Biological Bases of Psychological Disorders (7A)
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MCAT Psychological and Social Foundations › Biological Bases of Psychological Disorders (7A)
In a double-blind, placebo-controlled study of major depressive disorder (MDD), researchers measured cerebrospinal fluid (CSF) 5-hydroxyindoleacetic acid (5-HIAA; a serotonin metabolite) at baseline and after 6 weeks of treatment. Participants were randomized to an SSRI or placebo. Depressive symptoms were assessed with the Hamilton Depression Rating Scale (HDRS; higher = worse).
Data (mean ± SD):
- SSRI group (n = 28): baseline CSF 5-HIAA $= 19.8 \pm 4.1$ ng/mL; week-6 CSF 5-HIAA $= 27.6 \pm 5.0$ ng/mL; HDRS change $= -11.2 \pm 6.0$
- Placebo group (n = 27): baseline CSF 5-HIAA $= 20.3 \pm 4.3$ ng/mL; week-6 CSF 5-HIAA $= 21.1 \pm 4.6$ ng/mL; HDRS change $= -3.1 \pm 5.4$ Within the SSRI group, increase in 5-HIAA correlated with symptom improvement ($r = -0.52$).
Based on these findings, which conclusion regarding serotonergic signaling is most consistent with the data?
Symptom improvement is most consistent with increased serotonergic tone during SSRI treatment, as indexed by larger rises in CSF 5-HIAA accompanying larger HDRS decreases.
The data show that baseline 5-HIAA levels alone determine treatment response, because both groups started with similar 5-HIAA values.
The data most strongly support dopamine D2 receptor blockade as the primary mechanism of symptom improvement, because placebo showed smaller HDRS changes.
Symptom improvement is most consistent with reduced serotonergic tone during SSRI treatment, because higher 5-HIAA implies less serotonin release at synapses.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of major depressive disorder. The passage illustrates how serotonergic signaling influences major depressive disorder through the modulation of serotonin metabolites like 5-HIAA during SSRI treatment. In the scenario, the SSRI group exhibited a significant increase in CSF 5-HIAA levels alongside greater reductions in HDRS scores compared to placebo, with a negative correlation indicating larger 5-HIAA rises linked to better symptom improvement. Choice D is correct because it aligns with the passage's depiction of increased serotonergic tone impacting major depressive disorder through elevated 5-HIAA correlating with symptom reduction. Choice B is incorrect due to misapplication of serotonergic tone, which is increased rather than reduced, as evidenced by the data on 5-HIAA and HDRS changes. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Additionally, verify correlations and group differences to confirm mechanistic interpretations.
A study tested whether reduced prefrontal control is associated with obsessive-compulsive disorder (OCD). Adults with OCD (n = 24) and controls (n = 24) completed a response-inhibition task during fMRI. Mean dorsolateral prefrontal cortex (DLPFC) activation (task − baseline, a.u.) and mean error rate (%) were:
- OCD: DLPFC $= 0.31 \pm 0.12$; errors $= 14.5 \pm 4.2$
- Controls: DLPFC $= 0.44 \pm 0.15$; errors $= 10.2 \pm 3.8$ Across all participants, DLPFC activation correlated with fewer errors ($r = -0.46$).
Which conclusion is most consistent with these data regarding brain structure/function in OCD?
OCD is best explained by primary hippocampal dysfunction because response inhibition requires episodic memory formation.
Higher DLPFC engagement causes OCD symptoms because controls show greater activation than patients during inhibition.
The data indicate that DLPFC activation increases error rates, because activation and errors differ between groups.
Lower DLPFC engagement during inhibition is associated with poorer inhibitory performance and is consistent with reduced top-down control in OCD.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of obsessive-compulsive disorder. The passage illustrates how prefrontal cortex function influences obsessive-compulsive disorder through reduced DLPFC activation during inhibition tasks correlating with higher error rates. In the scenario, OCD participants had lower DLPFC activation and more errors, with a negative correlation between activation and errors across all. Choice D is correct because it aligns with the passage's depiction of reduced DLPFC engagement impacting obsessive-compulsive disorder through impaired top-down control. Choice B is incorrect due to misapplication of activation levels, as OCD showed lower, not higher, DLPFC engagement. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Correlate brain activation with behavioral outcomes to infer functional deficits.
