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https://www.readbyqxmd.com/read/29158202/dynamic-effective-connectivity-in-resting-state-fmri
#1
REVIEW
Hae-Jeong Park, Karl Friston, Chongwon Pae, Bumhee Park, Adeel Razi
Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy. This dynamic aspect of brain connectivity has recently attracted a lot of attention in the resting state fMRI community. To explain dynamic functional connectivity in terms of directed effective connectivity among brain regions, we introduce a novel method to identify dynamic effective connectivity using spectral dynamic causal modelling (spDCM)...
November 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/29155843/the-relation-between-statistical-power-and-inference-in-fmri
#2
Henk R Cremers, Tor D Wager, Tal Yarkoni
Statistically underpowered studies can result in experimental failure even when all other experimental considerations have been addressed impeccably. In fMRI the combination of a large number of dependent variables, a relatively small number of observations (subjects), and a need to correct for multiple comparisons can decrease statistical power dramatically. This problem has been clearly addressed yet remains controversial-especially in regards to the expected effect sizes in fMRI, and especially for between-subjects effects such as group comparisons and brain-behavior correlations...
2017: PloS One
https://www.readbyqxmd.com/read/29155814/optimal-synaptic-signaling-connectome-for-locomotory-behavior-in-caenorhabditis-elegans-design-minimizing-energy-cost
#3
Franciszek Rakowski, Jan Karbowski
The detailed knowledge of C. elegans connectome for 3 decades has not contributed dramatically to our understanding of worm's behavior. One of main reasons for this situation has been the lack of data on the type of synaptic signaling between particular neurons in the worm's connectome. The aim of this study was to determine synaptic polarities for each connection in a small pre-motor circuit controlling locomotion. Even in this compact network of just 7 neurons the space of all possible patterns of connection types (excitation vs...
November 20, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29143409/chronnectome-fingerprinting-identifying-individuals-and-predicting-higher-cognitive-functions-using-dynamic-brain-connectivity-patterns
#4
Jin Liu, Xuhong Liao, Mingrui Xia, Yong He
The human brain is a large, interacting dynamic network, and its architecture of coupling among brain regions varies across time (termed the "chronnectome"). However, very little is known about whether and how the dynamic properties of the chronnectome can characterize individual uniqueness, such as identifying individuals as a "fingerprint" of the brain. Here, we employed multiband resting-state functional magnetic resonance imaging data from the Human Connectome Project (N = 105) and a sliding time-window dynamic network analysis approach to systematically examine individual time-varying properties of the chronnectome...
November 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29143250/cliques-and-cavities-in-the-human-connectome
#5
Ann E Sizemore, Chad Giusti, Ari Kahn, Jean M Vettel, Richard F Betzel, Danielle S Bassett
Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and perform complex behaviors. Because cognitive processes involve large, distributed networks of brain areas, principled examinations of multi-node routes within larger connection patterns can offer fundamental insights into the complexities of brain function. Here, we investigate both densely connected groups of nodes that could perform local computations as well as larger patterns of interactions that would allow for parallel processing...
November 16, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/29139161/cognitive-abilities-brain-white-matter-hyperintensity-volume-and-structural-network-connectivity-in-older-age
#6
Stewart J Wiseman, Tom Booth, Stuart J Ritchie, Simon R Cox, Susana Muñoz Maniega, Maria Del C Valdés Hernández, David Alexander Dickie, Natalie A Royle, John M Starr, Ian J Deary, Joanna M Wardlaw, Mark E Bastin
OBJECTIVE: To assess brain structural connectivity in relation to cognitive abilities in healthy ageing, and the mediating effects of white matter hyper-intensity (WMH) volume. METHODS: MRI data were analysed in 558 members of the Lothian Birth Cohort 1936. Brains were segmented into 85 regions and combined with tractography to generate structural connectomes. WMH volume was quantified. Relationships between whole-brain connectivity, assessed using graph theory metrics, and four major domains of cognitive ability (visuospatial reasoning, verbal memory, information processing speed and crystallized ability) were investigated, as was the mediating effects of WMH volume on these relationships...
