scholarly journals The organization of the human striatum estimated by intrinsic functional connectivity

2012 ◽  
Vol 108 (8) ◽  
pp. 2242-2263 ◽  
Author(s):  
Eun Young Choi ◽  
B. T. Thomas Yeo ◽  
Randy L. Buckner
Keyword(s):  
Cerebral Cortex ◽  
Functional Connectivity ◽  
Large Scale ◽  
Supplementary Motor Area ◽  
Strongly Correlated ◽  
Resting State Functional Connectivity ◽  
Tract Tracing ◽  
Motor Representation ◽  
Anatomical Studies ◽  
Functional Connectivity Mri

The striatum is connected to the cerebral cortex through multiple anatomical loops that process sensory, limbic, and heteromodal information. Tract-tracing studies in the monkey reveal that these corticostriatal connections form stereotyped patterns in the striatum. Here the organization of the striatum was explored in the human with resting-state functional connectivity MRI (fcMRI). Data from 1,000 subjects were registered with nonlinear deformation of the striatum in combination with surface-based alignment of the cerebral cortex. fcMRI maps derived from seed regions placed in the foot and tongue representations of the motor cortex yielded the expected inverted somatotopy in the putamen. fcMRI maps derived from the supplementary motor area were located medially to the primary motor representation, also consistent with anatomical studies. The topography of the complete striatum was estimated and replicated by assigning each voxel in the striatum to its most strongly correlated cortical network in two independent groups of 500 subjects. The results revealed at least five cortical zones in the striatum linked to sensorimotor, premotor, limbic, and two association networks with a topography globally consistent with monkey anatomical studies. The majority of the human striatum was coupled to cortical association networks. Examining these association networks further revealed details that fractionated the five major networks. The resulting estimates of striatal organization provide a reference for exploring how the striatum contributes to processing motor, limbic, and heteromodal information through multiple large-scale corticostriatal circuits.

scholarly journals The organization of the human cerebellum estimated by intrinsic functional connectivity

2011 ◽  
Vol 106 (5) ◽  
pp. 2322-2345 ◽  
Author(s):  
Randy L. Buckner ◽  
Fenna M. Krienen ◽  
Angela Castellanos ◽  
Julio C. Diaz ◽  
B. T. Thomas Yeo
Keyword(s):  
Cerebral Cortex ◽  
Functional Connectivity ◽  
Body Representation ◽  
Anterior Lobe ◽  
Association Cortex ◽  
Posterior Lobe ◽  
Resting State Functional Connectivity ◽  
Discovery Sample ◽  
Human Cerebellum ◽  
Functional Connectivity Mri

The cerebral cortex communicates with the cerebellum via polysynaptic circuits. Separate regions of the cerebellum are connected to distinct cerebral areas, forming a complex topography. In this study we explored the organization of cerebrocerebellar circuits in the human using resting-state functional connectivity MRI (fcMRI). Data from 1,000 subjects were registered using nonlinear deformation of the cerebellum in combination with surface-based alignment of the cerebral cortex. The foot, hand, and tongue representations were localized in subjects performing movements. fcMRI maps derived from seed regions placed in different parts of the motor body representation yielded the expected inverted map of somatomotor topography in the anterior lobe and the upright map in the posterior lobe. Next, we mapped the complete topography of the cerebellum by estimating the principal cerebral target for each point in the cerebellum in a discovery sample of 500 subjects and replicated the topography in 500 independent subjects. The majority of the human cerebellum maps to association areas. Quantitative analysis of 17 distinct cerebral networks revealed that the extent of the cerebellum dedicated to each network is proportional to the network's extent in the cerebrum with a few exceptions, including primary visual cortex, which is not represented in the cerebellum. Like somatomotor representations, cerebellar regions linked to association cortex have separate anterior and posterior representations that are oriented as mirror images of one another. The orderly topography of the representations suggests that the cerebellum possesses at least two large, homotopic maps of the full cerebrum and possibly a smaller third map.

scholarly journals The organization of the human cerebral cortex estimated by intrinsic functional connectivity

