Comparing GABA-­dependent physiological measures of inhibition with proton magnetic resonance spectroscopy measurement of GABA using ultra-­high-­field MRI

Imbalances in glutamatergic (excitatory) and GABA (inhibitory) signalling within key brain networks are thought to underlie many brain and mental health disorders, and for this reason there is considerable interest in investigating how individual variability in localised concentrations of these molecules relate to brain disorders. Magnetic resonance spectroscopy (MRS) provides a reliable means of measuring, in vivo, concentrations of neurometabolites such as GABA, glutamate and glutamine that can be correlated with brain function and dysfunction. However, an issue of much debate is whether the GABA observed and measured using MRS represents the entire pool of GABA available for measurement (i.e., metabolic, intracellular, and extracellular) or is instead limited to only some portion of it. GABA function can also be investigated indirectly in humans through the use of non-invasive transcranial magnetic stimulation (TMS) techniques that can be used to measure cortical excitability and GABA-mediated physiological inhibition. To investigate this issue further we collected in a single session both types of measurement, i.e., TMS measures of cortical excitability and physiological inhibition and ultra-high-field (7 Tesla) MRS measures of GABA, glutamate and glutamine, from the left sensorimotor cortex of the same group of right-handed individuals. We found that TMS and MRS measures were largely uncorrelated with one another, save for the plateau of the TMS IO curve that was negatively correlated with MRS-Glutamate (Glu) and intra-cortical facilitation (10ms ISI) that was positively associated with MRS-Glutamate concentration. These findings are consistent with the view that the GABA concentrations measured using MRS largely represent pools of GABA that are linked to tonic rather than phasic inhibition and thus contribute to the inhibitory tone of a brain area rather than GABAergic synaptic transmission

Investigating the long-term stability and neurochemical substrates of TMS and MRS

