Basal ganglia

Figure 1: Principal components of the mammalian basal ganglia. The main input nuclei are the striatum (STR) and the subthalamic nucleus (STN). Direct connections to both input nuclei are from the thalamus, cerebral cortex and limbic structures (amygdala and hippocampus). The main output nuclei are the substantia nigra pars reticulata (SNr) and the internal globus pallidus/entopeduncular nucleus (not shown). The external globus pallidus (GP) is an intrinsic nucleus as most of its connections are with the input and output nuclei of the basal ganglia. Red arrows denote excitatory connections while blue arrows represent inhibitory connections.

The basal ganglia are a group of interconnected subcortical nuclei that represent one of the brain's fundamental processing units.

## Contents

* 1 Anatomy
* 1.1 Components
* 1.1.1 Striatum
* 1.1.2 Subthalamic nucleus
* 1.1.3 Globus pallidus (internal)/entopeduncular nucleus
* 1.1.4 Substantia nigra pars reticulata
* 1.1.5 Globus pallidus (external)
* 1.1.6 Substantia nigra pars compacta/ventral tegmental area
* 1.2 Internal architecture
* 1.2.1 Direct and Indirect pathways
* 1.2.2 Projection topographies
* 1.3 Input/output architecture
* 1.3.1 Inputs
* 1.3.2 Outputs
* 1.3.3 Cortical-loops
* 1.3.4 Sub-cortical loops
* 2 Physiology
* 2.1 Input signals to the striatum
* 2.2 Input signals to the subthalamic nucleus
* 2.3 Output signals
* 3 Function
* 3.1 Action selection
* 3.2 Reinforcement learning
* 4 Conclusions
* 5 References
* 6 See also

## [edit] Anatomy

### [edit] Components

The basal ganglia comprise two principal input nuclei, the striatum and the subthalamic nucleus (STN), and two principal output nuclei, the substantia nigra pars reticulata (SNr) and the internal globus pallidus (GPi) (primates) which in cats and rodents is known as the entopeduncular nucleus ( Figure 1). The external globus pallidus (GPe) is principally an intrinsic structure that receives most of its afferents from, and provides efferent connections to other basal ganglia nuclei. Finally, dopaminergic neurones in substantia nigra (pars compacta) (SNc) and the adjacent ventral tegmental area (VTA) provide other basal ganglia nuclei, principally the striatum, with important modulatory signals.

#### [edit] Striatum

Striatum is the largest nucleus of the basal ganglia. In primates the striatum comprises the caudate nucleus and the putamen, and in all mammals, the ventral striatum or nucleus accumbens (Gerfen and Wilson 1996, Voorn et al. 2004). It receives direct input from most regions of the cerebral cortex and limbic structures including the amygdala and hippocampus. Additional input from sensorimotor and motivational regions of the brainstem arrives indirectly via relays in the thalamus. Finally, important modulatory afferents come from substantia nigra pars compacta (dopamine) and the raphe nuclei (serotonin) in the midbrain. The striatum is subdivided into sectors along a ventromedial-dorsolateral continuum largely on the basis of external connectivity (Voorn et al. 2004). All regions of the striatum are divided further into regions of patch/striosomes and matrix, again on the basis of differential connectivity and distribution of neurochemical markers (Gerfen and Wilson 1996). The principal cell type (representing >90% of all neurones) in all striatal regions is the GABAergic medium spiny neurone. Spiny neurones have been separated into two further populations according to which neuroactive peptide they contain (Substance P and dynorphin or Enkephalin) and the relative proportions of D1- and D2-type dopamine receptors they express. Striatal medium spiny neurones are GABAergic providing inhibitory inputs to adjacent spiny neurones via local axon collaterals, to the globus pallidus (external), and to both basal ganglia output nuclei. The remaining 5-10% of neurones in the striatum (fewer in rodents, more in primates) are either GABAergic or cholinergic interneurones, which can be distinguished according to neurochemical and in some cases morphological characteristics (for precise details of relative numbers see - Tepper and Bolam 2004).

