Functional MRI during the execution of a motor task in patients with multiple sclerosis and fatigue

Specogna, I.; Casagrande, Federica; Lorusso, Arianna; Catalan, Mauro; Gorian, A; Zugna, L; Longo, Renata; Zorzon, Marino; Naccarato, Marcello; Pizzolato, Gilberto; Ukmar, Maja; Cova, Maria Assunta

doi:10.1007/s11547-012-0845-3

Cited by 34 publications

(59 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This has led to identifying specific pathologies within the frontal and parietal cortices [13,43,88,160,175,178], thalami and basal ganglia [13,89,145,149,225], among others. More interestingly, several MS fatigue networks have been described: the fronto-striatal network [157,179,209], the parieto-striatal network [37], the cortico-cortical network mainly involving fronto-frontal and fronto-parietal regions [13,157,169,202,221] and an interhemispheric network consisting of the corpus callosum and its radiating fibers [13,75,178,244,245]. All of them take part in the socalled ''cortico-striato-thalamo-cortical loop'' of MS fatigue [13,22,47,48,54,57,58,70,169,176,177].…”

Section: Anatomical Correlates Of Ms Fatigue: the Cortico-striato-thamentioning

confidence: 99%

Fatigue in multiple sclerosis – Insights into evaluation and management

Ayache

Chalah

2017

Neurophysiologie Clinique/Clinical Neurophysiology

126

View full text Add to dashboard Cite

Section: Anatomical Correlates Of Ms Fatigue: the Cortico-striato-thamentioning

confidence: 99%

Fatigue in multiple sclerosis – Insights into evaluation and management

Ayache

Chalah

2017

Neurophysiologie Clinique/Clinical Neurophysiology

126

View full text Add to dashboard Cite

“…We demonstrated in an earlier fMRI study that activation level related to maintaining a submaximal handgrip force in bilateral cerebellum increased progressively with finger flexor muscle fatigue [1]. A recent fMRI study on patients with MS has revealed increased activation in the left CB when patients underwent a right hand finger tapping task that led to fatigue [31]. The observed increase in FC in bilateral CB with the M1 indicates more synchronized activities between the two structures.…”

Section: Discussionmentioning

confidence: 88%

Strengthened Corticosubcortical Functional Connectivity during Muscle Fatigue

Jiang

Yue

2016

Neural Plasticity

View full text Add to dashboard Cite

The present study examined functional connectivity (FC) between functional MRI (fMRI) signals of the primary motor cortex (M1) and each of the three subcortical neural structures, cerebellum (CB), basal ganglia (BG), and thalamus (TL), during muscle fatigue using the quantile regression technique. Understanding activation relation between the subcortical structures and the M1 during prolonged motor performance should help delineate how central motor control network modulates acute perturbations at peripheral sensorimotor system such as muscle fatigue. Ten healthy subjects participated in the study and completed a 20-minute intermittent handgrip motor task at 50% of their maximal voluntary contraction (MVC) level. Quantile regression analyses were carried out to compare the FC between the contralateral (left) M1 and CB, BG, and TL in the minimal (beginning 100 s) versus significant (ending 100 s) fatigue stages. Widespread, statistically significant increases in FC were found in bilateral BG, CB, and TL with the left M1 during significant versus minimal fatigue stages. Our results imply that these subcortical nuclei are critical components in the motor control network and actively involved in modulating voluntary muscle fatigue, possibly, by working together with the M1 to strengthen the descending central command to prolong the motor performance.

show abstract

“…Übereinstimmend mit diesen Ergebnissen fanden Pardini et al [60] eine signifikante Korrelation zwischen MFIS-Punktzahl und einem linksfrontal lokalisierten Voxel-Cluster, das unter anderem dem fronto-striatalen Netzwerk zugerechnet wird. In einer weiteren Studie von Specogna et al [61] wurde eine motorische Aufgabe der rechten Hand während einer funktionellen Kernspintomografie (fMRT) durchgeführt. Verglichen mit Patienten ohne Fatigue hatten Patienten mit Fatigue eine höhere Aktivierung ipsilateraler prämotorischer Areale, des rechten Putamens und des rechten DLPFC.…”

Section: Fronto-striatales Netzwerkunclassified

Fatigue bei Multipler Sklerose: Neuronale Korrelate und Möglichkeiten nicht-invasiver Hirnstimulation mit tDCS

Ayache

Chalah²,

Kümpfel

et al. 2017

Fortschr Neurol Psychiatr

View full text Add to dashboard Cite

Multiple sclerosis (MS) is a chronic progressive and inflammatory disease of the central nervous system and causes high rates of non-traumatic disability in young adults. Fatigue is frequently reported by a major part of patients during the disease course and dramatically increases the burden of illness. Despite the high prevalence of fatigue and its enormous impact on quality of life, its pathophysiological mechanisms are still unclear. Its etiology is multifactorial and complex, and is usually classified into 'primary' fatigue resulting from the pathological brain changes versus 'secondary' fatigue following disease symptoms, sleep disturbances, mood disorders, and side effects of medication. Hypotheses concerning the pathophysiology of this symptom are based on radiological, physiological, and endocrine data. It has been suggested that fatigue refers to structural and functional changes in a variety of neuronal networks. Over the past years, non-invasive brain stimulation methods were used to modulate brain function, especially transcranial direct current stimulation (tDCS) has proven to impact neuronal connectivity; however evidence is still sparse due to the pilot character of the studies. In this review we aim at discussing the neuronal correlates of fatigue and the potential influence of tDCS in the modulation of the symptoms.

show abstract

Functional MRI during the execution of a motor task in patients with multiple sclerosis and fatigue

Cited by 34 publications

References 24 publications

Fatigue in multiple sclerosis – Insights into evaluation and management

Fatigue in multiple sclerosis – Insights into evaluation and management

Strengthened Corticosubcortical Functional Connectivity during Muscle Fatigue

Fatigue bei Multipler Sklerose: Neuronale Korrelate und Möglichkeiten nicht-invasiver Hirnstimulation mit tDCS

Contact Info

Product

Resources

About