1,226 research outputs found
A Mismatch Negativity Study of (A)Grammatical and Meaningful/less Mini- Constructions
Clinical language performance and neurophysiological correlates of language
processing were measured before and after intensive language therapy in
patients with chronic (time post stroke >1 year) post stroke aphasia (PSA). As
event-related potential (ERP) measure, the mismatch negativity (MMN) was
recorded in a distracted oddball paradigm to short spoken sentences. Critical
âdeviantâ sentence stimuli where either well-formed and meaningful, or
syntactically, or lexico-semantically incorrect. After 4 weeks of speech-
language therapy (SLT) delivered with high intensity (10.5 h per week),
clinical language assessment with the Aachen Aphasia Test battery demonstrated
significant linguistic improvements, which were accompanied by enhanced MMN
responses. More specifically, MMN amplitudes to grammatically correct and
meaningful mini-constructions and to âjabberwockyâ sentences containing a
pseudoword significantly increased after therapy. However, no therapy-related
changes in MMN responses to syntactically incorrect strings including
agreement violations were observed. While MMN increases to well-formed
meaningful strings can be explained both at the word and construction levels,
the neuroplastic change seen for âjabberwockyâ sentences suggests an
explanation in terms of constructions. The results confirm previous reports
that intensive SLT leads to improvements of linguistic skills in chronic
aphasia patients and now demonstrate that this clinical improvement is
associated with enhanced automatic brain indexes of construction processing,
although no comparable change is present for ungrammatical strings.
Furthermore, the data confirm that the language-induced MMN is a useful tool
to map functional language recovery in PSA
Sample Size in Natural Language Processing within Healthcare Research
Sample size calculation is an essential step in most data-based disciplines.
Large enough samples ensure representativeness of the population and determine
the precision of estimates. This is true for most quantitative studies,
including those that employ machine learning methods, such as natural language
processing, where free-text is used to generate predictions and classify
instances of text. Within the healthcare domain, the lack of sufficient corpora
of previously collected data can be a limiting factor when determining sample
sizes for new studies. This paper tries to address the issue by making
recommendations on sample sizes for text classification tasks in the healthcare
domain.
Models trained on the MIMIC-III database of critical care records from Beth
Israel Deaconess Medical Center were used to classify documents as having or
not having Unspecified Essential Hypertension, the most common diagnosis code
in the database. Simulations were performed using various classifiers on
different sample sizes and class proportions. This was repeated for a
comparatively less common diagnosis code within the database of diabetes
mellitus without mention of complication.
Smaller sample sizes resulted in better results when using a K-nearest
neighbours classifier, whereas larger sample sizes provided better results with
support vector machines and BERT models. Overall, a sample size larger than
1000 was sufficient to provide decent performance metrics.
The simulations conducted within this study provide guidelines that can be
used as recommendations for selecting appropriate sample sizes and class
proportions, and for predicting expected performance, when building classifiers
for textual healthcare data. The methodology used here can be modified for
sample size estimates calculations with other datasets.Comment: Submitted to Journal of Biomedical Informatic
Increased recruitment of domain general neural networks in language processing following Intensive Language-Action Therapy â fMRI evidence from people with chronic aphasia.
Purpose:
The present study aimed to provide novel insights into the neural correlates of language improvement following Intensive Language Action Therapy (ILAT; also known as Constraint Induced Aphasia Therapy, CIAT).
Method:
Sixteen people with chronic aphasia underwent clinical aphasia assessment (Aachen Aphasia Test, AAT), as well as functional magnetic resonance imaging (fMRI), both administered before (T1) and after ILAT (T2). The fMRI task included passive reading of single written words, with hashmark strings as visual baseline.
