Albouery, M., Buteau, B., Gregoire, S., Cherbuy, C., Pais de Barros, J. P., Martine, L., . . . Bringer, M. A. (2019). Age-Related Changes in the Gut Microbiota Modify Brain Lipid Composition. Front Cell Infect Microbiol, 9, 444. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/31993375. doi:https://doi.org/10.3389/fcimb.2019.00444

Auerbach, R. P., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., . . . Collaborators, W. W.-I. (2018). WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. J Abnorm Psychol, 127(7), 623–638. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/30211576. doi:https://doi.org/10.1037/abn0000362

Auerbach, R. P., Pisoni, A., Bondy, E., Kumar, P., Stewart, J. G., Yendiki, A., & Pizzagalli, D. A. (2017). Neuroanatomical Prediction of Anhedonia in Adolescents. Neuropsychopharmacology, 42(10), 2087–2095. https://doi.org/10.1038/npp.2017.28

Article  PubMed  PubMed Central  Google Scholar 

Aveleira, C. A., Botelho, M., & Cavadas, C. (2015). NPY/neuropeptide Y enhances autophagy in the hypothalamus: a mechanism to delay aging? Autophagy, 11(8), 1431–1433. https://doi.org/10.1080/15548627.2015.1062202

CAS  Article  PubMed  PubMed Central  Google Scholar 

Baglioni, C., Nanovska, S., Regen, W., Spiegelhalder, K., Feige, B., Nissen, C., . . . Riemann, D. (2016). Sleep and mental disorders: A meta-analysis of polysomnographic research. Psychol Bull, 142(9), 969–990. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/27416139. doi:https://doi.org/10.1037/bul0000053

Barandouzi, Z. A., Starkweather, A. R., Henderson, W. A., Gyamfi, A., & Cong, X. S. (2020). Altered Composition of Gut Microbiota in Depression: A Systematic Review. Front Psychiatry, 11, 541. https://doi.org/10.3389/fpsyt.2020.00541

Article  PubMed  PubMed Central  Google Scholar 

Bastiaanssen, T. F. S., Cowan, S. M. C., Claesson, M. J., Dinan, T. G., & Cryan, J. F. (2019). Making Sense of the Microbiome in Psychiatry. Int J Neuropsychopharmacol, 22(1), 37–52. https://doi.org/10.1093/ijnp/pyy067

CAS  Article  PubMed  Google Scholar 

Bremner, J. D., Moazzami, K., Wittbrodt, M. T., Nye, J. A., Lima, B. B., Gillespie, C. F., . . . Vaccarino, V. (2020). Diet, Stress and Mental Health. Nutrients, 12(8). Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/32823562. doi:https://doi.org/10.3390/nu12082428

Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., . . . Marchini, J. (2018). The UK Biobank resource with deep phenotyping and genomic data. Nature, 562(7726), 203–209. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/30305743. doi:https://doi.org/10.1038/s41586-018-0579-z

Byrne, J. E. M., Hughes, M. E., Rossell, S. L., Johnson, S. L., & Murray, G. (2017). Time of Day Differences in Neural Reward Functioning in Healthy Young Men. J Neurosci, 37(37), 8895–8900. https://doi.org/10.1523/JNEUROSCI.0918-17.2017

CAS  Article  PubMed  PubMed Central  Google Scholar 

Calvani, R., Picca, A., Lo Monaco, M. R., Landi, F., Bernabei, R., & Marzetti, E. (2018). Of Microbes and Minds: A Narrative Review on the Second Brain Aging. Front Med (Lausanne), 5, 53. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29552561. doi:https://doi.org/10.3389/fmed.2018.00053

Chen, Y., Meng, P., Cheng, S., Jia, Y., Wen, Y., Yang, X., . . . Zhang, F. (2021). Assessing the effect of interaction between C-reactive protein and gut microbiome on the risks of anxiety and depression. Molecular Brain, 14(1). doi:https://doi.org/10.1186/s13041-021-00843-1

Cheng, S., Qi, X., Ma, M., Zhang, L., Cheng, B., Liang, C., . . . Zhang, F. (2020). Assessing the Relationship Between Gut Microbiota and Bone Mineral Density. Front Genet, 11, 6. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/32082367. doi:https://doi.org/10.3389/fgene.2020.00006

