Hoogervorst, K., Fardo, F., et al. (2025) · medRxiv · doi:10.1101/2025.08.25.25334366
Gell, M., Hoffmann, M. S., Moore, T. M., Nikolaidis, A., Gur, R. C., Salum, G. A., Milham, M. P., Langner, R., Müller, V. I., Eickhoff, S. B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.21.695029
Self-citationNeurobehavioral changes in fear generalization in clinical high risk for psychosis
Clauss, J. A., Babadi, B., Tuominen, L. J., Deng, W., Leathem, L. D., & Holt, D. J. (2026) · Translational Psychiatry · doi:10.64898/2026.01.14.26344102
Mazereel, V., Jennen, L., Vancampfort, D., Qiao, Z., Vansteelandt, K., Dupont, P., Lecei, A., & van Winkel, R. (2026) · Neuroimage Reports · doi:10.1016/j.ynirp.2026.100419
- Authors
- Kaczkurkin, A. N., Moore, T. M., Calkins, M. E., Ciric, R., Detre, J. A., Elliott, M. A., Foa, E. B., Garcia de la Garza, A., Roalf, D. R., Rosen, A., Ruparel, K., Shinohara, R. T., Xia, C. H., Wolf, D. H., Gur, R. E., Gur, R. C., & Satterthwaite, T. D.
- Affiliations
- University of Pennsylvania (US)
- Philadelphia VA Medical Center (US)
- Corresponding author
- Satterthwaite, T D
- ORCID
- Venue
- Molecular Psychiatry
- Published
- 2017-09-19
- Volume
- 23
- Issue
- 10
- Pages
- 1981-1989
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- PMC
- PMC5858960
- OpenAlex
- W2755945667
- Cited by
- 86
- References
- 75
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 4 · 2023: 10 · 2022: 10 · 2021: 11 · 2020: 17 · 2019: 14 · 2018: 9 · 2012: 1
- FWCI
- 6.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Molecular Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Pennsylvania
- National Institutes of Health
- National Institute of Mental Health (RC2MH089983, P50MH096891, R01MH112070, R01MH101111, K01MH102609, RC2MH089924, R01MH107703, K08MH079364)
- National Institute of Neurological Disorders and Stroke (R01NS085211)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015893)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K12HD085848)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- regional cerebral blood flow, psychopathology dimensions, psychiatric comorbidity, dimensional psychiatry, bifactor model, psychotic symptoms, behavioral symptoms, dorsal anterior cingulate cortex, subgenual anterior cingulate cortex, caudate nucleus, functional connectivity, arterial spin labeling, Philadelphia Neurodevelopmental Cohort, youth, neuroimaging biomarkers
- MeSH terms
- Adolescent, Mental Disorders, Brain, Brain Mapping, Cerebral Cortex, Cerebrovascular Circulation, Child, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Psychopathology, Philadelphia, Biomarkers, Young Adult
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