DINÂMICA TEMPORAL DE REDES FUNCIONAIS CORTICAIS EM PORTADORES DE ALZHEIMER

Autores/as

  • Tandara Oliveira Benevides Silva Universidade Federal da Bahia
  • Marcos Paulo Andrade Netto
  • Thaise Graziele Lima de Oliveira Toutai
  • Raphael Silva do Rosário
  • José Garcia Vivas Miranda
  • Albert C. Yang

DOI:

https://doi.org/10.22481/rsc.v15i2.4727

Palabras clave:

Redes Funcionais Cerebrais

Resumen

Alzheimer’s Disease (AD) is the main form of dementia among the elderly and a major public health issue. Its neuropathological hallmarks are neurofibrillary tangles and amyloid deposition, which results in the loss of functional connectivity at pre-clinical stages. This study aims to compare spatial and temporal topological patterns of cortical brain functional connectivity between healthy individuals and patients with AD at different stages (very mild, mild or moderate to severe). The EEG data (19 electrodes, 10-20 system) was obtained from patients at Taipei Veterans General Hospital, Taiwan. Functional cerebral networks (FCN) were built by the Motif Synchronization method and then characterized by indices of temporal connectivity and stability. Synchronicity and network topology of FCN were also evaluated. We evaluated connectivity as the average weighted degree and found that it follows a trend, in which connectivity decreases over disease progression. We evaluated topological stability as the vertices variation coefficient (VVC) and found that it also follows a trend, in which stability increases with disease progression. The analysis of the most representative hubs revealed there is a decreased proportion of hubs in brain regions markedly affected by AD. This decrease is more accentuated in later than earlier disease stages, in accordance with previous studies. These data indicate altered connectivity pattern and stability in dynamics of the functional synchronization networks from the analysed groups. Due to high individual variability, which could have masked statistical significance in our data, we suggest future studies with longitudinal design to address the questions presented in this paper.

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Citas

Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne, Brodaty H, Et Al. Defeating Alzheimer's Disease And Other Dementias: A Priority For European Science And Society. The Lancet Neurology, v. 15, n. 5, p. 455-532, 2016.

Patterson C. World Alzheimer Report 2018—The State Of The Art Of Dementia Research: New Frontiers. Alzheimer’s Disease International (Adi): London, Uk, 2018.

Hampel H, Prvulovic D, Teipei S, Jessen F, Luckhaus Lf, Riepe Mw, Et Al. The Future Of Alzheimer's Disease: The Next 10 Years. Progress In Neurobiology, v. 95, n. 4, p. 718-728, 2011.

Alzheimer's Association Et Al. 2017 Alzheimer's Disease Facts And Figures. Alzheimer's & Dementia, v. 13, n. 4, p. 325-373, 2017.

Kang J-H, Korecka M, Figurski Mj, Toledo Jb, Blennow K, Zetterberg H, Et Al. The Alzheimer’s Disease Neuroimaging Initiative 2 Biomarker Core: A Review Of Progress And Plans. Alzheimer's & Dementia, v. 11, n. 7, p. 772-791, 2015.

Nelson Pt, Alafuzoff I, Bigio Eh, Bouras C, Braak H, Caims Nj, Et Al. Correlation Of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review Of The Literature. Journal Of Neuropathology & Experimental Neurology, v. 71, n. 5, p. 362-381, 2012.

Palop Jj, Mucke L. Network Abnormalities And Interneuron Dysfunction In Alzheimer Disease. Nature Reviews Neuroscience, v. 17, n. 12, p. 777, 2016.

Alzheimer's Association Et Al. 2018 Alzheimer's Disease Facts And Figures. Alzheimer's & Dementia, v. 14, n. 3, p. 367-429, 2018.

Clemente Cet, Pinto Rasr. Revisão E Atualização Dos Biomarcadores No Líquor Para Doença De Alzheimer. Revista Brasileira De Neurologia E Psiquiatria, v. 21, n. 1, 2017.

Alzheimer's Association Et Al. 2013 Alzheimer's Disease Facts And Figures. Alzheimer's & Dementia, v. 9, n. 2, p. 208-245, 2013.

Villemagne Vl, Burnham S, Bourgeat P, Brown B, Ellis Ka, Salvado O, Et Al. Amyloid Beta Deposition, Neurodegeneration, And Cognitive Decline In Sporadic Alzheimer's Disease: A Prospective Cohort Study. The Lancet Neurology, v. 12, n. 4, p. 357-367, 2013.

Stam Cj. Modern Network Science Of Neurological Disorders. Nature Reviews Neuroscience, v. 15, n. 10, p. 683, 2014.

Bullmore Ed, Sporns O. Complex Brain Networks: Graph Theoretical Analysis Of Structural And Functional Systems. Nature Reviews Neuroscience, v. 10, n. 3, 2009.

Rosário Rs, Cardoso Pt, Muñoz Ma, Montoya P, Miranda Jgv. Motif-Synchronization: A New Method For Analysis Of Dynamic Brain Networks With EEG. Physica A: Statistical Mechanics And Its Applications, v. 439, p. 7-19, 2015.

Babiloni C, Lizio R, Marzano N, Capotosto P, Soricelli A, Triggiani Ai, Et Al. Brain Neural Synchronization And Functional Coupling In Alzheimer's Disease As Revealed By Resting State EEG Rhythms. International Journal Of Psychophysiology, v. 103, p. 88-102, 2016.

Sporns O, Chialvo Dr, Kaiser M, Hilgetag Cc. Organization, Development And Function Of Complex Brain Networks. Trends In Cognitive Sciences, v. 8, n. 9, p. 418-425, 2004.

Stam Cj. Characterization Of Anatomical And Functional Connectivity In The Brain: A Complex Networks Perspective. International Journal Of Psychophysiology, v. 77, n. 3, p. 186-194, 2010.

Gits Hc. Relating Connectivity And Graph Analysis To Cognitive Function In Alzheimer’s Disease. Michigan Journal Of Medicine, v. 1, n. 1, 2016.

Ren S, Li J, Taya F, De Souza J, Thakor Nv, Bezerianos A. Dynamic Functional Segregation And Integration In Human Brain Network During Complex Tasks. IEEE Transactions On Neural Systems And Rehabilitation Engineering, v. 25, n. 6, p. 547-556, 2017.

Reijneveld Jc, Ponten S, Berendse Hw, Stam Cj. The Application Of Graph Theoretical Analysis To Complex Networks In The Brain. Clinical Neurophysiology, v. 118, n. 11, p. 2317-2331, 2007.

Afshari S, Jalili M. Directed Functional Networks In Alzheimer's Disease: Disruption Of Global And Local Connectivity Measures. IEEE Journal Of Biomedical And Health Informatics, v. 21, n. 4, p. 949-955, 2017.

Bullmore Ed, Sporns O. The Economy Of Brain Network Organization. Nature Reviews Neuroscience, v. 13, n. 5, p. 336, 2012.

D’amelio M, Rossini Pm. Brain Excitability And Connectivity Of Neuronal Assemblies In Alzheimer's Disease: From Animal Models To Human Findings. Progress In Neurobiology, v. 99, n. 1, p. 42-60, 2012.

Gili T, Cercignani M, Serra L, Perri R, Giove F, Magaraviglia B, Et Al. Regional Brain Atrophy And Functional Disconnection Across Alzheimer's Disease Evolution. Journal Of Neurology, Neurosurgery & Psychiatry, v. 82, n. 1, p. 58-66, 2011.

Buckner Rl, Sepulcre J, Talukdar T, Krienen Fm, Liu H, Hedden T, Et Al. Cortical Hubs Revealed By Intrinsic Functional Connectivity: Mapping, Assessment Of Stability, And Relation To Alzheimer's Disease. Journal Of Neuroscience, v. 29, n. 6, p. 1860-1873, 2009.

Van Den Heuvel Mp, Sporns O. Network Hubs In The Human Brain. Trends In Cognitive Sciences, v. 17, n. 12, p. 683-696, 2013.

