CMC is more than a measure of corticospinal tract integrity in acute stroke patients

Aikio, R.; Laaksonen, Kristina; Sairanen, Viljami; Parkkonen, Eeva; Elseoud, Ahmed Abou; Kujala, Janne V.; Forss, Nina

doi:10.1016/j.nicl.2021.102818

Cited by 3 publications

(4 citation statements)

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“…While previous studies have predominantly relied on measures such as reaction time (RT) and other behavioral indicators, using planning times could represent a significant breakthrough for addressing central processes. On the other hand, it has been suggested that corticomuscular connectivity states can reveal differences in motor control efficiency in individuals with neuromuscular impairments such as stroke [ 34 , 45 , 46 ] or spinal cord injuries [ 47 ]. In this sense, our exploration of connectivity changes provides valuable insights into the underlying neural processes during motor planning in healthy subjects.…”

Section: Discussionmentioning

confidence: 99%

“…However, the implicated networks remain unclear [ 44 ]. Despite other studies [ 34 , 37 , 45 , 46 , 47 ] having previously employed functional connectivity states (i.e., CMC) to identify differences in motor control between healthy subjects and patients with motor disorders, this study introduces an approach for monitoring functional connectivity changes in the beta band to analyze the relationship between MDM and CWL. In order to explore this relationship, we designed an experimental protocol based on a go/no-go task.…”

Section: Introductionmentioning

confidence: 99%

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Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases

Cano,

Albarracín,

Pizá

et al. 2024

Sensors

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Neurodegenerative diseases (NDs), such as Alzheimer’s, Parkinson’s, amyotrophic lateral sclerosis, and frontotemporal dementia, among others, are increasingly prevalent in the global population. The clinical diagnosis of these NDs is based on the detection and characterization of motor and non-motor symptoms. However, when these diagnoses are made, the subjects are often in advanced stages where neuromuscular alterations are frequently irreversible. In this context, we propose a methodology to evaluate the cognitive workload (CWL) of motor tasks involving decision-making processes. CWL is a concept widely used to address the balance between task demand and the subject’s available resources to complete that task. In this study, multiple models for motor planning during a motor decision-making task were developed by recording EEG and EMG signals in n=17 healthy volunteers (9 males, 8 females, age 28.66±8.8 years). In the proposed test, volunteers have to make decisions about which hand should be moved based on the onset of a visual stimulus. We computed functional connectivity between the cortex and muscles, as well as among muscles using both corticomuscular and intermuscular coherence. Despite three models being generated, just one of them had strong performance. The results showed two types of motor decision-making processes depending on the hand to move. Moreover, the central processing of decision-making for the left hand movement can be accurately estimated using behavioral measures such as planning time combined with peripheral recordings like EMG signals. The models provided in this study could be considered as a methodological foundation to detect neuromuscular alterations in asymptomatic patients, as well as to monitor the process of a degenerative disease.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases

Cano,

Albarracín,

Pizá

et al. 2024

Sensors

View full text Add to dashboard Cite

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“…From the 13 articles, we extracted the demographic characteristics (ie, title, authors, year of publication, journal), the characteristics of the studied stroke sample (ie, sample size, age and sex of stroke sample, type of stroke, time since injury), the sensory modalities that were studied, and the results of the analysis relating poststroke subjective sensory hypersensitivity to lesion neuroanatomy. Based on the data extraction, we had to exclude nine articles: One did not study subjective sensory hypersensitivity (Bonan et al, 2015), one studied subjective sensory hypersensitivity after acquired brain injury but did not provide results that were specific to the included individuals with stroke (Berthold-Lindstedt et al, 2017), one studied tactile hyposensitivity in hemiplegic limbs (Aikio et al, 2021), one studied temperature allodynia limited to painful body parts (Klit et al, 2011), one studied photophobia during a migraine episode with comorbid hemianopia (Tanev et al, 2021), three did not mention the neuroanatomy of poststroke subjective sensory hypersensitivity specifically (Alwawi et al, 2020; Carlsson et al, 2004, 2009), and one studied auditory illusions (palinacousis and paracusis) (Fukutake and Hattori, 1998).…”

