The role of inferior frontal junction in controlling the spatially global effect of feature-based attention in human visual areas

Zhang, Xilin; Mlynaryk, Nicole; Ahmed, Sara Atito Ali; Japee, Shruti; Ungerleider, Leslie G.

doi:10.1371/journal.pbio.2005399

Cited by 33 publications

(51 citation statements)

References 88 publications

(157 reference statements)

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“…This region has also been described as a hub for visual attention in a study that examined activity in the right posterior middle frontal gyrus in association with a rule-based increase in attention to a particular stimulus (Sebastian et al, 2016). Zhang and colleagues searched for the source of the attentional bias observed throughout the visual processing cortical areas (Zhang et al, 2018). Using dynamic causal modeling of effective connectivity, they were able to conclude that the key hub for the source of the bias lies in the ventral posterior middle frontal gyrus, consistent with the present observation of activity related to the conditional selection of visual stimuli in the ventral posterior middle frontal gyrus.…”

Section: Discussionmentioning

confidence: 99%

Area 8A within the Posterior Middle Frontal Gyrus Underlies Cognitive Selection between Competing Visual Targets

Germann

Petrides

2020

eNeuro

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There are several distinct areas in the granular part of the lateral frontal cortex, and these areas provide highlevel regulation of cognitive processing. Lesions of the dorsolateral frontal cortex that include area 8A in the human brain and lesions restricted to area 8A in the macaque monkey have demonstrated impairments in tasks requiring selection between visual targets based on rules, such as conditional if/then rules. These same subjects show no impairment in the ability to discriminate between visual stimuli nor in the ability to learn selection rules in general. Area 8A can be considered as a key area for the top-down control of attentional selection. The present functional neuroimaging study demonstrates that activity in area 8A that lies on the posterior part of the middle frontal gyrus underlies the trial-to-trial selection between competing visual targets based on previously acquired conditional rules. Critically, the activity of area 8A could clearly be dissociated from activity related to the performance of eye movements per se that lies posterior to it. Thus, area 8A with its rich corticocortical connections with the posterior parietal region involved in spatial processing and the multisensory temporal cortex appears to be the key prefrontal area for the higher order selection between competing stimuli in the environment, most likely by the allocation of attention.

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Section: Discussionmentioning

confidence: 99%

Area 8A within the Posterior Middle Frontal Gyrus Underlies Cognitive Selection between Competing Visual Targets

Germann

Petrides

2020

eNeuro

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“…Impaired connectivity in the parietal lobe (Kahn et al, ; Peters et al, ) and frontal lobe (van den Heuvel et al, ) have also been described previously. Furthermore, the inferior temporal gyrus, which is known to be involved in visual processes (Papadelis et al, ; Zhang, Mlynaryk, Ahmed, Japee, & Ungerleider, ), has shown significant anatomical connectivity abnormalities in schizophrenia patients (Jeong, Wible, Hashimoto, & Kubicki, ).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the inferior temporal gyrus, which is known to be involved in visual processes (Papadelis et al, 2016;Zhang, Mlynaryk, Ahmed, Japee, & Ungerleider, 2018), has shown significant anatomical connectivity abnormalities in schizophrenia patients (Jeong, Wible, Hashimoto, & Kubicki, 2009).…”

Section: Discussionmentioning

confidence: 99%

Diagnosing schizophrenia with network analysis and a machine learning method

Joo

Shon

et al. 2020

Int J Methods Psych Res

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Objective Schizophrenia is a chronic and debilitating neuropsychiatric disorder. It has been suggested that impaired brain connectivity underlies the pathophysiology of schizophrenia. Network analysis has thus recently emerged in the field of schizophrenia research. Methods We investigated 48 schizophrenia patients and 24 healthy controls using network analysis and a machine learning method. A number of global and nodal network properties were estimated from graphs that were reconstructed using probabilistic brain tractography. These network properties were then compared between groups and used for machine learning to classify schizophrenia patients and healthy controls. Results In classifying schizophrenia patients and healthy controls via network properties, the support vector machine, random forest, naïve Bayes, and gradient boosting machine learning models showed an encouraging level of performance. The overall connectivity was revealed as the most significant contributing feature to this classification among the global network properties. Among the nodal network properties, although the relative importance of each region of interest was not identical, there were still some patterns. Conclusion In conclusion, the possibility exists to classify schizophrenia patients and healthy controls using network properties, and we have found that there is a provisional pattern of involved brain regions among patients with schizophrenia.

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“…Although one may argue that endogenous attention to different stimulus attributes, including spatial locations, features, and objects, is thought to originate from a common control system known as the dorsal attention network, even within this common framework, attention to a specific attribute is thought to operate within the sensory cortical area that is responsive to the to‐be‐attended stimulus attribute. Furthermore, recent work points to specialized control areas that participate in feature attention but not spatial attention . Exogenous attention is thought to be driven by a different configuration of brain areas .…”

Section: Implicit Minimal Attention—“the Near Absence Of Attention”mentioning

confidence: 99%

“…Furthermore, recent work points to specialized control areas that participate in feature attention but not spatial attention. 69 Exogenous attention is thought to be driven by a different configuration of brain areas. 70 The attentional routing of information through the visual system has been associated with phase synchronization of mutual oscillatory frequencies between adjacent cortical areas, 55 and this may be mediated by subcortical mechanisms.…”

Section: Implicit Minimal Attention-"the Near Absence Of Attention"mentioning

confidence: 99%

Recent evidence that attention is necessary, but not sufficient, for conscious perception

Noah

Mangun

2019

Annals of the New York Academy of Sciences

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Early descriptions of attention in the psychological literature highlighted its interdependence with conscious awareness. As the study of attention developed, consciousness and attention began to be considered separable phenomena, experimentally and theoretically. In recent years, an energetic debate has developed concerning the extent to which the two phenomena are related. One school of thought considers the two to be doubly dissociable, whereas the other considers them to be necessarily linked. In this review, we highlight experimental findings from the last 5 years that contribute to the leading consensus view: attention is necessary, but not sufficient, for conscious perception. We review studies that show attention operating in conjunction with unconscious information, and other evidence linking attention necessarily to conscious perception. By drawing upon evidence that attention comprises many cognitive and neural processes, we argue that by studying how different forms of attention are related to conscious perception, it is possible to gain new insights about the neural states or processes that are necessary for conscious perception to occur.

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The role of inferior frontal junction in controlling the spatially global effect of feature-based attention in human visual areas

Cited by 33 publications

References 88 publications

Area 8A within the Posterior Middle Frontal Gyrus Underlies Cognitive Selection between Competing Visual Targets

Area 8A within the Posterior Middle Frontal Gyrus Underlies Cognitive Selection between Competing Visual Targets

Diagnosing schizophrenia with network analysis and a machine learning method

Recent evidence that attention is necessary, but not sufficient, for conscious perception

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