Lesson Introduction

Executive-function difficulties are frequently associated with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and specific learning disorders (SLD). However, the presence of executive-function difficulties does not necessarily distinguish one neurodevelopmental condition from another. Students with different diagnoses may experience similar challenges with attention, planning, working memory, behavioral regulation, and cognitive flexibility.

For psychologists working in schools, this overlap presents an important assessment challenge. Difficulties initiating assignments, remembering multistep directions, transitioning between activities, or organizing academic materials may occur for different reasons. A student’s diagnostic history provides useful background, but it does not establish the cognitive mechanisms underlying a particular classroom difficulty.

Sadozai and colleagues (2024) investigated executive-function performance across neurodevelopmental conditions through a systematic review and meta-analysis of 180 studies. Their findings support a transdiagnostic understanding of executive functioning while identifying some differences between diagnostic groups. This lesson examines those findings, evaluates their limitations, and demonstrates how they can inform individualized assessment and consultation without encouraging diagnostic stereotyping.

Learning Objectives

Upon completion of this lesson, participants will be able to:

1. Compare executive-function findings across ADHD, autism spectrum disorder, and specific learning disorders, including areas of similarity and statistically significant differences.
2. Interpret between-condition effect sizes and confidence intervals while identifying limitations of using executive-function profiles for differential diagnosis.
3. Develop individualized school-based assessment and consultation approaches that account for diagnostic overlap, co-occurring conditions, and contextual influences.

Required Reading Assignment

What to Focus on While Reading

1. Compare the overall executive-function findings for ADHD, ASD, and SLD relative to control groups. Identify why similar average effects do not imply identical individual functioning.
2. Examine the direct ADHD–ASD comparison. Distinguish the overall executive-function result from the finding involving set-shifting.
3. Review the ADHD–SLD comparison. Identify the executive-function domains in which statistically significant differences were observed.
4. Examine the ASD–SLD comparison. Consider how the number of available studies affects the precision and interpretation of the findings.
5. Review Figure 4 and consider how confidence intervals, study counts, and variability affect conclusions about between-condition differences.
6. Consider the finding that studies involving co-occurring neurodevelopmental conditions showed larger average executive-function differences relative to controls.
7. Identify which conclusions support a transdiagnostic framework and which findings require further research before being translated into individual diagnostic decisions.

Executive Functioning as a Shared Feature of Neurodevelopmental Conditions

Neurodevelopmental conditions are typically defined using patterns of developmental, behavioral, cognitive, and functional characteristics. Although diagnostic categories provide useful frameworks for describing clinical presentations, many underlying cognitive processes contribute to functioning across more than one condition.

Executive functioning is a particularly relevant example. Working memory, attention regulation, response inhibition, planning, and cognitive flexibility support successful performance in many educational activities. Difficulties in these processes may interfere with completing assignments, following classroom routines, organizing work, and responding to changes in expectations.

The Sadozai et al. meta-analysis found a moderate overall executive-function difference between neurodevelopmental groups and controls, with Hedges’ g = 0.56 and a 95% confidence interval of 0.49 to 0.63. Importantly, the conditions with the largest research bases, including ADHD, ASD, and SLD, showed broadly similar average executive-function differences relative to controls.

This supports the view that executive-function difficulties are not exclusive to any single diagnostic category. However, a transdiagnostic finding does not establish that all neurodevelopmental conditions share identical cognitive mechanisms. Similar observable performance may arise from different combinations of underlying processes, environmental demands, and developmental experiences.

Distinguishing Diagnostic Labels From Functional Profiles

A diagnostic label describes a recognized pattern of characteristics. A functional profile describes how an individual performs under particular conditions. These are related but distinct forms of information. A student with ADHD may demonstrate adequate performance on a structured working-memory task but have difficulty independently organizing assignments. A student with SLD may struggle to maintain information during complex reading tasks while performing adequately on tasks with reduced language demands.

In both situations, the relevant professional question is not simply whether executive functioning is impaired. Instead, the team should identify the demands associated with unsuccessful performance, the supports already available, and the conditions under which the student demonstrates greater independence.

What the Meta-Analysis Found Across ADHD, Autism, and SLD

To determine whether executive-function patterns differed across diagnostic categories, Sadozai and colleagues conducted direct between-condition comparisons. This is an important methodological distinction. A study showing that two conditions differ from controls does not necessarily demonstrate that the conditions differ from each other.

Between-condition analyses help address whether average differences are associated with particular diagnostic groups. However, even statistically significant findings do not establish that a measure can accurately classify individual students. Diagnostic discrimination requires additional evidence about sensitivity, specificity, overlap, and performance in relevant populations.

ADHD Compared With Autism Spectrum Disorder

The authors identified 39 studies contributing 284 outcomes to the overall ADHD–ASD comparison. The pooled difference was g = 0.076, with a 95% confidence interval of −0.026 to 0.18. The overall comparison was not statistically significant.

This finding suggests that the reviewed literature did not establish a reliable overall executive-function difference between the ADHD and ASD groups. It does not establish equivalence between every student or every executive-function domain.

In a domain-specific comparison, the ADHD group performed better than the ASD group on measures of set-shifting. This comparison included 16 studies and 42 outcomes, with an effect size of g = −0.19 and a 95% confidence interval of −0.35 to −0.019.

Although statistically significant, the estimated difference was small. The finding is relevant to theories of cognitive flexibility, but it should not be used as a diagnostic decision rule. Many students with autism will perform well on set-shifting measures, and many students with ADHD will experience flexibility difficulties.

ADHD Compared With Specific Learning Disorders

The ADHD–SLD comparison included 33 studies and 213 outcomes. The overall executive-function difference was g = 0.099, with a 95% confidence interval of −0.066 to 0.26. This comparison was not statistically significant.

However, domain-specific comparisons identified larger average difficulties in the ADHD group for planning (g = 0.58; 95% CI 0.29–0.88) and set-shifting (g = 0.43; 95% CI 0.09–0.76). The planning comparison included 12 studies, while the set-shifting comparison included 10 studies.

These findings illustrate why the overall effect and individual domain effects must be interpreted separately. The absence of a statistically significant overall difference does not rule out particular domain differences. Conversely, a domain difference does not establish a broad diagnostic distinction.

Autism Compared With Specific Learning Disorders

The ASD–SLD comparison included only four studies and nine outcomes. The overall estimate was g = 0.046, with a wide 95% confidence interval of −0.70 to 0.79. No statistically significant overall difference was identified.

The confidence interval is particularly important because it indicates substantial uncertainty about the average difference. The authors also noted that the domain-specific comparison did not include set-shifting measures. It would therefore be inappropriate to interpret the absence of a significant finding as evidence that ASD and SLD have identical executive-function profiles.

Summary of Direct Comparisons

Source: Sadozai et al. (2024), Results, “EF profiles in specific NDCs.” These are direct between-condition comparisons, not comparisons against typically developing controls.

Co-Occurring Conditions, Development, and Assessment Complexity

Neurodevelopmental conditions frequently co-occur, creating additional complexity when interpreting executive-function findings. A student may have both ADHD and SLD, or autism and ADHD, with functional difficulties that cannot be adequately explained by considering only one diagnosis.

Sadozai and colleagues examined studies that recruited children with co-occurring neurodevelopmental conditions. Those studies showed a larger average executive-function difference relative to controls, with g = 0.72 and a 95% confidence interval of 0.59 to 0.86.

Studies requiring a single neurodevelopmental diagnosis showed an average effect of g = 0.53, with a 95% confidence interval of 0.46 to 0.60. These are comparisons between sets of studies, not evidence that an additional diagnosis necessarily causes a predictable increase in impairment for an individual child.

