scholarly journals A Reproducible Neurobiology of Depressive Rumination

2018 ◽  
Author(s):  
D.A. Pisner ◽  
J. Shumake ◽  
C.G. Beevers ◽  
D.M. Schnyer
Keyword(s):  
White Matter ◽  
Functional Connectivity ◽  
Executive Control ◽  
Structural Basis ◽  
Functional Magnetic Resonance ◽  
Resting State Functional Connectivity ◽  
Control Networks ◽  
Depressive Rumination ◽  
White Matter Microstructure ◽  
The Right

AbstractDepressive Rumination (DR), which involves a repetitive focus on one’s distress, has been linked to alterations in functional connectivity of the ‘triple-network’, consisting of Default-Mode, Salience, and Executive Control networks. A structural basis for these functional alterations that can dually explain DR’s persistence as a stable trait remains unexplored, however. Using diffusion and functional Magnetic Resonance Imaging, we investigated multimodal relationships between DR severity, white-matter microstructure, and resting-state functional connectivity in depressed adults, and then directly replicated our results in a phenotypically-matched, independent sample (total N = 78). Among the fully-replicated findings, DR severity was associated with: (a) global microstructure of the right Superior Longitudinal Fasciculus and local microstructure of distributed primary-fiber and crossing-fiber white-matter; (b) an imbalance of functional connectivity segregation and integration of the triple-network; and (c) ‘multi-layer’ associations linking these microstructural and functional connectivity biomarkers to one another. Taken together, the results provide reproducible evidence for a multi-layer, microstructural-functional network model of rumination in the depressed brain.

scholarly journals Aberrant Frontostriatal Connectivity in Negative Symptoms of Schizophrenia

2018 ◽  
Vol 45 (5) ◽  
pp. 1051-1059 ◽  
Author(s):  
Dinesh K Shukla ◽  
Joshua John Chiappelli ◽  
Hemalatha Sampath ◽  
Peter Kochunov ◽  
Stephanie M Hare ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Negative Symptom ◽  
Negative Symptoms ◽  
Imaging Study ◽  
Anterior Cingulate ◽  
Functional Magnetic Resonance ◽  
Resting State Functional Connectivity ◽  
Symptom Scale ◽  
Distinct Component ◽  
The Right

AbstractNegative symptoms represent a distinct component of psychopathology in schizophrenia (SCZ) and are a stable construct over time. Although impaired frontostriatal connectivity has been frequently described in SCZ, its link with negative symptoms has not been carefully studied. We tested the hypothesis that frontostriatal connectivity at rest may be associated with the severity of negative symptoms in SCZ. Resting state functional connectivity (rsFC) data from 95 mostly medicated patients with SCZ and 139 healthy controls (HCs) were acquired. Negative symptoms were assessed using the Brief Negative Symptom Scale. The study analyzed voxel-wise rsFC between 9 frontal “seed regions” and the entire striatum, with the intention to reduce potential biases introduced by predefining any single frontal or striatal region. SCZ showed significantly reduced rsFC between the striatum and the right medial and lateral orbitofrontal cortex (OFC), lateral prefrontal cortex, and rostral anterior cingulate cortex compared with HCs. Further, rsFC between the striatum and the right medial OFC was significantly associated with negative symptom severity. The involved striatal regions were primarily at the ventral putamen. Our results support reduced frontostriatal functional connectivity in SCZ and implicate striatal connectivity with the right medial OFC in negative symptoms. This task-independent resting functional magnetic resonance imaging study showed that medial OFC–striatum functional connectivity is reduced in SCZ and associated with severity of negative symptoms. This finding supports a significant association between frontostriatal connectivity and negative symptoms and thus may provide a potential circuitry-level biomarker to study the neurobiological mechanisms of negative symptoms.

scholarly journals Hyperconnectivity Between The Posterior Cingulate and Middle Frontal and Temporal Gyrus in Depression: Based On Functional Connectivity Meta-Analyses.