#### [edit] Subthalamic nucleus

Subthalamic nucleus was considered an important relay in the "indirect output pathway" from the striatum via the external globus pallidus (Albin et al. 1989). While still serving this function, it is now also considered a second important input nucleus of the basal ganglia (Nambu et al. 2002). Inputs external to the basal ganglia derive not only from large parts of frontal cortex, but also from various thalamic and brainstem structures. The subthalamic nucleus has a predominant cell type that is immunoreactive for glutamate that sends excitatory projections to both basal ganglia output nuclei and the external globus pallidus.

#### [edit] Globus pallidus (internal)/entopeduncular nucleus

Globus pallidus (internal)/entopeduncular nucleus is one of the two output nuclei that receive inputs from other basal ganglia nuclei and provides output to external targets in the thalamus and brainstem. Thus, it receives inhibitory GABAergic afferents from the striatum and external globus pallidus, and excitatory glutamatergic input from the subthalamic nucleus. Neurones of the internal globus pallidus are GABAergic and exert powerful inhibitory effects on targets in the thalamus the lateral habenula and the brainstem (Parent et al. 1999).

#### [edit] Substantia nigra pars reticulata

Substantia nigra pars reticulata is the second principal output nucleus also receiving afferents from other basal ganglia nuclei and providing efferent connections to the thalamus and brainstem. Inhibitory (GABAergic) inputs come from the striatum and globus pallidus (external) and excitatory input from the subthalamus (Gerfen and Wilson 1996). Pars reticulata neurones are also GABAergic and impose strong inhibitory control over parts of the thalamus and brainstem, including the superior colliculus, pedunculopontine nucleus and medullary reticular formation (Chevalier and Deniau 1990).

#### [edit] Globus pallidus (external)

Globus pallidus (external) is the principal "intrinsic" structure of the basal ganglia since it's major connections are with other basal ganglia nuclei. Thus, it receives inhibitory input from the striatum, excitatory input from the subthalamus, and provides GABAergic inhibitory efferent connections to all the basal ganglia's input and output nuclei (Chan et al. 2005). It also provides inhibitory input to the SNc (Parent et al. 1999).

#### [edit] Substantia nigra pars compacta/ventral tegmental area

Substantia nigra pars compacta/ventral tegmental area are regions of the ventral midbrain that contain the dopaminergic neurones that give rise to the nigrostriatal and mesolimbic/mesocortical projections (Lindvall and Bjorklund 1974). These pathways provide important modulatory signals both to other basal ganglia nuclei and to external structures (frontal cortex, septal area, amygdala, habenula). The highest concentration of dopaminergic terminals is in the striatum where they make synaptic and non-synaptic contacts with both medium spiny and interneurones (Sulzer 2005). Both pars compacta and the ventral tegmental area contain variable proportions of GABAergic neurones which make contact with nearby dopaminergic neurones (White 1996, Omelchenko and Sesack 2006). The main inputs to dopaminergic containing regions of the ventral midbrain come from other basal ganglia nuclei (Haber et al. 2000) and the brainstem (Kitai et al. 1999, Comoli et al. 2003); other afferent connections are from the frontal cortex (Frankle et al. 2006) and the amygdala (Gonzales and Chesselet 1990, Fudge and Haber 2000).

### [edit] Internal architecture

Figure 2: Organisation of intrinsic connections within the basal ganglia. A. The influential proposal by Albin and colleagues (1989) - output of the basal ganglia is determined by the balance between direct striatonigral inhibitory connections that promote behaviour (the direct pathway), and the indirect pathway via relays in the external globus pallidus (GPe) and subthalamic nucleus (STN) which suppresses behaviour. The balance between these two projections was thought to be regulated by afferent dopaminergic signals from substantia nigra pars compacta (SNc) acting on differentially distributed D1 and D2 dopamine receptors. B. Recent anatomical investigations have revealed a rather more complex organisation where the transformations that are applied to the inputs to generate outputs are less easy to predict.

