El rol predictivo de la red neuronal por defecto sobre la atención sostenida en edades escolares: una revisión sistemática

El rol de la Red Neuronal por Defecto en la aparición del trastorno de déficit atencional ha recibido evidencia científica creciente en los últimos 20 años. Este artículo tuvo por objetivo sistematizar la evidencia empírica y cuantitativa disponible en investigaciones sobre el rol de la Red Neuronal por Defecto en la atención sostenida y déficits atencionales en niños y adolescentes de etapa escolar; se usó la metodología de revisión sistemática de la literatura científica disponible entre 2010 y 2020. Se seleccionó una muestra de 13 estudios. Los resultados evidenciaron que la atención sostenida es rítmica y fluctúa junto a la memoria de trabajo. En cuanto a los niños con déficit atencional, se reportan anomalías en la disponibilidad de dopamina, adelgazamientos de las aéreas de la corteza cerebral interconectadas con la Red Neuronal por Defecto, así como hipo e híper conectividad de los tractos de materia blanca asociados a esta red. Estos hallazgos interpretados en su conjunto aportan evidencia valiosa acerca del rol emergente de la Red Neuronal por Defecto en los procesos subyacentes de la atención sostenida y la aparición de déficits atencionales. Estos hallazgos sistematizados pueden tener implicancias profundas en la didáctica y el diseño instruccional debido a que se cuenta con evidencia suficiente y validada como para adaptar las tareas de aprendizaje a los ritmos de atención y descanso puesto que estos obedecen a limitaciones biológicas y no a prescripciones administrativas.

The role of the Default Neural Network in the emergence of attention deficit disorder has received increasing scientific evidence in the last 20 years. This article aimed to systematize the empirical and quantitative evidence available in research on the role of the Default Neural Network in sustained attention and attention deficits in school children and adolescents; The methodology of systematic review of the scientific literature available between 2010 and 2020 was used. A sample of 13 studies was selected. The results showed that sustained attention is rhythmic and fluctuates along with working memory. Regarding children with attention deficit, anomalies in the availability of dopamine, thinning of the areas of the cerebral cortex interconnected with the Neural Network by Default, as well as hypo and hyper connectivity of the white matter tracts associated with this network are reported. These findings, interpreted as a whole, provide valuable evidence about the emerging role of the Default Neural Network in the underlying processes of sustained attention and the appearance of attentional deficits. These systematized findings can have profound implications in didactics and instructional design, due to the fact that there is sufficient and validated evidence to adapt the learning tasks to the rhythms of attention and rest since these processes obbey biological limitations and not to administrative requirements.

Who's driving? The default mode network in healthy elderly individuals at risk of cognitive decline.

Introduction: Age is the main risk factor for the development of neurocognitive disorders, with Alzheimer's disease being the most common. Its physiopathological features may develop decades before the onset of clinical symptoms. Quantitative electroencephalography (qEEG) is a promising and cost-effective tool for the prediction of cognitive decline in healthy older individuals that exhibit an excess of theta activity. The aim of the present study was to evaluate the feasibility of brain connectivity variable resolution electromagnetic tomography (BC-VARETA), a novel source localization algorithm, as a potential tool to assess brain connectivity with 19-channel recordings, which are common in clinical practice. Methods: We explored differences in terms of functional connectivity among the nodes of the default mode network between two groups of healthy older participants, one of which exhibited an EEG marker of risk for cognitive decline. Results: The risk group exhibited increased levels of delta, theta, and beta functional connectivity among nodes of the default mode network, as well as reversed directionality patterns of connectivity among nodes in every frequency band when compared to the control group. Discussion: We propose that an ongoing pathological process may be underway in healthy elderly individuals with excess theta activity in their EEGs, which is further evidenced by changes in their connectivity patterns. BC-VARETA implemented on 19-channels EEG recordings appears to be a promising tool to detect dysfunctions at the connectivity level in clinical settings.

Associations between Family Functioning and Maternal Behavior on Default Mode Network Connectivity in School-Age Children.

