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Resting state networks

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https://www.readbyqxmd.com/read/29028135/predicting-episodic-and-spatial-memory-performance-from-hippocampal-resting-state-functional-connectivity-evidence-for-an-anterior-posterior-division-of-function
#1
Jonas Persson, Eva Stening, Kristin Nordin, Hedvig Söderlund
fMRI studies have identified distinct resting-state functional connectivity (RSFC) networks associated with the anterior and posterior hippocampus. However, the functional relevance of these two networks is still largely unknown. Hippocampal lesion studies and task-related fMRI point to a role for the anterior hippocampus in non-spatial episodic memory and the posterior hippocampus in spatial memory. We used Relevance Vector Regression (RVR), a machine-learning method that enables predictions of continuous outcome measures from multivariate patterns of brain imaging data, to test the hypothesis that patterns of whole-brain RSFC associated with the anterior hippocampus predict episodic memory performance, while patterns of whole-brain RSFC associated with the posterior hippocampus predict spatial memory performance...
October 13, 2017: Hippocampus
https://www.readbyqxmd.com/read/29026183/developmental-emergence-of-sparse-coding-a-dynamic-systems-approach
#2
Vahid Rahmati, Knut Kirmse, Knut Holthoff, Lars Schwabe, Stefan J Kiebel
During neocortical development, network activity undergoes a dramatic transition from largely synchronized, so-called cluster activity, to a relatively sparse pattern around the time of eye-opening in rodents. Biophysical mechanisms underlying this sparsification phenomenon remain poorly understood. Here, we present a dynamic systems modeling study of a developing neural network that provides the first mechanistic insights into sparsification. We find that the rest state of immature networks is strongly affected by the dynamics of a transient, unstable state hidden in their firing activities, allowing these networks to either be silent or generate large cluster activity...
October 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29026095/alterations-of-regional-homogeneity-and-functional-connectivity-in-pituitary-adenoma-patients-with-visual-impairment
#3
Guidong Song, Jicheng Qiu, Chuzhong Li, Jiye Li, Songbai Gui, Haibo Zhu, Yazhuo Zhang
Evidences have showed that the deprivation of vision can considerably alter the resting-state activity both within and beyond the visual cortices. However, the functional changes of the brain cortices related to partially vision-deprivation are still largely unknown. Using resting-state functional MR imaging, we quantitatively evaluated the regional homogeneity(ReHo) and functional connectivity(FC) changes between 25 pituitary adenoma patients with visual impairment and 25 healthy controls(HCs). Compared with HCs, PAs exhibited significant increased ReHo in the left superior occipital gyrus, bilateral middle occipital gyrus and reduced ReHo in the left inferior frontal gyrus and right middle temporal gyrus...
October 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29024197/multifaceted-brain-networks-reconfiguration-in-disorders-of-consciousness-uncovered-by-co-activation-patterns
#4
Carol Di Perri, Enrico Amico, Lizette Heine, Jitka Annen, Charlotte Martial, Stephen K Larroque, Andrea Soddu, Daniele Marinazzo, Steven Laureys
INTRODUCTION: Given that recent research has shown that functional connectivity is not a static phenomenon, we aim to investigate the dynamic properties of the default mode network's (DMN) connectivity in patients with disorders of consciousness. METHODS: Resting-state fMRI volumes of a convenience sample of 17 patients in unresponsive wakefulness syndrome (UWS) and controls were reduced to a spatiotemporal point process by selecting critical time points in the posterior cingulate cortex (PCC)...
October 11, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29023586/reduced-resting-state-connectivity-and-gray-matter-volume-correlate-with-cognitive-impairment-in-minimal-hepatic-encephalopathy
#5
Raquel García-García, Álvaro Javier Cruz-Gómez, Alba Mangas-Losada, Amparo Urios, Cristina Forn, Desamparados Escudero-García, Elena Kosenko, Juan Fermín Ordoño, Joan Tosca, Remedios Giner-Durán, Miguel Angel Serra, César Avila, Vicente Belloch, Vicente Felipo, Carmina Montoliu
BACKGROUND AND AIMS: Minimal hepatic encephalopathy (MHE) is associated with cognitive alterations and changes in connectivity. We assessed the relationship of the abnormalities of resting-state functional connectivity (rs-FC) and gray matter (GM) volume with different cognitive alterations and biochemical parameters associated to MHE. METHODS: Thirty-nine cirrhotic patients (26 without and 13 with MHE) and 24 controls were widely cognitive assessed with a battery of psychometric tests...
2017: PloS One
https://www.readbyqxmd.com/read/29019036/neural-networks-underlying-trait-aggression-depend-on-maoa-gene-alleles
#6
Martin Klasen, Dhana Wolf, Patrick D Eisner, Ute Habel, Jonathan Repple, Ingo Vernaleken, Thorben Schlüter, Thomas Eggermann, Klaus Zerres, Florian D Zepf, Klaus Mathiak
Low expressing alleles of the MAOA gene (MAOA-L) have been associated with an increased risk for developing an aggressive personality. This suggests an MAOA-L-specific neurobiological vulnerability associated with trait aggression. The neural networks underlying this vulnerability are unknown. The present study investigated genotype-specific associations between resting state brain networks and trait aggression (Buss-Perry Aggression Questionnaire) in 82 healthy Caucasian males. Genotype influences on aggression-related networks were studied for intrinsic and seed-based brain connectivity...
October 10, 2017: Brain Structure & Function
https://www.readbyqxmd.com/read/29018338/altered-distant-synchronization-of-background-network-in-mild-cognitive-impairment-during-an-executive-function-task
#7
Pengyun Wang, Rui Li, Jing Yu, Zirui Huang, Zhixiong Yan, Ke Zhao, Juan Li
Few studies to date have investigated the background network in the cognitive state relying on executive function in mild cognitive impairment (MCI) patients. Using the index of degree of centrality (DC), we explored distant synchronization of background network in MCI during a hybrid delayed-match-to-sample task (DMST), which mainly relies on the working memory component of executive function. We observed significant interactions between group and cognitive state in the bilateral posterior cingulate cortex (PCC) and the ventral subregion of precuneus...
2017: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/29017089/reduced-interhemispheric-executive-control-network-coupling-in-men-during-early-cocaine-abstinence-a-pilot-study
#8
Julie M McCarthy, Chun S Zuo, Justin M Shepherd, Nadeeka Dias, Scott E Lukas, Amy C Janes
BACKGROUND: Individuals who use cocaine have fewer cognitive resources needed to maintain abstinence. This is evidenced by blunted brain function during cognitive control tasks and reduced communication between brain regions associated with cognitive function. For instance, relapse vulnerability is heightened in individuals with less communication between the right and left frontoparietal executive control network (ECN). Given that recent cocaine use enhances such communication, it is plausible that recency of cocaine use influences interhemispheric ECN communication...
October 5, 2017: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/29017061/decreased-functional-connectivity-in-schizophrenia-the-relationship-between-social-functioning-social-cognition-and-graph-theoretical-network-measures
#9
Burak Erdeniz, Emin Serin, Yelda İbadi, Cumhur Taş
Schizophrenia is a complex disorder in which abnormalities in brain connectivity and social functioning play a central role. The aim of this study is to explore small-world network properties, and understand their relationship with social functioning and social cognition in the context of schizophrenia, by testing functional connectivity differences in network properties and its relation to clinical behavioral measures. Resting-state fMRI time series data were acquired from 23 patients diagnosed with schizophrenia and 23 healthy volunteers...
September 28, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/29016686/learning-about-learning-mining-human-brain-sub-network-biomarkers-from-fmri-data
#10
Petko Bogdanov, Nazli Dereli, Xuan-Hong Dang, Danielle S Bassett, Nicholas F Wymbs, Scott T Grafton, Ambuj K Singh
Modeling the brain as a functional network can reveal the relationship between distributed neurophysiological processes and functional interactions between brain structures. Existing literature on functional brain networks focuses mainly on a battery of network properties in "resting state" employing, for example, modularity, clustering, or path length among regions. In contrast, we seek to uncover functionally connected subnetworks that predict or correlate with cohort differences and are conserved within the subjects within a cohort...
2017: PloS One
https://www.readbyqxmd.com/read/28993741/executive-control-and-striatal-resting-state-network-interact-with-risk-factors-to-influence-treatment-outcomes-in-alcohol-use-disorder
#11
Milky Kohno, Laura E Dennis, Holly McCready, William F Hoffman
Alterations within mesocorticolimbic terminal regions commonly occur with alcohol use disorder (AUD). As pathological drug-seeking behavior may arise as a consequence of alcohol-induced neuroadaptations, it is critical to understand how such changes increase the likelihood of relapse. This report examined resting-state functional connectivity (RSFC) using both a seed-based and model-free approach in individuals in treatment for AUD and how dysregulation of network connectivity contributes to treatment outcomes...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28992987/the-resting-perfusion-pattern-associates-with-functional-decline-in-type-2-diabetes
#12
Weiying Dai, Wenna Duan, Freddy J Alfaro, Anna Gavrieli, Fotini Kourtelidis, Vera Novak
We investigated the relationships between cerebral blood flow (CBF), cognitive, and mobility decline in type 2 diabetes mellitus (T2DM) over a 2-year period. Seventy-three participants (41 T2DM and 32 controls) were evaluated using volumetric CBF with arterial spin labeling perfusion magnetic resonance imaging at baseline and at the 2-year follow-up. Regions with significant CBF differences between T2DM participants and controls at baseline were detected using voxel-wise analysis. Correlation analysis was performed to investigate the association between regional CBF and cognitive or mobility performance over the 2-year span...
September 14, 2017: Neurobiology of Aging
https://www.readbyqxmd.com/read/28990264/consistency-of-magnetoencephalographic-functional-connectivity-and-network-reconstruction-using-a-template-versus-native-mri-for-co-registration
#13
Linda Douw, Dagmar Nieboer, Cornelis J Stam, Prejaas Tewarie, Arjan Hillebrand
INTRODUCTION: Studies using functional connectivity and network analyses based on magnetoencephalography (MEG) with source localization are rapidly emerging in neuroscientific literature. However, these analyses currently depend on the availability of costly and sometimes burdensome individual MR scans for co-registration. We evaluated the consistency of these measures when using a template MRI, instead of native MRI, for the analysis of functional connectivity and network topology. METHODS: Seventeen healthy participants underwent resting-state eyes-closed MEG and anatomical MRI...
October 8, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28989941/resting-state-networks-do-not-determine-cognitive-function-networks-a-commentary-on-campbell-and-schacter-2016
#14
Simon W Davis, Matthew L Stanley, Morris Moscovitch, Roberto Cabeza
No abstract text is available yet for this article.
2017: Language, Cognition and Neuroscience
https://www.readbyqxmd.com/read/28988830/effects-of-neonatal-deafness-on-resting-state-functional-network-connectivity
#15
Daniel Stolzberg, Blake E Butler, Stephen G Lomber
Normal brain development depends on early sensory experience. Behavioral consequences of brain maturation in the absence of sensory input early in life are well documented. For example, experiments with mature, neonatally deaf human or animal subjects have revealed improved peripheral visual motion detection and spatial localization abilities. Such supranormal behavioral abilities in the nondeprived sensory modality are evidence of compensatory plasticity occurring in deprived brain regions at some point or throughout development...
October 5, 2017: NeuroImage
https://www.readbyqxmd.com/read/28986564/dynamics-of-functional-connectivity-at-high-spatial-resolution-reveal-long-range-interactions-and-fine-scale-organization
#16
Maria Giulia Preti, Dimitri Van De Ville
Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging sheds light onto moment-to-moment reconfigurations of large-scale functional brain networks. Due to computational limits, connectivity is typically computed using pre-defined atlases, a non-trivial choice that might influence results. Here, we leverage new computational methods to retrieve dFC at the voxel level in terms of dominant patterns of fluctuations, and demonstrate that this new representation is informative to derive meaningful brain parcellations, capturing both long-range interactions and fine-scale local organization...
October 6, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28986105/dynamic-functional-connectivity-analysis-reveals-improved-association-between-brain-networks-and-eating-behaviors-compared-to-static-analysis
#17
Bo-Yong Park, Taesup Moon, Hyunjin Park
Uncontrollable eating behavior is highly associated with dysfunction in neurocognitive systems. We aimed to quantitatively link brain networks and eating behaviors based on dynamic functional connectivity analysis, which reflects temporal dynamics of brain networks. We used 62 resting-state functional magnetic resonance imaging data sets representing 31 healthy weight (HW) and 31 non-HW participants based on body mass index (BMI). Brain networks were defined using a data-driven group-independent component analysis and a dynamic connectivity analysis with a sliding window technique was applied...
October 3, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/28985938/applications-of-resting-state-functional-mr-imaging-to-epilepsy
#18
REVIEW
Alexander Barnett, Samantha Audrain, Mary Pat McAndrews
We discuss the value of resting-state functional MR imaging (rsfMR imaging) as an emerging technique to address questions about memory and language that are central in surgery for temporal-lobe epilepsy, namely the identification and characterization of eloquent cortex to avoid surgical morbidity. The emergence of a robust set of data using rsfMR imaging has opened new avenues for exploring more direct relationships between neural networks and current cognitive function and prediction of postoperative change...
November 2017: Neuroimaging Clinics of North America
https://www.readbyqxmd.com/read/28985937/applications-of-resting-state-functional-mr-imaging-to-traumatic-brain-injury
#19
REVIEW
Thomas J O'Neill, Elizabeth M Davenport, Gowtham Murugesan, Albert Montillo, Joseph A Maldjian
Traumatic brain injury (TBI) is an important public health issue. TBI includes a broad spectrum of injury severities and abnormalities. Functional MR imaging (fMR imaging), both resting state (rs) and task, has been used often in research to study the effects of TBI. Although rs-fMR imaging is not currently applicable in clinical diagnosis of TBI, computer-aided tools are making this a possibility for the future. Specifically, graph theory is being used to study the change in networks after TBI. Machine learning methods allow researchers to build models capable of predicting injury severity and recovery trajectories...
November 2017: Neuroimaging Clinics of North America
https://www.readbyqxmd.com/read/28985936/applications-of-resting-state-functional-connectivity-to-neurodegenerative-disease
#20
REVIEW
Juan Zhou, Siwei Liu, Kwun Kei Ng, Juan Wang
Neurodegenerative diseases target specific large-scale neuronal networks, leading to distinct behavioral and cognitive dysfunctions. Resting-state functional magnetic resonance imaging (rsfMR imaging)-based functional connectivity method maps symptoms-associated functional network deterioration in vivo. This article summarizes accumulating functional connectivity findings supporting the network-based neurodegeneration hypothesis. Understanding of disease mechanism can further guide early detection and predictions of disease progression and inform development of more effective treatment...
November 2017: Neuroimaging Clinics of North America
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