Cheng, W., Rolls, E., Gong, W., Du, J., Zhang, J., Zhang, X. Y., . . . Feng, J. (2020). Sleep duration, brain structure, and psychiatric and cognitive problems in children. Mol Psychiatry. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/32015467. doi:https://doi.org/10.1038/s41380-020-0663-2

Choi, S. W., Mak, T. S., & O’Reilly, P. F. (2020). Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc, 15(9), 2759–2772. https://doi.org/10.1038/s41596-020-0353-1

CAS  Article  PubMed  PubMed Central  Google Scholar 

Damoiseaux, J. S. (2017). Effects of aging on functional and structural brain connectivity. Neuroimage, 160, 32–40. https://doi.org/10.1016/j.neuroimage.2017.01.077

Article  PubMed  Google Scholar 

Davis, K. A. S., Cullen, B., Adams, M., Brailean, A., Breen, G., Coleman, J. R. I., . . . Hotopf, M. (2019). Indicators of mental disorders in UK Biobank-A comparison of approaches. Int J Methods Psychiatr Res, 28(3), e1796. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/31397039. doi:https://doi.org/10.1002/mpr.1796

Dinan, T. G., & Cryan, J. F. (2017). Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegeneration. J Physiol, 595(2), 489–503. https://doi.org/10.1113/JP273106

CAS  Article  PubMed  Google Scholar 

Dretsch, M. N., Lange, R. T., Katz, J. S., Goodman, A., Daniel, T. A., Deshpande, G., . . . Robinson, J. L. (2017). Examining Microstructural White Matter in Active Duty Soldiers with a History of Mild Traumatic Brain Injury and Traumatic Stress. Open Neuroimag J, 11, 46–57. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/28979609. doi:https://doi.org/10.2174/1874440001711010046

Eijsbouts, C., Zheng, T., Kennedy, N. A., Bonfiglio, F., Anderson, C. A., Moutsianas, L., . . . Parkes, M. (2021). Genome-wide analysis of 53,400 people with irritable bowel syndrome highlights shared genetic pathways with mood and anxiety disorders. Nat Genet, 53(11), 1543–1552. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/34741163. doi:https://doi.org/10.1038/s41588-021-00950-8

Ellmore, T. M., Hood, A. J., Castriotta, R. J., Stimming, E. F., Bick, R. J., & Schiess, M. C. (2010). Reduced volume of the putamen in REM sleep behavior disorder patients. Parkinsonism Relat Disord, 16(10), 645–649. https://doi.org/10.1016/j.parkreldis.2010.08.014

Article  PubMed  Google Scholar 

Erickson, K. I., Miller, D. L., & Roecklein, K. A. (2012). The aging hippocampus: interactions between exercise, depression, and BDNF. Neuroscientist, 18(1), 82–97. https://doi.org/10.1177/1073858410397054

CAS  Article  PubMed  Google Scholar 

Fang, Y., Scott, L., Song, P., Burmeister, M., & Sen, S. (2020). Genomic prediction of depression risk and resilience under stress. Nat Hum Behav, 4(1), 111–118. https://doi.org/10.1038/s41562-019-0759-3

Article  PubMed  Google Scholar 

Farzi, A., Reichmann, F., & Holzer, P. (2015). The homeostatic role of neuropeptide Y in immune function and its impact on mood and behaviour. Acta Physiologica, 213(3), 603–627. https://doi.org/10.1111/apha.12445

CAS  Article  PubMed  Google Scholar 

Formanek, T., Kagstrom, A., Cermakova, P., Csemy, L., Mlada, K., & Winkler, P. (2019). Prevalence of mental disorders and associated disability: Results from the cross-sectional CZEch mental health Study (CZEMS). European Psychiatry, 60, 1–6. https://doi.org/10.1016/j.eurpsy.2019.05.001

CAS  Article  PubMed  Google Scholar 

Gong, L., Xu, R., Qin, M., Liu, D., Zhang, B., Bi, Y., & Xi, C. (2020). New potential stimulation targets for noninvasive brain stimulation treatment of chronic insomnia. Sleep Medicine, 75, 380–387. https://doi.org/10.1016/j.sleep.2020.08.021

Article  PubMed  Google Scholar 

Grau-Rivera, O., Operto, G., Falcon, C., Sanchez-Benavides, G., Cacciaglia, R., Brugulat-Serrat, A., . . . Study, A. (2020). Association between insomnia and cognitive performance, gray matter volume, and white matter microstructure in cognitively unimpaired adults. Alzheimers Res Ther, 12(1), 4. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/31907066. doi:https://doi.org/10.1186/s13195-019-0547-3

