Re-evaluating the role of TPJ in attentional control: Contextual updating?
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TLDR
TPJ function in many domains is well described by contextual updating by using data from cognitive neuroscience to critically evaluate the function of the temporo-parietal junction.About:
This article is published in Neuroscience & Biobehavioral Reviews.The article was published on 2013-12-01 and is currently open access. It has received 308 citations till now. The article focuses on the topics: Attentional control & Functional neuroimaging.read more
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Success versus failure in cognitive control: meta-analytic evidence from neuroimaging studies on error processing
TL;DR: In this article , activation likelihood estimation meta-analyses were used to synthesize the neuroimaging literature on brain activity related to committing errors versus responding successfully in interference tasks and to test for commonalities and differences.
Journal ArticleDOI
Building models, testing models: Asymmetric roles of SLF III networks?: Comment on "Left and right temporal-parietal junctions (TPJs) as "match/mismatch" hedonic machines: A unifying account of TPJ function" by Doricchi et al.
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Altered metabolic connectivity between the amygdala and default mode network is related to pain perception in patients with cancer
TL;DR: In this article , the authors investigated the neural correlates for chronic cancer pain conditions by retrospectively analyzing whole brain regions on 18F-fluoro-2-deoxyglucose-positron emission tomography images acquired from 80 patients with head and neck squamous cell carcinoma and esophageal cancer.
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A neural mechanism underlying predictive visual motion processing in patients with schizophrenia
TL;DR: In this article , the authors performed fMRI during a VM paradigm with three conditions of varying predictability, i.e., Predictable-, Random-, and Arbitrary motion, and calculated general linear model (GLM) analysis to assess group differences in VM processing across motion conditions.
Book ChapterDOI
Neural Mechanisms of Global Reading
TL;DR: The neural mechanisms underlying global reading on tabular representations were investigated using the task-switching paradigm in event-related functional magnetic resonance imaging and revealed differential activations between local and global tasks in both preparation and execution stages.
References
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Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
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Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
Nathalie Tzourio-Mazoyer,B. Landeau,D. Papathanassiou,Fabrice Crivello,Octave Etard,Nicolas Delcroix,Bernard Mazoyer,Marc Joliot +7 more
TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
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Control of goal-directed and stimulus-driven attention in the brain
TL;DR: Evidence for partially segregated networks of brain areas that carry out different attentional functions is reviewed, finding that one system is involved in preparing and applying goal-directed selection for stimuli and responses, and the other is specialized for the detection of behaviourally relevant stimuli.
Journal ArticleDOI
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Michael D. Fox,Abraham Z. Snyder,Justin L. Vincent,Maurizio Corbetta,David C. Van Essen,Marcus E. Raichle +5 more
TL;DR: It is suggested that both task-driven neuronal responses and behavior are reflections of this dynamic, ongoing, functional organization of the brain, featuring the presence of anticorrelated networks in the absence of overt task performance.
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The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
TL;DR: The data allow us to reject alternative accounts of the function of the fusiform face area (area “FF”) that appeal to visual attention, subordinate-level classification, or general processing of any animate or human forms, demonstrating that this region is selectively involved in the perception of faces.