2014
DOI: 10.1111/ejn.12808
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Selective processing of buildings and faces during working memory: the role of the ventral striatum

Abstract: The ventral striatum seems to play an important role during working memory (WM) tasks when irrelevant information needs to be filtered out. However, the concrete neural mechanisms underlying this process are still unknown. In this study, we investigated these mechanisms in detail. Eighteen healthy human participants were presented with multiple items consisting of faces or buildings. They either had to maintain two or four items from one category (low- and high-memory-load condition), or two from one category … Show more

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Cited by 14 publications
(17 citation statements)
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References 51 publications
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“…In Smith et al, 2011a , higher leisure time physical activity, according to the Stanford Brief Activity Survey (SBAS), was associated with an increased activation in the left caudate during a famous name discrimination fMRI task. The authors discussed the involvement of the caudate, not only as a reflection of motor function, but also in the augmentation and facilitation of cognitive processes (see also Crosson et al, 2007 ; Haeger et al, 2015 ) and its involvement in the progression of MCI ( Hakamata et al, 2010 ). This is in concordance with findings from Verstynen et al, 2012 , where higher cardiorespiratory fitness predicted better cognitive flexibility in older cognitively healthy adults, through greater gray matter volume in the dorsal striatum.…”
Section: Resultsmentioning
confidence: 99%
“…In Smith et al, 2011a , higher leisure time physical activity, according to the Stanford Brief Activity Survey (SBAS), was associated with an increased activation in the left caudate during a famous name discrimination fMRI task. The authors discussed the involvement of the caudate, not only as a reflection of motor function, but also in the augmentation and facilitation of cognitive processes (see also Crosson et al, 2007 ; Haeger et al, 2015 ) and its involvement in the progression of MCI ( Hakamata et al, 2010 ). This is in concordance with findings from Verstynen et al, 2012 , where higher cardiorespiratory fitness predicted better cognitive flexibility in older cognitively healthy adults, through greater gray matter volume in the dorsal striatum.…”
Section: Resultsmentioning
confidence: 99%
“…Accordingly, we found cognitive control ability to be directly correlated with signals in regions of the episodic-valuation-network including the hippocampus, the ACC and the ventral striatum when delayed options were combined with episodic events. The ACC as well as the ventral striatum are involved in the filtering and controlling of competing and goal-relevant information (Rushworth, 2008; Demanet et al, 2013; Haeger et al, 2015). Moreover, the ventral striatum has been implicated in the structuring of memory encoding and retrieval based on the expected utility of memories (reviewed by Scimeca and Badre, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Individual FFA activation was defined by contrasting all faces (positive and neutral) vs. non-face stimuli, using a liberal threshold of p < 0.001. The activated FFA cluster was then masked by a dilated-by-2-voxels anatomical mask of the fusiform gyrus from the toolbox wfu_pickatlas for SPM (version 3.0.4) to obtain FFA regions individually for each subject ( Maldjian et al, 2003 ; Haeger et al, 2015 ). Peak activations in this region were used as center for a sphere of 5 mm radius equivalent to 80 voxels in order to obtain masks equal in size for each individual subject.…”
Section: Methodsmentioning
confidence: 99%
“…In the context of working memory for faces, the FFA is strongly implicated, as its activation can be promoted by raising the working memory load ( Jha and McCarthy, 2000 ; Druzgal and D’Esposito, 2001 , 2003 ; Ranganath et al, 2004a , b ; Haeger et al, 2015 ). Combined data pointed to the fact that increased activation goes along with better working memory performance ( Lepsien and Nobre, 2007 ), which obviously is sustained both by the FFA and its interaction with other modules of the face processing network ( Lin et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%