scholarly journals The Neural Architecture of Executive Functions Is Established by Middle Childhood

2018 ◽  
Author(s):  
Laura E. Engelhardt ◽  
K. Paige Harden ◽  
Elliot M. Tucker-Drob ◽  
Jessica A. Church

AbstractExecutive functions (EFs) are regulatory cognitive processes that support goal-directed thoughts and behaviors and that involve two primary networks of functional brain activity in adulthood. The current study assessed whether the same networks identified in adulthood underlie child EFs. Using task-based fMRI data from a diverse sample of N = 117 children and early adolescents (M age = 10.17 years), we assessed the extent to which neural activity was shared across three EF domains and whether these patterns reflected quantitative or qualitative differences relative to previously reported adult findings. Brain regions that were consistently engaged across switching, updating, and inhibition tasks closely corresponded to the cingulo-opercular and fronto-parietal networks identified in studies of adults. Isolating brain activity during more demanding task periods highlighted contributions of the dACC and anterior insular regions of the cingulo-opercular network. Results were independent of age and time-on-task effects. These results indicate that the two core brain networks that support EFs are in place by middle childhood. Improvement in EFs from middle childhood to adulthood, therefore, are likely due to quantitative changes in activity within these networks, rather than qualitative changes in the organization of the networks themselves. Improved knowledge of how the brain’s functional organization supports EF in childhood has critical implications for understanding the maturation of cognitive abilities.

2021 ◽  
Vol 11 (23) ◽  
pp. 11544
Author(s):  
Alexander K. Kuc ◽  
Semen A. Kurkin ◽  
Vladimir A. Maksimenko ◽  
Alexander N. Pisarchik ◽  
Alexander E. Hramov

We tested whether changes in prestimulus neural activity predict behavioral performance (decision time and errors) during a prolonged visual task. The task was to classify ambiguous stimuli—Necker cubes; manipulating the degree of ambiguity from low ambiguity (LA) to high ambiguity (HA) changed the task difficulty. First, we assumed that the observer’s state changes over time, which leads to a change in the prestimulus brain activity. Second, we supposed that the prestimulus state produces a different effect on behavioral performance depending on the task demands. Monitoring behavioral responses, we revealed that the observer’s decision time decreased for both LA and HA stimuli during the task performance. The number of perceptual errors lowered for HA, but not for LA stimuli. EEG analysis revealed an increase in the prestimulus 9–11 Hz EEG power with task time. Finally, we found associations between the behavioral and neural estimates. The prestimulus EEG power negatively correlated with the decision time for LA stimuli and the erroneous responses rate for HA stimuli. The obtained results confirm that monitoring prestimulus EEG power enables predicting perceptual performance on the behavioral level. The observed different time-on-task effects on the LA and HA stimuli processing may shed light on the features of ambiguous perception.


2013 ◽  
Vol 20 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Katherine L. Possin ◽  
Amanda K. LaMarre ◽  
Kristie A. Wood ◽  
Dan M. Mungas ◽  
Joel H. Kramer

AbstractExecutive functions refer to a constellation of higher-level cognitive abilities that enable goal-oriented behavior. The NIH EXAMINER battery was designed to assess executive functions comprehensively and efficiently. Performance can be summarized by a single score, the “Executive Composite,” which combines measures of inhibition, set-shifting, fluency, and working memory. We evaluated the ecological validity of the Executive Composite in a sample of 225 mixed neurological patients and controls using the Frontal Systems Behavior Scale (FrSBe), an informant-based measure of real-world executive behavior. In addition, we investigated the neuroanatomical correlates of the Executive Composite using voxel-based morphometry in a sample of 37 participants diagnosed with dementia, mild cognitive impairment, or as neurologically healthy. The Executive Composite accounted for 28% of the variance in Frontal Systems Behavior Scale scores beyond age. Even after including two widely used executive function tests (Trails B and Stroop) as covariates, the Executive Composite remained a significant predictor of real-world behavior. Anatomically, poorer scores on the Executive Composite were associated with smaller right and left dorsolateral prefrontal volumes, brain regions critical for good executive control. Taken together, these results suggest that the Executive Composite measures important aspects of executive function not captured by standard measures and reflects the integrity of frontal systems. (JINS, 2013,19, 1–9)


