Intersecting Dimensions of Cognitive and Neuropsychiatric Symptoms: Embarking on a New Era of Clinical Neuropsychological Research

Incidence of post-stroke depression symptoms and potential risk factors in adults with aphasia in a comprehensive stroke center

INTRODUCTION

Depression may be a frequent sequela after stroke, however, its incidence has rarely been reported. The likelihood of post-stroke depression (PSD) may relate to individual factors including the presence of aphasia, which also complicates PSD diagnosis. The current study's purpose was to investigate the incidence of PSD symptoms in adults with aphasia, compare it to the incidence of PSD symptoms in adults without aphasia, and to identify potential risk factors for developing PSD in adults with aphasia.

METHOD

Incidence proportions and relative risk were calculated using data compiled from 970 patient records at an urban tertiary care academic institution and comprehensive stroke center throughout the year of 2019. Focusing exclusively on adults with aphasia, the selected variables of age, gender, race, and aphasia severity were used to conduct logistic regression analyses to explore potential risk factors contributing to the development of PSD.

RESULTS

Adults with aphasia were 7.408 times more likely to exhibit PSD symptoms than adults without aphasia. Logistic regression controlling for the presence of aphasia showed a significant relationship between aphasia severity and post-stroke depression symptoms. Adults with aphasia were 2.06 times more likely to experience post-stroke depression symptoms with every 1-point increase in aphasia severity.

CONCLUSIONS

These findings align with earlier evidence identifying aphasia as a risk factor for experiencing PSD symptoms and also suggest aphasia severity is proportionate to the risk. This highlights the need for early identification of PSD symptoms in persons with aphasia in order to provide timely interventions.

Orbitofrontal and Cingulate Thickness Asymmetry Associated with Depressive Symptom Dimensions

Both clinical depression and subthreshold depressive symptoms have been associated with alterations in cortical thickness. Studies have yielded conflicting results regarding whether cortical thinning or cortical thickening best characterize the depressive state. Also unclear is whether cortical thickness differences are lateralized. This study examined the relationship between depressive symptom dimensions and cortical thickness asymmetry in cingulate and orbitofrontal regions. Fifty-four community-dwelling adults between the ages of 18 and 81 years received a 3-Tesla magnetic resonance imaging scan and completed the Center for Epidemiologic Studies Depression Scale (CES-D). Cortical thickness values were extracted for the rostral anterior cingulate, caudal anterior cingulate, posterior cingulate, isthmus cingulate, and orbitofrontal cortex. An asymmetry index was calculated for each region. Data were analyzed using separate general linear models for each region, in which the CES-D somatic symptoms, negative affect, and anhedonia subscale scores predicted the asymmetry indices, controlling for age and sex. Higher scores on the anhedonia subscale were associated with right-sided asymmetry in orbitofrontal thickness, whereas higher somatic symptom subscale scores predicted greater left-sided asymmetry in posterior cingulate thickness. Follow-up analyses showed the orbitofrontal effect was specific to the medial, not the lateral, orbitofrontal cortex. These results suggest asymmetries in cortical thickness are apparent at even subthreshold levels of depressive symptoms, as all but five participants were below the CES-D cutoff for clinical depression, and that the relationship varies for different symptom dimensions of depression. Understanding brain asymmetries across the range of depressive symptom severity is important for informing targeted depression treatment.

The association between antidepressants use and development of cognitive impairment among older women diagnosed with breast cancer

PURPOSE

This study aimed to evaluate the association between the development of cognitive impairment and the use of antidepressants among older women with breast cancer.

METHODS

This retrospective cohort study used the United States National Cancer Institute's Surveillance, Epidemiology, and End Results-Medicare database to identify women who were 67 years old and older and had breast cancer between 2008 and 2013. Propensity scoring was used to account for confounding pre-treatment factors, and Cox proportional hazards modeling was used to examine the risk of developing cognitive impairment among patients based on whether they used antidepressants.

RESULTS

A total of 3174 women taking antidepressants (mean age 75.2 ± 6.4) were matched with 3174 women not taking antidepressants (mean age 75.4 ± 6.7). Antidepressant use was associated with a significantly increased risk of cognitive impairment (hazard ratio [HR]: 1.33, 95%; confidence interval [CI]: 1.18-1.48). Additionally, we found that older women without a history of depression or anxiety who use antidepressants have a higher risk of developing cognitive impairment than those who did not use antidepressants (HR: 1.53, 95%; CI: 1.34-1.75 and HR: 1.39, 95%; CI: 1.23-1.56, respectively). Subgroup analysis showed that the use of non-tricyclic antidepressants (TCAs) was associated with a higher risk of cognitive impairment.

CONCLUSION

We found that non-TCA antidepressant use in older women with breast cancer was associated with a higher risk of cognitive impairment. This association was also observed among older women without depression or anxiety who used antidepressants.