Relating MEG measured motor cortical oscillations to resting γ-Aminobutyric acid (GABA) concentration

Gaetz, William; Edgar, J. Christopher; Wang, D.J.; Roberts, Timothy P.L.

doi:10.1016/j.neuroimage.2010.12.077

Cited by 268 publications

(266 citation statements)

References 25 publications

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“…This relationship was also shown by ). Gaetz and colleagues (Gaetz et al, 2011) reported similar effects in the motor system: participants performed a button press task and the frequency of gamma oscillations was positively correlated with GABA/NAA. In addition, the amplitude of the PMBR was positively correlated with GABA/NAA.…”

Section: Meg and Mrs Studiesmentioning

confidence: 85%

“…Studies relating MEG responses to neurotransmitters have focussed mainly on gammaaminobutyric acid (GABA) , Gaetz et al, 2011. Muthukumaraswamy et al ) found a significant positive correlation between peak frequency of induced gamma band oscillations in visual cortex (in response to a stationary grating) and baseline GABA concentration in the occipital lobe ( Figure 5).…”

Section: Meg and Mrs Studiesmentioning

confidence: 99%

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The relationship between MEG and fMRI

et al. 2014

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In recent years functional neuroimaging techniques such as fMRI, MEG, EEG and PET have provided researchers with a wealth of information on human brain function. However none of these modalities can measure directly either the neuro-electrical or neuro-chemical processes that mediate brain function. This means that metrics directly reflecting brain 'activity' must be inferred from other metrics (e.g. magnetic fields (MEG) or haemodynamics (fMRI)). To overcome this limitation, many studies seek to combine multiple complementary modalities and an excellent example of this is the combination of MEG (which has high temporal resolution) with fMRI (which has high spatial resolution). However, the full potential of multi-modal approaches can only be truly realised in cases where the relationship between metrics is known. In this paper, we explore the relationship between measurements made using fMRI and MEG. We describe the origins of the two signals as well as their relationship to electrophysiology. We review multiple studies that have attempted to characterise the spatial relationship between fMRI and MEG, and we also describe studies that exploit the rich information content of MEG to explore differing relationships between MEG and fMRI across neural oscillatory frequency bands. Monitoring the brain at "rest" has become of significant recent interest to the neuroimaging community and we review recent evidence comparing MEG and fMRI metrics of functional connectivity. A brief discussion of the use of magnetic resonance spectroscopy (MRS) to probe the relationship between MEG/fMRI and neurochemistry is also given. Finally, we highlight future areas of interest and offer some recommendations for the parallel use of fMRI and MEG.

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Section: Meg and Mrs Studiesmentioning

confidence: 85%

Section: Meg and Mrs Studiesmentioning

confidence: 99%

The relationship between MEG and fMRI

et al. 2014

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“…Peak gamma frequency has been shown to be stable over time, and also to be highly heritable (van Pelt, Boomsma, & Fries, 2012), therefore peak gamma frequency may represent a more useful way to investigate E/I balance in human participants. Some studies have shown that visuallyinduced peak gamma frequency is correlated with resting GABA levels in occipital cortex Gaetz, Edgar, Wang, & Roberts, 2011;Muthukumaraswamy et al, 2009) although others have failed to replicate this relationship (Cousijn et al, 2014;Saxena et al, 2013). The technical difficulty in measuring GABA concentration in vivo with MRS and the different scan parameters used in these studies may contribute to the lack of convergence in results, Nevertheless, peak gamma frequency elicited by visual stimuli has been found to be higher in ASD (Dickinson et al, 2016), and correlated with autistic traits in the neurotypical population (Dickinson, Bruyns-Haylett, Jones, & Milne, 2015).…”

Section: High Frequency Neural Oscillations (Gamma-band Activity)mentioning

confidence: 99%

Measuring neural excitation and inhibition in autism: Different approaches, different findings and different interpretations

2016

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The balance of neural excitation and inhibition (E/I balance) is often hypothesised to be altered in autism spectrum disorder (ASD). One widely held view is that excitation levels are elevated relative to inhibition in ASD. Understanding whether, and how, E/I balance may be altered in ASD is important given the recent interest in trialling pharmacological interventions for ASD which target inhibitory neurotransmitter function.Here we provide a critical review of evidence for E/I balance in ASD. We conclude that data from a number of domains provides support for alteration in excitation and inhibitory neurotransmission in ASD, but when considered collectively, the available literature provide little evidence to support claims for either a net increase in excitation or a net increase in inhibition. Strengths and limitations of available techniques are considered, and directions for future research discussed.3

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“…It is generally agreed that oscillations in the EEG gamma band (30-90 Hz) depend on the rhythmic activity of local networks of GABAergic interneurons via their synchronizing effects on the output of glutamatergic excitatory neurons (Mann and Mody 2010). Three recent human studies of visual and motor cortices have reported a significant positive correlation between GABA content as measured by 1H-MRS using a MEGA-PRESS sequence and the frequency of evoked activity in the EEG gamma band Muthukumaraswamy et al 2009;Gaetz et al 2011). Two psychophysical studies have shown that performance on visual tasks mediated by the activity of GABAergic interneurons is significantly correlated with GABA content in the primary visual cortex as measured by 1H-MRS using a MEGA-PRESS sequence Yoon et al 2010a).…”

Section: Gabamentioning

confidence: 99%

MR Spectroscopic Studies of the Brain in Psychiatric Disorders

Maddock

Buonocore

2011

Current Topics in Behavioral Neurosciences

226

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The measurement of brain metabolites with magnetic resonance spectroscopy (MRS) provides a unique perspective on the brain bases of neuropsychiatric disorders. As a context for interpreting MRS studies of neuropsychiatric disorders, we review the characteristic MRS signals, the metabolic dynamics,and the neurobiological significance of the major brain metabolites that can be measured using clinical MRS systems. These metabolites include N-acetylaspartate(NAA), creatine, choline-containing compounds, myo-inositol, glutamate and glutamine, lactate, and gamma-amino butyric acid (GABA). For the major adult neuropsychiatric disorders (schizophrenia, bipolar disorder, major depression, and the anxiety disorders), we highlight the most consistent MRS findings, with an emphasis on those with potential clinical or translational significance. Reduced NAA in specific brain regions in schizophrenia, bipolar disorder, post-traumatic stress disorder, and obsessive–compulsive disorder corroborate findings of reduced brain volumes in the same regions. Future MRS studies may help determine the extent to which the neuronal dysfunction suggested by these findings is reversible in these disorders. Elevated glutamate and glutamine (Glx) in patients with bipolar disorder and reduced Glx in patients with unipolar major depression support models of increased and decreased glutamatergic function, respectively, in those conditions. Reduced phosphomonoesters and intracellular pH in bipolar disorder and elevated dynamic lactate responses in panic disorder are consistent with metabolic models of pathogenesis in those disorders. Preliminary findings of an increased glutamine/glutamate ratio and decreased GABA in patients with schizophrenia are consistent with a model of NMDA hypofunction in that disorder. As MRS methods continue to improve, future studies may further advance our understanding of the natural history of psychiatric illnesses, improve our ability to test translational models of pathogenesis, clarify therapeutic mechanisms of action,and allow clinical monitoring of the effects of interventions on brain metabolicmarkers

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Relating MEG measured motor cortical oscillations to resting γ-Aminobutyric acid (GABA) concentration

Cited by 268 publications

References 25 publications

The relationship between MEG and fMRI

The relationship between MEG and fMRI

Measuring neural excitation and inhibition in autism: Different approaches, different findings and different interpretations

MR Spectroscopic Studies of the Brain in Psychiatric Disorders

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