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Background: Women account for two thirds of the prevalence and incidence of Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Evidence suggest that sex may differently influence the expression of proteins amyloid-beta (Aβ1–42) and tau, for which early detection is crucial in prevention of the disease. Objective: We investigated the effect of aging and cerebrospinal fluid (CSF) levels of Aβ1–42 and tau on frontal metabolites measured with proton magnetic resonance spectroscopy (MRS) in a cohort of cognitively normal older women and women with MCI. Methods: 3T single-voxel MRS was performed on the medial frontal cortex, using Point Resolved Spectroscopy (PRESS) and Mescher-Garwood Point Resolved Spectroscopy (MEGA-PRESS) in 120 women (age range 50–85). CSF samples of Aβ1–42 and tau and scores of general cognition were also obtained. Results: Levels of frontal gamma aminobutyric acid (GABA+) were predicted by age, independently of disease and CSF biomarkers. Importantly, levels of GABA+ were reduced in MCI patients. Additionally, we found that levels of N-acetylaspartate relative to myo-inositol (tNAA/mI) predicted cognition in MCI patients only and were not related to CSF biomarkers. Conclusion: This study is the first to demonstrate a strong association between frontal GABA+ levels and neurological aging in a sample consisting exclusively of healthy older women with various levels of CSF tau and Aβ1–42 and women with MCI. Importantly, our results show no correlation between CSF biomarkers and MRS metabolites in this sample.

Alzheimer’s disease (AD) progresses through a lengthy asymptomatic period during which pathological changes accumulate prior to development of clinical symptoms. As disease-modifying treatments are developed, tools to stratify risk of clinical disease will be required to guide their use. In this study, we examine the relationship of AD biomarkers in healthy middle-aged individuals to health history, family history, and neuropsychological measures and identify cerebrospinal fluid (CSF) biomarkers to stratify risk of progression from asymptomatic to symptomatic AD. CSF from cognitively normal (CN) individuals (N=1149) in the Emory Healthy Brain Study were assayed for Aβ42, total Tau (tTau), and phospho181-Tau (pTau), and a subset of 134 cognitively normal, but biomarker-positive, individuals were identified with asymptomatic AD (AsymAD) based on a locally-determined cutoff value for ratio of tTau to Aβ42. These AsymAD cases were matched for demographic features with 134 biomarker-negative controls (CN/BM-) and compared for differences in medical comorbidities and family history. Dyslipidemia emerged as a distinguishing feature between AsymAD and CN/BM- groups with significant association with personal and family history of dyslipidemia. A weaker relationship was seen with diabetes, but there was no association with hypertension. Examination of the full cohort by median regression revealed a significant relationship of CSF Aβ42 (but not tTau or pTau) with dyslipidemia and diabetes. On neuropsychological tests, CSF Aβ42 was not correlated with performance on any measures, but tTau and pTau were strongly correlated with visuospatial perception and visual episodic memory. In addition to traditional CSF AD biomarkers, a panel of AD biomarker peptides derived from integrating brain and CSF proteomes were evaluated using machine learning strategies to identify a set of 8 peptides that accurately classified CN/BM- and symptomatic AD CSF samples with AUC of 0.982. Using these 8 peptides in a low dimensional t-distributed Stochastic Neighbor Embedding analysis and k-Nearest Neighbor (k=5) algorithm, AsymAD cases were stratified into “Control-like” and “AD-like” subgroups based on their proximity to CN/BM- or AD CSF profiles. Independent analysis of these cases using a Joint Mutual Information algorithm selected a set of 5 peptides with 81% accuracy in stratifying cases into AD-like and Control-like subgroups. Performance of both sets of peptides was evaluated and validated in an independent data set from the Alzheimer’s Disease Neuroimaging Initiative. Based on our findings, we conclude that there is an important role of lipid metabolism in asymptomatic stages of AD. Visuospatial perception and visual episodic memory may be more sensitive than language-based abilities to earliest stages of cognitive decline in AD. Finally, candidate CSF peptides show promise as next generation biomarkers for predicting progression from asymptomatic to symptomatic stages of AD.

