Baseline GABA concentration and fMRI response

Donahue, Manus J.; Near, Jamie; Blicher, Jakob Udby; Jezzard, Peter

doi:10.1016/j.neuroimage.2010.07.017

Cited by 160 publications

(183 citation statements)

References 61 publications

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“…The developmental switch in GABA from excitatory to inhibitory reportedly occurs in the weeks following term delivery, consistent with a decline in NKCC1 expression and increases in the Cl - -extruding K + -Cl - co-transporter, KCC2. The negative correlation between ICD and R frontal GABA demonstrated by the control subjects in this study mimics that found in adults,[25-27] suggesting a delay in maturation in the prematurely-born. [28]…”

Section: Discussionsupporting

confidence: 81%

GABA, Resting-State Connectivity and the Developing Brain

Kwon¹,

Mayes²,

Lacadie³

et al. 2014

Neonatology

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Background: Preclinical data demonstrate that gamma-aminobutyric acid (GABA) interneurons initiate connectivity in the developing brain. Objectives: The goal of this study was to compare GABA concentration and its relationship to functional connectivity in the brains of term and preterm infants at term-equivalent age. Methods: Infants received both magnetic resonance spectroscopy (MRS) and functional magnetic resonance imaging (fMRI) scans at term-equivalent age. Whole brain functional connectivity MRI data using intrinsic connectivity distribution maps were compared to identify areas with differences in resting-state functional connectivity between the preterm and term control groups. MRS measured concentrations of GABA, glutamate, N-acetyl-aspartate (NAA) and choline; NAA/choline was then calculated for comparison between the 2 groups. Results: Preterm infants had lower right frontal GABA and glutamate concentrations than term controls and showed a significantly different relationship between connectivity and GABA concentration in the right frontal lobe. Preterm infants had a positive correlation between GABA concentration and connectivity, while term controls demonstrated a negative correlation between these two developmentally regulated parameters. Conclusion: These results suggest that regional GABA concentrations are associated with normal and altered neonatal resting-state connectivity.

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Section: Discussionsupporting

confidence: 81%

GABA, Resting-State Connectivity and the Developing Brain

Kwon¹,

Mayes²,

Lacadie³

et al. 2014

Neonatology

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“…Meanwhile, cortical GABA concentration was found to be inversely correlated with blood oxygenation level dependent (BOLD) responses [53], suggesting that the excitation/inhibition cortical balance contributes to functional neuroimaging measures [54]. Likewise, Donahue et al [55] reported that GABA concentration in the visual cortex is inversely correlated with BOLD signal variations and with cerebral blood flow, suggesting a link between neurochemical and MRmeasured hemodynamic responses. Further, a recent study of seasonal depressive disorder using graph theory also showed group differences on the level of hub nodes in OCC [56].…”

Section: Discussionmentioning

confidence: 98%

Altered functional connectivity density in major depressive disorder at rest

Zhang

Qin

et al. 2015

Eur Arch Psychiatry Clin Neurosci

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Major depressive disorder is characterized by abnormal brain connectivity at rest. Currently, most studies investigating resting-state activity rely on a priori restrictions on specific networks or seed regions, which may bias observations. We hence sought to elicit functional alterations in a hypothesis-free approach. We applied functional connectivity density (FCD) to identify abnormal connectivity for each voxel in the whole brain separately. Comparing resting-state fMRI in 21 MDD patients and 23 matched healthy controls, we identified atypical connections for regions exhibiting abnormal FCD and compared our results to those of an independent component analysis (ICA) on networks previously investigated in MDD. Patients showed reduced FCD in mid-cingulate cortex (MCC) and increased FCD in occipital cortex (OCC). These changes in global FCD were driven by abnormal local connectivity changes and reduced functional connectivity (FC) toward the left amygdala for MCC, and increased FC toward the right supplementary motor area for OCC. The altered connectivity was not reflected in ICA comparison of the salience and visual networks. Abnormal FC in MDD is present in cingulate and OCC in terms of global FCD. This converges with previous structural and metabolic findings; however, these particular changes in connectivity would not have been identified using canonical seed regions or networks. This implies the importance of FC measures in the investigation of brain pathophysiology in depression.

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“…For example Muthukumaraswamy and co-workers ) measured BOLD responses to a static grating showing that BOLD change was negatively correlated with GABA concentration ( Figure 5). Donahue et al (Donahue et al, 2010) looked at BOLD, CBV and CBF responses to an 8Hz reversing checkerboard and baseline GABA in visual cortex. Significant negative correlation was seen between the BOLD signal change and GABA/Cr ratio, in agreement with Muthukumaraswamy.…”

Section: Bold and Mrs Studiesmentioning

confidence: 99%

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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Baseline GABA concentration and fMRI response

Cited by 160 publications

References 61 publications

GABA, Resting-State Connectivity and the Developing Brain

GABA, Resting-State Connectivity and the Developing Brain

Altered functional connectivity density in major depressive disorder at rest

The relationship between MEG and fMRI

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