journal
MENU ▼
Read by QxMD icon Read
search

NeuroImage

journal
https://www.readbyqxmd.com/read/28739120/detecting-stable-individual-differences-in-the-functional-organization-of-the-human-basal-ganglia
#1
REVIEW
Manuel Garcia-Garcia, Aki Nikolaidis, Pierre Bellec, R Cameron Craddock, Brian Cheung, Francisco X Castellanos, Michael P Milham
Moving from group level to individual level functional parcellation maps is a critical step for developing a rich understanding of the links between individual variation in functional network architecture and cognitive and clinical phenotypes. Still, the identification of functional units in the brain based on intrinsic functional connectivity and its dynamic variations between and within subjects remains challenging. Recently, the bootstrap analysis of stable clusters (BASC) framework was developed to quantify the stability of functional brain networks both across and within subjects...
July 21, 2017: NeuroImage
https://www.readbyqxmd.com/read/28739119/structural-and-functional-empirical-and-modeled-connectivity-in-the-cerebral-cortex-of-the-rat
#2
Antonio Díaz-Parra, Zachary Osborn, Santiago Canals, David Moratal, Olaf Sporns
Connectomics data from animal models provide an invaluable opportunity to reveal the complex interplay between structure and function in the mammalian brain. In this work, we investigate the relationship between structural and functional connectivity in the rat brain cortex using a directed anatomical network generated from a carefully curated meta-analysis of published tracing data, along with resting-state functional MRI data obtained from a group of 14 anesthetized Wistar rats. We found a high correspondence between the strength of functional connections, measured as blood oxygen level dependent (BOLD) signal correlations between cortical regions, and the weight of the corresponding anatomical links in the connectome graph (maximum Spearman rank-order correlation ρ=0...
July 21, 2017: NeuroImage
https://www.readbyqxmd.com/read/28736312/resting-state-functional-connectivity-correlates-of-emotional-awareness
#3
Ryan Smith, Anna Alkozei, Jennifer Bao, Courtney Smith, Richard D Lane, William D S Killgore
Multiple neuroimaging studies have now linked emotional awareness (EA), as measured by the Levels of Emotional Awareness Scale (LEAS), with activation in regions of neural networks associated with both conceptualization (i.e., default mode network [DMN] regions) and interoception (i.e., salience network [SN] regions) - consistent with the definition of EA as one's ability to appropriately recognize, conceptualize, and articulate the emotions of self and other in fine-grained, differentiated ways. However, no study has yet tested the hypothesis that greater LEAS scores are associated with greater resting state functional connectivity (FC) within these networks...
July 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28736311/imaging-wide-association-study-integrating-imaging-endophenotypes-in-gwas
#4
Zhiyuan Xu, Chong Wu, Wei Pan
A new and powerful approach, called imaging-wide association study (IWAS), is proposed to integrate imaging endophenotypes with GWAS to boost statistical power and enhance biological interpretation for GWAS discoveries. IWAS extends the promising transcriptome-wide association study (TWAS) from using gene expression endophenotypes to using imaging and other endophenotypes with a much wider range of possible applications. As illustration, we use gray-matter volumes of several brain regions of interest (ROIs) drawn from the ADNI-1 structural MRI data as imaging endophenotypes, which are then applied to the individual-level GWAS data of ADNI-GO/2 and a large meta-analyzed GWAS summary statistics dataset (based on about 74,000 individuals), uncovering some novel genes significantly associated with Alzheimer's disease (AD)...
July 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28736310/non-bold-contrast-for-laminar-fmri-in-humans-cbf-cbv-and-cmr02
#5
REVIEW
Laurentius Huber, Kâmil Uludağ, Harald E Möller
Functional magnetic resonance imaging (fMRI) using the blood oxygenation level-dependent (BOLD) contrast indirectly probes neuronal activity changes via evoked cerebral blood flow (CBF), cerebral blood volume (CBV) and cerebral metabolic rate of oxygen (CMR02) changes. The gradient-echo BOLD signal is mostly sensitive to ascending veins in the tissue and to pial veins. Thereby, the achievable spatial specificity to neuronal activation is limited. Furthermore, the non-linear interaction of CBF, CBV and CMR02 can hamper quantitative interpretations of the BOLD signal across cortical depths with different baseline physiology...
July 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28736309/neural-interactions-mediating-conflict-control-and-its-training-induced-plasticity
#6
Min Hu, Xiangpeng Wang, Wenwen Zhang, Xueping Hu, Antao Chen
Cognitive control is of great plasticity. Training programs targeted on improving it have been suggested to yield neural changes in the brain. However, until recently, the relationship between training-induced brain changes and improvements in cognitive control is still an open issue. Besides, although the literature has attributed the operation of cognitive control to interactions between large-scale networks, the neural pathways directly associated with it remain unclear. The current study aimed to examine these issues by focusing on conflict processing...
