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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. ...
Hall, Sophie S; McGill, Ross Morrison; Puttick, Steven. - : Apollo - University of Cambridge Repository, 2022
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2
How bilingualism modulates selective attention in children ...
Phelps, Jacqueline; Attaheri, Adam; Bozic, Mirjana. - : Apollo - University of Cambridge Repository, 2022
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3
Cambridge Psycholinguistic Inventory of Christian Beliefs: A registered report of construct validity, internal consistency and test-retest reliability. ...
Clackson, Kaili; Pohran, Nadya; Galli, Riccardo M. - : Apollo - University of Cambridge Repository, 2022
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4
ЗНАЧЕНИЕ НАУЧНО-ПОПУЛЯРНОЙ СТАТЬИ ... : THE IMPORTANCE OF A POPULAR SCIENTIFIC ARTICLE ...
Кузибаева, Р.Ш.. - : Oriental renaissance: Innovative, educational, natural and social sciences, 2022
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5
Lifelong bilingualism and mechanisms of neuroprotection in Alzheimer dementia. ...
Sala, Arianna; Malpetti, Maura; Farsad, Mohsen. - : Apollo - University of Cambridge Repository, 2022
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6
Optionality in the Expression of Indefiniteness: A Pilot Study on Piacentine
In: Languages; Volume 7; Issue 2; Pages: 99 (2022)
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7
Approximate Entropy in Canonical and Non-Canonical Fiction
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8
This might be the PLACE. Spelling out a covert D in Fodom spatial PPs
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9
Speech Entrainment Improves Connectivity Between Anterior and Posterior Cortical Speech Areas in Non-Fluent Aphasia
In: Neurorehabil Neural Repair (2022)
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10
Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring
In: Neuroimage Clin (2022)
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11
Human drone interaction in delivery of medical supplies: A scoping review of experimental studies
In: PLoS One (2022)
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12
Neuroanatomical correlations of visuospatial processing in primary progressive aphasia
In: Brain Commun (2022)
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13
Tractography of supplementary motor area projections in progressive speech apraxia and aphasia
In: Neuroimage Clin (2022)
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14
Factors determining the need for general anesthesia to deliver dental treatment for adults with intellectual and developmental disabilities
In: Saudi J Anaesth (2022)
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15
Secondary Stroke Risk Reduction in Black Adults: a Systematic Review
In: J Racial Ethn Health Disparities (2022)
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16
Regional Alteration within the Cerebellum and the Reorganization of the Cerebrocerebellar System following Poststroke Aphasia
In: Neural Plast (2022)
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17
Neural correlates of impaired vocal feedback control in post-stroke aphasia
In: Neuroimage (2022)
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18
Aphasia recovery by language training using a brain–computer interface: a proof-of-concept study
In: Brain Commun (2022)
Abstract: Aphasia, the impairment to understand or produce language, is a frequent disorder after stroke with devastating effects. Conventional speech and language therapy include each formal intervention for improving language and communication abilities. In the chronic stage after stroke, it is effective compared with no treatment, but its effect size is small. We present a new language training approach for the rehabilitation of patients with aphasia based on a brain–computer interface system. The approach exploits its capacity to provide feedback time-locked to a brain state. Thus, it implements the idea that reinforcing an appropriate language processing strategy may induce beneficial brain plasticity. In our approach, patients perform a simple auditory target word detection task whilst their EEG was recorded. The constant decoding of these signals by machine learning models generates an individual and immediate brain-state-dependent feedback. It indicates to patients how well they accomplish the task during a training session, even if they are unable to speak. Results obtained from a proof-of-concept study with 10 stroke patients with mild to severe chronic aphasia (age range: 38–76 years) are remarkable. First, we found that the high-intensity training (30 h, 4 days per week) was feasible, despite a high-word presentation speed and unfavourable stroke-induced EEG signal characteristics. Second, the training induced a sustained recovery of aphasia, which generalized to multiple language aspects beyond the trained task. Specifically, all tested language assessments (Aachen Aphasia Test, Snodgrass & Vanderwart, Communicative Activity Log) showed significant medium to large improvements between pre- and post-training, with a standardized mean difference of 0.63 obtained for the Aachen Aphasia Test, and five patients categorized as non-aphasic at post-training assessment. Third, our data show that these language improvements were accompanied neither by significant changes in attention skills nor non-linguistic skills. Investigating possible modes of action of this brain–computer interface-based language training, neuroimaging data (EEG and resting-state functional MRI) indicates a training-induced faster word processing, a strengthened language network and a rebalancing between the language- and default mode networks.
Keyword: Original Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846581/
https://doi.org/10.1093/braincomms/fcac008
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19
Diminished preparatory physiological responses in frontotemporal lobar degeneration syndromes
In: Brain Commun (2022)
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20
The Recovery Mechanism of Standardized Aphasia in Intelligent Medical Treatment
In: Contrast Media Mol Imaging (2022)
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