November 14, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29136125/effective-connectivity-measured-using-optogenetically-evoked-hemodynamic-signals-exhibits-topography-distinct-from-resting-state-functional-connectivity-in-the-mouse
#7
Adam Q Bauer, Andrew W Kraft, Grant A Baxter, Patrick W Wright, Matthew D Reisman, Annie R Bice, Jasmine J Park, Michael R Bruchas, Abraham Z Snyder, Jin-Moo Lee, Joseph P Culver
Brain connectomics has expanded from histological assessment of axonal projection connectivity (APC) to encompass resting state functional connectivity (RS-FC). RS-FC analyses are efficient for whole-brain mapping, but attempts to explain aspects of RS-FC (e.g., interhemispheric RS-FC) based on APC have been only partially successful. Neuroimaging with hemoglobin alone lacks specificity for determining how activity in a population of cells contributes to RS-FC. Wide-field mapping of optogenetically defined connectivity could provide insights into the brain's structure-function relationship...
November 9, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/29136110/meta-connectomic-analysis-reveals-commonly-disrupted-functional-architectures-in-network-modules-and-connectors-across-brain-disorders
#8
Zhiqiang Sha, Mingrui Xia, Qixiang Lin, Miao Cao, Yanqing Tang, Ke Xu, Haiqing Song, Zhiqun Wang, Fei Wang, Peter T Fox, Alan C Evans, Yong He
Neuropsychiatric disorders are increasingly conceptualized as disconnection syndromes that are associated with abnormal network integrity in the brain. However, whether different neuropsychiatric disorders show commonly dysfunctional connectivity architectures in large-scale brain networks remains largely unknown. Here, we performed a meta-connectomic study to identify disorder-related functional modules and brain regions by combining meta-analyses of 182 published resting-state functional MRI studies in 11 neuropsychiatric disorders and graph-theoretical analyses of 3 independent resting-state functional MRI datasets with healthy and diseased populations (Alzheimer's disease and major depressive disorder [MDD])...
November 9, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/29135998/multivariate-regression-analysis-of-structural-mri-connectivity-matrices-in-alzheimer-s-disease
#9
Javier Rasero, Nicola Amoroso, Marianna La Rocca, Sabina Tangaro, Roberto Bellotti, Sebastiano Stramaglia
Alzheimer's disease (AD) is the most common form of dementia among older people and increasing longevity ensures its prevalence will rise even further. Whether AD originates by disconnecting a localized brain area and propagates to the rest of the brain across disease-severity progression is a question with an unknown answer. An important related challenge is to predict whether a given subject, with a mild cognitive impairment (MCI), will convert or not to AD. Here, our aim is to characterize the structural connectivity pattern of MCI and AD subjects using the multivariate distance matrix regression (MDMR) analysis, and to compare it to those of healthy subjects...
2017: PloS One
https://www.readbyqxmd.com/read/29135806/fluid-intelligence-relates-to-the-resting-state-amplitude-of-low-frequency-fluctuation-and-functional-connectivity-a-multivariate-pattern-analysis
#10
Changjun Li, Guocheng Yang, Meiling Li, Bo Li
The goal of this study was to investigate the relationship between fluid intelligence (gF) and the pattern of the functional characteristics in the resting state in adults using multivariate pattern analysis. Resting-state functional images from 100 participants in the Human Connectome Project data set were analyzed. The amplitude of low-frequency fluctuation (ALFF) was first calculated, and a support vector regression approach was used to identify the association with gF. To discover whether the connectivity of the gF-associated areas was also related to gF, we further checked the seed-based functional connectivity using the seeds from the ALFF...
November 13, 2017: Neuroreport
https://www.readbyqxmd.com/read/29134611/exploring-white-matter-microstructure-and-olfaction-dysfunction-in-early-parkinson-disease-diffusion-mri-reveals-new-insight
#11
Soheila Sobhani, Farzaneh Rahmani, Mohammad Hadi Aarabi, Alireza Vafaei Sadr
Olfaction dysfunction is considered as a robust marker of prodromal Parkinson disease (PD). Measurement of olfaction function as a screening test is unsatisfactory due to long lead time interval and low specificity for detection of PD. Use of imaging markers might yield more accurate predictive values and provide bases for combined use of imaging and clinical markers for early PD. Diffusion MRI connectometry was conducted on 85 de novo PD patients in and 36 healthy controls to find: first, white matter tracts with significant difference in quantitative anisotropy between PD groups with various degrees of olfaction dysfunction and second, second fibers with correlation with University of Pennsylvania Smell Identification Test (UPSIT) score in each group using a multiple regression analysis considering age, sex, GDS and MoCA score...
