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Front. Hum. Neurosci., 03 August 2009
Sec. Brain Imaging and Stimulation
Volume 3 - 2009 |

Perfusion imaging of the right perisylvian neural network in acute spatial neglect

Section of Neuropsychology, Center of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, Tübingen, Germany
Recent studies have suggested a tightly connected perisylvian neural network associated with spatial neglect. Here we investigated whether structural damage in one part of the network typically is accompanied with functional damage in other, structurally intact areas of this network. By combining normalized fluid-attenuated inversion-recovery (FLAIR) imaging, diffusion-weighted imaging (DWI), and perfusion-weighted imaging (PWI) we asked whether or not lesions centering on fronto-temporal regions co-occur with abnormal perfusion in structurally intact parietal cortex. With thresholds applied to delineate behaviourally relevant malperfusion of brain tissue, the analysis of normalized time-to-peak (TTP) and maximal signal reduction (MSR) perfusion maps did not reveal significant changes outside the area of structural damage. In particular, we found no abnormal perfusion in the structurally intact inferior parietal lobule (IPL) and/or the temporo-parietal junction (TPJ). The present results obtained in three consecutively admitted neglect patients with fronto-temporal lesions indicate that structural damage in one part of the right perisylvian network associated with spatial neglect does not necessarily require dysfunction by malperfusion in other, structurally intact parts of the network to provoke spatial neglect. The neural tissue in the fronto-temporal cortex appears to have an original role in processes of spatial orienting and exploration.


Like aphasia after left hemisphere damage, spatial neglect is the most frequent and debilitating disorder after right hemisphere stroke (Heilman et al., 1983 ; Karnath and Zihl, 2003 ). Patients with spatial neglect typically show spontaneous deviation of the head and the eyes towards the ipsilesional, right side (Fruhmann-Berger and Karnath, 2005 ) and disregard objects and persons located on the contralesional, left side. When searching for targets such patients concentrate their exploratory movements predominantly on the right side of space (Behrmann et al., 1997 ; Heilman et al., 1983 ; Karnath, 1994 ; Karnath and Zihl, 2003 ).
Different cortical and subcortical areas have been reported as neural correlates of spatial neglect. Cortical damage to the right inferior parietal lobule (IPL) and temporo-parietal junction (TPJ) (Heilman et al., 1983 ; Leibovitch et al., 1998 ; Mort et al., 2003 ; Vallar and Perani, 1986 ), the inferior frontal gyrus (IFG) (Heilman and Valenstein, 1972 ; Husain and Kennard, 1996 ; Samuelsson et al., 1997 ; Stein and Volpe, 1983 ) as well as the superior temporal cortex and the right insula (Buxbaum et al., 2004 ; Committeri et al., 2007 ; Corbetta et al., 2005 ; Karnath et al., 2001 , 2004 ; Sarri et al., 2009 ) have been related to spatial neglect. Furthermore, subcortical damage to the right basal ganglia and to the thalamus has been observed with the disorder (Karnath et al., 2002 ; Vallar and Perani, 1986 ). In the latter case it has been suggested that the dysfunction of cortical areas provoked by these subcortical lesions induce the behavioural disturbance (Hillis et al., 2002 , 2005 ; Karnath et al., 2005 ).
Different possibilities have been discussed to explain the varying anatomical findings. Some accounts have postulated network explanations (Corbetta et al., 2005 ; Karnath, 2009 ; Thiebaut de Schotten et al., 2005 ). It has been suggested that the found cortical areas might form a functional network related to spatial orienting behaviour. The existence of such a network has been supported by the finding that the frontal, parietal and temporal areas in the human brain are densely connected by several white matter pathways (Catani et al., 2007 ; Gharabaghi et al., 2009 ). These regions surround the sylvian fissure – hence this network is also known as perisylvian network (Karnath, 2009 ). Activation of this network in spatial orienting and exploration tasks has been shown using functional magnetic imaging (fMRI) in healthy subjects (Himmelbach et al., 2006 ; Hopfinger et al., 2000 ).
If we assume that damage to the perisylvian network causes spatial neglect, several different locations of damage or combinations thereof could be possible provoking the disorder. One possibility that has recently been investigated is that damage of white matter pathways connecting cortical areas of the perisylvian network can be associated with spatial neglect (Bartolomeo et al., 2007 ; He et al., 2007 ; Karnath et al., 2009 ; Mesulam, 1981 ; Thiebaut de Schotten et al., 2005 ). A further possibility is that damage to the cortical grey matter regions in the perisylvian network is the main cause for spatial neglect (Karnath, 2009 ; Karnath et al., 2009 ). Furthermore, such structural damage could lead to functional deficits in other cortical networks and thus to spatial neglect (Corbetta et al., 2005 ).
The aim of the current study was to test the possibility that structural damage in one part of the perisylvian network may be accompanied with functional damage in other, structurally intact areas of this network. Especially for the acute stage of stroke, it is well-known that in addition to the morphologically damaged brain tissue further brain regions may be intact in structural magnetic resonance imaging (MRI) but malperfused and thus dysfunctional. Malperfusion has been found to be present even several days after stroke onset (Perez et al., 2006 ). In the malperfused areas normal supply of nutrients and oxygen to the brain is disturbed (Astrup et al., 1981 ; Schlaug et al., 1999 ), possibly due to diaschisis (Infeld et al., 1995 ) or to vascular dysfunction. Thus, we were interested to see whether spatial neglect typically requires malfunction of particular parts of or the entire perisylvian network, independently of where the structural damage is located within this network. Using perfusion-weighted imaging (PWI) we investigated perfusion abnormalities in patients with cortical stroke lesions showing spatial neglect. In contrast to structural MRI, PWI depicts brain regions that are structurally intact, but show abnormalities in blood supply. In particular, we asked whether lesions centering on non-parietal, i.e. superior temporal, insular, or inferior frontal regions, co-occur with abnormal perfusion in the structurally intact parietal regions IPL and/or TPJ when patients show spatial neglect.

Materials and Methods


Three spatial neglect patients with a circumscribed, ischaemic stroke in the right hemisphere consecutively admitted to the Center of Neurology were included in the study. Only patients without known prior history of stroke were included. In addition, we excluded patients if older lesions were visible on the obtained structural images. All patients gave their informed consent to participate in the study, which has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and was approved by the local ethics committee (Ethik-Kommission der Medizinischen Fakultät, Eberhards-Karls-Universität, Tübingen, Germany). Patients with subcortical lesions without cortical involvement were excluded. Since stenoses are known to produce false-positive depictions of perfusion deficits, especially in time-to-peak perfusion images (Yamada et al., 2002 ), we also excluded those patients with a haemodynamically relevant stenosis in the internal carotid arteries, i.e. ≥70%, demonstrated by Doppler sonography. Demographic and clinical data of the patients are given in Table 1 .

Clinical Investigation

Spatial neglect was diagnosed when the patient exhibited one of the typical clinical behaviours, such as spontaneous eye and head orientation towards the right (Fruhmann-Berger and Karnath, 2005 ), orientation towards the ipsilateral side when addressed from the front or the left, or ignoring of contralesionally located people or objects. In addition, all patients were further assessed with the following three clinical tests: the ‘Letter cancellation’ task, the ‘Bells test’ and a copying task. Neglect patients had to fulfill the criterion for spatial neglect in at least two of these tests. (i) The Letter Cancellation Task (Weintraub and Mesulam, 1985 ): A horizontally oriented 21 × 29.7 cm sheet of paper was presented to the patients on which 60 target letters ‘A’ are distributed amid distractors; 30 targets on the right half of the page and 30 on the left. Patients were asked to cancel all of the targets. The number of targets found is reported for the left and right side of the page. Patients were classified as suffering from spatial neglect when they omitted at least five left-sided targets. (ii) The Bells Test (Gauthier et al., 1989 ): The task consists of seven columns each containing five targets (bells) amid 40 distractors. Three of the seven columns (=15 targets) are on the left side of a horizontally oriented 21 × 29.7 cm sheet of paper, one is in the middle and three are on the right (=15 targets). Again patients are asked to cancel all of the targets, and the number of targets found was reported. More than five left-sided target omissions were taken to indicate neglect. (iii) Copying Task (Johannsen and Karnath, 2004 ): Patients were asked to copy a complex multi-object scene consisting of four figures (a fence, a car, a house, and a tree), two in each half of a horizontally oriented 21 × 29.7 cm sheet of paper. Omission of at least one of the left-sided features of each figure was scored as one point, and omission of each whole figure was scored as two points. One additional point was given when left-sided figures were drawn on the right side. The maximum score was eight. A score higher than one (i.e. >12.5% omissions) was taken to indicate neglect. Visual field defects and pareses were assessed using standardized neurological examinations.

MR Imaging and Analysis

For the depiction of structurally lesioned brain tissue we used diffusion-weighted imaging (DWI) imaging within the first 48 h post-stroke and T2-weighted fluid-attenuated inversion-recovery (FLAIR) sequences when imaging was conducted 48 h or later after stroke onset (Brant-Zawadzki et al., 1996 ; Noguchi et al., 1997 ; Ricci et al., 1999 ; Schaefer et al., 2002 ). The mean time between stroke and imaging used for the present analyses was 4.7 (range 0–8) days in the neglect group. Scans were obtained on a 1.5-T echoplanar imaging (EPI) capable system (Magnetom Sonata, Siemens, Erlangen, Germany). The FLAIR sequence was acquired with 72 axial slices (thickness 1 mm; interslice gap 1 mm), a field of view (FOV) of a 192 × 256 mm2, matrix 192 × 256 pixels, repetition time (TR) of 9310 ms and an echo time (TE) of 122 ms. DWI was performed with a single-shot EPI spin echo sequence (TR 3200 ms; TE 87 ms; FOV 230 × 230 mm2; matrix 128 × 128 pixels; slice thickness 5 mm; gap 1mm; b-values of 0, 500 and 1000 s/mm2). The boundary of the lesion was delineated directly on the individual MRI image for every single transverse slice using MRIcro software (Rorden and Brett, 2000 ) 1 . In order to illustrate the common region of structurally lesioned brain tissue, both the scan and lesion shape were then transferred into stereotaxic space using the spatial normalization algorithm provided by SPM2 2 . For determination of the transformation parameters, cost-function masking was employed (Brett et al., 2001 ).
Dysfunctional brain tissue due to abnormal perfusion was visualized using PWI (Belliveau et al., 1990 ) performed in the same scanning session as the structural scan. Fifty repetitions of perfusion-weighted EPI sequences (TR 1440 ms; TE 47 ms; FOV 230 × 230 mm2; matrix 128 × 128; 12 axial slices; slice thickness 5 mm; gap 1 mm) were obtained with gadolinium diethyl triamineene pentaacetic acid (Gd-DTPA) bolus power injected at a rate of 3–5 ml/s. The amount of bolus used depended on the body-weight of the subject. To detect possible brain areas of dysfunction we analysed two different perfusion variables: the arrival time of blood in the brain tissue (TTP) as well as the amount of blood flow (MSR). The time-to-peak (TTP) represents the time at which the largest signal drop occurs in the signal intensity curve with respect to the first image. TTP maps are generated directly from the signal intensity curves and do not rely on deconvoluting algorithms or the choice of adequate input functions (Calamante et al., 2002 ; Thijs et al., 2004 ). A further marker for abnormal perfusion is the amount of blood flow reaching the different regions of the brain. This parameter is depicted by the cerebral blood flow (CBF) value and the closely related maximum signal reduction (MSR) value, which also can be calculated directly from the signal intensity curve (Klose et al., 1999 ; Liu et al., 2002 ). The ratio between grey and white substance in MSR maps is 2.47:1 (Häussler et al., 1992 ) and thus is similar to that found for CBF. This indicates good comparability of MSR with CBF measures (Klose et al., 1999 ). MSR represents the extent of signal drop standardized by the baseline signal intensity (images which are recorded before contrast agent is given) (Cha et al., 2000 ; Klose et al., 1999 ; Liu et al., 2002 ). MSR is also designated as maximal signal drop (MSD) (Cha et al., 2000 ; Liu et al., 2002 ).
In order to identify common regions of perfusion abnormality, the PWI volumes were spatially realigned and then transferred into stereotaxic space using the spatial normalization algorithm provided by SPM2 (Figure 1 ). The normalized TTP and MSR maps were spatially smoothed with a Gaussian filter of 2 mm. For SPM normalization, we used a template featuring symmetrical left–right hemispheres (cf. Aubert-Broche et al., 2003 ). Subsequently voxel-wise inter-hemispheric comparisons were performed for each individual before extracting perfusion deficit volumes. This method takes regional biases for perfusion parameters into account, as each region is compared voxel-by-voxel to its mirrored region, thereby comparing homologous regions and avoiding a region-specific bias (cf. Karnath et al., 2005 ). For the normalized TTP maps, we subtracted from each voxel of the affected right hemisphere its mirrored voxel in the unaffected left hemisphere. Similarly, we divided each voxel of the affected hemisphere in the normalized MSR map by its mirrored voxel in the unaffected hemisphere. For depiction of perfusion abnormalities we defined different thresholds for TTP delays of ≥3 s, ≥1.5 s and ≥0 s (note that these thresholds were defined on the basis of our PWI scanning time resolution), as well as for MSR fractions of ≤40%, ≤70%, and ≤100%. For example the TTP delay of ≥3 s indicates a delay in blood arrival of 3 s or more and the MSR fraction of ≤40% indicates that the amount of blood flow is reduced to 40% or less, both compared to the homologous region in the left hemisphere. The resulting maps are denoted ‘TTP delay maps’ and ‘MSR fraction maps’ in the following.
Figure 1. Example from one patient’s normalized diffusion-weighted imaging (DWI) as well as time-to-peak (TTP) and maximal signal reduction (MSR) perfusion maps.


Figure 2 presents the normalized DWI/FLAIR data. The maximum of lesion overlap for the patient group with spatial neglect centred on the superior temporal gyrus (STG), insula, IFG, pre- and postcentral gyri, and underlying white matter.
Figure 2. (A) Overlay plots and lateral surface views of the normalized DWI/FLAIR lesions for the patient group with spatial neglect. The number of overlapping areas are illustrated by different colours coding increasing frequencies from violet (n = 1) to red (n = 3). On the lateral surface view, >33.3% indicates that with respect to our sample at least two patients had lesioned tissue in this area and >66.6% indicates that all patients had a lesion in this area. (B) Normalized DWI/FLAIR lesions for individual patients with spatial neglect. MNI z-coordinates of the transverse sections are given.
Figure 3 illustrates the overlay plots for the perfusion abnormalities of the patient group with spatial neglect. For the lowest thresholds (TTP delay ≥ 0 s and MSR fraction ≤ 100%) significant overlap in many different regions is shown. This is due to the fact that with such low thresholds also regions are depicted that demonstrate no or only very small perfusion differences between the hemispheres. As the thresholds increase (TTP delay ≥ 1.5 s and MSR fraction ≤ 70%), the areas of overlap became smaller. Small areas of significant overlap were found in the insula for TTP and in the STG, IFG, insula, operculum and postcentral gyrus for MSR. For the next higher thresholds (TTP delays ≥ 3 s and MSR fraction ≤ 40%) significant centers of overlap were no longer observed.
Figure 3. Patient group with spatial neglect. Overlay plots of (A) the normalized maps of TTP delays ≥ 3 s, ≥1.5 s, and ≥0 s as well as (B) the normalized maps for MSR fractions ≤ 40%, ≤70%, and ≤100%. The number of overlapping areas are illustrated by different colours coding increasing frequencies from violet (n = 1) to red (n = 3). MNI z-coordinates of the transverse sections are given.
In order to directly compare those areas showing structural damage (Figure 2 ) with those showing abnormal perfusion (Figure 3 ), we determined the area of mismatch between DWI/FLAIR and PWI abnormalities, i.e. the zones of structurally intact but dysfunctional neural tissue (Figure 4 ). For this comparison we used TTP delays ≥ 3 s and MSR fractions ≤ 40% as thresholds. The reason was that previous work on crossed cerebellar diaschisis has shown that not all observed perfusion abnormalities are necessarily functionally relevant to the observed behaviour (Infeld et al., 1995 ). Previous studies have suggested that these values represent the thresholds for delineating behaviourally relevant malperfusion of brain tissue. For example, TTP delays > 2.5 s in Wernicke’s area were associated with language dysfunction (Hillis et al., 2001 ), and the functional impairment of stroke patients correlated best with the volume of PWI abnormality for TTP delays ≥ 4 s (Neumann-Haefelin et al., 1999 ). For MSR fractions, no specific correlations between inter-hemispheric and behavioural deficits have been reported so far. However, since MSR is closely related to relative cerebral blood flow (rCBF) in stroke patients (Klose et al., 1999 ; Liu et al., 2002 ), the MSR fraction threshold was based on the observation that for rCBF the averaged values of 37% and 43% (relative to unaffected contralesional tissue) characterize best the penumbra, i.e. the non-functional but salvageable tissue, surrounding the infarct (Neumann-Haefelin et al., 2000 ; Schlaug et al., 1999 ). These MSR-based fraction values are also in agreement with CBF thresholds derived from positron emission tomography studies. The mean CBF in normal brain tissue is approximately 50 ml/100 g/min, while functional impairment occurs at flow thresholds of around 20 ml/100 g/min, i.e. when the CBF is reduced to about 40% (for a review, see Baron, 2001 ).
Figure 4. Overlay plots showing the common regions of structurally intact but malperfused brain tissue for the patient group with spatial neglect. (A) The mismatch between TTP ≥ 3.0 s delay maps and DWI/FLAIR. (B) The mismatch between MSR ≤ 40% fraction maps and DWI/FLAIR. The number of overlapping areas are illustrated by different colours coding increasing frequencies from violet (n = 1) to red (n = 3). MNI z-coordinates of the transverse sections are given.
For each subject we subtracted the normalized DWI/FLAIR map from (i) the normalized TTP delay map and (ii) from the normalized MSR fraction map. Figure 4 shows the superimposed mismatch maps. For the neglect patients, only few voxels in single patients (violet colour in Figure 4 indicates n = 1 subject) were found to be malperfused though structurally intact (Figure 4 ).
In sum, the analysis of neglect patients’ perfusion data did not reveal a systematic involvement of dysfunctional cortical brain areas in addition to the ones found to be structurally damaged. The comparison of those areas showing structural damage with those which were malperfused suggested large portions of overlap between the two.


The present study used normalized PWI to identify abnormally perfused cortical tissue in three consecutively admitted patients with spatial neglect. We investigated if structural damage in one part of the right perisylvian network associated with spatial neglect is necessarily accompanied with functional damage in other, structurally intact areas of this network. With thresholds applied to delineate behaviourally relevant malperfusion of brain tissue, we found no significant mismatch between structural lesion and abnormal perfusion in our neglect patients. The analysis of malperfused tissue as depicted by normalized TTP and MSR maps did not reveal significant perfusion changes outside the area of structural damage.
Stroke patients with perfusion deficits that were mainly matched by or were smaller than the actual structural lesion also were observed in a study by Restrepo et al. (2005) . These authors investigated the aetiology of brain ischemia in 130 patients using DWI and PWI. Restrepo and co-workers found perfusion abnormalities which were smaller than (‘negative’ DWI/PWI mismatch) or matched the region of structural damage in 51% of the patients. A mismatch with a larger area of malperfusion compared to the DWI lesions (‘positive’ DWI/PWI mismatch) was noted in the remaining portion of the sample. Restrepo et al. (2005) found that a ‘positive’ mismatch was associated with ‘large-artery atherosclerosis’. The latter was defined as stenosis of a major (intra- or extracranial) artery > 50%. Large-artery atherosclerosis increased the odds of a positive mismatch by a factor of four, indicating that malperfusion which extends the area of structural damage is likely to occur with a major artery stenosis > 50%. Also, Yamada et al. (2002) observed that haemodynamically relevant stenoses of the intracerebral artery (ICA) produce depictions of perfusion deficits, especially in TTP perfusion images.
To avoid false-positive depictions of abnormal cortical perfusion due to ICA stenoses rather than due to the cortical strokes, the present study excluded patients with haemodynamically relevant stenoses of the ICA. Under these conditions we found that structural damage centering on non-parietal, i.e. superior temporal, insular, or inferior frontal regions, is not necessarily accompanied by significant perfusion deficits outside of the lesion territory. In particular, we found no significant abnormal perfusion in the structurally intact parietal regions IPL and/or TPJ. Structural damage in one part of the perisylvian network obviously does not necessarily require dysfunction by malperfusion in other, structurally intact parts of the network to provoke spatial neglect. The neural tissue in the fronto-temporal cortex appears to have an original role in processes of spatial orienting and exploration.
Obviously, this is systematically different for subcortical lesions. In clear contrast to our present findings on cortical stroke, patients with spatial neglect following subcortical lesions showed large perfusion deficits in structurally intact cortical areas of the perisylvian network, while subcortical stroke patients without neglect did not show such perfusion abnormalities (Hillis et al., 2002 , 2005 ; Karnath et al., 2005 ). These findings suggested that spatial neglect due to subcortical stroke is evoked by dysfunction of structurally intact cortical areas rather than through the neuronal loss in the subcortical structures itself.
We would like to point out that our present conclusions are based on a small sample size. Therefore, we do not intend to exclude the possibility that a cortical lesion combined with a large perfusion deficit extending the borders of the lesion territory may also be observed in association with cortical spatial neglect. Nevertheless, the present cases of consecutively admitted patients with spatial neglect and fronto-temporal lesions demonstrate at least that such additional malperfusion in structurally intact regions of the perisylvian network is not an absolutely required condition if patients show spatial neglect after a cortical lesion. Nevertheless, future studies are necessary to further investigate this conclusion.
PWI is used to assess abnormalities in blood supply task-independently. It has been shown that the size and location of the tissue with abnormal perfusion identified by PWI correlates well with stroke patients’ behavioural dysfunction (Baird et al., 2000 ; Barber et al., 1998 ; Beaulieu et al., 1999 ; Hillis et al., 2001 ; Neumann-Haefelin et al., 1999 ; Tong et al., 1998 ). In contrast to PWI, BOLD activation in fMRI is mainly studied in combination with a specific task. Thus, it may well be that although we found no perfusion deficits in areas outside the region of structural damage such areas could still show specific, task-dependent functional deficits. For example, Corbetta et al. (2005) used a Posner-like covert attentional shifting task in patients with lesions centering on the TPJ, STG, insula, frontal operculum, putamen and white matter. They observed that spatial neglect as well as recovery of spatial neglect was associated with task-related disturbances and restorations of the BOLD signal in ventral temporo-parietal and dorsal parietal areas. However, it has also been shown that in stroke patients the BOLD signal can be abnormal in brain regions without functional deficits (Rossini et al., 2004 ).
In conclusion, we observed that structural damage in one part of the right perisylvian network associated with spatial neglect does not necessarily require dysfunction by malperfusion in other, structurally intact parts of the network to provoke spatial neglect. Lesions centering on superior temporal, insular, and inferior frontal regions were not accompanied by significant perfusion deficits outside of the lesion territory, particularly not in the intact IPL and/or TPJ. Future studies are required to specifically look at structural damage to the grey and white matter as well as at task-dependent and task-independent functional deficits in subjects with cortical strokes at different stages following stroke-onset.

Conflict of Interest Statement

We declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


This work was supported by the Bundesministerium für Bildung und Forschung (BMBF-Verbundprojekt “Räumliche Orientierung” 01GW0641) and the Deutsche Forschungsgemeinschaft (SFB 550-A4).



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spatial neglect, perfusion-weighted imaging, superior temporal cortex, parietal cortex, right perisylvian neural network, magnetic resonance imaging
Zopf R, Fruhmann Berger M, Klose U and Karnath H-O (2009). Perfusion imaging of the right perisylvian neural network in acute spatial neglect. Front. Hum. Neurosci. 3:15. doi: 10.3389/neuro.09.015.2009
07 February 2009;
 Paper pending published:
07 April 2009;
15 July 2009;
 Published online:
03 August 2009.

Edited by:

Chris Rorden, University of South Carolina, USA

Reviewed by:

Jonathan Kleinman, Johns Hopkins, USA
Rik R. Vandenberghe, University Hospitals Leuven, Belgium; Katholieke Universiteit Leuven, Belgium
© 2009 Zopf, Fruhmann Berger, Klose and Karnath. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
Regine Zopf, Macquarie Centre for Cognitive Science, Macquarie University, NSW 2109, Australia. e-mail: