The dorsal attention network (DAN), also known anatomically as the dorsal frontoparietal network (D-FPN), is a large-scale brain network of the human brain that is primarily composed of the intraparietal sulcus (IPS) and frontal eye fields (FEF). [2] [3] It is named and most known for its role in voluntary orienting of visuospatial attention. [4] [5]
As the IPS and FEF were noticed to be activated during many attention-demanding tasks, this network was sometimes referred to as the task-positive network to contrast it against the task-negative network, or default mode network. [6] However, this dichotomy is now considered misleading, because the default mode network can be active in certain cognitive tasks. [7]
The core regions of the DAN are the IPS and FEF of each hemisphere. [8] Other regions of the network may include the middle temporal region (MT+), [6] superior parietal lobule (SPL), supplementary eye field (SEF), [9] and ventral premotor cortex. [10]
More recent works indicate that the cerebellum may participate in this network as well. [11] [12] Less studied regions include the right dorsolateral prefrontal cortex and superior colliculus. [10]
The DAN is most prominently involved in goal-directed, voluntary control of visuospatial attention. [4] [5] Corbetta et al., who first defined and named the DAN in the early-to-mid 2000s, [5] [13] suggest that the network is involved in general top-down selection of stimuli and responses, including other modalities (e.g. auditory, tactile). [14] However, evidence that the full DAN is involved in auditory top-down attention has been questioned, as tests that make said claims incorporated both auditory and visual stimuli. [15]
The dorsal attention network dynamically interacts with the ventral attention network (or salience network) according to task demands. [1] The inferior frontal junction configures this interaction between the two networks during task switches or attention shifts. [16]
Reduced connectivity within the dorsal and ventral attention networks has been linked to higher levels of attention deficit hyperactivity disorder symptoms. [17] [18] Similarly, reduced connectivity between the DAN and the frontoparietal network is associated with major depressive disorder. [19] On the other hand, overactivation of the DAN has been observed in patients with schizophrenia. [20]
There are several variations of this network's name in neuroscience literature, such as the dorsal attention system, [1] dorsal frontoparietal attention network, [9] and frontoparietal attention network. [21] Until the discovery of other networks, such as the frontoparietal control network, the term task-positive network referred to the DAN. [22] The term task-positive networks is still sometimes used to refer to all non-default-mode networks. [23]
In 2019, Uddin et al. proposed that dorsal frontoparietal network (D-FPN) be used as a standard anatomical name for this network. [10]
The claustrum is a thin sheet of neurons and supporting glial cells, that connects to the cerebral cortex and subcortical regions including the amygdala, hippocampus and thalamus of the brain. It is located between the insular cortex laterally and the putamen medially, encased by the extreme and external capsules respectively. Blood to the claustrum is supplied by the middle cerebral artery. It is considered to be the most densely connected structure in the brain, and thus hypothesized to allow for the integration of various cortical inputs such as vision, sound and touch, into one experience. Other hypotheses suggest that the claustrum plays a role in salience processing, to direct attention towards the most behaviorally relevant stimuli amongst the background noise. The claustrum is difficult to study given the limited number of individuals with claustral lesions and the poor resolution of neuroimaging.
In psycholinguistics, language processing refers to the way humans use words to communicate ideas and feelings, and how such communications are processed and understood. Language processing is considered to be a uniquely human ability that is not produced with the same grammatical understanding or systematicity in even human's closest primate relatives.
The two-streams hypothesis is a model of the neural processing of vision as well as hearing. The hypothesis, given its initial characterisation in a paper by David Milner and Melvyn A. Goodale in 1992, argues that humans possess two distinct visual systems. Recently there seems to be evidence of two distinct auditory systems as well. As visual information exits the occipital lobe, and as sound leaves the phonological network, it follows two main pathways, or "streams". The ventral stream leads to the temporal lobe, which is involved with object and visual identification and recognition. The dorsal stream leads to the parietal lobe, which is involved with processing the object's spatial location relative to the viewer and with speech repetition.
The frontal eye fields (FEF) are a region located in the frontal cortex, more specifically in Brodmann area 8 or BA8, of the primate brain. In humans, it can be more accurately said to lie in a region around the intersection of the middle frontal gyrus with the precentral gyrus, consisting of a frontal and parietal portion. The FEF is responsible for saccadic eye movements for the purpose of visual field perception and awareness, as well as for voluntary eye movement. The FEF communicates with extraocular muscles indirectly via the paramedian pontine reticular formation. Destruction of the FEF causes deviation of the eyes to the ipsilateral side.
The posterior cingulate cortex (PCC) is the caudal part of the cingulate cortex, located posterior to the anterior cingulate cortex. This is the upper part of the "limbic lobe". The cingulate cortex is made up of an area around the midline of the brain. Surrounding areas include the retrosplenial cortex and the precuneus.
The intraparietal sulcus (IPS) is located on the lateral surface of the parietal lobe, and consists of an oblique and a horizontal portion. The IPS contains a series of functionally distinct subregions that have been intensively investigated using both single cell neurophysiology in primates and human functional neuroimaging. Its principal functions are related to perceptual-motor coordination and visual attention, which allows for visually-guided pointing, grasping, and object manipulation that can produce a desired effect.
Attentional shift occurs when directing attention to a point increases the efficiency of processing of that point and includes inhibition to decrease attentional resources to unwanted or irrelevant inputs. Shifting of attention is needed to allocate attentional resources to more efficiently process information from a stimulus. Research has shown that when an object or area is attended, processing operates more efficiently. Task switching costs occur when performance on a task suffers due to the increased effort added in shifting attention. There are competing theories that attempt to explain why and how attention is shifted as well as how attention is moved through space.
In neuroscience, the default mode network (DMN), also known as the default network, default state network, or anatomically the medial frontoparietal network (M-FPN), is a large-scale brain network primarily composed of the dorsal medial prefrontal cortex, posterior cingulate cortex, precuneus and angular gyrus. It is best known for being active when a person is not focused on the outside world and the brain is at wakeful rest, such as during daydreaming and mind-wandering. It can also be active during detailed thoughts related to external task performance. Other times that the DMN is active include when the individual is thinking about others, thinking about themselves, remembering the past, and planning for the future.
Auditory spatial attention is a specific form of attention, involving the focusing of auditory perception to a location in space.
Marcus E. Raichle is an American neurologist at the Washington University School of Medicine in Saint Louis, Missouri. He is a professor in the Department of Radiology with joint appointments in Neurology, Neurobiology and Biomedical Engineering. His research over the past 40 years has focused on the nature of functional brain imaging signals arising from PET and fMRI and the application of these techniques to the study of the human brain in health and disease. He received the Kavli Prize in Neuroscience “for the discovery of specialized brain networks for memory and cognition", together with Brenda Milner and John O’Keefe in 2014.
Resting state fMRI is a method of functional magnetic resonance imaging (fMRI) that is used in brain mapping to evaluate regional interactions that occur in a resting or task-negative state, when an explicit task is not being performed. A number of resting-state brain networks have been identified, one of which is the default mode network. These brain networks are observed through changes in blood flow in the brain which creates what is referred to as a blood-oxygen-level dependent (BOLD) signal that can be measured using fMRI.
The Posner cueing task, also known as the Posner paradigm, is a neuropsychological test often used to assess attention. Formulated by Michael Posner, it assesses a person's ability to perform an attentional shift. It has been used and modified to assess disorders, focal brain injury, and the effects of both on spatial attention.
The ventrolateral prefrontal cortex (VLPFC) is a section of the prefrontal cortex located on the inferior frontal gyrus, bounded superiorly by the inferior frontal sulcus and inferiorly by the lateral sulcus. It is attributed to the anatomical structures of Brodmann's area (BA) 47, 45 and 44.
Large-scale brain networks are collections of widespread brain regions showing functional connectivity by statistical analysis of the fMRI BOLD signal or other recording methods such as EEG, PET and MEG. An emerging paradigm in neuroscience is that cognitive tasks are performed not by individual brain regions working in isolation but by networks consisting of several discrete brain regions that are said to be "functionally connected". Functional connectivity networks may be found using algorithms such as cluster analysis, spatial independent component analysis (ICA), seed based, and others. Synchronized brain regions may also be identified using long-range synchronization of the EEG, MEG, or other dynamic brain signals.
The salience network (SN), also known anatomically as the midcingulo-insular network (M-CIN) or ventral attention network, is a large scale network of the human brain that is primarily composed of the anterior insula (AI) and dorsal anterior cingulate cortex (dACC). It is involved in detecting and filtering salient stimuli, as well as in recruiting relevant functional networks. Together with its interconnected brain networks, the SN contributes to a variety of complex functions, including communication, social behavior, and self-awareness through the integration of sensory, emotional, and cognitive information.
Social cognitive neuroscience is the scientific study of the biological processes underpinning social cognition. Specifically, it uses the tools of neuroscience to study "the mental mechanisms that create, frame, regulate, and respond to our experience of the social world". Social cognitive neuroscience uses the epistemological foundations of cognitive neuroscience, and is closely related to social neuroscience. Social cognitive neuroscience employs human neuroimaging, typically using functional magnetic resonance imaging (fMRI). Human brain stimulation techniques such as transcranial magnetic stimulation and transcranial direct-current stimulation are also used. In nonhuman animals, direct electrophysiological recordings and electrical stimulation of single cells and neuronal populations are utilized for investigating lower-level social cognitive processes.
Network neuroscience is an approach to understanding the structure and function of the human brain through an approach of network science, through the paradigm of graph theory. A network is a connection of many brain regions that interact with each other to give rise to a particular function. Network Neuroscience is a broad field that studies the brain in an integrative way by recording, analyzing, and mapping the brain in various ways. The field studies the brain at multiple scales of analysis to ultimately explain brain systems, behavior, and dysfunction of behavior in psychiatric and neurological diseases. Network neuroscience provides an important theoretical base for understanding neurobiological systems at multiple scales of analysis.
The frontoparietal network (FPN), generally also known as the central executive network (CEN) or, more specifically, the lateral frontoparietal network (L-FPN), is a large-scale brain network primarily composed of the dorsolateral prefrontal cortex and posterior parietal cortex, around the intraparietal sulcus. It is involved in sustained attention, complex problem-solving and working memory.
Alexander T. Sack is a German neuroscientist and cognitive psychologist. He is currently appointed as a full professor and chair of applied cognitive neuroscience at the Faculty of Psychology and Neuroscience at Maastricht University. He is also co-founder and board member of the Dutch-Flemish Brain Stimulation Foundation, director of the International Clinical TMS Certification Course, co-director of the Center for Integrative Neuroscience (CIN) and the Scientific Director of the Transcranial Brain Stimulation Policlinic at Maastricht University Medical Centre.
Michael D. Fox is an American neurologist at Harvard Medical School in Boston, Massachusetts where he holds the Raymond D. Adams Distinguished Chair in Neurology and directs the Center for Brain Circuit Therapeutics at Brigham and Women's Hospital. His research has focused on resting state brain fMRI which uses spontaneous fluctuations in blood oxygenation to map brain networks including the default mode network. He developed the technique lesion network mapping to study the connectivity patterns of brain lesions to help understand the neuroanatomy of a diverse range of processes including addiction, criminality, blindsight, free will and religiosity. Michael D. Fox has been considered among the "World's Most Influential Scientific Minds" by Thomson Reuters since 2014.