Relevant bibliographies by topics / Functional connectivity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Functional connectivity'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 September 2024

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Journal articles on the topic "Functional connectivity"

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Shi, Yuhu. "Dynamic Functional Connectivity Analysis of Seafarer’s Brain Functional Networks." International Journal of Pharma Medicine and Biological Sciences 9, no. 1 (January 2020): 33–37. http://dx.doi.org/10.18178/ijpmbs.9.1.33-37.

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Pillai, Jay J. "Functional Connectivity." Neuroimaging Clinics of North America 27, no. 4 (November 2017): i. http://dx.doi.org/10.1016/s1052-5149(17)30097-7.

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Pillai, Jay J. "Functional Connectivity." Neuroimaging Clinics of North America 27, no. 4 (November 2017): xvii. http://dx.doi.org/10.1016/j.nic.2017.08.001.

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Mukherji, Suresh K. "Functional Connectivity." Neuroimaging Clinics of North America 27, no. 4 (November 2017): xv. http://dx.doi.org/10.1016/j.nic.2017.08.002.

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Vogt, Peter, Joseph R. Ferrari, Todd R. Lookingbill, Robert H. Gardner, Kurt H. Riitters, and Katarzyna Ostapowicz. "Mapping functional connectivity." Ecological Indicators 9, no. 1 (January 2009): 64–71. http://dx.doi.org/10.1016/j.ecolind.2008.01.011.

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Ioannides, Andreas A. "Dynamic functional connectivity." Current Opinion in Neurobiology 17, no. 2 (April 2007): 161–70. http://dx.doi.org/10.1016/j.conb.2007.03.008.

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Höller, Yvonne, Viviana Versace, Eugen Trinka, and Raffaele Nardone. "Functional connectivity after hemispherectomy." Quantitative Imaging in Medicine and Surgery 10, no. 5 (May 2020): 1174–78. http://dx.doi.org/10.21037/qims.2020.03.17.

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Tomasi, D., and N. D. Volkow. "Functional connectivity density mapping." Proceedings of the National Academy of Sciences 107, no. 21 (May 10, 2010): 9885–90. http://dx.doi.org/10.1073/pnas.1001414107.

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Tang, Cheuk Ying, and Ramachandran Ramani. "Functional Connectivity and Anesthesia." International Anesthesiology Clinics 54, no. 1 (2016): 143–55. http://dx.doi.org/10.1097/aia.0000000000000083.

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Duff, Eugene P., Tamar Makin, Michiel Cottaar, Stephen M. Smith, and Mark W. Woolrich. "Disambiguating brain functional connectivity." NeuroImage 173 (June 2018): 540–50. http://dx.doi.org/10.1016/j.neuroimage.2018.01.053.

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Dissertations / Theses on the topic "Functional connectivity"

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Rahal, Line. "Imagerie fonctionnelle ultrasonore du cerveau pour l'étude, le suivi et le traitement de la douleur aiguë et chronique." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLET041.

