Exoplanet Biosignatures: Understanding Oxygen as a Biosignature in the Context of Its Environment

Here we review how environmental context can be used to interpret whether O2 is a biosignature in extrasolar planetary observations. This paper builds on the overview of current biosignature research discussed in Schwieterman et al. (2017), and provides an in-depth, interdisciplinary example of biosignature identification and observation that serves as a basis for the development of the general framework for biosignature assessment described in Catling et al., (2017). O2 is a potentially strong biosignature that was originally thought to be an unambiguous indicator for life at high-abundance. We describe the coevolution of life with the early Earth's environment, and how the interplay of sources and sinks in the planetary environment may have resulted in suppression of O2 release into the atmosphere for several billion years, a false negative for biologically generated O2. False positives may also be possible, with recent research showing potential mechanisms in exoplanet environments that may generate relatively high abundances of atmospheric O2 without a biosphere being present. These studies suggest that planetary characteristics that may enhance false negatives should be considered when selecting targets for biosignature searches. Similarly our ability to interpret O2 observed in an exoplanetary atmosphere is also crucially dependent on environmental context to rule out false positive mechanisms. We describe future photometric, spectroscopic and time-dependent observations of O2 and the planetary environment that could increase our confidence that any observed O2 is a biosignature, and help discriminate it from potential false positives. By observing and understanding O2 in its planetary context we can increase our confidence in the remote detection of life, and provide a model for biosignature development for other proposed biosignatures.Comment: 55 pages. The paper is the second in a series of 5 review manuscripts of the NExSS Exoplanet Biosignatures Workshop. Community commenting is solicited at https://nexss.info/groups/ebww

Evaluation of tentorial length and angle in sleep-wake disturbances after mild traumatic brain injury

OBJECTIVE: The purpose of this study was to determine if there is an association between tentorial length and angle and sleep-wake disturbances in patients with mild traumatic brain injury (TBI). MATERIALS AND METHODS: MRI examinations of the brain of 34 consecutive patients with mild TBI with sleep-wake disturbance and 30 patients with mild TBI without sleep-wake disturbance were retrospectively reviewed. The length of the tentorium on a sagittal T1-weighted image (tentorial length) and the angle formed between the tentorium and a line through the foramen magnum (tentorial angle) were measured. Results were correlated with both neuropsychologic testing and any sleep-wake disturbance. RESULTS: No significant difference existed between patients with and without sleep-wake disturbances in terms of age (p=0.44), sex (p=0.13), Immediate Post-Concussion Assessment Cognitive Test total symptom score (p=0.10), verbal memory score (p=0.32), visual memory score (p=0.31), processing speed (p=0.15), or reaction time (p=0.84). Tentorial length in patients with mild TBI with sleep-wake disturbances was significantly longer than patients with mild TBI without sleep-wake disturbances (p\u3c0.01), and tentorial angle was significantly smaller (p\u3c0.01). Tentorial angle was inversely correlated with length of time to recovery (p=0.002), and tentorial length was directly correlated with length of time to recovery (p\u3c0.001). CONCLUSION: Among patients with mild TBI with similar cognitive function and symptom severity, those with sleep-wake disturbances have significantly longer tentorial length with a flatter angle than do patients with mild TBI without sleep symptoms, with length of time to recovery being directly correlated with tentorial length and indirectly correlated with tentorial angle. Direct impact between the tentorium and the pineal gland during mild TBI may lead to pineal gland injury, disruption of melatonin homeostasis, and sleep-wake disturbances

Symptomatic white matter changes in mild traumatic brain injury resemble pathologic features of early Alzheimer dementia

PURPOSE: To evaluate white matter integrity in patients with mild traumatic brain injury (TBI) who did not have morphologic abnormalities at conventional magnetic resonance (MR) imaging with diffusion-tensor imaging to determine any relationship between patterns of white matter injury and severity of postconcussion symptoms. MATERIALS AND METHODS: The institutional review board approved this study, with waiver of informed consent. Diffusion-tensor images from 64 consecutive patients with mild TBI obtained with conventional MR imaging were evaluated retrospectively. Fractional anisotropy (FA) maps were generated as a measure of white matter integrity. All patients underwent a neurocognitive evaluation. Correlations between skeletonized FA values in white matter, total concussion symptom score, and findings of sleep and wake disturbances were analyzed with regression analysis that used tract-based spatial statistics. RESULTS: Total concussion symptom scores varied from 2 to 97 (mean ± standard deviation, 32.7 ± 24.4), with 34 patients demonstrating sleep and wake disturbances. Tract-based spatial statistics showed a significant correlation between high total concussion symptom score and reduced FA at the gray matter-white matter junction (P \u3c .05), most prominently in the auditory cortex (P \u3c .05). FA in the parahippocampal gyri was significantly decreased in patients with sleep and wake disturbances relative to patients without such disturbances (0.26 and 0.37, respectively; P \u3c .05). CONCLUSION: The distribution of white matter abnormalities in patients with symptomatic mild TBI is strikingly similar to the distribution of pathologic abnormalities in patients with early Alzheimer dementia, a finding that may help direct research strategies

Sex differences in white matter abnormalities after mild traumatic brain injury: localization and correlation with outcome

PURPOSE: To evaluate sex differences in diffusion-tensor imaging (DTI) white matter abnormalities after mild traumatic brain injury (mTBI) using tract-based spatial statistics (TBSS) and to compare associated clinical outcomes. MATERIALS AND METHODS: The institutional review board approved this study, with waiver of informed consent. DTI in 69 patients with mTBI (47 male and 22 female patients) and 21 control subjects (10 male and 11 female subjects) with normal conventional magnetic resonance (MR) images were retrospectively reviewed. Fractional anisotropy (FA) maps were generated as a measure of white matter integrity. Patients with mTBI underwent serial neurocognitive testing with Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT). Correlation between sex, white matter FA values, ImPACT scores, and time to symptom resolution (TSR) were analyzed with multivariate analysis and TBSS. RESULTS: No significant difference in age was seen between males and females (control subjects, P = .3; patients with mTBI, P = .34). No significant difference was seen in initial ImPACT symptom scores (P = .33) between male and female patients with mTBI. Male patients with mTBI had significantly decreased FA values in the uncinate fasciculus (UF) bilaterally (mean FA, 0.425; 95% confidence interval: 0.375, 0.476) compared with female patients with mTBI and control subjects (P \u3c .05), with a significantly longer TSR (P = .04). Multivariate analysis showed sex and UF FA values independently correlated with TSR longer than 3 months (adjusted odds ratios, 2.27 and 2.38; P = .04 and P \u3c .001, respectively), but initial symptom severity did not (adjusted odds ratio, 1.15; P = .35). CONCLUSION: Relative sparing of the UF is seen in female compared with male patients after mTBI, with sex and UF FA values as stronger predictors of TSR than initial symptom severity

Detection of central white matter injury underlying vestibulopathy after mild traumatic brain injury

PURPOSE: To determine if central axonal injury underlies vestibulopathy and ocular convergence insufficiency after mild traumatic brain injury (TBI) by using tract-based spatial statistics (TBSS) analysis of diffusion-tensor imaging (DTI). MATERIALS AND METHODS: The institutional review board approved this study, and the requirement to obtain informed consent was waived. Diffusion-tensor images were retrospectively reviewed in 30 patients with mild TBI and vestibular symptoms and 25 patients with mild TBI and ocular convergence insufficiency. Control subjects consisted of 39 patients with mild TBI without vestibular abnormalities and 17 patients with mild TBI and normal ocular convergence. Fractional anisotropy (FA) maps were generated as a measure of white matter integrity and were analyzed with TBSS regression analysis by using a general linear model. DTI abnormalities were correlated with symptom severity, neurocognitive test scores, and time to recovery with the Pearson correlation coefficient. RESULTS: Compared with control subjects, patients with mild TBI and vestibular symptoms had decreased neurocognitive test scores (P \u3c .05) and FA values in the cerebellum and fusiform gyri (P \u3c .05). Patients with ocular convergence insufficiency had diminished neurocognitive test scores (P \u3c .05) and FA values in the right anterior thalamic radiation and right geniculate nucleus optic tracts (P \u3c .0001). Cerebellar injury showed an inverse correlation with recovery time (R = -0.410, P = .02). Anterior thalamic radiation injury showed correlation with decreased processing speed (R = 0.402, P \u3c .05). CONCLUSION: DTI findings in patients with mild TBI and vestibulopathy support the hypothesis that posttraumatic vestibulopathy has a central axonal injury component. Peripheral vestibular structures were not assessed, and a superimposed peripheral contribution may exist. DTI evaluation of central vestibular structures may provide a diagnostic imaging tool in these patients and a quantitative biomarker to aid in prognosis

