Resting-state functional connectivity as a marker of disease progression in Parkinson's disease: A longitudinal MEG study

Dubbelink, K.T.E. Olde; Stoffers, Diederick; Deijen, J.B.; Twisk, Jos W. R.; Stam, Cornelis J.; Hillebrand, Arjan; Berendse, Henk W.

doi:10.1016/j.nicl.2013.04.003

Cited by 78 publications

(99 citation statements)

References 47 publications

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“…For each brain voxel (or ROI), we then averaged its normalized ΔFC with all other brain voxels (or ROIs), and this averaged normalized ΔFC was used as a measure of information exchange loss/gain for this voxel (or ROI) (Olde Dubbelink et al 2013). Figure 5 shows voxel-wise histograms (A) and spatial distributions (B) of the averaged normalized ΔFC for all isoflurane doses.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, ΔFC at each dose was divided by the corresponding FC strength at the awake state (referred to as normalized ΔFC hereafter). Furthermore, to examine the change of information exchange for a local brain region (a voxel or ROI), we averaged the normalized ΔFC between this voxel (or ROI) and all other brain voxels (or ROIs) at each anesthetized condition (Olde Dubbelink et al 2013). This averaged normalized ΔFC was used as the quantity to measure information exchange loss/gain for the voxel/ROI.…”

Section: Methodsmentioning

confidence: 99%

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Global reduction of information exchange during anesthetic-induced unconsciousness

Hamilton

Zhang

2017

Brain Struct Funct

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During anesthetic-induced unconsciousness (AIU), the brain undergoes a dramatic change in its capacity to exchange information between regions. However, the spatial distribution of information exchange loss/gain across the entire brain remains elusive. In the present study, we acquired and analyzed resting-state functional magnetic resonance imaging (rsfMRI) data in rats during wakefulness and graded levels of consciousness induced by incrementally increasing the concentration of isoflurane. We found that, regardless of spatial scale, the functional connectivity (FC) change (i.e. ΔFC) was proportionally dependent on the FC strength at the awake state across all connections. This dependency became stronger at higher doses of isoflurane. In addition, the relative FC change at each anesthetized condition (i.e. ΔFC normalized to the corresponding FC strength at the awake state) was exclusively negative across the whole brain, indicating a global loss of meaningful information exchange between brain regions during AIU. To further support this notion, we showed that during unconsciousness, the entropy of rsfMRI signal increased to a value comparable to random noise while the mutual information decreased appreciably. Importantly, consistent results were obtained when unconsciousness was induced by dexmedetomidine, an anesthetic agent with a distinct molecular action than isoflurane. This result indicates that the observed global reduction in information exchange may be agent invariant. Taken together, these findings provide compelling neuroimaging evidence suggesting that the brain undergoes a widespread disruption in the exchange of meaningful information during AIU, and that this phenomenon may represent a common systems-level neural mechanism of AIU.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Global reduction of information exchange during anesthetic-induced unconsciousness

Hamilton

Zhang

2017

Brain Struct Funct

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“…MEG has been used to study cortico-muscular coherence (Airaksinen et al, 2015) and predict dementia in PD (Olde Dubbelink et al, 2014b). MEG has also been used to study functional connectivity alterations in PD (Olde Dubbelink et al, 2013, 2014a; Ponsen et al, 2013). …”

Section: Neuroimaging Methodsmentioning

confidence: 99%

Neuroimaging of Parkinson's disease: Expanding views

Weingarten

Sundman

Hickey

et al. 2015

Neuroscience & Biobehavioral Reviews

139

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Advances in molecular and structural and functional neuroimaging are rapidly expanding the complexity of neurobiological understanding of Parkinson’s disease (PD). This review article begins with an introduction to PD neurobiology as a foundation for interpreting neuroimaging findings that may further lead to more integrated and comprehensive understanding of PD. Diverse areas of PD neuroimaging are then reviewed and summarized, including positron emission tomography, single photon emission computed tomography, magnetic resonance spectroscopy and imaging, transcranial sonography, magnetoencephalography, and multimodal imaging, with focus on human studies published over the last five years. These included studies on differential diagnosis, co-morbidity, genetic and prodromal PD, and treatments from L-DOPA to brain stimulation approaches, transplantation and gene therapies. Overall, neuroimaging has shown that PD is a neurodegenerative disorder involving many neurotransmitters, brain regions, structural and functional connections, and neurocognitive systems. A broad neurobiological understanding of PD will be essential for translational efforts to develop better treatments and preventive strategies. Many questions remain and we conclude with some suggestions for future directions of neuroimaging of PD.

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“…23 The MEG study involved an earlier phase of the disease, i.e., the 4-year period preceding the 3-year follow-up period of the present fMRI study. The changes in MEG-derived functional connectivity were correlated with motor and cognitive deterioration.…”

Section: Relation Between Functional Connectivity and Clinicalmentioning

confidence: 99%

“…23,24 Apparently, increased synchronization might only take place in early disease stages, possibly serving as a compensatory mechanism in order to maintain normal functionality. Previous MEG studies have revealed increases in functional connectivity in PD, in particular at early disease stages.…”

Section: Relation Between Functional Connectivity and Clinicalmentioning

confidence: 99%