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Ces travaux de thèse visaient à démontrer l’intérêt de l’imagerie fonctionnelle ultrasonore pour la définition et le suivi de traitements thérapeutiques des manifestations douloureuses aiguës et chroniques. Dans le cadre d’un projet commun mêlant physique des ondes, imagerie, neurosciences et douleur, nous avons montré que cette jeune technologie d’imagerie pouvait être appliquée à l’imagerie de la douleur chez le petit animal anesthésié, à différents niveaux du système nerveux.Dans le but d’avoir une anesthésie adaptée, stable, reproductible d’un animal à l’autre, et contenant le moins d’agents modulateurs de la douleur possible, nous avons comparé six protocoles d’anesthésie différents. Cette étude a conclu que l’utilisation d’un mélange de kétamine et de médétomidine était le meilleur compromis pour nos futures expérimentations en douleur.La première étude sur les processus de la douleur s’est concentrée sur le test à la formaline, un modèle bien caractérisé de douleur inflammatoire court terme (1h). En effet, notre souhait était de débuter sur un modèle de douleur aiguë le plus court possible pouvant être réalisé chez l’animal anesthésié. Sur ce modèle, nous n’avons observé aucun changement significatif de connectivité fonctionnelle dans le cerveau des rats injectés. Nous avons alors choisi de nous tourner vers des modèles de douleur inflammatoire plus persistants.La seconde étude de cette thèse a porté sur l’étude des altérations de connectivité fonctionnelle et d’états cérébraux dans deux modèles de douleur inflammatoire : un modèle à court terme, induit par injection unilatérale d’adjuvant de Freund, et un modèle à long terme, qui est la polyarthrite induite par adjuvant (quatre semaines d’inflammation bilatérale). Tandis que nous n’avons pas obtenu de résultats significatifs d’altérations fonctionnelles dans le modèle court terme, le modèle long terme nous a apporté de nombreuses informations sur les altérations du système nerveux central pendant le processus de chronicisation.Enfin, la dernière étude a porté sur l’imagerie fonctionnelle ultrasonore des ganglions trigéminaux, structures du système nerveux périphérique, à la fois petites et profondes. Nous avons cherché à caractériser la réponse vasculaire de ces ganglions suite à des stimulations nociceptives mécaniques et chimiques de la cornée chez le rat anesthésié. Cette étude nous a permis de confirmer les observations obtenues par immunohistochimie du proto-oncogène c-fos et de valider l’imagerie fonctionnelle ultrasonore comme modalité pour l’imagerie de l’activation des ganglions trigéminaux chez le rat anesthésié, pour l’étude de la douleur trigéminale
Those thesis works aimed at demonstrating the value of functional ultrasound imaging for the definition and the tracking of acute and chronic pain therapeutic treatments. As part of a common project intertwining wave physics, imaging, neurosciences and pain, we demonstrated that this young imaging technology can be applied to pain imaging on the anesthetized small animal, at different levels of the nervous system.With the aim of obtaining an adapted anaesthesia, stable, reproducible from one animal to another, and containing as less pain modulating agents as possible, we compared six different anaesthetics protocols. This study was concluded by the use of the ketamine and medetomidine mixture as the best compromise for our future experiments in pain.The first study on pain processes has focused on the formaline test, a well characterized model of short term inflammatory pain (1h). Indeed, our wish was to start with an acute pain model as short as possible which may be performed on the anesthetized animal. With this model, we didn’t observe any significant change of functional connectivity in the brain of the injected rats. We then chose to turn to more ongoing models of inflammatory pain.The second study of this thesis dealt with the study of the functional connectivity and brain states alterations in two models of inflammatory pain: a short term model, induced by unilateral injection of Freund’s adjuvant, and a long term model, which is adjuvant induced polyarthritis (four weeks of bilateral inflammation). While we didn’t obtain significant results of functional alterations in the short term model, the long term model gave us ample information on the central nervous system alterations during the chronification process.Finally, the last study concerns the ultrasound functional imaging of the trigeminal ganglions, peripheral nervous system structures, both small and deeply located. We tried to characterize the vascular response of those ganglions following mechanical and chemical nociceptive stimulations of the cornea on the anesthetized rat. This study allowed us to confirm the observations obtained by immunohistochemistry of the proto-oncogene c-fos and to validate the functional ultrasound imaging as a modality for the imaging of the trigeminal ganglions in the anesthetized rat, for the study of trigeminal pain
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Nylén, Jan. "Exploring Ways of Visualizing Functional Connectivity." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-141182.

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Functional connectivity is a field within neuroscience where measurements of co-activation between brain regions are used to test various hypotheses or explore how the brain activates depending on a given situation or task. After analysis, the underlying data in the field consists of a n by n adjacency matrix where each cell represents a correlation value between two regions in the brain. Depending on the research question the number of regions and matrices incorporated varies and new visualizations are needed in order to portray them. In this thesis the design of an interactive web based visualization tool for functional connectivity was explored through an iterative design process. The design of the tool was based on existing guidelines, interviews and best practices in data visualization as well as an analysis of current visualization solutions used in functional connectivity. The final concept and prototype uses a network plot for functional connectivity called the connectogram as well as a grouped bar graph to provide an intuitive and accessible way of comparing functional connectivity data by interacting with and highlighting networks and specific network data through direct manipulation. Results of qualitative evaluations of a prototype using data from a concurrent scientific project is presented. The prototype was found to be useful, engaging, easily perceivable and offered an easy and quick way of exploring data sets.
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Goldstone, Aimée. "Functional connectivity of the ageing brain." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7651/.

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This thesis investigated the impact of advancing age on modifying the functional connectivity (FC) of both typical cortical resting-state networks and subcortical structures in the human brain. Furthermore, it explored how any differences in FC may be associated with changes in sleep quality, also thought to be affected by age, and how such interactions may contribute to typical cognitive disruption associated with older age. The results suggest that older age is associated with the heterogeneous, spatially specific re-organisation of resting-state networks (RSNs), as well as indicating gender-specific spatial re-organisation. Investigation of thalamic FC revealed that older adults exhibited greater thalamo-sensory and thalamo-hippocampal FC, which was related to cognitive performance on RT and memory tasks, respectively. Investigation into participant’s sleep patterns provided evidence that sleep quality was more variable amongst the older participants. Furthermore, older adults that slept the longest each night were found to exhibit patterns of thalamic FC which were associated with better cognitive performance, than seen in older shorter sleepers. These results provide preliminary evidence that sleep may be associated with more ‘preferable’ patterns of FC in older adults which may be beneficial for cognitive function.
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Merz, Susanne. "Functional connectivity in disorders of consciousness." Thesis, University of Aberdeen, 2013. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=211209.

