Magnetic Resonance Imaging

Displaying 1 - 50 of 65CSV
Katsumi, Y., Touroutoglou, A., Brickhouse, M., Eloyan, A., Eckbo, R., Zaitsev, A., La Joie, R., Lagarde, J., Schonhaut, D., Thangarajah, M., Taurone, A., Vemuri, P., Jack, C. R., Dage, J. L., Nudelman, K. N. H., Foroud, T., Hammers, D. B., Ghetti, B., … Murray, M. E. (2025). Dissociable spatial topography of cortical atrophy in early‐onset and late‐onset Alzheimer’s disease: A head‐to‐head comparison of the LEADS and ADNI cohorts. Alzheimer’s & Dementia, 21(2). Portico. https://doi.org/10.1002/alz.14489
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Shang, Y., Theilenberg, S., Peng, B., Schreiber, L. M., Einstein, A. J., Jambawalikar, S. R., & Juchem, C. (2025). B0 Magnetic Field Conditions in the Human Heart at 3 T Across One Thousand Subjects: A Numerical Simulation Study. NMR in Biomedicine, 38(3). Portico. https://doi.org/10.1002/nbm.70006
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de Vries, M. W., Poels, E. M. P., Roshchupkin, G. V., Muetzel, R. L., Zarchev, M., Kamperman, A. M., Tiemeier, H., Vernooij, M. W., & Kushner, S. A. (2025). Preconceptional brain structure and future conception: a prospective brain MRI study among 321 women. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-88075-4
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Putcha, D., Katsumi, Y., Touroutoglou, A., Eloyan, A., Taurone, A., Thangarajah, M., Aisen, P., Dage, J. L., Foroud, T., Jack, C. R., Kramer, J. H., Nudelman, K. N. H., Raman, R., Vemuri, P., Atri, A., Day, G. S., Duara, R., Graff-Radford, N. R., Grant, I. M., … Honig, L. S. (2025). Heterogeneous clinical phenotypes of sporadic early-onset Alzheimer’s disease: a neuropsychological data-driven approach. Alzheimer’s Research & Therapy, 17(1). https://doi.org/10.1186/s13195-025-01689-8
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Marcelle, ET., Yang, H., Cohen, JW., Ramphal, B., Pagliaccio, D., Rauh, V., Peterson, BS., Perera, F., Andrews, H., Rundle, AG., Herbstman, J., & Margolis, AE. (2025). The role of the hippocampus in working memory and word reading: Novel neural correlates of reading among youth living in the context of economic disadvantage. Developmental Cognitive Neuroscience, 71, 101491. https://doi.org/10.1016/j.dcn.2024.101491
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Simani, L., Tozlu, C., Lee, S., Dworkin, J., Ratzan, A. S., Buyukturkoglu, K., Onomichi, K., Mata, J., Riley, C. S., & Leavitt, V. M. (2025). Longitudinal investigation of neuroimaging changes related to memory decline in multiple sclerosis: Testing a mechanistic model. Multiple Sclerosis Journal, 31(2), 207–217. https://doi.org/10.1177/13524585241303491
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Sun, H., Mehta, S., Khaitova, M., Cheng, B., Hao, X., Spann, M., & Scheinost, D. (2024). Brain age prediction and deviations from normative trajectories in the neonatal connectome. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-54657-5
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Vockert, N., Machts, J., Kleineidam, L., Nemali, A., Incesoy, E. I., Bernal, J., Schütze, H., Yakupov, R., Peters, O., Gref, D., Schneider, L. S., Preis, L., Priller, J., Spruth, E. J., Altenstein, S., Schneider, A., Fliessbach, K., Wiltfang, J., … Rostamzadeh, A. (2024). Cognitive reserve against Alzheimer’s pathology is linked to brain activity during memory formation. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-53360-9
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Wang, F., Zou, Z., Sakla, N., Partyka, L., Rawal, N., Singh, G., Zhao, W., Ling, H., Huang, C., Prasanna, P., & Chen, C. (2025). TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. Medical Image Analysis, 99, 103373. https://doi.org/10.1016/j.media.2024.103373
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Manso Jimeno, M., Ravi, K. S., Fung, M., Oyekunle, D., Ogbole, G., Vaughan, J. T., & Geethanath, S. (2024). Automated detection of motion artifacts in brain MR images using deep learning. NMR in Biomedicine, 38(1). Portico. https://doi.org/10.1002/nbm.5276
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van Dijk, M. T., Tartt, A. N., Murphy, E., Gameroff, M. J., Semanek, D., Cha, J., Weissman, M. M., Posner, J., & Talati, A. (2024). Subcortical volumes in offspring with a multigenerational family history of depression – A study across two cohorts. Journal of Affective Disorders, 363, 192–197. https://doi.org/10.1016/j.jad.2024.07.107
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Tahmi, M., Rippon, B., Palta, P., Sherwood, G., Hernandez, G., Soto, L., Cespedes, S., Pardo, M., Laing, K., Igwe, K., Johnson, A., Tomljanovic, Z., He, H., Gutierrez, J., Teresi, J. A., Moreno, H., Kreisl, W., Razlighi, Q., Brickman, A. M., & Luchsinger, J. A. (2024). Relationship Between Alzheimer Disease Imaging Biomarkers and Performance on the NIH Toolbox Cognition Battery in Late-middle Age Hispanics. Alzheimer Disease & Associated Disorders, 38(4), 311–318. https://doi.org/10.1097/wad.0000000000000641
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Sewell, K. R., Doecke, J. D., Xiong, C., Benzinger, T., Masters, C. L., Laske, C., Jucker, M., Lopera, F., Gordon, B. A., Llibre‐Guerra, J., Levin, J., Huey, E. D., Hassenstab, J., Schofield, P. R., Day, G. S., Fox, N. C., Chhatwal, J., Ibanez, L., … Roh, J. H. (2024). Longitudinal associations between exercise and biomarkers in autosomal dominant Alzheimer’s disease. Alzheimer’s & Dementia, 20(11), 7923–7939. Portico. https://doi.org/10.1002/alz.14270
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Hojjati, S. H., Butler, T. A., Luchsinger, J. A., Benitez, R., de Leon, M., Nayak, S., Razlighi, Q. R., & Chiang, G. C. (2024). Increased between-network connectivity: A risk factor for tau elevation and disease progression. Neuroscience Letters, 840, 137943. https://doi.org/10.1016/j.neulet.2024.137943
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VanBuren, W., Feldman, M., Shenoy-Bhangle, A. S., Sakala, M. D., Young, S., Chamie, L. P., Giudice, L., Hindman, N. M., Tong, A., Rabban, J. T., Yano, M., Kilcoyne, A., Dave, H. D., Poder, L., Kho, R. M., Burnett, T. L., Khan, Z., King, C., Shen, L., … Atzen, S. (2024). Radiology State-of-the-art Review: Endometriosis Imaging Interpretation and Reporting. Radiology, 312(3). https://doi.org/10.1148/radiol.233482
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Kim, Y., Stern, Y., Seo, S. W., Na, D. L., Jang, J., & Jang, H. (2024). Factors associated with cognitive reserve according to education level. Alzheimer’s & Dementia, 20(11), 7686–7697. Portico. https://doi.org/10.1002/alz.14236
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Vandewouw, M. M., Norris-Brilliant, A., Rahman, A., Assimopoulos, S., Morton, S. U., Kushki, A., Cunningham, S., King, E., Goldmuntz, E., Miller, T. A., Thomas, N. H., Adams, H. R., Cleveland, J., Cnota, J. F., Ellen Grant, P., Goldberg, C. S., Huang, H., Li, J. S., McQuillen, P., … Anagnostou, E. (2024). Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. NeuroImage, 297, 120721. https://doi.org/10.1016/j.neuroimage.2024.120721
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Bae, S., Liu, K., Pouliopoulos, A. N., Ji, R., Jiménez-Gambín, S., Yousefian, O., Kline-Schoder, A. R., Batts, A. J., Tsitsos, F. N., Kokossis, D., Mintz, A., Honig, L. S., & Konofagou, E. E. (2024). Transcranial blood-brain barrier opening in Alzheimer’s disease patients using a portable focused ultrasound system with real-time 2-D cavitation mapping. Theranostics, 14(11), 4519–4535. https://doi.org/10.7150/thno.94206
