Book of abstracts - British Neuroscience Association
Book of abstracts - British Neuroscience Association
Book of abstracts - British Neuroscience Association
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33.06<br />
FMR-Adaptation reveals a view-invariant representation for<br />
familiar faces in the fusiform face area<br />
Andrews T, Ewbank M<br />
Department <strong>of</strong> Psychology, University <strong>of</strong> York, York UK, MRC<br />
Cognition and Brain Sciences Unit, Cambridge UK<br />
Recognising complex objects, such as faces, is a simple and effortless<br />
process for most human observers. However, as we move about or as<br />
gaze or expression change, the size and shape <strong>of</strong> the face image on<br />
the retina also changes. To facilitate recognition, the visual system<br />
must take into account these sources <strong>of</strong> variation. The aim <strong>of</strong> this<br />
study was to explore whether face recognition is dependent on a<br />
viewpoint-dependent or viewpoint-invariant neural representation.<br />
Using the technique <strong>of</strong> fMR-adaptation, we measured the MR<br />
response to repeated images <strong>of</strong> the same face. We report that activity<br />
in the face-selective FFA was reduced following repeated<br />
presentations <strong>of</strong> the same face. This adaptation was similar for both<br />
familiar and unfamiliar faces. To establish if the neural representation<br />
<strong>of</strong> faces in the FFA was invariant to changes in viewpoint, we varied<br />
the viewing angle <strong>of</strong> the face between successive presentations. We<br />
found that adaptation to familiar faces was apparent across all<br />
changes in viewpoint. In contrast, we found signficant adaptation in<br />
the FFA to unfamiliar faces only occurred when the viewing angle<br />
between successive images was 2 degrees or less. Face-selective<br />
regions in the superior temporal lobe failed to adapt to repeated<br />
presentations <strong>of</strong> the same face. These results are consistent with<br />
cognitive models <strong>of</strong> face perception that predict a view-invariant neural<br />
representation underlies the recognition <strong>of</strong> familiar faces.<br />
34.01<br />
3-D alterations in ultrastructure <strong>of</strong> dendritic spines and postsynaptic<br />
densities after LTP and LTD induction in dentate gyrus <strong>of</strong> awake rats.<br />
Medvedev N I 1, Doyere V 2, Davies H A 1, Rodriguez J J 1, Dallérac G 2,<br />
Gabbott P L 1, Laroche S 2, Kraev I V 1,3, Popov V I 1,3, Stewart M G 1<br />
1The Open University, Milton Keynes, UK; 2 NAMC, CNRS-UMR8620,<br />
Univ. Paris Sud, Orsay, France; 3Institute <strong>of</strong> Cell Biophysics, Russian<br />
Academy <strong>of</strong> Sciences, Pushchino, RF<br />
Using serial ultrathin sections, 3-D reconstructions <strong>of</strong> synapses and<br />
dendritic spines in dentate gyrus (DG) were prepared following induction <strong>of</strong><br />
long-term potentiation (LTP) or heterosynaptic long-term depression (LTD)<br />
in awake rats. Control rats were pseudo-tetanized, or LTP was blocked by<br />
i.p. injection <strong>of</strong> the NMDA-receptor antagonist D,L-3[(+/-)-2-<br />
carboxypiperazin-4-yl]-propyl-1-phosphonic acid (CPP). Animals were<br />
perfused intracardially 24h later and brains prepared for electron<br />
microscopy. 3-D reconstructions enabled quantitative structural changes in<br />
dendritic spines and postsynaptic densities (PSDs) to be defined in inner,<br />
middle and outer molecular layers <strong>of</strong> the DG. A novel method enabled<br />
calculation <strong>of</strong> curvature <strong>of</strong> PSDs in each serial section. No significant<br />
changes were found in either synapse density or proportion <strong>of</strong> 4 synapse<br />
classes (thin, mushroom, stubby and shaft). However significant increases<br />
in both volume and surface area <strong>of</strong> thin spines and PSDs were found in<br />
LTP compared to control and CPP-treated animals. There was a significant<br />
reduction in volume <strong>of</strong> mushroom spines in CPP-treated animals compared<br />
to LTP and control rats. A significant reduction in concavity <strong>of</strong> spine PSD<br />
area was observed in all layers <strong>of</strong> the DG for thin and mushroom spines in<br />
LTP and LTD animals, but not CPP treatment. In LTD animals, there was a<br />
more marked reduction in concavities. Both LTP and LTD animals showed<br />
spinule growth on spine heads in all three layers examined (blocked with<br />
CPP). These data suggest substantial remodelling <strong>of</strong> large dendritic spines<br />
24h after induction <strong>of</strong> LTP and/or LTD. Supported by EU FPVI Promemoria<br />
programme # 512012<br />
34.02<br />
Neuronal network oscillations in primary motor cortex<br />
Naoki Yamawaki, Gavin L. Woodhall, Ian M. Stanford<br />
School <strong>of</strong> Life and Health Sciences, Aston University, Birmingham<br />
Parkinson’s disease (PD) is associated with abnormal synchronization<br />
<strong>of</strong> neuronal network oscillations at theta (4-10Hz) and beta (15-30Hz)<br />
frequency bands across nuclei <strong>of</strong> the basal ganglia (BG) (Brown et al.,<br />
2001 J. Neurosci. 21(3):1033-8). Deep brain stimulation <strong>of</strong> specific BG<br />
nuclei appears to reduce these pathological activities, thereby<br />
alleviating PD symptoms. Recently, direct stimulation <strong>of</strong> primary motor<br />
cortex (M1) has also been shown to be effective in reducing symptoms<br />
in an animal model <strong>of</strong> PD, indicating that the cortex may pattern these<br />
pathological rhythms through its connections with BG (Drouot et al.,<br />
2004 Neuron 44(5):769-78). Here we examined properties <strong>of</strong> the M1<br />
network oscillations in vitro. Co-application <strong>of</strong> the glutamate receptor<br />
agonist kainic acid (400nM) and muscarinic receptor agonist carbachol<br />
(50μM) induced oscillatory activity at beta frequencies in all layers<br />
(e.g. layer 5, 27.8 ± 1.1Hz, n=6).<br />
Dual extracellular recordings, local application <strong>of</strong> TTX and microsections<br />
indicate that the activity in superficial layers is strongly<br />
influenced by that within deep layers V/VI. All oscillations were<br />
abolished by the GABAA receptor antagonist picrotoxin and<br />
modulated by pentobarbital and zolpidem indicating dependence on<br />
networks <strong>of</strong> GABA interneurons. High frequency stimulation (125Hz) in<br />
superficial layers tended to generate gamma oscillations (incidence<br />
95%, 62.2 ± 5.6Hz, n=19) whereas stimulation at 4Hz led to a higher<br />
incidence <strong>of</strong> theta oscillation (62.5%, 5.4 ± 0.5Hz, n=12). Often<br />
evoked oscillations were observed within the same recording and at<br />
the same time as the pharmacologically induced beta oscillation<br />
suggesting that they are generated by different interneuron<br />
populations.<br />
34.03<br />
The electrode-brain interface in deep brain stimulation is modulated<br />
by systemic and local physiological factors: A 3-dimensional<br />
computational model<br />
Yousif N, Richard Bayford, Xuguang Liu<br />
1. Movement Disorder and Neurostimulation Unit, Department <strong>of</strong> Clinical<br />
<strong>Neuroscience</strong>, Division <strong>of</strong> <strong>Neuroscience</strong> and Mental Health, Imperial<br />
College London;, 2. Bio-modelling/Bio-informatics Group, Department <strong>of</strong><br />
Biomedical Science, Institute <strong>of</strong> Social and Health Research, Middlesex<br />
University<br />
Deep brain stimulation (DBS) is a widely used clinical treatment for various<br />
neurological disorders, and particularly movement disorders. However, the<br />
mechanism by which these high frequency electrical pulses act on<br />
underlying neuronal activity is not understood. Once the stimulating<br />
electrode is placed in situ, an electrode-brain interface (EBI) is created. We<br />
used computational modelling to construct a three-dimensional model <strong>of</strong><br />
the EBI using the finite element method to compensate for the clinical<br />
restrictions on the study <strong>of</strong> EBI in situ. In this way both the structural details<br />
and the biophysical properties <strong>of</strong> the EBI are retained. We focussed on<br />
systemic and local, and dynamic physiological and pathological modulation<br />
<strong>of</strong> the EBI, specifically by brain pulsation and giant cell formation. Our<br />
results show that the EBI is influenced by both the systemic and the local<br />
physiological factors. We find that there is a linear correlation between<br />
cerebral blood perfusion and the magnitude <strong>of</strong> the potential distribution<br />
induced in the tissue surrounding the electrode. Furthermore, giant cell<br />
growth at the EBI creates a ‘shielding effect’, which impedes the flow <strong>of</strong><br />
current to the surrounding tissue. These results provide a quantitative<br />
assessment <strong>of</strong> the current flow in the brain tissue surrounding the<br />
implanted DBS electrode, the effects <strong>of</strong> the EBI on the current spreading<br />
under physiological conditions, and consequently on the therapeutic effect<br />
<strong>of</strong> DBS.<br />
The project was supported by MRC grants (id 71766 and 78512)<br />
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