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Disorders of consciousness (DoC) are a group of disorders that can occur after severe brain injury. DOC have been subdivided based on behavioural observations into: Coma, lacking any signs of wakefulness or awareness; the vegetative state, showing signs of wakefulness but lacking any signs of awareness; and the minimally conscious state, showing signs of wakefulness and infrequent and irregular signs of awareness. The so-called locked-in syndrome, a state where both wakefulness and awareness are intact, but no communication is possible due to a lack of muscle function, does not belong to the disorders of consciousness. However, it is difficult to distinguish the locked-in syndrome from DoC diagnostically, because consciousness can only be shown through consistent responses to a command and current methods for assessing consciousness rely on behavioural responses. Patients with locked-in syndrome might not be able to move voluntarily at all in the most severe cases. Behavioural assessment would then classify them as unaware. While this is an extreme and rare case, it illustrates the problem behavioural assessment poses. Such assessments are unable to distinguish the effects of impaired muscular control from impaired awareness, when either has reached an extreme level of severity. Brain damage that does not affect consciousness itself can nevertheless affect the results of the behavioural assessment of consciousness. It is then hardly surprising that the diagnosis of DoC is associated with a high level of uncertainty. The advantage of brain imaging methods is that they do not rely on the patients ability to produce a consistent behavioural response. There have therefore been efforts to use the brain imaging methods electroencephalography, positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) to aid diagnosis of disorder of consciousness. PET and fMRI have successfully been used to identify regions of difference in some patients in a DoC. Task-based fMRI has been used to identify intact consciousness, using tasks that require explicit understanding of instructions and wilful modulation of brain activity, but no motor control. One of these tasks consists of periods where the participant imagines playing tennis alternated with periods of rest. The ability to follow this paradigm is evidence of consciousness, and a few patients with a diagnosis of DoC have been shown to be able to do this task. However, the tennis task requires high order processing of the tasks requirements and the majority of patients does not respond to this task. fMRI tasks that test sensory modalities instead of consciousness have been used to show retained brain function even in DoC patients that do not respond to the tennis task. In this work the tennis task and a battery of other tasks including tactile, visual and auditory stimulation, were studied on a group of DoC patients. It was found that none of the patients responded to the task of imagining playing tennis, but retained sensory function could be identified in three out of seven patients. This highlights a strength of fMRI, namely that it can identify retained brain function below the level that is necessary for consciousness. However, the results also show that more than half of the patients studied here, did not show retained brain activation during the fMRI scan. For any of the patients that did not show a response, this can be due to an actual lack of retained brain function, but it can also be due to limitations of the task-based fMRI analysis. The fMRI tasks only test one sensory function at a time, for a short time. Thus a visual fMRI task for example, can only provide information about areas of the brain, that are involved in visual processing. And when vigilance is fluctuating, retained brain function can remain undetected, if vigilance is low during the scan. Functional connectivity analysis is a method to study internal connections between brain areas that is not dependent on an external task. It models the brain as a network of interconnected regions and studies the characteristics of this network. Graph theory is a mathematical field that has found application on many other fields using network analysis, like social sciences, metabolic network modelling or gene network modelling. In fMRI analysis, graph theory has been used to study different phenomena and pathologies and global network properties have been shown reproducibly. The work presented here aims to develop new methods based in graph theory aiding the identification of residual brain integrity. To allow an assessment of the brain network topology and its use in the assessment of residual brain integrity, a novel method was designed based on a graph theoretical measure. The method, termed Cortical Hubs And Related network Topology (CHART) is a two stage procedure. The rst stage identifies statistically significant differences in functional connectivity between two groups, using a measure of the average connectivity of each voxel, the weighted global connectivity. The second stage highlights the topology of the networks associated with those differences. Two fMRI datasets, with different underlying tasks and pathologies were used to test the CHART method. The first dataset was acquired from a group of patients with severe depression. It contrasted the state of the brain before and after successful treatment with electroconvulsive therapy. In this patient group the CHART method was able to identify an area of hyperconnectivity in the depressed state, compared to the treated state. This area of hyperconnectivity was connected to areas that had priorly been shown to be overly connected in the depressed state. The second dataset consisted of DoC patients, that had been extensively assessed behaviourally. Half of the patients were diagnosed to be in a vegetative state, the other half was diagnosed to be in a minimally conscious state. The first stage of CHART identified several areas of difference based on the weighted global connectivity. The second stage highlighted that the observed global differences were due to an overall lack of extended functional connectivity in the vegetative state patients. The addition of a healthy control group in stage two allowed comparison not only between the two DoC groups, but also with the healthy group. In summary it was observed that the spatial extent of the connectivity seen in the minimally conscious group resembles the spatial extent of the connectivity seen in the healthy control group, while the spatial extent of connectivity observed in the vegetative state group was minimal, compared to both healthy and minimally conscious group. Thus the spatial extent of connectivity is a distinguishing property for the vegetative state group studied here. However the first stage of the CHART method is a group based method. In disorders of consciousness, where the underlying pathology is different from case to case, this concept is problematic. Finding a meaningful group of interest is difficult or impossible, because lesions differ in location and extent. Individual differences in connectivity can be expected to be large, and a generalisation of the CHART result might not lead to improved diagnosis for every patient. For diagnosis, the patients individual characteristics must be taken into account. An additional objective of this work was therefore to develop a method to compare a single patient to a group of controls. An approach based on regression modelling was tested but failed to provide the necessary statistical sensitivity to detect impaired connectivity. In conclusion the CHART method developed in this work provides insights into the functional connectivity of a group of DoC patients. To assist diagnosis, further development of a method to compare a single subject to a group of controls will be important.
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Nauhaus, Ian Michael. "Functional connectivity in primary visual cortex." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1692099811&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Ghumman, Sukhmanjit. "Functional connectivity in patients with brain tumours." Mémoire, Université de Sherbrooke, 2018. http://hdl.handle.net/11143/12001.

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Abstract: The default mode network of the brain is a set of functionally connected regions associated with introspection and daydreaming. Recent fMRI studies have discovered that the default mode network is often perturbed in the diseased brain. For example, the default mode network is known to be modulated in dementia, ADHD, depression, and schizophrenia, among others. This has led many into believing that this network could have a role in the physiopathology of nervous system disease, or could be a useful marker of brain function. However, very few studies have yet been done which investigate how surgical lesions such as brain tumours affect the default mode network. Consequently, the goal of this project was to characterise the effect of brain tumours on the default mode network based on their location, histological type, and other parameters.
Le mode de fonctionement par défaut du cerveau est un réseau cérébral associé à la rêverie et à l’introspection. Des études récentes sur ce réseau ont découvert qu’il est perturbé dans plusieurs pathologies cérébrales. Par example, le mode de fonctionnement par défaut est modulé en démence, TDAH, dépression, schizophrénie et plusieurs autres maladies liés au cerveau. Ceci a mené à l’hypothèse que le mode de fonctionnement par défaut pourrait avoir un rôle dans la physiopathologie des maladies du système nerveux, ou pourrait être un marqueur utile du fonctionnement cérébral. Par contre, très peu d’études ont investigué l’effet de lésions chirurgicaux comme les tumeurs cérébrales sur le mode de fonctionnement par défaut. Par conséquent, le but de ce projet était de caractériser l’importance de l’histologie, de la localisation et de plusieurs autres paramètres de l’effet d’une tumeur cérébrale sur le mode de fonctionnement par défaut.
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Björnfot, Cecilia. "Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906.

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During resting state the brain exhibits synchronized activity within all major brain networks. Using blood oxygen level dependent (BOLD) resting state functional magnetic resonance imaging (fMRI) based detection it is possible to quantify the degree of correlation, connectivity, between regions of interest and assess information regarding the integrity of the inter-regional functional integration. A newly available multiband echo planar imaging (EPI) fMRI sequence allows for faster scan times which possibly allows us to better examine large-scale networks and increase the understanding of brain function/dysfunction. This thesis will assess how the newly developed sequence compares to a conventional EPI sequence for detecting resting state connectivity of canonical brain networks. The data acquisitions were made on a 3 Tesla scanner using a 32 channel head coil. The hypothesis was that the multiband sequence would produce a better result since it has faster sampling rate, thus more data points in its time-series to support the statistical analyses. Using Pearson’s linear correlation between the average time-series (approximately 12 minutes long) within a seed-region and all voxels contained in the image volume, correlation maps where created for each of the eight participants using data normalized to Montreal Neurological Institute (MNI) space. The resting state networks (RSN) were then found by performing a one sample T-test on group level. Six seed-coordinates, based on literature, where used revealing the the homotopic connections in anterior Hippocampus, Motor cortex, Dorsal attention, Visual and the Default mode network (DMN) as well for an anterior-posterior connection in the DMN. By comparing the maximum T-values within the regions for the RSN no systematic difference could be found between the multiband and conventional fMRI data. Further tests were conducted to evaluate if the sequences would differentiate in their results if the acquisition time was shortened, i.e shortening the time-series in the voxels. However no such difference could be established.Importantly, the results are specific to the 32 channel head coil used in the current study. Presumably recently available and improved coil designs could better exploit the multiband technique.
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Ing, Alex. "Comparing functional connectivity across the whole brain." Thesis, University of Aberdeen, 2014. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=225661.

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Functional connectivity MRI (fcMRI) based on the blood oxygen level dependent (BOLD) contrast has become a widely used modality for mapping the brain's functional architecture. In recent years, applications of fcMRI have led to numerous breakthroughs in both clinical research and basic sciences. However, there are a number of unresolved issues associated with fcMRI relating to both the modality itself, and to methods used to analyse fcMRI data. The aim of this thesis was twofold: to develop novel data analysis procedures, and to demonstrate their feasibility in dedicated neuroimaging studies. Subject head movement can act as a significant confound in fcMRI. Investigating this issue, it was found that subject motion can induce significant increases and decreases in functional connectivity across the brain. A novel motion correction method was developed, which proved more effective than standard procedures in the removal of motion induced connectivity changes. The BOLD contrast is not a direct measure of neural activity, it measures the hemodynamic response caused by changes in neural activity, which varies across the brain. The hypercapnic state is often used to calibrate the BOLD signal. This calibration crucially relies on the assumption that hypercapnia does not affect neuronal activity. An investigation into the hypercapnic state revealed that it is associated with both increases and decreases in functional connectivity. Whilst carrying out this investigation, a number of limitations, such as the need for a hypothesis and information loss, were identified in standard data analysis procedures. Three novel methods were developed to address these limitations. The efficacy of these methods was demonstrated in four different neuroimaging studies, which investigated functional connectivity changes induced by hypercapnia, aerobic exercise, hormonal changes across the menstrual cycle, and electroconvulsive therapy treatment in depression.
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Stringer, Michael S. "Functional connectivity approaches to focal neurological conditions." Thesis, University of Aberdeen, 2016. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231782.

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A wide range of conditions are characterised by focal neurological symptoms, yet the pathophysiolgy often remains poorly understood. This thesis has focussed on applying functional neuroimaging in clinical groups. Migraines with aura are amongst the most common conditions posing a significant burden to sufferers. Elevated connectivity was detected in the visual cortex of migraine with aura patients, potentially complementing one of the leading proposed mechanisms for attacks. Minor strokes patients are also affected by focal symptoms after events which in some cases can be prolonged. Altered connectivity was observed in a number of regions reflecting previous findings for acute stroke. A group of transient ischaemic attack patients were also analysed, revealing subtle differences necessitating further study. Lastly disorders of consciousness pose acute challenges for treatment and ongoing care. Task based imaging was applied to form a more accurate picture of residual cognition. Additionally the correlation between measures derived from resting state data and cerebral glucose consumption was explored.
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Narayanan, Ananth. "Pharmacological Modulation of Functional Connectivity in Neuropsychological Disorders." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1353086436.

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Books on the topic "Functional connectivity"

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Nikitchenko, Maxim V. Inference of functional neural connectivity and convergence acceleration methods. [New York, N.Y.?]: [publisher not identified], 2013.

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Pastore, Vito Paolo. Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59042-0.

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Hinkle, William. Neural Mechanisms Mediating the Effects of Food Cues and Acute Exercise: A functional Magnetic Resonance Imaging and Functional Connectivity Investigation. [New York, N.Y.?]: [publisher not identified], 2013.

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Pantazatos, Spiro. Large-scale Functional Connectivity in the Human Brain Reveals Fundamental Mechanisms of Cognitive, Sensory and Emotion Processing in Health and Psychiatric Disorders. [New York, N.Y.?]: [publisher not identified], 2014.

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International Business Machines Corporation. International Technical Support Organization, ed. Communications server for z/OS V1R9 TCP/IP implementation: Base functions, connectivity, and routing. Poughkeepsie, N.Y: IBM Corporation, International Technical Support Organization, 2008.

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International Business Machines Corporation. International Technical Support Organization, ed. IBM Z/Os V1r11 Communications Server Tcp/Ip implementation: Basic functions, connectivity, and routing. [Poughkeepsie, NY]: IBM, International Technical Support Organization, 2010.

