Determinants of Antidepressant Treatment and Outpatient Rehabilitation Within the First Year After Stroke.

This study aims to identify individual determinants of antidepressant treatment and outpatient rehabilitation after stroke. People with ischemic stroke (N = 303) recruited at 2 inpatient rehabilitation clinics were included into a prospective longitudinal study with follow-up telephone interviews 6 and 12 months later. Participants reported on their use of antidepressant medication and psychotherapy as well as physical, occupational, speech, and neuropsychological therapy. The use of antidepressants at discharge (n = 65, 23.8%) was predicted by the severity of depressive symptoms, severity of stroke, history of depression, and use of antidepressants at admission (all p < .05, R2= .55). The number of outpatient rehabilitation services used at follow-ups was predicted by higher functional and cognitive impairment, higher education, younger age, severity of depressive symptoms, and lower self-efficacy (all p < .05; R26M = .24, R212M = .49). The relevance of identified determinants for the improvement of treatment rates after stroke is discussed.

Too Much and Too Little: Antidepressant Treatment in Stroke Survivors during the First Year.

BACKGROUND: Post-stroke depression (PSD) is the most frequent mental illness after stroke, affecting about 30% of stroke survivors and hampering rehabilitation outcome. While current guidelines recommend monitored antidepressant treatment (ADT) in PSD, the limited precision between the use and need of ADT in clinical practice remains underassessed and poorly understood. METHODS: Depression according to DSM criteria and ADT was assessed in n = 294 stroke survivors from two German rehabilitation centers about one, six, and twelve months after stroke. At each measurement occasion, PSD and current use of ADT was assessed, leading to four subgroups: PSD (yes/no) and ADT (yes/no). Frequencies of ADT and PSD were examined and analyzed with regard to depression severity (minor/major). Intra-individual trajectories were used to assess the persistence in ADT over- and undertreatment from a longitudinal perspective. RESULTS: After one, 6 and 12 months, 36.7%, 31.1% and 25.5% of stroke survivors fulfilled the criteria for depression. Across all measurement occasions, 53% of depressed stroke survivors did not receive ADT, while 12% of the non-depressed did. ADT between stroke survivors with major or minor depression differed at baseline but not thereafter. Between 15-40% of the depressed without ADT experienced persisting undertreatment and 25-50% the non-depressed with ADT had not fulfilled depression criteria at an earlier time point. CONCLUSIONS: Depression occurred in one in three stroke survivors. Among these, only one in two received ADT, irrespective of PSD severity after discharge. In contrast, one in eight stroke survivors without depressive disorder received ADT, about half of them in the absence of earlier PSD. In conclusion, we found evidence of both under- and overtreatment of PSD with ADT, which emphasizes the need for a more stringent implementation of current PSD guideline recommendations.

Managing depressive symptoms in people with mild cognitive impairment and mild dementia with a multicomponent psychotherapy intervention: a randomized controlled trial.

OBJECTIVE: To evaluate the feasibility and effectiveness of the CORDIAL program, a psychosocial intervention consisting of cognitive behavioral therapy (CBT), cognitive rehabilitation, and reminiscence to manage depressive symptoms for people with mild cognitive impairment (MCI) or dementia. DESIGN: We conducted a randomized controlled trial, based on a two-group (intervention and control), pre-/post-intervention design. SETTING: Participants were recruited from five different old age psychiatry and memory clinics at outpatients' hospitals. PARTICIPANTS: Hundred and ninety-eight people with MCI or early-stage dementia were included. INTERVENTION: The intervention group (n = 100) received 11 individual weekly sessions of the CORDIAL program. This intervention includes elements from CBT, cognitive rehabilitation, and reminiscence therapy. The control group (n = 98) received treatment-as-usual. MEASUREMENTS: We assessed Montgomery-Åsberg Depression Rating Scale (MADRS) (main outcome), Neuropsychiatric Inventory Questionnaire, and Quality of Life in Alzheimer's disease (secondary outcomes) over the course of 4 months and at a 10-month follow-up visit. RESULTS: A linear mixed model demonstrated that the depressive symptoms assessed by MADRS were significantly more reduced in the intervention groups as compared to the control group (p < 0.001). The effect persisted for 6 months after the intervention. No significant differences between groups were found in neuropsychiatric symptoms or quality of life. CONCLUSION: Our multicomponent intervention, which comprised 11 individual sessions of CBT, cognitive rehabilitation, and reminiscence therapy, reduced depressive symptoms in people with MCI and dementia.

Gender differences in post-stroke depression: A longitudinal analysis of prevalence, persistence and predictive value of known risk factors.