Exoplanet Biosignatures: Understanding Oxygen as a Biosignature in the Context of Its Environment.

We describe how environmental context can help determine whether oxygen (O2) detected in extrasolar planetary observations is more likely to have a biological source. Here we provide an in-depth, interdisciplinary example of O2 biosignature identification and observation, which serves as the prototype for the development of a general framework for biosignature assessment. Photosynthetically generated O2 is a potentially strong biosignature, and at high abundance, it was originally thought to be an unambiguous indicator for life. However, as a biosignature, O2 faces two major challenges: (1) it was only present at high abundance for a relatively short period of Earths history and (2) we now know of several potential planetary mechanisms that can generate abundant O2 without life being present. Consequently, our ability to interpret both the presence and absence of O2 in an exoplanetary spectrum relies on understanding the environmental context. Here we examine the coevolution of life with the early Earths environment to identify how the interplay of sources and sinks may have suppressed O2 release into the atmosphere for several billion years, producing a false negative for biologically generated O2. These studies suggest that planetary characteristics that may enhance false negatives should be considered when selecting targets for biosignature searches. We review the most recent knowledge of false positives for O2, planetary processes that may generate abundant atmospheric O2 without a biosphere. We provide examples of how future photometric, spectroscopic, and time-dependent observations of O2 and other aspects of the planetary environment can be used to rule out false positives and thereby increase our confidence that any observed O2 is indeed a biosignature. These insights will guide and inform the development of future exoplanet characterization missions. Key Words: Biosignatures-Oxygenic photosynthesis-Exoplanets-Planetary atmospheres. Astrobiology 18, 630-662

Exoplanet Biosignatures: Understanding Oxygen as a Biosignature in the Context of Its Environment

Here we review how environmental context can be used to interpret whether O2 is a biosignature in extrasolar planetary observations. This paper builds on the overview of current biosignature research discussed in Schwieterman et al. (2017), and provides an in-depth, interdisciplinary example of biosignature identification and observation that serves as a basis for the development of the general framework for biosignature assessment described in Catling et al., (2017). O2 is a potentially strong biosignature that was originally thought to be an unambiguous indicator for life at high-abundance. We describe the coevolution of life with the early Earth's environment, and how the interplay of sources and sinks in the planetary environment may have resulted in suppression of O2 release into the atmosphere for several billion years, a false negative for biologically generated O2. False positives may also be possible, with recent research showing potential mechanisms in exoplanet environments that may generate relatively high abundances of atmospheric O2 without a biosphere being present. These studies suggest that planetary characteristics that may enhance false negatives should be considered when selecting targets for biosignature searches. Similarly our ability to interpret O2 observed in an exoplanetary atmosphere is also crucially dependent on environmental context to rule out false positive mechanisms. We describe future photometric, spectroscopic and time-dependent observations of O2 and the planetary environment that could increase our confidence that any observed O2 is a biosignature, and help discriminate it from potential false positives. By observing and understanding O2 in its planetary context we can increase our confidence in the remote detection of life, and provide a model for biosignature development for other proposed biosignatures