scholarly journals Characterizing the Dynamical Complexity underlying Meditation

2019 ◽  
Author(s):  
Anira Escrichs ◽  
Ana Sanjuan ◽  
Selen Atasoy ◽  
Ane López-González ◽  
César Garrido ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Control Group ◽  
Dynamical Regime ◽  
States Of Consciousness ◽  
Dynamical Complexity ◽  
The One ◽  
The Mind ◽  
The Brain ◽  
Over Time

AbstractOver the past 2,500 years, contemplative traditions have explored the nature of the mind using meditation. More recently, neuroimaging research on meditation has revealed differences in brain function and structure in meditators. Nevertheless, the underlying neural mechanisms are still unclear. In order to understand how meditation shapes global activity through the brain, we investigated the spatiotemporal dynamics across the whole-brain functional network using the Intrinsic Ignition Framework. Recent neuroimaging studies have demonstrated that different states of consciousness differ in their underlying dynamical complexity, i.e., how the broadness of communication is elicited and distributed through the brain over time and space. In this work, controls and experienced meditators were scanned using functional magnetic resonance imaging (fMRI) during resting-state and meditation (focused attention on breathing). Our results evidenced that the dynamical complexity underlying meditation shows less complexity than during resting-state in the meditator group but not in the control group. Furthermore, we report that during resting-state, the brain activity of experienced meditators showed higher metastability (i.e., a wider dynamical regime over time) than the one observed in the control group. Overall, these results indicate that the meditation state operates in a different dynamical regime than the resting-state.

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 Brain stimulation used as biofeedback in neuronal activation of the temporal lobe area in autistic children

2016 ◽  
Vol 74 (8) ◽  
pp. 632-637 ◽  
Author(s):  
Vernon Furtado da Silva ◽  
Mauricio Rocha Calomeni ◽  
Rodolfo Alkmim Moreira Nunes ◽  
Carlos Elias Pimentel ◽  
Gabriela Paes Martins ◽  
...  
Keyword(s):  
Data Collection ◽  
Brain Stimulation ◽  
Mirror Neurons ◽  
Brain Area ◽  
Control Group ◽  
Autistic Children ◽  
Emotional Stimuli ◽  
The One ◽  
The Brain ◽  
Data Collection Procedure

ABSTRACT This study focused upon the functional capacity of mirror neurons in autistic children. 30 individuals, 10 carriers of the autistic syndrome (GCA), 10 with intellectual impairments (GDI), and 10 non-autistics (GCN) had registered eletroencephalogram from the brain area theoretically related to mirror neurons. Data collection procedure occurred prior to brain stimulation and after the stimulation session. During the second session, participants had to alternately process figures evoking neutral, happy, and/or sorrowful feelings. Results proved that, for all groups, the stimulation process in fact produced additional activation in the neural area under study. The level of activation was related to the format of emotional stimuli and the likelihood of boosting such stimuli. Since the increase of activation occurred in a model similar to the one observed for the control group, we may suggest that the difficulty people with autism have at expressing emotions is not due to nonexistence of mirror neurons.

scholarly journals Wrist and finger motor representations embedded in the cerebral and cerebellar resting-state activation

2021 ◽  
Author(s):  
Toshiki Kusano ◽  
Hiroki Kurashige ◽  
Isao Nambu ◽  
Yoshiya Moriguchi ◽  
Takashi Hanakawa ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Body Part ◽  
Resting State Fmri ◽  
Body Parts ◽  
Finger Movements ◽  
Multiple Components ◽  
Brain Activity Pattern ◽  
Motor Representations ◽  
The Brain

