Abnormal White-Matter Functional Connectivity of Generalized Tonic-Clonic Seizures in Resting and Motor-Task States

The present study examined functional connectivity (FC) between functional MRI (fMRI) signals of the primary motor cortex (M1) and each of the three subcortical neural structures, cerebellum (CB), basal ganglia (BG), and thalamus (TL), during muscle fatigue using the quantile regression technique. Understanding activation relation between the subcortical structures and the M1 during prolonged motor performance should help delineate how central motor control network modulates acute perturbations at peripheral sensorimotor system such as muscle fatigue. Ten healthy subjects participated in the study and completed a 20-minute intermittent handgrip motor task at 50% of their maximal voluntary contraction (MVC) level. Quantile regression analyses were carried out to compare the FC between the contralateral (left) M1 and CB, BG, and TL in the minimal (beginning 100 s) versus significant (ending 100 s) fatigue stages. Widespread, statistically significant increases in FC were found in bilateral BG, CB, and TL with the left M1 during significant versus minimal fatigue stages. Our results imply that these subcortical nuclei are critical components in the motor control network and actively involved in modulating voluntary muscle fatigue, possibly, by working together with the M1 to strengthen the descending central command to prolong the motor performance.

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Altered Functional Connectivity of Cerebellar Motor Subregion in Generalized Tonic-Clonic Seizures

International Journal of Psychophysiology ◽

10.1016/j.ijpsycho.2021.07.602 ◽

2021 ◽

Vol 168 ◽

pp. S224

Author(s):

Junxia Chen ◽

Linli Liu ◽

SiSi Jiang ◽

Dezhong Yao ◽

Cheng Luo

Keyword(s):

Functional Connectivity ◽

Clonic Seizures

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Fornix White Matter is Correlated with Resting-State Functional Connectivity of the Thalamus and Hippocampus in Healthy Aging but Not in Mild Cognitive Impairment â€“ A Preliminary Study

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2015.00010 ◽

2015 ◽

Vol 7 ◽

Cited By ~ 11

Author(s):

Elizabeth G. Kehoe ◽

Dervla Farrell ◽

Claudia Metzler-Baddeley ◽

Brian A. Lawlor ◽

Rose Anne Kenny ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

White Matter ◽

Functional Connectivity ◽

Resting State ◽

Healthy Aging ◽

Resting State Functional Connectivity ◽

Preliminary Study

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

Journal of Alzheimer s Disease ◽

10.3233/jad-210315 ◽

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.

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Organization of cortico-cortical pathways supporting memory retrieval across subregions of the left ventrolateral prefrontal cortex

Journal of Neurophysiology ◽

10.1152/jn.00157.2016 ◽

2016 ◽

Vol 116 (3) ◽

pp. 920-937 ◽

Cited By ~ 12

Author(s):

Jennifer Barredo ◽

Timothy D. Verstynen ◽

David Badre

Keyword(s):

Prefrontal Cortex ◽

White Matter ◽

Functional Connectivity ◽

Memory Retrieval ◽

Temporal Cortex ◽

Functional Network ◽

High Angular Resolution ◽

Connectivity Analysis ◽

Ventrolateral Prefrontal Cortex ◽

Functional Connectivity Analysis

Functional magnetic resonance imaging (fMRI) evidence indicates that different subregions of ventrolateral prefrontal cortex (VLPFC) participate in distinct cortical networks. These networks have been shown to support separable cognitive functions: anterior VLPFC [inferior frontal gyrus (IFG) pars orbitalis] functionally correlates with a ventral fronto-temporal network associated with top-down influences on memory retrieval, while mid-VLPFC (IFG pars triangularis) functionally correlates with a dorsal fronto-parietal network associated with postretrieval control processes. However, it is not known to what extent subregional differences in network affiliation and function are driven by differences in the organization of underlying white matter pathways. We used high-angular-resolution diffusion spectrum imaging and functional connectivity analysis in unanesthetized humans to address whether the organization of white matter connectivity differs between subregions of VLPFC. Our results demonstrate a ventral-dorsal division within IFG. Ventral IFG as a whole connects broadly to lateral temporal cortex. Although several different individual white matter tracts form connections between ventral IFG and lateral temporal cortex, functional connectivity analysis of fMRI data indicates that these are part of the same ventral functional network. By contrast, across subdivisions, dorsal IFG was connected with the midfrontal gyrus and correlated as a separate dorsal functional network. These qualitative differences in white matter organization within larger macroanatomical subregions of VLPFC support prior functional distinctions among these regions observed in task-based and functional connectivity fMRI studies. These results are consistent with the proposal that anatomical connectivity is a crucial determinant of systems-level functional organization of frontal cortex and the brain in general.

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Declined functional connectivity of white matter during rest and working memory tasks associates with cognitive impairments in schizophrenia

10.1101/2020.05.16.20091397 ◽

2020 ◽

Cited By ~ 1

Author(s):

Yurui Gao ◽

Muwei Li ◽

Anna S Huang ◽

Adam W Anderson ◽

Zhaohua Ding ◽

...

Keyword(s):

Working Memory ◽

White Matter ◽

Functional Connectivity ◽

Resting State ◽

Spatial Working Memory ◽

Cognitive Impairments ◽

Memory Task ◽

Brain Network ◽

Blood Oxygenation ◽

Cerebral Peduncle

BACKGROUND: Schizophrenia, characterized by cognitive impairments, arises from a disturbance of brain network. Pathological changes in white matter (WM) have been indicated as playing a role in disturbing neural connectivity in schizophrenia. However, deficits of functional connectivity (FC) in individual WM bundles in schizophrenia have never been explored; neither have cognitive correlates with those deficits. METHODS: Resting-state and spatial working memory task fMRI images were acquired on 67 healthy subjects and 84 patients with schizophrenia. The correlations in blood-oxygenation-level-dependent (BOLD) signals between 46 WM and 82 gray matter regions were quantified, analyzed and compared between groups under three scenarios (i.e., resting state, retention period and entire time of a spatial working memory task). Associations of FC in WM with cognitive assessment scores were evaluated for three scenarios. RESULTS: FC deficits were significant (p<.05) in external capsule, cingulum, uncinate fasciculus, genu and body of corpus callosum under all three scenarios. Deficits were also present in the anterior limb of the internal capsule and cerebral peduncle in task scenario. Decreased FCs in specific WM bundles associated significantly (p<.05) with cognitive impairments in working memory, processing speed and/or cognitive control. CONCLUSIONS: Decreases in FC are evident in several WM bundles in patients with schizophrenia and are significantly associated with cognitive impairments during both rest and working memory tasks. Furthermore, working memory tasks expose FC deficits in more WM bundles and more cognitive associates in schizophrenia than resting state does.

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