FP6Индивидуална стипендия2007–2009

NUMERICAL COGNITION · Does two equal 2? Notational representations in the human brain

6РП — Действия „Мария Кюри“

Период
2007-06-01 → 2009-05-31
Финансиране от ЕС
170 500 €
Участници
1
Схема
EIF

Линиите свързват координатора с партньорите.

Накратко на български

Представянето на числата в мозъка се изследва чрез проверка дали цифрата „2“ и количеството „две“ се обработват от едни и същи неврони. Това помага за разбирането на развитието на човешкия мозък и начина, по който възприемаме информацията.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Final Activity Report Summary - NUMERICAL COGNITION (Does two equal 2? Notational representations in the human brain)

The current project aimed to reveal how humans represented numbers in the brain. The study of neuronal specialisation in different cognitive and perceptual domains was important for our understanding of the human brain, its typical and atypical development, and its evolutionary precursors. Central to this understanding was the issue of numerical representation, and the questions of whether: 1. numerical magnitude was represented by specialised neuronal substrates. 2. different neuronal substrates were involved in representing numerical magnitude as a function of the format of presentation, i.e. the issue of abstract representation. In the first study, I examined both these questions in a single paradigm by using a functional magnetic resonance adaptation paradigm, which enabled me to improve spatial resolution and tap into the neuronal populations that might be more selective to magnitude rather than other processes, while controlling for non-numerical related activation. The results from the functional magnetic resonance adaptation paradigm, effective connectivity analysis and multivariate pattern analysis supported the idea that numerical representation in the parietal lobes was sub-served by overlapping multiple representations that were format dependent. In a second study I found convergent evidence for this conclusion by using a transcranial magnetic stimulation (TMS) with adaptation paradigm. By using adaptation to manipulate neural activation states prior to the application of TMS, one could control which neural populations were stimulated by TMS, as noted by Silvanto et al. in 2008. In this experiment, the subjects were adapted to the digit 7, which repeatedly appeared on the screen for 45 seconds in different locations and fonts. Following this adaptation period, the subjects had to decide in a same-different task whether two numbers, digits or verbal numbers, on the screen were perceptually the same or different, while we stimulated the intraparietal sulcus (IPS) with TMS. Only digits were affected by TMS to the left IPS, while words were not affected. Moreover, the TMS effect was most effective when the digit 7 appeared and was attenuated as numerical proximity decreased. This was not the case for verbal numbers. In a second experiment, the subjects were adapted to verbal numbers rather than digits. The results were exactly the opposite from the previous experiment, thus completing a double dissociation and supporting the idea that the parietal lobes were equipped with multiple representations for numerical quantity. In the last study, I examined what was the contribution of the left and right parietal lobes to numerical acquisition and to what extent were fundamental abilities, such as automaticity or mapping numbers in space, affected by the parietal lobes functions. Previous studies used brain stimulation or patients with neurological damage to functionally assess parietal lobes’ functions in numerical cognition. However, up until now, no study had examined the necessity of the parietal lobes in learning numerical information. In the current study healthy adults learned an artificial number system during six days, while their left and right parietal lobes were stimulated. Their performance was evaluated in a range of numerical tasks that included artificial digits. It was found that the polarity of the brain stimulation modulated the performance. In general, anodal stimulation to the right parietal lobes enhanced the performance, while cathodal stimulation led to impairment, or had no effect as compared to sham stimulation. These results provided a first step into using brain stimulation as a neurorehabilitation intervention tool for improving numerical learning in populations with numerical difficulties.

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

Цел на проекта

How human beings process numbers is a fundamental question with extensive impact on almost every aspect of life, both in normal and clinical populations. The aim of this proposal is to find some answers as to whether numbers are represented in an abstract way in the human brain, whether there are multiple representations for different numerical notations, and how learning shapes the way in which we represent numbers.Most theories of numerical cognition support the assumption that the representation of numbers is abstract and therefore notation independent. Accordingly, the reaction time profiles for the comparison of different notations, such as digits (e.g., 2), number words (e.g., TWO), or numerosity (e.g. ,) are identical. Converging evidence for the abstract numerical representation comes also from imaging studies.However, there are three caveats to these findings:- Stimuli that yield similar response functions can still be processed by distinct mechanisms.- There might be segregated representations at the neuronal level that cannot be revealed in conventional fMRI analysis, which is confined to the few millimeters of a single imaged voxel, and highly specialized neurons might be co-localized within such a voxel.- All previous imaging studies have involved response selection.This is crucial since it has been shown recently, that response selection and number processing activate the same brain areas. Hence, the shared activation for different notations might be due to response selection demands or in sufficient spatial resolution, and not to a notation independent comparison mechanism.The proposed project will be based on the promising combination of advanced imaging techniques such as functional magnetic resonance imaging, event-related potentials, transcranial magnetic stimulation and behavioural methods in both clinical and normal populations. This approach will further our understanding of the differential processing of numerical information.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз