Abstract
The ability to walk is critical for functional independence and wellbeing. The pre-frontal cortex (PFC) plays a key role in cognitive control of locomotion, notably under attention-demanding conditions. Factors that influence brain responses to cognitive demands of locomotion, however, are poorly understood. Herein we evaluated the individual and combined effects of gender and perceived stress on stride velocity and PFC Oxygenated Hemoglobin (HbO2) assessed during single and dual-task walking conditions. The experimental paradigm included three tasks: a) Normal-Walk (NW); b) Cognitive Interference (Alpha); c) Walk-While-Talk (WWT). An instrumented walkway was used to assess stride velocity in NW and WWT conditions. Functional Near-Infrared-Spectroscopy (fNIRS) was used to quantify PFC HbO2 levels during NW, Alpha and WWT. Perceived task-related stress was evaluated with a single 11-point scale item. Participants were community residing older adults (age=76.8±6.7ys; %female=56). Results revealed that higher perceived stress was associated with greater decline in stride velocity from single to dual-task conditions among men. Three-way interactions revealed that gender moderated the effect of perceived stress on changes in HbO2 levels comparing WWT to NW and Alpha. Attenuation in the increase in HbO2 levels, in high compared to low perceived stress levels, from the two single task conditions to WWT was observed only in men.
Conclusion
Older men maybe more vulnerable to the effect of perceived stress on the change in PFC oxygenation levels across walking conditions that vary in terms of cognitive demands. These findings confer important implications for assessment and treatment of individuals at risk of mobility impairments.
Keywords: fNIRS, Executive Functions, Prefrontal Cortex, Stress, Locomotion
Introduction
Locomotion is critical for functional independence and sense of wellbeing. Poor walking has been linked to increased risk of adverse outcomes including but not limited to dementia (Verghese et al., 2002; Verghese et al., 2014) and mortality (Studenski et al., 2011). Locomotion and cognition, specifically the executive functions and their underlying brain substrates, are interrelated (Holtzer et al., 2014c). Moreover, poor performance on a well-established attention demanding dual-task walking paradigm predicted incident disability and mortality even after adjustments for single task walking speed (Verghese et al., 2012). A recent review of neuroimaging studies of mobility asserted, however, that little is known about the functional brain correlates of walking because locomotion cannot be assessed in real time with conventional neuroimaging methods (Holtzer et al., 2014a). Using functional Near Infrared Spectroscopy (fNIRS), a relatively limited number of studies overcame this limitation revealing that the frontal cortex and related circuits were involved in cognitive control of walking, running, and balance in healthy individuals, (Miyai et al., 2001; Mihara et al., 2007; Suzuki et al., 2008) older adults (Harada et al., 2008), and stroke patients (Mihara et al., 2007). Recently, fNIRS was applied to a large cohort of older adults documenting the pivotal role of the prefrontal cortex (PFC) in cognitive control of locomotion, notably when attention demands were increased under dual-task walking conditions (Holtzer et al., 2015).
Research concerning biological and psychological factors that influence the functional involvement of the brain in walking, however, is scarce. Such knowledge is essential to translating group level relations between brain and locomotion to clinical risk assessment and intervention procedures for individuals at risk of developing mobility impairments and disability. Hence, the current study was designed to determine the individual and combined effects of perceived stress and gender on brain oxygenation patterns during active locomotion assessed under single and dual-task conditions.
Perceived Stress Executive Functions Locomotion and the PFC
Stress is defined as a psychological reaction to demands that are perceived by the individual as threatening or too difficult to fulfill. Perceived stress represents appraisals of person-environment interactions and has been associated with adverse physical health outcomes in older adults (Rueggeberg et al., 2012). Higher levels of perceived stress correlated with worse performance on tasks of selective and divided attention (Vedhara et al., 2000) and similarly, among young adults, increased environmental stress was associated with worse performance on a divided attention task (Petrac et al., 2009). Furthermore, the detrimental effect of stress on working memory was stronger at high workload levels, suggesting that more demanding tasks may serve as an additional stressor in experimental settings (Oei et al., 2006; Robinson et al., 2008). A robust body of empirical evidence from both animal and human studies suggests that the brain is particularly sensitive to stress during old age (Lupien et al., 2009). Stress triggers activation of the hypothalamic-pituitary-adrenal (HPA) axis, a coordinated physiological response involving autonomic, neuroendocrine, metabolic, and immune system components. While the impact of age on HPA-axis functioning is still not well understood, some studies have reported that older adults show larger cortisol release in response to stress compared to adults, adolescents, and children (Gotthardt et al., 1995; Kudielka et al., 2004). A review article provided converging evidence that stress has detrimental effects on the architecture and functionality of the PFC (Arnsten, 2009). Moreover, the PFC may also have an important role in coordinating physiologic and behavioral responses to stressful situations (McKlveen et al., 2015). Indeed, a recent study (Gartner et al., 2014) demonstrated that working memory-related frontal theta activity decreased under stress, corresponding to behavioral performance decrements during more difficult task conditions. In addition, functional neuroimaging studies have found stress-related deactivation in the dorsal and ventral prefrontal cortex and orbitofrontal cortices (Dedovic et al., 2009b), though the directionality of activation patterns varied as a function of brain region and gender (for review see (Dedovic et al., 2009a). The PFC, as described earlier, subserves higher order cognitive abilities that include dual-task walking performance (Holtzer, Mahoney, et al., 2015; Holtzer, Verghese, et al., 2015). However, the effect of perceived stress on locomotion and dual-task walking has not been reported to our knowledge. It is noteworthy, however, that a combination of personality traits that included high neuroticism and low extraversion was associated with greater dual-task walking costs (LeMonda et al., 2015). Hence, extrapolating from the extant literature concerning the negative effect of stress on executive functions and PFC functionality would suggest that higher levels of perceived stress may be associated with worse walking and reduced PFC oxygenation under dual-task conditions. Additionally, the influence of gender on this relationship should be carefully considered as responses to both perceived and physiological stressors may differ between men and women (Geary & Flinn, 2002).
Gender Executive Functions Locomotion and the PFC
Gender differences exist in quantitative gait parameters when assessed under normal walk (Oh-Park et al., 2010) and dual-task walking conditions (MacAulay et al., 2014) with men demonstrating greater gait variability than women (Hollman et al., 2011) suggesting they may experience more difficulty in negotiating competing cognitive demands. Furthermore, gender also influences performance (Beeri et al., 2006; Munro et al., 2012; Castonguay et al., 2015) and decline (McCarrey et al., 2016) on neuropsychological tests, an effect that maybe attributed to functional and/or structural differences in brain regions that are involved in cognitively demanding tasks. Indeed, men experience more gray matter degeneration compared to women in the PFC (Curiati et al., 2009) especially in the dorsolateral region (Raz, 1993). In this context it is noteworthy that overall PFC oxygenated hemoglobin (HbO2) levels during walking were higher in men than women (Holtzer et al., 2015; Holtzer et al., 2016a).
Current Study
Using an instrumented walkway and fNIRS, the current study was designed to evaluate the individual and combined effects of gender and perceived stress on the change in stride velocity and PFC HbO2 levels from Normal-Walk (NW) to Walk-While-Talk (WWT) conditions in a large cohort of community residing non-demented older adults. Perceived task-related stress was evaluated with a single 11-point scale item. Based on the existing literature concerning the negative effect of stress on executive functions and PFC functionality we hypothesized that higher task-related perceived stress would be associated with an attenuated increase in HbO2 levels and with a greater decline in stride velocity from single to dual-task walking. Whereas females demonstrated overall lower oxygenation levels during walking compared to males the effect of gender on walking-task-related changes in oxygenation levels has not been reported. Furthermore, while some evidence suggests that the PFC maybe more vulnerable to the effect of aging in men associations between performance on tasks of executive functions and gender have been mixed. Hence, we examined whether gender moderated the effect of task on stride velocity and PFC oxygenation levels. Finally, we designed this investigation to, a priori, determine (via 3-way interactions of gender × perceived stress × task) whether gender moderated the effect of perceived stress on study outcomes.
Materials and Methods
Participants
Participants were community residing older adults (age≥65yrs) enrolled in “Central Control of Mobility in Aging” (CCMA), a cohort study designed to determine cognitive and brain predictors of mobility. CCMA procedures were described in previous publications (Holtzer et al., 2014b). Potential participants were identified from population lists of lower Westchester County, NY. Structured telephone interviews were administered to obtain verbal assent and determine initial eligibility including screens for dementia (Lipton et al., 2003; Galvin et al., 2006) and assessments of medical history and currently physical function. Individuals who passed the telephone interview were invited to two annual in-person study visits during which trained research assistants administered comprehensive neuropsychological, psychological, and mobility assessments. The fNIRS dual-task walking paradigm was administered during the first day of testing. The study clinician conducted structured neurological examinations. Dementia diagnoses (Association, 2000) were determined via consensus diagnostic case conferences (Holtzer et al., 2008). Exclusion criteria were: current or history of severe neurological or psychiatric disorders, inability to ambulate independently, significant loss of vision and/or hearing that threatened the validity of the testing procedures, and recent or anticipated medical procedures that may affect ambulation. The study is in compliance with the Code of Ethics of the World Medical Association (Declaration of Helsinki) and the standards established by the Review Board of Albert Einstein College of Medicine. Written informed consents were obtained in-person and approved by the institutional Review Board.
Test Procedures and Equipment
Quantitative Gait Assessment
Zenometrics. A 4 × 14 foot Zeno electronic walkway using ProtoKinetics Movement Analysis Software (PKMAS) was utilized to assess quantitative measures of gait (Zenometrics, LLC; Peekskill, NY). Gait measures were based on the location and mathematical parameters between footfalls on the instrumented walkway (i.e., geometric arrangement, spatial and temporal relationship, relative pressures). Split-half intra-class correlations (ICC) for gait velocity in NW and WWT were greater than 0.95 revealing excellent internal consistency (Holtzer et al., 2015).
Walking Paradigm
There were two single task conditions: 1) Normal Pace Walk (NW) and 2) Cognitive (Alpha). In NW participants were asked to walk around the electronic walkway at their “normal pace” for three consecutive loops. In Alpha, participants were required to stand still while reciting alternate letters of the alphabet starting with the letter B for 30-sec out loud. In Walk-While-Talk (WWT) participants were instructed to walk around the walkway for three consecutive loops at their normal pace while reciting alternate letters of the alphabet starting with the letter ‘B’. Participants were instructed to pay equal attention to both tasks (Holtzer et al., 2015; Holtzer et al., 2016a; Holtzer et al., 2016b). WWT is a more ecologically valid mobility assessment that approximates real world tasks. Specifically, poor WWT performance was associated with increased risk of incident falls (Ayers et al., 2014) as well as frailty, disability and mortality in older adults (Verghese et al., 2012). The three test conditions were presented in a counterbalanced order using a Latin-square design.
fNIRS system
Validation studies with this fNIRS system have been reported (Izzetoglu, 2004a; Izzetoglu et al., 2004b; Izzetoglu et al., 2005a; Platek et al., 2005b). fNIRS measures changes in cortical oxygenated hemoglobin (HbO2) levels using light–tissue interaction properties of light within the near infrared range. fNIRS has been validated against traditional neuroimaging methods and is better able to handle motion artifacts (Izzetoglu et al., 2005a; Cooper et al., 2012). Changes in hemodynamic activity in the PFC were assessed using fNIRS Imager 1000 (fNIRS Devices, LLC, Potomac, MD). The system collects data at a sampling rate of 2Hz. The fNIRS sensor consists of 4 LED light sources and 10 photodetectors, which cover the forehead using 16 voxels, with a source-detector separation of 2.5 cm. The light sources on the sensor (Epitex Inc. type L4X730/4X805/4X850-40Q96-I) contain three built-in LEDs having peak wavelengths at 730, 805, and 850 nm, with an overall outer diameter of 9.2 ± 0.2 mm. The photodetectors (Bur Brown, type OPT101) are monolithic photodiodes with a single supply transimpedance amplifier. We implemented a standard sensor placement procedure (Ayaz et al., 2006). Given the sensitivity of the fNIRS recording device, the lighting in the test room was reduced such that the mean illumination on the forehead was approximately 150 lux, which is about one-third of typical office lighting. Figure 1 provides a visual depiction of the apparatus and environment in which fNIRS and PKMAS devices are used to conduct concurrent brain imaging and gait assessments, respectively.
Figure 1.
Visual depiction of the apparatus, synchronization of fNIRS and PKMAS and walking environment. fNIRS - Functional Near Infrared Spectroscopy; PKMAS -ProtoKinetics Movement Analysis Software. 1a) a participant standing on PKMAS with the fNIRS sensor already attached to his forehead. 1b) visual depiction of the sensor that is placed on the participant's forehead using standard procedures; 1c) synchronized communication between fNIRS and PKMAS is implemented via a dedicated computer with E-Prime computer.
Preprocessing and Hemodynamic Signal Extraction
Raw data at 730 and 850nm wavelengths were inspected for excessive noise, saturation or dark current conditions. To eliminate possible respiration, heart rate signals and unwanted high frequency noise raw intensity measurements at 730 and 850nm were low-pass filtered with a finite impulse response filter of cut-off frequency at 0.14Hz (Izzetoglu et al., 2005a; Izzetoglu et al., 2010).
Motion artefacts
While fNIRS methodology offers important advantages, motion artefacts remain an issue that should be acknowledged. Several algorithms were developed by different groups to remove motion artefacts from fNIRS measurements; most of them designed to suppress the sensor movement noise (Izzetoglu et al., 2005a; Izzetoglu et al., 2010; Scholkmann et al., 2010; Cooper et al., 2012; Sweeney et al., 2012; Brigadoi et al., 2014). In the current study we were able to identify saturated and dark current measurements from the signal levels using the methodology described in previous publications (Izzetoglu et al., 2011; Leon-Dominguez et al., 2014; McKendrick et al., 2014). We were also able to identify some of the high frequency noise that may be coming from the cable movement or from the sensor movement by using a unique feature in the current fNIRS system that provides dark current measurements (Izzetoglu et al., 2011; Rodrigo et al., 2014). In addition, motion artefacts can result from head movement. Distinguishing noise from real brain signal in data that contain motion artefacts remains, however, a challenge. Therefore, instead of making assumptions and suppressing this type of noise we eliminated these data (4% of the entire data collected) by visual inspection of an expert fNIRS data analyst (M. Izzetoglu). Oxygenated hemoglobin (HbO2), deoxygenated hemoglobin (Hb), oxygenation or oxygen index (HbO2-Hb) and total hemoglobin (HbO2+Hb) signals can be calculated from the low-pass filtered raw intensity measurements at 730 and 850 nm using modified Beer-Lambert law (Izzetoglu et al., 2005a; Izzetoglu et al., 2010). In addition to restricting the number of dependent measures, HbO2 is more reliable and sensitive to locomotion-related changes in cerebral oxygenation (Hoshi et al., 2001; Miyai et al., 2001; Strangman et al., 2003; Harada et al., 2009) and was thus used in the current study. Proximal baseline conditions ranging from 5-15 seconds have been previously reported in fNIRS studies (Izzetoglu et al., 2007). Consistent with our prior studies (Holtzer et al., 2015; Mahoney et al., 2015; Holtzer et al., 2016a; Holtzer et al., 2016b) separate proximal 10-second baselines, administered prior to each experimental condition, were used to determine relative changes HbO2 concentrations in NW, Alpha and WWT.
Epoch and Feature extraction
Individual mean HbO2 data were extracted separately in NW and WWT. For Alpha, mean HbO2 values, which were based on the entire 30 sec task duration, were used for feature extraction and comparison. We implemented additional steps that were designed to optimize the acquisition of task related HbO2 in NW and WWT by synchronizing fNIRS and gait events. A central “hub” computer with E-Prime 2.0 software sent synchronized triggers to both the fNIRS system and PKMAS. The fNIRS acquisition software received numerical triggers from E-prime that are each indicative of a unique condition and represented the beginning or end of either a baseline or test condition. A second level post-processing time synchronization method was implemented using the first recorded foot contact with the walkway as a time stamp. The recording of fNIRS was terminated at the end of the 6th and final straight walk. This end point was determined algorithmically by PKMAS as previously described (England et al., 2015). HbO2 data in NW and WWT within this range are extracted and used for comparisons between task conditions.
Reliability of fNIRS measurements
Internal consistency of HbO2 measurements, determined by split-half intra-class correlations within each task, was excellent for NW (0.830), Alpha (0.864) and WWT (0.849) (Holtzer et al., 2015).
Level of stress
Level of task-related stress was assessed using a single 11-point scale item. Specifically, participants were asked to quantify how stressful was the experience of the walking paradigm with zero indicating no stress at all and 10 being the highest level of stress.
Other Covariates
The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to assess overall level of cognitive function (Duff et al., 2008). A disease comorbidity summary score (range 0–10) was used to characterize overall levels of health (Holtzer et al., 2006; Holtzer et al., 2008). The Beck Anxiety Inventory (Beck et al., 1988) (BAI) a 21-item self-report scale (range 0-63) was used to assess the severity of anxiety symptoms. The BAI has adequate psychometric properties in older adults (Therrien & Hunsley, 2012) allowing for assessment of both cognitive and somatic anxiety (Schoen & Holtzer, 2016).
Statistical Analysis
Linear mixed effects and Generalized Estimating Equations (GEE) Poisson models were used to assess the moderating effects of stress and gender on the change in gait velocity and rate of letter generation in WWT compared to NW and Alpha, respectively. The normality assumption for gait velocity was tested and adequately met. A linear mixed effect model using robust empirical variance estimates was used to assess the moderating effects of stress and gender on HbO2 levels in WWT compared to NW and Alpha, allowing different variations in HbO2 levels among fNIRS channels. Variations between different stress levels as well as between women and men were examined and found to be similar. A linear mixed effect model was used to assess the moderating effects of stress and gender on HbO2 levels in WWT compared to NW and Alpha. Task was the three-level repeated measure variable comparing WWT to both NW and Alpha. Moderation effects were determined by 2 and 3-way interactions. Two-way interactions were stress × task and gender × task as well as stress × gender. The influence of gender on the moderating effects of stress on behavioral outcomes and HbO2 levels were examined via three-way interactions of gender × stress × task. In addition to gender and stress, analyses controlled for age, education, disease comorbidity, total BAI score, and RBANS total index score. Two sided tests were used and statistical significance was set at 0.05. Statistical analyses were performed using SAS 9.3 (SAS Institute Inc., Cary, N.C.).
Results
A total of 318 non-demented participants (mean age in years= 76.66±6.7; mean education in years=14.46±3.04; %female=56) were included in the current study. Descriptive statistics of demographic, behavioral and fNIRS data were further stratified by high versus low levels of task-related stress (see table 1). The mean RBANS Index score (91.38±12.07) was indicative of average overall cognitive function based on age and education corrected normative data. The Mean BAI score for the entire sample (5.06±5.97) was indicative of minimal levels of anxiety. Mean disease comorbidity score (1.08±1.73) confirmed the relatively healthy nature of the sample indicating that, on average, participants had one chronic health condition. As expected, stride velocity was faster in NW (80.06±17.36) compared to WWT (65.28±18.52). Also, error rate in the letter generation task (Alpha) was lower in the single task condition (3.64±5.54) compared to WWT (6.80±7.34). Mean reported task-related stress (range 0-10) was 4.43±2.95.
Table 1. Summary of sample characteristics stratified by levels of perceived stress.
| Total sample | Low perceived Stress | High perceived Stress | |
|---|---|---|---|
| Participants (n) | 318 | 147 | 171 |
| Women: Number, (%) | 179(56.3) | 69(46.9) | 110(64.3) |
| Mean(SD) | Mean(SD) | Mean(SD) | |
| Age, years: | 76.65(6.59) | 76.72(6.87) | 76.58(6.37) |
| Education, years: | 14.46(3.04) | 14.86(3.10) | 14.11(2.95) |
| Disease Comorbidity Index: | 1.73(1.08) | 1.57(1.09) | 1.67(1.08) |
| RBANS (total Index score): | 91.38(12.07) | 93.20(11.98) | 89.81(11.97) |
| Stride Velocity NW (cm/sec): | 80.06(17.(36) | 81.15(17.83) | 79.13(16.94) |
| Stride Velocity WWT (cm/sec): | 65.28(18.52) | 68.22(18.20) | 62.73(18.48) |
| Alpha: rate of letter generation (correct) | 33.74(11.86) | 34.57(11.51) | 33.06(12.14) |
| WWT: rate of letter generation (correct) | 34.63(14.90) | 35.82(13.58) | 33.65(15.88) |
| Alpha: rate of letter generation (errors) | 3.64(5.54) | 3.61(6.96) | 3.67(4.03) |
| WWT: rate of letter generation (errors) | 6.80(7.34) | 5.74(8.16) | 7.69(6.48) |
| NW: HbO2 levels | 0.11(0.65) | 0.13(0.65) | 0.09(0.65) |
| Alpha: HbO2 levels | 0.68(0.53) | 0.62(0.51) | 0.73(0.54) |
| WWT: HbO2 levels | 0.66(0.86) | 0.72(0.91) | 0.61(0.81) |
| BAI total score | 5.06(5.97) | 4.52(5.81) | 5.53(6.07) |
| Perceived Stress | 4.43(2.95) | 1.68(1.47) | 6.79(1.51) |
Note: RBANS=Repeatable Battery for the Assessment of Neuropsychological Status; NW=normal walk; WWT=walk while talk; BAI=Beck Anxiety Inventory
Effects of Stress and Gender on Gait Velocity
For visual depiction and interpretation of the data, stress was dichotomized based on median split. Analyses using stress as a continuous variable were not materially different. As expected, gait velocity was significantly reduced in WWT compared to NW (estimate=-12.401; p<0.001; 95%CI=-14.925 to -9.876) among men reporting low stress levels. The interaction of stress and task was significant revealing greater decline in gait velocity in WWT compared to NW in high versus low stress groups among men (estimate=-4.586; p<0.019; 95%CI=-8.412 to -0.760) but not among women (estimate=-2.495; p<0.152; 95%CI=-5.919 to 0.928). The three-way interaction of gender × stress × task, however, was not significant (p=0.423). Summary of the linear mixed effect model examining the effects of task and covariates on gait velocity is presented in Table 2; the interactions of stress × task stratified by gender are presented in Figure 2.
Table 2. linear mixed effects models: effects of gender and perceived stress on stride velocity.
| Variables | Estimate | t | 95% CI | P |
|---|---|---|---|---|
| NW vs. WWT | -12.401 | -9.67 | -14.925 to -9.876 | <0.0001 |
| Stress × NW vs. WWT (men) | -4.586 | -2.36 | -8.412 to -0.760 | 0.0190 |
| Stress × NW vs. WWT (women) | -2.4957 | -1.43 | -5.919 to 0.928 | 0.152 |
| Gender | 2.88 | 1.09 | -2.302 to 8.066 | 0.274 |
| Gender × NW vs. WWT | -1.108 | -0.59 | -4.792 to 0.2.576 | 0.544 |
| Gender × Stress | -4.181 | -1.15 | -11.312 to 2.949 | 0.249 |
| Gender × Stress × NW vs. WWT | 2.090 | 0.80 | -3.043 to 7.225 | 0.423 |
| Age | -0.991 | -7.87 | -1.239 to -0.743 | <0.0001 |
| Education | 0.025 | 0.09 | -0.525 to 0.576 | 0.928 |
| Disease comorbidity index | -2.832 | -3.66 | -3.354 to -1.310 | 0.0003 |
| RBANS Total Index Score | 0.323 | 4.63 | 0.185 to 0.460 | <0.0001 |
| BAI total Score | -0.277 | -1.91 | -0.562 to 0.007 | 0.056 |
Note: RBANS=Repeatable Battery for the Assessment of Neuropsychological Status; NW=normal walk; WWT=walk while talk; BAI=Beck Anxiety Inventory
Figure 2.
Changes in stride velocity (Y axis – units expressed in cm/sec) from Normal-Walk (NW) to Walk-While-Talk (WWT) as a function of group status determined by task-related perceived stress level in female (panel A) and males (panel B).
Because the main and moderating effects of gender were not significant the effect of stress on the change in gait velocity due to dual-task interference was also examined in the entire sample. Overall gait velocity declined in WWT compared to NW by 12.92 cm/sec (CI: 11.086-14.756,P<0.0001) among participants reporting low stress, while the decline was 3.43cm/sec (CI: 0.927-5.938, P=0.0074) higher among those who reported high stress. The effects of stress on gait velocity within each task condition stratified by gender, which were deduced directly from the linear mixed effects model, are presented below.
Stress effects in men (NW: estimate=1.77; p<0.525; 95%CI=-3.595 to 7.029; WWT: estimate=-2.869; p<0.289; 95%CI=-8.195 to 2.456). Stress effects in women (NW: estimate=-2.464; p<0.311; 95%CI=-7.250 to 2.322; WWT: estimate=-4.960; p<0.042; 95%CI=-9.756 to -0.174).
Effects of gender and stress on Alpha (Cognitive Interference Task)
GEE analysis revealed that the rate of errors (estimate of log of rate ratio =0.511; p<0.001; 95%CI=0.262 to 0.759) was significantly increased in WWT compared to Alpha but the rate of correct letter generation did not differ between the two task conditions (estimate=0.006; p=0.818; 95%CI=-0.052 to 0.066). Stress and gender as well as their interaction were not significantly associated with performance or task-related changes in letter generation performance (data not shown).
Effects of gender and stress on task-related changes in HbO2 levels
Gender moderated the effect of stress on task-related changes in HbO2 levels. Specifically, three-way interactions revealed that, in men relative to women, high stress was associated with attenuated increases in HbO2 levels from NW to WWT (estimate=-0.415; p=0.019; 95%CI=-0.764 to -0.065) and from Alpha to WWT (estimate=0.445; p=0.024; 95%CI=-0.834 to –0.056; see Table 3 for a summary of the findings and Figure 3 for visual depiction of the three way interactions).
Table 3. linear mixed effects models: effects of gender and perceived stress on oxygenation levels during locomotion.
| Variables | Estimate | t | 95% CI | P |
|---|---|---|---|---|
| NW vs. WWT | -0.792 | -7.90 | -0.989 to -0.595 | <0.0001 |
| Alpha vs. WWT | -0.372 | -3.39 | -0.587 to -0.157 | 0.0007 |
| Gender | -0.732 | -5.93 | -0.974 to -0.490 | <0.0001 |
| Gender × NW vs. WWT | 0.411 | 3.32 | 0.168 to 0.653 | 0.0009 |
| Gender × Alpha vs. WWT | 0.473 | 3.47 | 0.205 to 0.741 | 0.0005 |
| Stress | -0.353 | -2.32 | -0.651 to -0.055 | 0.0201 |
| Stress × NW vs. WWT | 0.277 | 1.88 | -0.012 to 0.567 | 0.060 |
| Stress × Alpha vs. WWT | 0.397 | 2.43 | 0.077 to 0.717 | 0.015 |
| Gender × Stress | 0.558 | 3.09 | 0.204 to 0.912 | 0.002 |
| Gender × Stress × NW vs. WWT | -0.415 | -2.33 | -0.764 to -0.065 | 0.019 |
| Gender × Stress × Alpha vs. WWT | -0.445 | -2.25 | -0.834 to -0.056 | 0.024 |
| Age | 0.0001 | 0.04 | -0.007 to 0.007 | 0.964 |
| Education | -0.006 | -0.71 | -0.022 to 0.010 | 0.0478 |
| Disease comorbidity index | -0.006 | -0.30 | -0.052 to 0.038 | 0.767 |
| RBANS Total Index Score | -0.0005 | -0.21 | -0.005 to 0.004 | 0.832 |
| BAI total Score | 0.004 | 1.14 | -0.002 to 0.010 | 0.255 |
Note: RBANS=Repeatable Battery for the Assessment of Neuropsychological Status; NW=normal walk; WWT=walk while talk; BAI=Beck Anxiety Inventory
Figure 3.
Changes in HbO2 levels, (Y-axis - expressed in micromolar units), from Normal Walk (NW) and Alpha to Walk-While-Talk (WWT) as a function of group status determined by task-related perceived stress level in female (panel A) and males (panel B).
Stress effects in men (NW: estimate=-0.075; p<0.490; 95%CI=-0.291 to 0.139; Alpha: estimate=0.043; p<0.625; 95%CI=-0.131 to 0.218; WWT: estimate=-0.353; p<0.0.021 95%CI=-0.651 to -0.055). Stress effects in women (NW: estimate=0.067; p<0.377; 95%CI=-0.082 to 0.217; Alpha: estimate=0.156; p<0.020; 95%CI=0.023 to 0.289; WWT: estimate=0.204; p<0.034; 95%CI=0.015 to 0.394).
Discussion
The present study was designed to determine the individual and combined effects of gender and perceived stress on gait velocity and PFC HbO2 levels during locomotion. We found that higher levels of stress were associated with more difficulties in negotiating the demands of dual-task walking as well as attenuation of brain oxygenation patterns under attention-demanding walking in older men. These findings and their implications are discussed below.
Higher task-related stress was associated with a greater decrement in stride velocity in dual-task compared to single task walking in older men. Specifically, the average decline in gait velocity due to dual-task interference was 4.586 cm/sec greater among men in the high compared to the low stress group. The difference in the average dual-task cost in gait velocity in women in the high versus low stress group was 2.496 cm/sec (see Figure 2 for visual depiction of these results). Greater dual-task costs in aging have been attributed to diminished attention and executive control resources (Holtzer et al., 2004). Hence, the findings reported herein suggest that higher level of task-related stress further diminished cognitive resources necessary to support walking under attention demanding conditions, particularly in older men. While previous research suggested that older men may experience more difficulties in negotiating the demands of dual-task walking (Hollman et al., 2011), the interaction of gender × task was not significant in this study. It appears, however, that older men were more vulnerable to the negative effect of stress on dual-task performance than older women. While reasons for this finding maybe multifaceted, research has demonstrated that sex hormones were implicated in general cognitive status (Janicki & Schupf, 2010) and specifically in executive functions (Janowsky et al., 2000; Genazzani et al., 2007). Sex hormones also influence the brain's differentiation process from development and throughout adulthood (Cosgrove et al., 2007; Gong et al., 2009). The frontal cortex is susceptible to the aging process (Raz et al., 2004; Fjell & Walhovd, 2010), and neurobiological alterations in the prefrontal cortex have been associated with age-related decline in executive functions (West, 1996). It has also been reported that men experience more gray matter degeneration compared to women in the PFC (Curiati et al., 2009), especially in the dorsolateral region (Raz et al, 1993). Hence, it is possible that the behavioral findings reported above are attributed, at least in part, to greater degeneration in the PFC in older men. This issue is further discussed below.
The PFC has been identified as a key brain region implicated in executive control processes (Koechlin et al., 2003; Koechlin & Summerfield, 2007) including dual-task walking (Holtzer et al., 2011; Mirelman et al., 2014; Holtzer et al., 2015; Hernandez et al., 2016; Holtzer et al., 2016a; Holtzer et al., 2016b). The PFC may also have an important role in coordinating physiologic and behavioral responses to stressful situations (McKlveen et al., 2015). It has been well-established that neurochemical changes that occur during acute stress significantly disrupt performance on neuropsychological tasks of working memory and executive functions (Lupien et al., 1999; Young et al., 1999; Lupien et al., 2007), as well as PFC network connections and functionality (Arnsten, 2009; McEwen & Morrison, 2013). Furthermore, research has consistently shown that administration of cortisol reduces working memory performance (Petrac et al., 2009) and behavioral flexibility (Cerqueira et al., 2007), both of which rely heavily on prefrontal circuits. These stress-induced cognitive impairments have also been associated with synaptic and/or dendritic reorganization in the hippocampus and medial prefrontal cortex (Dias-Ferreira et al., 2009). In electrophysiological studies, increases in frontal theta activity during working memory have been observed across different tasks (Gevins et al., 1997; Jensen & Tesche, 2002). Gartner and colleagues (Gartner et al., 2014) demonstrated that working memory-related frontal theta activity decreased under stress, corresponding to behavioral performance decrements during more difficult task conditions. In addition, functional neuroimaging studies have found stress-related deactivation in the dorsal and ventral prefrontal cortex and orbitofrontal cortices (Dedovic et al., 2009b). Hence, the effect of higher task-related stress on the attenuation in PFC activation patterns during dual-task walking is consistent with the extant literature; it is noteworthy, however, that the effect of stress on cortical control of human locomotion has not been previously reported.
The individual and combined effects of task-related stress and gender on the change in HbO2 levels across task conditions complemented and extended the behavioral findings described earlier (see figures 2 and 3 for visual depiction of the effect of perceived stress on stride velocity and PFC oxygenation levels across task conditions, respectively, in older women and men). Whereas the decline in stride velocity from NW to WWT was greater in high compared to low perceived stress groups in older men the trend was similar but less pronounced in older women, though differences in the latter group as a function of perceived stress status were significant in WWT. Higher levels of perceived stress, however, attenuated the increase in oxygenation levels from single task conditions to dual-task walking only in men, which was evident by the significant 3-way interaction of gender × stress × task. In fact, higher perceived stress was associated with higher oxygenation levels in Alpha and WWT but not in the change across task condition in women. It can be speculated that greater age-related atrophy in the PFC in men (as discussed earlier) underlies the decoupling of behavioral and neuroimaging findings. PFC oxygenation levels are more proximate measures to the structural integrity of the PFC compared to stride velocity that is influenced by multiple causes within and outside the central nervous system. Furthermore, it appears that brain resources, defined herein as task-related HbO2 levels, among older men who reported higher stress levels were limited, which in turn resulted in greater dual-task costs in gait velocity. Several and possibly competing cognitive aging models may account for these findings. Overall, task-related HbO2 levels were higher in men compared to women. It could be argued that greater involvement of the PFC has a compensatory function for aging men. The Compensatory Reallocation hypothesis (Cabeza, 2002; Cabeza et al., 2002) suggests that increased activation in the PFC in older adults is designed to compensate for reduced efficiency of brain networks that underlie task performance in younger individuals. The corollary, according to the Compensatory Reallocation hypothesis, is that increased brain activation is associated with better performance (walking speed in this case). Neural Compensation models (Stern, 2009), on the other hand, postulates that increased or distinct task related activation patterns are necessary to support the task but will not necessarily result in better performance. It is reasonable to suggest that the greater HbO2 levels observed in men have a compensatory function, especially if they find the cognitive demands of locomotion both arduous and stressful. It can be further argued that the Capacity Limitations (Grady et al., 1995; Madden et al., 1996; Reuter-Lorenz et al., 2000; Cabeza et al., 2004) hypothesis of working memory explains stress-related differences in PFC HbO2 levels during locomotion in men. Evidence for Capacity Limitations exists among groups with known brain pathology wherein individuals show attenuated brain activations in response to cognitive challenges. Accordingly, due to compromised structural and/or functional networks, the brain's response to tasks, particularly when cognitive demands are increased is attenuated (Holtzer et al., 2009; Holtzer et al., 2016a). Hence, we propose that due to the detrimental effects of stress on PFC architecture and functionality, older men who reported higher perceived stress levels were unable to recruit and increase the involvement of this brain region to support the cognitive demands of locomotion, notably under attention-demanding dual-task conditions.
Clinical implications
Dual-task walking is a robust predictor of falls (Ayers et al., 2014) and disability and mortality (Verghese et al., 2012). Behavioral stress reduction techniques have established effectiveness in various populations (Gotink et al., 2015). It is also noteworthy that computerized cognitive remediation (Verghese et al., 2010) and training in dual-task walking (Schwenk et al., 2010) resulted in improved WWT walking performance. Whether or not stress reduction techniques and/or cognitive training can reduce task-related stress levels and modify brain HbO2 levels during active locomotion remains to be evaluated. It appears, however, that inclusion of a brief stress instrument in risk assessment of individuals prone to developing mobility impairments and disability could be beneficial.
Limitations and future directions
The sample in the current study, although variable, consisted of relatively healthy and independent older adults whose overall anxiety levels were low. The generalizability of these findings to patient populations, especially those with neurological diseases or conditions associated with a high prevalence of anxiety and stress symptoms that are not task-dependent, has to be determined in future studies. While the participants were community dwelling, ambulatory and dementia free, our study design did not include traditional imaging in all participants that would enable further insights into underlying brain substrates. The stress question was specific to the task examined, and we do not discount the effect that other context dependent stress or predisposition may have on other mobility functions. It is noteworthy, however, that analyses controlled for a number of confounders including anxiety, which was assessed using a well validated scale for older adults (Therrien & Hunsley, 2012; Schoen & Holtzer, 2016). Stress is a multifaceted construct and while the operational definition used herein was based on self-report further examination of objective physiological stress indicators such as cortisol levels and inflammatory markers is of interest. While the fNIRS system used in the current study offers significant advantages in terms of portability and capability to assess PFC oxygenation levels during walking its spatial limitations should be acknowledged. The limited depth of penetration and brain regions surveyed by this system provide a critical, though limited, window into brain control of locomotion. Future studies should utilize multi-imaging modalities to provide whole brain structural and functional context to fNIRS findings. HbO2 is more reliable and sensitive to locomotion-related changes in cerebral oxygenation compared to deoxygenated hemoglobin (Hoshi et al., 2001; Miyai et al., 2001; Strangman et al., 2003; Harada et al., 2009) and was thus used in the current study. Furthermore, using one outcome measure reduces the probability of false discovery rate. Future studies, however, should evaluate whether other chromophores, such as deoxygenated hemoglobin, provide different patterns in the data that can complement and add to the HbO2 findings reported herein. In addition, the limitations of the current fNIRS device preclude direct assessment of factors including but not limited to skull thickness or skin response that might influence cortical changes in oxygenation patterns during locomotion. These important issues have been previously discussed (Kirilina et al., 2012; Erdogan et al., 2014). We emphasize, however, that these factors as well as the effect of motion artefacts, while important, were not likely to influence the moderating effects of gender and perceived stress on task related changes in PFC oxygenation levels given that experimental conditions were administered in a random order and had the same walking environment and physical requirements.
Conclusion
Perceived stress influenced both the dual-task cost in gait velocity and locomotion-related differences in HbO2 levels, particularly among older men. The implications of these findings on risk assessment and treatment of individuals at risk of incident mobility impairments and falls should be further evaluated. Whether improving subjective or objective indicators of stress may improve locomotion in healthy and impaired older adults requires additional investigation.
Acknowledgments
This research was supported by the National Institutes on Aging grant (R01AG036921 and R01AG044007).
Footnotes
Potential Conflicts of Interest: Dr. Izzetoglu has a very minor share in the company that manufactures the fNIRS device used in this study. All other authors have no conflicts of interest to report in relation to the current article.
References
- Arnsten AF. Stress signalling pathways that impair prefrontal cortex structure and function. Nat Rev Neurosci. 2009;10:410–422. doi: 10.1038/nrn2648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Association AP. Diagnostic and Statistical Manual of Mental Disorders Author. Washington DC: 2000. [Google Scholar]
- Ayaz H, Izzetoglu M, Platek SM, Bunce S, Izzetoglu K, Pourrezaei K, Onaral B. Registering fNIR data to brain surface image using MRI templates. ConfProc IEEE Eng Med Biol Soc. 2006;1:2671–2674. doi: 10.1109/IEMBS.2006.260835. [DOI] [PubMed] [Google Scholar]
- Ayers EI, Tow AC, Holtzer R, Verghese J. Walking while talking and falls in aging. Gerontology. 2014;60:108–113. doi: 10.1159/000355119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. Journal of Consulting & Clinical Psychology. 1988;56:893–897. doi: 10.1037//0022-006x.56.6.893. [DOI] [PubMed] [Google Scholar]
- Beeri MS, Schmeidler J, Sano M, Wang J, Lally R, Grossman H, Silverman JM. Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old. Neurology. 2006;67:1006–1010. doi: 10.1212/01.wnl.0000237548.15734.cd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brigadoi S, Ceccherini L, Cutini S, Scarpa F, Scatturin P, Selb J, Gagnon L, Boas DA, Cooper RJ. Motion artifacts in functional near-infrared spectroscopy: a comparison of motion correction techniques applied to real cognitive data. Neuroimage. 2014;85 Pt 1:181–191. doi: 10.1016/j.neuroimage.2013.04.082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cabeza R. Hemispheric asymmetry reduction in older adults: the HAROLD model. Psychol Aging. 2002;17:85–100. doi: 10.1037//0882-7974.17.1.85. [DOI] [PubMed] [Google Scholar]
- Cabeza R, Anderson ND, Locantore JK, McIntosh AR. Aging gracefully: compensatory brain activity in high-performing older adults. Neuroimage. 2002;17:1394–1402. doi: 10.1006/nimg.2002.1280. [DOI] [PubMed] [Google Scholar]
- Cabeza R, Daselaar SM, Dolcos F, Prince SE, Budde M, Nyberg L. Task-independent and task-specific age effects on brain activity during working memory, visual attention and episodic retrieval. Cereb Cortex. 2004;14:364–375. doi: 10.1093/cercor/bhg133. [DOI] [PubMed] [Google Scholar]
- Castonguay N, Lussier M, Bugaiska A, Lord C, Bherer L. Executive functions in men and postmenopausal women. J Clin Exp Neuropsychol. 2015;37:193–208. doi: 10.1080/13803395.2014.1000267. [DOI] [PubMed] [Google Scholar]
- Cerqueira JJ, Mailliet F, Almeida OF, Jay TM, Sousa N. The prefrontal cortex as a key target of the maladaptive response to stress. J Neurosci. 2007;27:2781–2787. doi: 10.1523/JNEUROSCI.4372-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cooper RJ, Selb J, Gagnon L, Phillip D, Schytz HW, Iversen HK, Ashina M, Boas DA. A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy. Frontiers in neuroscience. 2012;6:147. doi: 10.3389/fnins.2012.00147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cosgrove KP, Mazure CM, Staley JK. Evolving knowledge of sex differences in brain structure, function, and chemistry. Biological psychiatry. 2007;62:847–855. doi: 10.1016/j.biopsych.2007.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Curiati PK, Tamashiro JH, Squarzoni P, Duran FL, Santos LC, Wajngarten M, Leite CC, Vallada H, Menezes PR, Scazufca M, Busatto GF, Alves TC. Brain structural variability due to aging and gender in cognitively healthy Elders: results from the Sao Paulo Ageing and Health study. AJNR Am J Neuroradiol. 2009;30:1850–1856. doi: 10.3174/ajnr.A1727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dedovic K, Duchesne A, Andrews J, Engert V, Pruessner JC. The brain and the stress axis: the neural correlates of cortisol regulation in response to stress. Neuroimage. 2009a;47:864–871. doi: 10.1016/j.neuroimage.2009.05.074. [DOI] [PubMed] [Google Scholar]
- Dedovic K, Rexroth M, Wolff E, Duchesne A, Scherling C, Beaudry T, Lue SD, Lord C, Engert V, Pruessner JC. Neural correlates of processing stressful information: an event-related fMRI study. Brain Res. 2009b;1293:49–60. doi: 10.1016/j.brainres.2009.06.044. [DOI] [PubMed] [Google Scholar]
- Dias-Ferreira E, Sousa JC, Melo I, Morgado P, Mesquita AR, Cerqueira JJ, Costa RM, Sousa N. Chronic stress causes frontostriatal reorganization and affects decision-making. Science. 2009;325:621–625. doi: 10.1126/science.1171203. [DOI] [PubMed] [Google Scholar]
- Duff K, Humphreys Clark JD, O'Bryant SE, Mold JW, Schiffer RB, Sutker PB. Utility of the RBANS in detecting cognitive impairment associated with Alzheimer's disease: sensitivity, specificity, and positive and negative predictive powers. Archives of clinical neuropsychology: the official journal of the National Academy of Neuropsychologists. 2008;23:603–612. doi: 10.1016/j.acn.2008.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- England SE, Verghese J, Mahoney JR, Trantzas C, Holtzer R. Three-level rating of turns while walking. Gait Posture. 2015;41:300–303. doi: 10.1016/j.gaitpost.2014.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erdogan SB, Yucel MA, Akin A. Analysis of task-evoked systemic interference in fNIRS measurements: insights from fMRI. Neuroimage. 2014;87:490–504. doi: 10.1016/j.neuroimage.2013.10.024. [DOI] [PubMed] [Google Scholar]
- Fjell AM, Walhovd KB. Structural brain changes in aging: courses, causes and cognitive consequences. Reviews in the neurosciences. 2010;21:187–221. doi: 10.1515/revneuro.2010.21.3.187. [DOI] [PubMed] [Google Scholar]
- Galvin JE, Roe CM, Xiong C, Morris JC. Validity and reliability of the AD8 informant interview in dementia. Neurology. 2006;67:1942–1948. doi: 10.1212/01.wnl.0000247042.15547.eb. [DOI] [PubMed] [Google Scholar]
- Gartner M, Rohde-Liebenau L, Grimm S, Bajbouj M. Working memory-related frontal theta activity is decreased under acute stress. Psychoneuroendocrinology. 2014;43:105–113. doi: 10.1016/j.psyneuen.2014.02.009. [DOI] [PubMed] [Google Scholar]
- Geary DC, Flinn MV. Sex differences in behavioral and hormonal response to social threat: commentary on Taylor et al. (2000) Psychological review. 2002;109:745–750. doi: 10.1037/0033-295x.109.4.745. discussion 751-743. [DOI] [PubMed] [Google Scholar]
- Genazzani AR, Pluchino N, Luisi S, Luisi M. Estrogen, cognition and female ageing. Human reproduction update. 2007;13:175–187. doi: 10.1093/humupd/dml042. [DOI] [PubMed] [Google Scholar]
- Gevins A, Smith ME, McEvoy L, Yu D. High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice. Cereb Cortex. 1997;7:374–385. doi: 10.1093/cercor/7.4.374. [DOI] [PubMed] [Google Scholar]
- Gong G, Rosa-Neto P, Carbonell F, Chen ZJ, He Y, Evans AC. Age- and gender-related differences in the cortical anatomical network. JNeurosci. 2009;29:15684–15693. doi: 10.1523/JNEUROSCI.2308-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gotink RA, Chu P, Busschbach JJ, Benson H, Fricchione GL, Hunink MG. Standardised mindfulness-based interventions in healthcare: an overview of systematic reviews and meta-analyses of RCTs. PloS one. 2015;10:e0124344. doi: 10.1371/journal.pone.0124344. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- Gotthardt U, Schweiger U, Fahrenberg J, Lauer CJ, Holsboer F, Heuser I. Cortisol, ACTH, and cardiovascular response to a cognitive challenge paradigm in aging and depression. The American journal of physiology. 1995;268:R865–873. doi: 10.1152/ajpregu.1995.268.4.R865. [DOI] [PubMed] [Google Scholar]
- Grady CL, McIntosh AR, Horwitz B, Maisog JM, Ungerleider LG, Mentis MJ, Pietrini P, Schapiro MB, Haxby JV. Age-related reductions in human recognition memory due to impaired encoding. Science. 1995;269:218–221. doi: 10.1126/science.7618082. [DOI] [PubMed] [Google Scholar]
- Harada T, Miyai I, Suzuki M, Kubota K. Gait capacity affects cortical activation patterns related to speed control in the elderly. Exp Brain Res. 2009;193:445–454. doi: 10.1007/s00221-008-1643-y. [DOI] [PubMed] [Google Scholar]
- Hernandez ME, Holtzer R, Chaparro G, Jean K, Balto JM, Sandroff BM, Izzetoglu M, Motl RW. Brain activation changes during locomotion in middle-aged to older adults with multiple sclerosis. J NeurolSci. 2016;370:277–283. doi: 10.1016/j.jns.2016.10.002. [DOI] [PubMed] [Google Scholar]
- Hollman JH, Youdas JW, Lanzino DJ. Gender differences in dual task gait performance in older adults. American journal ofmen's health. 2011;5:11–17. doi: 10.1177/1557988309357232. [DOI] [PubMed] [Google Scholar]
- Holtzer R, Epstein N, Mahoney JR, Izzetoglu M, Blumen HM. Neuroimaging of mobility in aging: a targeted review. J Gerontol A Biol Sci Med Sci. 2014a;69:1375–1388. doi: 10.1093/gerona/glu052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Mahoney J, Verghese J. Intraindividual variability in executive functions but not speed of processing or conflict resolution predicts performance differences in gait speed in older adults. J Geron tol A Biol Sci Med Sci. 2014b;69:980–986. doi: 10.1093/gerona/glt180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Mahoney JR, Izzetoglu M, Izzetoglu K, Onaral B, Verghese J. fNIRS Study of Walking and Walking While Talking in Young and Old Individuals. J Gerontol a-Biol. 2011;66:879–887. doi: 10.1093/gerona/glr068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Mahoney JR, Izzetoglu M, Wang C, England S, Verghese J. Online fronto-cortical control of simple and attention-demanding locomotion in humans. Neuroimage. 2015;112:152–159. doi: 10.1016/j.neuroimage.2015.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Rakitin BC, Steffener J, Flynn J, Kumar A, Stern Y. Age effects on load-dependent brain activations in working memory for novel material. Brain Res. 2009;1249:148–161. doi: 10.1016/j.brainres.2008.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Stern Y, Rakitin BC. Age-related differences in executive control of working memory. Memory & Cognition. 2004;32:1333–1345. doi: 10.3758/bf03206324. [DOI] [PubMed] [Google Scholar]
- Holtzer R, Verghese J, Allali G, Izzetoglu M, Wang C, Mahoney JR. Neurological Gait Abnormalities Moderate the Functional Brain Signature of the Posture First Hypothesis. Brain topography. 2016a;29:334–343. doi: 10.1007/s10548-015-0465-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Verghese J, Wang C, Hall CB, Lipton RB. Within-person across-neuropsychological test variability and incident dementia. JAMA. 2008;300:823–830. doi: 10.1001/jama.300.7.823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Verghese J, Xue X, Lipton RB. Cognitive processes related to gait velocity: results from the Einstein Aging Study. Neuropsychology. 2006;20:215–223. doi: 10.1037/0894-4105.20.2.215. [DOI] [PubMed] [Google Scholar]
- Holtzer R, Wang C, Verghese J. Performance variance on walking while talking tasks: theory, findings, and clinical implications. Age (Dordrecht, Netherlands) 2014c;36:373–381. doi: 10.1007/s11357-013-9570-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holtzer R, Yuan J, Verghese J, Mahoney JR, Izzetoglu M, Wang C. Interactions of Subjective and Objective Measures of Fatigue Defined in the Context of Brain Control of Locomotion. J Gerontol A Biol Sci Med Sci. 2016b doi: 10.1093/gerona/glw167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoshi Y, Kobayashi N, Tamura M. Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model. JAppl Physiol. 2001;90:1657–1662. doi: 10.1152/jappl.2001.90.5.1657. [DOI] [PubMed] [Google Scholar]
- Izzetoglu K, Ayaz H, Merzagora A, Izzetoglu M, Shewokis PA, Bunce SC, Pourrezaei K, Rosen A, Onaral B. The Evolution of Field Deployable Fnir Spectroscopy from Bench to Clinical Settings. J Innov Opt Heal Sci. 2011;4:239–250. [Google Scholar]
- Izzetoglu M, Chitrapu P, Bunce S, Onaral B. Motion artifact cancellation in NIR spectroscopy using discrete Kalman filtering. Biomedical engineering online. 2010;9:16. doi: 10.1186/1475-925X-9-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Izzetoglu M, Bunce SC, Izzetoglu K, Onaral B, Pourrezaei K. Functional brain imaging using near-infrared technology. IEEE Eng Med Biol Mag. 2007;26:38–46. doi: 10.1109/memb.2007.384094. [DOI] [PubMed] [Google Scholar]
- Izzetoglu M, Devaraj A, Bunce S, Onaral B. Motion artifact cancellation in NIR spectroscopy using Wiener filtering. IEEE Trans Biomed Eng. 2005a;52:934–938. doi: 10.1109/TBME.2005.845243. [DOI] [PubMed] [Google Scholar]
- Izzetoglu M, Izzetoglu K, Bunce S, Ayaz H, Devaraj A, Onaral B, Pourrezaei K. Functional near-infrared neuroimaging. IEEE Trans Neural Syst Rehabil Eng. 2005b;13:153–159. doi: 10.1109/TNSRE.2005.847377. [DOI] [PubMed] [Google Scholar]
- Izzetoglu K, Bunce S, Onaral B, Pourrezaei K, Chance B. Functional Optical Brain Imaging Using Near-Infrared During Cognitive Tasks. International Journal of Human-Computer Interaction. 2004a;17:211–227. [Google Scholar]
- Izzetoglu K, Bunce S, Izzetoglu M, Onaral B, Pourrezaei K. Functional near-infrared neuroimaging. ConfProc IEEE Eng Med Biol Soc. 2004b;7:5333–5336. doi: 10.1109/IEMBS.2004.1404489. [DOI] [PubMed] [Google Scholar]
- Janicki SC, Schupf N. Hormonal influences on cognition and risk for Alzheimer's disease. Curr Neurol Neurosci Rep. 2010;10:359–366. doi: 10.1007/s11910-010-0122-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Janowsky JS, Chavez B, Orwoll E. Sex steroids modify working memory. J Cogn Neurosci. 2000;12:407–414. doi: 10.1162/089892900562228. [DOI] [PubMed] [Google Scholar]
- Jensen O, Tesche CD. Frontal theta activity in humans increases with memory load in a working memory task. Eur JNeurosci. 2002;15:1395–1399. doi: 10.1046/j.1460-9568.2002.01975.x. [DOI] [PubMed] [Google Scholar]
- Kirilina E, Jelzow A, Heine A, Niessing M, Wabnitz H, Bruhl R, Ittermann B, Jacobs AM, Tachtsidis I. The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy. Neuroimage. 2012;61:70–81. doi: 10.1016/j.neuroimage.2012.02.074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koechlin E, Ody C, Kouneiher F. The architecture of cognitive control in the human prefrontal cortex. Science. 2003;302:1181–1185. doi: 10.1126/science.1088545. [DOI] [PubMed] [Google Scholar]
- Koechlin E, Summerfield C. An information theoretical approach to prefrontal executive function. Trends Cogn Sci. 2007;11:229–235. doi: 10.1016/j.tics.2007.04.005. [DOI] [PubMed] [Google Scholar]
- Kudielka BM, Buske-Kirschbaum A, Hellhammer DH, Kirschbaum C. HPA axis responses to laboratory psychosocial stress in healthy elderly adults, younger adults, and children: impact of age and gender. Psychoneuroendocrinology. 2004;29:83–98. doi: 10.1016/s0306-4530(02)00146-4. [DOI] [PubMed] [Google Scholar]
- LeMonda BC, Mahoney JR, Verghese J, Holtzer R. The Association between High Neuroticism-Low Extraversion and Dual-Task Performance during Walking While Talking in Non-demented Older Adults. J Int Neuropsychol Soc. 2015;21:519–530. doi: 10.1017/S1355617715000570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leon-Dominguez U, Izzetoglu M, Leon-Carrion J, Solis-Marcos I, Garcia-Torrado FJ, Forastero-Rodriguez A, Mellado-Miras P, Villegas-Duque D, Lopez-Romero JL, Onaral B, Izzetoglu K. Molecular concentration of deoxyHb in human prefrontal cortex predicts the emergence and suppression of consciousness. Neuroimage. 2014;85 Pt 1:616–625. doi: 10.1016/j.neuroimage.2013.07.023. [DOI] [PubMed] [Google Scholar]
- Lipton RB, Katz MJ, Kuslansky G, Sliwinski MJ, Stewart WF, Verghese J, Crystal HA, Buschke H. Screening for dementia by telephone using the memory impairment screen. J Am Geriatr Soc. 2003;51:1382–1390. doi: 10.1046/j.1532-5415.2003.51455.x. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, Gillin CJ, Hauger RL. Working memory is more sensitive than declarative memory to the acute effects of corticosteroids: a dose-response study in humans. Behav Neurosci. 1999;113:420–430. doi: 10.1037//0735-7044.113.3.420. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, Maheu F, Tu M, Fiocco A, Schramek TE. The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. Brain Cogn. 2007;65:209–237. doi: 10.1016/j.bandc.2007.02.007. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, McEwen BS, Gunnar MR, Heim C. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci. 2009;10:434–445. doi: 10.1038/nrn2639. [DOI] [PubMed] [Google Scholar]
- MacAulay RK, Brouillette RM, Foil HC, Bruce-Keller AJ, Keller JN. A longitudinal study on dual-tasking effects on gait: cognitive change predicts gait variance in the elderly. PloS one. 2014;9:e99436. doi: 10.1371/journal.pone.0099436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Madden DJ, Turkington TG, Coleman RE, Provenzale JM, DeGrado TR, Hoffman JM. Adult age differences in regional cerebral blood flow during visual world identification: evidence from H215O PET. Neuroimage. 1996;3:127–142. doi: 10.1006/nimg.1996.0015. [DOI] [PubMed] [Google Scholar]
- Mahoney JR, Holtzer R, Izzetoglu M, Zemon V, Verghese J, Allali G. The role of prefrontal cortex during postural control in Parkinsonian syndromes a functional near-infrared spectroscopy study. Brain Res. 2015;1633:126–138. doi: 10.1016/j.brainres.2015.10.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCarrey AC, An Y, Kitner-Triolo MH, Ferrucci L, Resnick SM. Sex differences in cognitive trajectories in clinically normal older adults. Psychol Aging. 2016;31:166–175. doi: 10.1037/pag0000070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McEwen BS, Morrison JH. The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron. 2013;79:16–29. doi: 10.1016/j.neuron.2013.06.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McKendrick R, Ayaz H, Olmstead R, Parasuraman R. Enhancing dual-task performance with verbal and spatial working memory training: continuous monitoring of cerebral hemodynamics with NIRS. Neuroimage. 2014;85 Pt 3:1014–1026. doi: 10.1016/j.neuroimage.2013.05.103. [DOI] [PubMed] [Google Scholar]
- McKlveen JM, Myers B, Herman JP. The medial prefrontal cortex: coordinator of autonomic, neuroendocrine and behavioural responses to stress. Journal of neuroendocrinology. 2015;27:446–456. doi: 10.1111/jne.12272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mihara M, Miyai I, Hatakenaka M, Kubota K, Sakoda S. Sustained prefrontal activation during ataxic gait: a compensatory mechanism for ataxic stroke? Neuroimage. 2007;37:1338–1345. doi: 10.1016/j.neuroimage.2007.06.014. [DOI] [PubMed] [Google Scholar]
- Mirelman A, Maidan I, Bernad-Elazari H, Nieuwhof F, Reelick M, Giladi N, Hausdorff JM. Increased frontal brain activation during walking while dual tasking: an fNIRS study in healthy young adults. J Neuroeng Rehabil. 2014;11:85. doi: 10.1186/1743-0003-11-85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miyai I, Tanabe HC, Sase I, Eda H, Oda I, Konishi I, Tsunazawa Y, Suzuki T, Yanagida T, Kubota K. Cortical mapping of gait in humans: a near-infrared spectroscopic topography study. Neuroimage. 2001;14:1186–1192. doi: 10.1006/nimg.2001.0905. [DOI] [PubMed] [Google Scholar]
- Munro CA, Winicki JM, Schretlen DJ, Gower EW, Turano KA, Munoz B, Keay L, Bandeen-Roche K, West SK. Sex differences in cognition in healthy elderly individuals. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2012;19:759–768. doi: 10.1080/13825585.2012.690366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oei NY, Everaerd WT, Elzinga BM, van Well S, Bermond B. Psychosocial stress impairs working memory at high loads: an association with cortisol levels and memory retrieval. Stress (Amsterdam, Netherlands) 2006;9:133–141. doi: 10.1080/10253890600965773. [DOI] [PubMed] [Google Scholar]
- Oh-Park M, Holtzer R, Xue X, Verghese J. Conventional and robust quantitative gait norms in community-dwelling older adults. J Am Geriatr Soc. 2010;58:1512–1518. doi: 10.1111/j.1532-5415.2010.02962.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petrac DC, Bedwell JS, Renk K, Orem DM, Sims V. Differential relationship of recent self-reported stress and acute anxiety with divided attention performance. Stress (Amsterdam, Netherlands) 2009;12:313–319. doi: 10.1080/10253890802380714. [DOI] [PubMed] [Google Scholar]
- Platek SM, Fonteyn LC, Izzetoglu M, Myers TE, Ayaz H, Li C, Chance B. as Functional near infrared spectroscopy reveals differences in self-other processing a function of schizotypal personality traits. Schizophr Res. 2005;73:125–127. doi: 10.1016/j.schres.2004.09.024. [DOI] [PubMed] [Google Scholar]
- Raz N, Gunning-Dixon F, Head D, Rodrigue KM, Williamson A, Acker JD. Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume. Neurobiol Aging. 2004;25:377–396. doi: 10.1016/S0197-4580(03)00118-0. [DOI] [PubMed] [Google Scholar]
- Raz N, Torres IJ, Spencer WD. Pathoclysis in aging human cerebral cortex: evidenced from in vivo MRI morphometry. Psychobiology. 1993;21:151–160. [Google Scholar]
- Reuter-Lorenz PA, Jonides J, Smith EE, Hartley A, Miller A, Marshuetz C, Koeppe RA. Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET. J Cogn Neurosci. 2000;12:174–187. doi: 10.1162/089892900561814. [DOI] [PubMed] [Google Scholar]
- Robinson SJ, Sunram-Lea SI, Leach J, Owen-Lynch PJ. The effects of exposure to an acute naturalistic stressor on working memory, state anxiety and salivary cortisol concentrations. Stress (Amsterdam, Netherlands) 2008;11:115–124. doi: 10.1080/10253890701559970. [DOI] [PubMed] [Google Scholar]
- Rodrigo A, Domenico SI, Ayaz H, Gulrajani S, Lam J, Ruocco AC. Differentiating functions of the lateral and medial prefrontal cortex in motor response inhibition. Neuroimage. 2014;85 Pt 1:423–431. doi: 10.1016/j.neuroimage.2013.01.059. [DOI] [PubMed] [Google Scholar]
- Rueggeberg R, Wrosch C, Miller GE. The different roles of perceived stress in the association between older adults physical activity and physical health. Health psychology: official journal of the Division of Health Psychology, American Psychological Association. 2012;31:164–171. doi: 10.1037/a0025242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoen CB, Holtzer R. Differential relationships of somatic and cognitive anxiety with measures of processing speed in older adults. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2016:1–15. doi: 10.1080/13825585.2016.1226247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scholkmann F, Spichtig S, Muehlemann T, Wolf M. How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation. Physiological measurement. 2010;31:649–662. doi: 10.1088/0967-3334/31/5/004. [DOI] [PubMed] [Google Scholar]
- Schwenk M, Zieschang T, Oster P, Hauer K. Dual-task performances can be improved in patients with dementia: a randomized controlled trial. Neurology. 2010;74:1961–1968. doi: 10.1212/WNL.0b013e3181e39696. [DOI] [PubMed] [Google Scholar]
- Stern Y. Cognitive reserve. Neuropsychologia. 2009;47:2015–2028. doi: 10.1016/j.neuropsychologia.2009.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Strangman G, Franceschini MA, Boas DA. Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters. Neuroimage. 2003;18:865–879. doi: 10.1016/s1053-8119(03)00021-1. [DOI] [PubMed] [Google Scholar]
- Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, Brach J, Chandler J, Cawthon P, Connor EB, Nevitt M, Visser M, Kritchevsky S, Badinelli S, Harris T, Newman AB, Cauley J, Ferrucci L, Guralnik J. Gait speed and survival in older adults. JAMA. 2011;305:50–58. doi: 10.1001/jama.2010.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Suzuki M, Miyai I, Ono T, Kubota K. Activities in the frontal cortex and gait performance are modulated by preparation. An fNIRS study. Neuroimage. 2008;39:600–607. doi: 10.1016/j.neuroimage.2007.08.044. [DOI] [PubMed] [Google Scholar]
- Sweeney KT, Ayaz H, Ward TE, Izzetoglu M, McLoone SF, Onaral B. A methodology for validating artifact removal techniques for physiological signals. IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society. 2012;16:918–926. doi: 10.1109/TITB.2012.2207400. [DOI] [PubMed] [Google Scholar]
- Therrien Z, Hunsley J. Assessment of anxiety in older adults: a systematic review of commonly used measures. Aging & mental health. 2012;16:1–16. doi: 10.1080/13607863.2011.602960. [DOI] [PubMed] [Google Scholar]
- Vedhara K, Hyde J, Gilchrist ID, Tytherleigh M, Plummer S. Acute stress, memory, attention and cortisol. Psychoneuroendocrinology. 2000;25:535–549. doi: 10.1016/s0306-4530(00)00008-1. [DOI] [PubMed] [Google Scholar]
- Verghese J, Ayers E, Barzilai N, Bennett DA, Buchman AS, Holtzer R, Katz MJ, Lipton RB, Wang C. Motoric cognitive risk syndrome: Multicenter incidence study. Neurology. 2014;83:2278–2284. doi: 10.1212/WNL.0000000000001084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verghese J, Holtzer R, Lipton RB, Wang C. Mobility stress test approach to predicting frailty, disability, and mortality in high-functioning older adults. J Am Geriatr Soc. 2012;60:1901–1905. doi: 10.1111/j.1532-5415.2012.04145.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verghese J, Lipton RB, Hall CB, Kuslansky G, Katz MJ, Buschke H. Abnormality of gait as a predictor of non-Alzheimers dementia. N Engl J Med. 2002;347:1761–1768. doi: 10.1056/NEJMoa020441. [DOI] [PubMed] [Google Scholar]
- Verghese J, Mahoney J, Ambrose AF, Wang C, Holtzer R. Effect of cognitive remediation on gait in sedentary seniors. J Gerontol A Biol Sci Med Sci. 2010;65:1338–1343. doi: 10.1093/gerona/glq127. [DOI] [PubMed] [Google Scholar]
- West RL. An application of prefrontal cortex function theory to cognitive aging. Psychol Bull. 1996;120:272–292. doi: 10.1037/0033-2909.120.2.272. [DOI] [PubMed] [Google Scholar]
- Young AH, Sahakian BJ, Robbins TW, Cowen PJ. The effects of chronic administration of hydrocortisone on cognitive function in normal male volunteers. Psychopharmacology. 1999;145:260–266. doi: 10.1007/s002130051057. [DOI] [PubMed] [Google Scholar]