AbstractSeveral functional magnetic resonance imaging (fMRI) studies have demonstrated that resting-state brain activity consists of multiple components, each corresponding to the spatial pattern of brain activity induced by performing a task. Especially in a movement task, such components have been shown to correspond to the brain activity pattern of the relevant anatomical region, meaning that the voxels of pattern that are cooperatively activated while using a body part (e.g., foot, hand, and tongue) also behave cooperatively in the resting state. However, it is unclear whether the components involved in resting-state brain activity correspond to those induced by the movement of discrete body parts. To address this issue, in the present study, we focused on wrist and finger movements in the hand, and a cross-decoding technique trained to discriminate between the multi-voxel patterns induced by wrist and finger movement was applied to the resting-state fMRI. We found that the multi-voxel pattern in resting-state brain activity corresponds to either wrist or finger movements in the motor-related areas of each hemisphere of the cerebrum and cerebellum. These results suggest that resting-state brain activity in the motor-related areas consists of the components corresponding to the elementary movements of individual body parts. Therefore, the resting-state brain activity possibly has a finer structure than considered previously.

scholarly journals Evolution in the Brain, Evolution in the Mind: The Hierarchical Brain and the Interface between Psychoanalysis and Neuroscience

2017 ◽  
Vol 19 (3) ◽  
pp. 349-377
Author(s):  
Leonardo Niro Nascimento
Keyword(s):  
Brain Evolution ◽  
The Other ◽  
Common Source ◽  
Evolutionary Models ◽  
Anatomy And Physiology ◽  
Psychodynamically Oriented ◽  
The One ◽  
The Mind ◽  
The Brain ◽  
Shed Light

This article first aims to demonstrate the different ways the work of the English neurologist John Hughlings Jackson influenced Freud. It argues that these can be summarized in six points. It is further argued that the framework proposed by Jackson continued to be pursued by twentieth-century neuroscientists such as Papez, MacLean and Panksepp in terms of tripartite hierarchical evolutionary models. Finally, the account presented here aims to shed light on the analogies encountered by psychodynamically oriented neuroscientists, between contemporary accounts of the anatomy and physiology of the nervous system on the one hand, and Freudian models of the mind on the other. These parallels, I will suggest, are not coincidental. They have a historical underpinning, as both accounts most likely originate from a common source: John Hughlings Jackson's tripartite evolutionary hierarchical view of the brain.

scholarly journals Computerized physical and cognitive training improves the functional architecture of the brain in adults with Down syndrome: A network science EEG study

2020 ◽  
pp. 1-21
Author(s):  
Alexandra Anagnostopoulou ◽  
Charis Styliadis ◽  
Panagiotis Kartsidis ◽  
Evangelia Romanopoulou ◽  
Vasiliki Zilidou ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Functional Connectivity ◽  
Cognitive Training ◽  
Resting State ◽  
Network Architecture ◽  
Right Hemisphere ◽  
Random Network ◽  
Brain Activity ◽  
Hierarchical Organization ◽  
The Brain

Understanding the neuroplastic capacity of people with Down syndrome (PwDS) can potentially reveal the causal relationship between aberrant brain organization and phenotypic characteristics. We used resting-state EEG recordings to identify how a neuroplasticity-triggering training protocol relates to changes in the functional connectivity of the brain’s intrinsic cortical networks. Brain activity of 12 PwDS before and after a 10-week protocol of combined physical and cognitive training was statistically compared to quantify changes in directed functional connectivity in conjunction with psychosomatometric assessments. PwDS showed increased connectivity within the left hemisphere and from left-to-right hemisphere, as well as increased physical and cognitive performance. Our findings reveal a strong adaptive neuroplastic reorganization as a result of the training that leads to a less-random network with a more pronounced hierarchical organization. Our results go beyond previous findings by indicating a transition to a healthier, more efficient, and flexible network architecture, with improved integration and segregation abilities in the brain of PwDS. Resting-state electrophysiological brain activity is used here for the first time to display meaningful relationships to underlying Down syndrome processes and outcomes of importance in a translational inquiry. This trial is registered with ClinicalTrials.gov Identifier NCT04390321.

scholarly journals Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training

2021 ◽  
Author(s):  
Takashi Nakano ◽  
Masahiro Takamura ◽  
Haruki Nishimura ◽  
Maro Machizawa ◽  
Naho Ichikawa ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Connectivity ◽  
Brain Activity ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Posterior Cingulate Cortex ◽  
Fmri Data ◽  
Independent Test ◽  
The Individual ◽  
The Brain