Background: Most early children's experiences will occur in a family context; therefore, the quality of this environment is critical for development outcomes. Not many studies have assessed the correlations between brain functional connectivity (FC) in important areas such as the default mode network (DMN) and the quality of parent-child relationships in school-age children and early adolescence. The quality of family relationships and maternal behavior have been suggested to modulate DMN FC once they act as external regulators of children's affect and behavior. Objective: We aimed to test the associations between the quality of family environment/maternal behavior and FC within the DMN of school-age children. Method: Resting-state, functional magnetic resonance imaging data, were collected from 615 children (6-12 age range) enrolled in the Brazilian High-Risk Cohort (HRC) study. We assessed DMN intra-connectivity between the medial prefrontal cortex (mPFC), posterior cingulate cortex (PCC), and inferior parietal lobule (IPL-bilateral) regions. The family functioning was assessed by levels of family cohesiveness and conflict and by maternal behavior styles such as maternal responsiveness, maternal stimulus to the child's autonomy, and maternal overprotection. The family environment was assessed with the Family Environment Scale (FES), and maternal behavior was assessed by the mother's self-report. Results: We found that the quality of the family environment was correlated with intra-DMN FC. The more conflicting the family environment was, the greater the FC between the mPFC-left IPL (lIPL), while a more cohesive family functioning was negatively correlated with FC between the PCC-lIPL. On the other hand, when moderated by a positive maternal behavior, cohesive family functioning was associated with increased FC in both regions of the DMN (mPFC-lIPL and PCC-lIPL). Conclusions: Our results highlight that the quality of the family environment might be associated with differences in the intrinsic DMN FC.

Stationary EEG pattern relates to large-scale resting state networks - An EEG-fMRI study connecting brain networks across time-scales.

Relating brain dynamics acting on time scales that differ by at least an order of magnitude is a fundamental issue in brain research. The same is true for the observation of stable dynamical structures in otherwise highly non-stationary signals. The present study addresses both problems by the analysis of simultaneous resting state EEG-fMRI recordings of 53 patients with epilepsy. Confirming previous findings, we observe a generic and temporally stable average correlation pattern in EEG recordings. We design a predictor for the General Linear Model describing fluctuations around the stationary EEG correlation pattern and detect resting state networks in fMRI data. The acquired statistical maps are contrasted to several surrogate tests and compared with maps derived by spatial Independent Component Analysis of the fMRI data. By means of the proposed EEG-predictor we observe core nodes of known fMRI resting state networks with high specificity in the default mode, the executive control and the salience network. Our results suggest that both, the stationary EEG pattern as well as resting state fMRI networks are different expressions of the same brain activity. This activity is interpreted as the dynamics on (or close to) a stable attractor in phase space that is necessary to maintain the brain in an efficient operational mode. We discuss that this interpretation is congruent with the theoretical framework of complex systems as well as with the brain's energy balance.

Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study.

PURPOSE: Default mode network (DMN) has emerged as a potential biomarker of Alzheimer's disease (AD); however, it is not clear whether it can differentiate amnestic mild cognitive impairment with altered amyloid (aMCI-Aß +) who will evolve to AD. We evaluated if structural and functional connectivity (FC), hippocampal volumes (HV), and cerebrospinal fluid biomarkers (CSF-Aß42, p-Tau, and t-Tau) can differentiate aMCI-Aß + converters from non-converters. METHODS: Forty-eight individuals (18 normal controls and 30 aMCI subjects in the AD continuum - with altered Aß42 in the CSF) were followed up for an average of 13 months. We used MultiAtlas, UF2C, and Freesurfer software to evaluate diffusion tensor imaging, FC, and HV, respectively, INNOTEST® kits to measure CSF proteins, and neuropsychological tests. Besides, we performed different MANOVAs with further univariate analyses to differentiate groups. RESULTS: During follow-up, 8/30 aMCI-Aß + converted (26.6%) to AD dementia. There were no differences in multivariate analysis between groups in CSF biomarkers (p = 0.092) or at DMN functional connectivity (p = 0.814). aMCI-Aß + converters had smaller right HV than controls (p = 0.013), and greater right cingulum parahippocampal bundle radial diffusivity than controls (p < 0.001) and non-converters (p = 0.036). CONCLUSION: In this exploratory study, structural, but not functional, DMN connectivity alterations may differentiate aMCI-Aß + subjects who converted to AD dementia.

