Academic Journal
Graph lesion-deficit mapping of fluid intelligence
| العنوان: | Graph lesion-deficit mapping of fluid intelligence |
|---|---|
| المؤلفون: | Cipolotti, lisa, Ruffle, James, Mole, joe, Xu, tianbo, Hyare, harpreet, Shallice, tim, Chan, edgar, Nachev, parashkev |
| المصدر: | Brain , 146 pp. 167-181. (2022) |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2022 |
| المجموعة: | University College London: UCL Discovery |
| مصطلحات موضوعية: | Frontal lobes, executive functions, fluency, focal lesion, lesion-symptom mapping |
| الوصف: | Fluid intelligence is arguably the defining feature of human cognition. Yet the nature of its relationship with the brain remains a contentious topic. Influential proposals drawing primarily on functional imaging data have implicated ‘multiple demand’ frontoparietal and more widely distributed cortical networks, but extant lesion-deficit studies with greater causal power are almost all small, methodologically constrained, and inconclusive. The task demands large samples of patients, comprehensive investigation of performance, fine-grained anatomical mapping, and robust lesion-deficit inference, yet to be brought to bear on it. We assessed 165 healthy controls and 227 frontal or non-frontal patients with unilateral brain lesions on the bestestablished test of fluid intelligence, Raven’s Advanced Progressive Matrices, employing an array of lesion-deficit inferential models responsive to the potentially distributed nature of fluid intelligence. Non-parametric Bayesian stochastic block models were used to reveal the community structure of lesion deficit networks, disentangling functional from confounding pathological distributed effects. Impaired performance was confined to patients with frontal lesions [F(2,387)=18.491; P<0.001; frontal worse than non-frontal and healthy participants P<0.01, P <0.001], more marked on the right than left [F(4,385)=12.237; P < 0.001; right worse than left and healthy participants P<0.01, P<0.001]. Patients with non-frontal lesions were indistinguishable from controls and showed no modulation by laterality. Neither the presence nor the extent of multiple demand network involvement affected performance. Both conventional network-based statistics and non-parametric Bayesian stochastic block modelling heavily implicated the right frontal lobe. Crucially, this localization was confirmed on explicitly disentangling functional from pathology-driven effects within a layered stochastic block model, prominently highlighting a right frontal network involving middle and ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text |
| اللغة: | English |
| Relation: | https://discovery.ucl.ac.uk/id/eprint/10155939/1/Ruffle_awac304.pdf; https://discovery.ucl.ac.uk/id/eprint/10155939/ |
| الاتاحة: | https://discovery.ucl.ac.uk/id/eprint/10155939/1/Ruffle_awac304.pdf https://discovery.ucl.ac.uk/id/eprint/10155939/ |
| Rights: | open |
| رقم الانضمام: | edsbas.379FCBA4 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |