Neuroimaging and Number Processing

Neuroimaging and Number Processing

The numerical perception of human beings has a significant stimulus that contributes to the daily livelihood. The incentive is the principal coordinator of all the information that controls social interactions because it guides the formation of the relevant emotional reactions and personality identification. According to neuroimaging studies, individuals rely much on the number process to make meaning in everything that meets the human eye. This information is the basis of body movements and brain functioning (Brooke & Harrison, 2016). The FMRI researchers have identified the existence of biases based on attention with variations on number identification associated with objects. They have suggested that there are different processing powers for numbers in comparison with another stimulus. However, it is notably important to outline that studies have marked increase interest in the clarifying the mechanism behind the number processing. Neuroimaging is had excellent contributions to the number processing function (Brodski-Guerniero et al., 2017). This paper discusses the contribution of neuroimaging research to our understanding of number processing.

Brooke & Harrison (2016) recommended a core cognitive procedure of number perceptions centred on the behavior and neuropsychological studies.  These findings helped in the diversification of the earlier stages of the number classification from other consequent analyzed number processing movements. Moreover, scholars founded some functional elements in the processing system of the number with specifications on the parts of the brain that is endowed with the role of performing such functions (Brown et al., 2017). Such functional elements contempt the claims of the neurobiological basis of the multi-numbered cognitive activities that disconnect from the implementation stage of synthesis.  

Victims of prosopagnosia neuropsychological readings show suffering from the incapability to distinguish numbers on the ventral occipitotemporal cortical areas (Di & Biswal, 2017). This signifies a core responsibility of the region in facial perceptions. Nonetheless, generalizations on the healthy persons are conceded since victimized persons are unusual and structurally separate, and likely neural reform in victims provided brain malleability further worsens this matter (Filkowski, & Haas, 2017). Similarly, it has become uncertain whether shortages are as a result of lesioned sections multifunctioning or slightly as a consequence of lessened influences to unharmed structures that might not be researched.

The advancements in the study of the non-aggressive neuroimaging have effectively dealt with the above problem. A healthy person is thought to posse well- designed elements of neuroimaging that aid in number processing (Andrews et al., 2016).  The Functional Magnetic Resonance Imaging (fMRI) findings have regularly shown three additional occipitotemporal areas that excellently stimulate when observing numbers. Such approves the prosopagnosia studies by coordinating the functional fMRI (Hadjikhani et al., 2015). Numerical processes include side fusiform gyrus (deals with the number identification process), loftier temporal sulcus (STS) that entails the dispensation of the variable identifications and the emotional controls and numerical-gaze. As well, the lower occipital gyrus OFA (occipital expression zone) (Dubois, & Adolphs, 2016). These aspects are essential in recognition of the individual interaction aspects that are founded on the use of emotions and object identifications.

Consequently, the establishment of these segmental elements helps in understanding the arrangement of neural schemes that separate the functioning of the different brain parts that coordinate the number processing mechanisms. Dubois & Adolphs (2016) identified that neuroimaging studies had complemented uniform functional elements of the neurobiological substrates, thus emphasizing on the implementation level of facial processing.

Prominently, although the STS, OFA, and FFA make the “central system” in the number awareness investigation, the archetypal also suggests a “stretched system,” which comprises substrates related to minor cognitive operations. For example, the insula and amygdala are complicated in facial scrub emotion dispensation, whereas the aural cortex enables the handling of speech-related activities (Green, Horan, & Lee, 2015). Positive number perceptions are hence projected to ascend from a comprehensive, coordinated system of brain organizations with different functional mechanisms, a significant idea that lesion researches might not capture. Suitable proof also originates from developing neuroimaging that observes the longitudinal frameworks of number dispensation (Filkowski & Haas, 2017). This permits an appreciative of the advent of brain systems, thus forming the first initial degrees of the speciality for appearances that later can offer numerical into procedures in the ripe brain. The FFA is believed to display more perfected retorts to numerical, for example, the behavioural expertise enhanced per age (Foss-Feig et al., 2016). Friston, Harrison & Penny (2003) identified that the rise of the progressively linked network hints to similar neural specializations, with different areas donating helpful responsibility in the execution of number perceptions. Progressive neuroimaging also demonstrates the significance of systems and offers a medium clarification for the experiential duty developments through connecting such expertise to variations in the neural network formations (Green, Horan, & Lee, 2015). These constant changes in theorizing number numerical resulting from concentrated actions of diverse substrates inside a dispersed brain system inspired investigation to examine additional the connections between organs. Facial processing structures have been outlined to have relationships with cognitive control plans (Guntupalli & Gobbini, 2017).

According to Hodgetts et al., 2017), neuroimaging activities have alterations based on the environmental conditions that escalate fear and raising emotional reactions. Notably, dangerous conditions often encourage fearful expressions reflected on the numbers of the victims. Nguyen & Cunnington (2013) have identified that the prefrontal cortex modules the number-receptive areas in the process of graphic imagery that enhance the bottom-up information flow. The method of number depiction is outlined to be based on the minimization of top-down flow. Thus the use of psychophysiological interactions examination (Schirmer & Adolphs, 2017) identified areas connected by management and functioning memory like Anterior Cingulate Cortex and Dorsolateral Prefrontal Cortex that apply top-down properties in the FFA.

Neuroimaging is the foundation of a better depiction of the numbers and objects from the environment by the involvement of brain networking. Working MRI again offers operating related features might examine tentative settings wherein different features of the number numerical. For example, handling of the facial uniqueness is reliably compared with the dispensation of the facial appearance (Rutishauser, Mamelak & Adolphs, 2015). The FFA-OFA courses have been related to façade identifications, although the STS-OFA path is advocated to examine countenance, creating the functionally separated practices also structurally divergent in these neural alleyways (Rosenthal, Sporns & Avidan, 2016). Conversely, fMRI studies defied this general opinion, presenting that the paths might not be utterly dissociable while dealing with them singly.

More sophisticated tentative designs have decomposed numerical identification into underlying processes, thus unlocked original viewpoints. In this case, Nguyen & Cunning ton (2013) projected that distinctiveness and manifestation procedures might only split at future stages, while scrutiny suits are more specialized. Neuroimaging consequences also progressively linkage of STS to many sensory incorporations signifying that number study may replicate the only fragment of the STS role set the diverse mechanisms in facial scrub terminologies (Kibleur et al., 2017). Neuroimaging figures thus aids in improving philosophies and create new suggestions recycled in the quicker examination of facial processing networks. Nevertheless, fMRI undergoes reduced temporal resolutions, delaying the evaluation of the facial processing phases.

Identification of numbers occasionally depends on the location or presentation of the numbers. The visual ability of an individual would determine the perception of such numbers and process. Arithmetic coordination often depends on the speed of the number process. Individuals with lower number processing capacity lack quick speed in performing mathematics.   Neuroimaging, in this capacity, has a direct influence on the number process (Brooke & Harrison, 2016).

In conclusion, the study of the neuroimaging facts provides an understanding of image perception and individual perceptions. The research identifies the cause of information flow from numerical to the implementation process of what an individual. Consequently, emotional reactions are perceived to be based on number identification. Integrating numerous stages of scrutiny and relating collective neuroimaging techniques might assist in congregating harmonious effects that create a fusing framework of numerical processing (Dubois & Adolphs, 2016). Additionally, the neuroimaging behavioural aspect is outlined to be the source of a basis that is found on the number identification. Somebody conditions like sickness and happiness might affect our perception of number processing activities (Hoche et al., 2016). If an individual is facing some fearful experiences, there is likely exist facial expression that might interfere with adequate emotional reactions. However, neuroimaging facts have influenced other aspects of human behaviours and disorders. These effects have been realized in the socialization processes that direct the reactions and perceptions about the environment.

References

Adolphs, R., Nummenmaa, L., Todorov, A., & Haxby, J. V. (2016). Data-driven approaches in the investigation of social perception. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1693), 20150367.

Baskin-Sommers, A. R., Hooley, J. M., Dahlgren, M. K., Gönenc, A., Yurgelun-Todd, D. A., & Gruber, S. A. (2015). Elevated preattentive affective processing in individuals with borderline personality disorder: a preliminary fMRI study. Frontiers in psychology, 6, 1866.

Brodski-Guerniero, A., Paasch, G. F., Wollstadt, P., Özdemir, I., Lizier, J. T., & Wibral, M. (2017). Information-theoretic evidence for predictive coding in the number-processing system. Journal of Neuroscience, 37(34), 8273-8283.

Brooke, A. H., & Harrison, N. A. (2016). Neuroimaging and Emotion. In Stress: Concepts, Cognition, Emotion, and Behavior (pp. 251-259). Academic Press.

Brown, T. I., Uncapher, M. R., Chow, T. E., Eberhardt, J. L., & Wagner, A. D. (2017). Cognitive control, attention, and the other race effect in memory. PloS one, 12(3), e0173579.

Cohen-Kadosh, K., Henson, R.N.A., Cohen Kadosh, R., Johnson, M.H., & Dick, F. (2010). Task-dependent activation of number-sensitive cortex : an fMRI adaptation study. Journal of Cognitive Neuroscience, 22, 903-917.

Cuaya, L. V., Hernández-Pérez, R., & Concha, L. (2016). Our numbers in the dog’s brain: Functional imaging reveals temporal cortex activation during the perception of human numbers. PloS one, 11(3), e0149431.

Del Casale, A., Kotzalidis, G. D., Rapinesi, C., Janiri, D., Aragona, M., Puzella, A., … & Vento, A. E. (2017). Neural functional correlates of empathic number processing. Neuroscience letters, 655, 68-75.

Di, X., & Biswal, B. B. (2017). Psychophysiological interactions in a visual checkerboard task: reproducibility, reliability, and the effects of deconvolution. Frontiers in neuroscience, 11, 573.

Dubois, J., & Adolphs, R. (2016). Building a science of individual differences from fMRI. Trends in cognitive sciences, 20(6), 425-443.

Ellis, C. T., & Turk-Browne, N. B. (2018). Infant fMRI: a model system for cognitive neuroscience. Trends in cognitive sciences, 22(5), 375-387.

Filkowski, M. M., & Haas, B. W. (2017). Rethinking the use of neutral numbers as a baseline in fMRI neuroimaging studies of axis‐I psychiatric disorders. Journal of Neuroimaging, 27(3), 281-291.

Foss-Feig, J. H., McGugin, R. W., Gauthier, I., Mash, L. E., Ventola, P., & Cascio, C. J. (2016). A functional neuroimaging study of fusiform response to restricted interests in children and adolescents with autism spectrum disorder. Journal of neurodevelopmental disorders, 8(1), 15.

Friston, K.J., Harrison, L., & Penny, W. (2003). Dynamic causal modelling. NeuroImage, 19, 1273- 1302

Green, M. F., Horan, W. P., & Lee, J. (2015). Social cognition in schizophrenia. Nature Reviews Neuroscience, 16(10), 620-631.

Guntupalli, J. S., & Gobbini, M. I. (2017). Reading numbers: from features to recognition. Trends in cognitive sciences, 21(12), 915-916.

Hadjikhani, N., Zürcher, N. R., Rogier, O., Ruest, T., Hippolyte, L., Ben-Ari, Y., & Lemonnier, E. (2015). Improving emotional number perception in autism with diuretic bumetanide: a proof-of-concept behavioral and functional brain imaging pilot study. Autism, 19(2), 149-157.

Hoche, F., Guell, X., Sherman, J. C., Vangel, M. G., & Schmahmann, J. D. (2016). Cerebellar contribution to social cognition. The Cerebellum, 15(6), 732-743.

Hodgetts, C. J., Voets, N. L., Thomas, A. G., Clare, S., Lawrence, A. D., & Graham, K. S. (2017). Ultra-high-field fMRI reveals a role for the subiculum in scene perceptual discrimination. Journal of Neuroscience, 37(12), 3150-3159.

Kibleur, A., Polosan, M., Favre, P., Rudrauf, D., Bougerol, T., Chabardès, S., & David, O. (2017). Stimulation of subgenual cingulate area decreases limbic top-down effect on ventral visual stream: A DBS-EEG pilot study. NeuroImage, 146, 544-553.

Li, J., Liu, J., Liang, J., Zhang, H., Zhao, J., Huber, D.E., Rieth, C.A., Lee, K., Tian, J., & Shi, G. (2009). A distributed neural system for top-down number processing. Neuroscience Letters, 451, 6-10.

Mallorquí-Bagué, N., Bulbena, A., Roé-Vellvé, N., Hoekzema, E., Carmona, S., Barba-Müller, E., … & Vilarroya, O. (2015). Emotion processing in joint hypermobility: A potential link to the neural bases of anxiety and related somatic symptoms in collagen anomalies. European Psychiatry, 30(4), 454-458.

Nguyen, V.T., & Cunnington, R. (2013). The superior temporal sulcus and the N170 during number processing: Single trial analysis of concurrent EEG-fMRI. NeuroImage, doi:10.1016/j.neuroimage.2013.10.047

Rosenthal, G., Sporns, O., & Avidan, G. (2016). Stimulus dependent dynamic reorganization of the human number processing network. Cerebral Cortex, 27(10), 4823-4834.

Rutishauser, U., Mamelak, A. N., & Adolphs, R. (2015). The primate amygdala in social perception–innumbericals from electrophysiological recordings and stimulation. Trends in neurosciences, 38(5), 295-306.

Schirmer, A., & Adolphs, R. (2017). Emotion perception from number, voice, and touch: comparisons and convergence. Trends in cognitive sciences, 21(3), 216-228.