{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T16:50:26Z","timestamp":1776271826917,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia","doi-asserted-by":"publisher","award":["UIDP\/04279\/2020"],"award-info":[{"award-number":["UIDP\/04279\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brain Sciences"],"abstract":"<jats:p>Background: Accounting for dementia risk factors is essential in identifying people who would benefit most from intervention programs. The CAIDE dementia risk score is commonly applied, but its link to brain function remains unclear. This study aims to determine whether the variation in this score is associated with neurophysiological changes and cognitive measures in normative individuals. Methods: The sample comprised 38 participants aged between 54 and 79 (M = 67.05; SD = 6.02). Data were collected using paper-and-pencil tests and electroencephalogram (EEG) recordings in the resting state, channels FP1 and FP2. The EEG signals were analyzed using Power Spectral Density (PSD)-based features. Results: The CAIDE score is positively correlated with the relative power activation of the \u03b8 band and negatively correlated with the MMSE cognitive test score, and MMSE variations align with those found in distributions of EEG-extracted PSD-based features. Conclusions: The findings suggest that CAIDE scores can identify individuals without noticeable cognitive changes who already exhibit brain activity similar to that seen in people with dementia. They also contribute to the convergent validity between CAIDE and the risk of cognitive decline. This underscores the importance of early monitoring of these factors to reduce the incidence of dementia.<\/jats:p>","DOI":"10.3390\/brainsci14111120","type":"journal-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T03:57:34Z","timestamp":1730692654000},"page":"1120","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploring the Relationship Between CAIDE Dementia Risk and EEG Signal Activity in a Healthy Population"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0482-6403","authenticated-orcid":false,"given":"Alice Rodrigues","family":"Manuel","sequence":"first","affiliation":[{"name":"Faculdade de Ci\u00eancias da Sa\u00fade e Enfermagem, Universidade Cat\u00f3lica Portuguesa, Rua Palma de Cima, 1649-023 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8236-2563","authenticated-orcid":false,"given":"Pedro","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"CBQF\u2014Centro de Biotecnologia e Qu\u00edmica Fina\u2014Laborat\u00f3rio Associado, Escola Superior de Biotecnologia, Universidade Cat\u00f3lica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6545-8069","authenticated-orcid":false,"given":"Gabriel","family":"Silva","sequence":"additional","affiliation":[{"name":"CBQF\u2014Centro de Biotecnologia e Qu\u00edmica Fina\u2014Laborat\u00f3rio Associado, Escola Superior de Biotecnologia, Universidade Cat\u00f3lica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5381-6615","authenticated-orcid":false,"given":"Pedro Miguel","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"CBQF\u2014Centro de Biotecnologia e Qu\u00edmica Fina\u2014Laborat\u00f3rio Associado, Escola Superior de Biotecnologia, Universidade Cat\u00f3lica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9276-8142","authenticated-orcid":false,"given":"Maria V\u00e2nia Silva","family":"Nunes","sequence":"additional","affiliation":[{"name":"Faculdade de Ci\u00eancias da Sa\u00fade e Enfermagem, Universidade Cat\u00f3lica Portuguesa, Rua Palma de Cima, 1649-023 Lisboa, Portugal"},{"name":"Centro de Investiga\u00e7\u00e3o Interdisciplinar em Sa\u00fade (CIIS), Faculdade de Ci\u00eancias da Sa\u00fade e Enfermagem, Universidade Cat\u00f3lica Portuguesa, Rua Palma de Cima, 1649-023 Lisboa, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,4]]},"reference":[{"key":"ref_1","unstructured":"United Nations (2022, September 20). Envelhecimento. Available online: https:\/\/unric.org\/pt\/envelhecimento\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"101075","DOI":"10.1016\/j.arr.2020.101075","article-title":"MRI-based biomarkers of accelerated aging and dementia risk in midlife: How close are we?","volume":"61","author":"Elliott","year":"2020","journal-title":"Ageing Res. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Cohen, R.A., Marsiske, M.M., and Smith, G.E. (2019). Neuropsychology of aging. Geriatric Neurology, Elsevier. Chapter 10.","DOI":"10.1016\/B978-0-12-804766-8.00010-8"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1523\/JNEUROSCI.17-01-00391.1997","article-title":"Age-related differences in neural activity during memory encoding and retrieval: A positron emission tomography study","volume":"17","author":"Cabeza","year":"1997","journal-title":"J. Neurosci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1093\/cercor\/9.8.805","article-title":"The Effects of Age on the Neural Correlates of Episodic Encoding","volume":"9","author":"Grady","year":"1999","journal-title":"Cerebral Cortex"},{"key":"ref_6","unstructured":"Bentivoglio, M., and Zucconi, G. (2018). Quando o C\u00e9rebro Envelhece: Mitos e Certezas Sobre um Processo Universal (e Inevit\u00e1vel), Atl\u00e2ntico Press."},{"key":"ref_7","first-page":"8941","article-title":"Envelhecimento cerebral, na perspetiva das neuroci\u00eancias cognitivas do envelhecimento","volume":"18","author":"Nunes","year":"2014","journal-title":"Povos Cult."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/S1474-4422(12)70291-0","article-title":"Tracking pathophysiological processes in Alzheimer\u2019s disease: An updated hypothetical model of dynamic biomarkers","volume":"12","author":"Jack","year":"2013","journal-title":"Lancet Neurol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Park, D.C. (2012). The basic mechanisms accounting for age-related decline in cognitive function. Cognitive Aging, Psychology Press.","DOI":"10.4324\/9780203727027-7"},{"key":"ref_10","unstructured":"Association, A.P. (2013). Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Association."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/S1474-4422(20)30039-9","article-title":"Ageing without dementia: Can stimulating psychosocial and lifestyle experiences make a difference?","volume":"19","author":"Fratiglioni","year":"2020","journal-title":"Lancet Neurol."},{"key":"ref_12","first-page":"404","article-title":"Mild Cognitive Impairment","volume":"22","author":"Petersen","year":"2016","journal-title":"Continuum"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/S0140-6736(20)30367-6","article-title":"Dementia prevention, intervention, and care: 2020 report of the Lancet Commission","volume":"396","author":"Livingston","year":"2020","journal-title":"Lancet"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1212\/WNL.0b013e3181b59bf3","article-title":"Treatment of vascular risk factors is associated with slower decline in Alzheimer disease","volume":"73","author":"Deschaintre","year":"2009","journal-title":"Neurology"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1016\/j.jalz.2015.05.016","article-title":"Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective","volume":"11","author":"Baumgart","year":"2015","journal-title":"Alzheimer\u2019s Dement."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"v2","DOI":"10.1136\/jnnp.2005.082867","article-title":"Epidemiology and risk factors of dementia","volume":"76","year":"2005","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2673","DOI":"10.1016\/S0140-6736(17)31363-6","article-title":"Dementia prevention, intervention, and care","volume":"390","author":"Livingston","year":"2017","journal-title":"Lancet"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1093\/gerona\/glab130","article-title":"Change in CAIDE Dementia Risk Score and Neuroimaging Biomarkers During a 2-Year Multidomain Lifestyle Randomized Controlled Trial: Results of a Post-Hoc Subgroup Analysis","volume":"76","author":"Stephen","year":"2021","journal-title":"J. Gerontol. Ser. A"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Anstey, K.J., Zheng, L., Peters, R., Kootar, S., Barbera, M., Stephen, R., Dua, T., Chowdhary, N., Solomon, A., and Kivipelto, M. (2022). Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines. Front. Neurol., 12.","DOI":"10.3389\/fneur.2021.765454"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/S1474-4422(06)70537-3","article-title":"Risk score for the prediction of dementia risk in 20 years among middle aged people: A longitudinal, population-based study","volume":"5","author":"Kivipelto","year":"2006","journal-title":"Lancet Neurol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.jns.2007.01.081","article-title":"The prevention of the dementia epidemic","volume":"257","author":"Korczyn","year":"2007","journal-title":"J. Neurol. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"93","DOI":"10.3233\/JAD-140924","article-title":"Midlife CAIDE Dementia Risk Score and Dementia-Related Brain Changes up to 30 Years Later on Magnetic Resonance Imaging","volume":"44","author":"Vuorinen","year":"2015","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"695","DOI":"10.3233\/JAD-170092","article-title":"Associations of CAIDE Dementia Risk Score with MRI, PIB-PET measures, and cognition","volume":"59","author":"Stephen","year":"2017","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.jns.2009.02.332","article-title":"The value of quantitative EEG in differential diagnosis of Alzheimer\u2019s disease and subcortical vascular dementia","volume":"283","author":"Gawel","year":"2009","journal-title":"J. Neurol. Sci."},{"key":"ref_25","unstructured":"Sanei, S., and Chambers, J.A. (2013). Introduction to EEG. EEG Signal Processing, John Wiley & Sons Ltd."},{"key":"ref_26","first-page":"906038","article-title":"Role of EEG as Biomarker in the Early Detection and Classification of Dementia","volume":"2014","author":"Ali","year":"2014","journal-title":"Sci. World J."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Ara\u00fajo, T., Teixeira, J.P., and Rodrigues, P.M. (2022). Smart-Data-Driven System for Alzheimer Disease Detection through Electroencephalographic Signals. Bioengineering, 9.","DOI":"10.3390\/bioengineering9040141"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"40","DOI":"10.4018\/IJRQEH.2018010104","article-title":"Electroencephalogram Signal Analysis in Alzheimer\u2019s Disease Early Detection","volume":"7","author":"Rodrigues","year":"2018","journal-title":"Int. J. Reliab. Qual. E-Healthc."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Doan, D.N.T., Ku, B., Choi, J., Oh, M., Kim, K., Cha, W., and Kim, J.U. (2021). Predicting Dementia with Prefrontal Electroencephalography and Event-Related Potential. Front. Aging Neurosci., 13.","DOI":"10.3389\/fnagi.2021.659817"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Cruz-Cunha, M.M., Varaj\u00e3o, J., Powell, P., and Martinho, R. (2011). Artificial Neural Networks in the Discrimination of Alzheimer\u2019s Disease. ENTERprise Information Systems, Springer. Communications in Computer and Information Science.","DOI":"10.1007\/978-3-642-24352-3"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"102711","DOI":"10.1016\/j.nicl.2021.102711","article-title":"Resting-state electroencephalographic biomarkers of Alzheimer\u2019s disease","volume":"31","author":"Cecchetti","year":"2021","journal-title":"NeuroImage Clin."},{"key":"ref_32","first-page":"132","article-title":"Declaration of Helsinki","volume":"59","author":"Duncan","year":"2013","journal-title":"World Med. J."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0022-3956(75)90026-6","article-title":"\u201cMini-mental state\u201d: A practical method for grading the cognitive state of patients for the clinician","volume":"12","author":"Folstein","year":"1975","journal-title":"J. Psychiatr. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Trzepacz, P.T., Hochstetler, H., Wang, S., Walker, B., and Saykin, A.J. (2015). Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC Geriatr., 15.","DOI":"10.1186\/s12877-015-0103-3"},{"key":"ref_35","first-page":"9","article-title":"Adapta\u00e7\u00e3o \u00e0 popula\u00e7\u00e3o portuguesa da tradu\u00e7\u00e3o do Mini Mental State Examination (MMSE)","volume":"1","author":"Guerreiro","year":"1994","journal-title":"Rev. Port. Neurol."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Beck, A.T., Steer, R.A., and Brown, G. (1996). Beck Depression Inventory\u2014II. PsycTESTS Dataset.","DOI":"10.1037\/t00742-000"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1027\/1015-5759\/a000072","article-title":"The Portuguese Version of the Beck Depression Inventory-II (BDI-II): Preliminary Psychometric Data with Two Nonclinical Samples","volume":"27","author":"Campos","year":"2011","journal-title":"Eur. J. Psychol. Assess."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1515\/REVNEURO.2010.21.3.187","article-title":"Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences","volume":"21","author":"Fjell","year":"2010","journal-title":"Rev. Neurosci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3384","DOI":"10.1109\/JBHI.2021.3069789","article-title":"Lacsogram: A New EEG Tool to Diagnose Alzheimer\u2019s Disease","volume":"25","author":"Rodrigues","year":"2021","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1109\/JSEN.2011.2115236","article-title":"Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA","volume":"12","author":"Mammone","year":"2012","journal-title":"IEEE Sens. J."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Coifman, R.R., and Donoho, D.L. (1995). Translation-Invariant De-Noising. Wavelets and Statistics, Springer.","DOI":"10.1007\/978-1-4612-2544-7_9"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/s11571-014-9325-x","article-title":"Power spectral density and coherence analysis of Alzheimer\u2019s EEG","volume":"9","author":"Wang","year":"2015","journal-title":"Cogn. Neurodyn."},{"key":"ref_43","unstructured":"Richards, M.A. (2013). The Discrete-Time Fourier Transform and Discrete Fourier Transform of Windowed Stationary White Noise, Georgia Institute of Technology. Technical Report."