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Seeing Is Believing: The Effect of Brain Images on Judgments of Scientific Reasoning

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Abstract

Brain images are believed to have a particularly persuasive influence on the public perception of research on cognition. Three experiments are reported showing that presenting brain images with articles summarizing cognitive neuroscience research resulted in higher ratings of scientific reasoning for arguments made in those articles, as compared to articles accompanied by bar graphs, a topographical map of brain activation, or no image. These data lend support to the notion that part of the fascination, and the credibility, of brain imaging research lies in the persuasive power of the actual brain images themselves. We argue that brain images are influential because they provide a physical basis for abstract cognitive processes, appealing to people's affinity for reductionistic explanations of cognitive phenomena.

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... First, theories underlying the multimedia effect make statements about perceptual processes that have not been verified directly. Second, recent empirical research questions this general beneficial effect of pictures and even suggests that pictures may bias people into being uncritical towards scientific texts (i.e., picture bias effect) (McCabe & Castel, 2008). Thus, in this study, we (1) investigate the multimedia effect and its underlying cognitive and perceptual processes directly with think-aloud protocols and eye tracking and (2) we test the picture bias effect. ...
... Again, this is problematic as it could result in students overlooking logical flaws in a text and thus not being able to build a coherent mental model of the task at hand, again, resulting in poorer task performance. McCabe and Castel (2008) showed that the mere presence of an illustration increased the perceived credibility of a scientific text. The readers were less critical against the arguments of a scientific text, when it was accompanied by a scientific illustration. ...
... Students may recognize parts of the input and the graph, and parts (maybe only keywords) of the problem statement and they then say something like "yes this is [for example] the triangle inequality, so this must be true". These results are in line with McCabe and Castel (2008), who found that including brain images in an article increased the scientific credibility of the results. They argue that this may be because the brain images "provide a physical basis for abstract cognitive processes". ...
Preprint
Textbooks in applied mathematics often use graphs to explain the meaning of formulae, even though their benefit is still not fully explored. To test processes underlying this assumed multimedia effect we collected performance scores, eye movements, and think-aloud protocols from students solving problems in vector calculus with and without graphs. Results showed no overall multimedia effect, but instead an effect to confirm statements that were accompanied by graphs, irrespective of whether these statements were true or false. Eye movement and verbal data shed light on this surprising finding. Students looked proportionally less at the text and the problem statement when a graph was present. Moreover, they experienced more mental effort with the graph, as indicated by more silent pauses in thinking aloud. Hence, students actively processed the graphs. This, however, was not sufficient. Further analysis revealed that the more students looked at the statement, the better they performed. Thus, in the multimedia condition the graph drew students' attention and cognitive capacities away from focusing on the statement. A good alternative strategy in the multimedia condition was to frequently look between graph and problem statement, and thus to integrate their information. In conclusion, graphs influence where students look and what they process, and may even mislead them into believing accompanying information. Thus, teachers and textbook designers should be very critical on when to use graphs and carefully consider how the graphs are integrated with other parts of the problem.
... Furthermore, numerous research has shown that fNIRS is a reliable method for gauging the extent to which the brain is stimulated in response to different forms of academic and linguistic endeavors (Cutini et al., 2016;Jasinska, 2013;Kuhl et al., 2020;Safi et al., 2012;Soltanlou et al., 2018;Sugiura et al., 2011;Wan et al., 2018). Functional magnetic resonance imaging, positron emission tomography, electroencephalography, and magnetoencephalography are all examples of neurocognitive devices that have been used in the past to examine the structural and functional changes that occur in the developing brain at various stages (Bevilacqua et al., 2019;Keehner et al., 2011;McCabe & Castel, 2008;Munakata et al., 2004) and to evaluate the brain mechanisms underlying cognitive activities like language and reading in infants and adults (Nevat et al., 2014;Soltanlou et al., 2018). Although most neuroimaging methods suffer from motion errors, fNIRS is less rigid, more adaptable, and more cost-effective when compared to the other methods (Herold et al., 2017;Soltanlou et al., 2018). ...
