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Todd S. Braver
Washington University in St. Louis
PsychologyCognitionCognitive psychologyWorking memoryPrefrontal cortex
214Publications
76H-index
31.7kCitations
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Publications 216
Newest
#2Bidhan Lamicchane (WashU: Washington University in St. Louis)
Last. Samuel Klein (WashU: Washington University in St. Louis)H-Index: 87
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#1Rongxiang Tang (WashU: Washington University in St. Louis)
#2Patricia C. Broderick (PSU: Pennsylvania State University)H-Index: 8
Last. Todd S. Braver (WashU: Washington University in St. Louis)H-Index: 76
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Mindfulness training (MT) has shown promise in improving psychological health among college students yet has rarely been evaluated as an addition to the college academic curriculum. Here, we demons...
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#1Bidhan Lamichhane (WashU: Washington University in St. Louis)H-Index: 7
#2Elisa Di Rosa (WashU: Washington University in St. Louis)H-Index: 6
Last. Todd S. Braver (WashU: Washington University in St. Louis)H-Index: 76
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Abstract Delay of gratification (DofG) refers to the capacity to forego an immediate reward in order to receive a more desirable reward later. As a core executive function, it might be expected that DofG would follow the standard pattern of age-related decline observed in older adults for other executive tasks. However, there actually have been few studies of aging and DofG, and even these have shown mixed results, suggesting the need for further investigation and new approaches. The present stu...
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#1Matthew F. Singh (WashU: Washington University in St. Louis)H-Index: 1
#2Anxu Wang (WashU: Washington University in St. Louis)
Last. ShiNung Ching (WashU: Washington University in St. Louis)H-Index: 17
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For many biophysical systems, direct measurement of all state-variables, in-vivo is not-feasible. Thus, a key challenge in biological modeling and signal processing is to reconstruct the activity and structure of interesting biological systems from indirect measurements. These measurements are often generated by approximately linear time-invariant (LTI) dynamical interactions with the hidden system and may therefore be described as a convolution of hidden state-variables with an unknown kernel. ...
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#1Bidhan LamichhaneH-Index: 7
#2Andrew WestbrookH-Index: 8
Last. Todd S. BraverH-Index: 76
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Abstract Working memory (WM) function has traditionally been investigated in terms of two dimensions: within-individual effects of WM load, and between-individual differences in task performance. In human neuroimaging studies, the N-back task has frequently been used to study both. A reliable finding is that activation in frontoparietal regions exhibits an inverted-U pattern, such that activity tends to decrease at high load levels. Yet it is not known whether such U-shaped patterns are a key in...
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#1Adam J. CulbrethH-Index: 10
#2Andrew WestbrookH-Index: 8
Last. Deanna MH-Index: 77
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#1Elisa Di Rosa (UNIPD: University of Padua)H-Index: 6
#2Sabrina Brigadoi (UNIPD: University of Padua)H-Index: 10
Last. Antonino Vallesi (UNIPD: University of Padua)H-Index: 26
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Abstract Several studies have evaluated the effect of anodal transcranial direct current stimulation (tDCS) over the prefrontal cortex (PFC) for the enhancement of working memory (WM) performance in healthy older adults. However, the mixed results obtained so far suggest the need for concurrent brain imaging, in order to more directly examine tDCS effects. The present study adopted a continuous multimodal approach utilizing functional near-infrared spectroscopy (fNIRS) to examine the interactive...
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#1Matthew F. Singh (WashU: Washington University in St. Louis)H-Index: 1
#2Todd S. Braver (WashU: Washington University in St. Louis)H-Index: 76
Last. ShiNung Ching (WashU: Washington University in St. Louis)H-Index: 17
view all 4 authors...
A key challenge for neuroscience is to develop generative, causal models of the human nervous system in an individualized, data-driven manner. Previous initiatives have either constructed biologically-plausible models that are not constrained by individual-level human brain activity or used data-driven statistical characterizations of individuals that are not mechanistic. We aim to bridge this gap through the development of a new modeling approach termed Mesoscale Individualized Neurodynamic (MI...
1 CitationsSource
#1Joset A. Etzel (WashU: Washington University in St. Louis)H-Index: 12
#2Todd S. Braver (WashU: Washington University in St. Louis)H-Index: 76
Pattern similarity analyses are increasingly used to characterize coding properties of brain regions, but relatively few have focused on cognitive control processes in FrontoParietal regions. Here, we use the Human Connectome Project (HCP) N-back task fMRI dataset to examine individual differences and genetic influences on the coding of working memory load (0-back, 2-back) and perceptual category (Face, Place). Participants were grouped into 105 MZ (monozygotic) twin, 78 DZ (dizygotic) twin, 99 ...
1 CitationsSource
#1Andrew Westbrook (Brown University)H-Index: 8
#2Bidhan Lamichhane (WashU: Washington University in St. Louis)H-Index: 7
Last. Todd S. Braver (WashU: Washington University in St. Louis)H-Index: 76
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Cognitive control is necessary for goal-directed behavior, yet people treat cognitive control demand as a cost, which discounts the value of rewards in a similar manner as other costs, such as delay or risk. It is unclear, however, whether the subjective value (SV) of cognitive effort is encoded in the same putatively domain-general brain valuation network implicated in other cost domains, or instead engages a distinct frontoparietal network, as implied by recent studies. Here, we provide rigoro...
1 CitationsSource
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