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21 MAY 1998
26. Tanksley, S. D., Zamir, D. & Rick, C. M. Evidence for extensive overlap of sporophytic and
gametophytic gene expression in Lycopersicon esculentum. Science 213, 453455 (1981).
Acknowledgements. We thank B. Charlesworth for input, counsel and support, and J. Greenberg,
T. Morton and J. Mach for assistance with the manuscript. This work was supported by a grant from the
NIH (to D.C. and B. Charlesworth).
Correspondence and requests for materials should be addressed to D.S.G. (e-mail: dguttman@midway.
uchicago.edu).
Evidence for striatal dopamine
release during a video game
M. J. Koepp, R. N. Gunn, A. D. Lawrence, V. J. Cunningham,
A. Dagher, T. Jones, D. J. Brooks, C. J. Bench & P. M. Grasby
MRC Cyclotron Unit, Hammersmith Hospital, DuCane Road, London W12 0NN,
UK, and Division of Neuroscience and Psychological Medicine, Imperial College
School of Medicine, St Dunstan’s Road, London W6 8RP, UK
.........................................................................................................................
Dopaminergic neurotransmission may be involved in learning,
reinforcement of behaviour, attention, and sensorimotor
integration
1,2
. Binding of the radioligand
11
C-labelled raclopride
to dopamine D
2
receptors is sensitive to levels of endogenous
dopamine, which can be released by pharmacological challenge
3–8
.
Here we use
11
C-labelled raclopride and positron emission tomo-
graphy scans to provide evidence that endogenous dopamine is
released in the human striatum during a goal-directed motor task,
namely a video game. Binding of raclopride to dopamine recep-
tors in the striatum was significantly reduced during the video
game compared with baseline levels of binding, consistent with
increased release and binding of dopamine to its receptors. The
reduction in binding of raclopride in the striatum positively
correlated with the performance level during the task and was
greatest in the ventral striatum. These results show, to our
knowledge for the first time, behavioural conditions under
which dopamine is released in humans, and illustrate the ability
of positron emission tomography to detect neurotransmitter
fluxes in vivo during manipulations of behaviour.
We used
11
C-labelled raclopride (RAC) to detect changes in levels
of extracellular dopamine induced by a behavioural task. During the
first 50 minutes of a [
11
C]RACPET scan, eight male volunteers
played a video game, which involved learning to navigate a tank for a
monetary incentive. This task is comparable to tasks in animal
studies in which dopamine is released during the anticipatory or
appetitive phase of motivated behaviour, where dopamine is
involved in learning which environmental stimuli or actions predict
rewarding or aversive outcomes
2,911
. During a second [
11
C]RAC
PET scan, subjects looked at an empty screen. The scanning order
was randomized for each subject. Differences in [
11
C]RAC-binding
potential between scans were used to infer changes in levels of
extracellular dopamine
12,13
. Binding of [
11
C]RAC to dopamine D
2
receptors was measured in the ventral and dorsal striata, which are
areas involved in goal-directed motor behaviour
2,1416
.
Striatal [
11
C]RAC-binding potential was reduced (analysis of
variance (ANOVA) F ¼ 7:72, P , 0:01) during the video
game, particularly in the ventral striatum (Table 1). Our results
are compatible with a task-related increase in levels of extra-
cellular dopamine reducing the number of D
2
-receptor sites avail-
able for binding to [
11
C]RAC. The magnitude of change of
[
11
C]RAC-binding potential (ventral striatum mean, 13%; range,
+8 to 42%) was considerably greater than the reported ‘within
subject test/retest variation in striatal [
11
C]RAC-binding potential
(mean, 46%)
17,18
, and was similar to that observed following
intravenous injection of amphetamine
8
(striatum mean, 16%;
range, 3to24%) or methylphenidate
6
(striatum mean, 23%;
range, +3 to 46%). Microdialysis studies of non-human primates
Table 1 [
11
C]RAC-binding potential, relative tracer delivery and size of the region of interest in striatal regions
LD
B
LD
T
DLD
(%)
RD
B
RD
T
DRD
(%)
LV
B
LV
T
D LV
(%)
RV
B
RV
T
DRV
(%)
...................................................................................................................................................................................................................................................................................................................................................................
