Alterations in internetwork functional connectivity in patients with chronic migraine within the boundaries of the Triple Network Model

Trufanov, A. G.; Markin, Kirill; Frunza, Daria; Litvinenko, Igor; Одинак, М. М.

doi:10.1111/ncn3.12423

Cited by 3 publications

(1 citation statement)

References 46 publications

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“…Существуют два основных способа описания изменений в сетях мозга с помощью этого метода: изучение внутрисетевой или межсетевой ФС. В большинстве предыдущих исследований, использующих анализ «sеedбазы», сообщалось об изменениях функциональной коннективности одной или двух сетей, в то время как очень немногие исследования оценивали сложные модели взаимодействия сетей [3,4].…”

Section: актуальностьunclassified

Alterations in internetwork functional connectivity in patients with post COVID-19 syndrome within the boundaries of the Triple Network Model

Trufanov¹,

Efimtsev

Litvinenko³

2022

Russian Military Medical Academy Reports

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AIM: Was to assess the changes in the connections between the three main neural networks using resting-state fMRI in patients with post COVID-19 syndrome with cerebral neurological symptoms, within the boundaries of the triple net-work model. MATERIALS AND METHODS: We examined a total of 15 patients (mean age 36.4 8.3 years; M : W = 10 : 5) with post COVID-19 syndrome who presented with neurological complaints, primarily decreased memory and attention, general weakness, low performance and sleep disturbance. The control group consisted of healthy 15 subjects (mean age, 32.2 6.9 years; M : W = 11 : 4) who had not previously been exposed to COVID-19. All members of the control group were vaccinated with the Sputnik-V vaccine. Magnetic resonance examination was performed on a Siemens Espree magnetic resonance imaging machine with a magnetic field strength of 1.5T. To exclude structural brain lesions, a standard magnetic resonance examination was performed with pulsed T1-WI, T2-WI, and Flair sequences. For postprocessing, T1 gradient echo and resting state echo-planar imaging protocols were performed. Postprocessing was performed using the software package CONN toolbox 20a to obtain clusters of functional connectivity of the studied neural networks using the seed-to-voxel processing protocol. RESULTS: Disruption of connectivity of the standard resting neural network with lingvalis ingual, fusiform, and middle frontal gyrus was detected. The salient resting neural network had a worse ability to form connections in patients with post COVID-19 syndrome with lateral occipital cortex, angular gyrus, superior parietal lobule and supramarginal gyrus in one cluster and frontal cortex, and paracingular gyrus in the second cluster. The resting frontoparietal neural network interacted significantly better in the control group with the cerebellar structures, the middle frontal gyrus, and the cuneus and precuneus. CONCLUSION: Patients with COVID-19 and the presence of post COVID-19 syndrome have reduced functional connectivity of all three basic neural networks with the big number of anatomo-physiological brain structures.

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Section: актуальностьunclassified

Alterations in internetwork functional connectivity in patients with post COVID-19 syndrome within the boundaries of the Triple Network Model

Trufanov¹,

Efimtsev

Litvinenko³

2022

Russian Military Medical Academy Reports

Self Cite

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Identification of asymmetrical abnormalities in functional connectivity and brain network topology for migraine sufferers: A preliminary study based on resting-state fMRI data

Nie,

Zeng,

Yang

et al. 2024

Brain Research Bulletin

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Mind the Metabolic Gap: Bridging Migraine and Alzheimer's disease through Brain Insulin Resistance

Moro,

Pirovano,

Rota

2024

Aging and disease

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Brain insulin resistance has recently been described as a metabolic abnormality of brain glucose homeostasis that has been proven to downregulate insulin receptors, both in astrocytes and neurons, triggering a reduction in glucose uptake and glycogen synthesis. This condition may generate a mismatch between brain’s energy reserve and expenditure, ??mainly during high metabolic demand, which could be involved in the chronification of migraine and, in the long run, at least in certain subsets of patients, in the prodromic phase of Alzheimer’s disease, along a putative metabolic physiopathological continuum. Indeed, the persistent disruption of glucose homeostasis and energy supply to neurons may eventually impair protein folding, an energy-requiring process, promoting pathological changes in Alzheimer's disease, such as amyloid-β deposition and tau hyperphosphorylation. Hopefully, the “neuroenergetic hypothesis” presented herein will provide further insight on there being a conceivable metabolic bridge between chronic migraine and Alzheimer’s disease, elucidating novel potential targets for the prophylactic treatment of both diseases.

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Alterations in internetwork functional connectivity in patients with chronic migraine within the boundaries of the Triple Network Model

Cited by 3 publications

References 46 publications

Alterations in internetwork functional connectivity in patients with post COVID-19 syndrome within the boundaries of the Triple Network Model

Alterations in internetwork functional connectivity in patients with post COVID-19 syndrome within the boundaries of the Triple Network Model

Identification of asymmetrical abnormalities in functional connectivity and brain network topology for migraine sufferers: A preliminary study based on resting-state fMRI data

Mind the Metabolic Gap: Bridging Migraine and Alzheimer's disease through Brain Insulin Resistance

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