AbstractNeurofeedback (NF) aptitude, which refers to an individual’s ability to change its brain activity through NF training, has been reported to vary significantly from person to person. The prediction of individual NF aptitudes is critical in clinical NF applications. In the present study, we extracted the resting-state functional brain connectivity (FC) markers of NF aptitude independent of NF-targeting brain regions. We combined the data in fMRI-NF studies targeting four different brain regions at two independent sites (obtained from 59 healthy adults and six patients with major depressive disorder) to collect the resting-state fMRI data associated with aptitude scores in subsequent fMRI-NF training. We then trained the regression models to predict the individual NF aptitude scores from the resting-state fMRI data using a discovery dataset from one site and identified six resting-state FCs that predicted NF aptitude. Next we validated the prediction model using independent test data from another site. The result showed that the posterior cingulate cortex was the functional hub among the brain regions and formed predictive resting-state FCs, suggesting NF aptitude may be involved in the attentional mode-orientation modulation system’s characteristics in task-free resting-state brain activity.

The Effect of Crystal Dependence on Brain Activity Related to the Perception of Pleasure Using fMRI

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Ali Yoonessi ◽  
Seyed Amir Hossein Batouli ◽  
Iman Ahmadnezhad ◽  
Hamid Soltanian-zadeh
Keyword(s):  
Case Control Study ◽  
Brain Activity ◽  
Economic Status ◽  
Smoking History ◽  
Control Group ◽  
Human Society ◽  
Significant Difference ◽  
History Of ◽  
The Brain ◽  
Control Study

Background: Addiction is currently one of the problems of human society. Drug abuse is one of the most important issues in the field of addiction. Methamphetamine (crystal) is one of the drugs that has been abused in recent decades. Methods: In this case-control study, 10 individuals aged 20 to 40 years old with at least 2 years of experience of methamphetamine consumption without any history of drug use or other stimulants from clients and drug withdrawal centers in Tehran City, and 10 healthy volunteers were selected. Age, social status, and economic status of addicts were included in the fMRI apparatus, and 90 selected pleasurable, non-pleasurable, and neutral images (IAPS) were displayed by the projector through an event-related method. The playback time of each photo was 3 s, and after this process, the person outside the device, without the time limit selected the enjoyable and unpleasant images. Results: The results showed that there was no significant difference between the groups in terms of age, alcohol use, and smoking history (P < 0.05). There was no significant difference in terms of the age at first use between members of the methamphetamine-dependent group. Also, the methamphetamine-dependent group showed more brain activity in their pre-center and post-center gyrus than the normal (control) group. Conclusions: According to the results obtained in this study, in general, it can be concluded that there are some areas in the brain of addicts that are activated when watching pleasant photos, while these areas are not active in the brains of normal people.

Inter-Hemispherical Investigations on the Functional Connectivity in Controls and Autism Spectrum Using Resting State fMRI

2020 ◽  
pp. 169-186
Author(s):  
S. Vidhusha ◽  
A. Kavitha
Keyword(s):  
Functional Connectivity ◽  
Granger Causality ◽  
Resting State ◽  
Cognitive Task ◽  
Resting State Fmri ◽  
Autism Spectrum ◽  
Control Group ◽  
Neural Connectivity ◽  
Activation Patterns ◽  
The Brain

Autism spectrum disorders are connected with disturbances of neural connectivity. Functional connectivity is typically examined during a cognitive task, but also exists in the absence of a task. While a number of studies have performed functional connectivity analysis to differentiate controls and autism individuals, this work focuses on analyzing the brain activation patterns not only between controls and autistic subjects, but also analyses the brain behaviour present within autism spectrum. This can bring out more intuitive ways to understand that autism individuals differ individually. This has been performed between autism group relative to the control group using inter-hemispherical analysis. Indications of under connectivity were exhibited by the Granger Causality (GC) and Conditional Granger Causality (CGC) in autistic group. Results show that as connectivity decreases, the GC and CGC values also get decreased. Further, to demark the differences present within the spectrum of autistic individuals, GC and CGC values have been calculated.