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International Business Machines Corporation. International Technical Support Organization, ed. IBM z/OS V1R13 Communications Server TCP/IP implementation: Base functions, connectivity, and routing. [Poughkeepsie, NY?]: IBM Corporation, International Technical Support Organization, 2012.

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International Business Machines Corporation. International Technical Support Organization, ed. IBM z/OS V1R10 Communications Server TCP/IP Implementation: Base functions, connectivity, and routing. [United States?]: IBM, International Technical Support Organization, 2009.

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Borzyh, Stanislav. Pananthropea. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1218149.

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The monograph is dedicated to the supercontinent Pananthropea, which was created by the efforts of people, and therefore is named in his honor. It consists of all purely geographical continents, as well as all land areas, representing a single organism that functions exactly as a whole, but at the same time divided by nature itself. The relevance of this approach is shown as follows, as described in the three chapters of the text. First, it demonstrates the physical connectivity of all regions of our planet with each other, which is expressed in a change in the logic of the topology, today planted and controlled by man. Secondly, the presence of this huge and unbroken array is evidenced by the biological component of the world economy, which we have also transformed to suit our needs, thereby redrawing the natural course of affairs in this area and turning it into a global one. Third, the same is true of the cultural domain of our life, which at some point became universal, which again was achieved for the sake of our goals and interests, as a result of which we are all now members of a single interconnected association. It is of interest to both specialists and a wide audience and will be useful for us to understand both ourselves and the reality that we have constructed.
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Soriano-Mas, Carles, and Ben J. Harrison. Brain Functional Connectivity in OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0024.

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This chapter provides an overview of studies assessing alterations in brain functional connectivity in obsessive-compulsive disorder (OCD) as assessed by functional magnetic resonance imaging (fMRI). Although most of the reviewed studies relate to the analysis of resting-state fMRI data, the chapter also reviews studies that have combined resting-state with structural or task-based approaches, as well as task-based studies in which the analysis of functional connectivity was reported. The main conclusions to be drawn from this review are that patients with OCD consistently demonstrate altered patterns of brain functional connectivity in large-scale “frontostriatal” and “default mode” networks, and that the heterogeneity of OCD symptoms is likely to partly arise via distinct modulatory influences on these networks by broader disturbances of affective, motivational, and regulatory systems. The variable nature of some findings across studies as well as the influence of medications on functional connectivity measures is also discussed.
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Book chapters on the topic "Functional connectivity"

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Ward, Tracey, Raphael Bernier, Cora Mukerji, Danielle Perszyk, James C. McPartland, Ellen Johnson, Susan Faja, et al. "Functional Connectivity." In Encyclopedia of Autism Spectrum Disorders, 1363–70. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_218.

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Hampson, Michelle, Xilin Shen, and R. Todd Constable. "Functional Connectivity MR Imaging." In Functional Neuroradiology, 355–71. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-0345-7_21.

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Horien, Corey, Xilin Shen, Dustin Scheinost, R. Todd Constable, and Michelle Hampson. "Functional Connectivity MR Imaging." In Functional Neuroradiology, 521–41. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-10909-6_24.

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Hampson, Michelle, Xilin Shen, and R. Todd Constable. "Functional Connectivity MR Imaging." In Functional BOLD MRI, 83–104. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1995-6_6.

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Bestmann, Sven. "Functional Modulation of Primary Motor Cortex During Action Selection." In Cortical Connectivity, 183–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45797-9_10.

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Polanía, Rafael, Michael A. Nitsche, and Walter Paulus. "Modulation of Functional Connectivity with Transcranial Direct Current Stimulation." In Cortical Connectivity, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45797-9_7.

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Botha, Hugo, and David T. Jones. "Functional Connectivity in Dementia." In The Neuroimaging of Brain Diseases, 245–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78926-2_11.

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Bob, Petr. "Consciousness and Functional Connectivity." In Brain, Mind and Consciousness, 27–48. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0436-1_3.

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Cuesta, P., R. Bajo, J. García-Prieto, L. Canuet, and F. Maestú. "Functional Connectivity and Magnetoencephalography." In Converging Clinical and Engineering Research on Neurorehabilitation II, 1353–57. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46669-9_221.

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Chang, Kai-Yen, Yuki Mizutani-Tiebel, Aldo Soldini, Frank Padberg, and Daniel Keeser. "tDCS and Functional Connectivity." In Transcranial Direct Current Stimulation in Neuropsychiatric Disorders, 159–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76136-3_9.

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Conference papers on the topic "Functional connectivity"

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Tao, Ye, Anand D. Sarwate, Sandeep Panta, Sergey Plis, and Vince D. Calhoun. "Privacy-Preserving Visualization of Brain Functional Network Connectivity." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635222.

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Alvarado-Rojas, Catalina, Joyel Almajano, Jerome Engel, and Anatol Bragin. "Functional connectivity during epileptogenesis." In 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA). IEEE, 2015. http://dx.doi.org/10.1109/stsiva.2015.7330424.

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Deligianni, Fani, Emma C. Robinson, Christian F. Beckmann, David Sharp, A. David Edwards, and Daniel Rueckert. "Inference of functional connectivity from structural brain connectivity." In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2010. http://dx.doi.org/10.1109/isbi.2010.5490188.

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Stankova, Mariya, and Maksym Dimitrov. "CONCEPTUAL FRAMEWORK FOR TOURISM DESTINATION COMPETITIVENESS IN THE FACE OF GLOBAL FUNCTIONAL TRANSFORMATION." In TOURISM AND CONNECTIVITY 2020. University publishing house "Science and Economics", University of Economics - Varna, 2020. http://dx.doi.org/10.36997/tc2020.165.

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Tourism is among the industries that record globally, the most rapid rate of development. Being a highly dynamic sector, modern tourism forms the third largest volume in international trade operations, after the oil and automobile industries. It is distinguished by its vulnerability to external economic, political and nature factors, but also by its great flexibility in relation to the ongoing transformation processes. In this dynamic and changing environment, the tourism industry and tourist destinations are exposed to the global competition pressure. Regarding to that, this paper explores the role of possible approaches to the destination management for improving the whole process of competitiveness increase, with accent on the cluster concept. The results show that in the frame of common approach in the management of tourist destination, when developing a model for approving its success and competitiveness, a modification on clusters' approach is purposeful to adapt.
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Alkan, Yelda, Suril Gohel, Bharat B. Biswal, and Tara L. Alvarez. "Functional connectivity in oculomotor movements." In 2010 36th Annual Northeast Bioengineering Conference. IEEE, 2010. http://dx.doi.org/10.1109/nebc.2010.5458273.

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Culver, Joseph P. "Optical Imaging of Functional Connectivity." In Bio-Optics: Design and Application. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/boda.2015.brm4b.1.

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Huang, Kejun, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, and Tom M. Mitchell. "Principled Neuro-Functional Connectivity Discovery." In Proceedings of the 2015 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2015. http://dx.doi.org/10.1137/1.9781611974010.71.

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Culver, Joseph P. "Optical Imaging of Functional Connectivity." In Optics and the Brain. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/brain.2015.brm4b.1.

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Abidin, Anas Z., Adora M. DSouza, Udaysankar Chockanathan, Axel Wismüller, and Giovanni Schifitto. "Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2018. http://dx.doi.org/10.1117/12.2293863.

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Ravanshid, Azad, Peter Rost, Diomidis S. Michalopoulos, Vinh V. Phan, Hajo Bakker, Danish Aziz, Shreya Tayade, Hans D. Schotten, Stan Wong, and Oliver Holland. "Multi-connectivity functional architectures in 5G." In 2016 ICC - 2016 IEEE International Conference on Communications Workshops (ICC). IEEE, 2016. http://dx.doi.org/10.1109/iccw.2016.7503786.

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Reports on the topic "Functional connectivity"

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Schalk, Gerwin. Methods for Functional Connectivity Analyses. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada581750.

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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 19. Hilbert Press, 2019. http://dx.doi.org/10.56441/hilbertpress.1927.9364.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Pineda, Jaime A., and Ralph-Axel Mueller. Improving Synchronization and Functional Connectivity in Autism Spectrum Disorders through Plasticity-Induced Rehabilitation Training. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada555805.

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de Bartolomeis, Andrea, Giuseppe De Simone, Mariateresa Ciccarelli, Alessia Castiello, Benedetta Mazza, Licia Vellucci, and Annarita Barone. Antipsychotics-induced changes in synaptic architecture and functional connectivity. Translational implications for treatment response and resistance. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0107.

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WU, Jingyi, Jiaqi LI, Ananda Sidarta, and Patrick Wai Hang Kwong. Neural mechanisms of bimanual coordination in humans and application of neuromodulation therapy: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2023. http://dx.doi.org/10.37766/inplasy2023.5.0080.

