Elsevier

Brain Research Reviews

Volume 51, Issue 2, August 2006, Pages 145-160
Brain Research Reviews

Review
More attention must be paid: The neurobiology of attentional effort

https://doi.org/10.1016/j.brainresrev.2005.11.002Get rights and content

Abstract

Increases in attentional effort are defined as the motivated activation of attentional systems in response to detrimental challenges on attentional performance, such as the presentation of distractors, prolonged time-on-task, changing target stimulus characteristics and stimulus presentation parameters, circadian phase shifts, stress or sickness. Increases in attentional effort are motivated by the expected performance outcome; in the absence of such motivation, attentional performance continues to decline or may cease altogether. The beneficial effects of increased attentional effort are due in part to the activation of top-down mechanisms that act to optimize input detection and processing, thereby stabilizing or recovering attentional performance in response to challenges. Following a description of the psychological construct “attentional effort”, evidence is reviewed indicating that increases in the activity of cortical cholinergic inputs represent a major component of the neuronal circuitry mediating increases in attentional effort. A neuronal model describes how error detection and reward loss, indicating declining performance, are integrated with motivational mechanisms on the basis of neuronal circuits between prefrontal/anterior cingulate and mesolimbic regions. The cortical cholinergic input system is activated by projections of mesolimbic structures to the basal forebrain cholinergic system. In prefrontal regions, increases in cholinergic activity are hypothesized to contribute to the activation of the anterior attention system and associated executive functions, particularly the top-down optimization of input processing in sensory regions. Moreover, and influenced in part by prefrontal projections to the basal forebrain, increases in cholinergic activity in sensory and other posterior cortical regions contribute directly to the modification of receptive field properties or the suppression of contextual information and, therefore, to the mediation of top-down effects. The definition of attentional effort as a cognitive incentive, and the description of a neuronal circuitry model that integrates brain systems involved in performance monitoring, the processing of incentives, activation of attention systems and modulation of input functions, suggest that ‘attentional effort’ represents a viable construct for cognitive neuroscience research.

Introduction

Increasing attentional ‘effort’ as a result of challenging circumstances, and as a function of the motivation to maintain or recover attentional performance, represents an everyday experience. To paraphrase and modify a famous statement: every one knows what increases in attentional effort are. For example, consider your drive home from work; yesterday it was uneventful and you used a well-practiced route that makes minimal demands on your attentional resources; indeed, you do not even recall whether the traffic light actually was on green as you made it through that intersection. But today, you did not sleep much last night, you had an exhausting day, or you feel that you are getting sick, and you are having trouble concentrating, but the last thing you need is another ticket. You will increase your attentional ‘effort’ to ensure that you will not miss a red light or a sign, and you will also closely monitor your speed, while looking out for that police car.

However, theoretically and experimentally, ‘attentional effort’ has remained an undefined concept. Indeed, James (1890) dismissed the issue outright, concluding that “… the notion that our effort in attending is an original faculty, a force additional to the others of which brain and mind are the seat, may be an abject superstition” (p. 452). “Attentional effort” typically has been cited in the literature in order to explain the performance in difficult tasks, or in tasks involving attentional shifts or switching modalities. Thus, ‘attentional effort’ has been generally considered a function of task difficulty. An arguably more useful conceptualization of attentional effort, as a function of the subject's motivation to perform, particularly following performance challenges, is proposed below. Furthermore, we present a model that describes the interactions between cortical, mesolimbic and cholinergic systems considered essential for activating attentional systems and resources as a result of performance challenges and the subjects' motivation to recover performance or limit performance decline. This model also provides avenues toward the dissociation between attentional processes and changes in reward contingencies (Maunsell, 2004).

