Central Executive and Default Mode Network Intranet work Functional Connectivity Patterns in Chronic Migraine.
X Michelle Androulakis, Kaitlin A Krebs, Charmaine Jenkins, Nasim Maleki, Alan G Finkel, Chris Rorden, Roger Newman
Journal of neurological disorders 2018 DOI: 10.4172/2329-6895.1000393 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Post-hoc analysis of a case-control functional MRI study Peer reviewed |
|---|---|
| Sample size | 29 |
| Population | Adults with chronic migraine, with (n=16) and without (n=13) medication overuse headache, compared with healthy controls |
| Topics | Default mode network |
| Keywords | Central executive network Chronic migraine Functional MRI Medication overuse headache |
| Key findings | Node-to-node functional connectivity within the Central Executive Network was decreased in both chronic migraine groups, with more widespread disruption in chronic migraine with medication overuse headache than in chronic migraine without it. In the Default Mode Network, only the connection between the left lateral parietal cortex and precuneus/PCC was disrupted in the medication overuse subgroup. The authors propose these changes may reflect disrupted inhibitory control, risk aversion, reward processing, and top-down pain regulation. |
Abstract
The neural mechanisms of chronic migraine remain largely unknown but linked to the decreased connectivity to intrinsic brain networks. To characterize the intranetwork functional connectivity within the Central Executive Network (CEN) and Default Mode Network (DMN) in chronic migraine (CM), with and without medication overuse headache (MOH). Using functional magnetic resonance imaging, we performed post-hoc analysis of a total of 136 pairs of nodes to node functional connectivity (NTNC) within the CEN and 6 pairs of NTNC within the DMN in CM (n=13) and CMMOH (n=16) as compared to controls, and between these two subgroups. Connectivity between right ventrolateral prefrontal cortex (PFC) to contralateral anterior thalamus and connectivity between left dorsal PFC/frontal eye field (FEF) to dorsomedial PFC were decreased within the CEN in both CM and CMMOH subgroups. In the CEN, there was more widespread disruption in the CMMOH (n=16) versus CM (n=13), when compared to healthy controls. Within the subgroups, connectivity between right inferior frontal gyrus to left dorsolateral PFC was decreased in CMMOH compared to CM. In the DMN, only one NTNC (left lateral parietal to precuneus/PCC) was disrupted in the CMMOH group when compared to controls. There are similar patterns of NTNC dysfunction within CEN in CM regardless of MOH status. We observed more extensive intranetwork disruption in CMMOH than CM. The decreased coherence between the right inferior frontal gyrus and the left dorsolateral PFC in CMMOH is likely associated with a significant disruption in the inhibitory control and a maladaptive response in risk aversion and reward; whereas the decreased coherence between right dorsolateral and ventrolateral PFC to contralateral dorsal PFC/FEF may be related to lack of cognitive control and top-down regulation of pain in both CM and CMMOH.
Comparable studies
Other observational and cohort studies on default mode network, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| A default mode of brain function Normal adult human brain | 2001 | Observational study | |
| Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network Healthy subjects | 2008 | Observational cohort | |
| Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls | 2005 | Observational cohort | n = 20 |
| Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls | 2011 | Observational cohort | |
| The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis Healthy subjects | 2008 | Observational study |