Post-stroke depression (PSD) is the most frequent psychiatric condition after stroke with a prevalence of approximately 33%. In the general population, depression is consistently reported to be more frequent in women than in men. Evidence about gender differences in PSD remains inconclusive and it is unknown if established risk factors exert gender-specific influence. The authors examined gender differences in PSD prevalence, persistence and influence of established risk factors using χ 2- and Welch's t-tests and continuous-time structural equation modelling (CT-SEM). Patients (N = 301) from the longitudinal Berlin-PSD-study were assessed six weeks (baseline), and up to four times during the first 2.5 years post-stroke using DSM-5 depression criteria and the Geriatric Depression Scale (GDS). Established risk factors were assessed at baseline. Women showed higher PSD prevalence and severity at baseline (p < .01) but not thereafter (p ≥ .43). CT-SEM analysis revealed that known risk factors predicted depression, yet predictive value and persistence did not differ between genders. Our results showed that established PSD risk factors influence both genders to a similar extent and that in contrast to depression in the general population, gender differences in PSD prevalence and severity disappeared within six months post-stroke. Thus, for reasons yet to be deciphered, gender differences in PSD appear to be time-dependent after stroke.

General self-efficacy as a driving factor of post-stroke depression: A longitudinal study.

Post-stroke depression (PSD) is the most common psychiatric condition after stroke, affecting one third of survivors. Despite identification of meaningful predictors, knowledge about the interplay between these factors remains fragmentary. General self-efficacy (GSE) is closely linked to PSD, yet direction and magnitude of this relationship remains unclear. The authors assessed the relationship between GSE and depression during the first two years post-stroke while controlling for stable inter-individual differences using continuous time (CT) structural equation modelling (SEM). Patients of two German rehabilitation centres (N = 294, mean age = 63.78 years, SD = 10.83) were assessed six weeks after ischemic stroke and at four follow-ups covering two years. GSE Scale and Geriatric Depression Scale (GDS) were used to assess GSE and depression. CT-analysis revealed significantly higher within-person cross-effects of GSE on GDS (a21 = -.29) than vice versa (a12 = -.17). Maximal cross-lagged effects emerged six months post-stroke. Our results show that decreasing GSE led to increasing depressiveness, and only to a smaller extent vice versa. This suggests that fostering GSE by strengthening perceived control after stroke can counter PSD emersion and exacerbation. Six months post-stroke, when patients face social re-integration, programmes focusing on GSE could potentially help to prevent later PSD.

Comparison of Treatment Rates of Depression After Stroke Versus Myocardial Infarction: A Systematic Review and Meta-Analysis of Observational Data.

OBJECTIVE: Depression after stroke and myocardial infarction (MI) is common but often assumed to be undertreated without reliable evidence being available. Thus, we aimed to determine treatment rates and investigate the application of guidelines in these conditions. METHODS: Databases MEDLINE, EMBASE, PsycInfo, Web of Science, CINAHL, and Scopus were systematically searched without language restriction from inception to June 30, 2017. Prospective observational studies with consecutive recruitment reporting any antidepressant treatment in adults with depression after stroke or MI were included. Random-effects models were used to calculate pooled estimates of treatment rates. RESULTS: Fifty-five studies reported 32 stroke cohorts (n = 8938; pooled frequency of depression = 34%, 95% confidence interval [CI] = 29%-38%) and 17 MI cohorts (n = 10,767; pooled frequency of depression = 24%, 95% CI = 20%-28%). In 29 stroke cohorts, 24% (95% CI = 20%-27%) of 2280 depressed people used antidepressant medication. In 15 MI cohorts, 14% (95% CI = 8%-19%) of 2381 depressed people used antidepressant medication indicating a lower treatment rate than in stroke. Two studies reported use of psychosocial interventions, indicating that less than 10% of participants were treated. CONCLUSIONS: Despite the high frequency of depression after stroke and MI and the existence of efficacious treatment strategies, people often remain untreated. Innovative strategies are needed to increase the use of effective antidepressive interventions in patients with cardiovascular disease.

ERP evidence for own-age effects on late stages of processing sad faces.

Faces convey important information on interaction partners, such as their emotional state and age. Faces of the same age are, according to recent research, preferentially processed. The aim of the present study was to investigate whether the neural processes underlying this own-age effect are influenced by the emotional expression of the face, and to explore possible explanations such as the frequency or quality of contact to own-age versus other-age groups. Event-related potentials were recorded while 19 younger (18-30 years) and 19 older (64-86 years) observers watched younger and older sad and happy faces. Sad but not happy faces elicited higher late positive potential amplitudes for own-age than for other-age faces. This own-age effect was significant for older, but not for younger, observers, and correlated with the quality of contact with the own-age versus the other-age group. This pattern suggests that sad own-age faces are motivationally more relevant.

