Review
A behavioral neuroenergetics theory of ADHD

https://doi.org/10.1016/j.neubiorev.2013.02.011Get rights and content

Abstract

Energetic insufficiency in neurons due to inadequate lactate supply is implicated in several neuropathologies, including attention-deficit/hyperactivity disorder (ADHD). By formalizing the mechanism and implications of such constraints on function, the behavioral Neuroenergetics Theory (NeT) predicts the results of many neuropsychological tasks involving individuals with ADHD and kindred dysfunctions, and entails many novel predictions. The associated diffusion model predicts that response times will follow a mixture of Wald distributions from the attentive state, and ex-Wald distributions after attentional lapses. It is inferred from the model that ADHD participants can bring only 75–85% of the neurocognitive energy to bear on tasks, and allocate only about 85% of the cognitive resources of comparison groups. Parameters derived from the model in specific tasks predict performance in other tasks, and in clinical conditions often associated with ADHD. The primary action of therapeutic stimulants is to increase norepinephrine in active regions of the brain. This activates glial adrenoceptors, increasing the release of lactate from astrocytes to fuel depleted neurons. The theory is aligned with other approaches and integrated with more general theories of ADHD. Therapeutic implications are explored.

Highlights

► The neurons of ADHD brains cannot recruit adequate lactate from astrocytes. ► Resulting hypoenergy causes attention drift, mental fatigue, response variability. ► Methylphenidate is effective because it inhibits norepinephrine reuptake. ► Norepinephrine and glutamate stimulate astrocytes to release needed lactate. ► Described by a diffusion model of responding, attentional drift and recapture.

Introduction

the engine is intact, but there is a problem with the petrol supply

(Van der Meere, 2002)

The human brain is distinguished from that of other species by a cerebral cortex enlarged to support the development of language and complex social behavior. Constituting only 2% of the body's weight, it utilizes 25% of total glucose production, for perception, response generation, and the intrinsic neuronal processing that informed responses require (Zhang and Raichle, 2010). Not only do humans possess more neurons than other species, those neurons are hungrier, due to their expansive dendritic arbors and long-range projecting axons throughout that large volume (Sherwood et al., 2006). The transport and refinement of their food stock, glucose, from blood vessels is mediated by glial cells, which, in the human brain, are about as numerous as neurons (Azevedo et al., 2009). Astrocytes ferry glucose from capillaries, store it as glycogen, and convert it to lactate, the primary fuel of rapidly firing neurons. Astroglia also assist the neuron in providing other nutrients, maintaining the composition of the extracellular fluid and clearing neurotransmitters from the synaptic cleft.

Todd and Botteron (2001) suggested that some forms of neuropsychiatric disorder may be viewed as cortical energy-deficit syndromes secondary to hypofunctionality of catecholamine systems that regulate astrocyte glucose and glycogen metabolism. This suggestion was examined in detail by Russell et al. (2006), who explored its implications for attention-deficit hyperactivity disorder (ADHD). They hypothesized that ADHD symptoms, particularly the marked intra-individual variation that characterizes them, may arise as a result of impaired lactate production by astrocytes that is, insufficient to meet energy demands, resulting in a supply of adenosine triphosphate (ATP) inadequate to maintain ion gradients across neuronal membranes. This would impair timing of motor responses, leading to slow and variable reaction times in energy-demanding tasks like complex cognition and rapid externally paced responding, such as finger tapping–especially when regulated by the characteristically unmyelinated, energetically inefficient axons of dopaminergic neurons. Some areas of the brain are differentially impacted—the right prefrontal cortex, basal ganglia, and vermis of the cerebellum—are smaller in individuals with ADHD, and they also take up less glucose when activated (Castellanos et al., 2001, Hart et al., 2012, Paloyelis et al., 2007, Vaidya et al., 2005, Yu-Feng et al., 2007).

How does one translate this hypoenergetic hypothesis into testable predictions? The strategy of this paper is to develop a cartoon compartment model of the neural energetics required to support rapid neural firing—the neuroenergetics mass-action model (NEMA). Whereas the actual energetic process is very complex (see Section 3), NEMA suffices to trace the time-course of critical processes at a level that contacts the relevant behavioral data, adumbrated in Section 2. Thereafter (Section 4) the simplest of process models is adduced to map the behavior of persons with ADHD and matched control groups to the neuroenergetic processes—the behavioral neuroenergetics theory of ADHD (NeT). It is a behavioral theory because, whereas we exploit data collected under various cognitive rubrics such as inhibition, inattention, working memory, and executive function, our theory neither invokes these, nor explains its data in terms of them. It is neurobehavioral. It combines a drift model of response times from the attentive state with a Markov model of the lapse and recovery of attention. In Section 5, NeT is related to other theories of ADHD, such as the cognitive-energetics theory (Sergeant, 2005), and provides the biological definition of energy pools, and quantitative predictions of task effects missing from that theory. Section 6 reviews the role of pharmacological agents. Section 7 summarizes these results, reviews predictions of the theory, and draws implications for future research and treatment.

