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Altered Default Mode Network on Resting-State fMRI in Children with Infantile Spasms

Ya Wang, Yong-Xin Li, Huirong Wang, Yanjun Chen, Wen-Hua Huang

Frontiers in Neurology May 19, 2017 DOI: 10.3389/fneur.2017.00209 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Case-control neuroimaging study Peer reviewed
Sample size 48
Population Children with infantile spasms syndrome and sex- and age-matched healthy controls
Measures Functional connectivity (FC) analysis with seed in posterior cingulate cortex (PCC), amplitude of low-frequency fluctuation (ALFF)
Topics Default mode network
Key findings Children with infantile spasms showed markedly reduced functional connectivity between the posterior cingulate cortex seed and other default mode network regions, and some of these regions also had significantly lower ALFF signals than healthy controls. The authors propose that this disrupted coherence of default mode network signal fluctuations may reflect neuronal functional impairment or altered integration relevant to the condition, though whether these changes relate to cognitive performance remains to be determined.

Abstract

Infantile spasms (IS) syndrome is an age-dependent epileptic encephalopathy, which occurs in children characterized by spasms, impaired consciousness, and hypsarrhythmia. Abnormalities in default mode network (DMN) might contribute to the loss of consciousness during seizures and cognitive deficits in children with IS. The purpose of the present study was to investigate the changes in DMN with functional connectivity (FC) and amplitude of low-frequency fluctuation (ALFF), the two methods to discover the potential neuronal underpinnings of IS. The consistency of the two calculate methods of DMN abnormalities in IS patients was also our main focus. To avoid the disturbance of interictal epileptic discharge, our testing was performed within the interictal durations without epileptic discharges. Resting-state fMRI data were collected from 13 patients with IS and 35 sex- and age-matched healthy controls. FC analysis with seed in posterior cingulate cortex (PCC) was used to compare the differences between two groups. We chose PCC as the seed region because PCC is the only node in the DMN that directly interacts with virtually all other nodes according to previous studies. Furthermore, the ALFF values within the DMN were also calculated and compared between the two groups. The FC results showed that IS patients exhibited markedly reduced connectivity between posterior seed region and other areas within DMN. In addition, part of the brain areas within the DMN showing significant difference of FC had significantly lower ALFF signal in the patient group than that in the healthy controls. The observed disruption in DMN through the two methods showed that the coherence of brain signal fluctuation in DMN during rest was broken in IS children. Neuronal functional impairment or altered integration in DMN would be one neuroimaging characteristic, which might help us to understand the underlying neural mechanism of IS. Further studies are needed to determine whether the disturbed FC and ALFF observed in the DMN are related to cognitive performance in IS patients.

Comparable studies

Other experimental studies on default mode network, most cited first.

Study Year Design Participants
Functional connectivity of default mode network components: Correlation, anticorrelation, and causality Healthy subjects 2008 Observational study using resting-state fMRI and seed correlation analysis
Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network Healthy subjects 2009 Experimental study using fMRI
Dynamic reconfiguration of the default mode network during narrative comprehension Human subjects 2016 Experimental study
Broadband Cortical Desynchronization Underlies the Human Psychedelic State Healthy human participants 2013 Experimental study
The brain on art: intense aesthetic experience activates the default mode network Human observers 2012 Observational study with fMRI and behavioral analysis

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