Results:
Behavioral results indicated significant improvements of AAT scores across therapy and fMRI results showed T2âT1 blood oxygenation level dependent (BOLD) signal change in the left precuneus to be modulated by the degree of AAT score increase. Subsequent region-of-interest (ROI) analysis of this precuneus cluster confirmed a positive correlation of T2âT1 BOLD signal change and improvement on the clinical aphasia test. Similarly, the entire default mode network (DMN) revealed a positive correlation between T2âT1 BOLD signal change and clinical language improvement.
Conclusion:
These results are consistent with a more efficient recruitment of domain general neural networks in language processing, including those involved in attentional control, following aphasia therapy with ILAT.This work was supported by the Deutsche Forschungsgemeinschaft (pu 97/15-1 and 97/15-2 awarded to F. P.), the Deutsche Akademische Austauschdienst (fellowship to G. L.), and the Einstein Center for Neuroscience Berlin (fellowship awarded to L. D.
Communicative-Pragmatic Assessment Is Sensitive and Time-Effective in Measuring the Outcome of Aphasia Therapy
A range of methods in clinical research aim to assess treatment-induced
progress in aphasia therapy. Here, we used a crossover randomized controlled
design to compare the suitability of utterance-centered and dialogue-sensitive
outcome measures in speech-language testing. Fourteen individuals with post-
stroke chronic non-fluent aphasia each received two types of intensive
training in counterbalanced order: conventional confrontation naming, and
communicative-pragmatic speech-language therapy (Intensive Language-Action
Therapy, an expanded version of Constraint-Induced Aphasia Therapy). Motivated
by linguistic-pragmatic theory and neuroscience data, our dependent variables
included a newly created diagnostic instrument, the Action Communication Test
(ACT). This diagnostic instrument requires patients to produce target words in
two conditions: (i) utterance-centered object naming, and (ii) communicative-
pragmatic social interaction based on verbal requests. In addition, we
administered a standardized aphasia test battery, the Aachen Aphasia Test
(AAT). Composite scores on the ACT and the AAT revealed similar patterns of
changes in language performance over time, irrespective of the treatment
applied. Changes in language performance were relatively consistent with the
AAT results also when considering both ACT subscales separately from each
other. However, only the ACT subscale evaluating verbal requests proved to be
successful in distinguishing between different types of training in our
patient sample. Critically, testing duration was substantially shorter for the
entire ACT (10â20 min) than for the AAT (60â90 min). Taken together, the
current findings suggest that communicative-pragmatic methods in speech-
language testing provide a sensitive and time-effective measure to determine
the outcome of aphasia therapy
Effects of Lumacaftor/Ivacaftor on Cystic Fibrosis Disease Progression in Children 2 through 5 Years of Age Homozygous for F508del-CFTR: A Phase 2 Placebo-controlled Clinical Trial.
RATIONALE
Lumacaftor/ivacaftor (LUM/IVA) was shown to be safe and well tolerated in children 2 through 5 years of age with cystic fibrosis (CF) homozygous for F508del-CFTR in a phase 3 open-label study. Improvements in sweat chloride concentration, markers of pancreatic function, and lung clearance index2.5 (LCI2.5), along with increases in growth parameters, suggested the potential for early disease modification with LUM/IVA treatment.
OBJECTIVE
To further assess the effects of LUM/IVA on CF disease progression in children 2 through 5 years of age using chest magnetic resonance imaging (MRI).
METHODS
This phase 2 study had two parts: a 48-week, randomized, double-blind, placebo-controlled treatment period in which children 2 through 5 years of age with CF homozygous for F508del-CFTR received either LUM/IVA or placebo (Part 1) followed by an open-label period in which all children received LUM/IVA for an additional 48 weeks (Part 2). We report results from Part 1. The primary endpoint was absolute change from baseline in chest MRI global score at Week 48. Secondary endpoints included absolute change in LCI2.5 through Week 48 and absolute changes in weight-for-age, stature-for-age, and body mass index-for-age z-scores at Week 48. Additional endpoints included absolute changes in sweat chloride concentration, fecal elastase-1 levels, serum immunoreactive trypsinogen, and fecal calprotectin through Week 48. The primary endpoint was analyzed using Bayesian methods, where the actual Bayesian posterior probability of LUM/IVA being superior to placebo in the MRI global chest score at Week 48 was calculated using a vague normal prior distribution; secondary and additional endpoints were analyzed using descriptive summary statistics.