Section snippets

Exemplary phenomena to be explained

The diagnosis of ADHD is a complex and controversial adjudication, as ADHD constitutes not so much a taxon as an extreme range of scores in a multidimensional character state (Coghill and Sonuga-Barke, 2012), parts of which range are also occupied by other psychiatric disorders. It is therefore necessary to delimit the phenomenon and clarify the domain of the proposed theory.

Neuroenergetics

In this section we describe how the release of glutamate by neurons stimulates astroglia, both directly and through secondary release of norepinephrine from neural varicosities. That stimulation increases the glial cells’ uptake and metabolism of glucose, to energize its own responsibilities in clearing glutamate, transforming it into glutamine, and transferring it back to the neuron. That stimulation also causes the glia to produce lactate, which is a crucial fuel for the neuron. It is our

Applications to data

Swanson et al. (Swanson et al., 2010; also see Willcutt et al., 2008, Williams et al., 2010) summarized the meta-analyses of neuropsychological tasks for ADHD reported by (Nigg, 2005) and (Willcutt et al., 2005). Those tests with the largest effect sizes are analyzed here.

Embedding NeT in a causal framework

Killeen et al. (2012) proposed an explanatory framework for ADHD based on the four kinds of knowledge that comprise understanding: that of the causes, substrates, functions, and of the models by which we define and interpret a thing. Each kind has both a proximate (immediate, molecular) core and an ultimate (longer-term, molar) shell. The present paper has been concerned with the proximate material causes of ADHD, the machinery that appears to be broken. It is important to situate this

The role of pharmacological agents

All pharmacotherapies for ADHD facilitate catecholamine function, either by increasing extracellular concentrations of norepinephrine and dopamine (the transporter blockers: methylphenidate, amphetamine, atomoxetine, modafinil, desipramine, and monoamine oxidase inhibitors), or by acting directly on noradrenergic receptors (guanfacine, an α2A-adrenoceptor agonist). Some of these are stimulants, some not; what they have in common is their ability to stimulate the release of lactate from

The neuroenergetics mass-action model (NEMA) and the behavioral neuroenergetics theory (NeT)

ADHD is clinically heterogeneous, and research into this disorder is diverse—not only in the methodologies used, but also the range of results reported. There is a need to integrate the diverse findings. Over 300 meta-analyses have been conducted in an attempt to increase analytic power in specifying differences between ADHD and TDCs. This is an empirical, inductive form of integration. Theoretical modeling—for example the dual pathway theory and its revision (Sonuga-Barke et al., 2010)—is a

Acknowledgments

This article would not have been written without the early support of the Norwegian Centre for Advanced Study, and the leadership there of Terje Sagvolden. We thank Rosemary Tannock for comments on the manuscript, and Paige Scalf for reminding us of the attention and organizational deficits found in MS patients. Two anonymous reviewers greatly sharpened the arguments and text.

References (380)

  • S.D. Brown et al.

    The simplest complete model of choice response time: linear ballistic accumulation

    Cognitive Psychology

    (2008)
  • G. Bush et al.

    Anterior cingulate cortex dysfunction in attention-deficit/hyperactivity disorder revealed by fMRI and the Counting Stroop

    Biological Psychiatry

    (1999)
  • F.P. Bymaster et al.

    Atomoxetine increases extracellular levels of norepinephrine and dopamine in prefrontal cortex of rat: a potential mechanism for efficacy in attention deficit/hyperactivity disorder

    Neuropsychopharmacology

    (2002)
  • B.C. Carter et al.

    Sodium entry during action potentials of mammalian neurons: incomplete inactivation and reduced metabolic efficiency in fast-spiking neurons

    Neuron

    (2009)
  • D.N. Cassenti

    The intrinsic link between motor behavior and temporal cognition

    New Ideas in Psychology

    (2011)
  • F.X. Castellanos et al.

    Varieties of attention-deficit/hyperactivity disorder-related intra-individual variability

    Biological Psychiatry

    (2005)
  • H.B. Choi et al.

    Metabolic communication between astrocytes and neurons via bicarbonate-responsive soluble adenylyl cyclase

    Neuron

    (2012)
  • A.M. Chronis et al.

    Evidence-based psychosocial treatments for children and adolescents with attention-deficit/hyperactivity disorder

    Clinical Psychology Review

    (2006)
  • L. Clark et al.

    Association between response inhibition and working memory in adult ADHD: a link to right frontal cortex pathology?

    Biological Psychiatry

    (2007)
  • D. Cohen

    Probabilistic epigenesis: an alternative causal model for conduct disorders in children and adolescents

    Neuroscience and Biobehavioral Reviews

    (2010)
  • M. Costa-Mattioli et al.

    Translational control of long-lasting synaptic plasticity and memory

    Neuron

    (2009)
  • N. Cowan

    What are the differences between long-term, short-term, and working memory?

    Progress in Brain Research

    (2008)
  • R.A. Cowell et al.

    Empiricists are from venus, modelers are from mars: reconciling experimental and computational approaches in cognitive neuroscience

    Neuroscience and Biobehavioral Reviews

    (2012)
  • J.W. Dalley et al.

    Impulsivity, compulsivity, and top-down cognitive control

    Neuron

    (2011)
  • A.V. Dane et al.

    Does actigraphy differentiate ADHD subtypes in a clinical research setting?

    Journal of the American Academy of Child and Adolescent Psychiatry

    (2000)
  • L. De Sonneville et al.

    Information processing characteristics in subtypes of multiple sclerosis

    Neuropsychologia

    (2002)
  • J. DeKeyser et al.

    Astrocytic β2-adrenergic receptors and multiple sclerosis

    Neurobiology of Disease

    (2004)
  • N. del Campo et al.

    The roles of dopamine and noradrenaline in the pathophysiology and treatment of attention-deficit/hyperactivity disorder

    Biological Psychiatry

    (2011)
  • A. Dietrich et al.

    Baroreflex sensitivity during rest and executive functioning in attention-deficit/hyperactivity disorder. The TRAILS study

    Biological Psychology

    (2012)
  • S. Durston et al.

    Differential patterns of striatal activation in young children with and without ADHD

    Biological Psychiatry

    (2003)
  • M.J. Dyck et al.

    The validity of psychiatric diagnoses: the case of ‘specific’ developmental disorders

    Research in Developmental Disabilities

    (2011)
  • G.A. Fabiano et al.

    A meta-analysis of behavioral treatments for attention-deficit/hyperactivity disorder

    Clinical Psychology Review

    (2009)
  • E. Alberts et al.

    Observations of hyperactive behaviour during vigilance

    Journal of Child Psychology and Psychiatry, and Allied Disciplines

    (1992)
  • R.M. Alderson et al.

    Hyperactivity in boys with attention deficit/hyperactivity disorder (ADHD): the association between deficient behavioral inhibition, attentional processes, and objectively measured activity

    Child Neuropsychology: A Journal on Normal and Abnormal Development in Childhood and Adolescence

    (2012)
  • R.M. Alderson et al.

    Attention-deficit/hyperactivity disorder and behavioral inhibition: a meta-analytic review of the stop-signal paradigm

    Journal of Abnormal Child Psychology

    (2007)
  • R.M. Alderson et al.

    ADHD and behavioral inhibition: a re-examination of the stop-signal task

    Journal of Abnormal Child Psychology

    (2008)
  • T.P. Alloway et al.

    Verbal and visuospatial short-term and working memory in children: are they separable?

    Child Development

    (2006)
  • American-Psychiatric-Association

    Diagnostic and Statistical Manual of Mental Disorders

    (1994)
  • P.N. Andersen et al.

    Learning and memory impairments in children and adolescents with Attention-Deficit/Hyperactivity Disorder

    Journal of Learning Disabilities

    (2012)
  • A. Angold et al.

    Pubertal changes in hormone levels and depression in girls

    Psychological Medicine

    (1999)
  • A. Arias-Vásquez et al.

    CDH13 is associated with working memory performance in attention deficit/hyperactivity disorder

    Genes, Brain and Behavior

    (2011)
  • P. Asherson et al.

    Quantitative and molecular genetics of ADHD

    Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder and its Treatment

    (2012)
  • C.L. Asplund et al.

    A central role for the lateral prefrontal cortex in goal-directed and stimulus-driven attention

    Nature Neuroscience

    (2010)
  • G. Aston-Jones et al.

    An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance

    Annual Review of Neuroscience

    (2005)
  • D. Attwell et al.

    Neuroenergetics and the kinetic design of excitatory synapses

    Nature Reviews. Neuroscience

    (2005)
  • D. Attwell et al.

    An energy budget for signaling in the grey matter of the brain

    Journal of Cerebral Blood Flow and Metabolism

    (2001)
  • A. Aubert et al.

    Compartmentalization of brain energy metabolism between glia and neurons: insights from mathematical modeling

    Glia

    (2007)
  • A. Aubert et al.

    Brain lactate kinetics: modeling evidence for neuronal lactate uptake upon activation

    Proceedings of the National Academy of Sciences

    (2005)
  • F.A.C. Azevedo et al.

    Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled up primate brain

    The Journal of Comparative Neurology

    (2009)
  • T. Banaschewski et al.

    Molecular genetics of attention-deficit/hyperactivity disorder: an overview

    European Child & Adolescent Psychiatry

    (2010)
  • Cited by (0)

    View full text