Traumatic brain injury (TBI) is a complex neurological condition caused by external force, ranging from mild TBI (concussion) to severe injuries associated with prolonged loss of consciousness and permanent deficits. TBIs may result from falls, motor vehicle collisions, sports injuries, violence, or blast exposures, affecting individuals across all ages—including military personnel, for whom the Veterans Health Administration has identified TBI as a signature injury.
TBI is a major public health concern in the United States and globally. In 2014, there were approximately 2.87 million TBI-related emergency department visits, hospitalizations, and deaths in the U.S.
Population-based data further highlight the long-term impact of head injury: approximately 11.4 million U.S. adults aged 40 and above with a history of TBI are living with disability in at least one functional domain. This substantial prevalence underscores the need for improved identification, monitoring, and management of TBI-related sequelae, including scalable and standardized cognitive assessment solutions that complement traditional neuropsychological evaluation.
Beyond acute physical consequences, TBIs often lead to persistent cognitive, emotional, and behavioral impairments that interfere with independent functioning, employment, and social participation. Among these outcomes, cognitive impairments are particularly common and functionally limiting.
The purpose of this article is to examine the role of cognitive assessment in identifying TBI-related cognitive impairments, addressing diagnostic challenges, guiding treatment planning, and supporting recovery and reintegration, while also exploring coding considerations and emerging assessment technologies, including digital platforms such as Creyos that integrate objective cognitive testing with symptom-based evaluation.
Cognitive sequelae of TBI result from diverse pathophysiological mechanisms, including diffuse axonal injury, focal contusions, metabolic disruption, and neuroinflammation, which impair neural networks critical for cognition. These disruptions can produce deficits across multiple domains, often persisting beyond the resolution of acute physical symptoms.
Attention and memory impairments are common. Patients may experience distractibility, reduced sustained attention, or difficulty with working memory and new learning, which can interfere with daily functioning and adherence to treatment.
Executive dysfunction—including challenges with planning, organization, problem-solving, and self-monitoring—is particularly impactful in real-world environments requiring complex decision-making and multitasking.
Language and communication difficulties, including word-finding problems and pragmatic communication deficits, may compromise social reintegration and interpersonal functioning.
The severity and presentation of cognitive impairments vary based on TBI severity: severe injuries often produce widespread deficits, whereas mild TBI may yield subtle but clinically meaningful impairments that evade standard neuroimaging.
Given this heterogeneity, early and structured cognitive assessment is essential for detecting deficits and guiding rehabilitation, particularly in settings where advanced imaging is not readily available and subtle cognitive impairments may otherwise go unrecognized.
In addition to domain-specific impairment, advances in cognitive assessment increasingly allow for alignment between observed deficits and underlying neural systems. In TBI—particularly moderate to severe injury—affected brain regions may be identifiable, creating an opportunity to link cognitive performance to specific neural networks.
Assessment platforms such as Creyos, designed with this framework in mind, can provide more targeted insight into how structural injury translates into functional impairment, strengthening both clinical interpretation and rehabilitation planning.
Diagnosing cognitive impairment following traumatic brain injury is complex due to symptom overlap with other conditions, including post-traumatic stress disorder (PTSD), depression, anxiety, and sleep disorders. Individuals with TBI who meet criteria for PTSD and/or depression often demonstrate poorer cognitive performance across attention, memory, processing speed, and executive function, highlighting the challenge of distinguishing TBI-related deficits from psychiatric or psychosocial factors.
Cognitive impairments may also emerge or evolve over time. Some deficits are evident in the acute phase, while others manifest weeks or months later, particularly as individuals resume cognitively demanding activities like work or school.
Patients with mild TBI may appear physically recovered, yet subtle cognitive inefficiencies persist, impacting functional performance and quality of life. These impairments are often not captured by routine clinical assessment or patient self-report, which can delay recognition and intervention.
Standard imaging, including computed tomography (CT) and conventional magnetic resonance imaging (MRI), is effective in detecting structural injuries but has limited sensitivity for the cognitive symptoms that some mild TBI patients report months after an injury. ,
Advanced imaging techniques may reveal subtle abnormalities, yet they are not routinely available or sufficient to characterize real-world cognitive functioning. Consequently, reliance on imaging alone can provide an incomplete picture of cognitive sequelae, highlighting the need for structured assessment tools to accurately identify deficits and guide management.
Symptom overlap, evolving deficits, and limitations of standard imaging highlight the need for objective cognitive assessment. Early detection supports accurate diagnosis and targeted rehabilitation, while digital platforms like Creyos enable scalable, longitudinal measurement and improved detection of subtle deficits not identified through symptom reporting alone.
Accurate diagnostic coding is critical for clinical documentation, care coordination, and reimbursement, while imprecise coding remains a leading driver of claim denials. ICD‑10‑CM codes, maintained and updated annually by the Centers for Medicare & Medicaid Services (2025), standardize injury severity, encounter timing, and long-term consequences. Imprecise coding can obscure cognitive impairment and complicate longitudinal tracking.
While diagnosing TBIs can be complex, they are primarily classified within the S06 category, including concussion (S06.0-) and other intracranial injuries such as contusions, hemorrhages, and diffuse injury.
| Category | Example ICD-10-CM Codes | |
|---|---|---|
| Concussion and TBI-Related Conditions | S06.x | Intracranial injury |
| F07.81 | Postconcussional syndrome | |
| R41.x | Cognitive function/awareness symptoms | |
| G44.3x | Post-traumatic headache | |
| I69.3–I69.998 | Sequelae of cerebrovascular disease (cognitive/motor) | |
| Z87.820 | Personal history of TBI | |
| Z13.850 | TBI screening encounter | |
| Associated Cognitive, Emotional, and Developmental Conditions | F06.7x | Mild neurocognitive disorder due to physiological condition |
| F07.89 | Other personality/behavioral changes due to physiological condition | |
| F43.10 | PTSD, unspecified | |
| F41.1 | Generalized anxiety disorder | |
| F32.9 | Depressive disorder, unspecified | |
| F80–F89 | Developmental disorders (speech/language, learning) | |
| G31.84 | Mild cognitive impairment (MCI), NOS | |
| Note: Accurate code selection requires detailed attention to injury mechanism, severity, loss of consciousness, and encounter type. The ICD-10-CM encounter designation—initial, subsequent, or sequela—is critical for capturing persistent or delayed cognitive impairments. | ||
Integrating structured cognitive assessment findings—including data from platforms like Creyos—supports accurate documentation, substantiates impairment, and facilitates coding transitions from acute to sequela codes. Accurate coding enhances population health analytics, quality reporting, and value-based care initiatives.
Structured cognitive assessments provide objective, domain-specific evaluation that complements clinical observation and imaging. They identify subtle deficits, characterize impairment patterns, and help differentiate TBI-related dysfunction from psychiatric or situational factors. Assessment tools include:
Early and ongoing assessment establishes cognitive baselines, guides rehabilitation, and supports timely interventions, while repeated testing enables monitoring of recovery trajectories and refinement of care plans.
Effective integration of cognitive assessment into TBI care requires consideration of timing, provider roles, and clinical application. In the acute phase, brief screening tools can help identify individuals requiring further evaluation, while more comprehensive assessments are typically conducted in the post-acute or chronic phases, when deficits are more stable and functionally apparent. Because cognitive recovery evolves over time, assessment at multiple time points is often beneficial.
Cognitive assessments may be conducted by a range of clinicians depending on the scope and setting. Neuropsychologists play a central role in comprehensive evaluation, while neurologists, physiatrists, psychologists, occupational therapists, sports medicine providers, and primary care clinicians may utilize screening or computerized tools. Creyos supports this approach by integrating objective cognitive testing with symptom-based measures, such as the RPQ, within a unified workflow. Interdisciplinary collaboration ensures that findings are appropriately interpreted and incorporated into care planning.
Assessment results provide objective specific insights that inform diagnosis, treatment planning, and functional decision-making. Identified deficits guide targeted rehabilitation strategies, compensatory approaches, and environmental modifications aligned with the individual’s cognitive profile.
Cognitive assessment also plays a role in supporting decisions related to return-to-work, return-to-school, and broader community reintegration. Subtle impairments—particularly in executive functioning or processing speed—may significantly affect performance in cognitively demanding roles, even when physical recovery appears complete. Objective cognitive data, including longitudinal insights from tools like Creyos, help guide graduated return plans and reduce the risk of premature return.
Ongoing reassessment enables clinicians to monitor recovery, adjust care plans, and address co-occurring factors influencing outcomes. In this way, cognitive assessment functions not only as a diagnostic tool, but also as a longitudinal measure of treatment effectiveness and functional recovery.
Advances in digital health technologies are transforming the assessment and management of cognitive impairments following TBI. Computerized cognitive testing platforms, including Creyos, offer scalable, standardized, and repeatable assessment options that support early identification and longitudinal monitoring across care settings. These tools may be particularly valuable in outpatient and primary care environments, where access to comprehensive neuropsychological testing is limited.
Integration of cognitive assessment data into electronic health records (EHRs) represents an important step toward more coordinated and data-driven TBI care. Embedding structured cognitive results within the clinical record improves interdisciplinary communication, supports continuity of care, and facilitates population-level analysis of outcomes. As interoperability improves, cognitive data may increasingly inform care pathways, quality metrics, and value-based care initiatives.
Emerging applications of artificial intelligence and machine learning hold promise for enhancing cognitive evaluation and outcome prediction in TBI. By leveraging clinical, cognitive, and functional data, these models may support prediction of outcomes, identification of recovery trajectories, and stratification of patient risk. Current evidence suggests that AI-based approaches can inform prognostication and contribute to more individualized care and clinical decision support, particularly when informed by structured and longitudinal cognitive data.
In addition to clinical insights, AI-driven tools may also reduce administrative burden and expand access to care. Scalable approaches—such as remote cognitive screening and triage—can enable earlier patient evaluation without requiring in-person visits or additional clinical staffing resources. These capabilities support more efficient workflows while improving timely access to assessment, particularly in the early stages following injury.
Cognitive impairments are a common consequence of traumatic brain injury. Given the limitations of symptom reporting and neuroimaging alone, structured cognitive assessment plays a critical role in identifying deficits, informing diagnosis, and guiding treatment planning. Early and ongoing cognitive evaluation enables more precise rehabilitation strategies, supports functional decision-making, and improves long-term recovery outcomes.
As TBI care continues to evolve, broader implementation of cognitive assessment across clinical settings will play a key role. Clinicians who prioritize cognitive health as a core component of TBI management can now leverage modern, accessible assessment technologies, including Creyos, to enhance identification, monitoring, and longitudinal tracking of cognitive impairments.
By combining objective cognitive testing, symptom-based evaluation, and emerging data-driven approaches, healthcare systems are increasingly positioned to deliver more precise, efficient, and patient-centered care following traumatic brain injury.
Reviewed by Mike Battista, Director of Science & Research at Creyos
Mike Battista specializes in brain health, cognition, and neuropsychological testing. He received his PhD in personality and measurement psychology at Western University in 2010 and has been doing fun and useful stuff in the intersection between science and technology ever since.