Hemispheric specialization in affective responses, cerebral dominance for language, and handedness

Costanzo, Elsa Y.; Villarreal, Mirta F.; Drucaroff, Lucas; Ortiz-Villafañe, Manuel; Castro, Mariana N.; Goldschmidt, Micaela; Wainsztein, Agustina; Ladrón-de-Guevara, María Soledad; Romero, Carlos; Brusco, Luis I.; Camprodon, Joan A.; Nemeroff, Charles B.; Guinjoan, Salvador M.

doi:10.1016/j.bbr.2015.04.006

Cited by 50 publications

(31 citation statements)

References 46 publications

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“…The imaging time series was realigned to the first volume. The voxel size used was 3.75 × 3.75 × 4mm, which was then normalized volumes to the stereotactic space of Talairach and Tournoux (1998) using the Montreal Neurological Institute reference brain to the default size of 2 × 2 × 2mm 3 (Ashburner and Friston, 1999), as previously employed by our group and others when dealing with cognitive and emotional paradigms (e.g., Goldschmidt et al, 2014;Mascali et al, 2015;Costanzo et al, 2015). Normalized volumes were spatially smoothed by an isotropic Gaussian kernel of 8 mm at full width halfmaximum (Friston et al, 2000).…”

Section: Fmri Analysismentioning

confidence: 99%

Brain activation induced by psychological stress in patients with schizophrenia

Castro

Villarreal

Bolotinsky

et al. 2015

Schizophrenia Research

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Section: Fmri Analysismentioning

confidence: 99%

Brain activation induced by psychological stress in patients with schizophrenia

Castro

Villarreal

Bolotinsky

et al. 2015

Schizophrenia Research

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“…This corroborates studies by Knect et al [13] which state that strong left-handers demonstrated a nearly sevenfold higher incidence of right-hemisphere language dominance than strong right-handers. Costanzo et al [12] in extreme left-handers the incidence of right-hemisphere language dominance was 27%, whereas in extreme right-handers it was 4%. Again most individuals may not want to cross their hand over the dominant ears when busy and so they use the other ear for ease/convenience.…”

Section: Discussionmentioning

confidence: 96%

“…Ever since then a lot of research on functionality of the brain had been carried out using various methods such as magnetic resonance imaging, and positron emission tomography (PET) [8][9][10],Others have determined language laterality using a combination of PET and magnetoencephalographic scans [11]. A study using functional magnetic resonance imaging data showed functional language lateralization to the left hemisphere in right-handed individuals [12]. However, Knecht et al postulated that the distribution of left hemispheric dominance ( LHD) varied with the degree of handedness; the more right-handed the individuals, the lower the relative incidence of right-brain dominance and vice versa [13].…”

Section: Introductionmentioning

confidence: 99%

Hemispheric Dominance and Laterality in Mobile Phone Use in Adults: An Observational Study

Onyeagwara

Okhakhu

2019

AJMAH

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Aims: Mobile/cell phone use has become an important socio-medical means of communication. The reason people use a particular ear to answer phone calls more frequently may be associated with hemispheric dominance/ handedness. We aim to determine association between hemispheric and or auditory dominance in laterality in mobile phone use. Study Design: This was a three month prospective cross-sectional study involving all consenting medical and paramedical respondents. Place and Duration of Study: Hospital community in the University of Benin Teaching Hospital (UBTH), Benin City , between 15 th March to 15 th June 2018. Method: A modification of the Edinburgh handedness inventory (EHI) was the survey tool. Information retrieved included social demographics, hand most commonly used for activities like writing and picking of phone calls and ear used for phone conversation and the reasons. Data was analyzed using SPSS 19.0 Results: Of the 300 questionnaires distributed, 234 (78%) were completed by the respondents. Onyeagwara and Okhakhu; AJMAH, 14(4): 1-9, 2019; Article no.AJMAH.48242 2 There were 120(51.3%) males and114 (48.7%) females. Age ranged from 18 -80years. A total of 201(85.9%) were right handed, 16(6.8%) left handed and 14(6.0%) ambidextrous. One hundred and fifty four (66%) routinely use their right hand to pick phone calls, 50(21.4%) left and 27 (11.5%) use both hands. A total of 141(60%) receive calls with the right ear, 60 (25.6%) with left, and 31(13.2%) had no preference. Reasons advanced for the use of any particular ear included convenience 173 (73.9%), and better acuity 35(15%). Forty two (17.9%) agreed that the use of cell phone made them aware of their poor hearing in a particular ear. Using Pearson's two tailed test of significance the probability of a right hander using the right hand to pick a phone call and placing it on the right ear is 0.99 or 99%, Vis a Vis left hander. Original Research ArticleConclusion: There appears to be an association between hemispheric dominance and laterality when using the mobile phone.

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“…On one hand, research suggests that the amygdala is recruited in specific types of perception such as implicit (e.g., Brück et al, ; LeDoux, ) or nonverbal (e.g., Hariri, Bookheimer, & Mazziotta, ) emotion perception. On the other hand, several lesion studies have pointed to a general role of the left amygdala in response to emotional faces (Markowitsch, ), voices (Frühholz et al, ), and pictures (Gläscher & Adolphs, ), a role that has been backed up by neuroimaging studies of emotion perception (Baas, Aleman, & Kahn, ; Sergerie, Chochol, & Armony, ) and emotion experience (Costanzo et al, ).…”

Section: Discussionmentioning

confidence: 99%

A neurocognitive model of perceptual decision‐making on emotional signals

Dricu

Frühholz

2019

Human Brain Mapping

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Humans make various kinds of decisions about which emotions they perceive from others. Although it might seem like a split‐second phenomenon, deliberating over which emotions we perceive unfolds across several stages of decisional processing. Neurocognitive models of general perception postulate that our brain first extracts sensory information about the world then integrates these data into a percept and lastly interprets it. The aim of the present study was to build an evidence‐based neurocognitive model of perceptual decision‐making on others' emotions. We conducted a series of meta‐analyses of neuroimaging data spanning 30 years on the explicit evaluations of others' emotional expressions. We find that emotion perception is rather an umbrella term for various perception paradigms, each with distinct neural structures that underline task‐related cognitive demands. Furthermore, the left amygdala was responsive across all classes of decisional paradigms, regardless of task‐related demands. Based on these observations, we propose a neurocognitive model that outlines the information flow in the brain needed for a successful evaluation of and decisions on other individuals' emotions. Highlights Emotion classification involves heterogeneous perception and decision‐making tasks Decision‐making processes on emotions rarely covered by existing emotions theories We propose an evidence‐based neuro‐cognitive model of decision‐making on emotions Bilateral brain processes for nonverbal decisions, left brain processes for verbal decisions Left amygdala involved in any kind of decision on emotions

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Hemispheric specialization in affective responses, cerebral dominance for language, and handedness

Cited by 50 publications

References 46 publications

Brain activation induced by psychological stress in patients with schizophrenia

Brain activation induced by psychological stress in patients with schizophrenia

Hemispheric Dominance and Laterality in Mobile Phone Use in Adults: An Observational Study

A neurocognitive model of perceptual decision‐making on emotional signals

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