Traumatic brain injury and post-acute decline: what role does environmental enrichment play? A scoping review
- 1Graduate Department of Rehabilitation Science, University of Toronto, Toronto, ON, Canada
- 2Cognitive Neurorehabilitation Sciences Laboratory, Toronto Rehabilitation Institute, Toronto, ON, Canada
- 3Département de Réadaptation, Université Laval, Québec City, QC, Canada
- 4Centre Interdisciplinaire Recherche en Réadaptation et Intégration Sociale, Québec City, QC, Canada
Objectives: While a growing number of studies provide evidence of neural and cognitive decline in traumatic brain injury (TBI) survivors during the post-acute stages of injury, there is limited research as of yet on environmental factors that may influence this decline. The purposes of this paper, therefore, are to (1) examine evidence that environmental enrichment (EE) can influence long-term outcome following TBI, and (2) examine the nature of post-acute environments, whether they vary in degree of EE, and what impact these variations have on outcomes.
Methods: We conducted a scoping review to identify studies on EE in animals and humans, and post-discharge experiences that relate to barriers to recovery.
Results: One hundred and twenty-three articles that met inclusion criteria demonstrated the benefits of EE on brain and behavior in healthy and brain-injured animals and humans. Nineteen papers on post-discharge experiences revealed that variables such as insurance coverage, financial, and social support, home therapy, and transition from hospital to home, can have an impact on clinical outcomes.
Conclusion: There is evidence to suggest that lack of EE, whether from lack of resources or limited ability to engage in such environments, may play a role in post-acute cognitive and neural decline. Maximizing EE in the post-acute stages of TBI may improve long-term outcomes for the individual, their family and society.
Moderate to severe traumatic brain injury (TBI) is a ubiquitous injury: studies suggest an annual incidence of upwards of 20–60 per 100,000 (Narayan et al., 2002; Bruns and Hauser, 2003; Cassidy et al., 2004; C.I.H.I., 2006). Many of these injuries are sustained in young adulthood (C.I.H.I., 2006; Faul et al., 2010) and result in significant impairment to cognitive, motor, and emotional functioning. Predominant and persisting deficits to executive functioning, attention, memory, and speed of processing compromise psychosocial functioning and quality of life (Sander et al., 2001; Hawthorne et al., 2009; Resch et al., 2009). Because these deficits prevent many TBI survivors from returning to pre-injury levels of activity and participation (Dikmen et al., 1983, 1995; Lezak, 2004; Christensen et al., 2008), successful community integration is now recognized as a primary goal of rehabilitation for persons with brain injury (Sander et al., 2010).
The consequences of brain injury are particularly concerning given the high incidence of TBI. Murray and Lopez (1997) predicted that by 2020, TBI will be the third leading cause of disability in the world. Considering that males aged 15–24 years have the highest incidence of TBI (Pickett et al., 2004; C.I.H.I., 2006; Faul et al., 2010), this can mean decades of disability and lost productivity. Not surprisingly, the annual burden of acute care and rehabilitation in North America is estimated to be in the billions of dollars (SMARTRISK, 2006; Faul et al., 2010).
A theoretically intriguing and clinically important question that is emerging from the literature is whether an impediment to recovery and a contributing factor to failed community integration after moderate to severe TBI is cognitive and brain deterioration in the post-acute stages after brain injury. TBI recovery studies typically show an asymptotic pattern of recovery, with rapid improvement within the first weeks and months of injury, followed by a slower rate of improvement and then a plateau with limited measureable recovery thereafter (Basso, 1989; Heinemann et al., 1995; Blatter et al., 1997; Holbrook et al., 1999; Christodoulou et al., 2001; Farne et al., 2004). However, not only do many fail to return to pre-injury levels of function when they reach that plateau (Christensen et al., 2008), but there is growing evidence that a subset of TBI survivors show cognitive deterioration.
A number of studies that have examined post-acute cognitive changes in TBI survivors have demonstrated that across domains of functioning, a combination of maintenance, further recovery and frank declines are observed (Ruff et al., 1991; Millis et al., 2001; Sander et al., 2001; Himanen et al., 2006; Salmond et al., 2006; Till et al., 2008). For example, Till et al. (2008) showed that nearly 30% of their sample of moderate-severe TBI patients showed clinically significant decline (as measured by the reliable change index) in two or more domains of cognitive functioning.
In examining changes of the brain during the post-acute stages of TBI, imaging studies have also shown evidence of deterioration, including decreased cerebral blood flow (Kim et al., 2010), declines in whole brain volume (Blatter et al., 1997; Mackenzie et al., 2002; Trivedi et al., 2007; Ng et al., 2008; Sidaros et al., 2009; Hudak et al., 2011), atrophy of discrete gray, and white matter structures including the hippocampus and corpus callosum (Wilson et al., 1988; Bigler et al., 1997; Levine et al., 2008; Ng et al., 2008; Sidaros et al., 2008), lesion expansion (Ng et al., 2008); and reduced white matter integrity as measured by diffusion tensor imaging (Bendlin et al., 2008; Greenberg et al., 2008; Sidaros et al., 2008; Warner et al., 2010; Farbota et al., 2012).
Correlations between brain and behavioral decline have also been observed. In one study, 24 TBI survivors underwent MRI scans at 8 weeks and 12 months post-injury. The authors not only demonstrated increased atrophy during this time period, but also negatively correlated outcomes on the Glasgow Outcome Scale (Sidaros et al., 2009). In other studies, Hudak et al. (2011) found that decreases in brain volume correlated with depressive symptoms in the post-acute phase, and Farbota et al. (2012) demonstrated that diffusion tensor imaging findings (fractional anisotropy values) and neuropsychological task performance were positively correlated.
Given mounting evidence revealing post-acute decline, we suggest that it is important at this stage of research to begin to consider what factors may hold the potential to influence, and in particular, offset this decline.
