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The frontal lobe and executive control

How the front of the brain holds goals in mind, controls thought and action, weighs the future, and what Phineas Gage, lobotomy and AI reveal about it.

Intermediate · about 10 min · updated 2026-10-02 · awaiting clinical review

See it in 3D:

Illustrative simulation excitatory inhibitory

The frontal lobe regions in this atlas; shifting, updating and inhibition; Miller and Cohen's theory of cognitive control; delay activity, memory fields and synaptic reverberation; subjective value and future consequences; maturation of association cortex; Phineas Gage, card sorting, frontotemporal dementia and the lobotomy; recurrent, diffusion and discounting models; meta-reinforcement learning and neuromodulation in older adults.

Contents
  1. The brain's executive
  2. What the frontal lobe contains
  3. Why we need a prefrontal cortex
  4. How the prefrontal cortex holds information
  5. When the frontal lobes mature
  6. When the frontal lobes fail
  7. Models of holding, deciding and waiting
  8. Technology and AI
  9. Milestones
  10. Frontiers
  11. Check yourself

The brain's executive

When a 'tamping iron' was accidentally shot through the skull and brain of Phineas Gage, he survived, but his behaviour changed profoundly. No autopsy was done when he died in 1861, but his skull was later recovered, and modern reconstructions from it suggest that the damage involved the prefrontal cortex, in a pattern that in today's patients impairs rational decision-making and the processing of emotion.[1,2]

The front of the brain is where goals are held in mind and turned into plans. The prefrontal cortex is thought to keep patterns of activity that represent goals and the means to achieve them, and to bias the rest of the brain so that thought and action follow those goals.[3]

This reading covers the anatomy of the frontal lobe in this atlas, the components of executive function, working memory and its neurons, decisions about the future, development, what happens when the frontal lobes are damaged, the infamous history of lobotomy, and how ideas from AI are reshaping theories of the prefrontal cortex.[4,5,6]

What the frontal lobe contains

In the lobe mapping used by this atlas, the frontal lobe is made up of the superior frontal, rostral middle frontal and caudal middle frontal regions; the pars opercularis, pars triangularis and pars orbitalis of the inferior frontal gyrus; the lateral and medial orbitofrontal cortex; the precentral and paracentral regions; and the frontal pole.[4,7]

Executive functions. Three often-proposed executive functions are mental set shifting, updating and monitoring of working memory, and inhibition of prepotent responses. In 137 students they were moderately correlated with one another but clearly separable, and contributed differently to complex 'frontal lobe' tasks: card sorting related most to shifting, the Tower of Hanoi to inhibition, and operation span to updating.[8]

Key numbers

Cortical regions assigned to the frontal lobe in this atlas's Desikan–Killiany lobe mapping
11[4]
Prefrontal neurons recorded around the principal sulcus in the classic memory-field study
288[9]
Chunks held in short-term memory, by Cowan's estimate (Miller had suggested about seven)
about 4[10,11]
Prefrontal and transorbital lobotomies performed by Walter Freeman
more than 3,000[5]

Why we need a prefrontal cortex

Cognitive control is the ability to orchestrate thought and action in line with internal goals. In Miller and Cohen's theory, active patterns of prefrontal activity act as bias signals that guide activity along the pathways needed for the task at hand, linking inputs, internal states and outputs in the right way.[3]

Interference. Control matters most when habits compete with goals. Stroop's 1935 studies of interference in serial verbal reactions gave psychology its most famous example: naming the ink colour of a colour word is slowed when the word names a different colour.[12]

Valuing the future. When people choose between smaller, sooner and larger, later rewards, activity in the ventral striatum, medial prefrontal cortex and posterior cingulate tracks each person's own subjective value of the delayed reward. After damage to the ventromedial prefrontal cortex, patients who are otherwise intellectually normal make poor real-life decisions and seem guided only by immediate prospects.[13,14]

How the prefrontal cortex holds information

Delay activity. In 1971 Fuster and Alexander found prefrontal and thalamic neurons that changed their firing while monkeys held information over a delay, some firing above baseline throughout it.[15]

Memory fields. Funahashi, Bruce and Goldman-Rakic trained monkeys to remember where a cue had flashed and then look there after a delay of 1–6 seconds. Of 288 neurons recorded around the principal sulcus, 87 changed their activity during the delay, and 79% of these were directional: they responded only for cues in a particular range of directions.[9]

Reverberation. Such persistent activity has long been thought to be sustained by synaptic reverberation in recurrent circuits. Network models reproduce the memory-field experiment when recurrent excitation is mediated mainly by NMDA receptors and inhibition dominates overall; analog memories such as a location can be stored as a 'bump attractor'.[16,17]

Selection. Holding items is only half the job: prefrontal neurons also select among them. When monkeys switched between selecting one item from working memory and attending to one visual stimulus, similar prefrontal representations encoded both kinds of control, suggesting a domain-general controller.[18]

Cognitive control as biasing (simplified)Goal held in prefrontalcortexpersistent activity representsthe task ruleTop-down bias signalssent to sensory, memory andmotor areasCompeting inputsfor example a word and its inkcolourTask-relevant pathway winsactivity flows along the mappingthe goal needsResponsethe goal-appropriate actionUpdate the goalshift, update or inhibit as thetask changes
Cognitive control as biasing (simplified). A simplified view of Miller and Cohen's theory, with the three executive functions identified by Miyake and colleagues as the ways a goal can change.[3,8,12]
Text version of the diagram
  1. Goal held in prefrontal cortex: persistent activity represents the task rule. Leads to Top-down bias signals.
  2. Top-down bias signals: sent to sensory, memory and motor areas. Leads to Task-relevant pathway wins.
  3. Competing inputs: for example a word and its ink colour. Leads to Task-relevant pathway wins.
  4. Task-relevant pathway wins: activity flows along the mapping the goal needs. Leads to Response.
  5. Response: the goal-appropriate action. Leads to Update the goal.
  6. Update the goal: shift, update or inhibit as the task changes. Leads to Goal held in prefrontal cortex.

When the frontal lobes mature

Scanning 13 healthy children every two years for 8–10 years, between the ages of 4 and 21, Gogtay and colleagues found that higher-order association cortices mature only after the lower-order somatosensory and visual cortices whose functions they integrate, and that phylogenetically older areas mature earlier than newer ones.[19]

In late life, frontal circuits remain plastic: in people aged 65 to 88, four days of high-frequency alternating-current stimulation over prefrontal cortex improved long-term memory, with benefits still present a month later.[20]

When the frontal lobes fail

Phineas Gage. Reconstructions disagree on details: one placed the damage in both left and right prefrontal cortices; a connectome study found considerable damage localised to the left frontal cortex but widespread loss of connections between the damaged areas and the rest of the brain, a probable contributor to the behavioural changes.[1,2]

Card sorting. In 1963 Milner compared the effects of lesions in different parts of the brain on a card-sorting test, a classic probe of the ability to shift between rules; in Miyake and colleagues' analysis, card sorting related most strongly to the shifting component of executive function.[8,21]

Frontotemporal dementia. The behavioural variant of frontotemporal dementia is diagnosed from six features: disinhibition; apathy or inertia; loss of sympathy or empathy; perseverative or compulsive behaviour; hyperorality; and a dysexecutive profile on testing. 'Possible' disease requires three. In 137 autopsy-confirmed cases, the revised criteria identified 86%, against 53% for the earlier criteria.[22]

Models of holding, deciding and waiting

Three simple models capture how the frontal lobes might hold information, reach a decision and weigh the future.[16,24,25]

Persistent activity by recurrent excitation[16,17]
τdrdt=−r+f ⁣(w r+I(t))\tau \frac{dr}{dt} = -r + f\!\left(w\,r + I(t)\right)

A one-population caricature of a working-memory circuit. Without input, activity r decays with time constant τ; but if recurrent excitation w is strong enough, a brief input I can switch the network into a state of high activity that sustains itself after the input ends, the reverberation thought to underlie delay activity.

Symbols in Persistent activity by recurrent excitation
SymbolMeaningUnit
rrfiring rate of the populationspikes/s
τ\tautime constantms
wwstrength of recurrent excitation—
I(t)I(t)external input, such as a brief cue—
ffinput–output (activation) function—
The diffusion decision model[24]
dx=v dt+s dW,x(0)=z,respond when x≥a or x≤0dx = v\,dt + s\,dW, \qquad x(0) = z, \qquad \text{respond when } x \ge a \text{ or } x \le 0

Evidence x accumulates noisily from a starting point z until it reaches one of two boundaries. The drift rate v reflects the quality of the evidence, the boundary separation a reflects how much evidence is required (speed against accuracy), and z captures bias.

Symbols in The diffusion decision model
SymbolMeaningUnit
xxaccumulated evidence—
vvdrift rate (quality of evidence)—
ssnoise scale—
dWdWrandom (Wiener) increment—
a,za, zboundary separation and starting point—
Hyperbola-like discounting[13,25]
V=A(1+kD)sV = \frac{A}{(1 + kD)^{s}}

The subjective value V of a reward of amount A falls with its delay D. The rate k measures impatience; with s = 1 this is a simple hyperbola. The same form describes discounting of probabilistic rewards when D is replaced by the odds against receiving them.

Symbols in Hyperbola-like discounting
SymbolMeaningUnit
VVsubjective (discounted) value—
AAamount of the reward—
DDdelay until the rewarddays
kkdiscount rate1/day
ssscaling exponent—

Technology and AI

Prefrontal cortex as a learning machine. Drawing on advances in artificial intelligence, Wang and colleagues proposed that the dopamine system trains the prefrontal cortex to operate as its own free-standing learning system: through slow, reward-driven training, a recurrent network learns to learn new tasks quickly using its own activity. The theory accommodates the findings behind the standard dopamine model and a wider range of observations.[6]

ObservationLast action and rewardRecurrent networkAction
Meta-reinforcement learning (schematic). A schematic of the meta-learning idea: a recurrent network that also sees its previous action and reward is trained slowly by a dopamine-like signal, and ends up implementing a fast learning algorithm in its own activity.[6]

Stimulation in older adults. Four days of transcranial alternating-current stimulation, targeted by frequency and location, gave dissociable benefits in people aged 65–88: low-frequency stimulation of parietal cortex improved working memory, and high-frequency stimulation of prefrontal cortex improved long-term memory, both lasting at least a month. People with lower baseline cognitive function gained more.[20]

Classic tests of frontal function[8,9,12,14,21]
TestWhat it probesSource
Stroop colour–wordInterference and inhibitionStroop 1935
Card sortingShifting between rulesMilner 1963; Miyake et al. 2000
Tower of HanoiRelated most to inhibitionMiyake et al. 2000
Operation spanWorking memory updatingMiyake et al. 2000
Gambling taskWeighing future consequencesBechara et al. 1994
Oculomotor delayed responseSpatial working memory (monkeys)Funahashi et al. 1989

Milestones

From Gage to meta-learning

  1. 1935Stroop's studies of interference.[12]
  2. 1949Moniz shares the Nobel Prize for leucotomy.[23]
  3. 1956Miller's 'magical number seven'.[11]
  4. 1963Milner studies card sorting after brain lesions.[21]
  5. 1971Prefrontal neurons fire during memory delays.[15]
  6. 1989Memory fields of dorsolateral prefrontal neurons.[9]
  7. 1994Gage's injury reconstructed; prefrontal patients ignore future consequences.[1,14]
  8. 2000Unity and diversity of executive functions; a network model of working memory.[8,17]
  9. 2001An integrative theory of prefrontal function; the magical number 4.[3,10]
  10. 2004Time-lapse maps of cortical maturation.[19]
  11. 2011Revised criteria for behavioural-variant frontotemporal dementia.[22]
  12. 2018Prefrontal cortex as a meta-reinforcement learning system.[6]
  13. 2021Shared prefrontal control of working memory and attention.[18]
  14. 2022Lasting memory gains in older adults with focal stimulation.[20]

Frontiers

Control as transformation. In monkeys, items held in working memory were first represented in separate subspaces of prefrontal activity; selecting one transformed its representation into a new subspace used to guide behaviour, and attention did the same. The prefrontal cortex may control cognition by dynamically transforming representations.[18]

Targeted neuromodulation. The finding that the rate of improvement over four days predicted the benefit a month later, and that people with lower baseline function gained most, points towards stimulation tailored to memory-specific circuits.[20]

Check yourself

Check yourself

  1. Name the three executive functions studied by Miyake and colleagues.
    Show answer

    Shifting, updating and inhibition.

  2. In Miller and Cohen's theory, how does the prefrontal cortex control behaviour?
    Show answer

    By actively maintaining patterns that represent goals, which send bias signals that guide activity along task-appropriate pathways.

  3. What did Funahashi and colleagues find in prefrontal neurons during the delay?
    Show answer

    Many changed their activity, and most were directional, responding only for cues in a particular range of directions.

  4. What mechanism is thought to sustain persistent activity?
    Show answer

    Synaptic reverberation in recurrent circuits, largely through NMDA receptors.

  5. How did patients with ventromedial prefrontal damage behave in Bechara's task?
    Show answer

    They were insensitive to future consequences and seemed guided by immediate prospects.

  6. Which cortices mature last, according to Gogtay and colleagues?
    Show answer

    Higher-order association cortices, after the sensory cortices they integrate.

  7. In the diffusion decision model, what does the boundary separation control?
    Show answer

    How much evidence is needed before responding, trading speed against accuracy.

  8. Why did the lobotomy decline?
    Show answer

    Poor outcomes, critical portrayals, regulatory scrutiny and, eventually, antipsychotic drugs.

Glossary[3,5,6,8,9,12,16,24,25]

Prefrontal cortex
The front part of the frontal lobe, ahead of the motor areas, central to cognitive control.
Executive functions
Control processes such as shifting, updating and inhibition.
Working memory
Holding and manipulating information over seconds.
Persistent activity
Neural firing that continues through a delay, holding information in mind.
Memory field
The range of locations for which a prefrontal neuron shows delay activity.
Bump attractor
A stable, localised pattern of activity that can store an analog value such as a location.
Stroop effect
Slower naming of an ink colour when the word names a different colour.
Temporal discounting
The fall in the subjective value of a reward with its delay.
Drift rate
The average speed of evidence accumulation in the diffusion model.
Leucotomy
Psychosurgery on the prefrontal lobes, also known as lobotomy.
Meta-learning
Learning how to learn, so that new tasks are learned quickly.

References

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  2. Van Horn JD, Irimia A, Torgerson CM, Chambers MC, Kikinis R, Toga AW. Mapping connectivity damage in the case of Phineas Gage. PLoS ONE 2012;7(5):e37454. doi:10.1371/journal.pone.0037454
  3. Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annual Review of Neuroscience 2001;24:167-202. doi:10.1146/annurev.neuro.24.1.167
  4. FreeSurfer developers. CorticalParcellation (FreeSurfer wiki), section "Lobe mapping". FreeSurfer wiki. https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation
  5. Caruso JP, Sheehan JP. Psychosurgery, ethics, and media: a history of Walter Freeman and the lobotomy. Neurosurgical Focus 2017;43(3):E6. doi:10.3171/2017.6.FOCUS17257
  6. Wang JX, Kurth-Nelson Z, Kumaran D, Tirumala D, Soyer H, Leibo JZ, et al.. Prefrontal cortex as a meta-reinforcement learning system. Nature Neuroscience 2018;21(6):860-868. doi:10.1038/s41593-018-0147-8
  7. Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, et al.. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 2006;31(3):968-980. doi:10.1016/j.neuroimage.2006.01.021
  8. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex "frontal lobe" tasks: a latent variable analysis. Cognitive Psychology 2000;41(1):49-100. doi:10.1006/cogp.1999.0734
  9. Funahashi S, Bruce CJ, Goldman-Rakic PS. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. Journal of Neurophysiology 1989;61(2):331-349. doi:10.1152/jn.1989.61.2.331
  10. Cowan N. The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavioral and Brain Sciences 2001;24(1):87-114. doi:10.1017/S0140525X01003922
  11. Miller GA. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review 1956;63(2):81-97. doi:10.1037/h0043158
  12. Stroop JR. Studies of interference in serial verbal reactions. Journal of Experimental Psychology 1935;18(6):643-662. doi:10.1037/h0054651
  13. Kable JW, Glimcher PW. The neural correlates of subjective value during intertemporal choice. Nature Neuroscience 2007;10(12):1625-1633. doi:10.1038/nn2007
  14. Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 1994;50(1-3):7-15. doi:10.1016/0010-0277(94)90018-3
  15. Fuster JM, Alexander GE. Neuron activity related to short-term memory. Science 1971;173(3997):652-654. doi:10.1126/science.173.3997.652
  16. Wang XJ. Synaptic reverberation underlying mnemonic persistent activity. Trends in Neurosciences 2001;24(8):455-463. doi:10.1016/S0166-2236(00)01868-3
  17. Compte A, Brunel N, Goldman-Rakic PS, Wang XJ. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral Cortex 2000;10(9):910-923. doi:10.1093/cercor/10.9.910
  18. Panichello MF, Buschman TJ. Shared mechanisms underlie the control of working memory and attention. Nature 2021;592(7855):601-605. doi:10.1038/s41586-021-03390-w
  19. Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al.. Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences 2004;101(21):8174-8179. doi:10.1073/pnas.0402680101
  20. Grover S, Wen W, Viswanathan V, Gill CT, Reinhart RMG. Long-lasting, dissociable improvements in working memory and long-term memory in older adults with repetitive neuromodulation. Nature Neuroscience 2022;25(9):1237-1246. doi:10.1038/s41593-022-01132-3
  21. Milner B. Effects of different brain lesions on card sorting. Archives of Neurology 1963;9(1):90-100. doi:10.1001/archneur.1963.00460070100010
  22. Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, et al.. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 2011;134(9):2456-2477. doi:10.1093/brain/awr179
  23. Nobel Prize Outreach. The Nobel Prize in Physiology or Medicine 1949. NobelPrize.org 1949. https://www.nobelprize.org/prizes/medicine/1949/summary/
  24. Ratcliff R, McKoon G. The diffusion decision model: theory and data for two-choice decision tasks. Neural Computation 2008;20(4):873-922. doi:10.1162/neco.2008.12-06-420
  25. Green L, Myerson J. A discounting framework for choice with delayed and probabilistic rewards. Psychological Bulletin 2004;130(5):769-792. doi:10.1037/0033-2909.130.5.769

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Template anatomy for education. Not patient-specific. Not for clinical decision-making.