November 13, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29125978/decoding-hidden-messages-in-neurons-insights-from-epitranscriptome-controlled-and-specialized-ribosome-controlled-translation
#12
REVIEW
Yi-Shuian Huang, Wen-Hsin Lu
Activity-regulated protein synthesis, especially in the restricted synaptic domains, is critical to maintaining connections and communication between neurons. Accumulating evidence has linked dysregulated translation to various neurodevelopmental or neurodegenerative diseases. In the past 3 decades, after finding ribosomes and specific mRNAs localized around synapses, a significant amount of work has furthered our understanding of how the genetic sequences in mRNAs and their cognate RNA-binding proteins are coordinated to build up synaptic proteomes...
November 7, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29124896/beyond-the-response-high-throughput-behavioral-analyses-to-link-genome-to-phenome-in-caenorhabditis-elegans
#13
REVIEW
Troy A McDiarmid, Alex J Yu, Catharine H Rankin
The development and application of methods for automated behavioral analysis have revolutionized behavioral genetics across model organisms. In this review we summarize the history of automated behavioral analysis in the nematode Caenorhabditis elegans. We highlight recent studies of learning and memory to exemplify just how complex the genetic and neural circuit mechanisms underlying a seemingly simple single behavioral response can be. We finish by looking forward at the exciting prospects of combing genomic technologies with connectomic and phenomic level measurements...
November 9, 2017: Genes, Brain, and Behavior
https://www.readbyqxmd.com/read/29124768/the-peripheral-nervous-system-of-the-ascidian-tadpole-larva-types-of-neurons-and-their-synaptic-networks
#14
Kerrianne Ryan, Zhiuyan Lu, Ian A Meinertzhagen
Physical and chemical cues from the environment are used to direct animal behaviour through a complex network of connections originating in exteroceptors. In chordates, mechanosensory and chemosensory neurons of the peripheral nervous system (PNS) must signal to the motor circuits of the central nervous system (CNS) through a series of pathways that integrate and regulate the output to motor neurons; ultimately these drive contraction of the tail and limb muscles. We used serial-section electron microscopy to reconstruct PNS neurons and their hitherto unknown synaptic networks in the tadpole larva of a sibling chordate, the ascidian, Ciona intestinalis...
November 10, 2017: Journal of Comparative Neurology
https://www.readbyqxmd.com/read/29122723/the-neuronal-network-involved-in-self-attribution-of-an-artificial-hand-a-lesion-network-symptom-mapping-study
#15
Max Wawrzyniak, Julian Klingbeil, Daniel Zeller, Dorothee Saur, Joseph Classen
The feeling of body-ownership can be experimentally manipulated using the rubber hand illusion (RHI) paradigm. Participants experience a sense of ownership over an artificial hand when their hidden real hand and the visible artificial hand are synchronously stroked. Using lesion masks and behavioral data from a previous study on RHI failure in acute stroke patients, we here employed lesion network-symptom-mapping (LNSM) based on normative functional connectome data to identify lesion-dependent network connectivity related to the experience of self-attribution of an artificial hand in the RHI paradigm...
November 6, 2017: NeuroImage
https://www.readbyqxmd.com/read/29122720/connectome-based-predictive-modeling-of-attention-comparing-different-functional-connectivity-features-and-prediction-methods-across-datasets
#16
Kwangsun Yoo, Monica D Rosenberg, Wei-Ting Hsu, Sheng Zhang, Chiang-Shan R Li, Dustin Scheinost, R Todd Constable, Marvin M Chun
Connectome-based predictive modeling (CPM; Finn et al., 2015; Shen et al., 2017) was recently developed to predict individual differences in traits and behaviors, including fluid intelligence (Finn et al., 2015) and sustained attention (Rosenberg et al., 2016a), from functional brain connectivity (FC) measured with fMRI. Here, using the CPM framework, we compared the predictive power of three different measures of FC (Pearson's correlation, accordance, and discordance) and two different prediction algorithms (linear and partial least square [PLS] regression) for attention function...