BP 2.47 2.23 8.9 2.38 2.22 6.1 2.22 1.93 11.8 2.27 1.92 13.9
(s.d.) (0.36) (0.42) (16.4) (0.34) (0.41) (16.1) (0.28) (0.33) (18.8) (0.31) (0.35) (20.5)
...................................................................................................................................................................................................................................................................................................................................................................
R
I
0.98 0.88 8.5 0.94 0.87 6.5 0.98 0.89 8.5 1.03 0.91 10.5
(s.d.) (0.13) (0.08) (13.8) (0.12) (0.07) (12.1) (0.12) (0.13) (14.4) (0.11) (0.12) (14.7)
...................................................................................................................................................................................................................................................................................................................................................................
ROI size 8,151 8,300 1.9 7,600 8,188 7.9 4,747 4,280 8.7 4,692 4,215 9.3
(s.d.) (711) (846) (8.2) (567) (574) (7.2) (628) (612) (16.2) (680) (691) (15.7)
...................................................................................................................................................................................................................................................................................................................................................................
BP, [
11
C]RAC-binding potential; R
I
, relative tracer delivery; ROI, region of interest (mm
3
); s.d., standard deviation; L, left; R, right; D, dorsal; V, ventral; B, baseline conditions; T, task conditions.
Changes in BP, R
I
and ROI size between conditions (D) are given as a percentage change from the baseline, calculated as: ðT 2 BÞ=B 3 100. R
I
was significantly decreased during the video
game (F ¼ 11:3, P ¼ 0:001), but reductions in R
I
were not correlated with reductions in BP (r
2
¼ 0:05, P ¼ 0:24). There was no difference in striatal ROI size across conditions (P ¼ 0:64) and no
correlation between changes of BP and ROI size (r
2
¼ 0:02, P ¼ 0:45), indicating that head movement probably did not contribute significantly to our results.
Figure 1 Mean timeactivity curves for [
11
C]RAC uptake, normalized for
radioactivity injected, for the four striatal ROIs and the reference region
(cerebellum). Data are given from time of radioligand injection to the end of
scanning period (up to 90 min). R, right; L, left.
Nature © Macmillan Publishers Ltd 1998
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letters to nature
NATURE
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21 MAY 1998 267
indicate that a 1% decrease in striatal [
11
C]RAC binding reflects at
least an 8% increase in extracellular endogenous dopamine levels
8
.
Thus, the 13% reduction in [
11
C]RAC-binding potential in the
ventral striatum reported here suggests at least a twofold increase in
levels of extracellular dopamine. Computer simulations have shown
that this magnitude of change should be detectable with [
11
C]RAC
PET
13
.
After 50 min, the game ended, but the timeactivity curves
(TACs) for [
11
C]RAC binding remained below the baseline curves
without convergence (Fig. 1). A similar effect has been reported
following pharmacological challenges
4,19
, and may simply reflect the
kinetic properties of [
11
C]RAC and the diffusion and re-uptake
kinetics of dopamine. Sustained alterations in dopamine concen-
trations after a period of behavioural manipulation have been
described in the rat
20
, providing a biological explanation for the
continued separation of the TACs for [
11
C]RAC binding after the
video game ended.
There was a significant correlation between performance level
achieved and reduced [
11
C]RAC-binding potential in all striatal
regions (Fig. 2); the significance of this correlation was confirmed by
an independent analysis using statistical parametric mapping
(SPM)
21
. SPM revealed that this significant correlation mainly
encompassed the ventral striatum, predominantly the left side
(Fig. 3). These results further validate the putative link between
the behavioural manipulation and dopamine release, and comple-
ment electrophysiological studies of behaviour in awake animals, in
which dopaminergic neurotransmission was associated with sen-
sorimotor functions related to rewarding, aversive and stressful
stimuli
1,22,23
. In monkeys, most dopaminergic neurons in the ventral
tegmental area and pars compacta are activated by unexpected
primary appetitive rewards and reward-predicting cues
1,9,15
.
Here, regional differences in [
11
C]RAC displacement within the
striatum might correlate with the role of dopamine in the dorsal and
ventral striata
2
. The dorsal striatum receives inputs from motor,
sensory, premotor, and dorsal prefrontal cortices
14,16
, whereas the
ventral striatum receives afferent inputs from orbitofrontal cortex,
amygdala, hippocampus, and anterior cingulate
14,16
. On the basis of
these anatomical connections, we interpret changes in ventral
striatal [
11
C]RAC binding to be related to affective components of
the task, whereas dorsal striatal dopamine release may be related to
sensorimotor coordination and response selection
2
. This new
method of detecting neurotransmitter release during behavioural
manipulation extends the success of brain-perfusion mapping in
humans to the study of a true cognitive neurochemistry of
behaviour’.
M
. . . .. . . . . . . .. .. . . . . .. .. . . .. .. . . . . . . .. . . . . . . .. .. . . .. .. . . . . . . .. . . . . . . .. .. . . .. .. .. . . .. .. . . .. . . .. . . . . .. . . . . . . .. .. . . . . . . .. . . . .
Methods
PET-scan acquisition. Eight healthy, male, right-handed volunteers (range
3646 years of age) took part in the study (approved by the local Ethics
Committee). Informed consent was obtained for all subjects. Each received two
[
11
]RAC–PET scans (total injected dose of 1620 mCi), one during the
behavioural task (video game) and one under baseline conditions (blank
screen). Subjects played the video game from 10 min before to 50 min after
[
11
C]RAC injection. PET scans were acquired on separate days using a 953B-
Siemens/CTI PET camera in three-dimensional mode. Head movement during
scanning was minimized by the use of a moulded head rest and external head
markings.
Behavioural task. The video game involved moving a ‘tank’ through a
‘battlefield’ on a screen using a mouse with the right hand. Subjects had to
collect ‘flags’ with the tank while destroying ‘enemy tanks’. Enemy tanks could
destroy the three ‘lives’ of the subjects’ tank. If subjects collected all flags, they
progressed to the next game level, which required more flags to be collected. A
reward of £7 was given per game level achieved.
Region-of-interest (ROI) analysis. TACs of [
11
C]RAC binding were derived
for ventral and dorsal striata and cerebellum. From these TACs, binding
potential (BP), and the relative rate of ligand delivery (R
I
) in the striatum
L ventral
-50
-40
-30
-20
-10
0
10
20
Change in binding potential (%)
L dorsal
R ventral
Level of performance
R dorsal
-50
-40
-30
-20
-10
0
10
20
-50
-40
-30
-20
-10
0
10
20
-50
-40
-30
-20
-10
0
10
20
01234567
01234567
0123456701234567
Figure 2 Percentage change in [
11
C]RAC-binding potential between task and
baseline conditions, plotted against performance level. A significant inverse
correlation is seen in all striatal regions (Spearman rank correlation coefficients
for left and right ventral and left dorsal striatum: r ¼ 2 0:86, P ¼ 0:017; right dorsal
striatum: r ¼ 2 0:83, P ¼ 0:020).
Figure 3 Regions of the brain in which there was a statistically significant
correlation between reduced [
11
C]RAC-BP and task performance; such a
correlation was more pronounced in the ventral striatum. Upper row, the
transverse and coronal glass brain views show those voxels with a significant
inverse correlation of [
11
C]RAC-BP with the highest performance level reached
(threshold for display, P , 0:05). Lower row, three-dimensional SPM projections
superimposed on representative transaxial and coronal magnetic resonance
image brain slices (threshold for display, P , 0:05).
Nature © Macmillan Publishers Ltd 1998
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letters to nature
268 NATURE
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21 MAY 1998
compared to the cerebellum were estimated using a simplified reference region
model
24,25
. The model derives BP from the ratio of the volumes of distribution
of the ligand in the striatum relative to the cerebellum. BP is a composite
function of parameters, as follows:
BP ¼
f
2
B
max
K
D
Tracer
1 þ
^
i
F
i
K
D
i
where B
max
is the total concentration of specific binding sites, K
D
Tracer
the
equilibrium dissociation constant of the ligand, f
2
is the ‘free fraction of
unbound ligand in the tissue, and F
i
and K
D
i
are the concentrations and
equilibrium dissociation constants, respectively, of i competing endogenous
ligands. Changes in BP are attributed to changes in F
i
for endogenous
dopamine. Striatal ROIs were outlined on an add-image of summated time
frames, using an edge-fitting algorithm set at a fixed threshold (40%) of the
image maximum. The ventral (comprising the ventral half of the putamen) and
dorsal (comprising the dorsal half of the putamen and the body of the caudate
nucleus) striata were operationally defined. The cerebellum was defined by
cluster analysis
26
. BP and R
I
values were calculated for the striatal ROIs using the
TACs for [
11
C]RAC binding up to 50 min after injection
25
. Differences in
[
11
C]RAC-BP at baseline and during the task were tested with repeated-
measure ANOVA, with three ‘within-subject’ factors (task versus baseline,
left versus right hemisphere and dorsal versus ventral striatum). Spearman rank
correlation coefficients were calculated for the relationship between changes in
[
11
C]RAC-BP and the highest performance level during the game for each ROI.
SPM analysis. Parametric images of [
11
C]RAC-BP
24
were analysed using
SPM96 (ref. 21). The [
11
C]RAC-R
I
images were used to define the stereotactic
transformation parameters for the [
11
C]RAC-BP images. Contrasts of the
condition effects at each voxel of the [
11
C]RAC-BP images were assessed
using the t-value, with the highest performance level entered as a covariate of
interest, giving a statistical image for each contrast.
Received 23 September 1997; accepted 20 March 1998.
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Acknowledgements. M.J.K. was supported by a grant from the Theodore and Vada Stanley Foundation
ResearchProgram; R.N.G., V.J.C., D.J.B. and P.M.G. were supported by the Medical Research Council; and
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Theroleofdendritesinauditory
coincidence detection
Hagai Agmon-Snir*, Catherine E. Carr
& John Rinzel*
* Mathematical Research Branch, NIDDK, National Institutes of Health,
Bethesda, Maryland 20892, USA
Department of Zoology, University of Maryland, College Park,
Maryland 20742, USA
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Coincidence-detector neurons in the auditory brainstem of mam-
mals and birds use interaural time differences to localize
sounds
1,2
. Each neuron receives many narrow-band inputs from
both ears and compares the time of arrival of the inputs with an
accuracy of 10100 ms (refs 36). Neurons that receive low-
frequency auditory inputs (up to about 2 kHz) have bipolar
dendrites, and each dendrite receives inputs from only one
ear
7,8
. Using a simple model that mimics the essence of the
known electrophysiology and geometry of these cells, we show
here that dendrites improve the coincidence-detection properties
of the cells. The biophysical mechanism for this improvement is
based on the nonlinear summation of excitatory inputs in each of
the dendrites and the use of each dendrite as a current sink for
inputs to the other dendrite. This is a rare case in which the
contribution of dendrites to the known computation of a neuron
may be understood. Our results show that, in these neurons, the
cell morphology and the spatial distribution of the inputs enrich
the computational power of these neurons beyond that expected
from point neurons (model neurons lacking dendrites).
Over the past 40 years it has become widely accepted that
dendrites play a major role in neuronal computation
9
. Despite
intensive efforts to decipher this role
1016
, however, the contribution
of the dendrites to the function of the single neuron remains elusive.
Nevertheless, the existence of different dendritic geometries and
their plausible effect on computation have been used as evidence for
dendritic computation
11,12,17
. As analysis of dendritic computation is
most powerful when the role of the neuron is understood, we used
brainstem auditory coincidence detectors to demonstrate the com-
putational advantages of having synaptic inputs on the dendrites
rather than on the cell body.
Coincidence detectors of the auditory brainstem are binaural
neurons that respond maximally when they receive simultaneous
inputs from the two ears. This condition is met when delay line
inputs from each ear exactly compensate for a delay introduced by
an interaural time difference (ITD, the time difference between the
Present address: New York University, Center for Neural Science and Courant Institute of Mathematical
Sciences, New York 10003, USA.
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... Anderson i Bušman (Anderson & Bushman, 2001) u svojoj metaanalizi koja je obuhvatila sedam nezavisnih istraživanja veze između nasilnih video-igrica iziološkog uzbuđenja, na ukupnom uzorku od 395 ispitanika, pronalaze da prosečni efekat u studijama između igranja nasilnih video-igrica i uzbuđenja iznosi 0,22. Pored ovih zioloških parametara pronađeno je i da igranje nasilnih video-igara dovodi do oslobađanja dopamina ( Koepp et al., 1998). Međutim, autori (Anderson & Carnagey, 2004) upozoravaju da treba biti obazriv prilikom interpretacije rezultata o uticaju nasilnih video-igrica na parametre, s obzirom na to da deca s visokim stepenom hostilnosti inače imaju veći broj otkucaja srca, viši krvni pritisak, viši nivo epinefrina, testosterona, norepinefrina i kortizola. ...
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Violent video games, as a modern digital media, have attracted increasing attention of children and adolescents in recent decades, causing many detrimental consequences, most notably aggressive behavior. Therefore, the goals of the paper are: presentation of research findings that testify to the influence of playing violent video games on aggressive cognition, aggressive feelings, physiological arousal, desensitization to violent scenes, as processes that play a significant role in the expression of aggressive behavior; review of research indicating significant effects of playing violent video games on aggressive behavior; summarizing and displaying the factors that mediate and moderate the link between violent video game play and aggressive behavior. Based on the findings of meta-analytic, longitudinal, experimental and correlational studies, it is clear that playing violent video games is positively related to aggressive behavior and underlying processes.
... The accuracy of the Stroop task was lower in the addiction group than in the normal group ( Lee et al., 2015). Koepp et al. (1998) reported that the frontal striatal and limbic brain regions involved in the dopamine mesolimbic pathway are associated with the urge to play games and the reward mechanism. ...
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Cognitive control is essential for flexible, top-down, goal-directed behavior. Individuals with Internet gaming disorder (IGD) are characterized by impaired prefrontal cortex function and cognitive control. This results in an increase in stimulus-driven habitual behavior, particularly related to pathological gaming. In the present study, we investigated the electroencephalographic (EEG) activity in individuals with IGD. Twenty-four individuals with IGD and 35 healthy control (HC) subjects were recruited. We analyzed their EEG activity while the subjects played their favorite game (30–40 min duration). We compared the band power between the two groups. During gaming, the left frontal theta, alpha, and beta band activities were lower in subjects with IGD than in HCs. Moreover, the left frontal theta power negatively correlated with IGD severity. These results indicate that left frontal theta power could be used as a neurophysiological biomarker for the detection of diminished cognitive control patterns in individuals with IGD.
... A previous study (Fiorillo et al., 2003) suggested that reward and penalty outcomes are related to the firing of dopaminergic neurons. A study by Koepp et al. (1998) found evidence that dopamine was released in the human striatum during a behavioral task. Another study (Zald et al., 2004) noted that rewards increased dopamine transmission. ...
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Background The goal of this study is to examine whether goal-directed control and learning rate are more closely associated with internet addiction (IA) and analyze maladaptive behavior in IA through reinforcement learning processes and personality traits by looking at the personality traits of people with IA, thereby validating its alternative for diagnosing and measuring IA. Methods A total of sixty-one participants with IA and sixty-one healthy participants completed the Internet Addiction Test (IAT), the Behavioral Inhibition System/Behavioral Activation System (BIS/BAS) scale, and the two-step Markov decision task. Through hybrid modeling and multivariate regression, the relationship between reinforcement learning parameters, personality traits, and IA scores was analyzed. Results Significant impairment in goal-directed system was observed in the IA group, although this impairment did not correlate with the degree of IA. In comparison to the healthy control group, the IA group exhibited a significantly higher learning rate, which was positively correlated with the severity of IA and reward sensitivity. Furthermore, the BIS score and learning rate were predictive of IAT scores. Conclusions Maladaptive behavior in IA can be attributed partially to deficits in goal-directed system and an elevated learning rate. Individuals with a higher BIS sensitivity are more likely to experience IA. Incorporating behavioral modeling parameters and personality factors might aid in IA diagnosis.
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To clarify the relationship between dopamine (DA) release in the prefrontal cortex and learning performance, extracellular DA was measured by an in vivo microdialysis method during a discrimination learning task. Rats were trained to discriminate between lamp-on and -off states under an operant-type learning procedure. After stable discriminative behavior was established, a microdialysis experiment was conducted. Inverse relationships were seen between the relative ratio of DA after the beginning of a learning session to the basal level and the responses (total, correct and error responses) during a session. The results indicate that the degree of DA release in the prefrontal cortex is involve in the inhibitory mechanism of the response during discrimination learning performance.
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Manipulations of dopamine levels in the dorsal and ventral striatum are shown to affect the activation of behaviour in distinct, yet parallel ways, which depend upon the nature of the neocortical and limbic input to these structures. Whereas dopamine in the dorsal striatum contributes to the sensorimotor co-ordination of consummatory behaviour and the development of a ‘response set’ in motor preparatory processes for skilled responses, dopamine in the ventral striatum influences the impact of reward-related stimuli on appetitive aspects of behaviour. The circumstances under which the striatal dopamine projections are normally active to effect these functions are defined by studies which attempt to correlate firing in single units or neurochemical indices of dopamine activity with environmental conditions, internal states and behaviour.
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A method is presented for the generation of parametric images of radioligand–receptor binding using PET. The method is based on a simplified reference region compartmental model, which requires no arterial blood sampling, and gives parametric images of both the binding potential of the radioligand and its local rate of delivery relative to the reference region. The technique presented for the estimation of parameters in the model employs a set of basis functions which enables the incorporation of parameter bounds. This basis function method (BFM) is compared with conventional nonlinear least squares estimation of parameters (NLM), using both simulated and real data. BFM is shown to be more stable than NLM at the voxel level and is computationally much faster. Application of the technique is illustrated for three radiotracers: [11C]raclopride (a marker of the D2 receptor), [11C]SCH 23390 (a marker of the D1 receptor) in human studies, and [11C]CFT (a marker of the dopamine transporter) in rats. The assumptions implicit in the model and its implementation using BFM are discussed.
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IT is now well established that an important system of dopaminergic (DA) neurones innervates various parts of the cerebral cortex in the rat and other species1-3. In contrast to noradrenergic (NA) terminals which are widely distributed in this structure, the DA terminals are mainly confined to deep layers, particularly in the frontal, the cingular and the entorhinal areas4,5. The results of lesion studies demonstrated that the terminal endings in the frontal cortex originate from the A10 group of DA cell bodies localised in the mesencephalon6-8. This group also contains the cell bodies of the classical mesolimbic DA system projecting to the tuberculum olfactorium, the nucleus accumbens, the nucleus of the stria terminalis, and the amydgala9. The DA terminals found in the cingulate and entorhinal areas of cortex may originate mainly from the A9 group of DA neurones6-8. This group gives rise to the well known nigrostriatal DA system which is implicated in extrapyramidal processes. Its degeneration is in part responsible for some of the symptoms seen in Parkinsonian patients. Little is yet known about the functions of the mesocortical and mesolimbic DA pathways. Electrocoagulation or 6-hydroxydopamine (6-OHDA)-induced lesions of the ventral tegmental area, containing the A10 group, produce a syndrome characterised by ``locomotor hyperactivity, serious impairment in tests requiring inhibition of a previously learned response, facilitation of approach learning and of active avoidance and hypoemotivity''10,11. Various workers have suggested that the antipsychotic effects of neuroleptics are in part related to the blockade of postsynaptic DA receptors localised in areas innervated by the mesolimbic and mesocortical DA systems12,13. It seems important to establish whether neurones of these two DA systems correspond to an homogeneous population of cells with similar functional characteristics. We have therefore explored this problem in the rat by examining the reactivity of the mesocortical and mesolimbic DA pathways as well as that of nigrostriatal DA system to stress induced by electric foot shocks. Our results suggest that the mesocortical DA system is selectively activated by this stress.