Dynamic connectivity laterality of the amygdala under negative stimulus in depression: A MEG study

Lü, Qing; Wang, Yi; Luo, Guoping; Li, Haoran; Yao, Zhijian

doi:10.1016/j.neulet.2013.05.002

Cited by 36 publications

(8 citation statements)

References 40 publications

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“…For example, David et al (2011) explored the brain circuitry deep in subcortical sources by introducing a definition of hidden sources, which clearly confirmed the validity of exploring deep subcortical source via MEG. Thereafter, reconstructed MEG signals were utilized to explore the impaired prefrontal-amygdala connectivity (Lu et al, 2012) and the lateralized dynamic connectivity of the amygdale to ACC (Lu et al, 2013) in patients with depression. Hereto, we should suggest the possibility and validity of exploring deep subcortical regions via MEG and its application can be enlarged along with the development of source reconstruction methodologies.…”

Section: Discussionmentioning

confidence: 99%

Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings

Lü

Chu

et al. 2013

Brain Research

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Section: Discussionmentioning

confidence: 99%

Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings

Lü

Chu

et al. 2013

Brain Research

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“…A small r or l in front of the regions indicates if the finding was on the left (l) or right (r) hemisphere. The study by Lu et al 104 used MEG; the study by Shajahan et al 43 used SPECT. l, left, r, right (if provided by the original work).…”

Section: Figurementioning

confidence: 99%

Neuronal connectivity in major depressive disorder: a systematic review

Helm

Viol

Weiger

et al. 2018

NDT

125

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BackgroundThe causes of major depressive disorder (MDD), as one of the most common psychiatric disorders, still remain unclear. Neuroimaging has substantially contributed to understanding the putative neuronal mechanisms underlying depressed mood and motivational as well as cognitive impairments in depressed individuals. In particular, analyses addressing changes in interregional connectivity seem to be a promising approach to capture the effects of MDD at a systems level. However, a plethora of different, sometimes contradicting results have been published so far, making general conclusions difficult. Here we provide a systematic overview about connectivity studies published in the field over the last decade considering different methodological as well as clinical issues.MethodsA systematic review was conducted extracting neuronal connectivity results from studies published between 2002 and 2015. The findings were summarized in tables and were graphically visualized.ResultsThe review supports and summarizes the notion of an altered frontolimbic mood regulation circuitry in MDD patients, but also stresses the heterogeneity of the findings. The brain regions that are most consistently affected across studies are the orbitomedial prefrontal cortex, anterior cingulate cortex, amygdala, hippocampus, cerebellum and the basal ganglia.ConclusionThe results on connectivity in MDD are very heterogeneous, partly due to different methods and study designs, but also due to the temporal dynamics of connectivity. While connectivity research is an important step toward a complex systems approach to brain functioning, future research should focus on the dynamics of functional and effective connectivity.

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“…The detection of significant CMC~10 Hz has been improved using a novel statistical procedure based on the EEG-EMG cross-spectrum (Bigot et al, 2011). This statistical procedure is particularly relevant to detect truly significant corticomuscular interactions when the number of contractions is small (Lu et al, 2013;Pedrosa et al, 2014). In healthy people, CMC~10 Hz is supposed to reflect complex two-way communication between cortical and muscles structures (Raethjen et al, 2002(Raethjen et al, , 2007Budini et al, 2014).…”

Section: Decreased Cmc~10 Hz Is Correlated With Increased Muscle Co-amentioning

confidence: 99%

Impaired corticomuscular coherence during isometric elbow flexion contractions in humans with cervical spinal cord injury

Crémoux

Tallet

Maso

et al. 2017

Eur J of Neuroscience

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After spinal cord injury (SCI), the reorganization of the neuromuscular system leads to increased antagonist muscles' co-activation-that is, increased antagonist vs. agonist muscles activation ratio-during voluntary contractions. Increased muscle co-activation is supposed to result from reduced cortical influences on spinal mechanisms inhibiting antagonist muscles. The assessment of the residual interactions between cortical and muscles activity with corticomuscular coherence (CMC) in participants with SCI producing different force levels may shed new lights on the regulation of muscle co-activation. To achieve this aim, we compared the net joint torque, the muscle co-activation and the CMC ~ 10 and ~ 20 Hz with both agonist and antagonist muscles in participants with SCI and healthy participants performing actual isometric elbow flexion contractions at three force levels. For all participants, overall CMC and muscle co-activation decreased with the increase in the net joint torque, but only CMC ~ 10 Hz was correlated with muscle co-activation. Participants with SCI had greater muscle co-activation and lower CMC ~ 10 Hz, at the highest force levels. These results emphasize the importance of CMC as a mechanism that could take part in the modulation of muscle co-activation to maintain a specific force level. Lower CMC ~ 10 Hz in SCI participants may reflect the decreased cortical influence on spinal mechanisms, leading to increased muscle co-activation, although plasticity of the corticomuscular coupling seems to be preserved after SCI to modulate the force level. Clinically, the CMC may efficiently evaluate the residual integrity of the neuromuscular system after SCI and the effects of rehabilitation.

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Dynamic connectivity laterality of the amygdala under negative stimulus in depression: A MEG study

Cited by 36 publications

References 40 publications

Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings

Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings

Neuronal connectivity in major depressive disorder: a systematic review

Impaired corticomuscular coherence during isometric elbow flexion contractions in humans with cervical spinal cord injury

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