Section snippets

Attentional effort as a cognitive incentive

The role and function of increases in attentional effort have been captured in the context of two major theoretical perspectives, (1) capacity models of attention and (2) top-town regulation of attentional functions. Because of the limited capacity for attentional processing, Kahneman (1973) suggested that the “mobilization of effort in a task is controlled by the demands of the task rather than by the performer's intentions” (p. 17). However, this focus on task demands as the main determinant

Top-down mechanisms mediate the effects of attentional effort

The recovery or stabilization of attentional performance under challenging conditions, or the enhancement of attentional processes in response to increased incentives, requires mechanisms which act to optimize input processing, noise filtering, and the redistribution and focusing of processing resources. Such functions have been conceptualized as being orchestrated by “supervisory attentional systems” (Norman and Shallice, 1986, Stuss et al., 1995), a ‘central executive control’ (Baddeley, 1986

Evidence from human imaging studies

Human neuroimaging data from studies in which attentional effort was considered a cognitive incentive and varied systematically do not appear to be available. However, a relatively rich literature describes brain metabolic correlates of increases in task difficulty, switching between tasks and/or shifts between stimulus modalities. As subjects typically comply with such challenges in laboratory settings, increases in attentional effort may be speculated to mediate the continuing, even if

Linking motivation with attention: mesolimbic regulation of prefrontal ACh efflux

Collectively, the evidence and hypotheses discussed above form the basis for the following main hypotheses:

  • (1)

    Increases in attentional effort are a function of the subjects' motivation to recover from the performance effects of detrimental manipulations and/or to maintain residual performance.

  • (2)

    Increased activity of prefrontal cholinergic inputs represents an essential component of the neuronal mechanisms mediating increases in attentional effort. Increased prefrontal cholinergic activity

Conclusions

Attentional effort is conceptualized as a motivated activation of attention systems in order to stabilize or recover attentional performance in response to the detection of errors and reward loss or, more generally, deteriorating attentional performance. Furthermore, a necessarily simplistic neuronal circuitry model is described that links performance monitoring with motivational systems which, in turn, activate basal forebrain cholinergic projections to the cortex. Evidence indicates that

Acknowledgments

Our research (MS) was supported by PHS grants KO2 MH01072, NS37026, MH063114 and MH073600.

References (186)

  • J.T. Coull et al.

    Monitoring for target objects: activation of right frontal and parietal cortices with increasing time on task

    Neuropsychologia

    (1998)
  • J.M. Delfs et al.

    Origin of noradrenergic afferents to the shell subregion of the nucleus accumbens: anterograde and retrograde tract-tracing studies in the rat

    Brain Res.

    (1998)
  • D.J. Echevarria et al.

    Construct validity of an operant signal detection task for rats

    Behav. Brain Res.

    (2005)
  • W.J. Gehring et al.

    Lateral prefrontal damage affects processing selection but not attention switching

    Brain Res. Cogn Brain Res.

    (2002)
  • M. Gorissen et al.

    Effort and cognition in schizophrenia patients

    Schizophr. Res.

    (2005)
  • M.E. Hasselmo

    Neuromodulation and cortical function: modeling the physiological basis of behavior

    Behav. Brain Res.

    (1995)
  • A.M. Himmelheber et al.

    Effects of intra-accumbens infusions of amphetamine or cis-flupenthixol on sustained attention performance in rats

    Behav. Brain Res.

    (2000)
  • A.M. Himmelheber et al.

    Increases in cortical acetylcholine release during sustained attention performance in rats

    Cogn. Brain Res.

    (2000)
  • S. Kastner et al.

    Increased activity in human visual cortex during directed attention in the absence of visual stimulation

    Neuron

    (1999)
  • M. Laruelle

    The role of endogenous sensitization in the pathophysiology of schizophrenia: implications from recent brain imaging studies

    Brain Res. Brain Res. Rev.

    (2000)
  • N. Lavie

    Distracted and confused? Selective attention under load

    Trends Cogn. Sci.

    (2005)
  • P.G. Luiten et al.

    Cortical projection patterns of magnocellular basal nucleus subdivisions as revealed by anterogradely transported Phaseolus vulgaris leucoagglutinin

    Brain Res.

    (1987)
  • P. Maruff et al.

    Deficits in the endogenous redirection of covert visual attention in chronic schizophrenia

    Neuropsychologia

    (1996)
  • J.H. Maunsell

    Neuronal representations of cognitive state: reward or attention?

    Trends Cogn. Sci.

    (2004)
  • J. McGaughy et al.

    The role of cortical cholinergic afferent projections in cognition: impact of new selective immunotoxins

    Behav. Brain Res.

    (2000)
  • L.A. Miner et al.

    Intra-accumbens infusions of antisense oligodeoxynucleotides to one isoform of glutamic acid decarboxylase mRNA, GAD65, but not to GAD67 mRNA, impairs sustained attention performance in the rat

    Brain Res. Cogn. Brain Res.

