Co-Activation-Based Parcellation of the Lateral Prefrontal Cortex Delineates the Inferior Frontal Junction Area

Muhle-Karbe, Paul S.; Derrfuß, Jan; Lynn, Margaret T.; Neubert, Franz X.; Fox, Peter T.; Braß, Marcel; Eickhoff, Simon B.

doi:10.1093/cercor/bhv073

Cited by 53 publications

(61 citation statements)

References 127 publications

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“…One proposed role of this region has been in coordinating the selection of the correct orthographic lexical representation among competing representations (Rapp & Lipka, 2011). This is in line with previous work associating it with cognitive control (Brass et al, 2005), and more recently it has been specifically associated with top-down control of linguistic functions (Muhle-Karbe et al, 2015). …”

Section: Discussionsupporting

confidence: 92%

Recovery of orthographic processing after stroke: A longitudinal fMRI study

Purcell

Sebastian

Leigh

et al. 2017

Cortex

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An intact orthographic processing system is critical for normal reading and spelling. Here we investigate the neural changes associated with impairment and subsequent recovery of the orthographic lexical processing system in an individual with an ischemic left posterior cerebral artery (PCA) stroke. This work describes a longitudinal case study of a patient, known as MMY, with impairments in orthographic lexical processing for reading and spelling at stroke onset, and who recovered these skills within 1 year post stroke. We tested the hypothesis that this acute impairment to reading and spelling would be associated with a selective loss of neural activation in the left fusiform gyrus, and that subsequent recovery would be associated with a gain of neural activation in this region. MMY’s case provided a unique opportunity to assess the selectivity of neural changes because she demonstrated a behavioral recovery of naming as well; i.e. if there is neural recovery for reading and spelling, but not naming, then these neural changes are selective to the recovery of orthographic processing. To test our hypothesis, we examined longitudinal behavioral and fMRI data of reading, spelling, and visual object naming acquired acutely, 3 weeks, 5 months, and one year post stroke. In confirmation of our hypothesis, the loss and subsequent gain of orthographic lexical processing was associated with up-regulation of neural activation in areas previously associated with orthographic lexical processing: i.e., the left mid-fusiform gyrus and inferior frontal junction. Furthermore, these neural changes were found to be selective to orthographic processing, as they were observed for reading and spelling, but not for visual object naming within the left mid-fusiform gyrus. This work shows that left PCA stroke can temporarily and selectively disrupt the orthographic lexical processing system, not only in the posterior region adjacent to the stroke, but also in relatively distant frontal orthographic processing regions.

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Section: Discussionsupporting

confidence: 92%

Recovery of orthographic processing after stroke: A longitudinal fMRI study

Purcell

Sebastian

Leigh

et al. 2017

Cortex

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“…The brain region that showed the strongest correlations between modal controllability and creativity measures was a region in the right dorsolateral prefrontal cortex—the right Inferior Frontal Junction (IFJ). Located at the junction of the inferior frontal sulcus and the precentral sulcus (Muhle-Karbe et al, 2016), the left IFJ has been shown to play a general role in creative tasks (Gonen-Yaacovi et al, 2013) and has been specifically attributed to cognitive flexibility and task switching (Harding, Yücel, Harrison, Pantelis, & Breakspear, 2015; Yin, Wang, Pan, Liu, & Chen, 2016). Recently, Sebastian et al (2016) showed that the right IFJ was associated with the detection of salient stimuli and co-activated with both the ventral and dorsal attention networks (Corbetta et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Driving the brain towards creativity and intelligence: A network control theory analysis

et al. 2018

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High-level cognitive constructs, such as creativity and intelligence, entail complex and multiple processes, including cognitive control processes. Recent neurocognitive research on these constructs highlight the importance of dynamic interaction across neural network systems and the role of cognitive control processes in guiding such a dynamic interaction. How can we quantitatively examine the extent and ways in which cognitive control contributes to creativity anf intelligence? To address this question, we apply a computational network control theory (NCT) approach to structural brain imaging data acquired via diffusion tensor imaging in a large sample of participants, to examine how NCT relates to individual differences in distinct measures of creative ability and intelligence. Recent application of this theory at the neural level is built on a model of brain dynamics, which mathematically models patterns of inter-region activity propagated along the structure of an underlying network. The strength of this approach is its ability to characterize the potential role of each brain region in regulating whole-brain network function based on its anatomical fingerprint and a simplified model of node dynamics. We find that intelligence is related to the ability to “drive” the brain system into easy to reach neural states by the right inferior parietal lobe and lower integration abilities in the left retrosplenial cortex. We also find that creativity is related to the ability to “drive” the brain system into difficult to reach states by the right dorsolateral prefrontal cortex (inferior frontal junction) and higher integration abilities in sensorimotor areas. Furthermore, we found that different facets of creativity—fluency, flexibility, and originality—relate to generally similar but not identical network controllability processes. We relate our findings to general theories on intelligence and creativity.

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“…Some researchers have focused on ascribing a particular process to an area or areas or interest (e.g., Aron et al, 2014; Banich, 2009; Botvinick, Cohen, & Carter, 2004; Muhle-Karbe et al, 2015; Stuss & Alexander, 2007). Others have taken a broader view, positing a rostral-caudal organization or hierarchy according to complexity or abstraction, a dorsal/ventral distinction by type of information, and a medial/lateral distinction related to emotional and motivational content (Badre & D’Esposito, 2009; Christoff & Gabrieli, 2000; Courtney, 2004; Fuster, 2001; Koechlin & Summerfield, 2007; Nee et al, 2013; O’Reilly, 2010; Petrides, 2005; Smith & Jonides, 1999).…”

Section: Neural Substratesmentioning

confidence: 99%

Unity and diversity of executive functions: Individual differences as a window on cognitive structure

Friedman

Miyake

2017

Cortex

1,293

1,257

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Executive functions (EFs) are high-level cognitive processes, often associated with the frontal lobes, that control lower level processes in the service of goal-directed behavior. They include abilities such as response inhibition, interference control, working memory updating, and set shifting. EFs show a general pattern of shared but distinct functions, a pattern described as “unity and diversity.” We review studies of EF unity and diversity at the behavioral and genetic levels, focusing on studies of normal individual differences and what they reveal about the functional organization of these cognitive abilities. In particular, we review evidence that across multiple ages and populations, commonly studied EFs (a) are robustly correlated but separable when measured with latent variables; (b) are not the same as general intelligence or g; (c) are highly heritable at the latent level and seemingly also highly polygenic; and (d) activate both common and specific neural areas and can be linked to individual differences in neural activation, volume, and connectivity. We highlight how considering individual differences at the behavioral and neural levels can add considerable insight to the investigation of the functional organization of the brain, and conclude with some key points about individual differences to consider when interpreting neuropsychological patterns of dissociation.

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Co-Activation-Based Parcellation of the Lateral Prefrontal Cortex Delineates the Inferior Frontal Junction Area

Cited by 53 publications

References 127 publications

Recovery of orthographic processing after stroke: A longitudinal fMRI study

Recovery of orthographic processing after stroke: A longitudinal fMRI study

Driving the brain towards creativity and intelligence: A network control theory analysis

Unity and diversity of executive functions: Individual differences as a window on cognitive structure

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