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Published in: Brain Structure and Function 2/2017

Open Access 01-03-2017 | Review

The functional logic of corticostriatal connections

Author: Stewart Shipp

Published in: Brain Structure and Function | Issue 2/2017

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Abstract

Unidirectional connections from the cortex to the matrix of the corpus striatum initiate the cortico-basal ganglia (BG)-thalamocortical loop, thought to be important in momentary action selection and in longer-term fine tuning of behavioural repertoire; a discrete set of striatal compartments, striosomes, has the complementary role of registering or anticipating reward that shapes corticostriatal plasticity. Re-entrant signals traversing the cortico-BG loop impact predominantly frontal cortices, conveyed through topographically ordered output channels; by contrast, striatal input signals originate from a far broader span of cortex, and are far more divergent in their termination. The term ‘disclosed loop’ is introduced to describe this organisation: a closed circuit that is open to outside influence at the initial stage of cortical input. The closed circuit component of corticostriatal afferents is newly dubbed ‘operative’, as it is proposed to establish the bid for action selection on the part of an incipient cortical action plan; the broader set of converging corticostriatal afferents is described as contextual. A corollary of this proposal is that every unit of the striatal volume, including the long, C-shaped tail of the caudate nucleus, should receive a mandatory component of operative input, and hence include at least one area of BG-recipient cortex amongst the sources of its corticostriatal afferents. Individual operative afferents contact twin classes of GABAergic striatal projection neuron (SPN), distinguished by their neurochemical character, and onward circuitry. This is the basis of the classic direct and indirect pathway model of the cortico-BG loop. Each pathway utilises a serial chain of inhibition, with two such links, or three, providing positive and negative feedback, respectively. Operative co-activation of direct and indirect SPNs is, therefore, pictured to simultaneously promote action, and to restrain it. The balance of this rival activity is determined by the contextual inputs, which summarise the external and internal sensory environment, and the state of ongoing behavioural priorities. Notably, the distributed sources of contextual convergence upon a striatal locus mirror the transcortical network harnessed by the origin of the operative input to that locus, thereby capturing a similar set of contingencies relevant to determining action. The disclosed loop formulation of corticostriatal and subsequent BG loop circuitry, as advanced here, refines the operating rationale of the classic model and allows the integration of more recent anatomical and physiological data, some of which can appear at variance with the classic model. Equally, it provides a lucid functional context for continuing cellular studies of SPN biophysics and mechanisms of synaptic plasticity.
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Footnotes
1
This is particularly the case for optogenetic and other applications in transgenic mice.
 
2
A few select models will illustrate certain computational principles; many other variants exist.
 
3
This relates to the distinction between ‘PT’ and ‘IT’ corticostriatal neurons, shown later in Table 1.
 
4
The absence of input from V1 (striate cortex) is fortunate, inasmuch as it obviates reference to a ‘striatostriatal’ projection.
 
5
The lack (until recently) of a ‘dual label’ viral technology prevented use of a dual cortical injection site strategy to infer topography within a single case.
 
6
For clarity of reference, the term ‘overlap’ will be used to refer exclusively to fields of patches, i.e. all the territory enclosed within a boundary described by the outermost patches; ‘coincidence’ will refer to precise (or partial) superimposition of individual patches, as demonstrated by a double-labelling technique.
 
7
The connectivity matrix of Markov et al (2014) reports retrograde tracer connections amongst 91 areas; 7A and 46d each connect with 59 other areas, 45 of which are mutual; hence, ‘network overlap’ = 45/59 = 76 %.
 
8
MR diffusion tractography is incapable of measuring the direction of a connection—the cortex to striatum direction has to be inferred from homology to the monkey.
 
9
i.e. cortico-striato-nigro-thalamocortical or cortico-striato-pallido-thalamocortical.
 
10
This is the outcome when the cortex from both hemispheres was subdivided into an arbitrary total of 7 networks; the seventh subdivision, an occipital visual network, had no representation at all within the striatal parcellation.
 
11
The immunohistochemical techniques in this study were not capable of identifying D1R and D2R in the same tissue (in addition to the retrograde tracer) so co-expression of D1R and D2R was not directly observed, but statistically inferred.
 
12
This property was documented for both dSPN and iSPN, as identified in BAC transgenic mice.
 
13
It bears repetition that this is entirely conjectural. There is no direct anatomical evidence for differential termination of PT or IT corticostriatal afferents within the SPN dendritic field, and the PDS model of SPN biophysics itself requires further experimental validation.
 
14
Even if tonic dopaminergic levels only affect iSPN activity through the more sensitive D2 receptor (Tritsch and Sabatini 2012), this can still regulate the relative activity of dSPN and iSPN – in a way that might be mimicked by selective optogenetic stimulation of either cell class.
 
15
Cazorla et al (2014) found that selective enhancement of the excitability of iSPNs triggered plastic expansion of dSPN collaterals in GPe, but not in SNr; by contrast, selective enhancement of the excitability of dSPNs triggered plastic expansion of dSPN collaterals in SNr, but not GPe.
 
16
The precise figures cited (for putamen only) were SNr = 17 %, GPi = 55 % and GPe = 28 %.
 
17
Yeterian and Van Hoesen (1978).
 
18
Plotkin et al. (2011).
 
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Metadata
Title
The functional logic of corticostriatal connections
Author
Stewart Shipp
Publication date
01-03-2017
Publisher
Springer Berlin Heidelberg
Published in
Brain Structure and Function / Issue 2/2017
Print ISSN: 1863-2653
Electronic ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-016-1250-9

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