The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Sex differences in the structural connectome of the human brain
Open accessAbstract
Significance: Sex differences are of high scientific and societal interest because of their prominence in behavior of humans and nonhuman species. This work is highly significant because it studies a very large population of 949 youths (8–22 y, 428 males and 521 females) using the diffusion-based structural connectome of the brain, identifying novel sex differences. The results establish that male brains are optimized for intrahemispheric and female brains for interhemispheric communication. The developmental trajectories of males and females separate at a young age, demonstrating wide differences during adolescence and adulthood. The observations suggest that male brains are structured to facilitate connectivity between perception and coordinated action, whereas female brains are designed to facilitate communication between analytical and intuitive processing modes.
Overview
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
Verification
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The number of streamlines (NOS) is one widely used measure to quantify the connectivity strength (Hagmann et al., 2008b; Ingalhalikar et al., 2014; Roberts et al., 2016; Sporns et al., 2005; van Dellen et al., 2018).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Ingalhalikar et al., 2014
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The most popular scalar value for connectivity matrix analysis is the NOS (Hagmann et al., 2008b; Ingalhalikar et al., 2014; Roberts et al., 2016; Sporns et al., 2005; van Dellen et al., 2018), where higher values are considered to indicate stronger connectivity between pairs of gray matter regions.”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Ingalhalikar et al., 2014
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In a study of 37 young adults with CAH, alterations in grey matter structure, including the middle frontal gyrus and the parietal and superior occipital cortex were found in CAH patients compared to controls (696).”
From Congenital Adrenal Hyperplasia—Current Insights in Pathophysiology, Diagnostics, and Management (2022) · cites this paper as [696]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“These regions play a role in visuospatial working memory and patients performed worse in visuospatial working memory tasks.”
From Congenital Adrenal Hyperplasia—Current Insights in Pathophysiology, Diagnostics, and Management (2022) · cites this paper as [696]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 999
Aging amplifies sex differences in low alpha and low beta EEG oscillations
Han, C., Cheung, V. C. K., & Chan, R. H. M. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121231 · Cited by 21
Rapid Acceleration of the Permutation Test via Transpositions
Chung, M. K., Xie, L., Huang, S.-G., Wang, Y., Yan, J., & Shen, L. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32391-2_5 · Cited by 20
Stabilization Beyond Mood: Stabilizing Patients With Bipolar Disorder in the Various Phases of Life
Simonetti, A., Koukopoulos, A. E., Kotzalidis, G. D., Janiri, D., Chiara, L. D., Janiri, L., & Sani, G. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00247 · Cited by 24
Structural connectome differences in pediatric mild traumatic brain and orthopedic injury
Ware, A. L., Yeates, K. O., Geeraert, B., Long, X., Beauchamp, M. H., Craig, W. R., Doan, Q. H., Freedman, S. B., Goodyear, B. G., Zemek, R. L., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25705 · Cited by 20
Rechtman, E., Navarro, E., de Water, E., Tang, C. Y., Curtin, P. C. P., Papazaharias, D. M., Ambrosi, C., Mascaro, L., Cagna, G., Gasparotti, R., et al. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2022.03.016 · Cited by 20
The effects of puberty and sex on adolescent white matter development: A systematic review
Piekarski, D. J., Colich, N. L., & Ho, T. C. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101214 · Cited by 25
Gender differences in dynamic functional connectivity based on resting-state fMRI
Mao, N., Zheng, H., Long, Z., Li, Y., & Wu, X. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037473 · Cited by 21
Donishi, T., Terada, M., & Kaneoke, Y. (2017) · Brain and Behavior · doi:10.1002/brb3.890 · Cited by 19
Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity
Luo, Z., Hou, C., Wang, L., & Hu, D. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00029 · Cited by 19
Sex Differences in Brain and Behavioral Development
Beltz, A. M., Blakemore, J. E., & Berenbaum, S. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00064-9 · Cited by 21
Autism spectrum traits in normal individuals: a preliminary VBM analysis
Focquaert, F., & Vanneste, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00264 · Cited by 19
Zhang, L., Xu, J., Gao, J., Chen, P., Yin, M., & Zhao, W. (2019) · Immunity & Ageing · doi:10.1186/s12979-018-0142-7 · Cited by 20
The Genetic Architecture of Neurodevelopmental Disorders
Mitchell, K. J. (2015) · Wiley eBooks · doi:10.1002/9781118524947.ch1 · Cited by 20
Casamitjana, A., Mancini, M., Robinson, E., Peter, L., Annunziata, R., Althonayan, J. I. M., Crampsie, S., Blackburn, E., Billot, B., Atzeni, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.05.579016 · Cited by 20
Evolution of Human Sex-Specific Cognitive Vulnerabilities
Geary, D. C. (2017) · The Quarterly Review of Biology · doi:10.1086/694934 · Cited by 19
Pletzer, B. A., & Harris, T. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0504 · Cited by 19
Time-of-day effects on objective and subjective short-term memory task performance
Ceglarek, A., Hubalewska‐Mazgaj, M., Lewandowska, K., Sikora-Wachowicz, B., Marek, T., & Fąfrowicz, M. (2021) · Chronobiology International · doi:10.1080/07420528.2021.1929279 · Cited by 18
Kim, G., Joo, Y. Y., Ahn, G., Wang, H., Moon, S., Kim, H., Ahn, W., & Cha, J. (2022) · Human Brain Mapping · doi:10.1002/hbm.25888 · Cited by 18
Prenatal Sex Hormone Exposure Is Associated with the Development of Autism Spectrum Disorder
Li, M., Usui, N., & Shimada, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032203 · Cited by 24
Shi, Y., Mao, H., Miao, W., Deng, J., Gao, Q., Zeng, S., Ma, L., Han, Y., Ji, W., Li, Y., et al. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad184 · Cited by 19
Mellado, R., Cubillos, C., Vicari, R. M., & Gasca‐Hurtado, G. P. (2024) · Applied Sciences · doi:10.3390/app14177933 · Cited by 31
Validation of laughter for diagnosis and evaluation of depression
Navarro, J., del Moral, R., Alonso-Sánchez, M. F., Loste, P., García‐Campayo, J., Lahoz-Beltrá, R., & Marijuán, P. C. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.02.035 · Cited by 19
Gender issues in antiepileptogenic treatments
Pitkänen, A., Huusko, N., Ndode‐Ekane, X. E., Kyyriäinen, J., Lipponen, A., Lipsanen, A., Sierra, A., & Bolkvadze, T. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.05.037 · Cited by 19
Ghanbari, Y., Smith, A. R., Schultz, R. T., & Verma, R. (2014) · Medical Image Analysis · doi:10.1016/j.media.2014.06.006 · Cited by 19
Self-citationHurtubise, J. M., Gorbet, D. J., Hynes, L. M., Macpherson, A., & Sergio, L. E. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2019.6765 · Cited by 20
Beyond sex differences and a male–female continuum: Mosaic brains in a multidimensional space
Joel, D. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64123-6.00002-3 · Cited by 19
Gender differences in parieto‐frontal brain functional connectivity correlates of creativity
Silberstein, R. B., Camfield, D., Nield, G., & Stough, C. K. K. (2019) · Brain and Behavior · doi:10.1002/brb3.1196 · Cited by 19
Ebbesen, C. L., Bobrov, E., Rao, R. P., & Brecht, M. (2019) · Nature Communications · doi:10.1038/s41467-019-12511-z · Cited by 17
Zoubi, O. A., Misaki, M., Tsuchiyagaito, A., Zotev, V. S., White, E. J., Paulus, M. P., & Bodurka, J. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0878 · Cited by 19
Neuroimaging brain growth charts: A road to mental health
Chen, L.-Z., Holmes, A. J., Zuo, X., & Dong, Q. (2021) · Psychoradiology · doi:10.1093/psyrad/kkab022 · Cited by 18
Sex differences in brain and behavioral development
Beltz, A. M., Kelly, D. P., & Berenbaum, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814411-4.00027-5 · Cited by 21
Sex/Gender Differences in Brain Lateralisation and Connectivity
Hodgetts, S., & Hausmann, M. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_303 · Cited by 17
Mori, K., & Haruno, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.25822 · Cited by 16
Refining Research and Representation of Sexual and Gender Diversity in Neuroscience
Edmiston, E. K., & Juster, R. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.07.007 · Cited by 18
Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI
Mahmood, U., Fu, Z., Ghosh, S., Calhoun, V. D., & Plis, S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119737 · Cited by 20
A Whole-Brain Investigation of White Matter Microstructure in Adolescents with Conduct Disorder
Sarkar, S., Dell’Acqua, F., Froudist‐Walsh, S., Blackwood, N., Scott, S., Craig, M., Deeley, Q., & Murphy, D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155475 · Cited by 20
Hemispheric asymmetry of liking for representational and abstract paintings
Nadal, M., Schiavi, S., & Cattaneo, Z. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1390-9 · Cited by 18
Hippocampal-Temporopolar Connectivity Contributes to Episodic Simulation During Social Cognition
Pehrs, C., Zaki, J., Taruffi, L., Kuchinke, L., & Koelsch, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-24557-y · Cited by 21
Role-Specific Brain Activations in Leaders and Followers During Joint Action
Chauvigné, L. A. S., & Brown, S. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00401 · Cited by 18
Sinclair, D., Cesare, J., McMullen, M. F., Carlson, G. C., Hahn, C.-G., & Borgmann‐Winter, K. E. (2016) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-016-9148-7 · Cited by 18
Borges, G. D. R., Domingues, M. J. C. D. S., & Cordeiro, R. D. C. D. S. (2016) · International Review on Public and Nonprofit Marketing · doi:10.1007/s12208-016-0156-9 · Cited by 18
On the Effect of Sex on Prefrontal and Cerebellar Neurometabolites in Healthy Adults: An MRS Study
Endres, D., van Elst, L. T., Feige, B., Backenecker, S., Nickel, K., Bubl, A., Lange, T., Mader, I., Maier, S. J., & Perlov, E. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00367 · Cited by 18
Glicksohn, J., Berkovich‐Ohana, A., Mauro, F., & Ben‐Soussan, T. D. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.01.018 · Cited by 18
Gender differences in mental disorders
Tereszko, A., & Dudek, D. (2017) · Neuropsychiatria i Neuropsychologia · doi:10.5114/nan.2017.74145 · Cited by 17
Running the Female Power Grid Across Lifespan Through Brain Estrogen Signaling
Ingraham, H. A., Herber, C. B., & Krause, W. C. (2021) · Annual Review of Physiology · doi:10.1146/annurev-physiol-061121-035914 · Cited by 18
AARS2-Related Leukodystrophy: a Case Report and Literature Review
Zhang, X., Li, J., Zhang, Y., Gao, M., Peng, T., & Tian, T. (2022) · The Cerebellum · doi:10.1007/s12311-022-01369-5 · Cited by 17
Network controllability mediates the relationship between rigid structure and flexible dynamics
Gu, S., Fotiadis, P., Parkes, L., Xia, C. H., Gur, R. C., Gur, R. E., Roalf, D. R., Satterthwaite, T. D., & Bassett, D. S. (2021) · Network Neuroscience · doi:10.1162/netn_a_00225 · Cited by 17
Self-citationHe, H. X., Zhang, F., Pieper, S., Makris, N., Yogesh Rathi, A., Wells, W. M., & O’Donnell, L. J. (2022) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi52829.2022.9761684 · Cited by 17
Eyolfson, E., Carr, T. H., Fraunberger, E. A., Khan, A. C., Clark, I., Mychasiuk, R., & Lohman, A. W. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114172 · Cited by 20
Scheuringer, A., Harris, T., & Pletzer, B. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104814 · Cited by 14
Cieri, F., Yang, Z., Cordes, D., Caldwell, J. Z. K., & Initiative, A. D. N. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201596 · Cited by 17
Liu, Y., Song, J., Xu, W., Hou, X., Li, J., Yu, J., Tan, L., Chi, S., & Initiative, A. A. D. N. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.633576 · Cited by 16
Lindner, P., Flodin, P., Budhiraja, M., Savic, I., Jokinen, J., Tiihonen, J., & Hodgins, S. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.04.010 · Cited by 20
Asymmetric intra- and interhemispheric interactions during covert and overt sentence reading
Keller, C., & Kell, C. A. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.04.002 · Cited by 19
Sex differences in large-scale brain network connectivity for mental rotation performance
Zhang, K., Fang, H., Li, Z., Ren, T., Li, B., & Wang, C. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120807 · Cited by 17
Zhou, Y., Qiu, L., Sterpka, A., Wang, H., Feixia Chu, C., & Chen, X. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00034 · Cited by 16
Prevalence of the interthalamic adhesion in the human brain: a review of literature
Wong, A. K., Wolfson, D. I., Borghei, A., & Sani, S. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02287-8 · Cited by 16
He, J., Cabrera‐Mendoza, B., Angelis, F. D., Pathak, G. A., Koller, D., Curhan, S. G., Curhan, G. C., Mecca, A. P., van Dyck, C. H., & Polimanti, R. A. (2024) · Brain · doi:10.1093/brain/awae077 · Cited by 15
Lin, R., Chen, Y., Shen, Y., Hu, T., Huang, Y. J., Yang, Y., Yu, X., & Ding, J. (2024) · BMC Psychology · doi:10.1186/s40359-024-01622-y · Cited by 18
Analysis of longitudinal diffusion-weighted images in healthy and pathological aging: An ADNI study
Kruggel, F., Masaki, F., & Solodkin, A. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.12.020 · Cited by 16
An information theory framework for dynamic functional domain connectivity
Vergara, V. M., Miller, R. L., & Calhoun, V. D. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.04.009 · Cited by 16
Mogensen, J., & Overgaard, M. S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00625 · Cited by 16
Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts (“Lifebrain”)
Walhovd, K., Fjell, A., Westerhausen, R., Nyberg, L., Ebmeier, K. P., Lindenberger, U., Bartrés-Faz, D., Baaré, W., Siebner, H., Henson, R., et al. (2018) · European psychiatry · doi:10.1016/j.eurpsy.2017.10.005 · Cited by 14
Karatas, M., Noblet, V., Nasseef, M. T., Bienert, T., Reisert, M., Hennig, J., Yalçın, İ., Kieffer, B. L., von Elverfeldt, D., & Harsan, L. A. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02190-8 · Cited by 19
Fjældstad, A. W., Stiller-Stut, F. P., Gleesborg, C., Kringelbach, M. L., Hummel, T. R., & Fernandes, H. M. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.638053 · Cited by 18
His and her mathematical models of physiological systems
Layton, A. T. (2021) · Mathematical Biosciences · doi:10.1016/j.mbs.2021.108642 · Cited by 16
Moreno, M. B., Concha, L., González-Santos, L., Ortiz, J. J., & Barrios, F. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104549 · Cited by 16
Beyond “Cold” Cognition: Exploring Cognitive Control of Emotion as a Risk Factor for Psychosis
Tully, L. M., & Niendam, T. A. (2014) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-014-0016-z · Cited by 17
Gender differences in recognition of toy faces suggest a contribution of experience
Ryan, K. F., & Gauthier, L. (2016) · Vision Research · doi:10.1016/j.visres.2016.10.003 · Cited by 16
White matter correlates of psychopathic traits in a female community sample
Lindner, P., Budhiraja, M., Westerman, J., Savić, I., Jokinen, J., Tiihonen, J., & Hodgins, S. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx070 · Cited by 16
Structural correlates of the orbitofrontal cortex and amygdala and personality in female adolescents
Delaparte, L., Bartlett, E. A., Grazioplene, R. G., Perlman, G., Gardus, J. D., DeLorenzo, C., Klein, D. N., & Kotov, R. (2019) · Psychophysiology · doi:10.1111/psyp.13376 · Cited by 16
Henneghan, A. M., Sidey-Gibbons, C. J., Harrison, R. A., Edwards, M., Rao, V., Blayney, D. W., Palesh, O. G., & Kesler, S. R. (2019) · Brain Topography · doi:10.1007/s10548-019-00746-4 · Cited by 17
Fuensalida-Novo, S., Parás-Bravo, P., Jiménez-Antona, C., Castaldo, M., Wang, K.-L., Benito-González, E., Arendt-Nielsen, L., & Fernández-de-las-Peñas, C. (2019) · Women & health · doi:10.1080/03630242.2019.1696440 · Cited by 16
Sexual Stimuli Cause Behavioral Disinhibition in Both Men and Women, but Even More So in Men
Wiemer, J., Kurstak, S., Sellmann, F. B., & Lindner, K. (2023) · Archives of Sexual Behavior · doi:10.1007/s10508-022-02514-1 · Cited by 18
Toward reframing brain-social dynamics: current assumptions and future challenges
Faraji, J., & Metz, G. A. S. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1211442 · Cited by 17
Yang, C. C., Totzek, J. F., Lepage, M., & Lavigne, K. M. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad286 · Cited by 18
Abnormal Auditory Mismatch Fields in Children and Adolescents with 47,XYY Syndrome
Matsuzaki, J., Bloy, L., Blaskey, L. G., Miller, J. S., Kuschner, E. S., Ku, M., DiPiero, M. A., Airey, M., Edgar, J. C., Embick, D., et al. (2019) · Developmental Neuroscience · doi:10.1159/000500799 · Cited by 15
Yerlikaya, D., Hünerli-Gündüz, D., Fide, E., Özbek, Y., Kıyı, İ., Öztura, İ., & Yener, G. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.08.002 · Cited by 15
Watchko, J. F., Painter, M. J., & Panigrahy, A. (2014) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2014.12.004 · Cited by 14
Szalkai, B., Varga, B., & Grolmusz, V. I. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9720-0 · Cited by 15
Langen, C. D., Muetzel, R. L., Blanken, L. M. E., van der Lugt, A., Tiemeier, H. W., Verhulst, F. C., Niessen, W. J., & White, T. J. H. (2018) · Brain and Behavior · doi:10.1002/brb3.1031 · Cited by 18
Fattore, L., & Melis, M. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00019 · Cited by 15
Gender and sex differences in student participation, achievement and engagement in mathematics
Buckley, S. (2016) · ACEReSearch Repository (Australian Council for Educational Research) · Cited by 15
Kautzky‐Willer, A. (2014) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-014-2011-7 · Cited by 24
McGowan, A. L., Parkes, L., He, X., Stanoi, O. A., Kang, Y., Lomax, S., Jovanova, M., Mucha, P. J., Ochsner, K. N., Falk, E. B., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.11.008 · Cited by 15
Laterality and Sex Differences of Human Lateral Habenula Afferent and Efferent Fiber Tracts
Hitti, F. L., Parker, D., Yang, A. I., Brem, S. S., & Verma, R. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.837624 · Cited by 14
Self-citationSex and gender differences in mild traumatic brain injury/concussion
Chaychi, S., Valera, E. M., & Tartaglia, M. C. (2022) · International review of neurobiology · doi:10.1016/bs.irn.2022.07.004 · Cited by 15
Litwińczuk, M. C., Muhlert, N., Trujillo‐Barreto, N. J., & Woollams, A. M. (2023) · Human Brain Mapping · doi:10.1002/hbm.26258 · Cited by 14
Pain mechanisms in the transgender individual: a review
Anger, J. T., Case, L. K., Baranowski, A. P., Berger, A. S., Craft, R. M., Damitz, L., Gabriel, R. A., Harrison, T. E., Kaptein, K., Lee, S., et al. (2024) · Frontiers in Pain Research · doi:10.3389/fpain.2024.1241015 · Cited by 15
Exploring the Impact of Sex and Gender in Brain Function: Implications and Considerations
Gualtierotti, R., Bressi, C., Garavaglia, B., & Brambilla, P. (2024) · Advances in Therapy · doi:10.1007/s12325-024-03016-3 · Cited by 16
Chen, Y., Zhang, F., Wang, M., Zekelman, L., Karayumak, S. C., Xue, T., Zhang, C., Song, Y., Rushmore, J., Makris, N., et al. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103476 · Cited by 14
White Matter Tract Segmentation as Multiple Linear Assignment Problems
Sharmin, N., Olivetti, E., & Avesani, P. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00754 · Cited by 14
McGivern, R. F., Mosso, M., Freudenberg, A., & Handa, R. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0210272 · Cited by 14
Similar patterns of cortical activity in females and males during item memory
Spets, D. S., & Slotnick, S. D. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2019.103581 · Cited by 14
Şahin, Ö., & Yalcinkaya, N. S. (2020) · Sex Roles · doi:10.1007/s11199-020-01181-7 · Cited by 14
In search of sex-related mediators of affective illness
Sikes-Keilp, C., & Rubinow, D. R. (2021) · Biology of Sex Differences · doi:10.1186/s13293-021-00400-4 · Cited by 13
2014 Thomas Willis Award Lecture
Hurn, P. D. (2014) · Stroke · doi:10.1161/strokeaha.114.005377 · Cited by 14
Improving transparency and scientific rigor in academic publishing
Prager, E. M., Chambers, K. E., Plotkin, J. L., McArthur, D. L., Bandrowski, A. E., Bansal, N., Martone, M. E., Bergstrom, H. C., Bespalov, A., & Graf, C. (2018) · Cancer Reports · doi:10.1002/cnr2.1150 · Cited by 15
Goryawala, M., Duara, R., Loewenstein, D., Zhou, Q., Barker, W., Adjouadi, M., & Neuro, T. A. D. (2015) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/1/1/015001 · Cited by 14
Rodie, M., Forbes, K. P. N., & Muir, K. W. (2014) · Endocrine development · doi:10.1159/000363628 · Cited by 14
Metadata
- Authors
- Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R.
- Affiliations
- Section of Biomedical Image Analysis and
- University of Pennsylvania (US)
- Center for Magnetic Resonance and Optical Imaging, Department of Radiology, and
- Children's Hospital of Philadelphia (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-12-02
- Volume
- 111
- Issue
- 2
- Pages
- 823-828
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3896179
- OpenAlex
- W2009872283
- Cited by
- 1,223
- References
- 55
- Citations by year
- 2026: 69 · 2025: 91 · 2024: 95 · 2023: 95 · 2022: 77 · 2021: 111 · 2020: 147 · 2019: 101 · 2018: 112 · 2017: 89 · 2016: 97 · 2015: 70 · 2014: 66 · 2013: 2
- FWCI
- 60.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Brain and Behavior Research Foundation (K23MH098130)
- National Institute of Mental Health (RC2MH089983, MH079938, MH089983, K23MH098130, R01MH079938, MH089924, RC2MH089924, MH092862, R01MH092862)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- sex differences, structural connectome, brain connectivity, brain development, diffusion tensor imaging, cerebellar connections, interhemispheric connectivity, network modularity, transitivity, adolescents, youth
- MeSH terms
- Adolescent, Brain, Child, Female, Humans, Male, Sex Characteristics, Linear Models, Young Adult, Diffusion Tensor Imaging, Connectome
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