The finding supports the importance of considering co-occurring needs. For example, a student with both ADHD and a reading disorder may experience difficulty completing independent assignments because of combined attention-regulation demands and inefficient decoding. Addressing only one contributing factor may leave significant barriers unresolved.

Developmental Expectations

Executive-function demands change as students move through school. Early elementary classrooms typically provide frequent adult reminders, shorter assignments, and more structured routines. Later grades often require students to manage multiple teachers, organize assignments independently, and plan for longer-term deadlines.

Consequently, a student’s functional difficulties may become more visible as environmental demands increase. This does not necessarily indicate deterioration in cognitive ability. It may reflect a widening mismatch between the student’s existing skills and the organizational demands of the setting.

Cultural, Linguistic, and Environmental Context

Executive-function performance should also be interpreted in relation to language demands, cultural expectations, disability accommodations, and access to instruction. Students who are learning in an additional language may require more processing resources for complex verbal directions. Students with sensory sensitivities may demonstrate different levels of flexibility in quiet and highly stimulating environments.

Such contextual factors should neither be ignored nor automatically treated as complete explanations. The goal is to determine whether difficulties persist under accessible, appropriately supported conditions and how they affect educational participation.

Applied Professional Practice

Example 1: ADHD and Reading Difficulties

A fifth-grade student has an ADHD diagnosis and persistent reading difficulties. Teachers report incomplete written assignments, inconsistent attention, and difficulty remembering instructions. During individual instruction, the student completes oral tasks more successfully than comparable written tasks. The student also performs better when reading demands are reduced.

An assessment plan focused solely on attention would risk overlooking academic skill deficits. Similarly, attributing all difficulties to reading would overlook possible attention-regulation needs. A more defensible approach examines academic achievement, classroom performance, relevant executive-function processes, developmental history, and the effects of instructional supports.

Consultation might include explicit reading instruction where indicated, written or visual task cues, assignment segmentation, and monitoring of both academic performance and independent task completion. These supports should be selected and evaluated according to the student’s individual needs.

Example 2: Autism and Classroom Transitions

A seventh-grade student with autism experiences difficulty transitioning between activities, particularly when the schedule changes unexpectedly. The student performs adequately on structured cognitive-flexibility tasks but becomes distressed during crowded, noisy transitions. Caregivers report successful transitions when changes are communicated in advance.

The assessment team should avoid concluding that a single standardized task establishes intact flexibility across all contexts. Likewise, the student’s autism diagnosis does not establish that every transition difficulty reflects a cognitive-flexibility impairment.

Relevant assessment questions include the role of sensory demands, predictability, communication, emotional regulation, and available supports. A consultation plan might evaluate advance notice, accessible schedules, reduced sensory load, and explicit transition routines while monitoring participation and student-reported distress.

Key Takeaways

1. Executive-function difficulties occur across ADHD, autism, and specific learning disorders, supporting a transdiagnostic perspective.
2. The meta-analysis did not identify statistically significant overall executive-function differences between ADHD and ASD, ADHD and SLD, or ASD and SLD.
3. Selected domain-specific differences were identified, including set-shifting differences between ADHD and ASD and planning and set-shifting differences between ADHD and SLD.
4. Between-condition findings describe research groups, not diagnostic rules for individual students.
5. Studies recruiting children with co-occurring conditions showed larger average executive-function differences relative to controls, emphasizing the importance of evaluating multiple needs.
6. Educational assessment should integrate developmental history, direct measures, classroom observations, student and caregiver perspectives, and contextual information.
7. Effective consultation focuses on observable functional needs, individualized supports, and measurable educational outcomes rather than relying solely on diagnostic labels.

Primary reference: Sadozai et al. (2024). Nature Human Behaviour, 8, 2357–2366. DOI: 10.1038/s41562-024-02000-9. Research findings are distinguished from fictional student examples and illustrative professional applications. The original research article is open access under Creative Commons Attribution 4.0.