Psichologija ◽  
2012 ◽  
Vol 45 ◽  
pp. 42-45
Author(s):  
Sigita Girdzijauskienė ◽  
Lauryna Rakickienė

Vykdomoji funkcija – tai grupė aukštesniųjų pažintinių gebėjimų, kurie kontroliuoja ir reguliuoja kitus gebėjimus bei elgesį. Pastarąjį dešimtmetį smarkiai pagausėjo vykdomosios funkcijos tyrimų iš raidos psichologijos ir psichopatologijos perspektyvos. Yra kelios to priežastys, tarp jų atradimas, kad vykdomosios funkcijos sunkumai būdingi keletui raidos sutrikimų, bei aptiktas vaikų vykdomosios funkcijos ir psichikos teorijos ryšys. Vis dėlto per šį dešimtmetį sukauptos žinios apie vykdomosios funkcijos raidą yra gana padrikos, tai galima aiškinti vykdomosios funkcijos konstrukto problemiškumu ir metodologiniais vykdomųjų funkcijų tyrimo sunkumais. Be to, kai kuriems klausimams skiriama nepagrįstai mažai dėmesio: pavyzdžiui, mažai diskutuojama apie vykdomosios funkcijos raidos mechanizmus ar socialinių veiksnių įtaką šios funkcijos raidai. Straipsnyje aptariami vykdomosios funkcijos raidos ypatumai ir analizuojamos sąsajos su psichikos teorija normalios raidos bei psichopatologijos (autizmo sutrikimo) atveju. Siekiant užpildyti esamą spragą, daug dėmesio skiriama psichosocialiniam vykdomosios funkcijos raidos kontekstui.Pagrindiniai žodžiai: vykdomoji funkcija, psichikos teorija, autizmo sutrikimas, ankstyvieji socialiniai santykiai.THE DEVELOPMENT OF EXECUTIVE FUNCTION Lauryna Rakickienė, Sigita Girdzijauskienė Summary Executive function is a group of the higher-order cognitive abilities that coordinate and monitor other abilities and behavior. As complex cognitive functio­ning is primarily attributed to adults, executive function in children has rarely been studied. However, research of executive function from the perspective of develo­pmental psychology and psychopathology has become more frequent in recent decade. Several findings have attributed to this change, the discovery of an intriguing connection between children’s executive function and theory of mind among them. Several reviews have been published in the field, providing the detailed developmental map of most often studied components of executive function (Garon et al., 2008; Best et al., 2009). However, they touch less on the broader context of executive function development. The aim of this review paper is to discuss the main findings, new trends and unanswered questions associated with developmental research in executive function, hoping this will stimulate Lithuanian psychologists become more involved in the field. We start the first part of the paper by discussing the difficulties in developmental research of executive function associated with the theoretical ambiguity of the construct and methodological problems. Most authors have focused to three main executive functions in recent years: mental set shifting, working memory updating and response inhibition. However, none of the neuropsychological tests measure isolated component of executive function, which makes the interpretation of the findings complicated. Studying executive function in young children at least partly addresses this problem, as the neuropsychological tasks are less complex, so more “pure” in this group. We briefly describe the developmental trends of main executive functions, concluding that the development of these abilities starts as early as the first year of life, undergoes the biggest changes in preschool years and continues till late childhood and even adulthood. We finally outline the importance of studying psychosocial context of the development of executive function. There is evidence that early social interaction may affect the development of executive function (Bibok et al., 2009; Bernier et al., 2010), but much remains to be done to better understand the mechanisms of the development of these functions. The second part of the paper is devoted to the connection between the development of executive function and theory of mind. There are four main proofs of this connection: 1) positive correlation between the executive function and theory of mind test results; 2) matching developmental paths of these two psychic functions; 3) matching brain regions; 4) disorders of both psychic functions in case of psycho­pathology (autism disorder in particular). Although the connection between executive function and theory of mind development is well documented, little is known about the nature and direction of this connection. The most prominent hypothesis is that executive function development stimulates the emergence of executive function (Carlson et al., 2004; Hughes and Ensor, 2007), but alternative explanations exist. We suggest that the explanations taking into account the social context of the development of both psychic functions should be considered. Key words: executive function, theory of mind, autism, early social relationship.


