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Cortical microstructure in primary progressive aphasia: a multicenter study.
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In: Alzheimer's research & therapy, vol 14, iss 1 (2022)
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Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
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In: Brain Sciences; Volume 12; Issue 2; Pages: 146 (2022)
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Intraoperative Brain Mapping in Multilingual Patients: What Do We Know and Where Are We Going?
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In: Brain Sciences; Volume 12; Issue 5; Pages: 560 (2022)
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An Equivocal SCC Lesion—Antiepileptic-Induced CLOCC
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In: Brain Sciences; Volume 12; Issue 3; Pages: 384 (2022)
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Increased connectivity among sensory and motor regions during visual and audiovisual speech perception
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In: Open Access Publications (2022)
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Neural substrates of verbal repetition deficits in primary progressive aphasia.
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Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers
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In: ISSN: 2052-4463 ; EISSN: 2052-4463 ; Scientific Data ; https://hal.archives-ouvertes.fr/hal-03507532 ; Scientific Data , Nature Publishing Group, 2021, 8 (1), pp.258. ⟨10.1038/s41597-021-01041-3⟩ (2021)
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BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
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BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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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 ...
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Keyword:
Adult; Aged; Bayes Theorem; Brain; Brain Mapping; Female; Humans; Image Interpretation, Computer-Assisted; Machine Learning; Magnetic Resonance Imaging; Male; Middle Aged; Stroke
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URL: https://dx.doi.org/10.17863/cam.63271 https://www.repository.cam.ac.uk/handle/1810/316163
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The Neurobiological Relationship Between Childhood Maltreatment and Major Depressive Disorder (MDD)
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In: Global Tides (2021)
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Age-related differences in the neural bases of phonological and semantic processes in the context of task-irrelevant information.
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Age-related differences in the neural bases of phonological and semantic processes.
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Age-related differences in resolving semantic and phonological competition during receptive language tasks.
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Engagement of Language and Domain General Networks during Word Monitoring in a Native and Unknown Language
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In: Brain Sciences ; Volume 11 ; Issue 8 (2021)
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Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results
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In: Cancers; Volume 13; Issue 24; Pages: 6273 (2021)
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Is Instructional Scaffolding a Better Strategy for Teaching Writing to EFL Learners? A Functional MRI Study in Healthy Young Adults
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In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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Functional Hyperconnectivity during a Stories Listening Task in Magnetoencephalography Is Associated with Language Gains for Children Born Extremely Preterm
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In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
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