ArticlePeerJ2020
Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Sex differences in brain activity and connectivity in late-life depression.Psychoradiology · 2026Article
- Association of dopamine-based genetic risk score with dynamic low-frequency fluctuations in first-episode drug-naïve schizophrenia.Brain imaging and behavior · 2023Article
- Aberrant spontaneous static and dynamic amplitude of low-frequency fluctuations in cerebral small vessel disease with or without mild cognitive impairment.Brain and behavior · 2023Article
- Dynamic alterations in the amplitude of low-frequency fluctuation in patients with cerebral small vessel disease.Frontiers in molecular neuroscience · 2023Article
- Altered static and dynamic intrinsic brain activity in unilateral sudden sensorineural hearing loss.Frontiers in neuroscience · 2023Article
- Flexibility of Fast Brain Dynamics and Disease Severity in Amyotrophic Lateral Sclerosis.Neurology · 2022Article
- Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Different sensorimotor mechanism in fast and slow progression amyotrophic lateral sclerosis.Human brain mapping · 2022Article
- Predicting response to tVNS in patients with migraine using functional MRI: A voxels-based machine learning analysis.Frontiers in neuroscience · 2022Article
- Dynamic Alterations in Functional Connectivity Density in Amyotrophic Lateral Sclerosis: A Resting-State Functional Magnetic Resonance Imaging Study.Frontiers in aging neuroscience · 2022Article
- The Predictive Value of Dynamic Intrinsic Local Metrics in Transient Ischemic Attack.Frontiers in aging neuroscience · 2021Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStatic changes in local brain activity in patients suffering from amyotrophic lateral sclerosis (ALS) have been studied. However, the dynamic characteristics of local brain activity are poorly understood. Whether dynamic alterations could differentiate patients with ALS from healthy controls (HCs) remains unclear.
methodsA total of 54 patients with ALS (mean age = 48.71 years, male/female = 36/18) and 54 (mean age = 48.30 years, male/female = 36/18) HCs underwent magnetic resonance imaging scans. To depict static alterations in cortical activity, amplitude of low-frequency fluctuations (ALFF) which measures the total power of regional activity was computed. Dynamic ALFF (d-ALFF) from all subjects was calculated using a sliding-window approach. Statistical differences in ALFF and d-ALFF between both groups were used as features to explore whether they could differentiate ALS from HC through support vector machine method.
resultsIn contrast with HCs, patients with ALS displayed increased ALFF in the right inferior temporal gyrus and bilateral frontal gyrus and decreased ALFF in the left middle occipital gyrus and left precentral gyrus. Furthermore, patients with ALS demonstrated lower d-ALFF in widespread regions, including the right lingual gyrus, left superior temporal gyrus, bilateral precentral gyrus, and left paracentral lobule by comparison with HCs. In addition, the ALFF in the left superior orbitofrontal gyrus had a tendency of correlation with ALSFRS-R score and disease progression rate. The classification performance in distinguishing ALS was higher with both features of ALFF and d-ALFF than that with a single approach.
conclusionsDecreased dynamic brain activity in the precentral gyrus, paracentral gyrus, lingual gyrus, and temporal regions was found in the ALS group. The combined ALFF and d-ALFF could distinguish ALS from HCs with a higher accuracy than ALFF and d-ALFF alone. These findings may provide important evidence for understanding the neuropathology underlying ALS.
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