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Sundararajan, D.D., and Sundararajan, D. (2021). Discrete-Time Fourier Transform. Digit. Signal Process. Introd., 105\u2013153.","DOI":"10.1007\/978-3-030-62368-5_4"},{"key":"ref_45","first-page":"206","article-title":"An overview of power spectral density (PSD) calculations","volume":"5869","author":"Youngworth","year":"2005","journal-title":"Opt. Manuf. Test. VI"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1109\/97.728471","article-title":"Generalization of the Wiener-Khinchin theorem","volume":"5","author":"Cohen","year":"1998","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Ribeiro, P., Marques, J.A.L., Pordeus, D., Zacarias, L., Leite, C.F., Sobreira-Neto, M.A., Peixoto, A.A., de Oliveira, A., Madeiro, J.P.d.V., and Rodrigues, P.M. (2024). Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity. Biomed. Signal Process. Control, 87.","DOI":"10.1016\/j.bspc.2023.105558"},{"key":"ref_48","unstructured":"Peck, R., Olsen, C., and Devore, J.L. (2008). Introduction to Statistics and Data Analysis, Cengage Learning."},{"key":"ref_49","unstructured":"Mar\u00f4co, J. (2024, October 29). An\u00e1lise Estat\u00edstica com o SPSS Statistics: 7\u00aa edi\u00e7\u00e3o, Available online: https:\/\/books.google.pt\/books?id=Ki5gDwAAQBAJ&printsec=frontcover&hl=pt-PT#v=onepage&q=pub&f=false."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.neuroimage.2013.04.059","article-title":"Individual alpha peak frequency is related to latent factors of general cognitive abilities","volume":"79","author":"Grandy","year":"2013","journal-title":"NeuroImage"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1162\/jocn_a_02026","article-title":"Individual Alpha Frequency Contributes to the Precision of Human Visual Processing","volume":"36","author":"Tarasi","year":"2024","journal-title":"J. Cogn. Neurosci."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S1388-2457(03)00345-6","article-title":"Individual analysis of EEG frequency and band power in mild Alzheimer\u2019s disease","volume":"115","author":"Moretti","year":"2004","journal-title":"Clin. Neurophysiol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1212\/WNL.0000000000205458","article-title":"Individual Alpha Frequency for Diagnosis and Prognosis in Dementia (P3-9.013)","volume":"102","author":"Cecchetti","year":"2024","journal-title":"Neurology"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Babiloni, C., Triggiani, A.I., Lizio, R., Cordone, S., Tattoli, G., Bevilacqua, V., Soricelli, A., Ferri, R., Nobili, F., and Gesualdo, L. (2016). Classification of Single Normal and Alzheimer\u2019s Disease Individuals from Cortical Sources of Resting State EEG Rhythms. Front. Neurosci., 10.","DOI":"10.3389\/fnins.2016.00047"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Tsanov, M., and Manahan-Vaughan, D. (2009). Long-Term Plasticity Is Proportional to Theta-Activity. PLoS ONE, 4.","DOI":"10.1371\/journal.pone.0005850"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3233\/JAD-220204","article-title":"Theta Band-Power Shapes Amyloid-Driven Longitudinal EEG Changes in Elderly Subjective Memory Complainers At-Risk for Alzheimer\u2019s Disease","volume":"90","author":"Spinelli","year":"2022","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"183","DOI":"10.2741\/4587","article-title":"EEG and ERP biomarkers of Alzheimer rsquo s disease a critical review","volume":"23","author":"Horvath","year":"2018","journal-title":"Front. Biosci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.tics.2012.10.007","article-title":"Alpha-band oscillations, attention, and controlled access to stored information","volume":"16","author":"Klimesch","year":"2012","journal-title":"Trends Cogn. Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1111\/1467-9280.00195","article-title":"Neural Recruitment and Cognitive Aging: Two Hemispheres Are Better Than One, Especially as You Age","volume":"10","author":"Stanczak","year":"1999","journal-title":"Psychol. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.1016\/S0140-6736(15)60461-5","article-title":"A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial","volume":"385","author":"Ngandu","year":"2015","journal-title":"Lancet"}],"container-title":["Brain Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3425\/14\/11\/1120\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:28:02Z","timestamp":1760113682000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3425\/14\/11\/1120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,4]]},"references-count":60,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["brainsci14111120"],"URL":"https:\/\/doi.org\/10.3390\/brainsci14111120","relation":{},"ISSN":["2076-3425"],"issn-type":[{"value":"2076-3425","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,4]]}}}