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The cortical activation and performance of 3rd grade students were investigated using Functional near infrared spectroscopy (fNIRS) during reading Arabic language. The main cortical activation parameter tested was hemoglobin difference (HbDiff), while the performance was evaluated according to the number of committed errors and latency. The recorded HbDiff concentrations for the typically developed (TD) were significantly higher (0.05) than that of students with dyslexia (Dys), confirming higher brain activities for TD students. TD students committed less errors and need less time to finish the task. Moreover, Pearson correlation analysis performed showed that there was a negative correlation between cortical activation parameters and performance. Limited studies explored the use of fNIRS to investigate the cortical activation of Arabic students’ brains or correlated between the cortical activation and performance variables. Therefore, this current research is novel and showed the potential utilization of the fNIRS in the field of educational neuroscience.
... Unfortunately, the bias toward the allure of "seeing an image of the brain" in a scientific paper is documented, and one must exercise caution in the presence of beautiful, captivating images, as they can be accompanied by unfounded conclusions and unconvincing or overinterpreted data. 17 In light of epistemological skepticism, it is important to recognize that while functional imaging provides meaningful information related to brain function, metabolism, and morphology, it involves statistical operations and consequently, the final results are often highly dependent on the chosen method. 18 The construction of new scientific paradigms could benefit from approaches used in the humanities which foster both flexibility and rigor while exploring complex phenomena. ...
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Background The rapid advancement of technology-focused strategies in neurorehabilitation has brought optimism to individuals with neurological disorders, caregivers, and physicians while reshaping medical practice and training. Objectives We critically examine the implications of technology in neurorehabilitation, drawing on discussions from the 2021 and 2024 World Congress for NeuroRehabilitation. While acknowledging the value of technology, it highlights inherent limitations and ethical concerns, particularly regarding the potential overshadowing of humanistic approaches. The integration of technologies such as robotics, artificial intelligence, neuromodulation, and brain-computer interfaces enriches neurorehabilitation by offering interdisciplinary solutions. However, ethical considerations arise regarding the balance between compensation for deficits, accessibility of technologies, and their alignment with fundamental principles of care. Additionally, the pitfalls of relying solely on neuroimaging data are discussed, stressing the necessity for a more comprehensive understanding of individual variability and clinical skills in rehabilitation. Results From a clinical perspective, the article advocates for realistic solutions that prioritize individual needs, quality of life, and social inclusion over technological allure. It underscores the importance of modesty and honesty in responding to expectations while emphasizing the uniqueness of each individual’s experience. Moreover, it argues for the preservation of human-centric approaches alongside technological advancements, recognizing the invaluable role of clinical observation and human interaction in rehabilitation. Conclusion Ultimately, the article calls for a balanced attitude that integrates both scientific and humanistic perspectives in neurorehabilitation. It highlights the symbiotic relationship between the sciences and humanities, advocating for philosophical questioning to guide the ethical implementation of new technologies and foster interdisciplinary dialogue.
... Neurophysiological measurements promise insights into previously unobservable phenomena of the brain, and thus a deeper understanding of human behaviour. Especially for laypersons, this leads to a tendency to perceive information as more trustworthy and explanations as more satisfying if accompanied by a neuroscientific explanation (Weisberg et al., 2008) or brain imagery (McCabe & Castel, 2008). Even if the neuroscience aspect itself has no explanatory value whatsoever, the mere addition of it gives credibility to research, and only experts in this field of research seem immune to this effect (Weisberg et al., 2008). ...