November 6, 2017: NeuroImage
https://www.readbyqxmd.com/read/29121259/exercise-ameliorates-neurocognitive-impairments-in-a-translational-model-of-pediatric-radiotherapy
#17
Iman Sahnoune, Taeko Inoue, Shelli R Kesler, Shaefali P Rodgers, Omaima M Sabek, Steen E Pedersen, Janice A Zawaski, Katharine H Nelson, M Douglas Ris, J Leigh Leasure, M Waleed Gaber
Background: While CRT is an effective treatment, healthy areas surrounding irradiation sites are negatively affected. Frontal lobe functions involving attention, processing speed and inhibition control are impaired. These deficits appear months to years after CRT and impair quality-of-life. Exercise has been shown to rejuvenate the brain and aid in recovery post-injury through its effects on neurogenesis and cognition. Methods: We developed a juvenile rodent CRT model that reproduces neurocognitive deficits...
November 7, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/29117288/dynamic-network-communication-in-the-human-functional-connectome-predicts-perceptual-variability-in-visual-illusion
#18
Zhiwei Wang, Kristina Zeljic, Qinying Jiang, Yong Gu, Wei Wang, Zheng Wang
Ubiquitous variability between individuals in visual perception is difficult to standardize and has thus essentially been ignored. Here we construct a quantitative psychophysical measure of illusory rotary motion based on the Pinna-Brelstaff figure (PBF) in 73 healthy volunteers and investigate the neural circuit mechanisms underlying perceptual variation using functional magnetic resonance imaging (fMRI). We acquired fMRI data from a subset of 42 subjects during spontaneous and 3 stimulus conditions: expanding PBF, expanding modified-PBF (illusion-free) and expanding modified-PBF with physical rotation...
November 22, 2016: Cerebral Cortex
https://www.readbyqxmd.com/read/29116093/the-challenge-of-mapping-the-human-connectome-based-on-diffusion-tractography
#19
Klaus H Maier-Hein, Peter F Neher, Jean-Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, Jidan Zhong, Maxime Chamberland, Fang-Cheng Yeh, Ying-Chia Lin, Qing Ji, Wilburn E Reddick, John O Glass, David Qixiang Chen, Yuanjing Feng, Chengfeng Gao, Ye Wu, Jieyan Ma, H Renjie, Qiang Li, Carl-Fredrik Westin, Samuel Deslauriers-Gauthier, J Omar Ocegueda González, Michael Paquette, Samuel St-Jean, Gabriel Girard, François Rheault, Jasmeen Sidhu, Chantal M W Tax, Fenghua Guo, Hamed Y Mesri, Szabolcs Dávid, Martijn Froeling, Anneriet M Heemskerk, Alexander Leemans, Arnaud Boré, Basile Pinsard, Christophe Bedetti, Matthieu Desrosiers, Simona Brambati, Julien Doyon, Alessia Sarica, Roberta Vasta, Antonio Cerasa, Aldo Quattrone, Jason Yeatman, Ali R Khan, Wes Hodges, Simon Alexander, David Romascano, Muhamed Barakovic, Anna Auría, Oscar Esteban, Alia Lemkaddem, Jean-Philippe Thiran, H Ertan Cetingul, Benjamin L Odry, Boris Mailhe, Mariappan S Nadar, Fabrizio Pizzagalli, Gautam Prasad, Julio E Villalon-Reina, Justin Galvis, Paul M Thompson, Francisco De Santiago Requejo, Pedro Luque Laguna, Luis Miguel Lacerda, Rachel Barrett, Flavio Dell'Acqua, Marco Catani, Laurent Petit, Emmanuel Caruyer, Alessandro Daducci, Tim B Dyrby, Tim Holland-Letz, Claus C Hilgetag, Bram Stieltjes, Maxime Descoteaux
Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent)...
November 7, 2017: Nature Communications
https://www.readbyqxmd.com/read/29112868/drosophila-connectomics-mapping-the-larval-eye-s%C3%A2-mind
#20
Carl Friedrich-Reed Wienecke, Thomas R Clandinin
A new study has mapped the connectome - the shapes and connections of all the neurons- of the visual system of a Drosophila larva, providing a structural basis for understanding the neural circuitry of larval vision.
November 6, 2017: Current Biology: CB
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