scholarly journals Origins of the brain networks for advanced mathematics in expert mathematicians

2016 ◽  
Vol 113 (18) ◽  
pp. 4909-4917 ◽  
Author(s):  
Marie Amalric ◽  
Stanislas Dehaene
Keyword(s):  
Brain Activity ◽  
Basic Number ◽  
Advanced Mathematics ◽  
Language Competence ◽  
Academic Standing ◽  
Brain Circuits ◽  
Brain Circuit ◽  
High Level ◽  
The Brain ◽  
Mathematical Expertise

The origins of human abilities for mathematics are debated: Some theories suggest that they are founded upon evolutionarily ancient brain circuits for number and space and others that they are grounded in language competence. To evaluate what brain systems underlie higher mathematics, we scanned professional mathematicians and mathematically naive subjects of equal academic standing as they evaluated the truth of advanced mathematical and nonmathematical statements. In professional mathematicians only, mathematical statements, whether in algebra, analysis, topology or geometry, activated a reproducible set of bilateral frontal, Intraparietal, and ventrolateral temporal regions. Crucially, these activations spared areas related to language and to general-knowledge semantics. Rather, mathematical judgments were related to an amplification of brain activity at sites that are activated by numbers and formulas in nonmathematicians, with a corresponding reduction in nearby face responses. The evidence suggests that high-level mathematical expertise and basic number sense share common roots in a nonlinguistic brain circuit.

scholarly journals Restoring Shank3 in a rostral sensorimotor brainstem nucleus rescues reduced light-evoked behaviors in shank3ab-/- zebrafish.

2021 ◽  
Author(s):  
Robert Kozol ◽  
David James ◽  
Ivan Varela ◽  
Sureni Sumathipala ◽  
Stephan Züchner ◽  
...  
Keyword(s):  
Sensorimotor Integration ◽  
Brain Activity ◽  
Visual Stimuli ◽  
Brain Nuclei ◽  
Sensory Responsiveness ◽  
Brain Circuits ◽  
Brainstem Nucleus ◽  
Reduced Light ◽  
The Brain ◽  
Reduced Activity

Abstract People with Phelan-McDermid Syndrome, caused by mutations in the SHANK3 gene, commonly present with symptoms of sensory hyporeactivity. To investigate how shank3 mutations impact brain circuits and contribute to sensory hyporeactivity, we generated two shank3 zebrafish mutant models. These shank3 mutant models both exhibit hyporeactivity to visual stimuli. Using whole-brain activity mapping, we show that light receptive brain nuclei show normal levels of activity while sensorimotor integration and motor regions are less active in shank3-/- mutants. Specifically rescuing Shank3 in a sensorimotor nucleus of the rostral brainstem is sufficient to rescue shank3-/- mutant hyporeactivity. In summary, reduced sensory responsiveness in shank3-/- mutant is associated with reduced activity across the brain and can be rescued by restoring Shank3 function in the rostral brainstem.

Experimental models of spatial neglect

e-Neuroforum ◽  
2012 ◽  
Vol 18 (1) ◽  
Author(s):  
M. Wilke ◽  
P. Dechent ◽  
C. Schmidt-Samoa
Keyword(s):  
Nonhuman Primates ◽  
Brain Activity ◽  
Brain Regions ◽  
Experimental Models ◽  
Spatial Neglect ◽  
Distributed Network ◽  
Healthy Individuals ◽  
Detailed Understanding ◽  
Brain Circuits ◽  
The Brain

AbstractSpatial neglect is a debilitating neuropsy­chological disorder that is characterized by an impaired or lost ability to explore the space contralateral to the lesion and to re­act to stimuli presented on this side. Lesion sites that have been implicated in spatial ne­glect form a widely distributed network con­sisting of a number of cortical (i.e., frontopa­rietal) and subcortical (i.e., thalamic) areas that are activated during attention and vi­suomotor tasks in healthy individuals. While detailed understanding of the brain circuits and mechanisms involved in spatial neglect is a prerequisite for the development of ef­fective therapies, this has proven to be dif­ficult in human patients because of the size and variability of lesion sites. Therefore, ex­perimental models where predefined brain regions can be systematically inactivated are of great advantage. Neglect models have been developed in nonhuman primates in whom it is possible to pharmacologically in­activate small brain regions and in humans by means of noninvasive stimulation/inacti­vation methods such as transcranial magnet­ic stimulation. In this article, we discuss theo­ries about the mechanisms of spatial neglect such as the hemispheric imbalance model and the supporting experimental evidence, with an emphasis on imaging experiments that have explored the effects of lesions on dynamic brain activity.

Massive redeployment or distributed modularity?

