Book of abstracts - British Neuroscience Association
Book of abstracts - British Neuroscience Association
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 />
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