Ch. 17 Cognitive Neuroscience and Society LM Flashcards

1
Q

Which of the following statements BEST reflects the public’s perception of neuroimaging technology, according to the sources?

(A) People are generally unwilling to undergo brain scans, even for medical diagnoses.

(B) People are enthusiastic about the potential of neuroimaging but lack detailed knowledge about the technology.

(C) People believe that neuroimaging can accurately predict future behavior, such as criminal tendencies.

(D) People are highly skeptical of the claims made about neuroimaging technology and its applications.

A

(B) People are enthusiastic about the potential of neuroimaging but lack detailed knowledge about the technology.

Explanation: Sources and indicate that media reports often present enthusiastic views about neuroimaging technology but provide limited details. Source further notes that while people are willing to undergo brain scans for research or medical purposes, they express reservations about other applications, suggesting a nuanced view of the technology’s role.

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2
Q

The “seductive allure” of neuroscience refers to the phenomenon where:

(A) Neuroscience research is often used to justify discriminatory practices.

(B) People find brain images aesthetically pleasing and are drawn to neuroscientific explanations.

(C) Even weak arguments related to the brain are perceived as more convincing.

(D) Neuroscience is used to manipulate people’s purchasing decisions through targeted advertising.

A

(C) Even weak arguments related to the brain are perceived as more convincing.

Explanation: Source explicitly states that “brain-related information has broad interest, so even flimsy arguments seem substantial,” encapsulating the concept of “seductive allure.”

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3
Q

Which of the following scenarios BEST exemplifies the “seductive allure” of neuroscience in action?

(A) A judge considers a defendant’s history of childhood trauma when determining their sentence.

(B) A company uses brain imaging data to develop a new drug for treating Alzheimer’s disease.

(C) A marketing campaign for a brain training app uses brain images to promote its effectiveness, even though scientific evidence is limited.

(D) A teacher adapts their teaching methods based on research about how the brain learns language.

A

(C) A marketing campaign for a brain training app uses brain images to promote its effectiveness, even though scientific evidence is limited.

Explanation: Option (C) aligns with the concept of “seductive allure” as it involves leveraging brain imagery and neuroscientific terminology to enhance the perceived credibility of a product, even when strong scientific backing is lacking. Source highlights the potential for such manipulative tactics in the context of brain training apps.

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4
Q

How does the concept of “confirmation bias” relate to the public’s understanding of neuroscience?

(A) People tend to seek out neuroscience information that confirms their preexisting beliefs about the brain.

(B) Neuroscience research is often biased towards confirming the hypotheses of the researchers.

(C) The media tends to report only on neuroscience findings that confirm popular opinions.

(D) People’s brains are wired to selectively remember information that aligns with their worldview.

A

(A) People tend to seek out neuroscience information that confirms their preexisting beliefs about the brain.

Explanation: Source notes that neuroscience information is often used to support confirmation bias. Source defines confirmation bias as “a cognitive bias to interpret new information in a way that supports preexisting beliefs or opinions.” This suggests that individuals may selectively attend to or interpret neuroscientific information in a way that reinforces their existing views.

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5
Q

Neuroscience research suggests that difficulties in reading, like those seen in dyslexia, are associated with:

(A) Increased activity in right-hemisphere regions related to visual processing.

(B) Enhanced connectivity between the frontal and occipital lobes.

(C) Reduced activity in left-hemisphere areas involved in language processing.

(D) Overactivation of the hippocampus, leading to difficulties in memory retrieval.

A

(C) Reduced activity in left-hemisphere areas involved in language processing.

Explanation: Source states that individuals with dyslexia often exhibit “reduced activity in left-hemisphere frontal, parietal, and temporal lobe regions relevant to language processing.”

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6
Q

A key challenge in understanding the neural basis of reading disabilities is disentangling:

(A) The influence of genetic factors versus environmental influences.

(B) Whether observed brain differences are a cause or a consequence of reading difficulties.

(C) The role of visual processing versus auditory processing in reading comprehension.

(D) The contribution of attentional deficits versus language impairments in dyslexia.
Explanation: Source highlights the “cause-or-consequence” dilemma in dyslexia research, stating that “neural differences could be the cause of differences in reading skill” or “could be the consequence of different amounts of reading experience.”

A

(B) Whether observed brain differences are a cause or a consequence of reading difficulties.

Explanation: Source highlights the “cause-or-consequence” dilemma in dyslexia research, stating that “neural differences could be the cause of differences in reading skill” or “could be the consequence of different amounts of reading experience.”

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7
Q

Studies examining children with risk factors for dyslexia, but who have not yet started formal reading instruction, have shown that:

(A) Behavioral measures alone are sufficient to predict future reading skills accurately.

(B) Early intervention programs have no impact on the neural development of reading skills.

(C) Neural measures can predict future reading skill better than behavioral measures alone.

(D) Brain differences observed in these children are identical to those seen in adults with dyslexia.

A

(C) Neural measures can predict future reading skill better than behavioral measures alone.

Explanation: Source indicates that “neural measures can predict future reading skill better than only behavioral measures” in children who have not yet begun reading but have risk factors for dyslexia.

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8
Q

How can neuroscience research inform educational practices, particularly for students with learning disabilities?

(A) By providing definitive evidence that all learning disabilities are caused by brain abnormalities.

(B) By identifying specific brain regions and functions that are implicated in learning difficulties, allowing for the development of targeted interventions.

(C) By replacing traditional educational assessments with brain imaging techniques to diagnose learning disorders.

(D) By demonstrating that educational interventions cannot change brain structure or function, therefore supporting a focus on compensatory strategies.

A

(B) By identifying specific brain regions and functions that are implicated in learning difficulties, allowing for the development of targeted interventions.

Explanation: Source notes that neuroscience “can inform educational theory and practice in specific targeted areas, such as reading and math” and “can inform how to teach students with learning disabilities.” This suggests that understanding the neural mechanisms of learning can guide the development of interventions that address specific cognitive challenges.

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9
Q

Which of the following statements BEST describes the relationship between socioeconomic status (SES) and brain development, according to the sources?

(A) SES-related differences in brain development are only evident in adulthood.

(B) Poverty has a detrimental impact on brain development and cognitive function.

(C) High SES guarantees superior cognitive abilities and brain structure.

(D) SES has a negligible influence on brain development, as genetic factors are the primary determinants.

A

(B) Poverty has a detrimental impact on brain development and cognitive function.

Explanation: Source explicitly states that “poverty affects brain development and cognition,” highlighting the negative impact of low SES on brain development.

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10
Q

Research suggests that SES-related differences in brain anatomy and development are MOST pronounced:

(A) Among middle-class families.

(B) In late adolescence.

(C) At the lowest end of the SES spectrum.

(D) Across all income levels equally.

A

(C) At the lowest end of the SES spectrum.

Explanation: Source emphasizes that “SES-related differences in brain anatomy and development are disproportionately pronounced at the lowest end of the SES continuum.” This suggests that the most significant disparities are observed among individuals experiencing the most severe poverty.

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11
Q

One proposed mechanism through which poverty impacts brain development is:

(A) Increased access to extracurricular activities.

(B) Higher quality nutrition during early childhood.

(C) Reduced exposure to environmental toxins.

(D) Limited language stimulation in the home environment.

A

(D) Limited language stimulation in the home environment.

Explanation: Source lists “language stimulation in the home (30 million word gap)” as one potential mechanism linking low SES to altered cognitive outcomes. Source further elaborates on this concept, stating that “Low SES kids are exposed to 30 million fewer words than high SES kids.”

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12
Q

In addition to language stimulation, what other factor is proposed to contribute to SES-related differences in cognitive development?

(A) Parental education levels.
(B) Chronic stress.
(C) Neighborhood safety.
(D) Access to healthcare.

A

(B) Chronic stress.

Explanation: Source identifies “stress” as a second potential mechanism that may explain the connection between SES and brain development. It suggests that the chronic stress associated with poverty can negatively affect cognitive function and brain structure.

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13
Q

Which of the following interventions is suggested as a potential approach to mitigating the negative effects of poverty on brain development?

(A) Two-generation interventions that target both children and their families.

(B) Selective enrollment of low-SES children in gifted programs.

(C) Financial incentives for high-SES families to mentor low-SES families.