#### [edit] Direct and Indirect pathways

An influential view of the intrinsic organisation of the basal ganglia was proposed by Albin and colleagues (1989) ( Figure 2A). In their scheme, signals originating in cerebral cortex are distributed to the two populations of striatal medium spiny output neurones. Neurones containing Substance P and a preponderance of D1-type dopamine receptors make "direct" contact with the basal ganglia output nuclei -- the direct pathway. While, striatal neurones containing Enkephalin and express mainly D2-type dopamine receptors make "indirect" contact with the output nuclei via relays in the globus pallidus and subthalamus -- the indirect pathway. Basal ganglia output was thought to reflect a balance between these two projections.

Additional anatomical observations ( Figure 2B) have, however, revealed a more complex organisation. The main findings are as follows:

* both populations of striatal output neurones project to the globus pallidus (external), one exclusively (Enkephalin/D2 neurones), the other via collaterals from the fibres innervating the output nuclei (Substance P/D1 neurones) (Parent et al. 2000);
* globus pallidus neurones make direct contact with the output nuclei as well as to the subthalamus, often with branching collaterals to all three structures (Smith et al 1998);
* the globus pallidus also projects back to the striatum (Bevan et al. 1998);
* major input to the subthalamic nucleus originates from both cortical and sub-cortical structures external to the basal ganglia, consequently, it is now considered a major input structure, rather than a simple relay in the "indirect-pathway" (Nambu et al. 2002).

#### [edit] Projection topographies

Although the overall pattern of intrinsic circuitry is complex ( Figure 2B), connections between components of the basal ganglia are topographically ordered. Some of these projections are comparatively focused (e.g. the striato-nigral projection), others more diffuse (e.g. the subthalamo-nigral projection) (Mink 1996). Differences in the comparative numbers of neurones in the striatum and the output nuclei suggest a dramatic compression of information as it is processed within the basal ganglia (Oorschot 1996).

### [edit] Input/output architecture

Figure 3: An important component of the connections between the cerebral cortex and the basal ganglia can be viewed as a series of parallel projecting, largely segregated loops or channels (Alexander et al. 1986). Functional territories represented at the level of cerebral cortex are maintained throughout the basal ganglia nuclei and the thalamic relays. Note, however, for each loop, the relay points in the cortex, basal ganglia, and thalamus, offer opportunities for activity inside the loop to be modified/modulated by signals from outside the loop.

#### [edit] Inputs

Input to the striatum from all major sources, the cerebral cortex, limbic structures and the thalamus are also topographically ordered (Voorn et al. 2004). Terminals from some sources (cerebral cortex and central lateral thalamic nucleus) appear to make few contacts with many striatal neurones while inputs from other regions (parafasicular thalamic nucleus) have many contacts with fewer individual striatal neurones (Gerfen and Wilson 1996). Afferent connections to the subthalamic nucleus, at least from cerebral cortex, are also topographically organised (Nambu et al. 2002).

#### [edit] Outputs

Basal ganglia outputs contact regions of the thalamus (the intralaminar and ventromedial nuclei) that project directly back to basal ganglia input nuclei (Kimura et al. 2004, Smith et al. 1998) but also back to those regions of cortex providing original inputs to the striatum (Alexander et al. 1986). Similarly, basal ganglia outputs to the brainstem tend to target those regions that provide indirect input to the striatum via the thalamic midline and intralaminar nuclei (McHaffie et al. 2005). Projections from the basal ganglia output nuclei to the thalamus (Mengual et al. 1999) and brainstem (Mana and Chevalier 2001) are also topographically ordered. In addition, many output projections of the basal ganglia are extensively collateralised (Cebrian et al. 2005) suggesting that divergent targets in the thalamus, midbrain and hindbrain may be influenced simultaneously.