Introduction: As stroke survivors transition from acute to post-acute care, and finally to community settings, the Centers for Disease Control reports ~65% receive NO rehabilitation. Even more receive rehabilitation too late, after critical brain changes for recovery are complete. Stroke survivors with invisible disabilities of cognition and depression are especially vulnerable to experience poor recovery. We launched a dedicated process to identify invisible disabilities. Our long-term objective is to make acute and post-acute, evidence-based intervention accessible. Hypothesis: >50% of acute stroke patients have cognitive deficits, or depression. Methods: Our comprehensive stroke center completes bedside psychometric assessment with standardized instruments for aphasia (Language Screening Test, LAST), spatial neglect (Catherine Bergego Scale, CBS), memory/global cognition (Montreal Cognitive Assessment, MoCA), delirium (3-Minute Diagnostic Interview for the Confusion Assessment Method, 3D-CAM) and depression (Patient health questionnaire, PHQ-8). Patients unable to respond to questions are assessed for spatial neglect and delirium (standardized observations). Results: 105 ischemic stroke survivors were assessed in the first quarter of program launch (April-July, 2021). Of that group, patients met screening criteria for spatial neglect (47%), aphasia (40%), delirium (19%) and depression (31%). Over 90% had memory / global cognitive impairment (MoCA Conclusions: Our initiative, which includes systematic acute stroke unit spatial neglect screening, confirmed the previously reported high rate of cognitive disorders and depression (Champod, Eskes, Barrett, 2020). Our current step implements uniform recommendations for patients with deficits, and will examine post-acute outcomes, number receiving rehabilitation and medical follow-up, and treatment disparities (right/left stroke, under-represented groups).

Purpose To compare efficacy and safety of EX-PRESS mini glaucoma shunt (Alcon) and trabeculectomy with mitomycin-C (MMC) in the management of pediatric glaucoma. Methods The authors retrospectively reviewed patients from a single pediatric ophthalmology practice with either congenital or juvenile glaucoma who underwent surgical treatment with either trabeculectomy or EX-PRESS shunt insertion with MMC. Postoperative intraocular pressure at 6, 18, and 36 months, medication requirements, visual acuities, postoperative interventions, complications, and noncompliance with medications or follow-up was reviewed. Results A total of 42 cases of glaucoma with either trabeculectomy or EX-PRESS shunt were identified for review (n trabeculectomy=25, n EX-PRESS=17). At 6 months, 62.5% of trabeculectomies and 94.1% of EX-PRESS shunts met criteria for success (P=0.0281). At 18 months, 38.1% of trabeculectomies and 81.3% of EX-PRESS shunts met criteria for success (P=0.0178). At 36 months, trabeculectomies had a success rate of 33.3% versus 66.7% for EX-PRESS shunts (P=0.321). The average decrease in medications postoperatively was 0.375 and 1.63 for trabeculectomy and EX-PRESS shunt, respectively (P=0.06). Preoperative visual acuities compared with postoperative best-corrected visual acuities before additional surgery demonstrated a slight average worsening of 0.11 logMAR in trabeculectomy patients and an average improvement of 0.56 logMAR in EX-PRESS shunt patients (P=0.0037). Conclusions In this review, patients with pediatric glaucoma managed with EX-PRESS shunt with MMC compared with trabeculectomy with MMC appear to have better intraocular pressure control, better visual acuities, and fewer complications and reoperations.

The objective of this chapter is to outline practical and diagnostic challenges in the clinical neuropsychological evaluation of patients with psychogenic nonepileptic seizures (PNES) and to aid neuropsychologists in developing a consistent decision-making protocol. Challenges outlined include responding to performance validity test (PVT) failures, testing in different clinical environments, medications effects, acute psychological distress, and length of evaluations. Diagnostic challenges related to the neuropsychological evaluation in PNES, including the lack of specificity of cognitive profiles and psychopathological heterogeneity, are discussed. The final focus of the chapter is therapeutic goals of the neuropsychological evaluation, particularly the integration of the neuropsychological findings during the delivery of the PNES diagnosis and promoting cognitive self-efficacy.

FreeLing is an open-source library providing a wide range of language analysis utilities for several different languages. It is intended to provide NLP application developers with any text processing and language annotation tools they may need in order to simplify their development task. Moreover, FreeLing is customizable and extensible. Developers can use the default linguistic resources (dictionaries, lexicons, grammars, etc.), or extend them, adapt to particular domains, or even develop new resources for specific languages. Being open-source has enabled FreeLing to grow far beyond its original capabilities, especially with regard to linguistic data: contributions from its community of users, for instance, include morphological dictionaries and PoS tagger training data for Galician, Italian, Portuguese, Asturian, and Welsh. In this paper we present the basic architecture and the main services in FreeLing, and we outline how developers might use it to build competitive NLP systems and indicate how it might be extended to support the development of Example-Based Machine Translation systems.