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

Overview

Journal Front Aging Neurosci

Specialty Geriatrics

Date 2021 Dec 27

PMID 34955817

Citations 2

Authors

Pei Huang

Xing-Hua Luan

Zhou Xie

Meng-Ting Li

Sheng-di Chen

Jun Liu

Xi-Ze Jia

Li Cao

Hai-Yan Zhou

Affiliations

Soon will be listed here.

Abstract

This study is aimed at investigating the characteristics of the spontaneous brain activity in patients with myotonic dystrophy type 1 (DM1). A total of 18 patients with DM1 and 18 healthy controls (HCs) were examined by resting-state functional MRI. Combined methods include amplitude of low-frequency fluctuations (ALFFs), the fractional amplitude of low-frequency fluctuations (fALFFs), and Wavelet transform-based ALFFs (Wavelet-ALFFs) with standardization, percent amplitude of fluctuation (PerAF) with/without standardization were applied to evaluate the spontaneous brain activity of patients with DM1. Compared with HCs, patients with DM1 showed decreased ALFFs and Wavelet-ALFFs in the bilateral precuneus (PCUN), angular gyrus (ANG), inferior parietal, but supramarginal and angular gyri (IPL), posterior cingulate gyrus (PCG), superior frontal gyrus, medial (SFGmed), middle occipital gyrus (MOG), which were mainly distributed in the brain regions of default mode network (DMN). Decreased ALFFs and Wavelet-ALFFs were also seen in bilateral middle frontal gyrus (MFG), inferior frontal gyrus, opercular part (IFGoperc), which were the main components of the executive control network (ECN). Patients with DM1 also showed decreased fALFFs in SFGmed.R, the right anterior cingulate and paracingulate gyri (ACGR), bilateral MFG. Reduced PerAF in bilateral PCUN, ANG, PCG, MOG, and IPLL as well as decreased PerAF without standardization in PCUNR and bilateral PCG also existed in patients with DM1. In conclusion, patients with DM1 had decreased activity in DMN and ECN with increased fluctuations in the temporal cortex and cerebellum. Decreased brain activity in DMN was the most repeatable and reliable with PCUN and PCG being the most specific imaging biomarker of brain dysfunction in patients with DM1.

Citing Articles

Neurocognitive disorder in Myotonic dystrophy type 1.

Winblad S, Eliasdottir O, Nordstrom S, Lindberg C Heliyon. 2024; 10(10):e30875.

PMID: 38778932 PMC: 11109806. DOI: 10.1016/j.heliyon.2024.e30875.

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

Jiang Q, Lin J, Li C, Hou Y, Shang H Front Neurol. 2022; 13:891789.

PMID: 35873771 PMC: 9301187. DOI: 10.3389/fneur.2022.891789.

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