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Dialogues Clin Neurosci. 2012 March; 14(1): 39–47.
PMCID: PMC3341648

Language: English | Spanish | French

Executive control: balancing stability and flexibility via the duality of evolutionary neuroanatomical trends

Control ejecutivo: equilibrando la estabilidad y flexibilidad a través de la dualidad de las tendencias neuroanatómicas evolutivas

Contrôle exécutif: équilibre entre stabilité et flexibilité via la dualité des tendances neuroanatomiques évolutionistes


The concept of executive functions has a rich history and remains current despite increased use of other terms, including working memory and cognitive control. Executive functions have sometimes been equated with functions subserved by the frontal cortex, but this adds little clarity, given that we so far lack a comprehensive theory of frontal function. Pending a more complete mechanistic understanding, clinically useful generalizations can help characterize both healthy cognition and multiple varieties of cognitive impairment. This article surveys several hierarchical and autoregulatory control theories, and suggests that the evolutionary cytoarchitectonic trends theory provides a valuable neuroanatomical framework to help organize research on frontal structure-function relations. The theory suggests that paleocortical/ventrolateral and archicortical/dorsomedial trends are associated with neural network flexibility and stability respectively, which comports well with multiple other conceptual distinctions that have been proposed to characterize ventral and dorsal frontal functions, including the “initiation/inhibition,” “what/where,” and “classification/expectation” hypotheses.

Keywords: executive function, cognitive control, frontal lobe, working memory, neuroanatomy, cognition, neuropsychology


El concepio de funciones ejecutivas tiene una rica historia y se mantiene vigente a pesar del incremento del empleo de otros terminos, incluyendo los de memoria de trabajo y control cognitivo. Las funciones ejecutivas algunas voces se ban identificado con funciones dependientes de la corieza frontal, pero esto no aclara mucho, dado que a la fecha se carece de una teorfa comprensible de la funcion frontal, Mientras se espera una comprension mecanicista mas compleia, las generalizaciones de utilidad clinica pueden ayudar a caracierizar tanto la cognición normal como múltiples variedades del deierioro cognitivo, Este articulo revisa algunas toorias que incluyen el control jerárquico y la autorregulación, y sugiere que las tendencias de las teorfas evolutivas de la ciioarquitectura aporian un valioso soporte neuroanatómico para ayudar a organizar la investigación de las relaciones entre función y estructura frontal. La teorfa sugiere que las vias paleocortical/venirolateral y arquicoriicalfdorsomedial están asociadas con la flexibllidad y la establlidad de la red neural respective mente, lo que concuerda basiante con otras multiples distinciones conceptuales que se han propuesto para caracierizar las funciones frontales ventral y dorsal, incluyendo las hipótesis de “inicio/inhibición”, “quéldónde ” y “clasificación/expectación ”.


Le concept de fonctions exécutives a une histoire riche et reste actuel malgré l'utilisation accrue d'autres termes, comme la mémoire de travail et le contrôle cognitif. Les fonctions exécutives ont parfois été assimilées aux fonctions favorisées par le cortex frontal, ce qui éclaire peu le sujet, car nous manquons jusqu'à maintenant d'une théorie complète de la fonction frontale, Dans I'attente d'une compréhension mécaniste plus complète, des généralisations cliniquement utiles peuvent aider à caractériser à la fois une cognition saine et des variétés multiples de déficits cognitifs. Cet article passe en revue plusieurs théories de contrôle hiérarchique et d'autorégulation, et suggère que la théorie des tendances cytoarchitecioniques évolutionistes apporte un cadre neuroanatomique tres utile pour aider l'organisation de la recherche des relations structure-fonction frontales. La théorie suggère que des tendances paléocorticales/ventrolatérales et archicorticales/dorsomédiales sont associées respectivement a la stabilité et à la flexibilité du réseau neuronal, ce qui concorde avec de nombreuses autres distinctions conceptuelles proposées pour caractériser les fonctions frontales dorsales et ventrales, comme les hypothèses d'« initiation/inhibition », de « quoi/où », et de « classification/anticipation ».


Executive functions have enjoyed diverse definitions, but most agree that these functions represent the pinnacle of phylogenetic and ontogenetic development within the brain. Many views of executive functions equate these with the functioning of frontal lobe systems, but changes in usage over the last few decades reflect differences in research focus on component processes, and the perspectives advanced in cognitive psychology and cognitive neuroscience relative to those that were the prior focus of clinical neuropsychology and neurology. This article provides limited historical perspective, summarizes several overarching theoretical views of executive functions, and suggests that it is valuable to focus on a fundamental functional distinction between operations supporting stability and flexibility of neural network activation states and associated cognitive representations. This functional distinction is linked to a fundamental duality in evolutionary cytoarchitectonic trends that map onto dorsomedial archicortical and ventrolateral paleocortical neural systems. This perspective may help align cognitive neuroscience research with functional distinctions that have clearer neuroanatomical bases, help us understand clinical impairments of executive control, and ultimately provide new clues to more effective treatments.

Historical context: a rose is a rose is a rose; or is it?

The concept of executive functions and the links of these functions to frontal lobe systems have rich legacies, with roots dating back to the mid-19th century and continued widespread use in the modern literature. Some early uses of the concept are found at least by 1861, when Gratiolet referred to the frontal lobes as the site of the “regulating mind” or the “supreme organ of the brain.”1 Luria also credits Broadbent2,3 and Jackson4,5 with early development of concepts regarding the importance of the frontal lobes In the hierarchical regulation of behavior.

The actual use of the term “executive function” to refer to frontal lobe function has been credited to Karl Pribram, who wrote In 1973: “ the frontal cortex appears critically involved in implementing executive programs when these are necessary to maintain brain organization in the face of insufficient redundancy in input processing and in the outcomes of behavior”6 (p 312). Pribram's usage here was tied to then-current computer terminology referring to “flexible noticing order programs” that were applied in the sequencing and tracking of routines in a context-sensitive manner, and in this way he distinguished such control processes from strictly hierarchical programs which are context-free.

The term “working memory” (a coinage attributed to Miller, Galanter, and Pribram7) developed its own niche role as one of the components of “executive function.” This may be attributed at least in part to the widespread uptake of the term in cognitive psychology following its use in influential works by Alan Baddeley and colleagues.8 Many of these cognitive works assiduously avoided attributions to specific brain mechanisms, despite knowledge that the frontal lobes were critical for delayed response task performance.9 Later experiments provided considerably greater detail about the specific nature of the deficit produced by frontal versus posterior cortical lesions on these behaviors, documenting firing patterns of prefrontal pyramidal cells during delay periods, and using selective lesions to reveal the roles of reciprocal connections between frontal and posterior cortical regions, the relations of these transmissions to graded electrical potential changes over relevant cortical or scalp regions (reviewed by Pribram and McGuinness10,11), and then linking these sustained activation patterns to specific pharmacological manipulations, particularly of dopamine (DA) neurons.12-13 Today this work has progressed to include biophysically detailed models of mechanisms responsible for stabilizing and introducing flexibility into sustained activation states of these neural networks.14-16

To highlight how construct labels may impact science, however, it is exemplary to consider what happened to the term “executive functions” in the project - Measurement and Treatment Research to Improve Cognition In Schizophrenia (MATRICS). Considerable research already had documented impairment on multiple tasks of executive function, and many reports highlighted the impairments of executive control as among the most severe deficits in people with schizophrenia,17-19 and showed that these were important in functional impairment,20 leading to hypotheses that developmental dysfunctions affecting frontal lobe systems may be central to the pathophysiology of schizophrenia.21-25 But in consensus meetings and reviews of factor analytic studies it was determined that the term “reasoning and problem solving” had the “advantage of distinguishing this domain from working memory.” 26 Armed with these revised concept labels the team identified tests to measure this construct, but some tests upon which the original factor analytic studies were based were not evaluated further for various good reasons (eg, the Wisconsin Card Sorting Test had figured heavily in prior research, but is ill-suited for application in clinical trials). Then several tests were proposed that had not been used in the factor analyses, and which are quite reasonably considered tests of “reasoning and problem solving” but would less likely be selected as measures of “executive functioning” and almost certainly would not be selected as measures of “frontal lobe functions.” For example, a maze-processing test was selected for the MATRICS final battery, even though no maze test was used in the original factor analytic studies, and while most scientists would agree that frontal function is important for maze performance, the contributions of nonfrontal systems are profound. Thus the construct label executive functions (associated with frontal system integrity), was split Into working memory and reasoning/problem solving, the latter of which was untethered from its “frontal” system anchor. This highlights how breaking a construct into subcomponents can have unintended consequences, and in general shows that cognitive construct labels may be misleading. Indeed, it only becomes clear what the labels really mean when these are specified with respect to the actual test variables used to measure the construct. These issues are discussed in greater detail elsewhere, along with other examples showing how construct labels may reflect fashion more than science, and calling for routine specification of constructs at the measurement level.27-29 For example, in one literature-mining exercise the term “cognitive control” was defined completely at the measurement level by a set of four other labels including: working memory, response selection, response inhibition, and task switching/set shifting. Thus, the term “cognitive control” was used increasingly in the literature to describe results from the same tests that were previously branded with other labels. By the time Pribram had offered the coinage of executive functions and participated in the coinage of working memory, substantial progress had been made in recognizing key aspects of frontal lobe organization based on both clinical and basic research by Jacobsen, Halstead, Teuber, Luria, Fuster, Mishkin, Sanides, Stuss, Benson, and others.1,9,30-40 Among these contributions I single out for its elegance and simplicity the formulation of Luria1,41 as elaborated by Goldberg.42 This provides an overall functional framework within which the processes of executive function take place. Next I turn to characterization of the nature of control exerted by the frontal systems, relying here on formulations articulated by Pribram and McGuiness,10,11,43 Fuster,44 and GoldmanRakic.45 Finally, I attempt to show how the fundamental principles of frontal executive control mechanisms may operate to subserve stability and flexibility operations (which are a critical component particularly of Pribram's concept of frontal function) via an anatomic organization that has evolved specifically to provide autoregulatory control over stability and flexibility, based on the original work of Frledrich Sanides37 as elaborated by Pandya and his colleagues.46-49