A case-control genetic association study examined a single-nucleotide polymorphism (SNP) in the COMT gene (Val158Met) and schizophrenia. Participants were unrelated adults of similar ancestry. Genotype counts were:
- Schizophrenia cases (n = 300): Val/Val = 120, Val/Met = 130, Met/Met = 50
- Controls (n = 300): Val/Val = 90, Val/Met = 140, Met/Met = 70
Assuming Hardy–Weinberg equilibrium is approximately satisfied in controls, which hypothesis about the Val allele aligns best with the observed data?
The Val allele is associated with increased schizophrenia risk because it is more frequent in cases than in controls.
The Val allele is protective because it is less frequent in cases than in controls.
No genetic association can be inferred because equal total sample sizes eliminate differences in allele frequencies.
The Met allele must be causal because heterozygotes are the most common genotype in both groups.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of schizophrenia. The passage illustrates how genetic polymorphisms like the COMT Val158Met SNP influence schizophrenia risk through differences in allele frequencies between cases and controls. In the scenario, the Val allele appears more frequently in schizophrenia cases, particularly in homozygous form, compared to controls, suggesting an association with increased risk. Choice B is correct because it aligns with the passage's depiction of the Val allele impacting schizophrenia through higher frequency in cases, indicating elevated risk. Choice A is incorrect due to misapplication of allele protection, as the Val allele is actually more common in cases, not protective. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Focus on comparing allele and genotype distributions to infer associations accurately.
In a pharmacotherapy study of depression, participants with MDD were randomized to receive a selective norepinephrine reuptake inhibitor (NRI) or placebo for 4 weeks. Researchers used PET imaging with a radioligand sensitive to synaptic norepinephrine (NE): lower binding potential (BP) indicates higher synaptic NE due to competition with the tracer. Results:
- NRI group (n = 18): locus coeruleus BP decreased by 18% from baseline; mean HDRS change = −9.0
- Placebo group (n = 18): locus coeruleus BP decreased by 2% from baseline; mean HDRS change = −2.5
What change in neural signaling would be expected if the NRI is producing its therapeutic effect via its intended mechanism?
Increased GABA release from interneurons due to direct GABA-A receptor agonism, producing lower PET binding potential.
Decreased synaptic NE due to enhanced presynaptic reuptake, producing higher PET binding potential.
Decreased synaptic serotonin due to inhibition of tryptophan hydroxylase, producing lower PET binding potential.
Increased synaptic NE due to reduced presynaptic reuptake, producing lower PET binding potential.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of major depressive disorder. The passage illustrates how noradrenergic signaling influences major depressive disorder through the effects of NRI treatment on synaptic norepinephrine levels and PET binding potential. In the scenario, the NRI group showed decreased locus coeruleus BP, indicating higher synaptic NE, alongside greater HDRS improvements compared to placebo. Choice B is correct because it aligns with the passage's depiction of increased synaptic NE impacting major depressive disorder through reduced reuptake and lower BP, reflecting the intended mechanism. Choice A is incorrect due to misapplication of reuptake effects, as enhanced reuptake would not produce lower BP or therapeutic benefits. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Interpret imaging metrics like binding potential in the context of neurotransmitter competition.
A longitudinal twin study assessed genetic predisposition to alcohol use disorder (AUD). Researchers followed monozygotic (MZ) and dizygotic (DZ) twin pairs from age 18 to 30. AUD diagnosis concordance was:
- MZ twins: 44% concordant (both twins meet AUD criteria)
- DZ twins: 18% concordant
Investigators also recorded whether each twin was exposed to a high-availability alcohol environment (e.g., living within 1 km of multiple bars) between ages 18–21. In the high-availability subgroup, concordance increased to 55% (MZ) and 28% (DZ).
Which interpretation best supports a genetic contribution to AUD while remaining consistent with the environmental moderation shown?
Higher MZ concordance proves a single gene determines AUD, and environmental exposure cannot influence diagnosis once genotype is fixed.
Because MZ concordance is well below 100%, genes play no role; only shared upbringing can explain the difference between MZ and DZ pairs.
Because concordance increases in high-availability settings, AUD is purely environmental and genetic relatedness is irrelevant.
Higher MZ than DZ concordance supports heritability, and increased concordance in high-availability settings suggests gene–environment interaction amplifying genetic risk expression.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of alcohol use disorder. The passage illustrates how genetic factors influence alcohol use disorder through higher concordance in MZ twins compared to DZ, moderated by environmental exposure. In the scenario, concordance rates were higher in MZ pairs and increased further in high-availability environments, suggesting gene-environment interplay. Choice D is correct because it aligns with the passage's depiction of heritability impacting alcohol use disorder through gene-environment interactions that amplify genetic risk. Choice B is incorrect due to misapplication of environmental influence, as genetic relatedness still affects concordance differences. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Examine twin concordance patterns to distinguish genetic and environmental contributions.