Manual-based cognitive behavioral and cognitive rehabilitation therapy for young-onset dementia: a case report.

There is a growing attention worldwide to young-onset dementia (YOD) and this group's special challenges and needs. The literature on psychosocial interventions for this population is scarce, and little is known about the specific challenges and benefits of working therapeutically with this group of patients. The aim of this study was to explore if a manual-based structured cognitive behavioral/cognitive rehabilitation program would be beneficial for these patients. One case, a 63-year-old woman with YOD, is presented to illustrate how this intervention can be applied to individual patients to manage depressive symptoms in YOD.

Latent change score modeling as a method for analyzing the antidepressant effect of a psychosocial intervention in Alzheimer's disease.

BACKGROUND: Developing and evaluating interventions for patients with age-associated disorders is a rising field in psychotherapy research. Its methodological challenges include the high between-subject variability and the wealth of influencing factors associated with longer lifetime. Latent change score modeling (LCSM), a technique based on structural equation modeling, may be well suited to analyzing longitudinal data sets obtained in clinical trials. Here, we used LCSM to evaluate the antidepressant effect of a combined cognitive behavioral/cognitive rehabilitation (CB/CR) intervention in Alzheimer's disease (AD). METHODS: LCSM was applied to predict the change in depressive symptoms from baseline as an outcome of the CORDIAL study, a randomized controlled trial involving 201 patients with mild AD. The participants underwent either the CORDIAL CB/CR program or standard treatment. Using LCSM, the model best predicting changes in Geriatric Depression Scale scores was determined based on this data set. RESULTS: The best fit was achieved by a model predicting a decline in depressive symptoms between before and after testing. Assignment to the intervention group as well as female gender revealed significant effects in model fit indices, which remained stable at 6- and 12-month follow-up examinations. The pre-post effect was pronounced for patients with clinically relevant depressive symptoms at baseline. CONCLUSIONS: LCSM confirmed the antidepressant effect of the CORDIAL therapy program, which was limited to women. The effect was pronounced in patients with clinically relevant depressive symptoms at baseline. Methodologically, LCSM appears well suited to analyzing longitudinal data from clinical trials in aged populations, by accounting for the high between-subject variability and providing information on the differential indication of the probed intervention.

A Two-Phase Pathogenetic Model of Depression after Stroke.

Depression is among the major long-term complications of cerebral stroke. Occurring in about 30% of all stroke survivors, 'poststroke depression' (PSD) is known to be associated with prolonged recovery, reduced quality of life, and increased mortality. Research over the past 25 years has enlarged our knowledge about organic and psychosocial risk factors, but their interaction is still unclear. In this paper, we start by reviewing and discussing pathogenetic PSD models that were proposed in the 1980s and 1990s. Based on these earlier approaches and on longitudinal research published since that time, a biphasic model is proposed that reflects the current knowledge on the emergence of PSD. The model integrates premorbid, stroke-related and psychosocial risk factors contributing to the emergence of PSD within the first 2 years after stroke. The distinction between 'reactive' and 'organic' PSD has been dropped, and groups of well-documented predictors are recommended for future research. Finally, we will outline possible implications of the model for prevention and therapy.

Psychosocial interventions in Alzheimer's disease and amnestic mild cognitive impairment: evidence for gender bias in clinical trials.

BACKGROUND: Alzheimer's disease (AD) affects twice as many women as men. Gender differences in symptom profile, living conditions, coping style and response might affect the outcome of psychosocial interventions (PSIs). OBJECTIVES: Our aim was to review gender differences in the available high-quality phase III trials on PSI in AD and amnestic mild cognitive impairment (aMCI) by considering the gender ratio in the investigated samples. DESIGN: Randomized controlled trials published in 2000-2012 were stepwise analyzed by statistically testing the representativeness of the gender ratio and examining reported gender differences. RESULTS: Forty-five studies (62% of 73 studies) reported gender ratios for each subsample and were included. In these studies, females were underrepresented in the control groups. In the 14 studies (19%) reporting analyses of gender differences, women were underrepresented in both intervention and control groups. However, in the six studies (8%) reporting significant gender differences in outcome, gender distribution was in accordance with prevalence rates. CONCLUSION: Current evidence is insufficient for reliable conclusions on gender differences in PSI outcome in AD and aMCI, as 81% of the available clinical trials either not reported the gender ratio of their samples, or underrepresent females. Further research is needed addressing gender differences, and clinical trials should routinely control for gender bias.

Return to work and depressive symptoms in young stroke survivors after six and twelve months: cross-sectional and longitudinal analyses.

BACKGROUND: While depression after stroke is common and stroke prevalence globally increases in working age populations, the role of return-to-work (RTW) in the pathogenesis of post-stroke depression (PSD) remains unclear. This study examined if RTW is linked to PSD within the first year after ischemic stroke, independently from established risk factors. METHOD: Stroke survivors (n = 176) in their working age (<65 years) recruited from two rehabilitation clinics were assessed for established risk factors: pre-stroke depression, activities of daily living, stroke severity, cognitive impairment, and social support. RTW and depressive symptoms (Geriatric Depression Scale: GDS-15) were assessed six- and twelve-months post-stroke. Multivariate regression analyses were used to assess the cross-sectional and longitudinal relationship between RTW and GDS-15, while controlling for established PSD risk factors. RESULTS: Successful RTW was independently associated with lower GDS-15 at both measurement occasions (p < .05), next to the absence of pre-stroke depression and higher social support. Stroke severity predicted GDS-15 at twelve months. The predictive value of six-months RTW for subsequent depressive symptoms beyond the influence of established risk factors was ß = -1.73 (p = .09). DISCUSSION: RTW was independently associated with PSD in young stroke survivors within the first-year post-stroke, and exerted a (marginally significant) effect on subsequent depression. Our study highlights the relevance of RTW for young stroke survivors' PSD, beyond the influence of established risk factors. Further assessments examining to what extent fostering RTW contributes to mental well-being after stroke might be promising for PSD prevention, next to evident beneficial economic effects.

Predictors of post-stroke depression: Validation of established risk factors and introduction of a dynamic perspective in two longitudinal studies.

Introduction: Cerebral insults lead in many cases not only to cognitive impairment but also to disturbed emotionality. After stroke, one in three survivors develops a depression which impacts quality of life and rehabilitation. Meta-analyses have identified five main predictors of post-stroke depression (PSD): history of mental disorder, stroke severity, physical disability, cognitive impairment, and social support. However, these five established variables have never been conjointly investigated in a sample of stroke survivors. Therefore, their independent predictive values remain unclear. Moreover, predictors are most often used as time-invariant factors (status scores), neglecting the intraindividual dynamics after stroke. Methods: Our study analyses the data of two prospective longitudinal studies, investigating stroke survivors from two rehabilitation hospitals (N 1 = 273) and one acute care hospital (N 2 = 226). Baseline assessments included the five established predictors and depressive symptoms. After 6 months, depressive symptoms were reassessed in both studies (n 1 = 176, n 2 = 183), and physical disability and social support were reassessed in study 2. The predictivity of the five predictors and the additional predictivity of intraindividual dynamics for PSD were examined in multiple linear regression analyses. Results: History of mental disorder was a risk factor for depressive symptoms after stroke at all measurement times (B = 3.32 to 3.97; p < 0.01). Physical disability was a risk factor at all measurement times (B = -0.09 to -0.03; p < 0.05) except 6 months after rehabilitation. Social support was a protective factor (B = -2.69 to -1.91; p < 0.01) outside the acute phase (R 2 = 0.15-0.39). Intraindividual changes in physical disability and perceived social support were independent predictors of PSD 6 months after the acute phase (B = -0.08/-0.14; p < 0.01), in addition to status scores on established variables (ΔR 2 = 0.08, p < 0.001). Discussion: History of mental disorder, physical disability, and social support are independent predictors of depressive symptoms in the first year post-stroke, also when considered conjointly. Future studies should control for these variables when investigating new predictors of PSD. In addition, intraindividual changes in known predictors after stroke play a relevant role in the pathogenesis of PSD and should be considered in clinical practice and future research.

Integrative-interpersonal dynamic therapy for poststroke depression (INID): study protocol of a randomised controlled pilot trial.

