scholarly journals Political neuroscience: Understanding how the brain makes political decisions

2020 ◽  
Author(s):  
Ingrid Johnsen Haas ◽  
Clarisse Warren ◽  
Samantha J. Lauf

Recent research in political psychology and biopolitics has begun to incorporate theory and methods from cognitive neuroscience. The emerging interdisciplinary field of political neuroscience (or neuropolitics) is focused on understanding the neural mechanisms underlying political information processing and decision making. Most of the existing work in this area has utilized structural magnetic resonance imaging, functional magnetic resonance imaging, or electroencephalography, and focused on understanding areas of the brain commonly implicated in social and affective neuroscience more generally. This includes brain regions involved in affective and evaluative processing, such as the amygdala, insula, anterior cingulate, and orbitofrontal cortex, as well as regions involved in social cognition (e.g., medial prefrontal cortex), decision making (e.g., dorsolateral prefrontal cortex), and reward processing (e.g., ventral striatum). Existing research in political neuroscience has largely focused on understanding candidate evaluation, political participation, and ideological differences. Early work in the field focused simply on examining neural responses to political stimuli, whereas more recent work has begun to examine more nuanced hypotheses about how the brain engages in political cognition and decision making. While the field is still relatively new, this work has begun to improve our understanding of how people engage in motivated reasoning about political candidates and elected officials and the extent to which these processes may be automatic versus relatively more controlled. Other work has focused on understanding how brain differences are related to differences in political opinion, showing both structural and functional variation between political liberals and political conservatives. Neuroscientific methods are best used as part of a larger, multimethod research program to help inform theoretical questions about mechanisms underlying political cognition. This work can then be triangulated with experimental laboratory studies, psychophysiology, and traditional survey approaches and help to constrain and ensure that theory in political psychology and political behavior is biologically plausible given what we know about underlying neural architecture. This field will continue to grow, as interest and expertise expand and new technologies become available.

Author(s):  
Ingrid J. Haas ◽  
Clarisse Warren ◽  
Samantha J. Lauf

Recent research in political psychology and biopolitics has begun to incorporate theory and methods from cognitive neuroscience. The emerging interdisciplinary field of political neuroscience (or neuropolitics) is focused on understanding the neural mechanisms underlying political information processing and decision making. Most of the existing work in this area has utilized structural magnetic resonance imaging, functional magnetic resonance imaging, or electroencephalography, and focused on understanding areas of the brain commonly implicated in social and affective neuroscience more generally. This includes brain regions involved in affective and evaluative processing, such as the amygdala, insula, anterior cingulate, and orbitofrontal cortex, as well as regions involved in social cognition (e.g., medial prefrontal cortex [PFC]), decision making (e.g., dorsolateral PFC), and reward processing (e.g., ventral striatum). Existing research in political neuroscience has largely focused on understanding candidate evaluation, political participation, and ideological differences. Early work in the field focused simply on examining neural responses to political stimuli, whereas more recent work has begun to examine more nuanced hypotheses about how the brain engages in political cognition and decision making. While the field is still relatively new, this work has begun to improve our understanding of how people engage in motivated reasoning about political candidates and elected officials and the extent to which these processes may be automatic versus relatively more controlled. Other work has focused on understanding how brain differences are related to differences in political opinion, showing both structural and functional variation between political liberals and political conservatives. Neuroscientific methods are best used as part of a larger, multimethod research program to help inform theoretical questions about mechanisms underlying political cognition. This work can then be triangulated with experimental laboratory studies, psychophysiology, and traditional survey approaches and help to constrain and ensure that theory in political psychology and political behavior is biologically plausible given what we know about underlying neural architecture. This field will continue to grow, as interest and expertise expand and new technologies become available.


Author(s):  
Jiameng Xu

How do our brains process and attach positive and negative value to the objects around us, the sensations we feel, and the experiences that we have? One method of examining these questions is to detect, using functional magnetic resonance imaging (fMRI), which areas of the human brain are activated when subjects are exposed to rewarding and aversive stimuli. Although many fMRI studies have concentrated on identifying a network of areas that become active in processing either reward or aversion, there is evidence of significant overlap between the “reward” and “aversion” networks, suggesting that the brain might process rewarding and aversive stimuli in a similar manner regardless of valence. Thus, a meta-analysis of fMRI studies involving rewarding and aversive stimuli was undertaken to determine the areas of the brain that are commonly and differentially activated by reward and aversion. The preliminary results indicate that regions of the prefrontal cortex, anterior cingulate cortex, amygdala, nucleus accumbens, hippocampus, and basal ganglia were commonly activated by rewarding and aversive stimuli, while areas including the insula, midcingulate cortex, and parts of the hippocampus were differentially activated. Locating such commonalities and differences might help in our understanding of how the brain ascribes value to our environment.  