Section: Methodsmentioning

confidence: 99%

The Neuroanatomy of Poststroke Subjective Sensory Hypersensitivity

Thielen

Tuts

Lafosse

et al. 2023

Cognitive and Behavioral Neurology

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Background: Although subjective sensory hypersensitivity is prevalent after stroke, it is rarely recognized by health care providers, and its neural mechanisms are largely unknown. Objective: To investigate the neuroanatomy of poststroke subjective sensory hypersensitivity as well as the sensory modalities in which subjective sensory hypersensitivity can occur by conducting both a systematic literature review and a multiple case study of patients with subjective sensory hypersensitivity. Method: For the systematic review, we searched three databases (Web of Science, PubMed, and Scopus) for empirical articles discussing the neuroanatomy of poststroke subjective sensory hypersensitivity in humans. We assessed the methodological quality of the included studies using the case reports critical appraisal tool and summarized the results using a qualitative synthesis. For the multiple case study, we administered a patient-friendly sensory sensitivity questionnaire to three individuals with a subacute right-hemispheric stroke and a matched control group and delineated brain lesions on a clinical brain scan. Results: Our systematic literature search resulted in four studies (describing eight stroke patients), all of which linked poststroke subjective sensory hypersensitivity to insular lesions. The results of our multiple case study indicated that all three stroke patients reported an atypically high sensitivity to different sensory modalities. These patients’ lesions overlapped with the right anterior insula, the claustrum, and the Rolandic operculum. Conclusion: Both our systematic literature review and our multiple case study provide preliminary evidence for a role of the insula in poststroke subjective sensory hypersensitivity and suggest that poststroke subjective sensory hypersensitivity can occur in different sensory modalities.

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“…Peak beta-band CMC over M1 is reduced in conditions characterized by UMN degeneration, including stroke ( Fang et al. 2009 ; Aikio et al. 2021 ) and ALS ( Issa et al.…”

Section: Introductionmentioning

confidence: 99%

Cortico-muscular coherence in primary lateral sclerosis reveals abnormal cortical engagement during motor function beyond primary motor areas

et al. 2023

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Primary lateral sclerosis (PLS) is a slowly progressing disorder, which is characterized primarily by the degeneration of upper motor neurons (UMNs) in the primary motor area (M1). It is not yet clear how the function of sensorimotor networks beyond M1 are affected by PLS. The aim of this study was to use cortico-muscular coherence (CMC) to characterize the oscillatory drives between cortical regions and muscles during a motor task in PLS and to examine the relationship between CMC and the level of clinical impairment. We recorded EEG and EMG from hand muscles in 16 participants with PLS and 18 controls during a pincer-grip task. In PLS, higher CMC was observed over contralateral-M1 (α- and γ-band) and ipsilateral-M1 (β-band) compared with controls. Significant correlations between clinically assessed UMN scores and CMC measures showed that higher clinical impairment was associated with lower CMC over contralateral-M1/frontal areas, higher CMC over parietal area, and both higher and lower CMC (in different bands) over ipsilateral-M1. The results suggest an atypical engagement of both contralateral and ipsilateral M1 during motor activity in PLS, indicating the presence of pathogenic and/or adaptive/compensatory alterations in neural activity. The findings demonstrate the potential of CMC for identifying dysfunction within the sensorimotor networks in PLS.

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CMC is more than a measure of corticospinal tract integrity in acute stroke patients

Abstract: Highlights CMC is weaker and occurs at lower frequencies in acute stroke patients. Both afferent and efferent input signals contribute to CMC. CMC should not be used as a direct measure of corticospinal tract integrity.

Cited by 3 publications

References 45 publications

Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases

Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases

The Neuroanatomy of Poststroke Subjective Sensory Hypersensitivity

Cortico-muscular coherence in primary lateral sclerosis reveals abnormal cortical engagement during motor function beyond primary motor areas

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