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Background: Bimanual coordination deficits are one of the most common characteristics of people with stroke, which have an adverse influence on their independence of activities daily living and other occupational activities. Existing studies and reviews mainly focused on how to improve motor impairment of the affected limb and cortical activation and functional connectivity in the impaired brain hemisphere by a series of rehabilitation strategies, e.g., non-invasive brain stimulation and rehabilitation robotics. It should be noted that functional bilateral abilities are not a simple compound and a combination of one-handed skills. Therefore, the bimanual coordination dysfunctions still need to be explored and addressed in clinical practice. Better understandings of the neural mechanisms underlying bilateral cooperative tasks in healthy subjects and changes in neural activities in stroke patients help foster the development of effective rehabilitation strategies, such as TMS and tDCS, and enhance the bimanual coordination through stimulating altered cortical areas, which is essential for boosting the independence and quality of daily life in stroke individuals.
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Francesco, Petruccione,, Gastrow, Michael, Hadzic, Senka, Limpitlaw, Justine, Paul, Babu Sena, Wolhuter, Riaan, and Kies, Carl. Evaluation of Alternative Telecommunication Technologies for the Karoo Central Astronomy Advantage Area. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2021/0073.

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The National Research Foundation (NRF) requested the Academy of Science of South Africa (ASSAf), on behalf of South African Radio Astronomy Observatory (SARAO) and the Square Kilometre Array (SKA), to undertake an independent and objective evaluation of potential alternative telecommunication technologies for the areas of the Karoo Central Astronomy Advantage Areas (KCAAA). The study encompasses regulatory, public sphere, and technical dimensions to explore options for maintaining the functionality of the telescope while, at the same time, delivering appropriate connectivity solutions for local communities.The objectives of this study are as follows: 1) Assess the technologies currently being, or planning to be, deployed through existing alternative communications programs managed by SARAO, including whether these technologies are comparable with market available technologies that could feasibly be deployed in the KCAAA; and 2) Assessment of current and future telecommunication technologies that may act as suitable replacement and/or improvement (functional and feasible) for existing detrimental technologies, utilised in the KCAAA. This report provides a critical background into the relationship between the SKA and local communities as it relates to ICTs in the area. Based on this understanding, potential technology solutions are proposed to ensure residents of the KCAAA are still afforded valuable access to information and communication technologies (ICTs) within the parameters of affordability, desirability and feasibility.
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Hrozencik, R. Aaron, Grant Gardner, Nicholas Potter, and Steven Wallander. Irrigation organizations. Washington, D.C.: USDA, Economic Research Service, April 2023. http://dx.doi.org/10.32747/2023.7975545.ers.

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Groundwater resources are vital for U.S. and global irrigated agricultural production. In the United States, groundwater supplies water to approximately 65 percent of all irrigated acreage. The connectivity among irrigators pumping from the same aquifer—paired with growing concerns about groundwater depletion—led to the creation of many of the groundwater organizations currently active in the United States. Groundwater organizations perform a variety of functions to promote groundwater resource stewardship and address groundwater overdraft and quality concerns that impact groundwater irrigators and other nonagricultural users (i.e., residential and municipal groundwater users). The operations of groundwater organizations are shaped by State-level groundwater law, organization governance, and the other irrigation-related activities performed by the organization (such as delivering water directly to farms and ranches). This report leverages data from the USDA’s 2019 Survey of Irrigation Organizations to characterize the unique institutions that steward much of the Nation’s groundwater resources.
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Harris, Aubrey, and Darixa Hernandez-Abrams. Monitoring geomorphology to inform ecological outcomes downstream of reservoirs affected by sediment release. Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48470.

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Increasingly, reservoir managers are seeking techniques that improve sediment management while considering long-term sedimentation and reduced operational flexibility. These techniques, often termed sustainable sediment management, involve passing sediment through reservoirs and into downstream rivers. Conceptually, restoring sediment continuity can benefit ecosystem function by increasing floodplain connectivity, contributing to the heterogeneity of channel geomorphology, and supporting the continuity of nutrient cycling. However, when a change is made to operations, geomorphic changes may need to be monitored to document benefits and mitigate any unexpected effects of the change. This investigation develops a geomorphic monitoring plan for downstream reaches affected by sediment-release operations at reservoirs. The monitoring objectives are aligned with potential geomorphic change caused by changes to sediment supply and the associated effects on river function. A tiered approach is presented to explain the quality of information that can be assessed from increasing levels of data collection. A general conceptual model is described in which geomorphic data may be linked to physical habitat conditions and, therefore, ecological processes. The geomorphic monitoring plan for the Tuttle Creek Reservoir water injection dredging (WID) pilot project is presented as a case study. This technical note establishes a general framework for monitoring the design for sustainable sediment management in different ecological and geomorphic contexts.
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