#### [edit] Cortical-loops

Manifest topographies associated with input projections, intrinsic connections and outputs of the basal ganglia provided a basis for the influential organisational principle suggested by Alexander and colleagues (1986). Connections between the cerebral cortex and basal ganglia can be viewed as a series of parallel projecting, largely segregated cortico-striato-nigro-thalamo-cortical loops or channels ( Figure 3). Thus, an important component of the projections from different functional territories of cerebral cortex (e.g. limbic, associative, sensorimotor) project to exclusive functional territories in the basal ganglia input nuclei, which are then maintained in the internal circuitry. Output signals from functional territories represented in the output nuclei are returned, via appropriate thalamic relays, to the cortical regions providing the original input signals (Middleton and Strick 2000).

Figure 4: Cortical and subcortical sensorimotor loops through the basal ganglia. A. For cortico-basal ganglia loops the position of the thalamic relay is on the return arm of the loop. B. In the case of all sub-cortical loops the position of the thalamic relay is on the input side of the loop. Predominantly excitatory regions and connections are shown in red while inhibitory regions and connections are blue. Abbreviations: Thal, thalamus; SN/GP, substantia nigra/globus pallidus.

#### [edit] Sub-cortical loops

The concept of potentially segregated parallel projecting loops through the basal ganglia has been extended to their connections with sensorimotor and motivational structures in the brainstem, including the superior colliculus, periaqueductal grey, pedunculopontine and parabrachial nuclei (McHaffie et al. 2005). An important difference is that, in the case of cortical loops, the thalamic relay is on the output side of the loop, whereas for the sub-cortical loops the thalamic relay is on the input side ( Figure 4). Much work will be required to test whether projections from different brainstem structures, as they pass through the thalamic and basal ganglia relays, represent functionally segregated channels.

## [edit] Physiology

### [edit] Input signals to the striatum

Signals received by the striatum from the cerebral cortex and thalamus are mediated by excitatory glutamatergic neurotransmission (Gerfen and Wilson 1996). These fast, phasically active excitatory inputs are mediated predominantly by AMPA and kainate receptor subtypes when the medium spiny neuronal membranes are near resting potential, with NMDA receptors playing a great role when the membranes are depolarised. Glutamatergic inputs from both cerebral cortex and thalamus also impinge on striatal interneurones (Tepper and Bolam 2004, Smith et al. 1998). The effects of dopaminergic inputs on striatal neuronal activity are complicated with many conflicting results (Nicola et al. 2000). Problems undoubtedly arise because it is difficult to evoke in slice and anaesthetised preparations the appropriately timed cortically and thalamically based inputs with which dopaminergic signals will interact (see below). However, the current weight of evidence suggests dopamine can increase signal-to-noise ratios in the striatum -- enhancing the effects of strong inputs while suppressing weak ones (Nicola et al. 2004). The actions of dopamine on GABAergic and cholinergic interneurones (Tepper and Bolam 2004, Nicola et al. 2000) may also contribute. Although anatomically significant (Soubrie et al. 1984), much less is known about the role(s) of serotoninergic inputs to the basal ganglia.

### [edit] Input signals to the subthalamic nucleus

The main external sources of input to the striatum also provide parallel inputs to the subthalamic nucleus. The subthalamus, therefore, receives phasic excitatory glutamatergic signals both from cerebral cortex (Nambu et al. 2002) and the thalamus (Mouroux and Feger 1993). Following cortical stimulation short-latency excitatory effects in the subthalamus are thought to be mediated via these "hyperdirect" pathways while longer latency suppressive effects more likely come from indirect inhibitory inputs from other basal ganglia nuclei, principally the external globus pallidus (Nambu et al. 2002). Modulatory dopaminergic and serotoninergic inputs appear to produce local excitation in the subthalamus (Ni et al. 2001, Xiang et al. 2005). Finally, and unlike the striatum, the subthalamus is modulated by additional cholinergic signals from the tegmental pedunculopontine nucleus (Mena-Segovia et al. 2004).

Figure 5: Disinhibition is the basic process by which basal ganglia function is expressed. A schematic illustration of results reported by Chevalier and Deniau (1990) in which frequency histograms illustrate the sequence of electrophysiological events underlying the disinhibitory process. Activity was evoked in the striatum by a local injection of glutamate (arrows). The inhibitory striatonigral projection consequently induced a clear suppression of tonically active neurones in substantia nigra pars reticulata. Released from potent GABAergic nigral inhibition, target neurones in the superior colliculus and ventromedial thalamus discharged vigourously.

