Abdi, H., & Beaton, D. (in press). Principal component and correspondence analyses using R. Springer.

Andrews-Hanna, J. R. (2012). The brain’s default network and its adaptive role in internal mentation. The Neuroscientist, 18(3), 251–270. https://doi.org/10.1177/1073858411403316

Article  PubMed  Google Scholar 

Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007). Disruption of large-scale brain systems in advanced aging. Neuron, 56, 924–935. https://doi.org/10.1016/j.neuron.2007.10.038

Article  CAS  PubMed  PubMed Central  Google Scholar 

Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010). Functional-anatomical fractionation of the brain’s default network. Neuron, 65, 550–562. https://doi.org/10.1016/j.neuron.2010.02.005

Article  CAS  PubMed  PubMed Central  Google Scholar 

Atti, A. R., Valente, S., Iodice, A., Caramella, I., Ferrari, B., Albert, U., Mandelli, L., & de Ronchi, D. (2019). Metabolic syndrome, mild cognitive impairment, and dementia: A meta-analysis of longitudinal studies. American Journal of Geriatric Psychiatry, 27(6), 625–637. https://doi.org/10.1016/j.jagp.2019.01.214

Article  Google Scholar 

Badhwar, A., Tam, A., Dansereau, C., Orban, P., Hoffstaedter, F., & Bellec, P. (2017). Resting-state network dysfunction in Alzheimer’s disease: A systematic review and meta-analysis. Alzheimer’s & Dementia: Diagnosis Assessment & Disease Monitoring, 8, 73–85. https://doi.org/10.1016/j.dadm.2017.03.007

Article  Google Scholar 

Bartoli, F., Carrà, G., Crocamo, C., Caretta, D., & Clerici, M. (2013). Metabolic syndrome in people suffering from posttraumatic stress disorder: A systematic review and meta-analysis. Metabolic Syndrome and Related Disorders, 11(5), 301–308. https://doi.org/10.1089/met.2013.0010

Article  PubMed  Google Scholar 

Beaton, D., Rieck, J., Fatt, C. R. C., & Abdi, H. (2013). Two-table ExPosition.

Blake, D. D., Weathers, F. W., Nagy, L. M., Kaloupek, D. G., Gusman, F. D., Charney, D. S., & Keane, T. M. (1995). The development of a clinician-administered PTSD scale. Journal of Traumatic Stress, 8(1), 75–90. https://doi.org/10.1007/BF02105408

Article  CAS  PubMed  Google Scholar 

Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. https://doi.org/10.1196/annals.1440.011

Article  PubMed  Google Scholar 

Chen, Y., Jiao, Y., Cui, Y., Shang, S., Ding, J., Feng, Y., & Teng, G. (2014). Aberrant brain functional connectivity related to insulin resistance in type 2 diabetes: A resting-state fMRI study. Diabetes Care, 37(6), 1689–1696. https://doi.org/10.2337/dc13-2127

Article  CAS  PubMed  Google Scholar 

Cox, R. W. (1996). AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research an International Journal, 29(3), 162–173. https://doi.org/10.1006/cbmr.1996.0014

Article  CAS  PubMed  Google Scholar 

Cypel, Y. S., Vogt, D., Maguen, S., Bernhard, P., Lowery, E., Culpepper, W. J., Armand-Gibbs, I., & Schneiderman, A. I. (2023). Physical health of post-9/11 U.S. military veterans in the context of healthy people 2020 targeted topic areas: Results from the Comparative Health Assessment Interview Research Study. Preventative Medicine Reports, 32, 102122. https://doi.org/10.1016/j.pmedr.2023.102122

Article  Google Scholar 

Damoiseaux, J. S., Beckmann, C. F., Arigita, S., Barkhof, E. J., Scheltens, F., Stam, P., Smith, C. J., S. M., & Rombouts, S. A. R. B (2008). Reduced resting-state brain activity in the default network in normal aging. Cerebral Cortex, 18, 1856–1864. https://doi.org/10.1093/cercor/bhm207

Article  CAS  PubMed  Google Scholar 

Doucet, G. E., Janiri, D., Howard, R., O’Brien, M., Andrews-Hanna, J. R., & Frangou, S. (2020). Transdiagnostic and disease-specific abnormalities in the default-mode network hubs in psychiatric disorders: A meta-analysis of resting-state functional imaging studies. European Psychiatry, 63(1), e. https://doi.org/10.1192/j.eurpsy.2020.57

Article  Google Scholar 

Esterman, M., Noonan, S. K., Rosenberg, M., & DeGutis, J. (2013). In the zone or zoning out? Tracking behavioral and neural fluctuations during sustained attention. Cerebral Cortex, 23(11), 2712–2723. https://doi.org/10.1093/cercor/bhs261

Article  PubMed  Google Scholar 

Fischl, B., Sereno, M. I., & Dale, A. M. (1999). Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage, 9(2), 195–207. https://doi.org/10.1006/nimg.1998.0396

Article  CAS  PubMed  Google Scholar 

Fjell, A. M., Sneve, M. H., Grydeland, H., Storsve, A. B., de Lange, G., Amlien, A., Rogeberg, I. K., O. J., & Walhovd, K. B. (2015). Functional connectivity change across multiple cortical networks relates to episode memory changes in aging. Neurobiology of Aging, 36, 3255–3268. https://doi.org/10.1016/j.neurobiolaging.2015.08.020

Article  PubMed  Google Scholar 

Ford, E. S. (2005). Risks for all-cause mortality, cardiovascular disease, and diabetes associated with metabolic syndrome: A summary of the evidence. Diabetes Care, 28(7), 1769–1778. https://doi.org/10.2337/diacare.28.7.1769

Article  PubMed  Google Scholar 

Foret, J. T., Dekhtyar, M., Birdsill, A. C., Tanaka, H., & Haley, A. P. (2021). Metabolic syndrome components moderate the association between executive function and functional connectivity in the default mode network. Brain Imaging and Behavior, 15, 2139–2148. https://doi.org/10.1007/s11682-020-00409-0

Article  PubMed  Google Scholar 

Fortier, C. B., Amick, M. M., Grande, L., McGlynn, S., Kenna, A., Morra, L., Clark, A., Milberg, W. P., & McGlinchey, R. E. (2014). The Boston Assessment of Traumatic Brain Injury-Lifetime (BAT-L) semistructured interview: Evidence of research utility and validity. The Journal of Head Trauma Rehabilitation, 29(1), 89–98. https://doi.org/10.1097/HTR.0b013e3182865859

Article  PubMed  PubMed Central  Google Scholar 

Fulton, J. J., Calhoun, P. S., Wagner, H. R., Schry, A. R., Hair, L. P., Feeling, N., Elbogen, E., & Beckham, J. C. (2015). The prevalence of posttraumatic stress disorder in Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) Veterans: A meta-analysis. Journal of Anxiety Disorders, 31, 98–107. https://doi.org/10.1016/j.janxdis.2015.02.003

Article  PubMed  Google Scholar 

Gami, A. S., Witt, B. J., Howard, D. E., Erwin, P. J., Gami, L. A., Somers, V. K., & Montori, V. M. (2007). Metabolic syndrome and risk of incident cardiovascular evens and death: A systematic review and meta-analysis of longitudinal studies. Journal of the American College of Cardiology, 49(4), 403–414. https://doi.org/10.1016/j.jacc.2006.09.032

Article  CAS  PubMed  Google Scholar 

Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2002). Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences, 100(1), 253–258. https://www.jstor.org/stable/3074142

Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C. Jr., Spertus, J. A., & Costa, F. (2005). American Heart Association, National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation, 112, 2735–2752.

Gu, Y., Liu, R., Qin, R., Chen, X., Zou, J., Jiang, Y., & Xu, Y. (2018). Characteristic changes in the default mode network in hypertensive patients with cognitive impairment. Hypertension Research, 42, 530–540. https://doi.org/10.1038/s41440-018-0176-4

Article  PubMed  Google Scholar 

Hirode, G., & Wong, R. J. (2020). Trends in the prevalence of metabolic syndrome in the United States, 2011–2016. Journal of the American Medical Association, 323(24), 2526–2528. https://doi.org/10.1001/jama.2020.4501

Article  PubMed  Google Scholar 

Hoogenboom, W. S., Marder, T. J., Flores, V. L., Huisman, S., Eaton, H. P., Schneiderman, J. S., & Musen, G. (2014). Cerebral white matter integrity and resting-state functional connectivity in middle-aged patients with type 2 diabetes. Diabetes, 63(2), 728–738. https://doi.org/10.2337/db13-1219

Article  CAS  PubMed  PubMed Central  Google Scholar 

Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M., & Groop, L. (2001). Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care, 24(4), 683–689. https://doi.org/10.2337/diacare.24.4.683

Article  CAS  PubMed  Google Scholar 

Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL NeuroImage, 62(2), 782–790. https://doi.org/10.1016/j.neuroimage.2011.09.015.

Article  PubMed  Google Scholar 

Kim, H. J., Cha, J., Lee, J., Shin, J. S., Jung, N., Kim, Y. J., Choe, Y. S., Lee, K. H., Kim, S. T., Kim, J. S., Lee, J. H., Na, D. L., & Seo, S. W. (2016). Distinctive resting state network disruptions among Alzheimer’s disease, subcortical vascular dementia, and mixed dementia patients. Journal of Alzheimer’s Disease, 50, 709–718. https://doi.org/10.3233/JAD-150637

Article  PubMed  Google Scholar 

Koch, S. B., van Zuiden, J., Nawijn, M., Frijling, L., Veltman, J. L., D. J., & Olff, M. (2016). Aberrant resting-state brain activity in posttraumatic stress disorder: A meta-analysis and systematic review. Depression and Anxiety, 33(7), 592–605.