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Antonio Ferretti - One of the best experts on this subject based on the ideXlab platform.
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modifications in resting state functional anticorrelation between default mode Network and Dorsal Attention Network comparison among young adults healthy elders and mild cognitive impairment patients
Brain Imaging and Behavior, 2018Co-Authors: Roberto Esposito, Filippo Cieri, Piero Chiacchiaretta, Nicoletta Cera, Mariella Lauriola, Massimo Di Giannantonio, Armando Tartaro, Antonio FerrettiAbstract:Resting state brain activity incorporates different components, including the Default Mode Network and the Dorsal Attention Network, also known as task-negative Network and task-positive Network respectively. These two Networks typically show an anticorrelated activity during both spontaneous oscillations and task execution. However modifications of this anticorrelated activity pattern with age and pathology are still unclear. The present study aimed to investigate differences in resting state Default Mode Network-Dorsal Attention Network functional anticorrelation among young adults, healthy elders and Mild Cognitive Impairment patients. We retrospectively enrolled in this study 27 healthy young adults (age range: 25–35 y.o.; mean age: 28,5), 26 healthy elders (age range: 61–72 y.o.; mean age: 65,1) and 17 MCI patients (age range 64–87 y.o.; mean age: 73,6). Mild Cognitive Impairment patients were selected following Petersen criteria. All participants underwent neuropsychological evaluation and resting state functional Magnetic Resonance Imaging. Spontaneous anticorrelated activity between Default Mode Network and Dorsal Attention Network was observed in each group. This anticorrelation was significantly decreased with age in most Default Mode Network-Dorsal Attention Network connections (p < 0.001, False Discovery Rate corrected). Moreover, the anticorrelation between the posterior cingulate cortex node of the Default Mode Network and the right inferior parietal sulcus node of the Dorsal Attention Network was significantly decreased when comparing Mild Cognitive Impairment with normal elders (p < 0.001, False Discovery Rate corrected). The functional connectivity changes in patients were not related to significant differences in grey matter content. Our results suggest that a reduced anticorrelated activity between Default Mode Network and Dorsal Attention Network is part of the normal aging process and that Mild Cognitive Impairment status is associated with more evident inter-Networks functional connectivity changes.
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Modifications in resting state functional anticorrelation between default mode Network and Dorsal Attention Network: comparison among young adults, healthy elders and mild cognitive impairment patients
Brain imaging and behavior, 2017Co-Authors: Roberto Esposito, Filippo Cieri, Piero Chiacchiaretta, Nicoletta Cera, Mariella Lauriola, Massimo Di Giannantonio, Armando Tartaro, Antonio FerrettiAbstract:Resting state brain activity incorporates different components, including the Default Mode Network and the Dorsal Attention Network, also known as task-negative Network and task-positive Network respectively. These two Networks typically show an anticorrelated activity during both spontaneous oscillations and task execution. However modifications of this anticorrelated activity pattern with age and pathology are still unclear. The present study aimed to investigate differences in resting state Default Mode Network-Dorsal Attention Network functional anticorrelation among young adults, healthy elders and Mild Cognitive Impairment patients. We retrospectively enrolled in this study 27 healthy young adults (age range: 25-35 y.o.; mean age: 28,5), 26 healthy elders (age range: 61-72 y.o.; mean age: 65,1) and 17 MCI patients (age range 64-87 y.o.; mean age: 73,6). Mild Cognitive Impairment patients were selected following Petersen criteria. All participants underwent neuropsychological evaluation and resting state functional Magnetic Resonance Imaging. Spontaneous anticorrelated activity between Default Mode Network and Dorsal Attention Network was observed in each group. This anticorrelation was significantly decreased with age in most Default Mode Network-Dorsal Attention Network connections (p
David C. Somers - One of the best experts on this subject based on the ideXlab platform.
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predicting an individual s Dorsal Attention Network activity from functional connectivity fingerprints
Journal of Neurophysiology, 2019Co-Authors: David E. Osher, James A. Brissenden, David C. SomersAbstract:The Dorsal Attention Network (DAN) is a set of regions in frontoparietal cortex that reliably activate during Attentional tasks. We designed computational models that predict the degree of an indiv...
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Cortico-cerebellar Networks for visual Attention and working memory.
Current opinion in psychology, 2019Co-Authors: James A. Brissenden, David C. SomersAbstract:Cerebellar cortex, which is cytoarchitectonically homogenous, can be functionally differentiated by connectivity differences across the cerebral cortex. The cerebral cortical Dorsal Attention Network exhibits strong, selective connectivity with a set of cerebellar circuits, including lobule VIIb/VIIIa. Recent findings demonstrate that lobule VIIb/VIIIa exhibits functional properties characteristic of the cortical Dorsal Attention Network: task-specific activation; working memory load-dependent responses; and the representation of visuospatial location. Moreover, functional cortico-cerebellar subNetworks exhibit topographic specialization for different aspects of visual Attentional processing. Thus, cerebellar lobule VIIb/VIIIa, rather than simply supporting motor functions, appears to be an integral part of the brain's visual Attentional circuitry. More generally, these findings suggest that parallel cortico-cerebellar Networks may play highly specific functional roles in a broad range of cognitive processes.
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Predicting an individual’s Dorsal Attention Network activity from functional connectivity fingerprints
Journal of neurophysiology, 2019Co-Authors: David E. Osher, James A. Brissenden, David C. SomersAbstract:The cortical Dorsal Attention Network (DAN) is a set of parietal and frontal regions that support a wide variety of Attentionally demanding tasks. Whereas Attentional deployment reliably drives DAN activity across subjects, there is a large degree of variation in the activation pattern in individual subjects. We hypothesize that a subject's own idiosyncratic pattern of cortical DAN activity can be predicted from that subject's own unique pattern of functional connectivity. By modeling task activation as a function of whole brain connectivity patterns, we are able to define the connectivity fingerprints for the frontal and parietal DAN, and use it to predict a subject's characteristic DAN activation pattern with high accuracy. These predictions outperform the standard group-average benchmark and predict a subject's own activation pattern above and beyond predictions from another subject's connectivity pattern. Thus an individual's distinctive connectivity pattern accounts for substantial variance in DAN functional responses. Last, we show that the set of connections that predict cortical DAN responses, the frontal and parietal DAN connectivity fingerprints, is predominantly composed of other coactive regions, including regions outside of the DAN including occipital and temporal visual cortices. These connectivity fingerprints represent defining computational characteristics of the DAN, delineating which voxels are or are not capable of exerting top-down Attentional bias to other regions of the brain. NEW & NOTEWORTHY The Dorsal Attention Network (DAN) is a set of regions in frontoparietal cortex that reliably activate during Attentional tasks. We designed computational models that predict the degree of an individual's DAN activation using their resting-state connectivity pattern alone. This uncovered the connectivity fingerprints of the DAN, which define it so well that we can predict how a voxel will respond to an Attentional task given only its pattern of connectivity, with outstanding accuracy.
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Predicting an individual’s Dorsal Attention Network activity from functional connectivity fingerprints
Journal of neurophysiology, 2019Co-Authors: David E. Osher, James A. Brissenden, David C. SomersAbstract:The Dorsal Attention Network (DAN) is a set of regions in frontoparietal cortex that reliably activate during Attentional tasks. We designed computational models that predict the degree of an indiv...
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Functional Evidence for a Cerebellar Node of the Dorsal Attention Network.