### [edit] Output signals

The manner by which the basal ganglia exert influence over target structures is by a fundamental process of disinhibition (Chevalier and Deniau 1990) ( Figure 5). GABAergic neurones in the basal ganglia output nuclei have high tonic firing rates (40-80 Hz). This activity ensures that target regions of the thalamus and brainstem are maintained under a tight and relatively constant inhibitory control. Focused excitatory inputs from external structures to the striatum can impose a focused suppression, (mediated via "direct" GABAergic inhibitory connections), on sub-populations of output nuclei neurones. This focused reduction of inhibitory output activity effectively releases or disinhibits associated target regions in the thalamus (e.g. ventromedial nucleus) and brainstem (e.g. superior colliculus) from normal inhibitory control.

## [edit] Function

In humans, basal ganglia dysfunction has been associated with numerous debilitating conditions including Parkinson's disease, Huntington's disease, Tourette's syndrome, schizophrenia, attention-deficit disorder, obsessive-compulsive disorder, and many of the addictions. To understand and correctly interpret how a complicated system such as the basal ganglia can malfunction, it is useful to appreciate how the network works normally. What are the normal functions of basal ganglia circuitry? Two recurring themes in basal ganglia literature point to their involvement in action selection and reinforcement learning.

Figure 6: A conceptual model of action selection by the basal ganglia. Parallel processing functional systems that compete for behavioural expression are distributed throughout the brain, and are connected to the basal ganglia via a looped architecture (Alexander et al. 1986, McHaffie et al. 2005); examples of two such systems are illustrated. The ‘selection hypothesis’ maintains that the input side of each loop carries phasic signals representing a ‘bids’ for selection. Within the basal ganglia nuclei competing bids are evaluated and the tonic inhibitory output is withdrawn from ‘selected’ channels and maintained on ‘non-selected’ channels. A computer simulation of this architecture is able to generate coherent sequences of ‘purposive’ behaviour when controlling action selection in an autonomous mobile robot (Prescott et al. 2006).

### [edit] Action selection

Despite numerous suggestions that the basal ganglia are involved in a wide range of functions including perception, learning, memory, attention, many aspects of motor function, even analgesia and seizure suppression, increasingly evidence points to an underlying role in basic selection processes (Mink 1996, Redgrave et al. 1999).

* Selection is an old problem: The anatomical connections and neurotransmitters systems of the basal ganglia in vertebrate species are remarkably similar, suggesting that the evolution of these structures has been very conservative (Medina and Reiner 1995). Consequently, whatever computational problems the basal ganglia evolved to solve, they were likely to be as much problems for early vertebrates as they are for us today. A likely possibility is that multifunctional agents typically have to express different functional outputs through a shared motor resource - the final common motor path. A fundamental requirement is to determine which functional system should be allowed control of the motor output at any time. This selection problem is one shared by all vertebrates and has not changed materially over the course of evolution, despite great changes in the range, power and sophistication of systems competing for expression.

* The basal ganglia can select: The macro-architecture of the basal ganglia appears to be configured for selection ( Figure 6). The parallel loops originating from and returning to diverse cortically and sub-cortically based functional systems (Alexander et al. 1986, McHaffie et al. 2005) convey phasic excitatory signals (bids for selection) to the input nuclei. Depending on comparative magnitudes of "input saliences", channels returning to structures providing the most "salient" inputs would be selectively disinhibited. Returning disinhibitory signals may permit the sensory/cognitive inputs to the targeted functional system access to the shared motor resource. Maintained or increased levels of tonic inhibitory signals in non-selected channels would prevent the output of non-selected target structures accessing the common motor path. Independent of any biological considerations, a similar "central-selection" control architecture was devised to select the actions of an autonomous mobile robot (Snaith and Holland 1990). Subsequently, it has been confirmed that a biologically constrained model of basal ganglia architecture can do likewise (Prescott et al. 2006).

Figure 7: Proposed mechanisms for serial selection within the basal ganglia. 1. Strong synchronised inputs required to elevate the membrane potential of medium spiny neurones to an ‘up-state’ where action potentials can be generated. 2. Local and longer range inhibitory connections between striatal neurones. 3. Focused signals from the striatum are superimposed on diffuse signalling from the subthalamic nucleus creating an inhibitory centre, excitatory surround at the level of the output nuclei. 4. Local recurrent inhibitory connections between elements of the output nuclei. All mechanisms contribute to the overall process of selective disinhibition.

* Open and closed loops: A fundamental requirement for selection is that activity within the functionally segregated loops should interact. Consequently, at each major relay point within each of the basal ganglia loops (input nuclei, output nuclei, and the thalamus) signals flowing in the parallel channels can be subjected to influences originating outside the loop (Joel and Weiner 1994). With the selection hypothesis in mind, mechanisms within the internal circuitry can be identified that would promote "selection", in part by permitting different channels to influence each other ( Figure 7):
* Excitatory inputs to an individual spiny neurone must be sufficiently synchronised to depolarise the membrane of medium spiny neurones to an "up-state" where it can fire action potentials (Gerfen and Wilson 1996). This mechanism might represent an initial filter to exclude "weak" competitors.
* Local inhibitory collaterals between striatal spiny neurones (Plenz 2003) and longer range inhibitory effects of interneurones (Tepper and Bolam 2004) should cause highly activated striatal elements to suppress activity in more weakly activated channels.
* At the level of basal ganglia output nuclei, the imposition of focused inhibition from the striatum onto a more diffuse excitation from the subthalamic nucleus should cause an inhibited (selected) centre with an excitatory (non-selected) surround (Mink 1996).
* Local inhibitory collaterals between output nuclei neurones (Mailly et al. 2003) should further "sharpen" the difference between inhibited and non-inhibited channels. Together these mechanisms can be viewed as a sequence of mechanisms for selection.

* Canonical micro-architectures: The internal micro-architecture of each basal ganglia structure is retained across the representations of different functional territories. Insofar as function is an emergent property of connectivity, the presence of common architectures suggests that similar computational processes are applied to inputs from drastically different functional origins. It is noteworthy that goal directed behaviour can be conceived as a three tier hierarchy with selections required at each level (Redgrave et al. 1999):
* selections of overall goal;
* selections of actions to achieve a selected goal; and
* selections of movements to achieve a selected action.

Thus, the same micro-circuitry shared by the different functional territories of the basal ganglia could, in principle, select between competing "goals", "actions" and "movements". It is therefore relevant that across the ventromedial-dorsolateral gradient proposed for the striatum (Voorn et al. 2004), inputs to ventromedial sectors come from structures in which competing behavioural goals may be represented (prefrontal cortex, amygdala, hippocampus), while the connections of dorsolateral sectors are from regions that guide movements (e.g. sensory and motor cortex). Consequently, it is not difficult, to map the conceptual framework of goal, action and movement selections onto the "spiral architecture" proposed by Suzanne Haber (Haber et al. 2000) for successive connections between the limbic, associative and sensorimotor territories of the basal ganglia.

### [edit] Reinforcement learning

The basal ganglia have long been associated with the processes of reinforcement learning (Schultz 2006; see also Reward Signals). This should not be surprising since instrumental or operant conditioning (the class of learning most commonly linked to the basal ganglia) can be viewed as the biasing of future action selections by past action outcomes. One of the strongest lines of evidence supporting the involvement of the basal ganglia in reinforcement learning is the electrophysiological data obtained from behaving monkeys. Typically, unexpected biologically significant events including sudden novel stimuli, intense sensory stimuli, primary rewards, and arbitrary stimuli classically conditioned by association with primary rewards evoke a stereotypic sensory response from DA neurones in many species (Schultz 1998). This response comprises a characteristic short latency (70-100 ms), short duration (<200 ms) burst of activity. However, it is the capacity of phasic DA responses to change when experimental conditions are altered that has provoked most interest.

