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Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
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Language recovery through a two-stage awake surgery in an aphasic patient with a voluminous left fronto-temporo-insular glioma: case report
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In: ISSN: 0001-6268 ; EISSN: 0942-0940 ; Acta Neurochirurgica ; https://hal.archives-ouvertes.fr/hal-03294416 ; Acta Neurochirurgica, Springer Verlag, 2021, 163 (11), pp.3115-3119. ⟨10.1007/s00701-021-04932-x⟩ (2021)
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Human cortical encoding of pitch in tonal and non-tonal languages.
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In: Nature communications, vol 12, iss 1 (2021)
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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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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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Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging
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In: Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1342 (2021)
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Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging ...
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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 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:
Adult; Aged; Bayes Theorem; Brain; Brain Mapping; Computer-Assisted; Female; Humans; Image Interpretation; Machine Learning; Magnetic Resonance Imaging; Male; Middle Aged; Stroke
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URL: https://www.repository.cam.ac.uk/handle/1810/316163
https://doi.org/10.17863/CAM.63271
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| 11 |
Within-category representational stability through the lens of manipulable objects
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| 12 |
Anterior temporal lobe is necessary for efficient lateralised processing of spoken word identity. ...
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Anterior temporal lobe is necessary for efficient lateralised processing of spoken word identity.
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Neuro-Clinical Signatures of Language Impairments after Acute Stroke: A VBQ Analysis of Quantitative Native CT Scans.
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In: Current topics in medicinal chemistry, vol. 20, no. 9, pp. 792-799 (2020)
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Mapping the language landscape: A systematic review of interventions used in awake craniotomy
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A speech envelope landmark for syllable encoding in human superior temporal gyrus.
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In: Science advances, vol 5, iss 11 (2019)
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Remapping the cognitive and neural profiles of children who struggle at school. ...
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Domain-general and domain-specific computations in single word processing. ...
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Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia. ...
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