Multiple sclerosis patients show a highly significant decrease in alpha band interhemispheric synchronization measured using MEG

Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity

“…This finding is compatible with the well-known preferential affection of the corpus callosum in MS (GeanMarton et al, 1991;Evangelou et al, 2000;Mesaros et al, 2009;Rocca et al, 2010;Yaldizli et al, 2011) and presumably reflects in part the concentration of all inter-hemispheric connections at a relatively small circumscribed location in the brain. Our results therefore add to previous studies reporting a decreased inter-hemispheric functional connectivity at rest in MS patients (Cover et al, 2006). However, out data also go beyond these studies by demonstrating that such decreases are not specific to inter-hemispheric connections, since most of the functional connectivities with a significant discriminative weight are decreased in patients, both within and between the two hemispheres.…”

“…This methodology has been used in several diseases characterised by diffuse lesions (Fox and Greicius, 2010) such as schizophrenia (Jafri et al, 2008), Alzheimer's disease (Li et al, 2002;Greicius et al, 2004) or depression (Greicius et al, 2007), but investigations in MS are limited to relatively fewer publications. For example, Cover et al (2006) found decreased inter-hemispheric connectivity in MS patients at rest, using a coherence measure based on magneto-encephalography (MEG). Rocca et al (2010) found reduction of activity in the anterior cingulate cortex (ACC) at rest in MS patients relative to controls, and in cognitively impaired MS patients related to cognitively intact MS patients.…”

Increased cortico-cortical functional connectivity in early-stage Parkinson's disease: An MEG study

“…Each of these resting-state networks appears to have a specific electrophysiological signature that combines the involvement of different brain rhythms (Mantini et al, 2007). Utilizing neurophysiological indices of functional connectivity, changes in cortico-cortical coupling during a resting state have now been demonstrated in diverse brain disorders: mild cognitive impairment (Stam et al, 2003;Pijnenburg et al, 2004;Koenig et al, 2005;Babiloni et al, 2006), Alzheimer's disease (Leuchter et al, 1992;Besthorn et al, 1994;Locatelli et al, 1998;Berendse et al, 2000;Pijnenburg et al, 2004;Koenig et al, 2005;Stam et al, 2006bStam et al, , 2007, multiple sclerosis (Cover et al, 2006), brain tumor patients (Bartolomei et al, 2006a,b) and schizophrenia (Micheloyannis et al, 2006). In mild cognitive impairment and Alzheimer's disease, changes were correlated with cognitive deficits (Stam et al, 2003;Babiloni et al, 2006;Stam et al, 2006b).…”

Advanced time‐series analysis of MEG data as a method to explore olfactory function in healthy controls and Parkinson's disease patients

“…These same analysis techniques have proven their use in studying resting-state EEG and MEG data in a number of other neurological conditions [Bosma et al, 2008;Cover et al, 2006;Pijnenburg et al, 2004;Stam et al, 2006], and can also be applied to task-related data [Gootjes et al, 2006;Pijnenburg et al, 2004]. Because the neurophysiological response in EEG or MEG to a stimulus also depends on the level of ongoing activity, changes in resting-state brain activity may negatively influence olfactory information processing in patients with PD.…”