* The novelty response of DA neurones habituates rapidly when a sensory stimulus is repeated in the absence of behaviourally rewarding consequences.

* A phasic DA response will emerge following the presentation of a neutral sensory stimulus that predicts a primary reward. Under these conditions the DA responses to the predicted reward gradually diminish.

* When a predicted reward is omitted, a reliable depression in the spontaneous activity of the DA neurones occurs 70-100 ms after the time of expected reward delivery.

It is largely on the basis of these data that the reward-prediction error hypothesis was originally formulated. More recently, additional supporting investigations have established that the phasic DA signal complies with the contiguity, contingency and prediction error tenets of contemporary learning theories (Schultz 2006). This body of evidence provides powerful support for the reward prediction error hypothesis which is now widely accepted by both biological and computational neuroscientists. Within this framework, the hypothesised errors in reward prediction signalled by phasic dopamine activity are presumed teaching signals for appetitive learning and ensure that actions maximising the future acquisition of reward are selected more often.

However, recent evidence from studies that have identified sources of short-latency sensory input to midbrain dopaminergic neurones suggests that, in real world conditions where unexpected stimuli are both temporally and spatially unpredictable, the identity of unexpected events (and hence their reward value) will be determined after, rather than before the time of phasic dopaminergic signalling (Redgrave and Gurney 2006).

Figure 8: Potentially converging inputs to the dorsal striatum at the time of an unpredicted biologically salient visual event. A. Phasic sensory: Two separate short-latency representations of the visual event could converge on striatal circuitry: (i) retino-tecto-thalamo-striatal projections will provide a phasic sensory-related glutamatergic input (red arrows) ; and (ii) retino-tecto-nigro-striatal projections will provide a phasic dopaminergic input (orange arrows) . B. Contextual: Striatal neurones are sensitive to experimental context. Multidimensional contextual afferents are likely to originate from cerebral cortex, limbic structures (hippocampus and amygdala) and the thalamus (Blue arrows). C. Motor copy: Branched pathways from motor cortex and subcortical sensorimotor structures (e.g. superior colliculus) reach the striatum directly (cortex) or indirectly via the thalamus (subcortical structures). Motor-related projections could provide the striatum with a running, multidimensional record (motor efference copy) of commands relating to ongoing goals/actions/movements (green arrows).

* Although dopamine neurones have reliable responses to reward-related stimuli they also exhibit strong phasic responses to unexpected sensory events that have no obvious appetitive reinforcement consequences (Horvitz 2000).

* Despite reward-related stimuli coming in all sorts of shapes and sizes, the phasic dopamine signal is highly stereotyped (latency \\(\sim\\) 100 ms, duration \\(\sim\\) 100 ms) and largely independent of animal species, stimulus modality, and perceptual complexity of eliciting events (Schultz 1998).

* The 100 ms response latency of dopaminergic neurones is reliably shorter than the latency of the gaze-shift that brings the unexpected event onto the fovea for detailed analysis by cortical visual systems. Necessarily this means that dopamine responses are triggered as a consequence of limited pre-attentive, pre-saccadic sensory processing (Redgrave and Gurney 2006).

* Recent evidence indicates that the sensory inputs to dopaminergic neurones derive largely, if not exclusively as a consequence of early, subcortical sensory processing (Redgrave and Gurney 2006). In the case of vision, the midbrain superior colliculus is configured to indicate where an unexpected event is rather than what it is (Wurtz and Albano 1980). Perhaps it is no coincidence that, in almost all studies showing phasic dopamine signals can signal reward prediction errors (Schultz 2006), the economic values predicted by the conditioned stimuli are correlated with the spatial location of stimulus presentation. It therefore remains to be determined whether dopamine neurones can signal continuous values of reward prediction errors in real world conditions where unexpected events are both temporally and spatially unpredictable.