The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016Co-Authors: James A. Brissenden, Emily J. Levin, David E. Osher, Mark A. Halko, David C. SomersAbstract:The "Dorsal Attention Network" or "frontoparietal Network" refers to a Network of cortical regions that support sustained Attention and working memory. Recent work has demonstrated that cortical nodes of the Dorsal Attention Network possess intrinsic functional connections with a region in ventral cerebellum, in the vicinity of lobules VII/VIII. Here, we performed a series of task-based and resting-state fMRI experiments to investigate cerebellar participation in the Dorsal Attention Network in humans. We observed that visual working memory and visual Attention tasks robustly recruit cerebellar lobules VIIb and VIIIa, in addition to canonical cortical Dorsal Attention Network regions. Across the cerebellum, resting-state functional connectivity with the cortical Dorsal Attention Network strongly predicted the level of activation produced by Attention and working memory tasks. Critically, cerebellar voxels that were most strongly connected with the Dorsal Attention Network selectively exhibited load-dependent activity, a hallmark of the neural structures that support visual working memory. Finally, we examined intrinsic functional connectivity between task-responsive portions of cerebellar lobules VIIb/VIIIa and cortex. Cerebellum-to-cortex functional connectivity strongly predicted the pattern of cortical activation during task performance. Moreover, resting-state connectivity patterns revealed that cerebellar lobules VIIb/VIIIa group with cortical nodes of the Dorsal Attention Network. This evidence leads us to conclude that the conceptualization of the Dorsal Attention Network should be expanded to include cerebellar lobules VIIb/VIIIa. The functional participation of cerebellar structures in nonmotor cortical Networks remains poorly understood and is highly understudied, despite the fact that the cerebellum possesses many more neurons than the cerebral cortex. Although visual Attention paradigms have been reported to activate cerebellum, many researchers have largely dismissed the possibility of a cerebellar contribution to Attention in favor of a motor explanation, namely, eye movements. The present study demonstrates that a cerebellar subdivision (mainly lobules VIIb/VIIIa), which exhibits strong intrinsic functional connectivity with the cortical Dorsal Attention Network, also closely mirrors a myriad of cortical Dorsal Attention Network responses to visual Attention and working memory tasks. This evidence strongly supports a reconceptualization of the Dorsal Attention Network to include cerebellar lobules VIIb/VIIIa. Copyright © 2016 the authors 0270-6474/16/366083-14$15.00/0.
Kristin R. Archer - One of the best experts on this subject based on the ideXlab platform.
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Thalamic Functional Connectivity in Mild Traumatic Brain Injury: Longitudinal Associations With Patient-Reported Outcomes and Neuropsychological Tests.
Archives of physical medicine and rehabilitation, 2016Co-Authors: Sarah Diane Banks, Rogelio A. Coronado, Lori R. Clemons, Christine M. Abraham, Sumit Pruthi, Benjamin N. Conrad, Victoria L. Morgan, Oscar D. Guillamondegui, Kristin R. ArcherAbstract:(1) To examine differences in patient-reported outcomes, neuropsychological tests, and thalamic functional connectivity (FC) between patients with mild traumatic brain injury (mTBI) and individuals without mTBI and (2) to determine longitudinal associations between changes in these measures. Prospective observational case-control study. Academic medical center. A sample (N=24) of 13 patients with mTBI (mean age, 39.3±14.0y; 4 women [31%]) and 11 age- and sex-matched controls without mTBI (mean age, 37.6±13.3y; 4 women [36%]). Not applicable. Resting state FC (3T magnetic resonance imaging scanner) was examined between the thalamus and the default mode Network, Dorsal Attention Network, and frontoparietal control Network. Patient-reported outcomes included pain (Brief Pain Inventory), depressive symptoms (Patient Health Questionnaire-9), posttraumatic stress disorder ([PTSD] Checklist - Civilian Version), and postconcussive symptoms (Rivermead Post-Concussion Symptoms Questionnaire). Neuropsychological tests included the Delis-Kaplan Executive Function System Tower test, Trails B, and Hotel Task. Assessments occurred at 6 weeks and 4 months after hospitalization in patients with mTBI and at a single visit for controls. Student t tests found increased pain, depressive symptoms, PTSD symptoms, and postconcussive symptoms; decreased performance on Trails B; increased FC between the thalamus and the default mode Network; and decreased FC between the thalamus and the Dorsal Attention Network and between the thalamus and the frontoparietal control Network in patients with mTBI as compared with controls. The Spearman correlation coefficient indicated that increased FC between the thalamus and the Dorsal Attention Network from baseline to 4 months was associated with decreased pain and postconcussive symptoms (corrected P<.05). Findings suggest that alterations in thalamic FC occur after mTBI, and improvements in pain and postconcussive symptoms are correlated with normalization of thalamic FC over time. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
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Thalamic Functional Connectivity in Mild Traumatic Brain Injury: Longitudinal Associations With Patient-Reported Outcomes and Neuropsychological Tests.
Archives of physical medicine and rehabilitation, 2016Co-Authors: Sarah Diane Banks, Rogelio A. Coronado, Lori R. Clemons, Christine M. Abraham, Sumit Pruthi, Benjamin N. Conrad, Victoria L. Morgan, Oscar D. Guillamondegui, Kristin R. ArcherAbstract:Abstract Objectives (1) To examine differences in patient-reported outcomes, neuropsychological tests, and thalamic functional connectivity (FC) between patients with mild traumatic brain injury (mTBI) and individuals without mTBI and (2) to determine longitudinal associations between changes in these measures. Design Prospective observational case-control study. Setting Academic medical center. Participants A sample (N=24) of 13 patients with mTBI (mean age, 39.3±14.0y; 4 women [31%]) and 11 age- and sex-matched controls without mTBI (mean age, 37.6±13.3y; 4 women [36%]). Interventions Not applicable. Main Outcome Measures Resting state FC (3T magnetic resonance imaging scanner) was examined between the thalamus and the default mode Network, Dorsal Attention Network, and frontoparietal control Network. Patient-reported outcomes included pain (Brief Pain Inventory), depressive symptoms (Patient Health Questionnaire-9), posttraumatic stress disorder ([PTSD] Checklist – Civilian Version), and postconcussive symptoms (Rivermead Post-Concussion Symptoms Questionnaire). Neuropsychological tests included the Delis-Kaplan Executive Function System Tower test, Trails B, and Hotel Task. Assessments occurred at 6 weeks and 4 months after hospitalization in patients with mTBI and at a single visit for controls. Results Student t tests found increased pain, depressive symptoms, PTSD symptoms, and postconcussive symptoms; decreased performance on Trails B; increased FC between the thalamus and the default mode Network; and decreased FC between the thalamus and the Dorsal Attention Network and between the thalamus and the frontoparietal control Network in patients with mTBI as compared with controls. The Spearman correlation coefficient indicated that increased FC between the thalamus and the Dorsal Attention Network from baseline to 4 months was associated with decreased pain and postconcussive symptoms (corrected P Conclusions Findings suggest that alterations in thalamic FC occur after mTBI, and improvements in pain and postconcussive symptoms are correlated with normalization of thalamic FC over time.
Roberto Esposito - One of the best experts on this subject based on the ideXlab platform.
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modifications in resting state functional anticorrelation between default mode Network and Dorsal Attention Network comparison among young adults healthy elders and mild cognitive impairment patients
Brain Imaging and Behavior, 2018Co-Authors: Roberto Esposito, Filippo Cieri, Piero Chiacchiaretta, Nicoletta Cera, Mariella Lauriola, Massimo Di Giannantonio, Armando Tartaro, Antonio FerrettiAbstract:Resting state brain activity incorporates different components, including the Default Mode Network and the Dorsal Attention Network, also known as task-negative Network and task-positive Network respectively. These two Networks typically show an anticorrelated activity during both spontaneous oscillations and task execution. However modifications of this anticorrelated activity pattern with age and pathology are still unclear. The present study aimed to investigate differences in resting state Default Mode Network-Dorsal Attention Network functional anticorrelation among young adults, healthy elders and Mild Cognitive Impairment patients. We retrospectively enrolled in this study 27 healthy young adults (age range: 25–35 y.o.; mean age: 28,5), 26 healthy elders (age range: 61–72 y.o.; mean age: 65,1) and 17 MCI patients (age range 64–87 y.o.; mean age: 73,6). Mild Cognitive Impairment patients were selected following Petersen criteria. All participants underwent neuropsychological evaluation and resting state functional Magnetic Resonance Imaging. Spontaneous anticorrelated activity between Default Mode Network and Dorsal Attention Network was observed in each group. This anticorrelation was significantly decreased with age in most Default Mode Network-Dorsal Attention Network connections (p < 0.001, False Discovery Rate corrected). Moreover, the anticorrelation between the posterior cingulate cortex node of the Default Mode Network and the right inferior parietal sulcus node of the Dorsal Attention Network was significantly decreased when comparing Mild Cognitive Impairment with normal elders (p < 0.001, False Discovery Rate corrected). The functional connectivity changes in patients were not related to significant differences in grey matter content. Our results suggest that a reduced anticorrelated activity between Default Mode Network and Dorsal Attention Network is part of the normal aging process and that Mild Cognitive Impairment status is associated with more evident inter-Networks functional connectivity changes.