July 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28736308/laminar-fmri-what-can-the-time-domain-tell-us
#7
REVIEW
Natalia Petridou, Jeroen C W Siero
The rapid developments in functional MRI (fMRI) acquisition methods and hardware technologies in recent years, particularly at high field (≥7 T), have enabled unparalleled visualization of functional detail at a laminar or columnar level, bringing fMRI close to the intrinsic resolution of brain function. These advances highlight the potential of high resolution fMRI to be a valuable tool to study the fundamental processing performed in cortical micro-circuits, and their interactions such as feedforward and feedback processes...
July 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28736307/local-striatal-reward-signals-can-be-predicted-from-corticostriatal-connectivity
#8
Peter Smittenaar, Zeb Kurth-Nelson, Siawoosh Mohammadi, Nikolaus Weiskopf, Raymond J Dolan
A defining feature of the basal ganglia is their anatomical organization into multiple cortico-striatal loops. A central tenet of this architecture is the idea that local striatal function is determined by its precise connectivity with cortex, creating a functional topography that is mirrored within cortex and striatum. Here we formally test this idea using both human anatomical and functional imaging, specifically asking whether within striatal subregions one can predict between-voxel differences in functional signals based on between-voxel differences in corticostriatal connectivity...
July 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28735013/simultaneous-intrinsic-signal-imaging-of-auditory-and-visual-cortex-reveals-profound-effects-of-acute-hearing-loss-on-visual-processing
#9
Manuel Teichert, Jürgen Bolz
It has been suggested that primary sensory cortices do not work in isolation but receive subthreshold inputs originating from other senses. However, repercussions of an acute loss of one sense on multimodal sensory processing remain elusive. Here we investigated the early effects of acute hearing loss on visual processing in adult mice. For this, we developed a method to simultaneously map the primary auditory (A1) and visual cortex (V1) using periodic intrinsic optical imaging. We found that reducing sound evoked A1 responsiveness due to the induction of conductive hearing loss (CHL) led to a concomitant increase of visually driven V1 activity...
July 19, 2017: NeuroImage
https://www.readbyqxmd.com/read/28735012/fgwas-functional-genome-wide-association-analysis
#10
Chao Huang, Paul Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R Colen, Rebecca C Knickmeyer, Hongtu Zhu
Functional phenotypes (e.g., subcortical surface representation), which commonly arise in imaging genetic studies, have been used to detect putative genes for complexly inherited neuropsychiatric and neurodegenerative disorders. However, existing statistical methods largely ignore the functional features (e.g., functional smoothness and correlation). The aim of this paper is to develop a functional genome-wide association analysis (FGWAS) framework to efficiently carry out whole-genome analyses of functional phenotypes...
July 19, 2017: NeuroImage
https://www.readbyqxmd.com/read/28735011/assessment-and-elimination-of-the-effects-of-head-movement-on-meg-resting-state-measures-of-oscillatory-brain-activity
#11
Eirini Messaritaki, Loes Koelewijn, Diana C Dima, Gemma M Williams, Gavin Perry, Krish D Singh
Magnetoencephalography (MEG) is increasingly being used to study brain function because of its excellent temporal resolution and its direct association with brain activity at the neuronal level. One possible cause of error in the analysis of MEG data comes from the fact that participants, even MEG-experienced ones, move their head in the MEG system. Head movement can cause source localization errors during the analysis of MEG data, which can result in the appearance of source variability that does not reflect brain activity...
July 19, 2017: NeuroImage
https://www.readbyqxmd.com/read/28732674/3d-mb-muse-a-robust-3d-multi-slab-multi-band-and-multi-shot-reconstruction-approach-for-ultrahigh-resolution-diffusion-mri
#12
Iain P Bruce, Hing-Chiu Chang, Christopher Petty, Nan-Kuei Chen, Allen W Song
Recent advances in achieving ultrahigh spatial resolution (e.g. sub-millimeter) diffusion MRI (dMRI) data have proven highly beneficial in characterizing tissue microstructures in organs such as the brain. However, the routine acquisition of in-vivo dMRI data at such high spatial resolutions has been largely prohibited by factors that include prolonged acquisition times, motion induced artifacts, and low SNR. To overcome these limitations, we present here a framework for acquiring and reconstructing 3D multi-slab, multi-band and interleaved multi-shot EPI data, termed 3D-MB-MUSE...
July 18, 2017: NeuroImage
https://www.readbyqxmd.com/read/28729161/the-neural-basis-of-precise-visual-short-term-memory-for-complex-recognisable-objects
#13
Michele Veldsman, Daniel J Mitchell, Rhodri Cusack
Recent evidence suggests that visual short-term memory (VSTM) capacity estimated using simple objects, such as colours and oriented bars, may not generalise well to more naturalistic stimuli. More visual detail can be stored in VSTM when complex, recognisable objects are maintained compared to simple objects. It is not yet known if it is recognisability that enhances memory precision, nor whether maintenance of recognisable objects is achieved with the same network of brain regions supporting maintenance of simple objects...