La stimulation magnétique transcrânienne (SMT) et la spectroscopie par résonance magnétique (SRM) sont des techniques non-invasives permettant de quantifier l’activité GABAergique et glutamatergique du cerveau. La SMT et la SRM ont plusieurs applications en clinique et en recherche. En effet, ces outils peuvent être utilisés afin de déterminer l’efficacité d’un traitement ou la progression d’un processus pathologique. Cependant, malgré leur utilisation croissante dans le domaine médical, une certaine incertitude demeure quant aux substrats neurochimiques de ces techniques et à la stabilité à long terme des données acquises par SMT et SRM. Donc, dans un premier temps, la stabilité à long terme de plusieurs mesures prises par SMT et par SRM a été étudiée. En second lieu, afin de mieux comprendre quelles composantes du système GABAergique sont ciblées par ces deux techniques, des mesures de SRM et de SMT ont été obtenues après l’administration d’une benzodiazépine, le lorazépam, selon un devis expérimental randomisé, croisé, à double-aveugle et contrôlé par placébo. Deux articles composent cette thèse. Le premier article fait état d’une étude longitudinale, auprès d’adultes en santé, ayant pour but de déterminer la stabilité à long terme des concentrations de GABA et de Glx (glutamate + glutamine) obtenues par SRM ainsi que la stabilité des mesures d’inhibition et de facilitation corticale obtenues par SMT (rMT : seuil moteur au repos, %MSO : pourcentage d’intensité maximale du stimulateur, SICI : inhibition intra-corticale courte, LICI : inhibition intra-corticale longue, ICF : facilitation intra-corticale). Il a été démontré que les niveaux de GABA et de Glx sont stables au cours d’une période de trois mois. Alors que les mesures SMT de seuil moteur au repos, d’excitabilité corticale et de période corticale silencieuse sont stables à travers le temps, l’inhibition corticale à court intervalle et à long intervalle ainsi que la facilitation corticale sont beaucoup plus variables. Le deuxième article vise à comprendre la dissociation dans la sensibilité des mesures de SMT et SRM à refléter différentes facettes de l’activité GABAergique du cortex moteur. L’article porte sur une étude dans laquelle du lorazépam a été administré à des participants adultes en santé selon un devis randomisé, croisé, à double-aveugle et contrôlé par placébo. Des données SRM (GABA et Glx; cortex sensorimoteur et occipital) ainsi que des mesures SMT (cortex moteur) ont été obtenues suivant l’administration de lorazépam (ou de placébo). Il a été démontré que la prise de lorazépam réduisait les niveaux de GABA occipitaux, augmentait l’inhibition corticale et réduisait l’excitabilité du cortex moteur. La prise de médicament n’avait pas d’effet sur les autres mesures obtenues. De plus, il a été trouvé que l’effet du traitement sur l’inhibition corticale dépendait des concentrations endogènes de GABA dans le cortex sensorimoteur; une plus grande concentration de GABA étant prédictive d’une plus grande inhibition corticale suivant la prise de lorazépam. Dans leur ensemble, les résultats provenant des deux articles présentés dans cette thèse permettent de conclure que les mesures SRM des divers neurométabolites sont stables à long terme dans le cortex moteur et pourraient potentiellement servir de marqueurs dans l’évaluation de l’efficacité d’un traitement ou de l’évolution de processus pathologiques. Par contre, bien que certaines mesures SMT soient stables à long terme (rMT, %MSO, CSP), d’autres sont beaucoup plus variables (SICI, LICI, ICF); ainsi, la prudence est conseillée dans l’interprétation de ces mesures lors d’études cliniques. De plus, les effets différents que produit la prise de lorazépam sur les mesures SRM et SMT supportent la théorie selon laquelle les deux techniques n’ont pas les mêmes substrats neurochimiques. En effet, alors que les mesures TMS d’inhibition corticale refléteraient l’activité phasique des récepteurs GABAA, le signal SRM de GABA serait majoritairement intracellulaire et ne représenterait pas la neurotransmission GABAergique.Transcranial magnetic stimulation (TMS) and magnetic resonance spectroscopy (MRS) are non-invasive techniques that allow the measurement of GABAergic and glutamatergic activity in the brain. TMS and MRS can be used to assess inhibitory and excitatory mechanisms, treatment response or disease presence and progression in vivo. However, despite their growing use in research and medical settings, ambiguity remains regarding their neurochemical substrates and long-term reproducibility. The goal of the present thesis is twofold. First, the long-term stability and reliability of various MRS and TMS measurements, obtained in the motor cortex, was investigated. Second, to better understand which aspects of the GABAergic network are targeted by the two techniques, TMS and MRS measures reflecting cortical inhibition and excitation were obtained following lorazepam administration using a placebo-controlled, double-blind, randomized, crossover design. Two articles comprise this thesis. The first article is a longitudinal assessment of the stability and reliability of MRS-GABA and Glx (glutamate + glutamine) and TMS measures of cortical inhibition and facilitation in the sensorimotor (SMC) cortex of healthy adults. It was determined that MRS-GABA and MRS-Glx are stable over a three-month interval. TMS measures of resting motor threshold (rMT), cortical excitability (% maximum stimulator output; MSO) and cortical silent period (CSP) were also found to be stable and reliable. However, paired-pulse TMS measures such as short-interval cortical inhibition (SICI), long-interval cortical inhibition (LICI) and intracortical facilitation (ICF) had greater variability. The second article aims to understand the differential sensitivity of TMS and MRS with respect to GABAergic activity in the primary motor cortex. It is based on the results and conclusions of a placebo-controlled, double-blind, randomized, crossover study, where benzodiazepine lorazepam was given to healthy adult volunteers. Magnetic resonance spectroscopy (GABA and Glx) was performed in the sensorimotor cortex and occipital cortex (OC). TMS measurements were acquired in the motor cortex only. MRS and TMS measures of cortical inhibition and excitability (rMT, input/output (I/O) curve, SICI, LICI, ICF, CSP) were obtained following lorazepam or placebo administration. Lorazepam was found to decrease occipital GABA concentration, increase motor cortical inhibition and decrease cortical excitability. Lorazepam administration had no effect on other neurometabolites or TMS measurements. The effect of Lorazepam on short-interval cortical inhibition was found to depend on endogenous GABA levels in the SMC; higher GABA concentrations predicted a greater increase in SICI following drug intake. Taken together, the studies presented in this thesis indicate that MRS neurometabolite levels are stable over time and may thus potentially serve as markers for the monitoring of disease progression and treatment response. However, while some TMS measures have good long-term stability (rMT, %MSO, CSP), others are not as reliable nor stable (SICI, LICI, ICF); care must be taken in clinical settings. Furthermore, the differential effects of lorazepam on MRS and TMS measures support the idea that the two techniques probe different aspects of the GABAergic system. Whereas TMS measures of cortical inhibition reflect phasic GABAA receptor activity, MRS-GABA primarily reflects intracellular, non-neurotransmitter metabolic GABA

Investigating the Cortical, Metabolic and Behavioral Effects of Transcranial Direct Current Stimulation in Preparation for Combined Rehabilitation

The goal of this thesis was to determine the cortical reorganization that occurs in patients with cervical spondylotic myelopathy (CSM) after surgical decompression and to implement this knowledge into a new rehabilitation strategy. Transcranial direct current stimulation (tDCS) is a non-invasive technique to modulate human behavior. Due to the novel electrode montage used, it was first pertinent that we determine how tDCS would modulate cortical, metabolic and motor behavior in healthy individuals. We observed the longitudinal functional adaptations that occur in patients with CSM using functional MRI. Enhanced excitation of supplementary motor area (SMA) was observed following surgical decompression and associated with increased function following surgery. This novel finding of enhanced excitation of motivated us to use a bihemispheric tDCS protocol, exciting bilateral motor areas to provide optimal motor enhancement. This novel tDCS electrode montage, targeting the SMA and primary motor cortex (M1) was implemented in healthy older adults to determine its effects on enhancing manual dexterity. Furthermore, to determine the frequency with which to apply tDCS, a single and tri session protocol was used. We observed a differential pattern of action with anti-phase and in-phase motor tasks during multisession tDCS. We used ultra-high field (7T) MRI to examined the metabolic changes that occur following tDCS. After the stimulation period we observed no significant metabolite modulation. A trend towards an increase in the NAA/tCr ratio, with a concomitant decrease in the absolute concentration of tCr was observed. Finally, we examined the functional connectivity before, during and after tDCS with the use of resting-state fMRI at 7T. We observed enhanced connectivity within right sensorimotor area after stimulation compared to during stimulation. This result confirmed that cortical modulations differ during versus after tDCS, signifying that optimal modulation of behaviour may be after the stimulation period. Furthermore, we observed an enhanced correlation between motor regions and the caudate, both during and after stimulation. In conclusion, we observed novel cortical adaptations in CSM patients after surgical decompression, which led us to believe that bihemispheric tDCS of M1-SMA network would result in optimal motor enhancement and warrants further investigation in CSM and other neurological disorders

Neurochemistry-enriched dynamic causal models of magnetoencephalography, using magnetic resonance spectroscopy

We present a hierarchical empirical Bayesian framework for testing hypotheses about neurotransmitters’ concertation as empirical prior for synaptic physiology using ultra-high field magnetic resonance spectroscopy (7T-MRS) and magnetoencephalography data (MEG). A first level dynamic causal modelling of cortical microcircuits is used to infer the connectivity parameters of a generative model of individuals’ neurophysiological observations. At the second level, individuals’ 7T-MRS estimates of regional neurotransmitter concentration supply empirical priors on synaptic connectivity. We compare the group-wise evidence for alternative empirical priors, defined by monotonic functions of spectroscopic estimates, on subsets of synaptic connections. For efficiency and reproducibility, we used Bayesian model reduction (BMR), parametric empirical Bayes and variational Bayesian inversion. In particular, we used Bayesian model reduction to compare alternative model evidence of how spectroscopic neurotransmitter measures inform estimates of synaptic connectivity. This identifies the subset of synaptic connections that are influenced by individual differences in neurotransmitter levels, as measured by 7T-MRS. We demonstrate the method using resting-state MEG (i.e., task-free recording) and 7T-MRS data from healthy adults. Our results confirm the hypotheses that GABA concentration influences local recurrent inhibitory intrinsic connectivity in deep and superficial cortical layers, while glutamate influences the excitatory connections between superficial and deep layers and connections from superficial to inhibitory interneurons. Using within-subject split-sampling of the MEG dataset (i.e., validation by means of a held-out dataset), we show that model comparison for hypothesis testing can be highly reliable. The method is suitable for applications with magnetoencephalography or electroencephalography, and is well-suited to reveal the mechanisms of neurological and psychiatric disorders, including responses to psychopharmacological interventions

No evidence for changes in GABA concentration, functional connectivity, or working memory following continuous theta burst stimulation over dorsolateral prefrontal cortex

Continuous theta burst stimulation (cTBS) is thought to reduce cortical excitability and modulate functional connectivity, possibly by altering cortical inhibition at the site of stimulation. However, most evidence comes from the motor cortex and it remains unclear whether similar effects occur following stimulation over other brain regions. We assessed whether cTBS over left dorsolateral prefrontal cortex altered gamma aminobutyric acid (GABA) concentration, functional connectivity and brain dynamics at rest, and brain activation and memory performance during a working memory task. Seventeen healthy individuals participated in a randomised, sham-controlled, cross-over experiment. Before and after either real or sham cTBS, magnetic resonance spectroscopy was obtained at rest to measure GABA concentrations. Functional magnetic resonance imaging (fMRI) was also recorded at rest and during an n-back working memory task to measure functional connectivity, regional brain activity (low-frequency fluctuations), and task-related patterns of brain activity. We could not find evidence for changes in GABA concentration (P = 0.66, Bayes factor [BF10] = 0.07), resting-state functional connectivity (P(FWE) > 0.05), resting-state low-frequency fluctuations (P = 0.88, BF10 = 0.04), blood-oxygen level dependent activity during the n-back task (P(FWE) > 0.05), or working memory performance (P = 0.13, BF10 = 0.05) following real or sham cTBS. Our findings add to a growing body of literature suggesting the effects of cTBS are highly variable between individuals and question the notion that cTBS is a universal ‘inhibitory’ paradigm

GABAergic cortical network physiology in frontotemporal lobar degeneration.

The clinical syndromes caused by frontotemporal lobar degeneration are heterogeneous, including the behavioural variant frontotemporal dementia (bvFTD) and progressive supranuclear palsy. Although pathologically distinct, they share many behavioural, cognitive and physiological features, which may in part arise from common deficits of major neurotransmitters such as γ-aminobutyric acid (GABA). Here, we quantify the GABAergic impairment and its restoration with dynamic causal modelling of a double-blind placebo-controlled crossover pharmaco-magnetoencephalography study. We analysed 17 patients with bvFTD, 15 patients with progressive supranuclear palsy, and 20 healthy age- and gender-matched controls. In addition to neuropsychological assessment and structural MRI, participants undertook two magnetoencephalography sessions using a roving auditory oddball paradigm: once on placebo and once on 10 mg of the oral GABA reuptake inhibitor tiagabine. A subgroup underwent ultrahigh-field magnetic resonance spectroscopy measurement of GABA concentration, which was reduced among patients. We identified deficits in frontotemporal processing using conductance-based biophysical models of local and global neuronal networks. The clinical relevance of this physiological deficit is indicated by the correlation between top-down connectivity from frontal to temporal cortex and clinical measures of cognitive and behavioural change. A critical validation of the biophysical modelling approach was evidence from parametric empirical Bayes analysis that GABA levels in patients, measured by spectroscopy, were related to posterior estimates of patients' GABAergic synaptic connectivity. Further evidence for the role of GABA in frontotemporal lobar degeneration came from confirmation that the effects of tiagabine on local circuits depended not only on participant group, but also on individual baseline GABA levels. Specifically, the phasic inhibition of deep cortico-cortical pyramidal neurons following tiagabine, but not placebo, was a function of GABA concentration. The study provides proof-of-concept for the potential of dynamic causal modelling to elucidate mechanisms of human neurodegenerative disease, and explains the variation in response to candidate therapies among patients. The laminar- and neurotransmitter-specific features of the modelling framework, can be used to study other treatment approaches and disorders. In the context of frontotemporal lobar degeneration, we suggest that neurophysiological restoration in selected patients, by targeting neurotransmitter deficits, could be used to bridge between clinical and preclinical models of disease, and inform the personalized selection of drugs and stratification of patients for future clinical trials

GABAergic cortical network physiology in frontotemporal lobar degeneration.

The clinical syndromes caused by frontotemporal lobar degeneration are heterogeneous, including the behavioural variant frontotemporal dementia (bvFTD) and progressive supranuclear palsy. Although pathologically distinct, they share many behavioural, cognitive and physiological features, which may in part arise from common deficits of major neurotransmitters such as γ-aminobutyric acid (GABA). Here, we quantify the GABAergic impairment and its restoration with dynamic causal modelling of a double-blind placebo-controlled crossover pharmaco-magnetoencephalography study. We analysed 17 patients with bvFTD, 15 patients with progressive supranuclear palsy, and 20 healthy age- and gender-matched controls. In addition to neuropsychological assessment and structural MRI, participants undertook two magnetoencephalography sessions using a roving auditory oddball paradigm: once on placebo and once on 10 mg of the oral GABA reuptake inhibitor tiagabine. A subgroup underwent ultrahigh-field magnetic resonance spectroscopy measurement of GABA concentration, which was reduced among patients. We identified deficits in frontotemporal processing using conductance-based biophysical models of local and global neuronal networks. The clinical relevance of this physiological deficit is indicated by the correlation between top-down connectivity from frontal to temporal cortex and clinical measures of cognitive and behavioural change. A critical validation of the biophysical modelling approach was evidence from parametric empirical Bayes analysis that GABA levels in patients, measured by spectroscopy, were related to posterior estimates of patients' GABAergic synaptic connectivity. Further evidence for the role of GABA in frontotemporal lobar degeneration came from confirmation that the effects of tiagabine on local circuits depended not only on participant group, but also on individual baseline GABA levels. Specifically, the phasic inhibition of deep cortico-cortical pyramidal neurons following tiagabine, but not placebo, was a function of GABA concentration. The study provides proof-of-concept for the potential of dynamic causal modelling to elucidate mechanisms of human neurodegenerative disease, and explains the variation in response to candidate therapies among patients. The laminar- and neurotransmitter-specific features of the modelling framework, can be used to study other treatment approaches and disorders. In the context of frontotemporal lobar degeneration, we suggest that neurophysiological restoration in selected patients, by targeting neurotransmitter deficits, could be used to bridge between clinical and preclinical models of disease, and inform the personalized selection of drugs and stratification of patients for future clinical trials

The relation between parietal GABA concentration and numerical skills

Several scientific, engineering, and medical advancements are based on breakthroughs made by people who excel in mathematics. Our current understanding of the underlying brain networks stems primarily from anatomical and functional investigations, but our knowledge of how neurotransmitters subserve numerical skills, the building block of mathematics, is scarce. Using 1H magnetic resonance spectroscopy (N = 54, 3T, semi-LASER sequence, TE = 32 ms, TR = 3.5 s), the study examined the relation between numerical skills and the brain's major inhibitory (GABA) and excitatory (glutamate) neurotransmitters. A negative association was found between the performance in a number sequences task and the resting concentration of GABA within the left intraparietal sulcus (IPS), a key region supporting numeracy. The relation between GABA in the IPS and number sequences was specific to (1) parietal but not frontal regions and to (2) GABA but not glutamate. It was additionally found that the resting functional connectivity of the left IPS and the left superior frontal gyrus was positively associated with number sequences performance. However, resting GABA concentration within the IPS explained number sequences performance above and beyond the resting frontoparietal connectivity measure. Our findings further motivate the study of inhibition mechanisms in the human brain and significantly contribute to our current understanding of numerical cognition's biological bases