RESULTS
Fifty-one children were enrolled and received LUM/IVA (n=35) or placebo (n=16). For the change in MRI global chest score at Week 48, the Bayesian posterior probability of LUM/IVA being better than placebo (treatment difference <0; higher score indicating greater abnormality) was 76%; the mean treatment difference was -1.5 (95% credible interval, -5.5 to 2.6). Treatment with LUM/IVA also led to within-group numerical improvements in LCI2.5, growth parameters, and biomarkers of pancreatic function as well as greater decreases in sweat chloride concentration compared with placebo from baseline through Week 48. Safety data were consistent with the established safety profile of LUM/IVA.
CONCLUSIONS
This placebo-controlled study suggests the potential for early disease modification with LUM/IVA treatment, including that assessed by chest MRI, in children as young as 2 years. Clinical trial registered with ClinicalTrials.gov (NCT03625466)
The tomato receptor CuRe1 senses a cell wall protein to identify Cuscuta as a pathogen
Parasitic plants of the genus Cuscuta penetrate shoots of host plants with haustoria and build a connection to the host vasculature to exhaust water, solutes and carbohydrates. Such infections usually stay unrecognized by the host and lead to harmful host plant damage. Here, we show a molecular mechanism of how plants can sense parasitic Cuscuta. We isolated an 11 kDa protein of the parasite cell wall and identified it as a glycine-rich protein (GRP). This GRP, as well as its minimal peptide epitope Crip21, serve as a pathogen-associated molecular pattern and specifically bind and activate a membrane-bound immune receptor of tomato, the Cuscuta Receptor 1 (CuRe1), leading to defense responses in resistant hosts. These findings provide the initial steps to understand the resistance mechanisms against parasitic plants and further offer great potential for protecting crops by engineering resistance against parasitic plants
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Retardation of arsenic transport through a Pleistocene aquifer
Groundwater drawn daily from shallow alluvial sands by millions of wells over large areas of south and southeast Asia exposes an estimated population of over a hundred million people to toxic levels of arsenic. Holocene aquifers are the source of widespread arsenic poisoning across the region. In contrast, Pleistocene sands deposited in this region more than 12,000 years ago mostly do not host groundwater with high levels of arsenic. Pleistocene aquifers are increasingly used as a safe source of drinking water and it is therefore important to understand under what conditions low levels of arsenic can be maintained. Here we reconstruct the initial phase of contamination of a Pleistocene aquifer near Hanoi, Vietnam. We demonstrate that changes in groundwater flow conditions and the redox state of the aquifer sands induced by groundwater pumping caused the lateral intrusion of arsenic contamination more than 120 metres from a Holocene aquifer into a previously uncontaminated Pleistocene aquifer. We also find that arsenic adsorbs onto the aquifer sands and that there is a 16â20-fold retardation in the extent of the contamination relative to the reconstructed lateral movement of groundwater over the same period. Our findings suggest that arsenic contamination of Pleistocene aquifers in south and southeast Asia as a consequence of increasing levels of groundwater pumping may have been delayed by the retardation of arsenic transport
A Systematic Approach to Multiple Breath Nitrogen Washout Test Quality
Background: Accurate estimates of multiple breath washout (MBW) outcomes require correct operation of the device, appropriate distraction of the subject to ensure they breathe in a manner representative of their relaxed tidal breathing pattern, and appropriate interpretation of the acquired data. Based on available recommendations for an acceptable MBW test, we aimed to develop a protocol to systematically evaluate MBW measurements based on these criteria. Methods: 50MBWtest occasions were systematically reviewed for technical elements and whether the breathing pattern was representative of relaxed tidal breathing by an experienced MBW operator. The impact of qualitative and quantitative criteria on inter-observer agreement was assessed across eight MBW operators (n = 20 test occasions, compared using a Kappa statistic). Results: Using qualitative criteria, 46/168 trials were rejected: 16.6%were technically unacceptable and 10.7% were excluded due to inappropriate breathing pattern. Reviewer agreement was good using qualitative criteria and further improved with quantitative criteria from (Îș = 0.53â 0.83%) to (Îș 0.73â0.97%), but at the cost of exclusion of further test occasions in this retrospective data analysis. Conclusions: The application of the systematic review improved inter-observer agreement but did not affect reported MBW outcomes
Supine posture changes lung volumes and increases ventilation heterogeneity in cystic fibrosis
INTRODUCTION: Lung Clearance Index (LCI) is recognised as an early marker of cystic fibrosis (CF) lung disease. The effect of posture on LCI however is important when considering longitudinal measurements from infancy and when comparing LCI to imaging studies. METHODS: 35 children with CF and 28 healthy controls (HC) were assessed. Multiple breath washout (MBW) was performed both sitting and supine in triplicate and analysed for LCI, Scond, Sacin, and lung volumes. These values were also corrected for the Fowler dead-space to create 'alveolar' indices. RESULTS: From sitting to supine there was a significant increase in LCI and a significant decrease in FRC for both CF and HC (p<0.01). LCI, when adjusted to estimate 'alveolar' LCI (LCIalv), increased the magnitude of change with posture for both LCIalv and FRCalv in both groups, with a greater effect of change in lung volume in HC compared with children with CF. The % change in LCIalv for all subjects correlated significantly with lung volume % changes, most notably tidal volume/functional residual capacity (Vtalv/FRCalv (r = 0.54,p<0.001)). CONCLUSION: There is a significant increase in LCI from sitting to supine, which we believe to be in part due to changes in lung volume and also increasing ventilation heterogeneity related to posture. This may have implications in longitudinal measurements from infancy to older childhood and for studies comparing supine imaging methods to LCI
Retinal Vascular Occlusion after COVID-19 Vaccination : More Coincidence than Causal Relationship? Data from a Retrospective Multicentre Study
Background: To investigate whether vaccination against SARS-CoV-2 is associated with
the onset of retinal vascular occlusive disease (RVOD). Methods: In this multicentre study, data
from patients with central and branch retinal vein occlusion (CRVO and BRVO), central and branch
retinal artery occlusion (CRAO and BRAO), and anterior ischaemic optic neuropathy (AION) were
retrospectively collected during a 2-month index period (1 Juneâ31 July 2021) according to a defined
protocol. The relation to any previous vaccination was documented for the consecutive case series.
Numbers of RVOD and COVID-19 vaccination were investigated in a case-by-case analysis. A caseâ
control study using age- and sex-matched controls from the general population (study participants
from the Gutenberg Health Study) and an adjusted conditional logistic regression analysis was
conducted. Results: Four hundred and twenty-one subjects presenting during the index period
(61 days) were enrolled: one hundred and twenty-one patients with CRVO, seventy-five with BRVO,
fifty-six with CRAO, sixty-five with BRAO, and one hundred and four with AION. Three hundred
and thirty-two (78.9%) patients had been vaccinated before the onset of RVOD. The vaccines given
were BNT162b2/BioNTech/Pfizer (n = 221), followed by ChadOx1/AstraZeneca (n = 57), mRNA1273/Moderna (n = 21), and Ad26.COV2.S/Johnson & Johnson (n = 11; unknown n = 22). Our
caseâcontrol analysis integrating population-based data from the GHS yielded no evidence of an
increased risk after COVID-19 vaccination (OR = 0.93; 95% CI: 0.60â1.45, p = 0.75) in connection with
a vaccination within a 4-week window. Conclusions: To date, there has been no evidence of any
association between SARS-CoV-2 vaccination and a higher RVOD risk
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