July 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28729160/echo-time-dependence-of-the-bold-response-transients-a-window-into-brain-functional-physiology
#14
Martin Havlicek, Dimo Ivanov, Benedikt A Poser, Kamil Uludag
The blood oxygenation level-dependent (BOLD) fMRI response to neuronal activation results from a complex interplay of induced metabolic and vascular changes. Thus, its transients, such as initial overshoot and post-stimulus undershoot, provide a window into the dynamic relationships of the underlying physiological variables. In this study, we propose multi-echo fMRI as a tool to investigate the physiological underpinnings of the BOLD signal, in particular, and brain functional physiology, in general. In the human visual cortex at 3 T, we observed that the BOLD response is nonlinearly dependent on echo-time (TE) and the amount of nonlinearity varies during the entire time-course...
July 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28729159/what-do-we-know-about-laminar-connectivity
#15
REVIEW
Kathleen S Rockland
In this brief review, I attempt an overview of the main components of anatomical laminar-level connectivity. These are: extrinsic outputs, excitatory and inhibitory intrinsic connectivity, and intrinsic inputs. Supporting data are biased from the visual system of nonhuman primates (NHPs), but I have drawn as much as possible from a broader span in order to treat the important issue of area-specific variability. In a second part, I briefly discuss laminar connectivity in the context of network organization (feedforward/feedback cortical connections, and the major types of corticothalamic connections)...
July 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28723578/convolutional-neural-network-based-encoding-and-decoding-of-visual-object-recognition-in-space-and-time
#16
REVIEW
K Seeliger, M Fritsche, U Güçlü, S Schoenmakers, J-M Schoffelen, S E Bosch, M A J van Gerven
Representations learned by deep convolutional neural networks (CNNs) for object recognition are a widely investigated model of the processing hierarchy in the human visual system. Using functional magnetic resonance imaging, CNN representations of visual stimuli have previously been shown to correspond to processing stages in the ventral and dorsal streams of the visual system. Whether this correspondence between models and brain signals also holds for activity acquired at high temporal resolution has been explored less exhaustively...
July 16, 2017: NeuroImage
https://www.readbyqxmd.com/read/28720550/sex-linked-association-between-cortical-scene-selectivity-and-navigational-ability
#17
Xiang-Zhen Kong, Yi Huang, Xin Hao, Siyuan Hu, Jia Liu
Spatial navigation is a crucial ability for living. Previous studies have shown that males are better at navigation than females, but little is known about the neural basis underlying the sex differences. In this study, we investigated whether cortical scene processing in three well-established scene-selective regions was sexually different, by examining sex differences in scene selectivity and its behavioral relevance to navigation. To do this, we used functional magnetic resonance imaging (fMRI) to scan the parahippocampal place area (PPA), retrosplenial complex (RSC), and occipital place area (OPA) in a large cohort of healthy young adults viewing navigationally relevant scenes (N = 202), and correlated their neural selectivity to scenes with their self-reported navigational ability...
July 16, 2017: NeuroImage
https://www.readbyqxmd.com/read/28720551/accelerating-permutation-testing-in-voxel-wise-analysis-through-subspace-tracking-a-new-plugin-for-snpm
#18
Felipe Gutierrez-Barragan, Vamsi K Ithapu, Chris Hinrichs, Camille Maumet, Sterling C Johnson, Thomas E Nichols, Vikas Singh
Permutation testing is a non-parametric method for obtaining the max null distribution used to compute corrected p-values that provide strong control of false positives. In neuroimaging, however, the computational burden of running such an algorithm can be significant. We find that by viewing the permutation testing procedure as the construction of a very large permutation testing matrix, T, one can exploit structural properties derived from the data and the test statistics to reduce the runtime under certain conditions...
July 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28716716/fiber-tractography-using-machine-learning
#19
Peter F Neher, Marc-Alexandre Côté, Jean-Christophe Houde, Maxime Descoteaux, Klaus H Maier-Hein
We present a fiber tractography approach based on a random forest classification and voting process, guiding each step of the streamline progression by directly processing raw diffusion-weighted signal intensities. For comparison to the state-of-the-art, i.e. tractography pipelines that rely on mathematical modeling, we performed a quantitative and qualitative evaluation with multiple phantom and in vivo experiments, including a comparison to the 96 submissions of the ISMRM tractography challenge 2015. The results demonstrate the vast potential of machine learning for fiber tractography...
July 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/28716718/multivariate-pattern-analysis-of-meg-and-eeg-a-comparison-of-representational-structure-in-time-and-space
#20
Radoslaw Martin Cichy, Dimitrios Pantazis
Multivariate pattern analysis of magnetoencephalography (MEG) and electroencephalography (EEG) data can reveal the rapid neural dynamics underlying cognition. However, MEG and EEG have systematic differences in sampling neural activity. This poses the question to which degree such measurement differences consistently bias the results of multivariate analysis applied to MEG and EEG activation patterns. To investigate, we conducted a concurrent MEG/EEG study while participants viewed images of everyday objects...
July 14, 2017: NeuroImage
journal
journal
31181
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"