Lima-Costa Mf, Barreto Sm. Tipos De Estudos Epidemiológicos: Conceitos Básicos E Aplicações Na Área Do Envelhecimento. Epidemiologia E Serviços De Saúde, v. 12, n. 4, p. 189-201, 2003.

Rêgo Mav. Estudos Caso-Controle: Uma Breve Revisão. Gazeta Médica Da Bahia, n. 1, 2010.

Queiroz Ifr, Carneiro Ms, Ribeiro Ma, Flôr Mc, Gomes Mlf, Oliveira En. Análise Espacial Da Violência Contra As Mulheres Nos Anos De 2012 E 2013. Revista Saúde.Com, v. 14, n. 4, p. 1289-1297.

Yang Ac, Wang S-J, Lai K-L, Tsai C-F, Yang C-H, Hwang J-P, Et Al. Cognitive And Neuropsychiatric Correlates Of EEG Dynamic Complexity In Patients With Alzheimer's Disease. Progress In Neuro-Psychopharmacology And Biological Psychiatry, v. 47, p. 52-61, 2013.

Stam Cj, Reijneveld Jc. Graph Theoretical Analysis Of Complex Networks In The Brain. Nonlinear Biomedical Physics, v. 1, n. 1, p. 3, 2007.

Toutain Olgt. Estudo Da Conectividade Cortical Em Estado Alterado De Consciência: Meditação. 2016. 64 Págs. Monografia – Universidade Federal Da Bahia, Salvador, 2016.

De Haan W, Pijnenburg Yal, Strijers Lm, Van Der Made Y, Van Der Filer W, Scheltens P, Et Al. Functional Neural Network Analysis In Frontotemporal Dementia And Alzheimer's Disease Using EEG And Graph Theory. BMC Neuroscience, v. 10, n. 1, p. 101, 2009.

Stam Cj; Van Straaten Ecw. The Organization Of Physiological Brain Networks. Clinical Neurophysiology, v. 123, n. 6, p. 1067-1087, 2012.

Hillary Fg, Roman Ca, Bajo R, Castellanos Nd. Hyperconnectivity Is A Fundamental Response To Neurological Disruption. Neuropsychology, v. 29, n. 1, p. 59, 2015.

Hillary Fg, Grafman Jh. Injured Brains And Adaptive Networks: The Benefits And Costs Of Hyperconnectivity. Trends In Cognitive Sciences, v. 21, n. 5, p. 385-401, 2017.

Kabbara A, Eid H, Falou We, Khalil M, Wendling F, Hassan M. Reduced Integration And Improved Segregation Of Functional Brain Networks In Alzheimer’s Disease. Journal Of Neural Engineering, v. 15, n. 2, p. 026023, 2018.

Bajo R, Castellanos Np, Cuesta P, Aurtenetxe S, Garcia-Pietro J, Gil-Gregorio, Et Al. Differential Patterns Of Connectivity In Progressive Mild Cognitive Impairment. Brain Connectivity, v. 2, n. 1, p. 21-24, 2012.

Sanz-Arigita Ej, Schoonheim Mm, Damoiseaux Js, Rombouts Em, Barkhof F, Scheltens P, Et Al. Loss Of ‘Small-World’ Networks In Alzheimer's Disease: Graph Analysis Of FMRI Resting-State Functional Connectivity. PLOS ONE, v. 5, n. 11, p. E13788, 2010.

Publicado

2019-08-13

Cómo citar

BENEVIDES SILVA, Tandara Oliveira; PAULO ANDRADE NETTO, Marcos; GRAZIELE LIMA DE OLIVEIRA TOUTAI, Thaise; SILVA DO ROSÁRIO, Raphael; GARCIA VIVAS MIRANDA, José; C. YANG, Albert. DINÂMICA TEMPORAL DE REDES FUNCIONAIS CORTICAIS EM PORTADORES DE ALZHEIMER. Saúde.com, [S. l.], v. 15, n. 2, 2019. DOI: 10.22481/rsc.v15i2.4727. Disponível em: https://periodicos2.uesb.br/rsc/article/view/4727. Acesso em: 25 may. 2026.