An observational study tested whether a common polymorphism in the serotonin transporter gene (5-HTTLPR) moderates risk for developing major depressive episodes (MDEs) following stress exposure. Adults without current depression were genotyped (S/S, S/L, L/L) and followed for 12 months. High stress was defined as $\ge 3$ major life events during follow-up.
Incidence of MDE (%):
- High stress: S/S 28%, S/L 18%, L/L 10%
- Low stress: S/S 6%, S/L 5%, L/L 4%
Which hypothesis about genetic predisposition best aligns with these data?
Genotype determines depression risk regardless of environment, because incidence differs slightly across genotypes under low stress.
The L allele increases vulnerability to stress-related depression, because L/L has the lowest incidence under high stress.
Stress has no effect on depression risk because all genotypes show some incidence of MDE during follow-up.
The S allele increases vulnerability to stress-related depression, consistent with a gene–environment interaction where genotype effects are larger under high stress.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of major depressive disorder. The passage illustrates how genetic polymorphisms like 5-HTTLPR influence major depressive disorder through moderating risk under stress exposure. In the scenario, the S allele was associated with higher MDE incidence under high stress, showing greater genotype differences in that condition. Choice C is correct because it aligns with the passage's depiction of the S allele impacting major depressive disorder through gene-environment interaction amplifying vulnerability under stress. Choice B is incorrect due to misapplication of allele effects, as the L allele showed lower incidence under high stress. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Compare incidence across conditions to identify interaction effects.
To examine a neurotransmitter-related mechanism in panic disorder, researchers measured plasma lactate response and insula activation during a CO$_2$ inhalation challenge. Patients with panic disorder (n = 20) and controls (n = 20) inhaled 7% CO$_2$ for 2 minutes. Peak panic symptom rating (0–10) and insula BOLD change (challenge − baseline, a.u.) were recorded.
Mean results:
- Panic disorder: symptom rating $= 7.1 \pm 1.4$; insula BOLD $= 0.55 \pm 0.20$
- Controls: symptom rating $= 3.2 \pm 1.6$; insula BOLD $= 0.28 \pm 0.15$ Across participants, insula BOLD correlated with symptom rating ($r = 0.63$).
Which additional finding would best support the hypothesis that heightened insula interoceptive processing contributes causally to panic symptoms during CO$_2$ challenge?
Higher self-reported trait anxiety in the panic disorder group compared with controls.
A within-subject reduction of insula activation and panic ratings after administration of a drug that dampens insula excitability, without changing CO$_2$ dose.
No difference between groups in baseline insula activity before CO$_2$ inhalation.
A stronger correlation between symptom rating and heart rate than between symptom rating and insula activation.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of panic disorder. The passage illustrates how insula activation influences panic disorder through heightened interoceptive processing during CO2 challenges correlating with symptom ratings. In the scenario, panic disorder participants showed greater insula BOLD changes and symptom ratings, with a positive correlation across groups. Choice A is correct because it aligns with the passage's depiction of insula processing impacting panic disorder through a causal manipulation reducing both activation and symptoms. Choice B is incorrect due to misapplication of correlations, as physiological measures like heart rate do not address causality in insula function. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Seek experimental manipulations to establish causal roles beyond correlations.
Researchers examined a biological marker of posttraumatic stress disorder (PTSD) involving hypothalamic–pituitary–adrenal (HPA) axis regulation. After an acute stress task, salivary cortisol (nmol/L) was measured at baseline and 30 minutes post-stressor. Participants were trauma-exposed adults with PTSD (n = 26) or without PTSD (n = 26).
Mean cortisol (nmol/L):
- PTSD: baseline 8.2; +30 min 9.0
- Trauma-exposed controls: baseline 8.0; +30 min 12.4
Which finding would best support the interpretation that altered HPA-axis responsivity is a biological factor associated with PTSD rather than a measurement artifact?
The cortisol assay has a fixed lower detection limit that is above zero for all samples.
PTSD participants report higher subjective stress during the task than controls, regardless of cortisol values.
PTSD participants show a blunted cortisol increase across two different stress paradigms and on repeat testing weeks later, with similar baseline cortisol across groups.
Cortisol values differ by time of day in both groups because cortisol has a diurnal rhythm.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of posttraumatic stress disorder. The passage illustrates how HPA-axis responsivity influences posttraumatic stress disorder through blunted cortisol responses to acute stress in affected individuals. In the scenario, PTSD participants showed minimal cortisol increase post-stressor compared to controls, despite similar baselines. Choice A is correct because it aligns with the passage's depiction of altered HPA responsivity impacting posttraumatic stress disorder through consistent blunting across paradigms and time, ruling out artifacts. Choice B is incorrect due to misapplication of subjective reports, which do not address biological responsivity or artifacts. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Use replication across conditions to distinguish traits from measurement errors.
A clinical trial evaluated an antipsychotic medication hypothesized to reduce positive symptoms in schizophrenia by decreasing dopaminergic signaling at D2 receptors. Participants with schizophrenia (n = 40) received either the antipsychotic or placebo for 8 weeks. PET imaging estimated striatal D2 receptor occupancy (%), and positive symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS-Positive; higher = worse).
Results (mean):
- Antipsychotic: D2 occupancy = 72%; PANSS-Positive change = −9.5
- Placebo: D2 occupancy = 5%; PANSS-Positive change = −1.8 Within the antipsychotic group, higher D2 occupancy correlated with larger PANSS-Positive reductions ($r = -0.49$).
Which finding best supports the role of D2 receptor blockade in reducing positive symptoms?
Placebo participants show low D2 occupancy, proving that dopamine signaling is irrelevant to positive symptoms.
Negative symptoms improve more than positive symptoms, indicating D2 blockade primarily treats avolition rather than hallucinations.
Participants with the highest D2 occupancy show the smallest symptom reductions, indicating compensatory dopamine release worsens symptoms.
Symptom reductions track with D2 occupancy within the treated group, consistent with a dose-dependent relationship between receptor blockade and improvement.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of schizophrenia. The passage illustrates how dopaminergic signaling influences schizophrenia through D2 receptor blockade reducing positive symptoms in antipsychotic treatment. In the scenario, the antipsychotic group showed high D2 occupancy and greater PANSS-Positive reductions, with a correlation between occupancy and improvement. Choice B is correct because it aligns with the passage's depiction of D2 blockade impacting schizophrenia through a dose-dependent relationship with symptom reduction. Choice A is incorrect due to misapplication of occupancy effects, as higher occupancy correlated with better, not worse, outcomes. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Analyze within-group correlations to support mechanistic hypotheses.
Researchers investigated whether amygdala reactivity to threat cues is linked to generalized anxiety disorder (GAD). Adults with GAD (n = 22) and matched controls (n = 22) underwent fMRI during a task contrasting fearful vs neutral faces. Mean amygdala BOLD difference (fearful − neutral, arbitrary units) was higher in GAD ($0.62 \pm 0.18$) than controls ($0.39 \pm 0.16$). Across all participants, amygdala BOLD difference correlated with worry severity (Penn State Worry Questionnaire) ($r = 0.58$).
Which finding would best support a biological role for amygdala hyperreactivity in maintaining GAD symptoms rather than merely reflecting them?
Amygdala reactivity is higher during fearful faces than neutral faces in both GAD and control participants.
GAD participants report more daily stressors than controls, and stressor count correlates with worry severity.
Baseline amygdala reactivity predicts worry severity 6 months later after controlling for baseline worry, and higher baseline reactivity predicts poorer symptom improvement.
Worry severity correlates with self-reported sleep quality more strongly than with amygdala reactivity.
Explanation
This question assesses understanding of the biological bases of psychological disorders, specifically within the context of generalized anxiety disorder. The passage illustrates how amygdala reactivity influences generalized anxiety disorder through heightened responses to threat cues correlating with worry severity. In the scenario, GAD participants showed greater amygdala BOLD differences to fearful faces and a positive correlation with worry scores across all participants. Choice D is correct because it aligns with the passage's depiction of amygdala hyperreactivity impacting generalized anxiety disorder through predictive relationships with future symptoms, supporting a maintaining role. Choice B is incorrect due to misapplication of reactivity patterns, as it describes a general effect not specific to maintaining symptoms in GAD. When evaluating similar questions, ensure conclusions are directly backed by the passage data and avoid external assumptions. Prioritize longitudinal or causal evidence over cross-sectional correlations for mechanistic claims.