Grosicki, G. J., Riemann, B. L., Flatt, A. A., Valentino, T., & Lustgarten, M. S. (2020). Self-reported sleep quality is associated with gut microbiome composition in young, healthy individuals: a pilot study. Sleep Medicine, 73, 76–81. https://doi.org/10.1016/j.sleep.2020.04.013

Article  PubMed  PubMed Central  Google Scholar 

Han, L. K. M., Dinga, R., Hahn, T., Ching, C. R. K., Eyler, L. T., Aftanas, L., . . . Schmaal, L. (2020). Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular Psychiatry. doi:https://doi.org/10.1038/s41380-020-0754-0

Hasler, B. P., Germain, A., Nofzinger, E. A., Kupfer, D. J., Krafty, R. T., Rothenberger, S. D., . . . Buysse, D. J. (2012). Chronotype and diurnal patterns of positive affect and affective neural circuitry in primary insomnia. J Sleep Res, 21(5), 515–526. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22369504. doi:https://doi.org/10.1111/j.1365-2869.2012.01002.x

Hillemacher, T., Bachmann, O., Kahl, K. G., & Frieling, H. (2018). Alcohol, microbiome, and their effect on psychiatric disorders. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 85, 105–115. https://doi.org/10.1016/j.pnpbp.2018.04.015

CAS  Article  Google Scholar 

Howard, D. M., Adams, M. J., Clarke, T. K., Hafferty, J. D., Gibson, J., Shirali, M., . . . McIntosh, A. M. (2019). Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci, 22(3), 343–352. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/30718901. doi:https://doi.org/10.1038/s41593-018-0326-7

Hughes, D. A., Bacigalupe, R., Wang, J., Ruhlemann, M. C., Tito, R. Y., Falony, G., . . . Raes, J. (2020). Genome-wide associations of human gut microbiome variation and implications for causal inference analyses. Nat Microbiol, 5(9), 1079–1087. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/32572223. doi:https://doi.org/10.1038/s41564-020-0743-8

Isaev, N. K., Stelmashook, E. V., & Genrikhs, E. E. (2019). Neurogenesis and brain aging. Reviews in the Neurosciences, 30(6), 573–580. https://doi.org/10.1515/revneuro-2018-0084

Article  PubMed  Google Scholar 

Jiang, C., Li, G., Huang, P., Liu, Z., & Zhao, B. (2017). The Gut Microbiota and Alzheimer’s Disease. Journal of Alzheimer’s Disease, 58(1), 1–15. https://doi.org/10.3233/jad-161141

Article  PubMed  Google Scholar 

Kamps, S., van den Heuvel, O. A., van der Werf, Y. D., Berendse, H. W., Weintraub, D., & Vriend, C. (2019). Smaller subcortical volume in Parkinson patients with rapid eye movement sleep behavior disorder. Brain Imaging and Behavior, 13(5), 1352–1360. https://doi.org/10.1007/s11682-018-9939-4

Article  PubMed  Google Scholar 

Killingsworth, J., Sawmiller, D., & Shytle, R. D. (2020). Propionate and Alzheimer’s Disease. Frontiers in Aging Neuroscience, 12, 580001. https://doi.org/10.3389/fnagi.2020.580001

CAS  Article  PubMed  Google Scholar 

Kroenke, K., Spitzer, R. L., Williams, J. B., & Lowe, B. (2010). The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review. General Hospital Psychiatry, 32(4), 345–359. https://doi.org/10.1016/j.genhosppsych.2010.03.006

Article  PubMed  Google Scholar 

Kropf, E., Syan, S. K., Minuzzi, L., & Frey, B. N. (2019). From anatomy to function: the role of the somatosensory cortex in emotional regulation. Brazilian Journal of Psychiatry, 41(3), 261–269. https://doi.org/10.1590/1516-4446-2018-0183

Article  PubMed  Google Scholar 

Labus, J. S., Hollister, E. B., Jacobs, J., Kirbach, K., Oezguen, N., Gupta, A., . . . Mayer, E. A. (2017). Differences in gut microbial composition correlate with regional brain volumes in irritable bowel syndrome. Microbiome, 5(1). doi:https://doi.org/10.1186/s40168-017-0260-z

