Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study

被引:0
作者
Dash, Debadatta [1 ]
Teplansky, Kristin [2 ]
Ferrari, Paul [3 ]
Babajani-Feremi, Abbas [4 ]
Calley, Clifford S. [1 ]
Heitzman, Daragh [5 ]
Austin, Sara G. [1 ]
Wang, Jun [1 ,2 ]
机构
[1] Univ Texas Austin, Med Sch, Dept Neurol, Austin, TX 78712 USA
[2] Univ Texas Austin, Dept Speech Language & Hearing Sci, Austin, TX 78712 USA
[3] Corewell Hlth, Helen DeVos Childrens Hosp, Grand Rapids, MI USA
[4] Univ Florida, Dept Neurol, Gainesville, FL USA
[5] ALS Ctr, MDA, Texas Neurol, Austin, TX USA
来源
FRONTIERS IN PSYCHOLOGY | 2024年 / 15卷
基金
美国国家卫生研究院;
关键词
amyotrophic lateral sclerosis; beta oscillation; functional connectivity; magnetoencephalography; speech; AMYOTROPHIC-LATERAL-SCLEROSIS; CORTICAL FUNCTION; CONNECTIVITY; BULBAR; DEGENERATION; DYSFUNCTION; FREQUENCY; SYMPTOMS; ONSET; EEG;
D O I
10.3389/fpsyg.2024.1114811
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Amyotrophic lateral sclerosis (ALS) is an idiopathic, fatal, and fast-progressive neurodegenerative disease characterized by the degeneration of motor neurons. ALS patients often experience an initial misdiagnosis or a diagnostic delay due to the current unavailability of an efficient biomarker. Since impaired speech is typical in ALS, we hypothesized that functional differences between healthy and ALS participants during speech tasks can be explained by cortical pattern changes, thereby leading to the identification of a neural biomarker for ALS. In this pilot study, we collected magnetoencephalography (MEG) recordings from three early-diagnosed patients with ALS and three healthy controls during imagined (covert) and overt speech tasks. First, we computed sensor correlations, which showed greater correlations for speakers with ALS than healthy controls. Second, we compared the power of the MEG signals in canonical bands between the two groups, which showed greater dissimilarity in the beta band for ALS participants. Third, we assessed differences in functional connectivity, which showed greater beta band connectivity for ALS than healthy controls. Finally, we performed single-trial classification, which resulted in highest performance with beta band features (similar to 98%). These findings were consistent across trials, phrases, and participants for both imagined and overt speech tasks. Our preliminary results indicate that speech-evoked beta oscillations could be a potential neural biomarker for diagnosing ALS. To our knowledge, this is the first demonstration of the detection of ALS from single-trial neural signals.
引用
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页数:12
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