2018 ◽  
Author(s):  
Célian Bimbard ◽  
Charlie Demené ◽  
Constantin Girard ◽  
Susanne Radtke-Schuller ◽  
Shihab Shamma ◽  
...  

A major challenge in neuroscience is to longitudinally monitor whole brain activity across multiple spatial scales in the same animal. Functional UltraSound (fUS) is an emerging technology that offers images of cerebral blood volume over large brain portions. Here we show for the first time its capability to resolve the functional organization of sensory systems at multiple scales in awake animals, both within structures by precisely mapping sensory responses, and between structures by elucidating the connectivity scheme of top-down projections. We demonstrate that fUS provides stable (over days), yet rapid, highly-resolved 3D tonotopic maps in the auditory pathway of awake ferrets, with unprecedented sharp functional resolution (100μm). This was performed in four different brain regions, including small (1-2mm3 size), subcortical (8mm deep) and previously undescribed structures in the ferret. Furthermore, we used fUS to map longdistance projections from frontal cortex, a key source of sensory response modulation, to auditory cortex.


2008 ◽  
Vol 275 (1653) ◽  
pp. 2803-2811 ◽  
Author(s):  
Tobias Grossmann ◽  
Mark H Johnson ◽  
Sarah Lloyd-Fox ◽  
Anna Blasi ◽  
Fani Deligianni ◽  
...  

This study examined the brain bases of early human social cognitive abilities. Specifically, we investigated whether cortical regions implicated in adults' perception of facial communication signals are functionally active in early human development. Four-month-old infants watched two kinds of dynamic scenarios in which a face either established mutual gaze or averted its gaze, both of which were followed by an eyebrow raise with accompanying smile. Haemodynamic responses were measured by near-infrared spectroscopy, permitting spatial localization of brain activation (experiment 1), and gamma-band oscillatory brain activity was analysed from electroencephalography to provide temporal information about the underlying cortical processes (experiment 2). The results revealed that perceiving facial communication signals activates areas in the infant temporal and prefrontal cortex that correspond to the brain regions implicated in these processes in adults. In addition, mutual gaze itself, and the eyebrow raise with accompanying smile in the context of mutual gaze, produce similar cortical activations. This pattern of results suggests an early specialization of the cortical network involved in the perception of facial communication cues, which is essential for infants' interactions with, and learning from, others.


2021 ◽  
Vol 118 (23) ◽  
pp. e2022288118
Author(s):  
Rong Wang ◽  
Mianxin Liu ◽  
Xinhong Cheng ◽  
Ying Wu ◽  
Andrea Hildebrandt ◽  
...  

Diverse cognitive processes set different demands on locally segregated and globally integrated brain activity. However, it remains an open question how resting brains configure their functional organization to balance the demands on network segregation and integration to best serve cognition. Here we use an eigenmode-based approach to identify hierarchical modules in functional brain networks and quantify the functional balance between network segregation and integration. In a large sample of healthy young adults (n = 991), we combine the whole-brain resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on the structural network derived from diffusion tensor imaging and demonstrate that resting brain networks are on average close to a balanced state. This state allows for a balanced time dwelling at segregated and integrated configurations and highly flexible switching between them. Furthermore, we employ structural equation modeling to estimate general and domain-specific cognitive phenotypes from nine tasks and demonstrate that network segregation, integration, and their balance in resting brains predict individual differences in diverse cognitive phenotypes. More specifically, stronger integration is associated with better general cognitive ability, stronger segregation fosters crystallized intelligence and processing speed, and an individual’s tendency toward balance supports better memory. Our findings provide a comprehensive and deep understanding of the brain’s functioning principles in supporting diverse functional demands and cognitive abilities and advance modern network neuroscience theories of human cognition.


2015 ◽  
Vol 27 (4) ◽  
pp. 705-719 ◽  
Author(s):  
Mark E. Wheeler ◽  
Sarah G. Woo ◽  
Tobin Ansel ◽  
Joshua J. Tremel ◽  
Amanda L. Collier ◽  
...  

The evolution of neural activity during a perceptual decision is well characterized by the evidence parameter in sequential sampling models. However, it is not known whether accumulating signals in human neuroimaging are related to the integration of evidence. Our aim was to determine whether activity accumulates in a nonperceptual task by identifying brain regions tracking the strength of probabilistic evidence. fMRI was used to measure whole-brain activity as choices were informed by integrating a series of learned prior probabilities. Participants first learned the predictive relationship between a set of shape stimuli and one of two choices. During scanned testing, they made binary choices informed by the sum of the predictive strengths of individual shapes. Sequences of shapes adhered to three distinct rates of evidence (RoEs): rapid, gradual, and switch. We predicted that activity in regions informing the decision would modulate as a function of RoE prior to the choice. Activity in some regions, including premotor areas, changed as a function of RoE and response hand, indicating a role in forming an intention to respond. Regions in occipital, temporal, and parietal lobes modulated as a function of RoE only, suggesting a preresponse stage of evidence processing. In all of these regions, activity was greatest on rapid trials and least on switch trials, which is consistent with an accumulation-to-boundary account. In contrast, activity in a set of frontal and parietal regions was greatest on switch and least on rapid trials, which is consistent with an effort or time-on-task account.


2020 ◽  
Vol 30 (7) ◽  
pp. 3938-3959 ◽  
Author(s):  
Philipp Kuhnke ◽  
Markus Kiefer ◽  
Gesa Hartwigsen

Abstract Conceptual knowledge is central to cognitive abilities such as word comprehension. Previous neuroimaging evidence indicates that concepts are at least partly composed of perceptual and motor features that are represented in the same modality-specific brain regions involved in actual perception and action. However, it is unclear to what extent the retrieval of perceptual–motor features and the resulting engagement of modality-specific regions depend on the concurrent task. To address this issue, we measured brain activity in 40 young and healthy participants using functional magnetic resonance imaging, while they performed three different tasks—lexical decision, sound judgment, and action judgment—on words that independently varied in their association with sounds and actions. We found neural activation for sound and action features of concepts selectively when they were task-relevant in brain regions also activated during auditory and motor tasks, respectively, as well as in higher-level, multimodal regions which were recruited during both sound and action feature retrieval. For the first time, we show that not only modality-specific perceptual–motor areas but also multimodal regions are engaged in conceptual processing in a flexible, task-dependent fashion, responding selectively to task-relevant conceptual features.


eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Célian Bimbard ◽  
Charlie Demene ◽  
Constantin Girard ◽  
Susanne Radtke-Schuller ◽  
Shihab Shamma ◽  
...  

A major challenge in neuroscience is to longitudinally monitor whole brain activity across multiple spatial scales in the same animal. Functional UltraSound (fUS) is an emerging technology that offers images of cerebral blood volume over large brain portions. Here we show for the first time its capability to resolve the functional organization of sensory systems at multiple scales in awake animals, both within small structures by precisely mapping and differentiating sensory responses, and between structures by elucidating the connectivity scheme of top-down projections. We demonstrate that fUS provides stable (over days), yet rapid, highly-resolved 3D tonotopic maps in the auditory pathway of awake ferrets, thus revealing its unprecedented functional resolution (100/300µm). This was performed in four different brain regions, including very small (1–2 mm3 size), deeply situated subcortical (8 mm deep) and previously undescribed structures in the ferret. Furthermore, we used fUS to map long-distance projections from frontal cortex, a key source of sensory response modulation, to auditory cortex.


2021 ◽  
Author(s):  
Linnea Karlsson Wirebring ◽  
Carola Wiklund-Hornqvist ◽  
Sara Stillesjo ◽  
Carina Granberg ◽  
Johan Lithner ◽  
...  

Many learning opportunities of mathematical reasoning in school encourage passive imitative learning procedures (algorithmic reasoning, AR) instead of engaging in more active constructive reasoning processes (e.g., creative mathematical reasoning, CMR). In the present study, we employed a within-subject mathematical intervention in the classroom with pupils in upper secondary schools followed by a test situation during brain imaging with fMRI one week later. We hypothesized that learning mathematical reasoning with the active (CMR) compared to the passive mode (AR) should lead to a CMR-effect, characterized by better performance and higher activity in brain regions related to semantic memory processing one week after learning. Despite controlling for individual differences in cognitive abilities, higher brain activity in key semantic brain regions such as left AG and left IFG was observed on tasks previously learnt with CMR compared to AR. Thus, encouraging pupils to engage in more active constructive processes when learning mathematical reasoning might have beneficial effects on learning and memory.


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