scholarly journals Working memory in preterm-born adults: Load-dependent compensatory activity of the posterior default mode network

2014 ◽  
Vol 36 (3) ◽  
pp. 1121-1137 ◽  
Author(s):  
Marcel Daamen ◽  
Josef G. Bäuml ◽  
Lukas Scheef ◽  
Christian Sorg ◽  
Barbara Busch ◽  
...  
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Default Mode ◽  
Preterm Born

Working Memory and Default Mode Network abnormalities in unaffected siblings of schizophrenia patients

2013 ◽  
Vol 150 (2-3) ◽  
pp. 555-562 ◽  
Author(s):  
Max de Leeuw ◽  
René S. Kahn ◽  
Bram B. Zandbelt ◽  
Christian G. Widschwendter ◽  
Matthijs Vink
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Default Mode

scholarly journals Coactivation of the Default Mode Network regions and Working Memory Network regions during task preparation

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Hideya Koshino ◽  
Takehiro Minamoto ◽  
Ken Yaoi ◽  
Mariko Osaka ◽  
Naoyuki Osaka
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Default Mode ◽  
Task Preparation ◽  
Memory Network

scholarly journals Neural markers of negative symptom outcomes in distributed working memory brain activity of antipsychotic-naive schizophrenia patients

2013 ◽  
Vol 16 (6) ◽  
pp. 1195-1204 ◽  
Author(s):  
Ayna B. Nejad ◽  
Kristoffer H. Madsen ◽  
Bjørn H. Ebdrup ◽  
Hartwig R. Siebner ◽  
Hans Rasmussen ◽  
...  
Keyword(s):  
Working Memory ◽  
Negative Symptom ◽  
Default Mode Network ◽  
Classification Accuracy ◽  
Negative Symptoms ◽  
Brain Activity ◽  
First Episode ◽  
Support Vector ◽  
Symptom Improvement ◽  
Default Mode

Abstract Since working memory deficits in schizophrenia have been linked to negative symptoms, we tested whether features of the one could predict the treatment outcome in the other. Specifically, we hypothesized that working memory-related functional connectivity at pre-treatment can predict improvement of negative symptoms in antipsychotic-treated patients. Fourteen antipsychotic-naive patients with first-episode schizophrenia were clinically assessed before and after 7 months of quetiapine monotherapy. At baseline, patients underwent functional magnetic resonance imaging while performing a verbal n-back task. Spatial independent component analysis identified task-modulated brain networks. A linear support vector machine was trained with these components to discriminate six patients who showed improvement in negative symptoms from eight non-improvers. Classification accuracy and significance was estimated by leave-one-out cross-validation and permutation tests, respectively. Two frontoparietal and one default mode network components predicted negative symptom improvement with a classification accuracy of 79% (p = 0.003). Discriminating features were found in the frontoparietal networks but not the default mode network. These preliminary data suggest that functional patterns at baseline can predict negative symptom treatment–response in schizophrenia. This information may be used to stratify patients into subgroups thereby facilitating personalized treatment.

P2-165: Daily carnosine and anserine supplementation alters default mode network connectivity and working memory in healthy adults

2015 ◽  
Vol 11 (7S_Part_12) ◽  
pp. P552-P553 ◽  
Author(s):  
Jaroslav Rokicki ◽  
Lucia Li ◽  
Hiroshi Matsuda ◽  
Etsuko Imabayashi ◽  
Tatsuhiro Hisatsune
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Healthy Adults ◽  
Default Mode

scholarly journals Resting-state fMRI: comparing default mode network connectivity between normal and low auditory working memory groups

2019 ◽  
Vol 1248 ◽  
pp. 012005 ◽  
Author(s):  
E A Othman ◽  
A N Yusoff ◽  
M Mohamad ◽  
H Abdul Manan ◽  
A I Abd Hamid ◽  
...  
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Resting State ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Default Mode

scholarly journals Angular default mode network connectivity across working memory load

2016 ◽  
Vol 38 (1) ◽  
pp. 41-52 ◽  
Author(s):  
D. Vatansever ◽  
A.E. Manktelow ◽  
B.J. Sahakian ◽  
D.K. Menon ◽  
E.A. Stamatakis
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Memory Load ◽  
Network Connectivity ◽  
Working Memory Load ◽  
Default Mode

Failure to deactivate in the prefrontal cortex in schizophrenia: dysfunction of the default mode network?

2008 ◽  
Vol 38 (8) ◽  
pp. 1185-1193 ◽  
Author(s):  
E. Pomarol-Clotet ◽  
R. Salvador ◽  
S. Sarró ◽  
J. Gomar ◽  
F. Vila ◽  
...  
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Default Mode Network ◽  
Sense Of Self ◽  
Memory Task ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Default Mode ◽  
Schizophrenic Patients ◽  
Back Task

BackgroundFunctional imaging studies using working memory tasks have documented both prefrontal cortex (PFC) hypo- and hyperactivation in schizophrenia. However, these studies have often failed to consider the potential role of task-related deactivation.MethodThirty-two patients with chronic schizophrenia and 32 age- and sex-matched normal controls underwent functional magnetic resonance imaging (fMRI) scanning while performing baseline, 1-back and 2-back versions of the n-back task. Linear models were used to obtain maps of activations and deactivations in the groups.ResultsThe controls showed activation in the expected frontal regions. There were also clusters of deactivation, particularly in the anterior cingulate/ventromedial PFC and the posterior cingulate cortex/precuneus. Compared to the controls, the schizophrenic patients showed reduced activation in the right dorsolateral prefrontal cortex (DLPFC) and other frontal areas. There was also an area in the anterior cingulate/ventromedial PFC where the patients showed apparently greater activation than the controls. This represented a failure of deactivation in the schizophrenic patients. Failure to activate was a function of the patients' impaired performance on the n-back task, whereas the failure to deactivate was less performance dependent.ConclusionsPatients with schizophrenia show both failure to activate and failure to deactivate during performance of a working memory task. The area of failure of deactivation is in the anterior prefrontal/anterior cingulate cortex and corresponds to one of the two midline components of the ‘default mode network’ implicated in functions related to maintaining one's sense of self.

F1-02-04: Connectivity within the default mode network is related to working memory performance in young but not elderly healthy adults

2012 ◽  
Vol 8 (4S_Part_2) ◽  
pp. P81-P81
Author(s):  
Igor Yakushev ◽  
Gaël Chetelat ◽  
Florian Fischer ◽  
Brigitte Landeau ◽  
Christine Bastin ◽  
...  
Keyword(s):  
Working Memory ◽  
Default Mode Network ◽  
Memory Performance ◽  
Healthy Adults ◽  
Default Mode

scholarly journals Is a Responsive Default Mode Network Required for Successful Working Memory Task Performance?

2015 ◽  
Vol 35 (33) ◽  
pp. 11595-11605 ◽  
Author(s):  
Marta Čeko ◽  
John L. Gracely ◽  
Mary-Ann Fitzcharles ◽  
David A. Seminowicz ◽  
Petra Schweinhardt ◽  
...  
Keyword(s):  
Working Memory ◽  
Task Performance ◽  
Default Mode Network ◽  
Memory Task ◽  
Default Mode

scholarly journals Biophysical mechanism of the interaction between default mode network and working memory network

2021 ◽  
Author(s):  
Yue Yuan ◽  
Xiaochuan Pan ◽  
Rubin Wang
Keyword(s):  
Working Memory ◽  
Neural Activity ◽  
Default Mode Network ◽  
Phase Synchronization ◽  
Memory Task ◽  
Inhibitory Neurons ◽  
Default Mode ◽  
Functional Connections ◽  
Functional Brain Network ◽  
Memory Network

AbstractDefault mode network (DMN) is a functional brain network with a unique neural activity pattern that shows high activity in resting states but low activity in task states. This unique pattern has been proved to relate with higher cognitions such as learning, memory and decision-making. But neural mechanisms of interactions between the default network and the task-related network are still poorly understood. In this paper, a theoretical model of coupling the DMN and working memory network (WMN) is proposed. The WMN and DMN both consist of excitatory and inhibitory neurons connected by AMPA, NMDA, GABA synapses, and are coupled with each other only by excitatory synapses. This model is implemented to demonstrate dynamical processes in a working memory task containing encoding, maintenance and retrieval phases. Simulated results have shown that: (1) AMPA channels could produce significant synchronous oscillations in population neurons, which is beneficial to change oscillation patterns in the WMN and DMN. (2) Different NMDA conductance between the networks could generate multiple neural activity modes in the whole network, which may be an important mechanism to switch states of the networks between three different phases of working memory. (3) The number of sequentially memorized stimuli was related to the energy consumption determined by the network's internal parameters, and the DMN contributed to a more stable working memory process. (4) Finally, this model demonstrated that, in three phases of working memory, different memory phases corresponded to different functional connections between the DMN and WMN. Coupling strengths that measured these functional connections differed in terms of phase synchronization. Phase synchronization characteristics of the contained energy were consistent with the observations of negative and positive correlations between the WMN and DMN reported in referenced fMRI experiments. The results suggested that the coupled interaction between the WMN and DMN played important roles in working memory.

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