2021 ◽  
Author(s):  
Ziqing Zhu ◽  
You Wang ◽  
Way Lau ◽  
Xinhua Wei ◽  
Yingjun Liu ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Control ◽  
Emotional Regulation ◽  
Meta Analysis ◽  
Brain Regions ◽  
Structural Basis ◽  
Middle Temporal Gyrus ◽  
Resting State Functional Connectivity ◽  
Posterior Cingulate ◽  
The Right

Abstract BackgroundDisrupted whole-brain resting-state functional connectivity (RSFC) of the posterior cingulate (PCC) has been highlighted to associate with cognitive and affective dysfunction in major depressive disorder (MDD). However, prior findings showed certain inconsistency about the RSFC of the PCC in MDD. This study aims to investigate the aberrant RSFC of the PCC in MDD using anisotropic effect-size version of seed-based d mapping (AES-SDM). MethodsWeb of Science and PubMed were searched for studies investigating PCC-based RSFC in MDD. A total of 17 studies, involving 804 patients and 724 healthy controls (HCs), fit our selection criteria. Additionally, to seek for the link between functional and structural differences, we did a meta-analysis on the studies in conjunction with Voxel-based morphology (VBM) analysis. ResultsThe PCC showed higher RSFC with the left middle temporal gyrus (MTG) and the right middle frontal gyrus (MFG), and lower RSFC with the left superior frontal gyrus (SFG) and the left precuneus in patients with MDD than HCs. Notably, the left MTG and the left MFG were the overlapped regions of aberrant VBM and RSFC results.ConclusionsOur results indicated that the aberrant RSFC between the PCC and brain regions sub-serving cognitive control and emotional regulation in patients with MDD. And such functional alterations may have structural basis. These findings may underlie the mechanisms of deficits in cognitive control and emotional regulation of MDD.

scholarly journals Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study

2020 ◽  
Author(s):  
Ann-Marie G. de Lange ◽  
Melis Anatürk ◽  
Tobias Kaufmann ◽  
James H. Cole ◽  
Ludovica Griffanti ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
White Matter ◽  
Functional Connectivity ◽  
Prediction Accuracy ◽  
Brain Aging ◽  
Training Sample ◽  
Resting State Functional Connectivity ◽  
White Matter Microstructure ◽  
Brain Age ◽  
Age Prediction

AbstractBrain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific brain age in the Whitehall II MRI cohort using machine learning and imaging-derived measures of gray matter morphology, diffusion-based white matter microstructure, and resting state functional connectivity. Ten-fold cross validation yielded multimodal and modality-specific brain age estimates for each participant, and additional predictions based on a separate training sample was included for comparison. The results showed equivalent age prediction accuracy between the multimodal model and the gray and white matter models (R2 of 0.34, 0.31, and 0.31, respectively), while the functional connectivity model showed a lower prediction accuracy (R2 of 0.01). Cardiovascular risk factors, including high blood pressure, alcohol intake, and stroke risk score, were each associated with more apparent brain aging, with consistent associations across modalities.

Resting-state Functional Connectivity of the Right Temporoparietal Junction Relates to Belief Updating and Reorienting during Spatial Attention

2020 ◽  
Vol 32 (6) ◽  
pp. 1130-1141
Author(s):  
Anne-Sophie Käsbauer ◽  
Paola Mengotti ◽  
Gereon R. Fink ◽  
Simone Vossel
Keyword(s):  
Functional Connectivity ◽  
Cognitive Processing ◽  
Resting State ◽  
Prior Information ◽  
Dependent Manner ◽  
Resting State Functional Connectivity ◽  
Belief Updating ◽  
Temporoparietal Junction ◽  
Right Temporoparietal Junction ◽  
The Right

Although multiple studies characterized the resting-state functional connectivity (rsFC) of the right temporoparietal junction (rTPJ), little is known about the link between rTPJ rsFC and cognitive functions. Given a putative involvement of rTPJ in both reorienting of attention and the updating of probabilistic beliefs, this study characterized the relationship between rsFC of rTPJ with dorsal and ventral attention systems and these two cognitive processes. Twenty-three healthy young participants performed a modified location-cueing paradigm with true and false prior information about the percentage of cue validity to assess belief updating and attentional reorienting. Resting-state fMRI was recorded before and after the task. Seed-based correlation analysis was employed, and correlations of each behavioral parameter with rsFC before the task, as well as with changes in rsFC after the task, were assessed in an ROI-based approach. Weaker rsFC between rTPJ and right intraparietal sulcus before the task was associated with relatively faster updating of the belief that the cue will be valid after false prior information. Moreover, relatively faster belief updating, as well as faster reorienting, were related to an increase in the interhemispheric rsFC between rTPJ and left TPJ after the task. These findings are in line with task-based connectivity studies on related attentional functions and extend results from stroke patients demonstrating the importance of interhemispheric parietal interactions for behavioral performance. The present results not only highlight the essential role of parietal rsFC for attentional functions but also suggest that cognitive processing during a task changes connectivity patterns in a performance-dependent manner.

Altered Functional Connectivity Patterns of Parietal Subregions Contribute to Cognitive Dysfunction in Patients with White Matter Hyperintensities

2021 ◽  
pp. 1-11
Author(s):  
Qiang Wei ◽  
Shanshan Cao ◽  
Yang Ji ◽  
Jun Zhang ◽  
Chen Chen ◽  
...  
Keyword(s):  
White Matter ◽  
Functional Connectivity ◽  
White Matter Hyperintensities ◽  
Parietal Lobe ◽  
Small Vessel Disease ◽  
Anterior Cingulate ◽  
Healthy Controls ◽  
Cingulate Gyrus ◽  
Anterior Cingulate Gyrus ◽  
Resting State Functional Connectivity

Background: The white matter hyperintensities (WMHs) are considered as one of the core neuroimaging findings of cerebral small vessel disease and independently associated with cognitive deficit. The parietal lobe is a heterogeneous area containing many subregions and play an important role in the processes of neurocognition. Objective: To explore the relationship between parietal subregions alterations and cognitive impairments in WHMs. Methods: Resting-state functional connectivity (rs-FC) analyses of parietal subregions were performed in 104 right-handed WMHs patients divided into mild (n = 39), moderate (n = 37), and severe WMHs (n = 28) groups according to the Fazekas scale and 36 healthy controls. Parietal subregions were defined using tractographic Human Brainnetome Atlas and included five subregions for superior parietal lobe, six subregions for inferior parietal lobe (IPL), and three subregions for precuneus. All participants underwent a neuropsychological test battery to evaluate emotional and general cognitive functions. Results: Differences existed between the rs-FC strength of IPL_R_6_2 with the left anterior cingulate gyrus, IPL_R_6_3 with the right dorsolateral superior frontal gyrus, and the IPL_R_6_5 with the left anterior cingulate gyrus. The connectivity strength between IPL_R_6_3 and the left anterior cingulate gyrus were correlated with AVLT-immediate and AVLT-recognition test in WMHs. Conclusion: We explored the roles of parietal subregions in WMHs using rs-FC. The functional connectivity of parietal subregions with the cortex regions showed significant differences between the patients with WMHs and healthy controls which may be associated with cognitive deficits in WMHs.

scholarly journals Binge drinking is associated with altered resting state functional connectivity of reward-salience and top down control networks

2019 ◽  
Vol 14 (5) ◽  
pp. 1731-1746 ◽  
Author(s):  
Donatello Arienzo ◽  
Joseph P. Happer ◽  
Sean M. Molnar ◽  
Austin Alderson-Myers ◽  
Ksenija Marinkovic
Keyword(s):  
Functional Connectivity ◽  
Binge Drinking ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Top Down ◽  
Control Networks

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 Aberrant Brain Functional Connectivity Strength and Effective Connectivity in Patients with Type 2 Diabetes Mellitus

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xi Guo ◽  
Su Wang ◽  
Yu-Chen Chen ◽  
Heng-Le Wei ◽  
Gang-Ping Zhou ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Disease Duration ◽  
Effective Connectivity ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Functional Connectivity Strength ◽  
The Right ◽  
Brain Functional Connectivity ◽  
Connectivity Strength

Alterations of brain functional connectivity in patients with type 2 diabetes mellitus (T2DM) have been reported by resting-state functional magnetic resonance imaging studies, but the underlying precise neuropathological mechanism remains unclear. This study is aimed at investigating the implicit alterations of functional connections in T2DM by integrating functional connectivity strength (FCS) and Granger causality analysis (GCA) and further exploring their associations with clinical characteristics. Sixty T2DM patients and thirty-three sex-, age-, and education-matched healthy controls (HC) were recruited. Global FCS analysis of resting-state functional magnetic resonance imaging was performed to explore seed regions with significant differences between the two groups; then, GCA was applied to detect directional effective connectivity (EC) between the seeds and other brain regions. Correlations of EC with clinical variables were further explored in T2DM patients. Compared with HC, T2DM patients showed lower FCS in the bilateral fusiform gyrus, right superior frontal gyrus (SFG), and right postcentral gyrus, but higher FCS in the right supplementary motor area (SMA). Moreover, altered directional EC was found between the left fusiform gyrus and bilateral lingual gyrus and right medial frontal gyrus (MFG), as well as between the right SFG and bilateral frontal regions. In addition, triglyceride, insulin, and plasma glucose levels were correlated with the abnormal EC of the left fusiform, while disease duration and cognitive function were associated with the abnormal EC of the right SFG in T2DM patients. These results suggest that T2DM patients show aberrant brain function connectivity strength and effective connectivity which is associated with the diabetes-related metabolic characteristics, disease duration, and cognitive function, providing further insights into the complex neural basis of diabetes.

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