2011 ◽  
Vol 106 (3) ◽  
pp. 1125-1165 ◽  
Author(s):  
B. T. Thomas Yeo ◽  
Fenna M. Krienen ◽  
Jorge Sepulcre ◽  
Mert R. Sabuncu ◽  
Danial Lashkari ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Functional Connectivity ◽  
Large Scale ◽  
Distributed Networks ◽  
Association Cortex ◽  
Resting State Functional Connectivity ◽  
Local Networks ◽  
Temporal Area ◽  
Hierarchical Relations ◽  
Connectivity Patterns

Information processing in the cerebral cortex involves interactions among distributed areas. Anatomical connectivity suggests that certain areas form local hierarchical relations such as within the visual system. Other connectivity patterns, particularly among association areas, suggest the presence of large-scale circuits without clear hierarchical relations. In this study the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI. Data from 1,000 subjects were registered using surface-based alignment. A clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex. The results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions. Within the sensory and motor cortices, functional connectivity followed topographic representations across adjacent areas. In association cortex, the connectivity patterns often showed abrupt transitions between network boundaries. Focused analyses were performed to better understand properties of network connectivity. A canonical sensory-motor pathway involving primary visual area, putative middle temporal area complex (MT+), lateral intraparietal area, and frontal eye field was analyzed to explore how interactions might arise within and between networks. Results showed that adjacent regions of the MT+ complex demonstrate differential connectivity consistent with a hierarchical pathway that spans networks. The functional connectivity of parietal and prefrontal association cortices was next explored. Distinct connectivity profiles of neighboring regions suggest they participate in distributed networks that, while showing evidence for interactions, are embedded within largely parallel, interdigitated circuits. We conclude by discussing the organization of these large-scale cerebral networks in relation to monkey anatomy and their potential evolutionary expansion in humans to support cognition.

Hemispheric Asymmetry of Supplementary Motor Area Proper: A Functional Connectivity Study of the Motor Network

Motor Control ◽  
2016 ◽  
Vol 20 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Mickael Dinomais ◽  
Eva Chinier ◽  
Isabelle Richard ◽  
Emmanuel Ricalens ◽  
Christophe Aubé ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Hemispheric Asymmetry ◽  
Primary Motor Cortex ◽  
Supplementary Motor Area ◽  
Posterior Part ◽  
Motor Area ◽  
Resting State Functional Connectivity ◽  
Functional Connections ◽  
Motor Network ◽  
Functional Connectivity Mri

Cerebral asymmetry is a common feature of human functions. However, there are discrepancies in the literature about functional hemispheric asymmetries in the supplementary motor area (SMA), specifically in the posterior part (SMA-proper). We used resting state functional connectivity MRI to investigate the left-right asymmetries of the functional networks associated with primary motor cortex (M1) and SMA-proper using a “seed”-based correlation analysis in 30 healthy right-handed subjects. We showed that left M1 was more connected with areas involved in the motor system than right M1, and that right SMA-proper had more functional connections than its left counterpart. Our results are in agreement with a leftward asymmetry for M1 connectivity, whereas there is a rightward asymmetry of the SMA-proper connectivity.

scholarly journals Resting State Functional Connectivity Predicts Future Changes in Sedentary Behavior

2021 ◽  
Author(s):  
Timothy P. Morris ◽  
Aaron Kucyi ◽  
Sheeba Arnold Anteraper ◽  
Maiya Rachel Geddes ◽  
Alfonso Nieto-Castañon ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Exercise Intervention ◽  
Supplementary Motor Area ◽  
Anterior Insula ◽  
Motor Area ◽  
Anterior Cingulate ◽  
Sedentary Behaviors ◽  
Resting State Functional Connectivity ◽  
The Right

AbstractInformation about a person’s available energy resources is integrated in daily behavioral choices that weigh motor costs against expected rewards. It has been posited that humans have an innate attraction towards effort minimization and that executive control is required to overcome this prepotent disposition. With sedentary behaviors increasing at the cost of millions of dollars spent in health care and productivity losses due to physical inactivity-related deaths, understanding the predictors of sedentary behaviors will improve future intervention development and precision medicine approaches. In 64 healthy older adults participating in a 6-month aerobic exercise intervention, we use neuroimaging (resting state functional connectivity), baseline measures of executive function and accelerometer measures of time spent sedentary to predict future changes in objectively measured time spent sedentary in daily life. Using cross-validation and bootstrap resampling, our results demonstrate that functional connectivity between 1) the anterior cingulate cortex and the supplementary motor area and 2) the right anterior insula and the left temporoparietal/temporooccipital junction, predict changes in time spent sedentary, whereas baseline cognitive, behavioral and demographic measures do not. Previous research has shown activation in and between the anterior cingulate and supplementary motor area as well as in the right anterior insula during effort avoidance and tasks that integrate motor costs and reward benefits in effort-based decision making. Our results add important knowledge toward understanding mechanistic associations underlying complex sedentary behaviors.

scholarly journals Attention network modulation via tRNS correlates with attention gain

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Federica Contò ◽  
Grace Edwards ◽  
Sarah Tyler ◽  
Danielle Parrott ◽  
Emily Grossman ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Large Scale ◽  
Random Noise ◽  
Cognitive Capacity ◽  
Resting State Functional Connectivity ◽  
Attention Network ◽  
Transcranial Random Noise Stimulation ◽  
The Impact ◽  
Behavioral Improvement

Transcranial random noise stimulation (tRNS) can enhance vision in the healthy and diseased brain. Yet, the impact of multi-day tRNS on large-scale cortical networks is still unknown. We investigated the impact of tRNS coupled with behavioral training on resting-state functional connectivity and attention. We trained human subjects for 4 consecutive days on two attention tasks, while receiving tRNS over the intraparietal sulci, the middle temporal areas, or Sham stimulation. We measured resting-state functional connectivity of nodes of the dorsal and ventral attention network (DVAN) before and after training. We found a strong behavioral improvement and increased connectivity within the DVAN after parietal stimulation only. Crucially, behavioral improvement positively correlated with connectivity measures. We conclude changes in connectivity are a marker for the enduring effect of tRNS upon behavior. Our results suggest that tRNS has strong potential to augment cognitive capacity in healthy individuals and promote recovery in the neurological population.

scholarly journals Effects of Field-Map Distortion Correction on Resting State Functional Connectivity MRI

2017 ◽  
Vol 11 ◽  
Author(s):  
Hiroki Togo ◽  
Jaroslav Rokicki ◽  
Kenji Yoshinaga ◽  
Tatsuhiro Hisatsune ◽  
Hiroshi Matsuda ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Distortion Correction ◽  
Resting State Functional Connectivity ◽  
Functional Connectivity Mri

scholarly journals In vivo visuotopic brain mapping with manganese-enhanced MRI and resting-state functional connectivity MRI

NeuroImage ◽  
2014 ◽  
Vol 90 ◽  
pp. 235-245 ◽  
Author(s):  
Kevin C. Chan ◽  
Shu-Juan Fan ◽  
Russell W. Chan ◽  
Joe S. Cheng ◽  
Iris Y. Zhou ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Brain Mapping ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Enhanced Mri ◽  
Functional Connectivity Mri ◽  
Manganese Enhanced Mri

scholarly journals Prevalent and sex-biased breathing patterns modify functional connectivity MRI in young adults

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Charles J. Lynch ◽  
Benjamin M. Silver ◽  
Marc J. Dubin ◽  
Alex Martin ◽  
Henning U. Voss ◽  
...  
Keyword(s):  
Young Adults ◽  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Resonance Imaging ◽  
Breathing Patterns ◽  
Resting State Functional Connectivity ◽  
Brain Organization ◽  
Normal Breathing ◽  
Functional Connectivity Mri

Abstract Resting state functional connectivity magnetic resonance imaging (fMRI) is a tool for investigating human brain organization. Here we identify, visually and algorithmically, two prevalent influences on fMRI signals during 440 h of resting state scans in 440 healthy young adults, both caused by deviations from normal breathing which we term deep breaths and bursts. The two respiratory patterns have distinct influences on fMRI signals and signal covariance, distinct timescales, distinct cardiovascular correlates, and distinct tendencies to manifest by sex. Deep breaths are not sex-biased. Bursts, which are serial taperings of respiratory depth typically spanning minutes at a time, are more common in males. Bursts share features of chemoreflex-driven clinical breathing patterns that also occur primarily in males, with notable neurological, psychiatric, medical, and lifespan associations. These results identify common breathing patterns in healthy young adults with distinct influences on functional connectivity and an ability to differentially influence resting state fMRI studies.

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