scholarly journals Variant-specific vulnerability in metabolic connectivity and resting-state networks in behavioural variant of frontotemporal dementia

Cortex ◽  
2019 ◽  
Vol 120 ◽  
pp. 483-497
Author(s):  
Maura Malpetti ◽  
Giulia Carli ◽  
Arianna Sala ◽  
Chiara Cerami ◽  
Alessandra Marcone ◽  
...  
Keyword(s):  
Frontotemporal Dementia ◽  
Resting State ◽  
Resting State Networks ◽  
Metabolic Connectivity ◽  
Specific Vulnerability

scholarly journals GroupICA dual regression analysis of resting state networks in a behavioral variant of frontotemporal dementia

2013 ◽  
Vol 7 ◽  
Author(s):  
Riikka Rytty ◽  
Juha Nikkinen ◽  
Liisa Paavola ◽  
Ahmed Abou Elseoud ◽  
Virpi Moilanen ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Frontotemporal Dementia ◽  
Resting State ◽  
Resting State Networks ◽  
Dual Regression

2092-P: Impact of Insulin Resistance on Response to a Meal by Salience, Executive Control, and Default Mode Resting State Networks in Humans

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2092-P
Author(s):  
LETICIA ESPOSITO SEWAYBRICKER ◽  
SUSAN J. MELHORN ◽  
MARY K. ASKREN ◽  
MARY WEBB ◽  
VIDHI TYAGI ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Executive Control ◽  
Resting State ◽  
Resting State Networks ◽  
Default Mode

scholarly journals Intra and inter: Alterations in functional brain resting‐state networks after peripheral nerve injury

2020 ◽  
Vol 10 (9) ◽  
Author(s):  
Xiang‐Xin Xing ◽  
Xu‐Yun Hua ◽  
Mou‐Xiong Zheng ◽  
Zhen‐Zhen Ma ◽  
Bei‐Bei Huo ◽  
...  
Keyword(s):  
Peripheral Nerve ◽  
Nerve Injury ◽  
Resting State ◽  
Peripheral Nerve Injury ◽  
Resting State Networks ◽  
Functional Brain

scholarly journals Abnormal directed connectivity of resting state networks in focal epilepsy

2020 ◽  
Vol 27 ◽  
pp. 102336
Author(s):  
Margherita Carboni ◽  
Pia De Stefano ◽  
Bernd J. Vorderwülbecke ◽  
Sebastien Tourbier ◽  
Emeline Mullier ◽  
...  
Keyword(s):  
Resting State ◽  
Focal Epilepsy ◽  
Resting State Networks

scholarly journals Resting-State Functional Connectivity and Cognitive Impairment in Children with Perinatal Stroke

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Nigul Ilves ◽  
Pilvi Ilves ◽  
Rael Laugesaar ◽  
Julius Juurmaa ◽  
Mairi Männamaa ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Functions ◽  
Resting State ◽  
Outcome Measurement ◽  
Pediatric Stroke ◽  
Resting State Networks ◽  
Neurocognitive Deficits ◽  
Resting State Functional Connectivity ◽  
Perinatal Stroke ◽  
Brain Functions

Perinatal stroke is a leading cause of congenital hemiparesis and neurocognitive deficits in children. Dysfunctions in the large-scale resting-state functional networks may underlie cognitive and behavioral disability in these children. We studied resting-state functional connectivity in patients with perinatal stroke collected from the Estonian Pediatric Stroke Database. Neurodevelopment of children was assessed by the Pediatric Stroke Outcome Measurement and the Kaufman Assessment Battery. The study included 36 children (age range 7.6–17.9 years): 10 with periventricular venous infarction (PVI), 7 with arterial ischemic stroke (AIS), and 19 controls. There were no differences in severity of hemiparesis between the PVI and AIS groups. A significant increase in default mode network connectivity (FDR 0.1) and lower cognitive functions (p<0.05) were found in children with AIS compared to the controls and the PVI group. The children with PVI had no significant differences in the resting-state networks compared to the controls and their cognitive functions were normal. Our findings demonstrate impairment in cognitive functions and neural network profile in hemiparetic children with AIS compared to children with PVI and controls. Changes in the resting-state networks found in children with AIS could possibly serve as the underlying derangements of cognitive brain functions in these children.

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