H2020Индивидуална стипендия2018–2020

Re-MAPMATH · Re-Mapping the Numerical Brain.

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2018-06-01 → 2020-07-01
Финансиране от ЕС: 168 277 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Пластичността на мозъка при математическите функции се проучва чрез сравнение между здрави хора и пациенти с тумори. Разбирането на тези процеси помага за подобряване на рехабилитацията при мозъчни увреждания и качеството на живот на пациентите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Re-Mapping the Numerical Brain.

Re-MAPMATH aimed to uncover brain plasticity for numerical functions. We initially focused on plasticity occurring as a consequence of the growth of a brain tumor (mostly low-grade glioma – LGG). As a consequence of the slow growth of LLGs, the brain has time to reorganize so that behavior is majorly unaffected [1,2]. While brain reorganization has been mostly studied for the language domain [3,4], our project focused on the mathematical system: from core math functions to calculation. Our overarching goal was to delineate possible redundancies and alternative configurations existent in the mathematical brain, allowing for efficient numerical behavior. For that, we used neuroimaging methods (magnetoencephalography - MEG, structural, and diffusion MRI) to these neural changes, including the contrast to the healthy population. Specific objectives implied firstly, group studies, where default brain activations and functional connectivity in healthy populations were described. They also involved mapping the brain basis for the same functions in brain-damaged patients (brain tumors) and a track of the behavior and its brain basis for post-surgically. Finally, and overall, we aimed to contrast the reorganized brain system to the normative one. The information obtained from this action will be valuable for rehabilitation techniques in developmental disorders or brain injury and the well-being of the patients. A good understanding of the reorganization capacities of the numerical system at the group and the single case level should benefit the future patient quality of life when numerical brain areas were affected. In turn, we targeted a deep understanding of the functional complexity inside the neurocognitive math system. [1] Desmurget, M., Bonnetblanc, F. & Duffau, H. Brain 130, 898–914 (2006). [2] Duffau, H. In Cognitive Plasticity in Neurologic Disorders (eds. Tracy, J., Hampstead, B. & Sathian, K.) 125 (Oxford University Press. 2015). [3] Duffau, H. et al. J. Neurol. Neurosurg. Psychiatry 74, 901–907 (2003). [4] Sarubbo, S., Le Bars, E., Moritz-Gasser, S. & Duffau, H. Neurosurg. Rev. 35, 287–292 (2012).

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Little is known on how the math system overcomes selective damage to parts of its brain bases. Indeed, brain adaptation has been observed in other domains, such as language: the loss of key language-related areas very often leads to brain reconfiguration for an ultimate successful behavior. Functional redundancies and remapping become visible in brain tumor patients for whom the slow growth of a tumor allows for functional reorganization. Re-MAPMATH aims the tracking of plastic brain changes behind math functions before and after surgery in brain tumor patients. For this, we will use neuroimaging techniques that allow for an optimal spatiotemporal resolution, entailing an advanced approach in the field of math cognition. The project main objectives are: (1) to precisely describe the brain bases for different math processes in the normal population, including functional activations and functional connectivity (2) to track how these default activations, functional and structural connectivity are modified by the growth of a tumor and (3) by the resection of the tumor, measuring three months after surgery. Finally (4), we aim the detection of commonalities across patients with the goal of describing redundancies and alternative pathways that allow a successful numerical behavior. In turn, uncovering these alternative neurofunctional systems can ultimately explain compensation in math disorders, as well as provide with useful information for the rehabilitation of essential math functions after surgery.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITA DEGLI STUDI DI PADOVA · PadovaКоординаторИталия