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Book of abstracts - British Neuroscience Association

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44.01<br />

Functional-pharmacological MRI in drug discovery<br />

James M F, Pohlmann A, Barjat H, Tilling L, Upton N, Schwarz AJ,<br />

Bifone A<br />

Neurology & GI and Psychiatry CEDDs, GlaxoSmithKline, Harlow UK,<br />

Verona Italy<br />

Pharmacological magnetic resonance imaging (phMRI) is used to<br />

detect, most commonly, blood oxygenation level dependent (BOLD) or<br />

blood volume (CBV) changes in the cerebral vasculature following the<br />

administration <strong>of</strong> a brain-penetrating compound. The compound<br />

evokes a metabolic response that is detected in repetitive images as a<br />

change from the baseline condition that also differs from the response<br />

to control vehicle. The technique builds on 2-deoxyglucose uptake<br />

experiments that first localised drug effects in the conscious rat brain<br />

(J McCulloch and colleagues). Three elements <strong>of</strong> the experiment are<br />

crucial: 1) expert animal preparation to provide stable physiology – the<br />

choice and dose <strong>of</strong> anaesthetic is very important; 2) sensitive MR<br />

imaging to yield contrast changes without motion; 3) sufficiently<br />

sensitive statistical techniques – with good understanding <strong>of</strong> their<br />

functionality. From a drug discovery perspective, phMRI is potentially<br />

valuable as an in vivo pharmacodynamic marker <strong>of</strong> central activity;<br />

especially for agents whose effects otherwise require complex<br />

behavioural assays. The BOLD-phMRI technique is also potentially<br />

translatable to humans. However, despite its increasing use, the<br />

question <strong>of</strong> how animal phMRI findings reflect activity in the human<br />

brain remains relatively unexplored. In humans, the use <strong>of</strong><br />

pharmacological challenges with task-based functional MRI (fMRI) has<br />

been preferred, particularly for cognition-enhancing agents. Brain<br />

perfusion measurement with techniques such as arterial spin labelling<br />

in conjunction with fMRI may provide insight into human phMRI<br />

responses in future. This talk will use results from methodological<br />

studies in GSK to highlight the problems and possibilities <strong>of</strong> phMRI for<br />

drug discovery.<br />

44.02<br />

Probing serotonin and glutamate actions on the brain in vivo:<br />

pharmacological challenge fMRI in animal models and human<br />

volunteers<br />

Williams S, McKie S, Stark J, Davies K, Luckman S, Bill Deakin<br />

Imaging Science and Biomedical Engineering, 2<strong>Neuroscience</strong> and<br />

Psychiatry Unit and 3Faculty <strong>of</strong> Life Sciences; Oxford Rd; University <strong>of</strong><br />

Manchester; Manchester M13 9PT<br />

Functional magnetic resonance imaging (fMRI) is one <strong>of</strong> the most important<br />

techniques used in cognitive neurosciences to relate brain structure to<br />

function and to elucidate brain processing networks. Conventionally a task<br />

(cognitive or motor) or sensory input (visual, auditory, somatic) is used to<br />

stimulate regional brain activity, but in the last few years pharmacological<br />

stimuli have also been used. We have used pharmacological-challenge<br />

fMRI (pMRI) to investigate the direct effects on the brain <strong>of</strong> serotinergic and<br />

glutamatergic drugs. In both rats and man, we have used the antidepressant<br />

m-chlorophenylpiperazine (a 5HT2c agonist) as a challenge<br />

and identified brain areas which respond to the drug. We showed that these<br />

regions are related to post mortem receptor distribution in man and to c-Fos<br />

expression in rats. Combined antagonist challenges were used to tease out<br />

the receptor sub-types activated in the rat. Ketamine has been used as a<br />

glutamatergic challenge and we have detected de-activations in the limbic<br />

system which correlated with subjective ‘dissociative’ effects <strong>of</strong> ketamine,<br />

as reported by the participants. Combining ketamine with pre-dosing by<br />

lamotrigine, which blocks glutamate-activated Na+ channels, we were able<br />

to distinguish brain areas where ketamine acts by inhibiting NMDA<br />

receptors, and where it acts by increasing glutamate release leading to<br />

stimulation <strong>of</strong> AMPA receptors. Most <strong>of</strong> the effects <strong>of</strong> ketamine were<br />

antagonized by lamotrigine, suggesting that the drug acts mainly by<br />

stimulating glutamate release.<br />

44.03<br />

Modulating neuronal and haemodynamic responses: coupling<br />

and uncoupling<br />

Sibson N<br />

Head <strong>of</strong> Experimental Neuroimaging, Department <strong>of</strong> Physiology,<br />

Anatomy & Genetics, Sherrington Building, Parks Rd, Oxford, OX1<br />

3PT, , , Head <strong>of</strong> Experimental Neuroimaging, Department <strong>of</strong><br />

Physiology, Anatomy & Genetics, Sherrington Building, Parks Rd,<br />

Oxford, OX1 3PT,<br />

We have adapted a model described for somatotopically mapping the<br />

hindpaw pathway from the cortex to the brainstem to enable direct<br />

cortical stimulation (DCS) <strong>of</strong> the rodent brain within a high-field<br />

magnetic resonance imaging (MRI) system. Unilateral electrical<br />

stimulation <strong>of</strong> the rat hindpaw motor cortex yields BOLD (blood<br />

oxygenation level dependent) and CBV (cerebral blood volume) fMRI<br />

signal changes not only in the electrically stimulated motor cortex, but<br />

also in the functionally connected homotypic contralateral motor<br />

cortex, both the ipsilateral and contralateral secondary somatosensory<br />

cortices and striatal areas in both hemispheres. Since activation is<br />

observed in multiple brain regions with disparate neuronal<br />

architecture, the DCS model <strong>of</strong>fers a useful approach for investigating<br />

regional differences in drug action. By combining the BOLD and CBV<br />

fMRI approaches we can potentially obtain additional information on<br />

metabolism, since the BOLD signal is a composite <strong>of</strong> both<br />

haemodynamic and metabolic responses. We have used this<br />

approach to determine the effect <strong>of</strong> a metabotropic glutamate type 5<br />

receptor (mGluR5) antagonist, MPEP, on neuronal and<br />

haemodynamic responses to stimulation. MPEP caused significant<br />

reductions in both the BOLD and CBV fMRI responses to DCS across<br />

all brain regions, although the magnitude <strong>of</strong> this effect varied between<br />

cortical and striatal areas. Electrophysiological recordings<br />

demonstrated no effect <strong>of</strong> MPEP on neuronal responses to DCS,<br />

suggesting uncoupling <strong>of</strong> the haemodynamic response to neuronal<br />

activation. We propose that this experimental approach provides a<br />

means <strong>of</strong> dissecting the consequences <strong>of</strong> drugs on neuronal activity,<br />

perfusion and metabolism across multiple brain regions<br />

simultaneously.<br />

44.04<br />

Analysis <strong>of</strong> pMRI data with blind source separation<br />

Schiessl I<br />

Faculty <strong>of</strong> Life Sciences, Jacksons Mill, The University <strong>of</strong> Manchester,<br />

Sackville St, Manchester M60 1QD,<br />

Most Functional magnetic resonance imaging (fMRI) experiments involve<br />

controlled delivery <strong>of</strong> stimuli (e.g. visual, auditory, somatosensory) or<br />

require the subject to undertake specific cognitive tasks. More recently<br />

fMRI methods have been used to monitor direct effects <strong>of</strong> neuroactive<br />

substances on the brain, so-called pharmacological challenge fMRI (pMRI).<br />

This approach brings the methodology into a more clinical domain with the<br />

possibility to characterise effects <strong>of</strong> drugs, provide biomarkers <strong>of</strong> effect and<br />

help to understand the neurochemical basis <strong>of</strong> diseases. However,<br />

although these methods have considerable potential there is uncertainty as<br />

to the most appropriate methods <strong>of</strong> analysis. The problem in the analysis <strong>of</strong><br />

pharmacological challenge pMRI arises from the fact that because <strong>of</strong> the<br />

long time it takes to return to baseline <strong>of</strong>ten only one trial per session is<br />

available for analysis. Standard hypothesis driven analysis methods <strong>of</strong> fMRI<br />

data statistically test the time course <strong>of</strong> voxels against a model hypothesis.<br />

An alternative approach is the exploratory analysis <strong>of</strong> data Independent<br />

Component Analysis (ICA) to find common statistical features. We use an<br />

ICA algorithm called Extended Spatial Decorrelation (ESD) to improve the<br />

analysis <strong>of</strong> pMRI data. The ESD algorithm is based on the assumption that<br />

(i) the original spatial prototype patterns are mutually uncorrelated but auto<br />

correlated, and (ii) that correlations also vanish between sources that are<br />

shifted by any non zero vector with respect to each other. Therefore the<br />

ESD algorithm exploits the spatial structure within and between the original<br />

sources that are underlying the recorded mixture to separate them.<br />

Page 68/101 - 10/05/2013 - 11:11:03

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