(D) Delaying formal schooling for low-SES children until their cognitive skills improve

A

(A) Two-generation interventions that target both children and their families.

Explanation: Source advocates for “two-generation interventions,” explaining that they “target the whole family, rather than focusing solely on the child or the school setting.” This approach recognizes the interconnectedness of family dynamics and child development in addressing the impact of poverty.

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14
Q

The concept of “culpability,” as it relates to neuroscience and the law, refers to:

(A) The severity of a crime, as determined by the amount of harm caused.

(B) The degree to which a person is held responsible for their actions.

(C) The likelihood that a convicted individual will re-offend in the future.

(D) The admissibility of neuroscientific evidence in court proceedings.

A

(B) The degree to which a person is held responsible for their actions.

Explanation: Source defines culpability as “The degree to which a person is held responsible for an action.” This concept is central to legal proceedings, as it determines the extent to which individuals can be held accountable for their behavior.

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15
Q

Neuroscience research on adolescent brain development has raised questions about:

(A) Whether adolescents should be allowed to vote.

(B) The effectiveness of rehabilitation programs for juvenile offenders.

(C) The level of culpability that should be assigned to adolescents who commit crimes.

(D) The use of brain imaging techniques to predict future criminal behavior in adolescents.

A

(C) The level of culpability that should be assigned to adolescents who commit crimes.

Explanation: Source focuses on the intersection of neuroscience and juvenile justice, specifically asking, “Do adolescents have reduced culpability compared to adults?” This highlights how neuroscientific insights into adolescent brain development are being considered in legal contexts to assess the responsibility of young offenders.

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16
Q

The argument for in adolescents, based on neuroscience research, suggests that:

(A) Adolescents are inherently more impulsive and prone to criminal behavior than adults.

(B) Adolescents lack the cognitive ability to understand the consequences of their actions.

(C) Adolescents’ brains are still developing, which may limit their impulse control and decision-making abilities.

(D) Adolescents should not be held accountable for any crimes committed before the age of 18.

A

(C) Adolescents’ brains are still developing, which may limit their impulse control and decision-making abilities.

Explanation: Source states that “Adolescents may have a ‘diminished capacity’ by virtue of their immaturity.” This argument stems from the understanding that the adolescent brain, particularly the prefrontal cortex responsible for executive functions like impulse control and decision-making, is not yet fully developed.

17
Q

How has cognitive neuroscience contributed to legal proceedings involving individuals diagnosed with psychopathy?

(A) Brain imaging evidence has definitively proven that psychopathy is a valid and reliable diagnosis.

(B) Expert testimony from neuroscientists has been used to argue for both mitigating and aggravating factors in sentencing.

(C) Neuroscientific findings have led to the exclusion of psychopathy as a mitigating factor in all criminal cases.

(D) Brain scans have replaced traditional psychological assessments in diagnosing psychopathy in legal settings.

A

(B) Expert testimony from neuroscientists has been used to argue for both mitigating and aggravating factors in sentencing.

Explanation: Source provides an example of a legal case involving an individual diagnosed with psychopathy. The description of the case illustrates how both the prosecution and defense used expert testimony from neuroscientists to present arguments for and against considering psychopathy as a mitigating factor in sentencing. This suggests that neuroscience is playing a role in legal deliberations concerning culpability and appropriate punishment for individuals with psychopathy.

18
Q

The “dual-use dilemma” in neuroscience and the law refers to:

(A) The potential for neuroscientific findings to be used for both beneficial and harmful purposes.

(B) The ethical considerations of using brain imaging techniques on individuals who are not competent to consent.

(C) The challenge of balancing the rights of victims with the rights of individuals with mental disorders.

(D) The conflict between scientific objectivity and legal interpretations of neuroscientific evidence.

A

(A) The potential for neuroscientific findings to be used for both beneficial and harmful purposes.

Explanation: Source mentions the “dual-use dilemma” in a broader societal context, urging the use of neuroscience for good and not for evil. In a legal context, this dilemma could involve situations where neuroscientific findings, such as those related to psychopathy or adolescent brain development, could be used either to advocate for more lenient sentencing or to justify harsher punishments. Source defines “Dual-use dilemma” as “In the context of bioethics, the fact that many new technologies can be used for both beneficial and malevolent purposes.”

19
Q

Research indicates that children from low-SES backgrounds may experience alterations in brain structure, particularly in areas associated with:

(A) Executive control, memory, and emotional processing.

(B) Sensory processing, motor skills, and spatial reasoning.

(C) Creativity, artistic expression, and musical ability.

(D) Physical growth, immune function, and cardiovascular health.

A

(A) Executive control, memory, and emotional processing.

Explanation: Source specifically mentions that low-SES children exhibit “SES-related reductions in cortical thickness in the left inferior frontal gyrus and right anterior cingulate cortex (associated with executive control),” and “smaller gray-matter volumes in hippocampus and cortical regions of the temporal lobe (associated with memory and emotional processing).” These findings directly link low SES to structural differences in brain regions crucial for these cognitive functions.

20
Q

The “30 million word gap” hypothesis, though challenged in recent research, suggests that:

(A) Children from low-SES families have a vocabulary limited to 30 million words.

(B) Children from high-SES families learn 30 million more words in school than their low-SES peers.

(C) Genetic factors account for a 30 million word difference in language skills between low- and high-SES children.

(D) Children from low-SES families are exposed to significantly less language input compared to their high-SES counterparts.

A

(D) Children from low-SES families are exposed to significantly less language input compared to their high-SES counterparts.

Explanation: Source introduces the “30 million word gap” as a potential mechanism for SES-related cognitive differences, stating that “Low SES kids are exposed to 30 million fewer words than high SES kids.” While acknowledging recent challenges to this assertion, the core idea emphasizes a disparity in language stimulation between SES groups, potentially impacting brain development.

21
Q

Figure 17.8 from the sources, depicting socioeconomic status effects on early visual responses, suggests that:

(A) Low-SES children have inherent visual impairments compared to their high-SES peers.

(B) High-SES children are exposed to a greater variety of visual stimuli, leading to enhanced visual processing.

(C) Even basic sensory processing, such as visual responses, can be influenced by socioeconomic factors early in development.

(D) Differences in visual processing are solely attributable to genetic variations and are unrelated to SES.

A

(C) Even basic sensory processing, such as visual responses, can be influenced by socioeconomic factors early in development.

Explanation: While the figure doesn’t offer specific details about the study, the title – “Socioeconomic status affects early visual responses to images” – highlights a key finding: SES influences early visual processing. This suggests that the impact of poverty extends beyond higher-order cognitive functions to fundamental sensory processes.

22
Q

Studies using neuroimaging techniques have found that poverty-related stress can lead to:

(A) Increased gray matter volume in the prefrontal cortex, enhancing executive function.

(B) Reduced activity in the amygdala, leading to decreased anxiety and fear responses.

(C) Structural changes in brain regions involved in stress regulation and emotional processing.

(D) Enhanced connectivity between brain regions responsible for reward processing and motivation.

A

(C) Structural changes in brain regions involved in stress regulation and emotional processing.

Explanation: Source identifies “stress” as a significant factor contributing to SES-related differences in brain development. While specific structural changes are not detailed in this source, the established link between chronic stress and alterations in brain regions responsible for stress regulation and emotional processing is well-documented in the broader scientific literature.

23
Q

Beyond individual and family-level interventions, addressing the impact of poverty on brain development requires:

(A) Developing specialized schools for low-SES children with enhanced educational resources.

(B) Providing financial incentives to encourage high-SES families to move into low-SES neighborhoods.

(C) Mandating cognitive training programs for all children, regardless of their socioeconomic background.

(D) Societal-level approaches that aim to reduce poverty and create more equitable opportunities for all children.

A

(D) Societal-level approaches that aim to reduce poverty and create more equitable opportunities for all children.

Explanation: Source emphasizes the need for broader societal change, stating that interventions “at the individual or family level should be supplemented with societal-level approaches.” This highlights that while targeted interventions are important, effectively tackling the issue requires addressing the root causes of poverty and systemic inequalities that perpetuate its negative effects.

24
Q

The “30 million word gap” hypothesis, though contested in recent research, originally proposed that:

(A) Children from low-SES backgrounds hear significantly fewer words in their early years compared to their high-SES peers, potentially impacting language development and brain structure.