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Modifications in resting state functional anticorrelation between default mode Network and Dorsal Attention Network: comparison among young adults, healthy elders and mild cognitive impairment patients
Brain imaging and behavior, 2017Co-Authors: Roberto Esposito, Filippo Cieri, Piero Chiacchiaretta, Nicoletta Cera, Mariella Lauriola, Massimo Di Giannantonio, Armando Tartaro, Antonio FerrettiAbstract:Resting state brain activity incorporates different components, including the Default Mode Network and the Dorsal Attention Network, also known as task-negative Network and task-positive Network respectively. These two Networks typically show an anticorrelated activity during both spontaneous oscillations and task execution. However modifications of this anticorrelated activity pattern with age and pathology are still unclear. The present study aimed to investigate differences in resting state Default Mode Network-Dorsal Attention Network functional anticorrelation among young adults, healthy elders and Mild Cognitive Impairment patients. We retrospectively enrolled in this study 27 healthy young adults (age range: 25-35 y.o.; mean age: 28,5), 26 healthy elders (age range: 61-72 y.o.; mean age: 65,1) and 17 MCI patients (age range 64-87 y.o.; mean age: 73,6). Mild Cognitive Impairment patients were selected following Petersen criteria. All participants underwent neuropsychological evaluation and resting state functional Magnetic Resonance Imaging. Spontaneous anticorrelated activity between Default Mode Network and Dorsal Attention Network was observed in each group. This anticorrelation was significantly decreased with age in most Default Mode Network-Dorsal Attention Network connections (p
Hakwan Lau - One of the best experts on this subject based on the ideXlab platform.
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prestimulus hemodynamic activity in Dorsal Attention Network is negatively associated with decision confidence in visual perception
Journal of Neurophysiology, 2012Co-Authors: Dobromir Rahnev, Linda Bahdo, Floris P. De Lange, Hakwan LauAbstract:Attention is thought to improve most aspects of perception. However, we recently showed that, somewhat surprisingly, endogenous Attention can also lead to low subjective perceptual ratings (Rahnev ...
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Prestimulus hemodynamic activity in Dorsal Attention Network is negatively associated with decision confidence in visual perception.
Journal of neurophysiology, 2012Co-Authors: Dobromir Rahnev, Linda Bahdo, Floris P. De Lange, Hakwan LauAbstract:Attention is thought to improve most aspects of perception. However, we recently showed that, somewhat surprisingly, endogenous Attention can also lead to low subjective perceptual ratings (Rahnev et al., 2011). Here we investigated the neural basis of this effect and tested whether spontaneous fluctuations of the Attentional state can lead to low confidence in one's perceptual decision. We measured prestimulus functional magnetic resonance imaging activity in the Dorsal Attention Network and used that activity as an index of the level of Attention involved in a motion direction discrimination task. Extending our previous findings, we showed that low prestimulus activity in the Dorsal Attention Network, which presumably reflected low level of Attention, was associated with higher confidence ratings. These results were explained by a signal detection theoretic model in which lack of Attention increases the trial-by-trial variability of the internal perceptual response. In line with the model, we also found that low prestimulus activity in the Dorsal Attention Network was associated with higher trial-by-trial variability of poststimulus peak activity in the motion-sensitive region MT+. These findings support the notion that lack of Attention may lead to liberal subjective perceptual biases, a phenomenon we call "inAttentional inflation of subjective perception."