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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
Lorenz, Romy; Johal, Michelle; Dick, Frederic. - : Apollo - University of Cambridge Repository, 2021
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A Bayesian optimization approach for rapidly mapping residual network function in stroke
In: Brain (2021)
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A Bayesian optimization approach for rapidly mapping residual network function in stroke.
Lorenz, Romy; Johal, Michelle; Dick, Frederic; Hampshire, Adam; Leech, Robert; Geranmayeh, Fatemeh. - : Oxford University Press (OUP), 2021. : Brain, 2021
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.
Keyword: Adult; Aged; Bayes Theorem; Brain; Brain Mapping; Computer-Assisted; Female; Humans; Image Interpretation; Machine Learning; Magnetic Resonance Imaging; Male; Middle Aged; Stroke
URL: https://www.repository.cam.ac.uk/handle/1810/316163
https://doi.org/10.17863/CAM.63271
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4
The Multidimensional Battery of Prosody Perception (MBOPP)
In: Wellcome Open Res (2021)
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5
Altered functional connectivity during speech perception in Congenital Amusia
Tierney, Adam; Dick, Frederic; Stewart, Lauren. - : eLife Sciences Publications, Ltd, 2020
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6
Altered functional connectivity during speech perception in congenital amusia ...
Jasmin, Kyle; Dick, Frederic; Stewart, Lauren. - : Birkbeck College, University of London, 2020
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7
Altered functional connectivity during speech perception in congenital amusia
In: eLife (2020)
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8
Tailored perception: individuals’ speech and music perception strategies fit their perceptual abilities
Dick, Frederic; Tierney, Adam; Jasmin, Kyle. - : American Psychological Association, 2019
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9
Speech-in-speech perception, non-verbal selective attention, and musical training
Tierney, Adam; Dick, Frederic; Rosen, S.. - : American Psychological Association, 2019
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10
Multidimensional Battery of Prosody Perception ...
Jasmin, Kyle; Dick, Frederic; Tierney, Adam. - : Birkbeck College, University of London, 2019
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11
What underlies the emergence of stimulus- and domain-specific neural responses? Commentary on Hernandez, Claussenius-Kalman, Ronderos, Castilla-Earls, Sun, Weiss, & Young (2018)
Dick, Frederic; Krishnan, S.. - : Elsevier, 2018
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12
Dimension-selective attention as a possible driver of dynamic, context-dependent re-weighting in speech processing
Dick, Frederic; Tierney, Adam; Guerra, G.. - : Elsevier, 2018
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13
Neural representation of vowel formants in tonotopic auditory cortex
Fisher, J.; Dick, Frederic; Levy, D.. - : Elsevier, 2018
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14
Dimension-selective attention as a possible driver of dynamic, context-dependent re-weighting in speech processing
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15
Neural representation of vowel formants in tonotopic auditory cortex
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16
Fractionating nonword repetition: the contributions of short-term memory and oromotor praxis are different
Carey, Daniel; Karmiloff-Smith, Annette; Krishnan, Saloni. - : Public Library of Science, 2017
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17
Functional and quantitative MRI mapping of somatomotor representations of human supralaryngeal vocal tract
Carey, Daniel; Krishnan, Saloni; Callaghan, M.F.. - : Oxford Journals, 2017
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18
Fractionating nonword repetition:The contributions of short-term memory and oromotor praxis are different
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Fractionating nonword repetition: The contributions of short-term memory and oromotor praxis are different
Krishnan, Saloni; Alcock, Katherine J.; Carey, Daniel. - : Public Library of Science, 2017
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20
Functional and Quantitative MRI Mapping of Somatomotor Representations of Human Supralaryngeal Vocal Tract
Carey, Daniel; Krishnan, Saloni; Callaghan, Martina F.. - : Oxford University Press, 2017
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