In the light of these considerations, it has been suggested that short-latency signalling by dopaminergic neurones may be suited more to reinforcing a form of learning with less stringent perceptual requirements(Regrave and Gurney 2006). Specifically, short-latency dopamine reinforcement signals could promote the discovery of agency (i.e. those initially unpredicted events that are caused by the agent) and subsequent identification of critical causative actions, irrespective of the outcome's economic value. This hypothesis is based on the sensory and motor signals likely to be present in target structures (principally the striatum) at the time of the precisely timed phasic dopamine response ( Figure 8). The role of dopamine in this scheme is to promote the reselection of components of behaviour and context that immediately precede unpredicted sensory events ( Figure 9). When the animal/agent is the cause of an event, repeated trials should enable the basal ganglia to converge on behavioural and contextual components that are critical for eliciting it, leading to the emergence of a novel action.

Figure 9: The relative timing of proposed inputs to the dorsal striatum could be used to determine the source of agency. A. Event caused by subject: Whenever the subject is the cause of an unpredicted sensory event, relevant components of the multidimensional contextual (blue) and motor efference copy (green) inputs will directly precede the near simultaneous short-latency glutamatergic sensory input from the thalamus (red) and the phasic dopaminergic input from substantia nigra (orange). B. Event caused by external source. When no relevant motor copy inputs precede the phasic sensory inputs (glutamatergic and dopaminergic), the unpredicted event is likely to have been caused by an external source. This circuitry could enable the system to determine those events in the external world for which it is responsible. The colour coding of the functional inputs to the striatum is maintained from Figure 8.

## [edit] Conclusions

If action selection and reinforcement learning are normal functions of the basal ganglia, it should be possible to interpret many of the human basal ganglia-related disorders in terms of selection malfunctions. For example, the akinesia of Parkinson's disease may be seen as a failure to inhibit tonic inhibitory output signals on any of the sensorimotor channels. Aspects of schizophrenia, attention deficit disorder and Tourette's syndrome could reflect different forms of failure to maintain sufficient inhibitory output activity in non-selected channels. Consequently, insufficiently inhibited signals in non-selected target structures could interfere with the output of selected targets (expressed as motor/verbal tics) and/or make the selection system vulnerable to interruption from distracting stimuli (schizophrenia, attention deficit disorder). The opposite situation would be where the selection of one functional channel is abnormally dominant thereby making it difficult for competing events to interrupt or cause a behavioural or attentional switch. Such circumstances could underlie addictive compulsions or obsessive compulsive disorder. Finally, the new hypothesis of phasic dopamine function (Redgrave and Gurney 2006) could provide further insights into behavioural stereotypies and disturbances of the sense of agency.

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Internal references

* Valentino Braitenberg (2007) Brain. Scholarpedia, 2(11):2918.
* Eugene M. Izhikevich (2006) Bursting. Scholarpedia, 1(3):1300.
* Olaf Sporns (2007) Complexity. Scholarpedia, 2(10):1623.
* Eugene Roberts (2007) Gamma-aminobutyric acid. Scholarpedia, 2(10):3356.
* Okihide Hikosaka (2007) Habenula. Scholarpedia, 2(6):2703.
* Jim Houk (2007) Models of basal ganglia. Scholarpedia, 2(10):1633.
* Peter Jonas and Gyorgy Buzsaki (2007) Neural inhibition. Scholarpedia, 2(9):3286.
* John Dowling (2007) Retina. Scholarpedia, 2(12):3487.
* Wolfram Schultz (2007) Reward. Scholarpedia, 2(3):1652.
* Wolfram Schultz (2007) Reward signals. Scholarpedia, 2(6):2184.
* Don H. Johnson (2006) Signal-to-noise ratio. Scholarpedia, 1(12):2088.
* S. Murray Sherman (2006) Thalamus. Scholarpedia, 1(9):1583.

## [edit] See also

Amygdala, Classical Conditioning, Cortex, Dopamine, Hippocampus, Models of Basal Ganglia,Motivation, Operant Conditioning, Reinforcement, Reinforcement Learning, Reward, Reward Signals, Thalamus, Up and Down States