One factor that may play a role is “environmental enrichment” (EE). As we will discuss further in the next section, EE broadly refers to enhanced stimulation, associated with (1) environments that provide access to cognitive as well as physical and social stimulation, and (2) conditions that encourage maximal participation. An extensive body of literature shows positive correlations between EE and cognitive and neuronal status. (Scarmeas and Stern, 2003; Will et al., 2004; Simpson and Kelly, 2011). There have also been some findings to suggest that EE influences post-acute decline. In Till et al.'s (2008) study of post-injury cognitive decline, the authors found a relationship between hours of therapy at 5 months post-injury and degree of cognitive decline from 12 to 24 months. They concluded that lack of access to complex and enriched environments, due in part to limited access to resources, may play a critical a role in decline. In another study, Miller and Green (in press) found that greater hippocampal volume loss in the chronic stages of TBI (12–24 months post-injury) was negatively correlated with degree of cognitive stimulation reported at 5 months post-injury.
These few but important findings raise the question whether post-acute decline in these survivors was influenced by the extent of enrichment, or lack thereof, in the environments to which they were discharged following the early and intensive months of therapy. A reduction in the level of enrichment in the later stages of recovery from TBI might occur when the number and hours of therapies are reduced or when patients move from in-patient neurorehabilitation back to the home environment. Additionally, TBI survivors may return to environments that are indeed complex and enriched, but without the expertise of therapists actively providing supports and adaptations to the environments, patients may be unable to engage due to cognitive, emotional and/or physical impairments that render the environments overwhelming or inaccessible.
The purposes of this paper, therefore, are to (1) examine evidence that EE can influence long-term outcome following TBI, and (2) examine the nature of post-acute environments, whether they vary in degree of EE, and what impact these variations have on outcomes. To accomplish these aims, we will undertake a scoping review summarizing literature related to EE and post-acute environments.
Scoping Review Methods
This paper addresses two of the reasons for undertaking a scoping review identified by Arksey and O'Malley (2005): to summarize and disseminate research findings and to identify research gaps in the existing literature. The scoping review typically unfolds in five steps: (1) identify the research question; (2) identify all pertinent studies; (3) select the studies for detailed analysis; (4) chart the data according to key concepts; and (5) collate and summarize the findings of the selected studies (Arksey and O'Malley, 2005; Rumrill et al., 2010):
Identify the Research Question
The research questions addressed in this paper are whether (1) EE can influence long-term recovery, and (2) post-discharge environments vary in degree of EE, and whether such variations influence outcomes.
Identify All Pertinent Studies
The literature review aimed to identify a comprehensive set of articles detailing the effects of EE in animals and humans, and the post-discharge experiences related to recovery and regaining independence in the post-acute stages after TBI. Articles that addressed these topics were obtained through use of a traditional keyword-driven electronic search guided by the following terms: TBI; recovery; EE; environmental complexity; active lifestyle; stimulation; neuroplasticity; cognitive reserve; intervention; multi-disciplinary; multi-contextual; post-rehabilitation; transition home; barriers; community integration; re-engagement. Peer-reviewed journals were searched using the PubMed and Cochrane Collaboration research databases as well as the Google Scholar search engine, for articles published between 1987 and 2012. Additionally, hand searches were conducted of references from key articles to follow up on seminal work and promising literature that might not have been captured by the databases used.
Select Studies for Detailed Analysis
To be considered for inclusion in the review, articles had to meet the following criteria: (1) describe EE (or components of EE) in animals or adult humans or (2) describe the post-discharge experience, and more specifically, the transition from hospital to home in adult brain-injury survivors; and (3) be available in English. No methodological limitations were applied to screen for levels of evidence.
Chart Data According to Key Concepts
Articles that met the inclusion criteria were reviewed in detail and categorized based on population examined, methodology, and study objectives to discover commonalities and provide connections between the sets of literatures reviewed.
Collate and Summarize Findings
The results are presented to correspond with the objectives of this paper. A numerical summary of the articles included is followed by a summary of the literature.
Database searches identified 2053 articles. Of these, 142 were included in the review based on the selection criteria listed above. Table 1 provides a brief summary of the articles that were included. Tables 2 and 3 provide a more detailed summary of the papers that specifically addressed EE in brain-injured animals and humans, as well as EE and post-discharge experiences, respectively. Tables 2 and 3 detail the populations, methods, objectives, and main findings of the articles that were included.
Table 2. Detailed summary of articles included in “Brain-injured animals and EE” and “Brain-injured humans and EE” scoping review.
Table 3. Detailed summary of articles included in “Post-discharge experiences and EE” scoping review.
Environmental Enrichment has Beneficial Effects on Brain and Behavior in Animals and Humans
Defining Environmental Enrichment
A number of definitions have been proposed for EE, and it is often defined in relative terms. In animal studies, EEs (e.g., cages with running wheels, novel toys, several animals) are typically contrasted with standard or impoverished environments (e.g., cages with a single animal, and only the basic necessities for living). In these studies, researchers have stressed the importance of having cognitive, social and physical stimulation for environments to be considered enriched and a key property is the maintenance of novelty, for example through regularly changing toys and food (Diamond, 2001; Simpson and Kelly, 2011).
Kramer et al. (2004) have suggested that while numerous positive changes in cognitive functioning, neuroanatomy, and neurochemistry have been demonstrated as a result of exposure to EE in animals, we must examine the degree to which these findings translate to humans, and that an operational definition of EE applicable to humans needs to be established. Whereas novel toys and food, running wheels, and housing several animals together maps on well to cognitive, physical, and social stimulation in animals, identification of such concrete mappings in humans has proven more difficult. Subject factors, such as motivation and mental effort play a large role in reaping the benefits of EE. Thus, personality and earlier life experiences may influence engagement with the environment, such that what is a stimulating and engaging environment for one person may not be for another (Johansson, 2003). Thus, for humans, the definition of EE is more complex, addressing both the nature of the environment and factors that influence engagement with it.
These ideas of Kramer et al. (2004) are consistent with earlier work by Schooler (1987), who defined the related concept of environmental complexity as being determined by stimulus and demand characteristics. He theorized that greater diversity of stimuli in one's environment could lead to more options/plans of action to consider and decisions to make. When cognitive efforts are reinforced and rewarded, people are motivated to continue engaging in complex environments, which in turn enhances cognitive functioning. Thus, enhancing cognitive functioning further promotes participation in complex environments, illustrating a dynamic facet of EE and its benefits. Enrichment, therefore, reflects environmental complexity (e.g., opportunity to participate in different sports, clubs or social networks, and to engage in intellectually demanding activities), one's inclination to participate in the environment, and the frequency of participation.
Given the limitations in defining, manipulating and controlling EE in human studies, animal studies have arguably provided the most compelling evidence for the causal effects of EE.
Benefits of Environmental Enrichment
Environmental enrichment in healthy animals
In 1947, Hebb examined if rats exposed to EE would improve behaviorally on problem-solving tasks, compared to a control group (Hebb, 1947). EE rats were free to roam his home while control rats were housed in standard laboratory cages. Hebb found performance was superior in the EE group. Since then, more systematically controlled studies have had similar findings.
Exposure to EE has been associated with increases in cognitive functioning, specifically improvements in response selectivity, learning ability, spatial and problem solving skills, memory, and processing speed (Mohammed et al., 1990; Rosenzweig and Bennett, 1996; Nilsson et al., 1999; Van Praag et al., 2000; Kobayashi et al., 2002; Milgram, 2003; Valero et al., 2011; Leger et al., 2012; Speisman et al., 2012; Yang et al., 2013). Reductions in boredom (Meagher and Mason, 2012) and frustration (Latham and Mason, 2010) have been demonstrated as well. The benefits of EE are also observable at cellular and molecular levels. There is evidence of increased neurogenesis, synaptogenesis and dendritic spine density in parts of the brain associated with memory and learning (i.e., hippocampus, dentate gyrus and cerebellar Purkinje cells) in response to EE (Kolb and Whishaw, 1998; Johansson, 2000, 2002; Van Praag et al., 2000; Churchill et al., 2002; Kempermann et al., 2002; Valero et al., 2011; Eckert and Abraham, 2012; Jung and Herms, 2012; Leger et al., 2012; Speisman et al., 2012; Fares et al., 2013; Yang et al., 2013). Increases in brain weight and cortical thickness have also been demonstrated, as have increases in the amount of nerve growth factor, brain derived neurotropic factor, myelination, acetylcholinesterase activity, neurotransmitters, glial proliferation, blood vessels (number and size), and protein synthesis (Rosenzweig, 1966; West and Greenough, 1972; Bennett et al., 1974; Mohammed et al., 1990; Rosenzweig and Bennett, 1996; Kolb and Whishaw, 1998; Van Praag et al., 2000; Diamond, 2001; Churchill et al., 2002; Pietropaolo et al., 2004; Will et al., 2004; Bennett et al., 2006; Hoffman et al., 2008; Gabriel et al., 2009a,b; Lores-Arnaiz et al., 2010; Qiu et al., 2011, 2012; Williamson et al., 2012; Fares et al., 2013; Vazquez-Sanroman et al., 2013; Yang et al., 2013).
In examining properties of EE that produce beneficial effects, factors such as intensity and duration emerge as critical for reaping the most benefits. Bennett et al. (2006) examined the effects of long-term continuous EE on memory performance in aged mice. Mice received a 10-week treatment of either 5 min of daily handling housed in impoverished environments (i.e., clear plastic shoe boxes), 3 h of daily exposure to a basic EE (i.e., small bin with fresh bedding, a running wheel, a plastic rodent dwelling, a plastic tube for climbing, a few toys), or continuous complex EE (i.e., larger bin to allow for more mice to be housed together, and for larger and more complex objects). Continuously enriched older mice performed significantly better than other groups of aged mice in spatial memory tasks, and were indistinguishable from younger control mice in their performance.
Amaral et al. (2008) examined durations of EE in mice and influences on behavioral changes (open field habituation and locomotion). They compared mice exposed to 1, 4, and 8 weeks of EE. While mice exposed to 4 and 8 weeks showed behavioral effects, the 1-week group did not. Furthermore, mice in the 4-week exposure group demonstrated effects lasting 2 months post-EE, but only mice in the 8-week EE group demonstrated effects lasting up to 6 months. The authors concluded that (1) a minimum EE period is necessary to induce beneficial behavioral effects, (2) the effect of EE can persist at least partially for many months after its cessation, and (3) the degree of persistence is greater in animals exposed to longer durations of EE. Relevant to the discharge environment of humans and the importance of ongoing therapy/stimulation, these findings showed that the benefits of EE are lost when animals are removed from enriched environments.
Environmental enrichment in healthy humans
Scarmeas and Stern (2003) undertook a review of the relationship between lifestyle and cognitive reserve, which they defined as the degree to which the brain can create and use networks or cognitive paradigms that are more efficient or flexible, and thus less susceptible to disruption. They asked whether exercising the brain had the same healthy effects as exercising the body. They found that greater participation in intellectual and social leisure activities was associated with less cognitive decline in healthy older adults and a lower incidence of dementia. These important “use it or lose it” findings support the need for EE in the sub-acute and chronic stages of TBI to avert decline. The authors proposed that leisure activities and an active lifestyle might buffer against cognitive decline by: (1) increasing synaptic density, which results in more efficient cognitive functioning of unaffected neurons; (2) more efficient use of the same brain networks; and (3) more efficient use of alternative brain networks. They also found that although it is a very active area of research, our understanding of the specific active ingredients that buffer against cognitive decline has not been fully elucidated.
In addition to studies examining how mentally active lifestyles are associated with cognitive benefits (Gribbin et al., 1980; Pushkar et al., 1997; Wang et al., 2002; Wilson et al., 2002, 2003; Crowe et al., 2003; Verghese et al., 2003; Newson and Kemps, 2005; Fujiwara et al., 2009), studies have also illustrated the benefits of maintaining physically active (Clarkson-Smith and Hartley, 1989; Schuit et al., 2001; Pignatti et al., 2002; Voss et al., 2011; Xu et al., 2011) and socially active lifestyles (Bassuk et al., 1999; Fratiglioni et al., 2000; Mahoney et al., 2000; Seeman et al., 2001). However, they are correlational in design and leave open the possibility that higher functioning people seek out the continuous exposure.
A number of further studies have shown the benefits of EE for healthy older adults (Huppert, 1991; Christensen and Mackinnon, 1993; Davidson and Bar-Yam, 2006; Sampson et al., 2009; Marioni et al., 2012a,b; Paillard-Borg et al., 2012). Winocur and Moscovitch (1990) compared cognitive functioning in community-dwelling and institutionalized older adults. After controlling for variables such as IQ, age, and health, they found that community-dwelling older adults had higher levels of cognitive functioning. They also identified a subgroup of high-functioning institutionalized older adults who performed similarly to the community-dwelling group. For this subgroup, they postulated that cognitive functioning may have been influenced by adjustment to institutional life, such that more social activity was correlated with better cognitive functioning, as was found in a prior study (Winocur et al., 1987). Winocur and Moscovitch suggested that lower cognitive functioning observed in the institutionalized group might be a result of an under-stimulating environment. This interpretation is also consistent with the position of Schooler and Mulatu (2001), who suggested that even if people have higher levels of education, it is the continued practice in complex activities that maintains their cognitive abilities—speaking directly to the thesis of this paper.
A number of studies have examined the benefits of continuous exposure (Blackerby, 1990; Spivack et al., 1992; Willer et al., 1999; De Weerdt et al., 2000; Shiel et al., 2001; Zhu et al., 2001; Cifu et al., 2003; De Wit et al., 2005), and interventions that incorporate many elements of EE, such as cognitive, social, and physical stimulation (Hayslip et al., 1995; Neely and Backman, 1995; Fasotti et al., 2000; Powell et al., 2002; Vance and Johns, 2002; Gunther et al., 2003; Rath et al., 2003; Noice and Noice, 2004; Van De Winckel et al., 2004; Green et al., 2006; Stine-Morrow et al., 2007; Spikman et al., 2009). These types of interventions can be contrasted with interventions involving manipulations over a discrete period of time that are designed to enhance a specific cognitive domain or skill. The former have broadly led to more generalizable gains, both cognitively and physically.
Brain-injured animals and environmental enrichment
Brain-injured animals show clear-cut benefits from exposure to EE. Studies comparing recovery in brain-injured animals reared in EEs to those reared in standard environments have demonstrated increased neurogenesis, upregulation of neurotrophic factors, increased neuronal survival, increased afferent innervation, as well as reductions in spontaneous apoptosis and infarct size (Van Praag et al., 2000; Dobrossy and Dunnett, 2001, 2004; Passineau et al., 2001; Gobbo and O'Mara, 2004; Will et al., 2004; Pereira et al., 2007; Hoffman et al., 2008; Sozda et al., 2010; Sun et al., 2010; Monaco et al., 2013; Shin et al., 2013). Superior performance on tasks of learning and memory, and spatial reference has also been found (Hamm et al., 1996; Johansson and Ohlsson, 1996; Passineau et al., 2001; Gobbo and O'Mara, 2004; Will et al., 2004; Lippert-Gruener et al., 2007; Pereira et al., 2007; Hoffman et al., 2008; Sozda et al., 2010; Monaco et al., 2013). Hamm et al. (1996) compared cognitive functioning in brain-injured and sham-brain-injured rats housed in EEs to those housed in standard environments. Rats housed in EEs were in social groups and had access to a variety of foods, novel toys, scented objects, and a running wheel. At 15 days post-injury, brain-injured rats exposed to EE performed significantly better than brain-injured rats in standard environments. Interestingly, they also found that brain-injured rats recovering in EE performed just as well as non-brain injured animals.
In an older but seminal study by Johansson and Ohlsson (1996), brain-injured rats recovering in comprehensive EE (i.e., cognitive, social, and physical enrichment) were compared to those recovering in either enriched social environments or enriched exercise environments. Rats in the EE group were placed in one cage with several other rats, and novel toys and objects that promoted exercise, whereas rats in the social-interaction group were caged with other rats without objects or toys, and rats in the exercise group were individually caged with access to a running wheel. The social-interaction group improved more than the exercise group; however, the EE group improved more than either group. More recently, Hoffman et al. (2008) demonstrated the importance of timing and duration of EE, comparing brain-injured rats exposed to continuous EE to those in early and temporary EE (immediately post-injury lasting 1 week), late EE (commencing 1 week post-injury) and no EE. The continuous EE group not only had significantly less hippocampal cell loss, but also performed better on motor and cognitive tests. Interestingly, they found an advantage of continuous and early EE for motor tasks, but an advantage of continuous and delayed EE for cognitive tasks. The benefits of increased EE-exposure in brain-injured rats have since been replicated (De Witt et al., 2011; Matter et al., 2010), and, moreover, shown to last for up to 6 months (Cheng et al., 2012).
These studies provide evidence that EE help animals to recover functions to levels that make them indistinguishable from healthy controls, and that continual EE is necessary to maintain both neural and cognitive improvements. The benefits of EE are substantial, but not permanent, thus highlighting the importance of ongoing stimulation. These findings are particularly relevant to the post-discharge environment, and the factors may contribute to decline.
Brain-injured humans and environmental enrichment
EE interventions for brain-injured humans can be grouped into two broad types: those that provide increased hours and duration of therapy (without prescription of specific content of therapies) and those that address discrete impairments and focus on improvement of a specific skill. Note that in clinical practice, the latter might be referred to as “training” rather than EE. However, we include them here as they entail increased cognitive stimulation.
While EE intervention designs have not been as comprehensive in human TBI studies, the effects of some of the classical properties of EE, such as novelty, intensity, and duration, have been examined. However, much like in healthy individuals, interventions for TBI survivors aimed at training specific skills have often resulted in poor generalization to everyday performance (Ruff et al., 1991; Cicerone et al., 2000, 2005; Sohlberg et al., 2000; Park and Ingles, 2001; Boman et al., 2004; Kennedy et al., 2008). In contrast to skills training, Cicerone et al. (2000) have suggested that cognitive rehabilitation should not focus exclusively on remediation of impairments, but should reduce disability and help restore social role functioning. In an earlier framework, Toglia (1991) proposed a “multi-context” treatment approach to enhance generalizability that contained hallmarks of what later became EE: namely, varied stimulation and environments that are meaningful to the person that thereby enhance engagement. Interventions that have incorporated such components have demonstrated better generalizability, as well as improvements in community integration (Fasotti et al., 2000; Powell et al., 2002; Vance and Johns, 2002; Rath et al., 2003; Van De Winckel et al., 2004; Toglia et al., 2010; Leon-Carrion et al., 2012).
The second broad category of interventions that are more intensive have also resulted in significant functional gains (Willer et al., 1999; Cicerone et al., 2004). Cicerone et al. (2004) compared the effectiveness of an intensive cognitive rehabilitation program to standard neurorehabilitation for persons with TBI. Participants in the intensive program demonstrated greater improvement in cognitive function (composite score based on attention, speed of processing, memory and executive function test scores) as well as greater improvement in community integration. Increasing hours of therapy has also led to greater functional and cognitive gains and faster recoveries (Blackerby, 1990; Spivack et al., 1992; De Weerdt et al., 2000; Shiel et al., 2001; Zhu et al., 2001; Slade et al., 2002; Cifu et al., 2003; De Wit et al., 2005; Zhu et al., 2007). Turner-Stokes et al.'s (2005) review of multi-disciplinary rehabilitation for brain injury recommended that “intensive intervention appears to lead to earlier gains.” Therefore, they concluded that “Patients discharged from in-patient rehabilitation should have access to out-patient or community-based services appropriate to their needs.” Cernich et al. (2010) provided a similar recommendation in their review of cognitive rehabilitation following TBI. Recently, Hayden et al. (2013) provided support for this recommendation, demonstrating functional gains for TBI survivors receiving rehabilitation services in the post-acute phase after brain injury.
Absence or Reduction of Environmental Enrichment
If exposure to EE is beneficial at both behavioral and neural levels, it logically follows that the absence or reduction of EE would lead to poorer behavioral and neural health. Experience-dependent plasticity refers to changes in the brain that result from behavioral experiences. While stimulation can enhance or maintain neural pathways, the absence of stimulation can depress or weaken them with associated loss of a function that was previously acquired or mastered (Rubinov et al., 2009; Warraich and Kleim, 2010). Overall, there appears to be a growing consensus that maintaining and increasing neuroplasticity of the brain depends on continual and intensive cognitive, physical, and social stimulation (Kleim and Jones, 2008). TBI survivors transitioning from a rehabilitation setting to a home setting are therefore vulnerable to reversal of those gains made in the early and intensive therapeutic setting.
This assertion is supported by the flipside of EE experiments: animals that are exposed to less stimulating or impoverished environments do not fare as well. As described above, mice with less EE exposure have lower performances on spatial memory tasks, as compared to continuously enriched mice (Bennett et al., 2006), and rats that received less EE exposure maintain benefits for a shorter period of time (Amaral et al., 2008). Similarly, brain injured rats recovering in impoverished environments show poorer recovery of cognitive and motor functioning (Hamm et al., 1996; Hoffman et al., 2008; Matter et al., 2010; De Witt et al., 2011) and do not maintain benefits gained from short-term EE (Matter et al., 2010; De Witt et al., 2011; Cheng et al., 2012).
Furthermore, there is evidence that effects of environmental conditions are reversible (Bernstein, 1972; Winocur, 1998). Winocur (1998) demonstrated that when he transferred rats from impoverished to enriched environments, they improved significantly, whereas rats transferred from enriched and standard environments to impoverished ones declined. Similarly, more sedentary lifestyles have been linked to disease and disability, and overall poorer health (Huppert, 1991; Pushkar et al., 1997; Mackinnor et al., 2003; Salthouse, 2006; Shors et al., 2012).
Environmental Enrichment, Post-Acute Decline and Sub-Acute Atrophy
As therapies diminish in frequency over time (e.g., when patients move from in-patient neurorehabilitation to the home or a chronic-care facility), the amount of EE may also lessen. In the context of chronic TBI, Turner and Green (2008) examined the principles of negative neuroplasticity (maladaptive morphological changes to the brain in response to environmental factors), as described by Mahncke et al. (2006a,b), in the context of normal aging. These are: (1) reduced schedules of activity, (2) noisy processing in peripheral and central sensory systems, (3) alterations in neuromodulary control, and (4) negative learning. They suggest that a similar downward spiral of negative neuroplastic change may undermine long-term outcome in TBI due to similar environmental changes (as well as physiological changes) that result in withdrawal from communities and social networks, resulting in reduced stimulation. Such changes are withdrawal from the workforce (or school), physical losses that preclude travel, and perceptual and cognitive decrements that compromise communication.
As previously noted, in the case where neural pathways are under-stimulated, it is possible to lose the function that was acquired or mastered (Rubinov et al., 2009; Warraich and Kleim, 2010). Findings of increased neural representation after training (Cirillo et al., 2011; Cardinali et al., 2012) and different brain activation when comparing exposure vs. deprivation of stimulation (Klinge et al., 2012) provide evidence for experience-dependent neuroplasticity. This raises the question whether under-stimulation of neural pathways, due to disuse, may be responsible for post-acute neural degeneration seen in TBI survivors. If so, EE exposure may play a role in minimizing, or averting, this problem.
With respect to neural degeneration, mechanisms of apoptosis have been modeled in animals to understand the cascade of events that takes place after TBI (Raghupathi et al., 2000; Keane et al., 2001; Raghupathi, 2004). Coulson et al. (2004) provided support for their hypothesis that synaptic input may be the key to regulating neuronal survival and death pathways following neurotrauma. Synaptic activity regulates expression levels of neurotrophins and facilitates growth factor signaling. There is evidence that EE exposure enhances nerve growth factor and brain-derived neurotropic factor in animals (Clarkson-Smith and Hartley, 1989; Blackerby, 1990; Bassuk et al., 1999; De Weerdt et al., 2000; Mahoney et al., 2000; Wang et al., 2002; Wilson et al., 2002; Cifu et al., 2003; Johansson, 2003; Rath et al., 2003; Spikman et al., 2009). As well, animal studies have demonstrated that EE can enhance neurogenesis and attenuate apoptosis in the injured brain (Van Praag et al., 2000; Dobrossy and Dunnett, 2001, 2004; Passineau et al., 2001; Gobbo and O'Mara, 2004; Will et al., 2004; Pereira et al., 2007; Hoffman et al., 2008). Lastly, neurons deprived of synaptic input can be rescued from death by an increased supply of growth factors (Coulson et al., 2004). Taken together, these findings offer the possibility that EE can help to prevent neuronal death.
The relation between changes in brain structure and neuropsychological performance has also been recently explored (Farbota et al., 2012), providing further evidence that as we see declines at a neural levels, we also see parallel declines in cognitive functioning. Recent work from our laboratory has demonstrated that in TBI survivors, more engagement in EE, defined as participation in activities involving cognitive, physical, and social demands, is correlated with less hippocampal volume loss in the post-acute stages (Miller and Green, in press). While these findings are correlational, they provide preliminary evidence of the positive impact that an enriched environment can have in TBI survivors.
The research reviewed within this section of the scoping review supports that EE improves outcomes and that a dearth of EE results in poorer outcomes. Studies demonstrate continued and repeated EE exposure (Blackerby, 1990; Spivack et al., 1992; De Weerdt et al., 2000; Schooler and Mulatu, 2001; Shiel et al., 2001; Zhu et al., 2001, 2007; Cifu et al., 2003; De Wit et al., 2005; Amaral et al., 2008), which provides intensive cognitive, social, and physical stimulation is necessary to induce beneficial effects (Willer et al., 1999; Cicerone et al., 2004; Bennett et al., 2006). Furthermore, if this exposure is reduced or removed, the benefits will not be maintained and may diminish (Bernstein, 1972; Winocur, 1998; Cheng et al., 2012). Synaptic input may be necessary to maintain and strengthen neural pathways and connections, particularly those at risk after brain injury (Coulson et al., 2004; Turner and Green, 2008). Moreover, this research supports our contention that for the subset of people with moderate-severe TBI that show post-acute cognitive decline and neural deterioration in the post-acute phase, there may be some environmental variables that contribute to their negative outcomes.
Post-Discharge Experiences and Environmental Enrichment
In the first section, we discussed findings revealing that the brain atrophies and that cognitive abilities decline in the post-acute stages of brain injury. In the second section, we discussed findings that demonstrate that EE can alter the brain (both healthy and damaged), and perhaps most importantly that it has the potential to minimize atrophy after brain injury. Moreover, a mechanism of disuse-mediated atrophy has been proposed (i.e., synaptic input and neuronal survival) (Coulson et al., 2004).
A critical question, then, is to what extent do post-discharge factors reflect EE? This is important because it is possible that the post-discharge environment may be un-enriched, and this would in theory exacerbate/lead to post-acute cognitive and neural declines. Thus, it is of value to explore the factors that influence the environments in which people with brain injuries return with respect to level of enrichment, so that factors can be adjusted to provide optimal levels of EE. In the current section, we will discuss how post-discharge variables are conceptually related to EE and we will also discuss findings that show how these examples of EE (or lack thereof) correspond to human TBI outcomes.
What is Environmental Enrichment in the Post-Discharge Environment?
Continued participation in environments that are challenging, yet at levels that allow people to participate and remain motivated to do so, is the crux of EE. In the section “Environmental Enrichment in Healthy Humans” we summarized findings demonstrating that people who (1) attend more social events, (2) are more physically active, and (3) engage in activities with continuous novelty (e.g., learning a new language, playing bridge) are mentally healthier. While demographic variables (i.e., age, pre-morbid intelligence, level of education) influence outcome after brain injury (Ruff et al., 1991; Green et al., 2008), environmental variables (e.g., access to insurance coverage) also play a vital role in recovery, as will be discussed. We contend that these variables map onto EE in that they provide cognitive, social, and physical stimulation through access to therapy, community resources, fostering return to meaningful occupations, and encouraging engagement in their environments.
Post-Discharge Environmental Factors that Influence Mental and Physical Stimulation
A number of factors influence the degree of cognitive, social, and physical stimulation TBI survivors experience either directly (e.g., presence of community resources such as a support groups or fitness centers) or indirectly (e.g., by influencing access to therapy). These include insurance, financial support, social support, and community resources.
As recommended by Turner-Stokes et al. (2005), after discharge from in-patient rehabilitation, TBI survivors should have access to out-patient or community-based services appropriate to their needs to facilitate the recovery process. Till et al. (2008) demonstrated that post-acute cognitive decline was negatively correlated with hours of therapy, which was associated with insurance coverage. It has been widely demonstrated that individuals who have insurance coverage receive more access to therapy after discharge than those who do not (Pressman, 2007; Heffernan et al., 2011; Chen et al., 2012; Lundqvist and Samuelsson, 2012). Those that are insured have better access to post-acute medical care, which includes physical, occupational, and cognitive therapies, as well as home health and nursing needs, modification of living environment, vocational training, and job retraining (Shafi et al., 2007). In line with these findings, Shafi et al. (2007) found that ethnic minorities were less likely to be insured and more likely to have moderate to severe disability at follow-up.
Diminished financial resources may reduce opportunities for accessing EEs. For example, Sander et al. (2009) reported that after controlling for age, education, injury severity, and race/ethnicity, income made a significant contribution to the variance in social integration, and in a more recent study, Sander et al. (2011) reported that TBI survivors perceived financial issues (e.g., home ownership, insufficient funds), as contributing to decreased participation in the community. Similar to Shafi et al. (2007) discussed previously, Staudenmayer et al. (2007) examined ethnic disparities in long-term functional outcomes after TBI. They concluded that less social and financial resources were likely implicated as an explanation. Additionally, in a study examining perceived needs after brain injury, many TBI survivors reported still requiring help managing money 1 year post-injury (Corrigan et al., 2004), which may compound the challenges of diminished finances after TBI. Increased financial burden can mean less access to expensive resources (e.g., therapy, participating in social activities, transportation).
Logically, a supportive social network influences participation in therapy (Sander et al., 2009; Turner et al., 2009b; Keightley et al., 2011), for example by providing transportation, accompaniment to therapies, supervision for recommended regimens for which safety is of concern (e.g., a gym program). Turner et al. (2007) found that those who had more supportive and closer networks at home had better transitions from the hospital setting to the home environment, as this was related to more access to social activities and transportation outside the home.
Post-Discharge Factors that Influence Engagement
Without private insurance, and with less social and financial resources, TBI survivors may be less able to engage in stimulating activities to facilitate recovery. However, as we will discuss, there are also factors that are purported to influence the level of engagement in the post-discharge environment, such as the amount of family support and patient education provided, as well as the structure and routine present in their home environment.
In Freeman's (1997) review of community-based rehabilitation for TBI survivors, he suggested that the level of care in the home setting, with a strong support network, can play a major role in successful rehabilitation. The family environment may provide a wide variety of activities that are inclusive, stimulating, and meaningful to the individual. Importantly, these are all properties found to be critical for experience-dependent plasticity (Kleim and Jones, 2008) and generalization of relearnt skills (Toglia, 1991). In a case study by McCormack and Liddiard (2009), a TBI survivor receiving community rehabilitation was followed for 3 years. The authors concluded that the supportive and effective care system in his family facilitated his recovery following severe TBI. His progress was attributed to active familial involvement that fostered goal setting and carry-over between sessions. Furthermore, learning took place in his home environment, increasing his ability to generalize skills. The authors concluded that these findings “add further weight … to the thesis that, with the right support, there is no place like home.”
Post-discharge information and education
Several studies have indicated that the most often-reported barrier is adequate preparation prior to discharge (Rotondi et al., 2007; Sander et al., 2009; Keightley et al., 2011; Sander et al., 2011; Turner et al., 2011b). Many TBI survivors and their caregivers report that they were not given enough information regarding brain injuries (e.g., behavioral sequelae), how to access community resources (e.g., rehabilitation, emotional support, respite services), or how to access or implement home therapies (Rotondi et al., 2007; Sander et al., 2009, 2011; Keightley et al., 2011; Turner et al., 2011b). Corrigan et al. (2004) reported that TBI survivors who initially reported requiring help participating in recreation still did not have their perceived needs (viewed as a measure of quality of life) met 1 year post-injury. Likewise, Sander et al. (2011) reported that for TBI survivors, feeling more integrated into the community was related to greater participation in their environments. Without receiving appropriate assistance and information/educational resources to facilitate the post-discharge process, successful community integration will continue to be a challenge.
Routine and schedules
Many studies document that TBI survivors report feeling ill-prepared for the transition from hospital to home (Rusconi and Turner-Stokes, 2003). Several qualitative studies have explored the transition home, and the barriers or difficulties that TBI survivors experience (Rittman et al., 2004; Turner et al., 2007, 2009b, 2011a). Rittman et al. (2004) found that, post-discharge, commonly reported problems were increased idle time, boredom, and little-to-no engagement in meaningful activities. Survivors often reported, “… finding something new every day that they couldn't do …” What appears to influence the above is routine, or lack thereof. When routines were not re-established, survivors and caregivers experienced more chaos and disruption in the transition home. Turner et al. (2011a) examined perspectives concerning recovery and adjustment during the transition phase from hospital to home, and found that the process of adjusting emotionally to life at home posed significant challenges for many brain-injury survivors during this phase.
Turner et al.'s (2007) qualitative study of brain injury survivors' experiences with the transition from hospital to home made similar observations in terms of difficulty re-engaging in meaningful activities and occupations. However, those who were able to create a routine or structure once at home had better transitions. Essentially, this facilitated participation in their environments by providing organization in their daily schedules, which had been previously often provided for them in the rehabilitation setting.
Turner et al. (2009b) extended their work by examining re-engagement in meaningful occupations during the transition from hospital to home in brain-injury survivors. Many survivors reported that recovery sped up at home, and caregivers frequently attributed this to key elements such as creating routines and schedules, which enabled participation in meaningful activities. However, for those that did not have such experiences, not being able to participate in desired occupations led to stress and frustration. Turner et al. (2009b) found that “for some participants, the impact of this change in environment, coupled with the reality of not being able to engage in their desired occupations, led to a relatively unproductive lifestyle in which the main activity of their day involved little more than watching television or playing computer games.” In Hoogerdijk et al.'s (2011) study of identity after TBI, the authors suggested that the adaptation process is a necessary struggle to gain new identity and it is facilitated by engagement in familiar occupations in familiar environments. In line with this finding, Nalder et al. (2012a,b) reported that TBI survivors that were able to reengage in meaningful occupations had greater perceived success of the transition from hospital to home. Reengagement in meaningful occupations was often experienced by individuals with higher levels of global functioning and psychosocial integration.
Summary of Post-Discharge Experiences and Environmental Enrichmment
The research presented in this section of the scoping review provides evidence that there are variables in the post-discharge environment that influence the amount stimulation and other variables that influence the level of engagement in EE. Largely, evidence suggests that those with better access and resources that map onto EE (i.e., insurance coverage, financial and social support) and those that are in environments that encourage participation (i.e., strong familial support, access to educational resources, more structure) have better functional outcomes.
The most direct (preliminary) evidence of the benefits of EE in the post-acute stages of recovery comes from work by Miller and Green (in press), where more engagement in enriched environments, defined as participation in activities involving cognitive, physical, and social demands, was correlated with less hippocampal volume loss. Further direct evidence of comes from Till et al.'s (2008) finding of a relationship between hours of therapy at 5 months post-injury and degree of cognitive decline, which the authors speculated was ay be due in part to lack of access to complex and enriched environments.
As we have discussed, a large corpus of studies have demonstrated the benefits of EE in healthy and brain-injured animals. There is evidence of neuroplastic change after EE exposure, with beneficial changes to neuroanatomy and neurochemistry (Kramer et al., 2004). These studies further support Coulson et al.'s (2004) hypothesis that synaptic input is critical to offset atrophy, in that increased input regulates neuronal survival, and prevents or attenuates apoptosis. This is of particular relevance to the neural decline observed in the post-acute stages after TBI. Turner and Green's (2008) re-formulation of the work of Mahncke et al. (2006a,b) in healthy older adults—that negative neuroplasticity (i.e., reduced activity schedules) may undermine long-term outcome in TBI—is also in accord with the hypothesis that EE may indeed play an important role in recovery.
In humans, engaging in cognitively, socially, and physically stimulating activities is related to better cognitive functioning in younger and older adults. Studies have also demonstrated that therapies for TBI survivors delivering continuous and intensified interventions result in better recovery at all levels of analysis, as well as better functional gains. These therapies have critical elements of EE, such as novelty, intensity, and prolonged periods of engagement in meaningful activities.
According to Schooler's (1987) model of environmental complexity, when cognitive efforts are reinforced and rewarded, people are motivated to continue engaging in complex environments, which in turn enhances cognitive functioning. However, TBI survivors may show reduced participation in complex environments, due to cognitive impairment, lack of psychological support/facilitation, or lack of resources, and thereby fail to obtain the emotional and neuromodulatory rewards for engaging. These conditions create a downward spiral of negative neuroplasticity (Turner and Green, 2008). Animal literature examining EE has provided critical evidence for the benefits of maintaining high levels of enrichment and stimulation post-discharge (Hamm et al., 1996; Bennett et al., 2006; Amaral et al., 2008; Hoffman et al., 2008). Findings that support the “Use it or Lose it” theory also suggest that continued engagement in mentally effortful activities is necessary to maintain cognitive functioning (Huppert, 1991; Pushkar et al., 1997; Mackinnor et al., 2003; Salthouse, 2006; Shors et al., 2012), and that an individual's environment (e.g., stressful or under-stimulating) can influence level of activity (Winocur and Moscovitch, 1990; Winocur, 1998). While TBI survivors may benefit from capacity-enhancing and intensified therapies provided in hospital, animal models have demonstrated that the effects of this enrichment will only continue to persist with longer exposure periods (Amaral et al., 2008). Furthermore, transitioning from a more stimulating/complex environment to a lesser one may result in a loss of benefits (Winocur, 1998).
The aim of this paper was to examine the question whether EE in the sub-acute and chronic stages of injury can influence progressive neural and cognitive decline. The aim of the first section was to establish the role of EE in long-term outcomes, and in particular, in offsetting decline; the aim of the second section was to illustrate that in the post-acute stages of injury, a number of factors influence the degree of EE. We have argued that post-discharge environments map onto conventional variables considered to create EE. Access to rehabilitative, social, and community resources, as well as strong support networks, provides essential cognitive, social, and physical stimulation. Moreover, these factors have shown to influence outcomes.
While there is strong evidence to suggest that TBI may be a progressive injury, more research needs to be conducted to further elucidate the role of EE in influencing this decline. It is important to note that the exact active ingredients of current interventions that incorporate multi-context environments and higher intensity therapies are still unclear, and how they compare to therapies that incorporate all elements of EE is still unknown. Furthermore, studies are needed that examine whether there is a correlation between post-acute brain changes and declines in function, as well as the type of environments that TBI survivors return to post-discharge. Turner et al. (2008) recommended that research is needed to explore the transition home after brain injury in order to “(1) Develop a comprehensive theoretical framework of the transition phase; and (2) facilitate both the validation of current intervention strategies and the development of innovative/tailored intervention approaches.”
As reported by caregivers and TBI survivors, creating a routine and structure around daily activities facilitated engagement. Furthermore, activities that are meaningful and at an appropriate level (e.g., tailored to the individuals specific impairments) to facilitate participation are critical. Researchers that have examined the needs of TBI survivors and their caregivers in the post-acute phase have recommended increased education provided by health care institutions would be beneficial to ease the transition from hospital to home (Turner et al., 2007, 2009a, 2011b; Arango-Lasprilla et al., 2011). Based on the results of our scoping review, we suggest that more resources and guidelines on how to create structure and daily routines, as well as information regarding self-administered therapies and activities for the individual and their caregiver, would be beneficial. Further rehabilitation support during the post-acute stages of recovery, such as home assessments or on-going therapy maintenance, would also be optimal. Gan et al. (2010) examined the support needs after brain injury and made several recommendations for support services. They suggested that family systems-based services should be accessible, life-long, individualized and flexible, as well as efficient, and that support system-based services should include proper diagnoses, incorporate a multi-component approach, provide brain-injury-specific services that are responsive to needs with proactive follow-ups, and importantly, provide continuous education. The benefits of social peer-mentoring programs as an intervention to enhance improvements in social integration for TBI survivors has also shown promise in recent studies and is currently being further investigated (Struchen et al., 2011; Hanks et al., 2012).
TBI survivors often fail to return to pre-injury levels of cognitive function, as well as employment and income, and these factors have been shown to be related with life satisfaction, perceived quality of life, depression and social isolation (Christensen et al., 2008; Eriksson et al., 2009; Hawthorne et al., 2009; Resch et al., 2009; Shigaki et al., 2009; Strandberg, 2009; Tsaousides et al., 2009). Assuming that post-acute atrophy contributes to the failure to return to pre-injury levels of cognitive function and thus successful community integration, then the clinical consequences are notable.
While the elements that comprise EE may be different from one person to another, it is evident that engagement in such environments is beneficial at both the cognitive and neural level, and thus it is plausible that EE can offset post-acute deterioration. Providing information and support to ease the transition home, information about the benefits of an enriched environment and guidelines on how to successfully participate in enriched settings, may be key elements in improving recovery. Most importantly, it may be a critical factor to facilitate successful community integration.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: traumatic brain injury, environmental enrichment, post-acute decline, adult, moderate to severe, post-discharge, transition home
Citation: Frasca D, Tomaszczyk J, McFadyen BJ and Green RE (2013) Traumatic brain injury and post-acute decline: what role does environmental enrichment play? A scoping review. Front. Hum. Neurosci. 7:31. doi: 10.3389/fnhum.2013.00031
Received: 01 March 2012; Accepted: 25 January 2013;
Published online: 17 April 2013.
Edited by:Hauke R. Heekeren, Freie Universität Berlin, Germany
Reviewed by:Barbara B. Bendlin, Wisconsin Alzheimer's Disease Research Center, USA
Lisa A. Brenner, University of Colorado Denver, USA
Copyright © 2013 Frasca, Tomaszczyk, McFadyen and Green. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Diana Frasca, Cognitive Neurorehabilitation Sciences Laboratory, Toronto Rehabilitation Institute, 550 University Ave, Room 11-207, Toronto, ON M5G 2A2, Canada. e-mail: email@example.com