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Vulnerability of multiple large-scale brain networks in dementia with Lewy bodies.
Sala, Arianna; Caminiti, Silvia Paola; Iaccarino, Leonardo; Beretta, Luca; Iannaccone, Sandro; Magnani, Giuseppe; Padovani, Alessandro; Ferini-Strambi, Luigi; Perani, Daniela.
Afiliação
  • Sala A; Vita-Salute San Raffaele University, Milan, Italy.
  • Caminiti SP; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Iaccarino L; Vita-Salute San Raffaele University, Milan, Italy.
  • Beretta L; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Iannaccone S; Vita-Salute San Raffaele University, Milan, Italy.
  • Magnani G; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Padovani A; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Ferini-Strambi L; Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy.
  • Perani D; Department of Neurology, IRCCS San Raffaele Hospital, Milan, Italy.
Hum Brain Mapp ; 40(15): 4537-4550, 2019 10 15.
Article em En | MEDLINE | ID: mdl-31322307
ABSTRACT
Aberrations of large-scale brain networks are found in the majority of neurodegenerative disorders. The brain connectivity alterations underlying dementia with Lewy bodies (DLB) remain, however, still elusive, with contrasting results possibly due to the pathological and clinical heterogeneity characterizing this disorder. Here, we provide a molecular assessment of brain network alterations, based on cerebral metabolic measurements as proxies of synaptic activity and density, in a large cohort of DLB patients (N = 72). We applied a seed-based interregional correlation analysis approach (p < .01, false discovery rate corrected) to evaluate large-scale resting-state networks' integrity and their interactions. We found both local and long-distance metabolic connectivity alterations, affecting the posterior cortical networks, that is, primary visual and the posterior default mode network, as well as the limbic and attention networks, suggesting a widespread derangement of the brain connectome. Notably, patients with the lowest visual and attention cognitive scores showed the most severe connectivity derangement in regions of the primary visual network. In addition, network-level alterations were differentially associated with the core clinical manifestations, namely, hallucinations with more severe metabolic dysfunction of the attention and visual networks, and rapid eye movement sleep behavior disorder with alterations of connectivity of attention and subcortical networks. These multiple network-level vulnerabilities may modulate the core clinical and cognitive features of DLB and suggest that DLB should be considered as a complex multinetwork disorder.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conectoma / Rede Nervosa Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conectoma / Rede Nervosa Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália