Clinical assessment applications of ambulatory biosensors.

Haynes, Stephen N.; Yoshioka, Dawn T.

doi:10.1037/1040-3590.19.1.44

Cited by 26 publications

(21 citation statements)

References 58 publications

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“…Using a colorimetric rather than an immobilized antibody platform simplifies handling and results in greater stability, as evidenced by the minimal measurement drift over the 6 week period. This measurement consistency is especially critical when it comes to studying temporal changes in psychobiologic events related to behavioral problems and for the longitudinal evaluation of treatment effects (Haynes & Yoshioka, 2007)…”

Section: Discussionmentioning

confidence: 99%

Developmental validation of a point-of-care, salivary α-amylase biosensor

Shetty¹,

Zigler²,

Robles³

et al. 2011

Psychoneuroendocrinology

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The translation of salivary alpha-amylase (sAA) to the ambulatory assessment of stress hinges on the development of technologies capable of speedy and accurate reporting of sAA levels. Here, we describe the developmental validation and usability testing of a point-of-care, colorimetric, sAA biosensor. A disposable test strip allows for streamlined sample collection and a corresponding hand-held reader with integrated analytic capabilities permits rapid analysis and reporting of sAA levels. Bioanalytical validation utilizing saliva samples from 20 normal subjects indicates that, within the biosensor’s linear range (10–230 U/ml), its accuracy (R2 = 0.989), precision (CV < 9%), and measurement repeatability (range −3.1% to + 3.1%) approach more elaborate laboratory-based, clinical analyzers. The truncated sampling-reporting cycle (< 1 minute) and the excellent performance characteristics of the biosensor has the potential to take sAA analysis out of the realm of dedicated, centralized laboratories and facilitate future sAA biomarker qualification studies.

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Section: Discussionmentioning

confidence: 99%

Developmental validation of a point-of-care, salivary α-amylase biosensor

Shetty¹,

Zigler²,

Robles³

et al. 2011

Psychoneuroendocrinology

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“…Our approach for quantifying the organization of mouse home cage behavior should thus provide new opportunities to examine the neural basis of behavioral regulation, comprehensively study disease models, and assess new therapies. Moreover, the availablity of gps and mobile monitoring technologies such as actimetry (50)(51)(52)(53) will enable adaptation of our algorithms for behavioral classification and analysis to the monitoring of humans and animals in the field.…”

Section: Discussionmentioning

confidence: 99%

A robust automated system elucidates mouse home cage behavioral structure

Goulding

Schenk

Juneja

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

145

142

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Patterns of behavior exhibited by mice in their home cages reflect the function and interaction of numerous behavioral and physiological systems. Detailed assessment of these patterns thus has the potential to provide a powerful tool for understanding basic aspects of behavioral regulation and their perturbation by disease processes. However, the capacity to identify and examine these patterns in terms of their discrete levels of organization across diverse behaviors has been difficult to achieve and automate. Here, we describe an automated approach for the quantitative characterization of fundamental behavioral elements and their patterns in the freely behaving mouse. We demonstrate the utility of this approach by identifying unique features of home cage behavioral structure and changes in distinct levels of behavioral organization in mice with single gene mutations altering energy balance. The robust, automated, reproducible quantification of mouse home cage behavioral structure detailed here should have wide applicability for the study of mammalian physiology, behavior, and disease.circadian ͉ ingestion ͉ obesity ͉ phenotyping M olecular genetic approaches for manipulating gene expression and neural activity in mice, combined with the elucidation of the mouse genome, provide unprecedented opportunities for the investigation of diverse behavioral processes in the context of a mammalian system. While substantial insights have been gained through the application of existing behavioral assays, many of these examine behavior over a limited time window and focus on a single behavioral domain (1, 2). To complement such approaches, we developed an automated, readily-standardized quantitative approach for elucidating the complex organization of diverse behaviors exhibited by mice in their home cages.We focused on mice in their home cages because the organization of behavior in freely acting animals provides a window into the central integration of numerous behavioral and physiological systems (e.g., energy balance, thermal status, osmotic/volume status, sleep, reproduction, defense, and environmental entrainment). The functions and interactions of these systems result in the coordinated organization of multiple behaviors (3-5). Although several sophisticated approaches for automated behavioral data collection and home cage monitoring exist, they do not employ algorithms that quantitatively capture the rich temporal and spatial structure of diverse behaviors that occur over multiple time scales (1,(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19).As a first step in examining this structure, we made use of the observation that in natural environments animals typically alternate between two major discrete states, active and inactive (20)(21)(22). During active states (ASs), animals engage in behaviors such as foraging and patrolling within a regularly traversed home range. During inactive states (ISs), animals return to a refuge (nest, burrow, or home base) and engage in behaviors such as rest and sleep (23-26). These...

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“…Advancements in technologies that allow for remote capture of these data make the conduct of such studies more and more feasible for clinical researchers. The integration of ambulatory measurement of biomarkers, such as cortisol, and the use of “biosensors” (i.e., instruments that record physiological or motor activity) provide useful data on onset, intensity, duration, and time course of physiological facets of behavior and causal and non-causal relationships between the environment, behavior, cognition, and physiology in natural settings (Haynes & Yoshioka, 2007). …”

Section: Discussionmentioning

confidence: 99%

Association of daily stressors and salivary cortisol in spinal cord injury.

Kalpakjian¹,

Farrell²,

Albright³

et al. 2009

Rehabilitation Psychology

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Objective-Examine the diurnal variation of salivary cortisol in adults with spinal cord injury (SCI) and the effect of stressors on cortisol and mood.Method-Ecological momentary assessment (EMA) to capture cortisol, stress and mood from 25 persons with SCI and 26 without SCI. Data were analyzed using linear mixed models.Results-There were no systematic differences between groups on missing data. Diurnal variation of cortisol of participants with SCI reflected an expected pattern. No significant group differences for cortisol diurnal pattern, stress or mood; when group interactions were significant, results indicated lower cortisol reactivity to stress in participants with SCI. Stress had a significant impact on positive, negative and agitated moods.Conclusions-Stress in daily life and its association with cortisol and mood were largely similar between persons with and without SCI. A key methodological contribution is the demonstration of using EMA to collect biological and behavioral data in the field from participants with SCI. The use of EMA in rehabilitation psychology research has great potential to advance our understanding of the dynamics of daily life with disability.

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Clinical assessment applications of ambulatory biosensors.

Cited by 26 publications

References 58 publications

Developmental validation of a point-of-care, salivary α-amylase biosensor

Developmental validation of a point-of-care, salivary α-amylase biosensor

A robust automated system elucidates mouse home cage behavioral structure

Association of daily stressors and salivary cortisol in spinal cord injury.

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