    (1999)
  • A.D. Baddeley

    Working Memory

    (1986)
  • V. Bassareo et al.

    Non-psychostimulant drugs of abuse and anxiogenic drugs activate with differential selectivity dopamine transmission in the nucleus accumbens and in the medial prefrontal cortex of the rat

    Psychopharmacology (Berlin)

    (1996)
  • M.M. Botvinick et al.

    Conflict monitoring and cognitive control

    Psychol. Rev.

    (2001)
  • C.W. Bradberry et al.

    The anxiogenic beta-carboline FG 7142 selectively increases dopamine release in rat prefrontal cortex as measured by microdialysis

    J. Neurochem.

    (1991)
  • A.M. Brady et al.

    Dopaminergic modulation of prefrontal cortical input to nucleus accumbens neurons in vivo

    J. Neurosci.

    (2004)
  • N. Brose et al.

    Effects of an anxiogenic benzodiazepine receptor ligand on motor activity and dopamine release in nucleus accumbens and striatum in the rat

    J. Neurosci.

    (1987)
  • J.W. Brown et al.

    Learned predictions of error likelihood in the anterior cingulate cortex

    Science

    (2005)
  • G. Bush et al.

    Dorsal anterior cingulate cortex: a role in reward-based decision making

    Proc. Natl. Acad. Sci. U. S. A.

    (2002)
  • D.B. Carr et al.

    Projections from the rat prefrontal cortex to the ventral tegmental area: target specificity in the synaptic associations with mesoaccumbens and mesocortical neurons

    J. Neurosci.

    (2000)
  • D.B. Carr et al.

    Dopamine terminals in the rat prefrontal cortex synapse on pyramidal cells that project to the nucleus accumbens

    J. Neurosci.

    (1999)
  • C.S. Carter et al.

    Anterior cingulate cortex, error detection, and the online monitoring of performance

    Science

    (1998)
  • C.S. Carter et al.

    Parsing executive processes: strategic vs. evaluative functions of the anterior cingulate cortex

    Proc. Natl. Acad. Sci. U. S. A.

    (2000)
  • L.L. Chao et al.

    Prefrontal deficits in attention and inhibitory control with aging

    Cereb. Cortex

    (1997)
  • A.A. Chiba et al.

    Basal forebrain cholinergic lesions disrupt increments but not decrements in conditioned stimulus processing

    J. Neurosci.

    (1995)
  • A. Christakou et al.

    Prefrontal cortical–ventral striatal interactions involved in affective modulation of attentional performance: implications for corticostriatal circuit function

    J. Neurosci.

    (2004)
  • E.C. Clayton et al.

    Phasic activation of monkey locus ceruleus neurons by simple decisions in a forced-choice task

    J. Neurosci.

    (2004)
  • J.D. Cohen et al.

    Anterior cingulate and prefrontal cortex: who's in control?

    Nat. Neurosci.

    (2000)
  • R. Cohen et al.

    Impairments of attention and effort among patients with major affective disorders

    J. Neuropsychiatry Clin. Neurosci.

    (2001)
  • S.C. Collyer

    Incentive Motivation and Choice Reaction Time Performance

  • M. Corbetta et al.

    Control of goal-directed and stimulus-driven attention in the brain

    Nat. Rev., Neurosci.

    (2002)
  • J.T. Coull et al.

    The neural correlates of the noradrenergic modulation of human attention, arousal and learning

    Eur. J. Neurosci.

    (1997)
  • J.T. Coull et al.

    The noradrenergic alpha2 agonist clonidine modulates behavioural and neuroanatomical correlates of human attentional orienting and alerting

    Cereb. Cortex

    (2001)
  • J.W. Dalley et al.

    Distinct changes in cortical acetylcholine and noradrenaline efflux during contingent and noncontingent performance of a visual attentional task

    J. Neurosci.

    (2001)
  • J.M. Edeline

    The thalamo-cortical auditory receptive fields: regulation by the states of vigilance, learning and the neuromodulatory systems

    Exp. Brain Res.

    (2003)
  • Cited by (444)

    • The basal forebrain serves social information processing

      2024, Current Opinion in Behavioral Sciences
    • Cholinergic modulation of sensory perception and plasticity

      2023, Neuroscience and Biobehavioral Reviews
    View all citing articles on Scopus
    View full text