Spindle-Shaped Neurons in the Human Posteromedial (Precuneus) Cortex.

The human posteromedial cortex (PMC), which includes the precuneus (PC), represents a multimodal brain area implicated in emotion, conscious awareness, spatial cognition, and social behavior. Here, we describe the presence of Nissl-stained elongated spindle-shaped neurons (suggestive of von Economo neurons, VENs) in the cortical layer V of the anterior and central PC of adult humans. The adapted "single-section" Golgi method for postmortem tissue was used to study these neurons close to pyramidal ones in layer V until merging with layer VI polymorphic cells. From three-dimensional (3D) reconstructed images, we describe the cell body, two main longitudinally oriented ascending and descending dendrites as well as the occurrence of spines from proximal to distal segments. The primary dendritic shafts give rise to thin collateral branches with a radial orientation, and pleomorphic spines were observed with a sparse to moderate density along the dendritic length. Other spindle-shaped cells were observed with straight dendritic shafts and rare branches or with an axon emerging from the soma. We discuss the morphology of these cells and those considered VENs in cortical areas forming integrated brain networks for higher-order activities. The presence of spindle-shaped neurons and the current discussion on the morphology of putative VENs address the need for an in-depth neurochemical and transcriptomic characterization of the PC cytoarchitecture. These findings would include these spindle-shaped cells in the synaptic and information processing by the default mode network and for general intelligence in healthy individuals and in neuropsychiatric disorders involving the PC in the context of the PMC functioning.

Patterns of default mode network in temporal lobe epilepsy with and without hippocampal sclerosis.

The default mode network (DMN) consists of the deactivation of specific regions during the performance of cognitive tasks and activation during resting or mind wandering. Several pieces of evidence indicate the impairment of DMN in patients with mesial temporal lobe epilepsy (MTLE). However, most of these studies combined different underlying etiologies, failing to disentangle the influence of seizures and presence and side of hippocampal sclerosis (HS). We included 119 patients with MTLE divided into right-HS (n = 42), left-HS (n = 46), and magnetic resonance imaging (MRI)-negative MTLE (n = 31) and controls (n = 59). All underwent resting-state seed-based functional connectivity (FC), with a seed placed at the posterior cingulate cortex (PCC), an essential node for the DMN. To access group inferences, we used an SPM (Statistical Parametric Mapping) full-factorial model to compare patterns of activation using pairwise comparisons among all groups. Our results indicate a different pattern of DMN FC when controlling for side and presence of HS. The group with right-HS had increased FC in the left angular gyrus and the left middle occipital gyrus, when compared to controls, and increased FC of the left hippocampus when compared to the group with left-HS. The MRI-negative group had increased FC of the left hippocampus, left ventral diencephalon, and left fusiform gyrus as compared to left-HS, but did not show any areas of reduced FC compared to controls. By contrast, the group with left-HS did not show areas of increased FC compared to controls or the right-HS and had reduced FC in the left hippocampus compared to controls. Hence, the right-HS presented increased FC in areas related to the DMN in the left hemisphere; the MRI-negative group also showed increased FC in left-sided structures close to temporal lobe when compared to left-HS, probably indicating engagement in a compensatory system. In a subanalysis considering only the MRI-negative with left-sided EEG (electroencephalogram) subgroup, we found differences against controls, with left angular gyrus more connected in the first group, but no significant differences when compared to the group with left-HS. We conclude that the origin of seizures on the left hemisphere seems to engender a less prominent capacity of recruiting other neighbor areas related to DMN as compared to right-HS and controls. Considering recent studies that have revealed the importance of DMN for cognitive skills and memory, our findings may indicate that deficiencies exhibited by patients with left-HS temporal lobe epilepsy (TLE) in connecting to the DMN could be a surrogate marker of their known worse neuropsychological performance. Further studies with direct comparisons between cognitive tests and FC within the DMN are needed to validate these findings, especially for MRI-negative patients. This article is part of the Special Issue "NEWroscience 2018".

Resting-state default mode network connectivity in young individuals with Down syndrome.

BACKGROUND: Down syndrome (DS) is a chromosomal disorder that causes intellectual disability. Few studies have been conducted on functional connectivity using resting-state fMRI (functional magnetic resonance imaging) signals or more specifically, on the relevant structure and density of the default mode network (DMN). Although data on this issue have been reported in adult DS individuals (age: >45 years), the DMN properties in young DS individuals have not been studied. The aim of this study was to describe the density and structure of the DMN network from fMRI signals in young DS (age: <36 years). METHOD: A sample of 22 young people with DS between the ages of 16 and 35 (M = 25.5 and SD = 5.1) was recruited in various centers for people with intellectual disability (ID). In addition to sociodemographic data, a six-minute fMRI session was recorded with a 3. T Philips Ingenia scanner. A control group of 22 young people, matched by age and gender, was obtained from the Human Connectome Project (to compare the networks properties between groups). RESULTS: The values of the 48 ROIs that configured the DMN were obtained, and the connectivity graphs for each subject, the average connectivity graph for each group, the clustering and degree values for each ROI, and the average functional connectivity network were estimated. CONCLUSIONS: A higher density of overactivation was identified in DS group in the ventral, sensorimotor, and visual DMN networks, although within a framework of a wide variability of connectivity patterns in comparison with the control group network. These results extend our understanding of the functional connectivity networks pattern and intrasubject variability in DS.

Non-classical behavior of the default mode network regions during an information processing task.

The default mode network (DMN) efficient deactivation and suppressed functional connectivity (FC) during goal-directed tasks, which require attentional resources, have been considered essential to healthy brain cognition. However, recent studies have shown that DMN regions do not always show the expected behavior. Then, we aimed to investigate the functional activation and connectivity of DMN nodes in young, healthy controls during a goal-directed task. We used an adaptation of the symbol digit modalities test (SDMT) to evaluate the information processing speed (IPS). Twenty-four subjects (10 women, age: 29 ± 7 years) underwent two functional Magnetic Resonance Imaging experiments: one during resting-state and one during a block-designed SDMT paradigm. We superimposed the templates of the DMN on the group activation map and observed the reorganization of the network. For the posterior cingulate cortex (PCC) node of the DMN, which is spatially extensive, comprising the precuneus (dorsal portion) and the posterior cingulate gyrus (PCG, ventral portion), the extent of each region was different between conditions, suggesting different functional roles for them. Therefore, for the functional connectivity (FC) analysis, we split the DMN-PCC region into two regions: left precuneus (BA 7) and PCG. The left precuneus (BA 7) was positively correlated with the left lingual gyrus (BA 17), a task-positive region, and negatively associated with the DMN nodes when comparing task performance with the resting-state condition. The other DMN regions presented the classical antagonistic role during the attentional task. In conclusion, we found that the activation and functional connectivity of the DMN is, in general, suppressed during the information processing. However, the left precuneus BA 7 presented a context-dependent modulatory behavior, working as a transient in-between hub connecting the DMN to task-positive areas. Such findings support studies that show increased activation and excitatory functional connectivity of DMN portions during goal-directed tasks. Moreover, our results may contribute to defining more precise functional correlates of IPS deficits in a wide range of clinical and neurological diseases.

Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression.

The significant public health burden associated with late-life depression (LLD) is magnified by the high rates of recurrence. In this manuscript, we review what is known about recurrence risk factors, conceptualize recurrence within a model of homeostatic disequilibrium, and discuss the potential significance and challenges of new research into LLD recurrence. The proposed model is anchored in the allostatic load theory of stress. We review the allostatic response characterized by neural changes in network function and connectivity and physiologic changes in the hypothalamic-pituitary-adrenal axis, autonomic nervous system, immune system, and circadian rhythm. We discuss the role of neural networks' instability following treatment response as a source of downstream disequilibrium, triggering and/or amplifying abnormal stress response, cognitive dysfunction and behavioral changes, ultimately precipitating a full-blown recurrent episode of depression. We propose strategies to identify and capture early change points that signal recurrence risk through mobile technology to collect ecologically measured symptoms, accompanied by automated algorithms that monitor for state shifts (persistent worsening) and variance shifts (increased variability) relative to a patient's baseline. Identifying such change points in relevant sensor data could potentially provide an automated tool that could alert clinicians to at-risk individuals or relevant symptom changes even in a large practice.

Greater Anteroposterior Default Mode Network Functional Connectivity in Long-Term Elderly Yoga Practitioners.

Large-scale brain networks exhibit changes in functional connectivity during the aging process. Recent literature data suggests that Yoga and other contemplative practices may revert, at least in part, some of the aging effects in brain functional connectivity, including the Default Mode Network (DMN). The aim of this cross-sectional investigation was to compare resting-state functional connectivity of the medial prefrontal cortex (MPFC) and posterior cingulate cortex-precuneus (PCC-Precuneus) in long-term elderly Yoga practitioners and healthy paired Yoga-naïve controls. Two paired groups: yoga (Y-20 women, Hatha Yoga practitioners; practicing a minimum of twice a week with a frequency of at least 8 years) and a control group (C-20 women, Yoga-naïve, matched by age, years of formal education, and physical activity) were evaluated for: Mini Mental State Examination (MMSE), Beck Depression Inventory (BDI), Instrumental Activities of Daily Living (IADL), and open-eyes resting-state functional magnetic resonance imaging (fMRI)-seed to voxel connectivity analysis (CONN toolbox 17.f) with pre-processing-realignment and unwarping, slice-timing correction, segmentation, normalization, outlier detection, and spatial filtering. The analysis included a priori regions of interest (ROI) of DMN main nodes-MPFC and PCC-Precuneus. There was no difference between groups in terms of: age, years of formal education, MMSE, BDI and IADL. The Yoga group had a higher correlation between MPFC and the right angular gyrus (AGr), compared to the controls. Elderly women with at least 8 years of yoga practice presented greater intra-network anteroposterior brain functional connectivity of the DMN. This finding may contribute to the understanding of the influences of practicing Yoga for a healthier cognitive aging process.

Anxiety and depression symptoms disrupt resting state connectivity in patients with genetic generalized epilepsies.

OBJECTIVE: To analyze the lifetime trajectories in genetic generalized epilepsies (GGEs) and investigate the impact of symptoms of anxiety and depression on resting state functional connectivity (FC). METHODS: Seventy-four GGE patients were classified according to the pharmacological response as seizure-free (12 patients), pharmacoresistant (PhR; 14 patients), and fluctuating (FL; 48 patients). Fifty-four subjects completed both the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI), and 38 also underwent 3-T resting state functional magnetic resonance imaging. These 38 patients were subdivided into a positive group (13 patients with concurrent symptoms of depression and anxiety) and a negative group (21 asymptomatic patients and four with mild anxiety or depression symptoms). For FC analysis of resting state networks, we matched 38 healthy asymptomatic volunteers and used the UF2C toolbox running on MATLAB2017/SPM12. RESULTS: The PhR group presented shorter duration of epilepsy (P = 0.016) and follow-up (P < 0.001) compared to the FL group. The PhR group showed higher levels (median = 20) on the BAI and BDI. Myoclonic seizures were the most difficult to control, as 50% of subjects persisted with them at last appointment, compared to generalized tonic-clonic seizures and absence seizures (<40%). Patients with concurrent anxiety and depression symptoms were 7.7 times more likely to exhibit pharmacoresistant seizures, although an increase of 1 year of epilepsy duration was associated with a decrease in the odds of presenting pharmacoresistance by a factor of 0.9. Overall, FC was altered between default mode network (DMN) and visuospatial/dorsal attention. However, only the positive group displayed abnormal FC between DMN and left executive control network, and between salience and visuospatial/dorsal attention. SIGNIFICANCE: Our findings may help clinicians to have a better understanding of GGE clinical course and increase attention to the potential relationship of psychopathologies and brain connectivity.

Differences in Cortical Structure and Functional MRI Connectivity in High Functioning Autism.

Autism spectrum disorders (ASD) represent a complex group of neurodevelopmental conditions characterized by deficits in communication and social behaviors. We examined the functional connectivity (FC) of the default mode network (DMN) and its relation to multimodal morphometry to investigate superregional, system-level alterations in a group of 22 adolescents and young adults with high-functioning autism compared to age-, and intelligence quotient-matched 29 healthy controls. The main findings were that ASD patients had gray matter (GM) reduction, decreased cortical thickness and larger cortical surface areas in several brain regions, including the cingulate, temporal lobes, and amygdala, as well as increased gyrification in regions associated with encoding visual memories and areas of the sensorimotor component of the DMN, more pronounced in the left hemisphere. Moreover, patients with ASD had decreased connectivity between the posterior cingulate cortex, and areas of the executive control component of the DMN and increased FC between the anteromedial prefrontal cortex and areas of the sensorimotor component of the DMN. Reduced cortical thickness in the right inferior frontal lobe correlated with higher social impairment according to the scores of the Autism Diagnostic Interview-Revised (ADI-R). Reduced cortical thickness in left frontal regions, as well as an increased cortical thickness in the right temporal pole and posterior cingulate, were associated with worse scores on the communication domain of the ADI-R. We found no association between scores on the restrictive and repetitive behaviors domain of ADI-R with structural measures or FC. The combination of these structural and connectivity abnormalities may help to explain some of the core behaviors in high-functioning ASD and need to be investigated further.

Decoupling between the hand territory and the default mode network after bilateral arm transplantation: four-year follow-up case study.

Several studies have suggested both a local and network reorganization of the sensorimotor system following amputation. Transplantation of a new limb results in a new shifting of cortical activity in the local territory of the transplanted limb. However, there is a lack of information about the reversibility of the abnormalities at the network level. The objective of this study was to characterize the functional connectivity changes between the cortical territory of the new hand and two intrinsic network of interest: the sensorimotor network (SMN) and the default mode network (DMN) of one patient whom received bilateral forearm transplants. Using resting-state fMRI these two networks were identified across four different time points, starting four months after the transplantation surgery and during three consecutive years while the patient underwent physical rehabilitation. The topology of the SMN was disrupted at the first acquisition and over the years returned to its canonical pattern. Analysis of the DMN showed the normal topology with no significant changes across acquisitions. Functional connectivity between the missing hand's cortical territory and the SMN increased over time. Accordingly, functional connectivity between the missing hand's cortical territory and the DMN became anticorrelated over time. Our results suggest that after transplantation a new reorganization occurs at the network level, supporting the idea that extreme behavioral changes can affect not only the local rewiring but also the intrinsic network organization in neurologically healthy subjects. Overall this study provides new insight on the complex dynamics of brain organization.

Systemic Inflammation and Multimodal Biomarkers in Amnestic Mild Cognitive Impairment and Alzheimer's Disease.

There is increasing evidence suggesting that one of the most relevant pathophysiological features of Alzheimer's disease (AD) is neuroinflammation, which plays an important role in the production and regulation of AD-related proteins (amyloid beta (Aß) and Tau) and exacerbates AD pathology. Neuroinflammation can also be induced by systemic influences (factors from outside the central nervous system). However, the role of systemic inflammation in AD pathophysiology is much less understood. Thus, our main objective in this study was to verify whether the presence of serum cytokines (IL-1ß, IL-6, IL-10, IL-12, and TNF-α) affects different AD biomarkers: Aß1-42 and Tau protein levels, hippocampal volumes (HV), and default mode network functional connectivity (DMN FC) in healthy elderly controls, amnestic mild cognitive impairment (aMCI) patients due to AD, and mild AD patients. To accomplish this, we acquired 3-T MRI, blood, and cerebrospinal fluid (CSF) samples from 42 healthy controls, 55 aMCI patients due to AD, and 33 mild AD patients. Comparing the groups, we found that the mild AD patients presented smaller HV, disrupted DMN FC, and proportionally less IL-1ß than the controls. The aMCI patients only differed from the controls in DMN FC. In intra-group comparison, aMCI and mild AD with detectable levels of cytokines (TNF-α, IL-1ß, IL-10, and IL-12) had decreased DMN FC. On the other hand, patients with detectable levels of IL-10 and IL-12 presented a more favorable AD biomarkers profile (larger HV, more CSF Aß1-42, and less p-Tau), indicating a possible protective role of these ILs. Our findings indicate a possible relationship between systemic inflammation with DMN FC disruption, hippocampal atrophy, and CSF protein levels in the subjects with mild AD and aMCI.

Default Mode Network Maturation and Environmental Adversities During Childhood.

Default mode network (DMN) plays a central role in cognition and brain disorders. It has been shown that adverse environmental conditions impact neurodevelopment, but how these conditions impact in DMN maturation is still poorly understood. This article reviews representative neuroimaging functional studies addressing the interactions between DMN development and environmental factors, focusing on early life adversities, a critical period for brain changes. Studies focused on this period of life offer a special challenge: to disentangle the neurodevelopmental connectivity changes from those related to environmental conditions. We first summarized the literature on DMN maturation, providing an overview of both typical and atypical development patterns in childhood and early adolescence. Afterward, we focused on DMN changes associated with chronic exposure to environmental adversities during childhood. This summary suggests that changes in DMN development could be a potential allostatic neural feature associated with an embodiment of environmental circumstances. Finally, we discuss about some key methodological issues that should be considered in paradigms addressing environmental adversities and open questions for future investigations.

Una perspectiva neurobiológica del pensamiento preconciente / A neurobiologiccal perspective of preconscious thought

El modelo teórico freudiano del proceso de construcción del Yo se complementa con el análisis de los modos que adopta el pensamiento, configurando un tipo general de funcionamiento denominado "proceso secundario" o modo preconciente/conciente de la actividad psíquica. Desarrollos recientes en neurociencia han mostrado la existencia de diferentes redes o sistemas neurales correlacionados con distintos tipos de actividad mental. Entre éstos, la "default mode network" (DMN) designa un sistema que muestra un alto nivel de actividad metabólica "en reposo", cuando el cerebro no está ocupado en llevar a cabo un tarea en particular. En 2010 Friston y Carhart-Harris propusieron que dicho sistema podría constituir el sustrato neural para el proceso secundario freudiano. En este artículo se revisaran brevemente el modelo teórico freudiano de la construcción del yo, por una parte, y el estado del arte que muestra el desarrollo de la DMN en bebés y niños de diferentes edades. (AU)

According to Friston and Carhart-Harris some Freudian main theoretical concepts may have neurobiological correlates. They propose that the Freudian notion of "secondary process" can be related to the activity of the "default mode network". The secondary process is mainly devoted to converting "free energy" into "bound energy" in a fashion that makes it useful for higher cognitive functions, and it is governed by "the ego" as the chief executive structure. The DMN was described as a network that shows high metabolic activity at rest and deactivates during goal-directed cognition. We intend to show, from the Freudian perspective, how different modes of thinking activity can be related to each stage of ego structure development and contribute with certain complex components shaping the preconscious/conscious way of thinking. And then, how these ego forms can be correlated with recent findings about DMN ontogenetic changes and maturation in newborns and young children. (AU)

Altered Functional Connectivity Between Precuneus and Motor Systems in Parkinson's Disease Patients.

Parkinson's disease (PD) is a neurodegenerative disorder that affects motor skills and cognition. As brain structure and function are compromised, functional magnetic resonance imaging (fMRI) can be a helpful tool to further investigate how intrinsic connectivity is impaired on the disease. The precuneus and medial prefrontal cortex (mPFC) are hub regions involved on the default mode network (DMN), a system that is active during rest and related to cognitive processes. We hypothesized that PD patients would present a decrease in functional connectivity among these two regions and the rest of the brain. Our goal was to identify regions in which functional connectivity to precuneus and mPFC was altered in PD. This study was based on resting-state fMRI data from 37 healthy subjects and 55 PD patients. Precuneus and mPFC were selected as seed regions in a whole brain functional connectivity mapping. As expected, we found abnormal connectivity from precuneus to motor system regions in PD patients, pointing toward a decreased connectivity in the disease. No significant group effects were found for the mPFC. Our findings suggest that internetwork connectivity from DMN to motor system is impaired in PD.

The state of consciousness in patients in the vegetative and minimally conscious states / O estado de consciência em pacientes em estado vegetativo e em estado de consciência minima

Brain-injured patients may, with the assistance of life support, continue to perform basic bodily functions, but yet be deficient in wakefulness, awareness, decision making or other overt manifestations of consciousness. Here, we review two neurological states observed in brain injured patients with different degrees of brain impairment, the vegetative state (VS)and the minimally conscious state (MCS), and we discuss how these states are diagnosed through assessing patient behavioral responses during clinical examination. We consider howfunctional neuroimaging has revealed preserved cognitive capacities in patients that were supposed to be in the VS and has introduced a new diagnosis, cognitive motor dissociation.We review the GW Theory proposal that consciousness arises from functional connectivity (FC) of widely separated brain regions. We discuss how such high FC underlies the DefaultMode Network (DMN), a group of neural circuits that are active when an individual is not involved with external tasks and engages in introspective thinking. Finally, we discuss thefinding that the level of FC of the DMN is diminished in brain injured patients and the proposal that the level of residual DMN FC in brain injured patients is an index of their consciousness

Pacientes com lesão cerebral, quando assistidos, podem continuar a desempenhar funções fisiológicas básicas, mesmo estando com a vigília, a atenção, a capacidade de decisão e outras funções de consciência prejudicadas. Revisamos aqui dois níveis de distúrbio de consciência o estado vegetativo (VS) e o nível de consciência mínima (MCS), e discutimos como são diagnosticados através das respostas comportamentais durante o exame clínico. Abordamos como a neuroimagem funcional revelou capacidades cognitivas preservadas em pacientes supostamente em estado vegetativo, introduzindo um novo diagnóstico: a dissociação cognitivo-motora. Revisamos a proposta da Global Workspace (GW) teoria de que a consciência surge a partir de um alto grau de conectividade funcional (FC) entre áreas cerebrais distantes. Discutimos como esta alta conectividade é a base do Default Mode Network (DMN), uma rede neural ativada quando o indivíduo não está envolvido com tarefas externas e se volta para atividade mental introspectiva. Finalmente, discutimos os achados de redução do nível de FC no DMN em pacientes com lesão cerebral e a proposta de que o mesmo poderia ser um índice do nível de consciência nesses pacientes.

The State of Consciousness in Patients in the Vegetative and Minimally Conscious States / O estado de consciência em pacientes em estado vegetativo e em estado de consciência minima

Brain-injured patients may, with the assistance of life support, continue to perform basic bodily functions, but yet be deficient in wakefulness, awareness, decision making or other overt manifestations of consciousness. Here, we review two neurological states observed in brain injured patients with different degrees of brain impairment, the vegetative state (VS)and the minimally conscious state (MCS), and we discuss how these states are diagnosed through assessing patient behavioral responses during clinical examination. We consider howfunctional neuroimaging has revealed preserved cognitive capacities in patients that were supposed to be in the VS and has introduced a new diagnosis, cognitive motor dissociation.We review the GW Theory proposal that consciousness arises from functional connectivity (FC) of widely separated brain regions. We discuss how such high FC underlies the DefaultMode Network (DMN), a group of neural circuits that are active when an individual is not involved with external tasks and engages in introspective thinking. Finally, we discuss thefinding that the level of FC of the DMN is diminished in brain injured patients and the proposal that the level of residual DMN FC in brain injured patients is an index of their consciousness.(AU)

Pacientes com lesão cerebral, quando assistidos, podem continuar a desempenhar funções fisiológicas básicas, mesmo estando com a vigília, a atenção, a capacidade de decisão eoutras funções de consciência prejudicadas. Revisamos aqui dois níveis de distúrbio de consciência o estado vegetativo (VS) e o nível de consciência mínima (MCS), e discutimoscomo são diagnosticados através das respostas comportamentais durante o exame clínico. Abordamos como a neuroimagem funcional revelou capacidades cognitivas preservadas empacientes supostamente em estado vegetativo, introduzindo um novo diagnóstico: a dissociação cognitivo-motora. Revisamos a proposta da Global Workspace (GW) teoria de que a consciência surge a partir de um alto grau de conectividade funcional (FC) entre áreas cerebrais distantes. Discutimos como esta alta conectividade é a base do Default Mode Network (DMN), uma rede neural ativada quando o indivíduo não está envolvido com tarefas externas e se volta para atividade mental introspectiva. Finalmente, discutimos os achadosde redução do nível de FC no DMN em pacientes com lesão cerebral e a proposta de que o mesmo poderia ser um índice do nível de consciência nesses pacientes.(AU)