2018 ◽  
Vol 3 (2) ◽  
pp. 59-64
Author(s):  
Xiping Liu ◽  
Yasutomo Imai ◽  
Yan Zhou ◽  
Sebastian Yu ◽  
Rupeng Li ◽  
...  

Functional connectivity magnetic resonance imaging (fcMRI), a specific form of MRI imaging, quantitatively assesses connectivity between brain regions that share functional properties. Functional connectivity magnetic resonance imaging has already provided unique insights into changes in the brain in patients with conditions such as depression and pain and symptoms that have been reported by patients with psoriasis and are known to impact quality of life. To identify the central neurological impact of psoriasiform inflammation of the skin, we applied fcMRI analysis to mice that had been topically treated with the Toll-like receptor agonist, imiquimod (IMQ) to induce psoriasiform dermatitis. Brain insula regions, due to their suggested role in stress, were chosen as seed regions for fcMRI analysis. Mouse ear and head skin developed psoriasiform epidermal thickening (up to 4-fold, P < .05) and dermal inflammation after 4 days of topical treatment with IMQ. After fcMRI analysis, IMQ-treated mice showed significantly increased insula fc with wide areas throughout the brain, including, but not limited to, the somatosensory cortex, anterior cingulate cortex, and caudate putamen ( P < .005). This reflects a potential central neurological impact of IMQ-induced psoriasis-like skin inflammation. These data indicate that fcMRI may be valuable tool to quantitatively assess the neurological impact of skin inflammation in patients with psoriasis.


2018 ◽  
Vol 7 (3) ◽  
pp. 217-221
Author(s):  
E. V. Shevchenko ◽  
G. R. Ramazanov ◽  
S. S. Petrikov

Background Acute dizziness may be the only symptom of stroke. Prevalence of this disease among patients with isolated dizziness differs significantly and depends on study design, inclusion criteria and diagnostic methods. In available investigations, we did not find any prospective studies where magnetic resonance imaging, positional maneuvers, and Halmagyi-Curthoys test had been used to clarify a pattern of diseases with isolated acute dizziness and suspected stroke.Aim of study To clarify the pattern of the causes of dizziness in patients with suspected acute stroke.Material and methods We examined 160 patients admitted to N.V. Sklifosovsky Research Institute for Emergency Medicine with suspected stroke and single or underlying complaint of dizziness. All patients were examined with assessment of neurological status, Dix-Hollpike and Pagnini-McClure maneuvers, HalmagyiCurthoys test, triplex scans of brachiocephalic arteries, transthoracic echocardiography, computed tomography (CT) and magnetic resonance imaging (MRI) of the brain with magnetic field strength 1.5 T. MRI of the brain was performed in patients without evidence of stroke by CT and in patients with stroke of undetermined etiology according to the TOAST classification.Results In 16 patients (10%), the cause of dizziness was a disease of the brain: ischemic stroke (n=14 (88%)), hemorrhage (n=1 (6%)), transient ischemic attack (TIA) of posterior circulation (n=1 (6%)). In 70.6% patients (n=113), the dizziness was associated with peripheral vestibulopathy: benign paroxysmal positional vertigo (n=85 (75%)), vestibular neuritis (n=19 (17%)), Meniere’s disease (n=7 (6%)), labyrinthitis (n=2 (1,3%)). In 6.9% patients (n=11), the cause of dizziness was hypertensive encephalopathy, 1.9% of patients (n=3) had heart rhythm disturbance, 9.4% of patients (n=15) had psychogenic dizziness, 0.6% of patients (n=1) had demyelinating disease, and 0.6% of patients (n=1) had hemic hypoxia associated with iron deficiency anemia.Conclusion In 70.6% patients with acute dizziness, admitted to hospital with a suspected stroke, peripheral vestibulopathy was revealed. Only 10% of patients had a stroke as a cause of dizziness.


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