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About 10,000 papers for “functional connectivity”

Functional Connectivity

Christopher Summerfield (27914), Matthew Greene (27915), Tor Wager (27916) et al. · Figshare · 2015

<div><p>(A) Voxels exhibiting significant (\n<i>p</i> < 0.01, cluster size > 62 5mm<sup>3</sup>) functional connectivity with the FFA (red) and PPA (blue).\n</p>\n <p>(B) Voxels exhibiting significant (\n<i>p</i> < 0.01, cluster size > 625 mm<sup>3</sup>) functional connectivity with the average of the FFA/PPA ROI. The blue crosshairs mark the peak voxel (\n<i>t</i> = 4.57, \n<i>p</i> < 0.001), and the color scale refers to \n<i>t</i> values.\n</p>\n <p>(C) Scatterplots of the correlation between connectivity (timeseries correlation \n<i>r</i> value) and encoding success (Fisher's \n<i>z</i> score) for the peak voxel in the PFC correlating with the FFA (left panel) and PPA (right panel). Each blue cross is one participant/block; gray lines are the fit of the correlation for each participant.\n</p></div>

Cited by 0Open access

Functional connectivity.

Victor Schmidbauer (12119472), Karl-Heinz Nenning (6029777), Michelle Schwarz (12119475) et al. · Figshare · 2022

<p>A: Functional connectivity in left TLE. B: Functional connectivity in right TLE. Seed-regions are indicated by the columns (a, b, c, d, e, f). a: left parahippocampus; b: right parahippocampus; c: left hippocampus; d: right hippocampus; e: left insula; f: right insula. Upper row: superior view; second row: left view; third row: right view; bottom row: inferior view. Compared to subjects with left TLE, right TLE patients show reduced FC of left-sided and right-sided mesiotemporal regions within temporal and to extratemporal brain areas. As opposed to mesiotemporal areas, the FC pattern of left and right insular regions appears less affected. In general, right TLE patients show pronounced FC alterations compared to left TLE patients. Images are displayed at a threshold level at <i>p</i><0.05 (FDR). L: left hemisphere; R: right hemisphere.</p>

Cited by 0Open access

Functional Connectivity Maps.

Robert Gear (290092), Lino Becerra (192476), Jaymin Upadhyay (290094) et al. · Figshare · 2015

<p>Caudate functional connectivity induced by Nalb-Sal that was blocked by naloxone (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0050169#pone-0050169-t004" target="_blank">Table 4</a>). There was no functional significant connectivity induced by the Nalb-Nalox treatment.</p>

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Functional connectivity networks.

Zheng Long Lee (19065538), Savannah Kiah Hui Siew (12035090), Junhong Yu (1790401) · Figshare · 2024

<p>Chord diagrams illustrate certain patterns of FC networks which are significantly predictive of the personality traits a) without controlling for age and sex and b) after controlling for age and sex. A positive strength between a pair of networks would suggest that stronger positive connectivity between them is associated with higher scores on the personality trait. DAN = dorsal attention network. VAN = ventral attention network. FPN = frontoparietal network. SMN = somatomotor network. DMN = default mode network.</p>

Cited by 0Open access

Functional connectivity maps.

Zhentao Zuo (424286), Rui Wang (52434), Yan Zhuo (290999) et al. · Figshare · 2015

<p>Multi-slice functional connectivity maps with different spatial resolutions generated using the left motor cortex as the seed based on resting state PASL scans at 7 Τ. The upper row shows task activation fMRI maps of alternating finger tapping.</p>

Cited by 0Open access

Functional connectivity to functional categories.

Heather A. Hansen (9536530), Jin Li (119007), Zeynep M. Saygin (9536533) · Figshare · 2020

<p>(A) Bar plot of mean functional connectivity to each of the 7 functional categories, with adults in gray and neonates in red. Error bars are standard error of the mean. *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001 (C) FC fingerprint plot depicting the pattern of connectivity of both samples. Axes are mean centered FC values for each sample. Parentheses show which of the 11 parcels were included in each category. Asterisks denote significance between groups for each category.</p>

Cited by 0Open access

Intrinsic functional connectivity.

Junghee Lee (88069), Amy M. Jimenez (704565), William P. Horan (643715) et al. · Figshare · 2019

<p>A) default mode network component identified from rsfMRI data across groups. Cross-hairs centered on MNI coordinates: x = -6, y = -50, z = 21. B) this figure illustrates a group by interaction shown in the analysis using randomise.</p>

Cited by 0Open access

Brain Functional Connectivity

2026

This reprint captures how functional connectivity research is revolutionizing brain science. The featured papers bridge fundamental discovery with tangible applications, uncovering the neural architecture of decision-making, social cognition, and clinical disorders. Integrating methods from electrophysiology to artificial intelligence, the contributions advance beyond correlation toward predictive modeling and mechanistic insight. This collection affirms that mapping brain networks is a foundational tool for progress in healthcare, neurotechnology, and our core understanding of the human mind.

Cited by 0Open access

Functional connectivity results.

Jeahong Kim (10654099), JeYoung Jung (4427284), Kichun Nam (4427287) · Figshare · 2021

<p>Red indicates TSA condition, green indicates TSW condition, and yellow indicates overlapping. *** p < 0.001, * p < 0.05.</p>

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Functional connectivity metrics.

Holger Finger (3140418), Marlene Bönstrup (3140415), Bastian Cheng (758880) et al. · Figshare · 2016

<p>The bars show the correlation between the empirical functional connectivity and the simulated functional connectivity obtained using the SAR model. The model based on the original structural connectivity is shown in blue and the baseline model which is based on shuffled structural connectivity in yellow. The gray box marks the reference procedure.</p>

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Functional connectivity? But...

Reid, Andrew · Zenodo (CERN European Organization for Nuclear Research) · 2017

Functional connectivity is a term originally coined to describe statistical dependence relationships between time series. But should such a relationship really be called connectivity? Functional correlations can easily arise from networks in the complete absence of physical connectivity (i.e., the classical axon/synapse projection we know from neurobiology). In this post I elaborate on recent conversations I’ve had regarding the use of correlations or partial correlations to infer the presence of connections, and their use in constructing graphs for topological analyses. Link to blog post.

Cited by 0Open access