(B) Children from high-SES families have a genetically predetermined advantage in language acquisition, leading to a 30 million word difference in vocabulary size by age three.

(C) Exposure to 30 million words is a critical threshold for optimal language development, regardless of a child’s socioeconomic background.

(D) Formal schooling accounts for a 30 million word difference in language skills between high- and low-SES children.

A

(A) Children from low-SES backgrounds hear significantly fewer words in their early years compared to their high-SES peers, potentially impacting language development and brain structure.

Explanation: Source states that “Low SES kids are exposed to 30 million fewer words than high SES kids (Hart & Risley, 1995).” While the exact number and the study’s methodology have been subject to debate, the core concept highlights a potential disparity in language stimulation between SES groups during early childhood, a period crucial for brain development.

25
Q

Which brain area, associated with language processing and executive function, has been shown to exhibit reduced cortical thickness in low-SES children?

(A) Hippocampus
(B) Left inferior frontal gyrus
(C) Amygdala●
(D) Cerebellum

A

(B) Left inferior frontal gyrus

Explanation: Source mentions “SES-related reductions in cortical thickness in the left inferior frontal gyrus and right anterior cingulate cortex (associated with executive control).” The left inferior frontal gyrus plays a key role in language production and comprehension, suggesting that reduced thickness in this region could be linked to language difficulties observed in some low-SES children.

26
Q

Interventions aimed at mitigating the impact of low SES on language and brain development often focus on:

(A) Providing access to advanced technology and digital learning platforms.

(B) Increasing language-rich interactions and enriching the home language environment.

(C) Delaying formal schooling until children from low-SES backgrounds reach age six.

(D) Implementing specialized diets designed to enhance brain function.

A

(B) Increasing language-rich interactions and enriching the home language environment.

Explanation: While the source doesn’t detail specific interventions for language development, it broadly suggests that “Tools of the Mind intervention” and “two-generation interventions” targeting the whole family show promise. Many effective programs in this field center around enhancing the quality and quantity of language input children receive in their home and early learning environments.

27
Q

How might the link between poverty, reduced language exposure, and altered brain development inform educational practices?

(A) Schools should prioritize funding for music and arts programs to compensate for cognitive deficits associated with low SES.

(B) Standardized testing should be adjusted to account for language differences among students from different socioeconomic backgrounds.

(C) Early childhood education programs should focus on creating language-rich environments and supporting language development in all children, particularly those from disadvantaged backgrounds.

(D) Children from low-SES families should be separated into specialized classrooms tailored to their specific learning needs.

A

(C) Early childhood education programs should focus on creating language-rich environments and supporting language development in all children, particularly those from disadvantaged backgrounds.

Explanation: Understanding the potential impact of poverty on language and brain development highlights the importance of providing equitable learning opportunities. Early interventions that focus on enriching language environments and supporting language acquisition can play a crucial role in mitigating the negative effects of low SES and promoting cognitive development.

28
Q

Research suggests that the relationship between poverty, language, and brain development is complex and likely influenced by:

(A) Genetic predispositions that determine language abilities regardless of environmental factors.

(B) Cultural differences in parenting styles that prioritize academic achievement over language development.

(C) A multitude of interacting factors, including parental education, stress levels, access to quality childcare, and neighborhood resources.

(D) Differences in brain structure present at birth that predetermine a child’s susceptibility to the effects of poverty.

A

(C) A multitude of interacting factors, including parental education, stress levels, access to quality childcare, and neighborhood resources.

Explanation: Source acknowledges that poverty’s impact on the brain is multifaceted, mentioning potential mechanisms like language stimulation and stress. Figure 17.7 further illustrates a complex web of influences connecting SES to cognitive outcomes. While language exposure plays a significant role, other factors like parental stress, access to resources, and the overall quality of the early environment contribute to a child’s developmental trajectory.

29
Q

Neuroscience can be applied in the education system to help students with diverse learning needs. Which of the following was found to be useful for early detection of dyslexia in children?

A. Larger ERN component for visually presented words vs. symbols.

B. Larger left frontal lateralization activation for visually presented words vs. symbols.

C. Larger P300 component for visually presented words vs. symbols.

D. Larger N1 component for visually presented words vs. symbols.

A

D. Larger N1 component for visually presented words vs. symbols.