35
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Frequency-dependent changes in local intrinsic oscillations in chronic primary insomnia: A study of the amplitude of low-frequency fluctuations in the resting state

      research-article
      a , d , * , 1 , b , 1 , c , a , a , d , *
      NeuroImage : Clinical
      Elsevier
      ACC, anterior cingulate cortex, ALFF, amplitude of low-frequency fluctuation, ANOVA, analysis of variance, CPI, chronic primary insomnia, CPL, cerebellum posterior lobe, FC, functional connectivity, fMRI, functional MRI, fO/AI, frontal operculum/anterior insula, Fus/CAL, fusiform gyrus/cerebellum anterior lobe, HC, healthy control, MFG/SFG, middle/superior frontal gyrus, MOG, middle occipital gyrus, mPFC, medial prefrontal gyrus, MRI, magnetic resonance imaging, mTL, medial temporal lobe, PCC, posterior cingulate cortex, PCUN, precuneus, PoCG/IPL, postcentral gyrus/inferior parietal lobule, PSQI, Pittsburgh Sleep Quality Index, rs-fMRI, resting-state fMRI, SPM, statistical parametric mapping, SPECT, single-photon emission computed tomography, STG, superior temporal gyrus, STAI-s, State Trait Anxiety Inventory-state, STAI-t, State Trait Anxiety Inventory-trait, Amplitude of low-frequency fluctuations, Chronic primary insomnia, Functional magnetic resonance imaging, resting state, Functional plasticity

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          New neuroimaging techniques have led to significant advancements in our understanding of cerebral mechanisms of primary insomnia. However, the neuronal low-frequency oscillation remains largely uncharacterized in chronic primary insomnia (CPI). In this study, the amplitude of low-frequency fluctuation (ALFF), a data-driven method based on resting-state functional MRI, was used to examine local intrinsic activity in 27 patients with CPI and 27 age-, sex-, and education-matched healthy controls. We examined neural activity in two frequency bands, slow-4 (between 0.027 and 0.073 Hz) and slow-5 (0.010–0.027 Hz), because blood-oxygen level dependent (BOLD) fluctuations in different low-frequency bands may present different neurophysiological manifestations that pertain to a spatiotemporal organization. The ALFF associated with the primary disease effect was widely distributed in the cerebellum posterior lobe (CPL), dorsal and ventral prefrontal cortex, anterior cingulate cortex, precuneus, somatosensory cortex, and several default-mode sub-regions. Several brain regions (i.e., the right cerebellum, anterior lobe, and left putamen) exhibited an interaction between the frequency band and patient group. In the slow-5 band, increased ALFF of the right postcentral gyrus/inferior parietal lobule (PoCG/IPL) was enhanced in association with the sleep quality (ρ = 0.414, P = 0.044) and anxiety index (ρ = 0.406, P = 0.049) of the CPI patients. These findings suggest that during chronic insomnia, the intrinsic functional plasticity primarily responds to the hyperarousal state, which is the loss of inhibition in sensory-informational processing. Our findings regarding an abnormal sensory input and intrinsic processing mechanism might provide novel insight into the pathophysiology of CPI. Furthermore, the frequency factor should be taken into consideration when exploring ALFF-related clinical manifestations.

          Highlights

          • Primary disease effect was widely distributed in several cerebral areas in patients with chronic primary insomnia (CPI).

          • Several brain regions (i.e., right cerebellum, anterior lobe, and left putamen) exhibited interactions between the frequency band and patient group.

          • In the slow-5 band, increased ALFF associated with the sleep quality or the anxiety index in the CPI patients.

          • Our findings regarding an abnormal sensory input and intrinsic processing mechanism might provide novel insight into the pathophysiology of CPI.

          • Furthermore, the frequency factor should be taken into consideration when exploring ALFF-related clinical manifestations.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: found
          • Article: not found

          Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.

          In children with attention deficit hyperactivity disorder (ADHD), functional neuroimaging studies have revealed abnormalities in various brain regions, including prefrontal-striatal circuit, cerebellum, and brainstem. In the current study, we used a new marker of functional magnetic resonance imaging (fMRI), amplitude of low-frequency (0.01-0.08Hz) fluctuation (ALFF) to investigate the baseline brain function of this disorder. Thirteen boys with ADHD (13.0+/-1.4 years) were examined by resting-state fMRI and compared with age-matched controls. As a result, we found that patients with ADHD had decreased ALFF in the right inferior frontal cortex, [corrected] and bilateral cerebellum and the vermis as well as increased ALFF in the right anterior cingulated cortex, left sensorimotor cortex, and bilateral brainstem. This resting-state fMRI study suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective.

            Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to monitor fluctuations in the spontaneous brain activities of thousands of regions in the human brain simultaneously, representing a popular tool for macro-scale functional connectomics to characterize normal brain function, mind-brain associations, and the various disorders. However, the test-retest reliability of RFMRI remains largely unknown. We review previously published papers on the test-retest reliability of voxel-wise metrics and conduct a meta-summary reliability analysis of seven common brain networks. This analysis revealed that the heteromodal associative (default, control, and attention) networks were mostly reliable across the seven networks. Regarding examined metrics, independent component analysis with dual regression, local functional homogeneity and functional homotopic connectivity were the three mostly reliable RFMRI metrics. These observations can guide the use of reliable metrics and further improvement of test-retest reliability for other metics in functional connectomics. We discuss the main issues with low reliability related to sub-optimal design and the choice of data processing options. Future research should use large-sample test-retest data to rectify both the within-subject and between-subject variability of RFMRI measurements and accelerate the application of functional connectomics.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study.

              Here we utilized resting-state functional magnetic resonance imaging (R-fMRI) to measure the amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF) in 24 patients with amnestic mild cognitive impairment (aMCI) and 24 age- and sex-matched healthy controls. Two different frequency bands (slow-5: 0.01-0.027 Hz; slow-4: 0.027-0.073 Hz) were analyzed. We showed that there were widespread differences in ALFF/fALFF between the two bands in many brain regions, predominantly including the medial prefrontal cortex (MPFC), posterior cingulate cortex/precuneus (PCC/PCu), basal ganglia, and hippocampus/parahippocampal gyrus (PHG). Compared to controls, the aMCI patients had decreased ALFF/fALFF values in the PCC/PCu, MPFC, hippocampus/PHG, basal ganglia, and prefrontal regions, and increased ALFF/fALFF values mainly in several occipital and temporal regions. Specifically, we observed that the ALFF/fALFF abnormalities in the PCC/PCu, PHG, and several occipital regions were greater in the slow-5 band than in the slow-4 band. Finally, our results of functional analysis were not significantly influenced by the gray matter loss in the MCI patients, suggesting that the results reflect functional differences between groups. Together, our data suggest that aMCI patients have widespread abnormalities in intrinsic brain activity, and the abnormalities depend on the studied frequency bands of R-fMRI data. Copyright © 2010 Elsevier Inc. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                26 May 2016
                2017
                26 May 2016
                : 15
                : 458-465
                Affiliations
                [a ]Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang 330006, China
                [b ]Department of Radiology, Jiangxi Province Children's Hospital, Nanchang 330006, China
                [c ]Department of Oncology, The Second Hospital of Nanchang, Nanchang 330003, China
                [d ]Jiangxi Province Medical Imaging Research Institute, Nanchang, 330006, China
                Author notes
                [* ]Corresponding author at: Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwaizheng Street, Nanchang, Jiangxi 330006, China.Department of RadiologyThe First Affiliated HospitalNanchang University17 Yongwaizheng StreetNanchangJiangxi330006China fq.chou@ 123456yahoo.com honghan_gong@ 123456sina.com
                [1]

                These authors contributed equally as co-first authors.

                Article
                S2213-1582(16)30087-0
                10.1016/j.nicl.2016.05.011
                5470569
                28649490
                c2abb33f-5165-4ebd-9af9-63b5126a65c0
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 October 2015
                : 7 May 2016
                : 25 May 2016
                Categories
                Regular Article

                acc, anterior cingulate cortex,alff, amplitude of low-frequency fluctuation,anova, analysis of variance,cpi, chronic primary insomnia,cpl, cerebellum posterior lobe,fc, functional connectivity,fmri, functional mri,fo/ai, frontal operculum/anterior insula,fus/cal, fusiform gyrus/cerebellum anterior lobe,hc, healthy control,mfg/sfg, middle/superior frontal gyrus,mog, middle occipital gyrus,mpfc, medial prefrontal gyrus,mri, magnetic resonance imaging,mtl, medial temporal lobe,pcc, posterior cingulate cortex,pcun, precuneus,pocg/ipl, postcentral gyrus/inferior parietal lobule,psqi, pittsburgh sleep quality index,rs-fmri, resting-state fmri,spm, statistical parametric mapping,spect, single-photon emission computed tomography,stg, superior temporal gyrus,stai-s, state trait anxiety inventory-state,stai-t, state trait anxiety inventory-trait,amplitude of low-frequency fluctuations,chronic primary insomnia,functional magnetic resonance imaging, resting state,functional plasticity

                Comments

                Comment on this article