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Resilience, science, technology, engineering, and mathematics (STEM), and anger: A linguistic inquiry into the psychological processes associated with resilience in secondary school STEM learning. ...
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The role of hypertension and diabetes mellitus on the etiology of middle cerebral artery disease
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In: Brain Behav (2022)
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Differential Effects of Speech and Language Therapy and rTMS in Chronic Versus Subacute Post-stroke Aphasia: Results of the NORTHSTAR-CA Trial
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In: Neurorehabil Neural Repair (2022)
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Community pharmacists workforce readiness to deliver vaccination services: A cross‐sectional study from Jordan
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In: Pharmacol Res Perspect (2022)
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An Entangled Pedagogy: Looking Beyond the Pedagogy—Technology Dichotomy
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In: Postdigit Sci Educ (2022)
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Medical students' perceptions of emergency medical care before and during the coronavirus disease 2019 pandemic
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In: Acute Med Surg (2022)
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On the evolution of the COVID-19 epidemiological parameters using only the series of deceased. A study of the Spanish outbreak using Genetic Algorithms
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In: Math Comput Simul (2022)
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| 8 |
Impaired tongue motor control after temporomandibular disorder: A proof‐of‐concept case‐control study of tongue print
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In: Clin Exp Dent Res (2022)
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| 9 |
Intensive phototherapy vs. exchange transfusion for the treatment of neonatal hyperbilirubinemia: a multicenter retrospective cohort study
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In: Chin Med J (Engl) (2022)
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| 10 |
Continuities in State–Society Interactions across Broad Spatio-temporal Realms: Gong Tingxian as Both an Author of Popular Medical Texts and an Imperial Medical Secretary in Early Modern China
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In: Soc Hist Med (2022)
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| 11 |
Children born during the hunger season are at a higher risk of severe acute malnutrition: Findings from a Guinea Sahelian ecological zone in Northern Ghana
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In: Matern Child Nutr (2022)
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‘I hated being ghosted’ – The relevance of social participation for living well with post‐stroke aphasia: Qualitative interviews with working aged adults
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In: Health Expect (2021)
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| 14 |
Epidemiology of Traumatic Brain Injury in Europe: A Living Systematic Review
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In: J Neurotrauma (2021)
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| 15 |
A Bayesian optimization approach for rapidly mapping residual network function in stroke
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In: Brain (2021)
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Abstract:
Post-stroke cognitive and linguistic impairments are debilitating conditions, with limited therapeutic options. Domain-general brain networks play an important role in stroke recovery and characterizing their residual function with functional MRI has the potential to yield biomarkers capable of guiding patient-specific rehabilitation. However, this is challenging as such detailed characterization requires testing patients on multitudes of cognitive tasks in the scanner, rendering experimental sessions unfeasibly lengthy. Thus, the current status quo in clinical neuroimaging research involves testing patients on a very limited number of tasks, in the hope that it will reveal a useful neuroimaging biomarker for the whole cohort. Given the great heterogeneity among stroke patients and the volume of possible tasks this approach is unsustainable. Advancing task-based functional MRI biomarker discovery requires a paradigm shift in order to be able to swiftly characterize residual network activity in individual patients using a diverse range of cognitive tasks. Here, we overcome this problem by leveraging neuroadaptive Bayesian optimization, an approach combining real-time functional MRI with machine-learning, by intelligently searching across many tasks, this approach rapidly maps out patient-specific profiles of residual domain-general network function. We used this technique in a cross-sectional study with 11 left-hemispheric stroke patients with chronic aphasia (four female, age ± standard deviation: 59 ± 10.9 years) and 14 healthy, age-matched control subjects (eight female, age ± standard deviation: 55.6 ± 6.8 years). To assess intra-subject reliability of the functional profiles obtained, we conducted two independent runs per subject, for which the algorithm was entirely reinitialized. Our results demonstrate that this technique is both feasible and robust, yielding reliable patient-specific functional profiles. Moreover, we show that group-level results are not representative of patient-specific results. Whereas controls have highly similar profiles, patients show idiosyncratic profiles of network abnormalities that are associated with behavioural performance. In summary, our study highlights the importance of moving beyond traditional ‘one-size-fits-all’ approaches where patients are treated as one group and single tasks are used. Our approach can be extended to diverse brain networks and combined with brain stimulation or other therapeutics, thereby opening new avenues for precision medicine targeting a diverse range of neurological and psychiatric conditions.
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Keyword:
Original Articles
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33725125
https://doi.org/10.1093/brain/awab109
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370405/
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| 16 |
Crossed cerebellar diaschisis on (18)F-FDG PET: Frequency across neurodegenerative syndromes and association with (11)C-PIB and (18)F-Flortaucipir
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In: J Cereb Blood Flow Metab (2021)
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| 17 |
Long-term written language experience affects grammaticality judgements and usage but not priming of spoken sentences
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In: Q J Exp Psychol (Hove) (2021)
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| 18 |
Predictability effects and parafoveal processing of compound words in natural Chinese reading
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In: Q J Exp Psychol (Hove) (2021)
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| 19 |
Processing symbolic magnitude information conveyed by number words and by scalar adjectives
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In: Q J Exp Psychol (Hove) (2021)
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| 20 |
Occupational Therapists as Social Change Agents: Exploring Factors that Influence Their Actions
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In: Can J Occup Ther (2021)
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