Altered Local Brain Amplitude of Fluctuations in Patients With Myotonic Dystrophy Type 1

Huang, Pei; Luan, Xinghua; Xie, Zhou; Li, Meng-Ting; Chen, Shengdi; Li, Jun; Jia, Xize; Cao, Li; Zhou, Haiyan

doi:10.3389/fnagi.2021.790632

Cited by 4 publications

(1 citation statement)

References 62 publications

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“…Therefore, the disconnection between primary sensory regions and higher cortical centers may be the basis of impaired higher cognitive function in patients with DM1 (10). A resting-state fMRI study also showed reduced amplitude of spontaneous activity in the middle frontal gyrus, cingulate gyrus, and supplementary motor area of patients with DM1 (46). These regions are components of the default mode network and executive control network, and play an important role in executive function and higher-order cognitive functions (47)(48)(49).…”

Section: Discussionmentioning

confidence: 99%

Gray Matter Abnormalities in Myotonic Dystrophy Type 1: A Voxel-Wise Meta-Analysis

Jiang

Lin

et al. 2022

Front. Neurol.

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BackgroundA growing number of voxel-based morphometry (VBM) studies have demonstrated widespread gray matter (GM) abnormalities in myotonic dystrophy type 1 (DM1), but the findings are heterogeneous. This study integrated previous VBM studies to identify consistent GM changes in the brains of patients with DM1.MethodsSystematic retrieval was conducted in Web of Science, Pubmed, and Embase databases to identify VBM studies that met the inclusion requirements. Data were extracted. The Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) software was used for meta-analysis of voxel aspects.ResultsA total of eight VBM studies were included, including 176 patients with DM1 and 198 healthy controls (HCs). GM volume in patients with DM1 was extensively reduced compared with HCs, including bilateral rolandic operculum, bilateral posterior central gyrus, bilateral precentral gyrus, right insula, right heschl gyrus, right superior temporal gyrus, bilateral supplementary motor area, bilateral middle cingulate gyrus/paracingulate gyrus, left paracentral lobule, and bilateral caudate nucleus. Meta-regression analysis found that regional GM abnormalities were associated with disease duration and Rey-Osterrieth Complex Figure (ROCF)-recall scores.ConclusionDM1 is not only a disease of muscle injury but also a multisystem disease involving brain motor and neuropsychiatric regions, providing a basis for the pathophysiological mechanism of DM1.

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Section: Discussionmentioning

confidence: 99%

Gray Matter Abnormalities in Myotonic Dystrophy Type 1: A Voxel-Wise Meta-Analysis

Jiang

Lin

et al. 2022

Front. Neurol.

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Frequency‐Specific Alternations in the Amplitude of Fluctuations in Tension‐Type Headache: A Machine Learning Study

Jia,

Li,

Zhang

et al. 2024

J of Neuroscience Research

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Brain neural signal at different frequency bands relates to different functions. However, the frequency‐specific properties of spontaneous brain activity in tension‐type headache (TTH)—the most rampant primary headache—remain largely unknown. We investigated the local neural activity of 33 TTH patients and 31 healthy controls (HCs) in the conventional frequency band and two sub‐frequency bands (slow‐4 and slow‐5 frequency band), employing fractional amplitude of low‐frequency fluctuations (fALFF), percent amplitude fluctuations (PerAF) and Wavelet‐ALFF analytic methods. Using age as covariate, we performed two sample t‐test to compare the between‐group differences of each metrics in each frequency band. Support vector machine (SVM) was conducted to classify TTH patients and HCs on the basis of altered spontaneous brain activities. TTH patients showed lower fALFF values in the left cerebellar lobule X, left parahippocampal gyrus, and right supplementary motor area in slow‐5 band. TTH patients showed lower PerAF in the left fusiform and cerebellar regions in three bands. Altered Wavelet‐ALFF values in the right thalamus, left anterior cingulum gyrus, superior parietal gyrus and middle and parietal frontal regions in three frequency bands were detected. And the SVM classifier obtained an overall accuracy of 77.38%, 82.38%, and 95% based on fALFF, PerAF, and Wavelet ALFF values, respectively. TTH patients exhibited abnormal neural activity in various brain regions. The abnormal brain activities serve as powerful features for distinguishing TTH patients. This preliminary exploration provides a novel insight into the underlying mechanism of TTH.

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Neurocognitive disorder in Myotonic dystrophy type 1

Winblad,

Eliasdottir,

Nordström

et al. 2024

Heliyon

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Altered Local Brain Amplitude of Fluctuations in Patients With Myotonic Dystrophy Type 1

Cited by 4 publications

References 62 publications

Gray Matter Abnormalities in Myotonic Dystrophy Type 1: A Voxel-Wise Meta-Analysis

Gray Matter Abnormalities in Myotonic Dystrophy Type 1: A Voxel-Wise Meta-Analysis

Frequency‐Specific Alternations in the Amplitude of Fluctuations in Tension‐Type Headache: A Machine Learning Study

Neurocognitive disorder in Myotonic dystrophy type 1

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