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Assessing the pilot’s cognitive state is of increasing importance in aviation, especially for the development of adaptive assistance systems. For this purpose, the assessment of mental workload (MWL) is of special interest as an indication when and how to adapt the automation to fit the pilot’s current needs. Thus, there is a need to assess the pilot continuously, objectively and non-intrusively. Neurophysiological measurements like electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) are promising candidates for such an assessment. Yet, there is evidence that EEG- and fNIRS-based MWL measures are susceptible to influences from other concepts like mental fatigue (MF), and decrease in accuracy when MWL and MF confound. Still, there are only few studies targeting this problem, and no systematic investigation into this problem has taken place. Thus, the validity of neurophysiological MWL measures is not clear yet. In order to undertake such a systematic investigation, I conducted three studies: one experiment in which I investigated the effects of increasing MWL on cortical activation when MF is controlled for; a second experiment in which I examined the effects of increasing MF on cortical activation when MWL is controlled for; and a further comparative analysis of the gathered data. In order to induce MWL and MF in a controllable and comparable fashion, I conceived and used a simplified simulated flight task with an incorporated adapted n-back and monitoring task. I used a concurrent EEG-fNIRS measurement to gain neurophysiological data, and collected performance data and self-reported MWL and MF. In the first study (N = 35), I induce different four levels of MWL by increasing the difficulty of the n-back task, and controlled for MF by means of randomization and a short task duration (≤ 45 minutes). Higher task difficulty elicited higher subjective MWL ratings, declining performance, increased frontal theta band power and decreased frontal deoxyhaemoglobin (HbR) concentration. Furthermore, fNIRS proved more sensitive to tasks with low difficulty, and EEG to tasks with high difficulty. Only the combination of both methods was able to discriminate all four induced MWL levels. Thus, frontal theta band power and HbR were sensitive to changing MWL. In the second study (N = 31), I. I induced MF by means of time on task. Thus, I prolonged the task duration to approx. 90 minutes, and controlled for MWL by using a low but constant task difficulty derived from the first experiment. Over the course of the experiment, the participants’ subjective MF increased linearly, but their performance remained stable. In the EEG data, there was an early increase and levelling in parietal alpha band power and a slower, but steady increase in frontal theta band power. The fNIRS data did not show a consistent trend in any direction with increasing MF. Thus, only parietal alpha and frontal theta band power were sensitive to changing MF. In the third study, I investigated the validity of two EEG indices commonly used for MWL assessment, the Task Load Index (TLI) and the Engagement Index (EI). I computed the indices from the data of the two experiments, and compared the results between the datasets, and to single band powers. The TLI increased with increasing MWL, but was less sensitive than theta band power alone, and varied slightly with increasing MF. The EI did not vary with MWL, and was not sensitive to gradually increasing MF. Thus, neither index could be considered a valid MWL measure. In sum, neurophysiological measures can be used to assess changes in MWL. Yet, frontal HbR was the only measure sensitive to MWL that did not also vary with MF, and further research is needed to conclude if this finding holds true under different task characteristics. Thus, the tested EEG and fNIRS measures are only valid indications of MWL when confounding effects of MF are explicitly controlled for. I discuss further influences on the tested EEG and fNIRS measures, possible combinations with other data sources, and practical challenges for a neurophysiological MWL assessment. I conclude that neurophysiological measures should be used carefully outside the laboratory, as their validity will likely suffer in realistic settings. When their limitations are understood and respected, they can help to understand the cognitive processes involved in MWL, and can be a valuable addition to an MWL assessment.
... Whether they 'work' or not is often assessed according to user satisfaction, rather than anything specifically rooted in the technology's functioning. What's more, literature suggests consumers are not alone in being apt to believe dubious claims couched in neuroscientific terms (Beyerstein, 1990;McCabe & Castel, 2008;Rhodes et al., 2014). This suggests consumer vulnerability to neurohype, likely compounded by predominantly positive media coverage (Gilbert et al., 2019). ...
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This paper provides a justificatory rationale for recommending the inclusion of imagined future use cases in neurotechnology development processes, specifically for legal and policy ends. Including detailed imaginative engagement with future applications of neurotechnology can serve to connect ethical, legal, and policy issues potentially arising from the translation of brain stimulation research to the public consumer domain. Futurist scholars have for some time recommended approaches that merge creative arts with scientific development in order to theorise possible futures toward which current trends in technology development might be steered. Taking a creative, imaginative approach like this in the neurotechnology context can help move development processes beyond considerations of device functioning, safety, and compliance with existing regulation, and into an active engagement with potential future dynamics brought about by the emergence of the neurotechnology itself. Imagined scenarios can engage with potential consumer uses of devices that might come to challenge legal or policy contexts. An anticipatory, creative approach can imagine what such uses might consist in, and what they might imply. Justifying this approach also prompts a co-responsibility perspective for policymaking in technology contexts. Overall, this furnishes a mode of neurotechnology’s emergence that can avoid crises of confidence in terms of ethico-legal issues, and promote policy responses balanced between knowledge, values, protected innovation potential, and regulatory safeguards.
... These 'traveling images' (Dumit, 2004) seem to hold great authority in comparison to other forms of research data in today's society. The inclusion of images generated from fMRI greatly influences the perceived credibility of popular media articles (McCabe and Castel, 2008). One fMRI figure is included in the Tech Talk article (See Appendix 1) with a brief caption restating the findings of the study in relation to the image. ...
... However, it is important to note that brain measures have been and can be misused (e.g. see the concepts of neuromyths) (Torrijos-Muelas et al., 2021) and have further been shown to lead to public misconception (e.g., see (McCabe and Castel, 2008); Weisberg et al., 2008). Nevertheless, we argue that brain imaging in this particular context has its legitimate value as a knowledge basis that can drive policy. ...
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... Texts with diagrams, graphs, and tables were perceived as more scientific and persuasive, as they serve as plausibility cues and are associated with science [10][11][12]. However, the impact of brain (fMRI) images in popular science articles is controversial [14,15]. Pictures and illustrations in articles seem to contribute to increased credibility and received positive assessments [13,16]. ...
Chapter
Science literacy is a crucial part of information literacy, enabling individuals to understand and critically evaluate scientific information and arguments. The COVID-19 pandemic has highlighted the need for science literacy skills to navigate the vast amount of information available, and to understand and engage with scientific issues that impact society. The perceived scientificness of information is closely related to its credibility, but something that appears scientific may not be accurate or true. Pseudoscience can be used to claim scientificness and credibility for something that is not scientific. This paper reviews the scientific literature on factors that can mislead individuals into thinking information is credible or scientific when it is not. By understanding these factors, individuals can become more discerning consumers of scientific information and better equipped to make informed decisions.
... There are also public concerns about neurobiological evidence disproportionately influencing juries and that such an effect may outweigh its probative value. Fueled partly by sensationalist media representations, such concerns have also drawn upon initial research data suggesting the proposed "seductive allure" of neuroimages on lay people's perception of scientific claims (McCabe & Castel, 2008). ...
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... Neuroscience-related information seems to be particularly appealing to the public (Beck, 2010). McCabe and Castel (2008) assessed participants' credibility on neuroscience research while presenting the information through different formats. They noticed that disseminating research with brain images resulted in higher ratings than either only texts (no images), bar graphs or topographical maps of brain activation. ...
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... Since the invention of functional neuroimaging methods in the early 1990s, this instrumentally and computationally expensive methodology has captured our interests and imaginations about visualization of the working mind [McCabe & Castel, 2008]. In a 2014 qualitative study of individuals with no background in brain sciences, O'Connor and Joffe demonstrated that the discussions of brain science were often overshadowed by common-sense (divorced from the science) and that a sense of anxiety permeated the discussions of brain science, especially more intense in those of older age [O'Connor & Joffe, 2014]. ...
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Drug addiction manifests as a compulsive drive to take a drug despite serious adverse consequences. This aberrant behaviour has traditionally been viewed as bad "choices" that are made voluntarily by the addict. However, recent studies have shown that repeated drug use leads to long-lasting changes in the brain that undermine voluntary control. This, combined with new knowledge of how environmental, genetic and developmental factors contribute to addiction, should bring about changes in our approach to the prevention and treatment of addiction.
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There is much interest currently in using functional neuroimaging techniques to understand better the nature of cognition. One particular practice that has become common is 'reverse inference', by which the engagement of a particular cognitive process is inferred from the activation of a particular brain region. Such inferences are not deductively valid, but can still provide some information. Using a Bayesian analysis of the BrainMap neuroimaging database, I characterize the amount of additional evidence in favor of the engagement of a cognitive process that can be offered by a reverse inference. Its usefulness is particularly limited by the selectivity of activation in the region of interest. I argue that cognitive neuroscientists should be circumspect in the use of reverse inference, particularly when selectivity of the region in question cannot be established or is known to be weak.
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Searching for the person in the brain
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