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COGNITION

Interruptions and multitasking: why the prefrontal cortex runs out of energy during the workday

Tea Latvala 1 September 2026
A knowledge worker amid multiple screens and notifications, with a glowing visualisation of the prefrontal cortex depicting the depletion of its energy reserves.
Introduction

Explore how interruptions and multitasking deplete your prefrontal cortex, leading to cognitive fatigue and reduced productivity.

In the modern workplace, interruptions and multitasking are ubiquitous, often leaving knowledge workers feeling mentally drained by day’s end. The prefrontal cortex, crucial for decision-making and focus, becomes overloaded with constant task-switching. This cognitive strain is compounded by attention residue, where remnants of previous tasks linger, reducing efficiency (Leroy 2009). Furthermore, multitasking can lead to glutamate accumulation, a neurochemical linked to cognitive fatigue (Wiehler et al. 2022). Studies also show that frequent media multitasking correlates with reduced grey-matter density in brain regions responsible for cognitive control (Loh & Kanai 2014). Understanding these mechanisms can help mitigate their impact on your workday.

The prefrontal cortex: the brain’s finite control room

The prefrontal cortex (PFC) serves as the brain’s control room, managing complex cognitive tasks and decision-making processes. It is particularly sensitive to the demands of multitasking and interruptions, which can deplete its resources. Studies have shown that multitasking increases cognitive load, as evidenced by functional near-infrared spectroscopy (fNIRS) measurements, leading to increased activity in the PFC (Boere et al. 2024). This heightened activity is not without cost: it accelerates cognitive fatigue, making it difficult to maintain focus and productivity throughout the day.

Interruptions exacerbate the strain on the PFC by introducing task-switch costs. Each switch requires cognitive resources to reorient attention, which can increase stress and reduce efficiency (Mark et al. 2008). Moreover, the concept of attention residue suggests that after switching tasks, a portion of one’s attention remains stuck on the previous task, impairing performance on the new one (Leroy 2009). This residue accumulates, further taxing the PFC and hindering cognitive performance.

Biochemically, the accumulation of glutamate in the lateral PFC is a key factor in cognitive fatigue. As tasks pile up and interruptions persist, glutamate levels rise, impairing neuronal function and reducing the brain’s ability to sustain prolonged mental effort (Wiehler et al. 2022). Additionally, chronic multitasking has been associated with reduced grey-matter density in brain regions such as the anterior cingulate cortex (ACC), which is crucial for cognitive control (Loh & Kanai 2014). These changes underscore the finite nature of the PFC’s resources and its vulnerability to modern work demands.

  • Limit multitasking to preserve prefrontal cortex resources.
  • Minimize interruptions to reduce task-switch costs and attention residue.
  • Incorporate regular breaks to manage glutamate levels and cognitive fatigue.

The task-switch cost and attention residue

The concept of task-switch cost highlights the cognitive toll exacted by frequent interruptions. Each time a knowledge worker shifts focus between tasks, the brain incurs a delay in cognitive processing, leading to reduced efficiency and increased stress (Mark et al. 2008). This phenomenon is particularly taxing on the prefrontal cortex, which is responsible for managing complex cognitive behaviors. The energy required for these constant shifts can deplete neural resources, contributing to cognitive fatigue over the workday.

Attention residue occurs when the mind remains partially engaged with a previous task even after switching to a new one. This lingering cognitive presence impairs performance on subsequent tasks, as the brain struggles to fully disengage from prior activities (Leroy 2009). The prefrontal cortex, already burdened by multitasking demands, becomes less effective at filtering out irrelevant information, further exacerbating cognitive load. Such residue not only reduces productivity but also heightens the risk of errors.

The cumulative impact of task-switch cost and attention residue is significant. As the prefrontal cortex becomes overloaded, the accumulation of glutamate, a neurotransmitter linked to cognitive fatigue, increases (Wiehler et al. 2022). This biochemical buildup can lead to a decline in decision-making capabilities and overall mental clarity. By understanding these mechanisms, knowledge workers can better manage their cognitive resources, minimizing disruptions and enhancing focus throughout the day.

  • Minimize task-switching to reduce cognitive load and stress.
  • Allow time for mental disengagement between tasks to decrease attention residue.
  • Implement strategies to manage interruptions, preserving prefrontal cortex energy.

Cognitive fatigue is a metabolic phenomenon

Cognitive fatigue is fundamentally a metabolic issue, rooted in the brain’s energy consumption processes. The prefrontal cortex, crucial for decision-making and attention, becomes depleted as it constantly manages interruptions and multitasking. This depletion is linked to the accumulation of glutamate, a neurotransmitter that, in excess, can impair cognitive function (Wiehler et al. 2022). As the day progresses, the energy required to manage these tasks increases, leading to a decline in cognitive performance.

The phenomenon of task-switching imposes a significant cognitive load, as the brain must repeatedly adjust to new contexts. This adjustment is not instantaneous, resulting in a ’task-switch cost’ that can lead to increased errors and stress (Mark et al. 2008). Attention residue, the lingering cognitive focus on a previous task, further complicates this process, reducing efficiency in subsequent tasks (Leroy 2009). These effects cumulatively drain mental resources, exacerbating cognitive fatigue.

Furthermore, chronic multitasking may alter brain structure, as evidenced by reduced grey-matter density in the anterior cingulate cortex among heavy media multitaskers (Loh & Kanai 2014). This structural change can diminish the brain’s ability to regulate attention and manage cognitive load effectively. Functional near-infrared spectroscopy (fNIRS) studies have shown increased prefrontal cortex activation during multitasking, indicating heightened cognitive demands (Boere et al. 2024). These findings underscore the metabolic strain multitasking imposes on the brain.

  • Cognitive fatigue results from metabolic strain in the prefrontal cortex.
  • Task-switching and attention residue increase cognitive load and errors.
  • Chronic multitasking may lead to structural brain changes, reducing efficiency.

The evidence: multitasking, interruptions and brain structure

The prefrontal cortex, responsible for high-level cognitive functions, is particularly vulnerable to the demands of multitasking and interruptions. Studies using functional near-infrared spectroscopy (fNIRS) have shown that multitasking significantly increases cognitive load in this region, leading to quicker depletion of mental resources (Boere et al. 2024). This depletion manifests as cognitive fatigue, impairing decision-making and problem-solving abilities. Moreover, the lateral prefrontal cortex accumulates glutamate during prolonged cognitive tasks, which is associated with increased fatigue and reduced cognitive performance (Wiehler et al. 2022).

Interruptions exacerbate these effects by imposing a task-switching cost. When a task is interrupted, the brain must expend additional energy to reorient itself, leading to increased stress and decreased efficiency (Mark et al. 2008). This constant shifting leaves ’attention residue,’ where remnants of the previous task linger, further reducing focus and productivity on the current task (Leroy 2009). Such cognitive fragmentation can lead to a cycle of inefficiency, where the brain struggles to maintain optimal performance across tasks.

Chronic exposure to multitasking environments may even alter brain structure. Research indicates that individuals who frequently engage in media multitasking exhibit smaller grey-matter density in the anterior cingulate cortex (ACC), a region linked to cognitive control and emotional regulation (Loh & Kanai 2014). This structural change could potentially impair one’s ability to manage attention and regulate emotions effectively. Thus, the evidence underscores the importance of minimizing interruptions and focusing on single tasks to preserve cognitive health and efficiency.

  • Multitasking increases cognitive load, depleting the prefrontal cortex’s resources.
  • Interruptions cause attention residue, reducing focus and productivity.
  • Frequent multitasking may lead to structural changes in the brain, affecting cognitive control.

Limits of the evidence: correlation and individuality

The relationship between multitasking, interruptions, and cognitive fatigue is complex and not entirely understood. While studies such as those by Wiehler et al. (2022) have shown that glutamate accumulation in the lateral prefrontal cortex correlates with cognitive fatigue, this does not necessarily imply causation. Individual variability in cognitive resilience and brain structure means that not everyone experiences the same level of fatigue from similar tasks. This highlights the importance of considering personal differences when evaluating the impact of multitasking on brain health.

Research by Mark et al. (2008) indicates that interruptions lead to increased speed and stress, yet these findings are not universally applicable. The cognitive load experienced during multitasking can vary significantly between individuals, as shown by Boere et al. (2024) using prefrontal fNIRS. This suggests that while some may thrive under multitasking conditions, others may experience significant cognitive strain. Understanding these individual differences is crucial for developing personalized strategies to manage cognitive load effectively.

Furthermore, the concept of attention residue, as explored by Leroy (2009), underscores the lingering effects of task-switching. However, the degree to which attention residue affects performance can differ based on personal cognitive strategies and environmental factors. The evidence points to a need for further research to delineate these individual differences more clearly. While current studies provide valuable insights, they also emphasize the limitations of generalizing findings across diverse populations.

  • Recognize that cognitive fatigue varies individually; what strains one person may not affect another.
  • Consider personalizing strategies to manage interruptions, as cognitive load differs among individuals.
  • Further research is needed to fully understand individual differences in multitasking effects.

Practical protection against interruptions

To protect the prefrontal cortex from the cognitive fatigue associated with constant interruptions, it is crucial to establish boundaries that minimize task-switching. Research indicates that interruptions can increase stress levels and reduce work efficiency, leading to a phenomenon known as attention residue, where fragments of the previous task linger in the mind (Leroy 2009). This residue can impair cognitive performance on subsequent tasks, exacerbating mental fatigue.

Implementing structured work periods can substantially mitigate the cognitive load on the prefrontal cortex. By allocating specific times for checking emails and messages, workers can reduce the frequency of interruptions. This approach allows the brain to focus on one task at a time, thereby decreasing the accumulation of glutamate in the lateral prefrontal cortex, which has been linked to cognitive fatigue (Wiehler et al. 2022).

Moreover, creating an environment that supports deep work is essential. This can involve using tools such as noise-canceling headphones or setting ’do not disturb’ periods. Such strategies help maintain focus and preserve grey-matter density in areas like the anterior cingulate cortex, which is negatively affected by media multitasking (Loh & Kanai 2014). By consciously managing one’s work environment, it is possible to protect cognitive resources and enhance productivity.

  • Schedule specific times for checking emails to minimize interruptions.
  • Use noise-canceling headphones to create a focus-friendly environment.
  • Set ’do not disturb’ periods to support deep work and cognitive health.

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References & Science

  1. Wiehler et al. 2022 (glutamate accumulation in lateral prefrontal cortex & cognitive fatigue). https://doi.org/10.1016/j.cub.2022.07.010
  2. Mark et al. 2008 (the cost of interrupted work: more speed and stress). https://www.ics.uci.edu/~gmark/chi08-mark.pdf
  3. Leroy 2009 (attention residue when switching between work tasks). https://doi.org/10.1016/j.obhdp.2009.04.002
  4. Loh & Kanai 2014 (media multitasking & smaller grey-matter density in the ACC). https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0106698
  5. Boere et al. 2024 (cognitive load in multitasking, prefrontal fNIRS). https://pmc.ncbi.nlm.nih.gov/articles/PMC12172848/