Lach, G., Schellekens, H., Dinan, T. G., & Cryan, J. F. (2018). Anxiety, Depression, and the Microbiome: A Role for Gut Peptides. Neurotherapeutics, 15(1), 36–59. https://doi.org/10.1007/s13311-017-0585-0

CAS  Article  PubMed  Google Scholar 

Li, D., Ke, Y., Zhan, R., Liu, C., Zhao, M., Zeng, A., . . . Hong, H. (2018). Trimethylamine-N-oxide promotes brain aging and cognitive impairment in mice. Aging Cell, 17(4), e12768. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29749694. doi:https://doi.org/10.1111/acel.12768

Liang, X., Wu, C., Zhao, H., Liu, L., Du, Y., Li, P., . . . Deng, H. W. (2018). Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis. Bone, 116, 301–306. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/30172743. doi:https://doi.org/10.1016/j.bone.2018.08.021

Madrid-Valero, J. J., Rubio-Aparicio, M., Gregory, A. M., Sanchez-Meca, J., & Ordonana, J. R. (2020). Twin studies of subjective sleep quality and sleep duration, and their behavioral correlates: Systematic review and meta-analysis of heritability estimates. . Neuroscience Biobehavioral Review, 109, 78–89. https://doi.org/10.1016/j.neubiorev.2019.12.028

Article  Google Scholar 

Madrid-Valero, J. J., Sanchez-Romera, J. F., Gregory, A. M., Martinez-Selva, J. M., & Ordonana, J. R. (2018). Heritability of sleep quality in a middle-aged twin sample from Spain. Sleep, 41(9). Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/29800350. doi:https://doi.org/10.1093/sleep/zsy110

McLafferty, L. P., Spada, M., & Gopalan, P. (2018). Pharmacologic Treatment of Sleep Disorders in Pregnancy. Sleep Medicine Clinical, 13(2), 243–250. https://doi.org/10.1016/j.jsmc.2018.02.004

Article  Google Scholar 

Meier, S. M., & Deckert, J. (2019). Genetics of Anxiety Disorders. Currency Psychiatry Representstive, 21(3), 16. https://doi.org/10.1007/s11920-019-1002-7

Article  Google Scholar 

Modi, S., Trivedi, R., Singh, K., Kumar, P., Rathore, R. K., Tripathi, R. P., & Khushu, S. (2013). Individual differences in trait anxiety are associated with white matter tract integrity in fornix and uncinate fasciculus: preliminary evidence from a DTI based tractography study. Behavior Brain Research, 238, 188–192. https://doi.org/10.1016/j.bbr.2012.10.007

Article  Google Scholar 

Mohajeri, M. H. (2019). Brain Aging and Gut(-)Brain Axis. Nutrients, 11(2), 424. https://doi.org/10.3390/nu11020424

Article  PubMed Central  Google Scholar 

Norbury, R. (2020). Diurnal Preference and Grey Matter Volume in a Large Population of Older Adults: Data from the UK Biobank. Journal Circadian Rhythms, 18, 3. https://doi.org/10.5334/jcr.193

Article  Google Scholar 

Ohi, K., Otowa, T., Shimada, M., Sasaki, T., & Tanii, H. (2020). Shared genetic etiology between anxiety disorders and psychiatric and related intermediate phenotypes. Psychol Medicine, 50(4), 692–704. https://doi.org/10.1017/S003329171900059X

Article  Google Scholar 

Palotai, M., Mike, A., Cavallari, M., Strammer, E., Orsi, G., Healy, B. C., . . . Guttmann, C. R. (2018). Changes to the septo-fornical area might play a role in the pathogenesis of anxiety in multiple sclerosis. Mult Scler, 24(8), 1105–1114. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/28548605. doi:https://doi.org/10.1177/1352458517711273

Paroni, G., Panza, F., De Cosmo, S., Greco, A., Seripa, D., & Mazzoccoli, G. (2019). Klotho at the Edge of Alzheimer’s Disease and Senile Depression. Mol Neurobiol, 56(3), 1908–1920. https://doi.org/10.1007/s12035-018-1200-z

CAS  Article  PubMed  Google Scholar 

Perna, G., Iannone, G., Alciati, A., & Caldirola, D. (2016). Are Anxiety Disorders Associated with Accelerated Aging? A Focus on Neuroprogression. Neural Plast, 2016, 8457612. https://doi.org/10.1155/2016/8457612

CAS  Article  PubMed  Google Scholar