2010 ◽  
Vol 33 (4) ◽  
pp. 292-293
Author(s):  
Alexia Toskos Dils ◽  
Stephen J. Flusberg
Keyword(s):  
Cognitive Behaviors ◽  
Brain Circuits ◽  
Neural Reuse ◽  
Brain Circuit ◽  
High Level

AbstractIn distinguishing itself from other distributed approaches to cognition, Anderson's theory of neural reuse is susceptible to some of the same criticisms that have been leveled at modular approaches. Specifically, neural reuse theories state that: (1) the “working” of a given brain circuit is fixed, rather than shaped by its input, and (2) that high-level cognitive behaviors can be cleanly mapped onto a specific set of brain circuits in a non-contextualized manner.

scholarly journals Recruitment of occipital cortex by arithmetic processing follows computational bias in early blind

2018 ◽  
Author(s):  
Virginie Crollen ◽  
Latifa Lazzouni ◽  
Antoine Bellemare ◽  
Mohamed Rezk ◽  
Franco Lepore ◽  
...  
Keyword(s):  
Brain Activity ◽  
Occipital Cortex ◽  
Spatial Processing ◽  
Functional Flexibility ◽  
Multiplication Task ◽  
The Right ◽  
High Level ◽  
Blind Individuals ◽  
The Brain

AbstractArithmetic reasoning activates the occipital cortex of early blind people (EB). This activation of visual areas may reflect functional flexibility or the intrinsic computational role of specific occipital regions. We contrasted these competing hypotheses by characterizing the brain activity of EB and sighted participants while performing subtraction, multiplication and a control verbal task. In both groups, subtraction selectively activated a bilateral dorsal network commonly activated during spatial processing. Multiplication triggered more activity in temporal regions thought to participate in memory retrieval. No between-group difference was observed for the multiplication task whereas subtraction induced enhanced activity in the right dorsal occipital cortex of the blind individuals only. As this area overlaps and exhibits increased functional connectivity with regions showing selective tuning to auditory spatial processing, our results suggest that the recruitment of occipital regions during high-level cognition in the blind actually relates to the intrinsic computational role of the reorganized regions.

Complexity Measures of Brain Electrophysiological Activity

2010 ◽  
Vol 24 (2) ◽  
pp. 131-135 ◽  
Author(s):  
Włodzimierz Klonowski ◽  
Pawel Stepien ◽  
Robert Stepien
Keyword(s):  
Brain Activity ◽  
Deterministic Chaos ◽  
Epileptic Seizures ◽  
Eeg Signal ◽  
Eeg Signals ◽  
Complexity Measures ◽  
Electrophysiological Activity ◽  
Signal Complexity ◽  
Physiological Sleep ◽  
The Brain

Over 20 years ago, Watt and Hameroff (1987 ) suggested that consciousness may be described as a manifestation of deterministic chaos in the brain/mind. To analyze EEG-signal complexity, we used Higuchi’s fractal dimension in time domain and symbolic analysis methods. Our results of analysis of EEG-signals under anesthesia, during physiological sleep, and during epileptic seizures lead to a conclusion similar to that of Watt and Hameroff: Brain activity, measured by complexity of the EEG-signal, diminishes (becomes less chaotic) when consciousness is being “switched off”. So, consciousness may be described as a manifestation of deterministic chaos in the brain/mind.

Relation Between Level of Prefrontal Activity and Subject's Performance

1999 ◽  
Vol 13 (2) ◽  
pp. 117-125 ◽  
Author(s):  
Laurence Casini ◽  
Françoise Macar ◽  
Marie-Hélène Giard
Keyword(s):  
Brain Activity ◽  
Sensory Information ◽  
Practice Phase ◽  
Trained Subjects ◽  
Anagram Task ◽  
Economic Information ◽  
Long Duration ◽  
Level Of Activity ◽  
The Brain ◽  
Processing Mechanism

Abstract The experiment reported here was aimed at determining whether the level of brain activity can be related to performance in trained subjects. Two tasks were compared: a temporal and a linguistic task. An array of four letters appeared on a screen. In the temporal task, subjects had to decide whether the letters remained on the screen for a short or a long duration as learned in a practice phase. In the linguistic task, they had to determine whether the four letters could form a word or not (anagram task). These tasks allowed us to compare the level of brain activity obtained in correct and incorrect responses. The current density measures recorded over prefrontal areas showed a relationship between the performance and the level of activity in the temporal task only. The level of activity obtained with correct responses was lower than that obtained with incorrect responses. This suggests that a good temporal performance could be the result of an efficacious, but economic, information-processing mechanism in the brain. In addition, the absence of this relation in the anagram task results in the question of whether this relation is specific to the processing of sensory information only.

Automated System for Epileptic Seizures Prediction based on Multi-Channel Recordings of Electrical Brain Activity

2018 ◽  
pp. 115-122 ◽  
Author(s):  
V. A. Maksimenko ◽  
A. A. Harchenko ◽  
A. Lüttjohann
Keyword(s):  
Epileptic Seizure ◽  
Brain Activity ◽  
Epileptic Seizures ◽  
Automated System ◽  
Brain Computer Interfaces ◽  
Electrical Brain Activity ◽  
Computer Interfaces ◽  
Prediction And Prevention ◽  
The Brain

Introduction: Now the great interest in studying the brain activity based on detection of oscillatory patterns on the recorded data of electrical neuronal activity (electroencephalograms) is associated with the possibility of developing brain-computer interfaces. Braincomputer interfaces are based on the real-time detection of characteristic patterns on electroencephalograms and their transformation  into commands for controlling external devices. One of the important areas of the brain-computer interfaces application is the control of the pathological activity of the brain. This is in demand for epilepsy patients, who do not respond to drug treatment.Purpose: A technique for detecting the characteristic patterns of neural activity preceding the occurrence of epileptic seizures.Results:Using multi-channel electroencephalograms, we consider the dynamics of thalamo-cortical brain network, preceded the occurrence of an epileptic seizure. We have developed technique which allows to predict the occurrence of an epileptic seizure. The technique has been implemented in a brain-computer interface, which has been tested in-vivo on the animal model of absence epilepsy.Practical relevance:The results of our study demonstrate the possibility of epileptic seizures prediction based on multichannel electroencephalograms. The obtained results can be used in the development of neurointerfaces for the prediction and prevention of seizures of various types of epilepsy in humans. 

scholarly journals Conditional Entropy: A Potential Digital Marker for Stress

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 286
Author(s):  
Soheil Keshmiri
Keyword(s):  
Resting State ◽  
Nearest Neighbor ◽  
Brain Activity ◽  
Solution Concept ◽  
Conditional Entropy ◽  
K Nearest Neighbor ◽  
Brain Response ◽  
Substantial Progress ◽  
Eeg Recordings ◽  
The Brain

Recent decades have witnessed a substantial progress in the utilization of brain activity for the identification of stress digital markers. In particular, the success of entropic measures for this purpose is very appealing, considering (1) their suitability for capturing both linear and non-linear characteristics of brain activity recordings and (2) their direct association with the brain signal variability. These findings rely on external stimuli to induce the brain stress response. On the other hand, research suggests that the use of different types of experimentally induced psychological and physical stressors could potentially yield differential impacts on the brain response to stress and therefore should be dissociated from more general patterns. The present study takes a step toward addressing this issue by introducing conditional entropy (CE) as a potential electroencephalography (EEG)-based resting-state digital marker of stress. For this purpose, we use the resting-state multi-channel EEG recordings of 20 individuals whose responses to stress-related questionnaires show significantly higher and lower level of stress. Through the application of representational similarity analysis (RSA) and K-nearest-neighbor (KNN) classification, we verify the potential that the use of CE can offer to the solution concept of finding an effective digital marker for stress.

scholarly journals Consciousness, decision making, and volition: freedom beyond chance and necessity

2021 ◽  
Author(s):  
Hans Liljenström
Keyword(s):  
Decision Making ◽  
Free Will ◽  
Brain Activity ◽  
Brain Structures ◽  
Complex Process ◽  
Neural Information ◽  
Neural Information Processing ◽  
Stochastic Population Model ◽  
The Brain

AbstractWhat is the role of consciousness in volition and decision-making? Are our actions fully determined by brain activity preceding our decisions to act, or can consciousness instead affect the brain activity leading to action? This has been much debated in philosophy, but also in science since the famous experiments by Libet in the 1980s, where the current most common interpretation is that conscious free will is an illusion. It seems that the brain knows, up to several seconds in advance what “you” decide to do. These studies have, however, been criticized, and alternative interpretations of the experiments can be given, some of which are discussed in this paper. In an attempt to elucidate the processes involved in decision-making (DM), as an essential part of volition, we have developed a computational model of relevant brain structures and their neurodynamics. While DM is a complex process, we have particularly focused on the amygdala and orbitofrontal cortex (OFC) for its emotional, and the lateral prefrontal cortex (LPFC) for its cognitive aspects. In this paper, we present a stochastic population model representing the neural information processing of DM. Simulation results seem to confirm the notion that if decisions have to be made fast, emotional processes and aspects dominate, while rational processes are more time consuming and may result in a delayed decision. Finally, some limitations of current science and computational modeling will be discussed, hinting at a future development of science, where consciousness and free will may add to chance and necessity as explanation for what happens in the world.

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