Mind, identity theory of

2018 ◽  
Author(s):  
Frank Jackson
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Identity Theory ◽  
Brain Activity ◽  
Modern Science ◽  
Mental States ◽  
Ontological Categories ◽  
Great Merit ◽  
The Mind ◽  
The Brain

We know that the brain is intimately connected with mental activity. Indeed, doctors now define death in terms of the cessation of the relevant brain activity. The identity theory of mind holds that the intimate connection is identity: the mind is the brain, or, more precisely, mental states are states of the brain. The theory goes directly against a long tradition according to which mental and material belong to quite distinct ontological categories – the mental being essentially conscious, the material essentially unconscious. This tradition has been bedevilled by the problem of how essentially immaterial states could be caused by the material world, as would happen when we see a tree, and how they could cause material states, as would happen when we decide to make an omelette. A great merit of the identity theory is that it avoids this problem: interaction between mental and material becomes simply interaction between one subset of material states, namely certain states of a sophisticated central nervous system, and other material states. The theory also brings the mind within the scope of modern science. More and more phenomena are turning out to be explicable in the physical terms of modern science: phenomena once explained in terms of spells, possession by devils, Thor’s thunderbolts, and so on, are now explained in more mundane, physical terms. If the identity theory is right, the same goes for the mind. Neuroscience will in time reveal the secrets of the mind in the same general way that the theory of electricity reveals the secrets of lightning. This possibility has received enormous support from advances in computing. We now have at least the glimmerings of an idea of how a purely material or physical system could do some of the things minds can do. Nevertheless, there are many questions to be asked of the identity theory. How could states that seem so different turn out to be one and the same? Would neurophysiologists actually see my thoughts and feelings if they looked at my brain? When we report on our mental states what are we reporting on – our brains?

Hallucinogens: Magic Mushrooms, Ayahuasca, Mescal Buttons, and Dr. Hofmann’s Problem Child

2020 ◽  
Author(s):  
Jerrold Winter
Keyword(s):  
Daily Life ◽  
Religious Experiences ◽  
Drug Induced ◽  
States Of Consciousness ◽  
University Of Berlin ◽  
The One ◽  
The Mind ◽  
The University ◽  
Paranoid Psychosis ◽  
Unusual Problem

There are about 400,000 species of plants in this world. Only a small fraction, perhaps 100 in number, contain hallucinogenic chemicals. Nearly a century ago, Lewis Lewin, professor of pharmacology at the University of Berlin, in speaking of drugs he called phantasticants, said “The passionate desire which . . . leads man to flee from the monotony of daily life . . . has made him discover strange substances (which) have been integral to human evolution both societal and cultural for thousands of years.” An unusual problem presents itself to me in writing about these drugs: They straddle the worlds of science and mysticism. The Encyclopedia Britannica defines mysticism as the practice of religious ecstasies (religious experiences during alternate states of consciousness), together with whatever ideologies, ethics, rites, myths, legends, and magic may be related to them. Science I am comfortable with; mysticism not so much. Yet in our exploration of the agents found in this chapter, we will encounter many persons speaking of drug-induced mystical experiences. I have attempted to get around my unease by first providing the history and the pharmacology of these agents and then touching only lightly on mysticism, allowing readers to draw their own conclusions. What shall we call these chemicals? Hallucinogen, a substance that induces perception of objects with no reality, is the term most commonly encountered and the one that I have settled on for the title of this chapter. However, it comes with a caveat. Albert Hofmann, the discoverer of LSD, our prototypic hallucinogen, has pointed out that a true hallucination has the force of reality, but the effects of LSD only rarely include this feature. Two additional terms that we will find useful are psychotomimetic and psychedelic. We have already considered the former, an ability to mimic psychosis, in our discussion of amphetamine-induced paranoid psychosis in chapter 4 and the effects of phencyclidine in chapter 6. A psychedelic was defined in 1957 by Humphrey Osmond, inventor of the word, as a drug like LSD “which enriches the mind and enlarges the vision.”

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