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Ariko, T. A., Aimagambetova, B., Gardener, H., Gutierrez, J., Elkind, M. S. V., Wright, C. B., Zhao, W., & Rundek, T. (2024). Estimated Pulse‐Wave Velocity and Magnetic Resonance Imaging Markers of Cerebral Small‐Vessel Disease in the NOMAS. Journal of the American Heart Association, 13(15). https://doi.org/10.1161/jaha.124.035691
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Kurth, F., Schijven, D., van den Heuvel, O. A., Hoogman, M., van Rooij, D., Stein, D. J., Buitelaar, J. K., Bölte, S., Auzias, G., Kushki, A., Venkatasubramanian, G., Rubia, K., Bollmann, S., Isaksson, J., Jaspers‐Fayer, F., Marsh, R., Batistuzzo, M. C., Arnold, P. D., Bressan, R. A., … Luders, E. (2024). Large‐scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents. Human Brain Mapping, 45(11). Portico. https://doi.org/10.1002/hbm.26754
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North, V. S., Jamerson, E. C., Tran, A. Q., & Kazim, M. (2023). Spontaneous regression of a presumed orbital apex cavernous venous malformation. Orbit, 43(4), 523–525. https://doi.org/10.1080/01676830.2023.2202731
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Simani, L., Molaeipour, L., Kian, S., & Leavitt, V. M. (2024). Correlation between cognitive changes and neuroradiological changes over time in multiple sclerosis: a systematic review and meta-analysis. Journal of Neurology, 271(8), 5498–5518. https://doi.org/10.1007/s00415-024-12517-8
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Wang, S. J., Hu, Z., Li, C., He, X., Zhu, C., Wang, Y., Sattar, U., Bazojoo, V., He, H. Y. N., Blumenfeld, J. D., & Prince, M. R. (2024). Automatically Detecting Pancreatic Cysts in Autosomal Dominant Polycystic Kidney Disease on MRI Using Deep Learning. Tomography, 10(7), 1148–1158. https://doi.org/10.3390/tomography10070087
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Leavitt, V. M., Dworkin, J. D., Kalina, T., & Ratzan, A. S. (2024). Sex differences in brain resilience of individuals with multiple sclerosis. Multiple Sclerosis and Related Disorders, 87, 105646. https://doi.org/10.1016/j.msard.2024.105646
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Laroy, M., Bouckaert, F., Ousdal, O. T., Dols, A., Rhebergen, D., van Exel, E., van Wingen, G., van Waarde, J., Verdijk, J., Kessler, U., Bartsch, H., Jorgensen, M. B., Paulson, O. B., Nordanskog, P., Prudic, J., Sienaert, P., Vandenbulcke, M., Oltedal, L., & Emsell, L. (2024). Characterization of gray matter volume changes from one week to 6 months after termination of electroconvulsive therapy in depressed patients. Brain Stimulation, 17(4), 876–886. https://doi.org/10.1016/j.brs.2024.07.015
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Zhang, A., Wengler, K., Zhu, X., Horga, G., Goldberg, T. E., & Lee, S. (2024). Altered Hierarchical Gradients of Intrinsic Neural Timescales in Mild Cognitive Impairment and Alzheimer’s Disease. The Journal of Neuroscience, 44(25), e2024232024. https://doi.org/10.1523/jneurosci.2024-23.2024
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Hu, Z., Sharbatdaran, A., He, X., Zhu, C., Blumenfeld, J. D., Rennert, H., Zhang, Z., Ramnauth, A., Shimonov, D., Chevalier, J. M., & Prince, M. R. (2024). Improved predictions of total kidney volume growth rate in ADPKD using two-parameter least squares fitting. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-62776-8
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Buschur, K. L., Pottinger, T. D., Vogel-Claussen, J., Powell, C. A., Aguet, F., Allen, N. B., Ardlie, K., Bluemke, D. A., Durda, P., Hermann, E. A., Hoffman, E. A., Lima, J. A. C., Liu, Y., Malinsky, D., Manichaikul, A., Motahari, A., Post, W. S., Prince, M. R., Rich, S. S., … Barr, R. G. (2024). Peripheral Blood Mononuclear Cell Gene Expression Associated with Pulmonary Microvascular Perfusion: The Multi-Ethnic Study of Atherosclerosis Chronic Obstructive Pulmonary Disease. Annals of the American Thoracic Society, 21(6), 884–894. https://doi.org/10.1513/annalsats.202305-417oc
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Pollatou, A., Holland, C. M., Stockton, T. J., Peterson, B. S., Scheinost, D., Monk, C., & Spann, M. N. (2024). Mapping Early Brain–Body Interactions: Associations of Fetal Heart Rate Variation with Newborn Brainstem, Hypothalamic, and Dorsal Anterior Cingulate Cortex Functional Connectivity. The Journal of Neuroscience, 44(22), e2363232024. https://doi.org/10.1523/jneurosci.2363-23.2024
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Lao, P., Edwards, N., Flores-Aguilar, L., Alshikho, M., Rizvi, B., Tudorascu, D., Rosas, H. D., Yassa, M., Christian, B. T., Mapstone, M., Handen, B., Zimmerman, M. E., Gutierrez, J., Wilcock, D., Head, E., & Brickman, A. M. (2024). Cerebrovascular disease emerges with age and Alzheimer’s disease in adults with Down syndrome. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-61962-y
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Holland, C. M., Alleyne, K., Pierre-Louis, A., Bansal, R., Pollatou, A., Barbato, K., Cheng, B., Hao, X., Rosen, T. S., Peterson, B. S., & Spann, M. N. (2023). Utilizing maternal prenatal cognition as a predictor of newborn brain measures of intellectual development. Child Neuropsychology, 30(4), 582–601. https://doi.org/10.1080/09297049.2023.2233155
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Makhani, N., Lebrun-Frenay, C., Siva, A., Shabanova, V., Wassmer, E., Santoro, J. D., Narula, S., Brenton, J. N., Mar, S., Durand-Dubief, F., Zephir, H., Mathey, G., Rojas, J. I., de Seze, J., Tenembaum, S., Stone, R. T., Casez, O., Carra-Dallière, C., … Neuteboom, R. F. (2024). The diagnostic workup of children with the radiologically isolated syndrome differs by age and by sex. Journal of Neurology, 271(7), 4019–4027. https://doi.org/10.1007/s00415-024-12289-1
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van der Pluijm, M., Wengler, K., Reijers, P. N., Cassidy, C. M., Tjong Tjin Joe, K., de Peuter, O. R., Horga, G., Booij, J., de Haan, L., & van de Giessen, E. (2024). Neuromelanin-Sensitive MRI as Candidate Marker for Treatment Resistance in First-Episode Schizophrenia. American Journal of Psychiatry, 181(6), 512–519. https://doi.org/10.1176/appi.ajp.20220780
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Shen, B., Bruining, D. H., & YunMa, H. (2024). Radiographic Evaluation of Ileal Pouch Disorders: A Systematic Review. Diseases of the Colon & Rectum, 67(S1), S70–S81. https://doi.org/10.1097/dcr.0000000000003181
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Reyes, A., Sun, L., Ha, R., Desperito, E., Brown, M., Francescone, M. A., Ugras, S., Wiechmann, L., Rao, R., & Taback, B. (2024). A Comprehensive Assessment of Radial Scars on Core Needle Biopsy in Patients with or without Breast Cancer: Upgrade Rate and Implications on Management. Clinical Breast Cancer. https://doi.org/10.1016/j.clbc.2024.01.020
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Li, S., Bhattacharya, S., Chou, C.-Y., Chu, M., Chou, S.-C., Tonelli, M., Goger, M., Yang, H., Palmer, A. G., & Cavagnero, S. (2024). LC-Photo-CIDNP hyperpolarization of biomolecules bearing a quasi-isolated spin pair: Magnetic-Field dependence via a rapid-shuttling device. Journal of Magnetic Resonance, 359, 107616. https://doi.org/10.1016/j.jmr.2023.107616
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Huggins, A. A., Baird, C. L., Briggs, M., Laskowitz, S., Hussain, A., Fouda, S., Haswell, C., Sun, D., Salminen, L. E., Jahanshad, N., Thomopoulos, S. I., Veltman, D. J., Frijling, J. L., Olff, M., van Zuiden, M., Koch, S. B. J., Nawjin, L., Wang, L., Zhu, Y., … Morey, R. (2024). Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup. Molecular Psychiatry, 29(3), 611–623. https://doi.org/10.1038/s41380-023-02352-0
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Wong, T. T., Igbinoba, Z., Tokaria, R., Quarterman, P., Fung, M., Jaramillo, D., & Jambawalikar, S. R. (2023). UTE T2* cartilage mapping in the hip: a pilot study assessing cartilage in patients with femoroacetabular impingement. Acta Radiologica, 65(4), 350–358. https://doi.org/10.1177/02841851231218252
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Beroukhim, R. S., Merlocco, A., Gerardin, J. F., Tham, E., Patel, J. K., Siddiqui, S., Goot, B., Farooqi, K., Soslow, J., Grotenhuis, H., Hor, K., Muthurangu, V., & Raimondi, F. (2023). Multicenter research priorities in pediatric CMR: results of a collaborative wiki survey. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-34720-9
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McCarthy, C., Tinsley, G. M., Bosy-Westphal, A., Müller, M. J., Shepherd, J., Gallagher, D., & Heymsfield, S. B. (2023). Total and regional appendicular skeletal muscle mass prediction from dual-energy X-ray absorptiometry body composition models. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-29827-y
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Tran, C. V., Yang, H. R., Ahmad, Z. Y., Utukuri, P. S., Quarterman, P., Fung, M., Lignelli, A., & Wong, T. T. (2023). Utility of Zero-Echo time sequence as an adjunct for MR evaluation of degenerative disease in the cervical spine. Skeletal Radiology, 53(5), 899–908. https://doi.org/10.1007/s00256-023-04507-0
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Juergensen, S., Liu, J., Xu, D., Zhao, Y., Moon‐Grady, A. J., Glenn, O., McQuillen, P., & Peyvandi, S. (2023). Fetal circulatory physiology and brain development in complex congenital heart disease: A multi‐modal imaging study. Prenatal Diagnosis, 44(6–7), 856–864. Portico. https://doi.org/10.1002/pd.6450
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Poojar, P., Qian, E., Jin, Z., Fung, M., Maddocks, A. B., & Geethanath, S. (2023). Tailored magnetic resonance fingerprinting of post-operative pediatric brain tumor patients. Clinical Imaging, 102, 53–59. https://doi.org/10.1016/j.clinimag.2023.07.004
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Rapuano, K. M., Tejavibulya, L., Dinc, E. N., Li, A., Davis, H., Korn, R., Leibel, R. L., Walsh, B. T., Ranzenhofer, L., Rosenbaum, M., Casey, B. J., & Mayer, L. (2023). Heightened sensitivity to high-calorie foods in children at risk for obesity: insights from behavior, neuroimaging, and genetics. Brain Imaging and Behavior, 17(5), 461–470. https://doi.org/10.1007/s11682-023-00773-7
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Theilenberg, S., Shang, Y., Ghazouani, J., Kumaragamage, C., Nixon, T. W., McIntyre, S., Vaughan, J. T., Parkinson, B., Garwood, M., de Graaf, R. A., & Juchem, C. (2023). Design and realization of a multi‐coil array for B0 field control in a compact 1.5T head‐only MRI scanner. Magnetic Resonance in Medicine, 90(3), 1228–1241. Portico. https://doi.org/10.1002/mrm.29692
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Telesford, Q. K., Gonzalez-Moreira, E., Xu, T., Tian, Y., Colcombe, S. J., Cloud, J., Russ, B. E., Falchier, A., Nentwich, M., Madsen, J., Parra, L. C., Schroeder, C. E., Milham, M. P., & Franco, A. R. (2023). An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02458-8
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Argiris, G., Stern, Y., Lee, S., Ryu, H., & Habeck, C. (2023). Simple topological task-based functional connectivity features predict longitudinal behavioral change of fluid reasoning in the RANN cohort. NeuroImage, 277, 120237. https://doi.org/10.1016/j.neuroimage.2023.120237
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