The Luria/Goldberg hierarchical and gradiental theories

Among the most successful and enduring general theories of frontal lobe functioning are the hierarchical models that were developed by Luria In the 1960s and elaborated and extended by others, including Joaquin Fuster and Luria's student Elkhonon Goldberg. A major premise of these models is that the frontal lobes are organized in a hierarchical fashion, which Luria referred to as primary, secondary, and tertiary divisions of the frontal cortex. These primary, secondary, and tertiary divisions approximate the cytoarchitectonic divisions referring to the primary motor cortex, the premotor cortex, and the prefrontal cortex, respectively. Syndrome analysis of patients with discrete lesions showed systematic increases in the complexity of behavioral disruptions paralleling the cytoarchitectonic progression. In brief, discrete lesions in the primary motor cortex cause loss of motor control (paralysis or paresis), at the level of individual motor units, with relatively little impact on other non-motor functions, and the dysfunction is well defined by a somatotopic representation mapped as a motor homunculus on precentral gyrus. In contrast, lesions to the premotor regions yield hierarchically “higher-order” functional deficits, impacting the combined activation of units in the primary motor regions, and preferentially affecting the spatially and temporally organized sequencing of motor movements; however, the capacity to execute elementary movements of individual motor units may be spared. While the impact of lesions in these premotor or secondary divisions continues to be predominantly motoric in character, and maintains elements of somatotopic representation, the “projective fields” are larger, involving multiple motor units. Finally, lesions to the prefrontal cortex are seen as hierarchically higher still, impacting the coordination of premotor activation and thereby regulating the organization of complex actions and plans for behavior. These prefrontal lesions may cause no obvious impact on motor control at all, and there is no clear relation to somatotopic maps.

This basic scheme has enormous explanatory power, and, with some refinements and elaborations, has been used to help understand wide-ranging lesion effects including not only elementary and complex motor syndromes, but also diverse deficits in expressive language, conceptual disorganization, and thought disorder, and more generally problems in the initiation and regulation of complex behavior. For example, the classic effects of ventrolateral prefrontal and premotor lesions on expressive speech (ie, “Broca's aphasia”) may be more readily appreciated as breakdowns in the regulation of sequentially organized actions in regions that are somatotopically mapped to the motor control of the articulatory apparatus (mouth, tongue, larynx, and pharynx), and this system better explains how some (more posterior frontal) lesions have greater effect on articulator)' agility and buccolingual praxis, while other (more anterior) lesions leave the motor regulation of speech intact but nevertheless yield alogia or other higher-order speech impairments. Goldberg provides many examples, and also an elegant explanation of how agnosias emerge as a cardinal consequence of lesions in the secondary divisions of posterior cortical regions, and how analogous disruptions in the classification of behavioral programs may result from premotor cortex dysfunction.42

Some difficulties for these theories include: (i) the observation that the secondary divisions of the cortex (ie, premotor cortex) are actually phylogenetically older and less differentiated than either tertiary prefrontal cortex or primary motor cortex, which appear to have evolved more recently (see refs 50,51); (ii) a lack of specification about the nature of regulatory influence expressed by the frontal cortex in its connections to posterior cortical regions; and (iii) while the hierarchical theories account well for diverse motor and planning phenomena, they often pay less attention to the importance of frontal systems as regulators of the limbic, diencephalic, and brain stem systems, and thereby offer less insight into how frontal systems regulate visceral and autonomic function.

The Pribram-McGuiness hypothesis and other autoregulatory control theories

In his classic paper “The riddle of frontal lobe function in man,” Hans-Lukas Teuber31 highlighted dilemmas faced by the field in its attempts to identify a unitary theory of frontal lobe functions, and he focused on taking a “180-degree” shift in thinking by examining the impact of frontal systems on the rest of the brain including sensory cortices. Teuber's emphasis on “corollary discharge” anticipated interpretations that focused on the role of frontal projections in biasing the processing of other cortical systems to “prepare” for engagement in task-relevant activity, thereby providing representation of “expectation” and “context based on prior memory.” 52 These ideas are similar to later theoretical contributions that attribute to frontal systems a unique role in guiding behavior via context.53 But Teuber and others also recognized that part of the “riddle” of frontal function was likely posed by its structural heterogeneity.54 Benson and others had established a dichotomy widely used in neurology and neuropsychology, distinguishing dorsolateral from orbitofrontal syndromes, with the former marked by cognitive inertia, planning and organization problems, and the latter marked by pseudopsychopathy and disinhibitory psychopathology.55 Luria distinguished three distinctive frontal syndromes, with a dorsomedial syndrome marked by “oneiroid” (dreamy) states, in addition to the dorsolateral and orbitofrontal/basal variants.1 Pribram had earlier focused on the unique relations of frontal regions not only with the motor system but further with the visceral and autonomic nervous system (see discussion in ref 9), and subsequently refined these ideas in a grand theory of attention regulation.10,11,43,52,56

The Pribram-McGuinness hypothesis states that frontal systems contribute critically to integrated “arousal” and “activation” functions that have primary roles in regulating the flexibility and stability of brain activation states. This conceptualization extended from the early experiments of Morruzi and Magoun57 and their followers, which revealed a fundamental duality in that electrographic desynchronlzation and “alerting” responses could be triggered not only via stimulation of the ascending reticular activating system (ARAS), but also by forebrain stimulation. Of particular importance, the ARAS stimulation resulted in phasic arousal, while the forebrain stimulation resulted in more enduring tonic activation. Pribram and McGuinness recognized the relation of the phasic arousal system to novelty detection and the orienting response, and of the tonic activation to maintenance of readiness to respond and the preparation of other cortical regions to engage in processing. An electrocortical representation of this tonic activation process was observed in the contingent negative variation (CNV) observed over the vertex in scalp EEG recordings selectively during the delay interval of delayed response tests; it was noted further that depth recordings revealed transcortical negative variations which occurred within those sensory regions that were about to be engaged in processing, and that both the CVN and TNVs could be obliterated by lesions in frontal or striatal components of the tonic activation system, thus confirming a frontal system contribution to preparation for processing elsewhere in the brain. Several decades later, elegant experiments by Patricia Goldman-Rakic and colleagues would corroborate and extend these studies, revealing the exquisite organization of reciprocal fronto-posterior projections and highlighting the sustained activity of prefrontal pyramidal neurons in the maintenance of activation states in taskrelevant posterior cortical regions. It was at this point that the processes of working memory received greater attention, referring particularly to those elements of tonic cortical activation previously labeled by Pribram and McGuinness as activation.

Other distinctions have been put forward to help understand the heterogeneity of frontal lobe function. Fuster has emphasized the role of more dorsal frontal systems in initiation of action and the more ventral systems in the inhibition of action.44,58 Following elegant experiments that segregated the “what and where” functions of ventral and dorsal visual streams, respectively, one theory suggests this distinction is carried forward in frontal system function.59 A similar theory suggests this distinction is better characterized as “what versus how.”60 Exploration and exploitation have been seen as a crucial dichotomy in both business systems and frontal function, though the anatomic attributions of these models do not always converge (ie, Cohen and colleagues have suggested that “exploration” is more mediated by frontopolar and dorsal systems that are engaged to overcome prepotent response tendencies).61-63 Another recent review suggested that existing evidence is more consistent with the idea that dorsal frontal systems are associated with “expectation” while the ventral systems are more engaged in “classification.” 64 Is there a way to reconcile these ostensibly different views of frontal system function?

The dual evolutionary cytoarchitectonic trends hypothesis

It has been said that in biology, function is always dictated by structure (see ref 65), so our understanding of functional distinctions in brain might best follow an analysis of its structure. Comparative anatomic studies going back to the 1930s highlighted a duality in the origins of the cerebral cortex, with one anatomic source originating from a laterally positioned cellular primordium comprising the primitive olfactory cortex (paleocortical trend) and another anatomic source derived from a medially positioned cellular primordium comprising the primitive hippocampal formation (archicortical trend).66-68 In the phylogenetic progression from fish through reptiles to mammals and primates, this fundamental duality has been preserved as the cortex evolved progressively from three to six layers, with the most recently evolved representation of the paleocortical trend apparent in the most ventral and lateral aspects of neocortex, and the most recently evolved representation of the archicortical trend in the most dorsal and medial aspects of neocortex.69 This duality in origins of the entire cortical mantle is reflected in both distinctive patterns of local cytoarchitectonic development and long-range patterns of connectivity in both posterior and frontal regions. The posterior paleocortical progression includes parainsular cortex, from which further development of six layered isocortex emphasized granular cells and led to development of the primary sensory areas for the face, head, and neck, and to the central visual component of primary visual cortex, and to primary auditory cortex. The archicortical progression includes paralimbic cortex, from which isocortical developments included an emphasis on pyramidal cells and somatosensory representations of the limbs and trunk, and to cortical regions representing the peripheral visual fields. In frontal regions70 there is a similar duality expressed in the elaboration of granular and pyramidal cells in the paleocortical and archicortical trends, respectively, and a parallel emphasis on the trends' respective representations of motor control of the face/head/neck versus limbs and trunk. Linking these observations to the theories described above, the hierarchical view is reinforced by the documented short-range projections from each region to nearby regions of both greater and lesser degrees of differentiation. Reinforcing the topographically organized patterns of frontoposterior projections described above, it is further important to note that these patterns of long-range projections honor the level of cytoarchitectonic differentiation across comparable anterior and posterior developments within each trend, and also connect similarly evolved regions between paleocortical and archicortical trends. These relationships have been summarized elsewhere,71,72 and are further detailed and depicted elegantly in multiple works by Pandya and colleagues (for a recent update, see ref 46).

Several functional distinctions map either explicitly or implicitly onto this neuroanatomical duality (Table I). For example, the paleocortical and archicortical trends have been seen as the potential substrate of object versus spatial processing, respectively,46 following the “what versus where” distinction noted above. Randall O'Reilly73 argues that this distinction may better be broadened to consider “what versus how” processing, similar to the hypothesis of Goodale and Milner.60 Petrides sees the dorsolateral (archicortical) system as more critically engaged in “monitoring of information in working memory” while the ventrolateral (paleocortical) system is more involved in “ active judgments on information held in posterior cortical association regions that are necessary for active retrieval and encoding of information” (p 793).74 Gary Goldberg suggested that the paleocortical system mediates “responsive” control over action, while the archicortical system mediates “projectional” control over action,75 and this idea is highly compatible with the distinction that Frith and Done76 made between “stimulus intentions” and “willed intentions” in describing two distinct routes to action (which incidentally can help explain both unusual phenomena such as the “alien hand sign” seen rarely with lesions to the archicortical divisions of the premotor system, and certain hallucinatory behavior in syndromes like schizophrenia). Further compatible with these views is the recent hypothesis of Borst and colleagues, suggesting that the dorsal/ventral distinction in frontal function is best captured by dimensions of “expectation” versus “classification.” 64

Table I
Summary of neuroanatomical progressions within paleocortical and archicortical trends and their putative functional characteristics.

Key elements from each of these suggestions should probably be accounted for in a mature model of frontal lobe function. In prior work it was suggested that integrating the evolutionary cytoarchitectonic trends model with the Pribram and McGuinness theory of attentlonal control might have merit.70,71,77-83 Specifically, it has been argued that the dorsal and medial archicortical systems may emphasize the stabilization of behavioral programs, thus subserving what Pribram and McGuinness referred to as “tonic activation” - and this would be consistent particularly with roles in mediating “projectional control,” “willed intentions,” “monitoring of information in working memory,” and “expectation” as invoked above. In contrast, it was suggested that the ventral and lateral paleocortical system is biased towards flexibility and is engaged in mediation and moderation of “phasic arousal”—and this would be compatible with the ideas espoused above regarding “responsive control,” “stimulus intentions,” and elements of “retrieval and encoding” particularly those that demand or are triggered by perceptual “classification” processes. This functional distinction is also likely linked to both neurochemical distinctions and differences in cellular signaling pathways that are under strong genetic regulation. For example, this distinction between maintaining the stability (through tonic dopaminergic activation) or introducing more flexibility (through phasic dopaminergic arousal) in corticostriatal networks was seen as a key mechanism through which genetic variation in the catechol-O-methyltransferase (COMT) gene may impact diverse cognitive functions.83 The putative identification of these features and characteristics with paleocortical and archicortical trends is summarized in Table I.

Future directions

Modern neuroimaging studies, particularly those usinctional magnetic resonance imaging (fMRI), have already produced an enormous amount of evidence that remains to be well integrated with our understanding of connectional anatomy and with functional anatomic hypotheses that are constrained by structural anatomic architecture. It is hoped that data emerging from the human connectome project will help advance application of these anatomic constraints to functional models.84 Surging interest in the “default mode network”85 may also help by increasing understanding of functional network activation free of the constraints of specific cognitive hypotheses that may lead to reification of certain functional networks because these are dictated by the experiments. In the same way that genome-wide association studies may provide an “agnostic” and unbiased approach to the study of genetic association, future studies of brain activation may benefit from adopting a “cognome-wide” strategy that samples brain function broadly, and with fewer preconceptions.86 Meanwhile, the field is witnessing a burgeoning of intriguing new “modular” hypotheses about frontal regions and their putative roles in mediating discrete cognitive operations.87 Some aspects of these new theories already appear consistent with the evolutionary cytoarchitectonic trends hypotheses (for example the role of frontal pole region 10 as reflecting a merger zone with influences on both dorsal and ventral trends), but a high future priority will be fuller integration of current concepts of reward-system function with cognitive process hypotheses. Research that will enhance understanding of functional links between frontal systems and deeper limbic, subcortical and axial systems may be among the most promising directions, and may help to fulfill the legacies seeded more than 50 years ago by the pioneers of frontal lobe territories.


Preparation of this article was supported by the Michael E. Tennenbaum Family Center for the Biology of Creativity, and the Consortium for Neuropsychiatric Phenomics (NIH Roadmap for Medical Research grants UL1-DE019580). I also thank William Barr and Elkhonon Goldberg for historical notes and comments.


1. Luria AR. Higher Cortical Functions in Man. New York, NY: Basic Books, Inc; 1966.
2. Broadbent WH. On the cerebral mechanism of speech and thought. Medico-Chirurgical Transactions. 1872;55:145. [PMC free article] [PubMed]
3. Broadbent WH. A case of peculiar affection of speech, with commentary. Brain. 1879;1:484.
4. Jackson J. On. Epilepsies and On the After Effects of Epileptic Discharges. London, UK: Hodder and Stoughton; 1876.
5. Jackson J. Evolution and Dissolution of the Nervous System (Croonian Lectures). New York, NY: Basic Books; 1884/1958.
6. Pribram KH. The primate frontal cortex-executive of the brain. In: Pribram KH, Luria AR, eds. Psychophysiology of the Frontal Lobes. New York, NY: Academic Press. 1973:293–314.
7. Miller GA., Galanter E., Pribram KH. Plans and the Structure of Behavior. New York, NY: Holt, Rinehart and Winston; 1960.
8. Baddeley AD., Hitch G. Working memory. In: Bower GH, ed. The Psychology of Learning and Motivation: Advances in Research and Theory. New York, NY: Academic Press. 1974:47–89.
9. Jacobsen CF. Studies of cerebral function in primates, I. The function of the frontal association areas in monkeys. J Comp Psychol. 1936;13:3–60.
10. Pribram KH., McGuinness D. Arousal, activation, and effort in the control of attention. Psychol Rev. 1975;82:116–149. [PubMed]
11. McGuinness D., Pribram K. The neuropsychology of attention: emotional and motivational controls. In: Wittrock MC, Edwards AJ, eds. The Brain and Psychology. New York, NY: Academic Press. 1980:95–139.
12. Sawaguchi T., Goldman-Rakic PS. D1 dopamine receptors in prefrontal cortex: involvement in working memory. Science. 1991;251:947–950. [PubMed]
13. Sawaguchi T., Goldman-Rakic PS. The role of D1-dopamine receptor in working memory: local injections of dopamine antagonists into the prefrontal cortex of rhesus monkeys performing an oculomotor delayedresponse task. J Neurophysiol. 1994;71:515–528. [PubMed]
14. Durstewitz D., Kelc M., Gunturkun O. A neurocomputational theory of the dopaminergic modulation of working memory functions. J Neurosci. 1999;19:2807–2822. [PubMed]
15. Durstewitz D., Seamans JK. The computational role of dopamine D1 receptors in working memory. Neural Netw. 2002;15:572. [PubMed]
16. Durstewitz D., Seamans JK., Sejnowski TJ. Neurocomputational models of working memory. Nat Neurosci. 2000;3 (suppl):1184–1191. [PubMed]
17. Bilder RM., Goldman RS., Robinson D., et al. Neuropsychology of firstepisode schizophrenia: initial characterization and clinical correlates. Am J Psychiatry. 2000;157:549–559. [PubMed]
18. Heinrichs RW., Zakzanis KK. Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology. 1998;12:426–445. [PubMed]
19. Keefe RS., Bilder RM., Harvey PD., et al. Baseline neurocognitive deficits in the CATIE schizophrenia trial. Neuropsychopharmacology. 2006;31:2033–2046. [PubMed]
20. Green MF. What are the functional consequences of neurocognitive deficits in schizophrenia? [see comments]. AmJ Psychiatry. 1996;153:321–330. [PubMed]
21. Weinberger DR. The pathogenesis of schizophrenia: a neurodevelopmental theory. In:. The Neurology of Schizophrenia. Amsterdam, the Netherlands: Elsevier. 1986:1–10.
22. Weinberger DR., Berman KF., Zee RF. Physiological dysfunction of dorsolateral prefrontal cortex in schizophrenia: I. Regional cerebral blood (r CBF) flow evidence. Arch Gen Psychiatry. 1986;43:114–124. [PubMed]
23. Goldberg TE., Weinberger DR., Berman KF., Pliskin NH., Podd MH. Further evidence for dementia of the prefrontal type in schizophrenia. Arch Gen Psychiatry. 1987;44:1008–1014. [PubMed]
24. Weinberger DR. Implications of normal brain development for the pathogenesis of schizophrenia. Arch Gen Psychiatry. 1987;44:660–669. [PubMed]
25. Berman KF., lllowsky BP., Weinberger DR. Physiological dysfunction of dorsolateral prefrontal cortex in schizophrenia. Arch Gen Psychiatry. 1988;45:616–622. [PubMed]
26. Nuechterlein KH., Barch DM., Gold JM., Goldberg TE., Green MF., Heaton RK. Identification of separable cognitive factors in schizophrenia. Schizophr Res. 2004;72:29–39. [PubMed]
27. Bilder RM., Sabb FW., Parker DS., et al. Cognitive ontologies for neuropsychiatric phenomics research. Cogn Neuropsychiatry. 2009;14:419–450. [PMC free article] [PubMed]
28. Sabb FW., Bearden CE., Glahn DC., Parker DS., Freimer N., Bilder RM. A collaborative knowledge base for cognitive phenomics. Mol Psychiatry. 2008;13:350–360. [PubMed]
29. Poldrack RA., Kittur A., Kalar D., et al. The cognitive atlas: toward a knowledge foundation for cognitive neuroscience. Front Neuroinform. In press. [PMC free article] [PubMed]
30. Halstead WC. . Brain and intelligence; a Quantitative Study of the Frontal Lobes. Chicago, IL: University of Chicago Press. 1947
31. Teuber H. Some effects of frontal lobotomy in man. In: Warren JM, Akert K, eds. The Frontal Granular Cortex and Behavior. San Francisco, CA: McGrawHill. 1964:332–333.
32. Teuber HL. Some alterations in behavior after cerebral lesions in man. In: Bass HD, ed. Evolution of Nervous Control. Washington, DC: AAAS. 1959:157–170.
33. Fuster JM., Alexander GE. Delayed response deficit by cryogenic depression of frontal cortex. Brain Res. 1970;20:85–90. [PubMed]
34. Fuster JM., Alexander GE. Neuron activity related to short-term memory. Science. 1971;173:652–654. [PubMed]
35. Iversen SD., Mishkin M. Perseverative interference in monkeys following selective lesions of the inferior prefrontal convexity. Exp Brain Res. 1970;11:376–386. [PubMed]
36. Mishkin M., Manning FJ. Non-spatial memory after selective prefrontal lesions in monkeys. Brain Res. 1978;143:313–323. [PubMed]
37. Sanides F. Comparative architectonics of the neocortex of mammals and their evolutionary interpretation. Ann W. YAcadSci. 1969;167:404–423.
38. Sanides F. Representation in the cerebral cortex and its areal lamination patterns. In: Bourne GH, ed. The Structure and Function of Nervous Tissue.New York, NY: Academic Press; 1972. :329–453.
39. Benson DF., Stuss DT. Motor abilities after frontal leukotomy. Neurology. 1982;32:1353–1357. [PubMed]
40. Stuss DT., Benson DF. The Frontal Lobes. New York, NY: Raven Press; 1986.
41. Luria AR. Higher Cortical Functions in Man. New York, NY: Basic Books; 1980.
42. Goldberg E. The gradiental approach to neocortical functional organization. J Clin Exp Neuropsychol. 1989;11:489–517. [PubMed]
43. Pribram KH. Emotions. In: Filskov S, Boll TJ, eds. Handbook of Clinical Neuropsychology. New York, NY: John Wiley and Sons; 1981. :102–134.
44. Fuster JM. The Prefrontal Cortex. London, UK: Academic Press; 2008.
45. Goldman-Rakic PS. Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. Handbook of Physiology. Vol 5. The Nervous System. Bethesda, MD: American Physiological Society; 1987. :373–417.
46. Yeterian EH., Pandya DN., Tomaiuolo F., Petrides M. The cortical connectivity of the prefrontal cortex in the monkey brain. Coitex. 2012;148:58–81. [PMC free article] [PubMed]
47. Pandya DN., Barnes CL. Architecture and connections of the frontal lobe. In: Perecman E, ed. The Frontal Lobes Revisited. New York, NY: IRBN Press; 1987. :41–72.
48. Pandya DN., Seltzer B., Barbas H. Input-output organization of the primate cerebral cortex. Neurosciences. 1988;4:39–80.
49. Yeterian EH., Pandya DN. Architectonic features of the primate brain. In: Markowitsch HJ, ed. Information Processing by the Brain. Bern, Switzerland: Hans Huber Publishers; 1988. :7–37.
50. Barbas H., Pandya DN. Architecture and intrinsic connections of the prefrontal cortex in the rhesus monkey. J. Comp Neurol. 1989;286:353–375. [PubMed]
51. Pandya DN., Yeterian EH. Architecture and connections of cortical association areas. Cereb Cortex. 1985;4:3–61.
52. Pribram KH., Perecman E. The subdivisions of the frontal cortex revisited. The Frontal Lobes Revisited. New York, NY: IRBN Press; 1987. :11–39.
53. Miller EK., Cohen JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 2001;24:167–202. [PubMed]
54. Teuber HL. Unity and diversity of frontal lobe functions. Acta Neurobiol Exp. 1972;32:615–656. [PubMed]
55. Benson DF., Blumer D. Psychiatric Aspects of Neurological Disease. New York, NY: Grune & Stratton; 1982.
56. Pribram KH. The frontal cortex-a Luria-Pribram rapprochement. In: Goldberg E, ed. Contemporary Neuropsychology and The Legacy of Luria. London, UK: Lawrence Erlbaum Asso; 1990. :77–97.
57. Moruzzi G., Magoun HW. Brain stem reticular formation and activation of the EEG. Electroencephalography Clin Neurophysiol. 1949;1:455–473. [PubMed]
58. Fuster J. The Prefrontal Cortex: Anatomy Physiology and Neuropsychology of the Frontal Lobe. Vol XVI. 3rd ed. Philadelphia, PA: Lippincott-Raven; 1997.
59. Ungerleider L., Mishkin M. Two cortical visual streams. In: Ingle DJ, Godoale MA, Mansfield RJW, eds. Analysis of Visual Behavior. Cambridge, MA: MIT Press; 1982. :549–586.
60. Goodale MA., Milner AD. Separate visual pathways for perception and action. Trends Neurosci. 1992;15:20–25. [PubMed]
61. March JG. Exploration and exploitation in organizational learning. Organization Science. 1991:71–87.
62. McClure S., Gilzenrat M., Cohen J. An exploration-exploitation model based on norepinepherine and dopamine activity. AdvNeurlnfo Proc Syst. 2006;18:867.
63. Cohen JD., McClure SM., Yu AJ. Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philosoph Trans Roy Soc Lond B: Biological Sciences. 2007;362:933. [PMC free article] [PubMed]
64. Borst G., Thompson WL., Kosslyn SM. Understanding the dorsal and ventral systems of the human cerebral cortex: beyond dichotomies. Am Psychol. 2011;66:624–632. [PubMed]
65. Edelman GM. Topobiology: an introduction to Molecular Embryology. New York, NY: Basic Books; 1988.
66. Dart RA. The dual structure of the neopallium: Its history and significance. SAnat. 1934;69(Pt 1):3. [PubMed]
67. Abbie AA. Cortical lamination in the monotremata. J Comp Neurol. 1940;72:429–467.
68. Abbie A. Cortical lamination in a polyprotodont marsupial, Perameles nasuta. J Comp Neurol. 1942;76:509–536.
69. Pandya DN., Yeterian EH. Architecture and connections of cerebral cortex: implications for brain evolution and function. In: Scheibel AB, Wechsler AF, eds. Neurobiology of Higher Cognitive Function. Guilford Press. [aHCD], 1990.
70. Pandya DN., Yeterian EH. Proposed neural circuitry for spatial memory in the primate brain. Neuropsychologia . 1984;22:109–122. [PubMed]
71. Christensen BK., Bilder RM. Dual cytoarchitectonic trends: an evolutionary model of frontal lobe functioning and its application to psychopathology [see comments]. Can J Psychiatry. 2000;45:247–256. [PubMed]
72. Bilder R. Neurocognitive impairment in schizophrenia and how it affects treatment options. Can J Psychiatry. 1997;42:255–264. [PubMed]
73. O'Reilly RC. The what and how of prefrontal cortical organization. Trends Neurosci. 2010;33:355–361. [PMC free article] [PubMed]
74. Petrides M. Lateral prefrontal cortex: architectonic and functional organization. Philosoph Trans Roy Soc Lond B: Biological Sciences. 2005;360:781. [PMC free article] [PubMed]
75. Goldberg G. Supplementary motor area structure and function: review and hypotheses. Behav Brain Sci. 1985;8:567–588.
76. Frith CD., Done DJ. Towards a neuropsychology of schizophrenia. Br J Psychiatry. 1988;153:437–443. [PubMed]
77. Bilder RM., Lieberman JA., Kim Y., Alvir JMJ., Reiter G. Methylphenidate and neuroleptic effects on oral word production in schizophrenia. Neuropsychiatry Neuropsychol Behav Neurol. 1992;5:262–271.
78. Bilder RM. Structure-function relations in schizophrenia: brain morphology and neuropsychology. In: Walker EF, Dworkin RH, Cornblatt BA, eds. Progress in Experimental Personality and Psychopathology Research. Vol 1 5. New York, NY: Springer Publishing Company; 1990. :183–251.
79. Bilder RM. Morphologic markers of neurodevelopmental paths: revisited. In: Mednick SA, Hollister JM, eds. Neural Development in Schizophrenia: Theory and Practice. New York, NY: Plenum Press; 1995. :79–94.
80. Bilder RM., Szeszko PR. Structural neuroimaging and neuropsychological impairments. In: Pantelis C, Nelson HE, Barnes TRE, eds. 77e. Neuropsychology of Schizophrenia. New York, NY: John Wiley & Sons; 1996. :279–298.
81. Bilder RM. The neuropsychology of schizophrenia: What when, where, how? In: Fleischhacker WW, Hinterhuber H, eds. Schizophrene Storungen: State of the Art II. Innsbruck, Austria: Verlag Integrative Psychiatrie; 1998. :155–171.
82. Paulus MP., Bilder RM., Lieberman JA. Complex dysregulation in sequential organization and dysregulation in dopaminergic modulation in first episode schizophrenia patients. In: Prahdan N, Rapp PE, Sreenivasan R, eds. Nonlinear Dynamics and Brain Functioning. Huntington, NY: Nova; 1999.
83. Bilder RM., Volavka J., Lachman HM., Grace AA. The catechol-Omethyltransferase polymorphism: relations to the tonic-phasic dopamine hypothesis and neuropsychiatric phenotypes. Neuropsychopharmacology. 2004;29:1943–1961. [PubMed]
84. Biswal BB., Mennes M., Zuo XN., et al. Toward discovery science of human brain function. Proc. Natl Acad Sci USA. 2010;107:4734–4739. [PubMed]
85. Greicius MD., Krasnow B., Reiss AL., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl Acad Sci U S A. 2003;100:253. [PubMed]
86. Poldrack RA., Halchenko YO., Hanson SJ. Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychol Sci. 2009;20:1364–1372. [PMC free article] [PubMed]
87. Rushworth MFS., Noonan MP., Boorman ED., Walton ME., Behrens TE. Frontal cortex and reward-guided learning and decision-making. Neuron. 2011;70:1054–1069. [PubMed]

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