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Bayesian modelling disentangles language versus executive control disruption in stroke.
Hartwigsen, Gesa; Lim, Jae-Sung; Bae, Hee-Joon; Yu, Kyung-Ho; Kuijf, Hugo J; Weaver, Nick A; Biesbroek, J Matthijs; Kopal, Jakub; Bzdok, Danilo.
Affiliation
  • Hartwigsen G; Wilhelm Wundt Institute for Psychology, Leipzig University, 04109 Leipzig, Germany.
  • Lim JS; Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.
  • Bae HJ; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea.
  • Yu KH; Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, 13620, South Korea.
  • Kuijf HJ; Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, 14068, Republic of Korea.
  • Weaver NA; Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
  • Biesbroek JM; Department of Neurology and Neurosurgery, Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
  • Kopal J; Department of Neurology and Neurosurgery, Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
  • Bzdok D; Department of Neurology, Diakonessenhuis Hospital, 3582 KE Utrecht, The Netherlands.
Brain Commun ; 6(3): fcae129, 2024.
Article in En | MEDLINE | ID: mdl-38707712
ABSTRACT
Stroke is the leading cause of long-term disability worldwide. Incurred brain damage can disrupt cognition, often with persisting deficits in language and executive capacities. Yet, despite their clinical relevance, the commonalities and differences between language versus executive control impairments remain under-specified. To fill this gap, we tailored a Bayesian hierarchical modelling solution in a largest-of-its-kind cohort (1080 patients with stroke) to deconvolve language and executive control with respect to the stroke topology. Cognitive function was assessed with a rich neuropsychological test battery including global cognitive function (tested with the Mini-Mental State Exam), language (assessed with a picture naming task), executive speech function (tested with verbal fluency tasks), executive control functions (Trail Making Test and Digit Symbol Coding Task), visuospatial functioning (Rey Complex Figure), as well as verbal learning and memory function (Soul Verbal Learning). Bayesian modelling predicted interindividual differences in eight cognitive outcome scores three months after stroke based on specific tissue lesion topologies. A multivariate factor analysis extracted four distinct cognitive factors that distinguish left- and right-hemispheric contributions to ischaemic tissue lesions. These factors were labelled according to the neuropsychological tests that had the strongest factor loadings One factor delineated language and general cognitive performance and was mainly associated with damage to left-hemispheric brain regions in the frontal and temporal cortex. A factor for executive control summarized mental flexibility, task switching and visual-constructional abilities. This factor was strongly related to right-hemispheric brain damage of posterior regions in the occipital cortex. The interplay of language and executive control was reflected in two distinct factors that were labelled as executive speech functions and verbal memory. Impairments on both factors were mainly linked to left-hemispheric lesions. These findings shed light onto the causal implications of hemispheric specialization for cognition; and make steps towards subgroup-specific treatment protocols after stroke.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Type: Article Affiliation country: Germany