Complex span tasks and hippocampal recruitment during working memory

Faraco, Carlos; Unsworth, Nash; Langley, Jason; Terry, Douglas B.; Li, Kaiming; Zhang, Degang; Liu, Tianming; Miller, L. Stephen

doi:10.1016/j.neuroimage.2010.12.033

Cited by 85 publications

(102 citation statements)

References 114 publications

(143 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Single-trial analyses further demonstrated the validity of the current task as a test of cognitive control network function, as reaction times were strongly predicted by trial-to-trial fluctuations in theta power (Cohen and Cavanagh, 2011b). However, although previous reports of WMC-related differences in connectivity between DLPFC and other parts of the frontal cognitive control network (Cole et al, 2012;Faraco et al, 2011) might lead one to expect a relation between WMC and frontal midline theta, we did not find such differences. To our knowledge, the only other study to use EEG to examine WMC-related differences in conflict processing found group differences only in post-error brain activity (Miller et al, 2012).…”

Section: Discussionsupporting

confidence: 60%

Dissociable mechanisms underlying individual differences in visual working memory capacity

et al. 2014

View full text Add to dashboard Cite

Highlights (3-5; maximum 85 characters, including spaces, per bullet point):• High working memory capacity (WMC) is associated with better attention control.• Mechanisms behind WMC-related differences in attentional control are not clear.• We used frequency-tagging to track attention allocation to relevant and irrelevant information.• Suppression of distractors is a key underlying mechanism for efficient attention control. We found no evidence for WMC-related differences in cognitive control network functioning, as measured by midfrontal theta-band power. Taken together, these findings suggest that early suppression of irrelevant information is a key underlying neural mechanism by which superior attention control abilities are implemented.3

show abstract

Section: Discussionsupporting

confidence: 60%

Dissociable mechanisms underlying individual differences in visual working memory capacity

et al. 2014

View full text Add to dashboard Cite

show abstract

“…The hippocampus was also activated in the present study although the NOV (Table 3, Figure 2 and Figure 3) is small, and the involvement of the hippocampus in attention is implicated in an earlier study (Faraco et al, 2011;Toepper et al, 2010). We suggest that activation of the hippocampus in the present study is not due to the WM mechanism but rather to the role of the hippocampus as an attention controller in compensating for the effects of noise.…”

Section: Comparing Wmq and Wmnsupporting

confidence: 49%

Hippocampal-cerebellar involvement in enhancement of performance in word-based BRT with the presence of background noise: An initial fMRI study.

Manan¹,

Franz²,

Yusoff³

et al. 2012

Psychology & Neuroscience

View full text Add to dashboard Cite

Background noise may impose deleterious effects on cognitive processing. However, noise below the threshold level may increase the ability to detect stimuli via stochastic resonance mechanisms (SR). The present study investigates whether task performance is deteriorated or enhanced by 5-dB SNR and, if the task performance is enhanced, whether this facilitation in performance points to a particular neural area that serves to attenuate noise and/or increase effective task performance. The areas of interest are the cerebellum and hippocampus due to their roles in working memory (WM) and their links with attention. Fifteen healthy young Malay adults performed three tasks during fMRI scanning: listening to babble noise (N), WM task in quiet (WMQ), and WM task in noise (WMN). Activated regions during N are bilateral STG and MTG. Both WM tasks produced similar activation in a network of areas in the frontal, temporal and parietal lobes. However, the two tasks demonstrated marked differences in the left hippocampus, right posterior cerebellum, and bilateral anterior cerebellum. Moreover, the results obtained from the behavioral task demonstrated that participants responded better in the presence of noise. These results support the hypothesis that the left hippocampus, right posterior cerebellum, and bilateral anterior cerebellum may be involved in attenuating noise and/or increasing attention to task performance, which could be due to SR mechanisms operating in the presence of noise. These results collectively suggest leftward asymmetries during the tasks with the right posterior cerebellum, bilateral anterior cerebellum, and left hippocampus providing compensatory attention processes, at least in the context of this study.

show abstract

“…Lesion studies on humans also showed that patients with medial temporal lobe damages had WM impairment (Ezzyat and Olson, 2008;Olson et al, 2006a,b). Functional MRI studies confirmed that the hippocampus was recruited for WM processing (Davachi and Wagner, 2002;Faraco et al, 2010;Karlsgodt et al, 2005;Toepper et al, 2010), and that hippocampal activation was significantly correlated with WM performance (Berent-Spillson et al, 2010;McGettigan et al, 2011) and/or WM response time (Bokde et al, 2010). Finally, a neural network study reported that the hippocampus was included in a network underlying the maintenance of WM (Gazzaley et al, 2004), suggesting a functional contribution of the hippocampus to WM.…”

Section: Introductionmentioning

confidence: 79%

The NTSR1 gene modulates the association between hippocampal structure and working memory performance

Jin¹,

Lei²,

Wang³

et al. 2013

NeuroImage

View full text Add to dashboard Cite

The genetic and neural basis of working memory (WM) has been extensively studied. Many dopamine (DA) related genes, including the NTSR1 gene (a DA modulator gene), have been reported to be associated with WM performance. The NTSR1 protein is predominantly expressed in the cerebral cortex and the hippocampus, the latter of which is closely involved in WM processing based on both lesion and fMRI studies. Thus far, however, no study has examined the joint effects of NTSR1 gene polymorphism and hippocampal morphology on WM performance. Participants of the current study were 330 healthy Chinese college students. WM performance was measured with a 2-back WM paradigm. Structural MRI data were acquired and then analyzed using an automated procedure with atlas-based FreeSurfer segmentation software (v 4.5.0) package. Linear regression analyses were conducted with a NTSR1 C/T polymorphism which was previously reported to be associated with WM (rs4334545), hippocampal volume, and their interaction as predictors of WM performance, with gender and intracranial volume (ICV) as covariates. Results showed a significant interaction between NTSR1 genotype and hippocampal volume (p b .05 for both the left and right hippocampi). Further analysis showed that the correlation between hippocampal volume and WM scores was significant for carriers of the NTSR1 T-allele (p b .05 for both hippocampi), but not for CC homozygotes. These results indicate that the association between hippocampal structure and WM performance was modulated by variation in the NTSR1 gene, and suggest that further studies of brain-behavior associations should take genetic background information into account.

show abstract

Complex span tasks and hippocampal recruitment during working memory

Cited by 85 publications

References 114 publications

Dissociable mechanisms underlying individual differences in visual working memory capacity

Dissociable mechanisms underlying individual differences in visual working memory capacity

Hippocampal-cerebellar involvement in enhancement of performance in word-based BRT with the presence of background noise: An initial fMRI study.

The NTSR1 gene modulates the association between hippocampal structure and working memory performance

Contact Info

Product

Resources

About