INTRODUCTION: Depression is the most frequent psychiatric disorder following stroke, affecting about one-third of stroke survivors. Patients experience poorer recovery, lower quality of life and higher mortality compared with stroke survivors without depression. Despite these well-known malign consequences, poststroke depression (PSD) is regarded underdiagnosed and undertreated. Evidence of beneficial effects of psychotherapy to treat PSD remains scarce and inconclusive and is limited by heterogeneity in design, content and timing of the intervention. This pilot study aims to assess the feasibility of a newly developed integrative-interpersonal dynamic PSD intervention in an outpatient setting and provide a first estimation of the potential effect size as basis for the sample size estimation for a subsequent definite trial. METHOD AND ANALYSIS: Patients will be recruited from two German stroke units. After discharge from inpatient rehabilitation, depressed stroke survivors will be randomised to short-term psychotherapy (12 weeks, ≤16 sessions) or enhanced treatment as usual. The manualised psychotherapy integrates key features of the Unified Psychodynamic and Cognitive-Behavioural Unified Protocol for emotional disorders and was adapted for PSD. Primary endpoints are recruitment feasibility and treatment acceptability, defined as a recruitment rate of ≥20% for eligible patients consenting to randomisation and ≥70% completion-rate of patients participating in the treatment condition. A preliminary estimation of the treatment effect based on the mean difference in Patient Health Questionnaire-9 (PHQ-9) scores between intervention and control group six months poststroke is calculated. Secondary endpoints include changes in depression (PHQ-9/Hamilton Depression Scale) and anxiety (Generalised Anxiety Disorder 7) of all participants across all follow-ups during the first year poststroke. ETHICS AND DISSEMINATION: The INID pilot study received full ethical approval (S-321/2019; 2022-2286_1). Trial results will be published in a peer-reviewed journal in the first half of 2025. One-year follow-ups are planned to be carried out until summer 2025. TRIAL REGISTRATION NUMBER: DRKS00030378.

CORDIAL: cognitive rehabilitation and cognitive-behavioral treatment for early dementia in Alzheimer disease: a multicenter, randomized, controlled trial.

Cognitive rehabilitation (CR) is a promising treatment approach for older adults with dementia because it aims at supporting the management of day-to-day problems. There is insufficient evidence regarding whether CR provides clinically meaningful benefits. In this study, we evaluated the feasibility, acceptance, efficacy, and usefulness of a CR intervention in a multicenter, randomized, controlled trial on 201 patients with mild dementia in Alzheimer disease and their carers. The intervention comprised 12 individual weekly sessions and combined 4 established strategies adopted from neurorehabilitation and psychotherapy. Activities of daily living were chosen as the primary outcome. The results show that the feasibility, treatment adherence, and carer commitment were excellent. However, no effect of the intervention was demonstrable on everyday functioning. There were improvements favoring the intervention on quality of life and treatment satisfaction and a significant antidepressant effect in female participants. The lack of impact on everyday activities may be due to methodological limitations including insufficient personalization, short treatment duration, poor transfer into the real-life setting, and low sensitivity of assessment instruments. The findings of this study may be helpful for designing further studies that are needed to determine the potential of CR in older adults with dementia.

The Post-Stroke Depression Risk Scale (PoStDeRiS): Development of an Acute-Phase Prediction Model for Depression 6 Months After Stroke.

BACKGROUND: Depression after stroke is common but often undertreated as increasing depression prevalence and decreasing health care contacts diverge after the event. OBJECTIVE: To develop an acute-phase prediction scale for prognosis of depression 6 months after stroke. METHODS: Participants (N = 226) were consecutively recruited and assessed within the first week after ischemic stroke for history of depression, stroke severity (National Institutes of Health Stroke Scale), and functional independence (Barthel Index). Early depressive symptoms were self-reported via the Patient Health Questionnaire-2 and external-rated by nurses via the Signs of Depression Scale. Six months later, 183 participants were assessed for Diagnostic and Statistical Manual of Mental Disorders, 5th edition diagnosis of depression. Significant predictors of depression were identified in multivariate logistic regression analysis and their coefficients transformed into a risk scale. Measurement precision was identified using receiver operating characteristic curve analysis. RESULTS: Depression was diagnosed in 32 (17.5%) participants 6 months after stroke. History of depression, the Barthel Index, and the Patient Health Questionnaire-2 were significant predictors of depression. Transformation of the coefficients yielded the Post-Stroke Depression Risk Scale that demonstrated good discrimination (area under the receiver operating characteristic curve = 0.84; 95% confidence interval = 0.78/0.90). The optimum cutoff showed a sensitivity of 0.81, a specificity of 0.72, a positive predictive value of 0.38, and a negative predictive value of 0.95. CONCLUSIONS: The Post-Stroke Depression Risk Scale accurately identifies people in the acute phase with low risk of depression 6 months later. While the sensitivity indicates that recognition of people with later depression is adequate, positive results in the acute phase show low predictivity. Clinical and methodological reasons for these results as well as implications for future research to increase case-finding ability are discussed.

Age differences in valence judgments of emotional faces: the influence of personality traits and current mood.

Previous research on emotion processing revealed a positivity bias that progressively evolves across the adult age range. This study obtained gradual valence judgments of emotional faces across the adult age span, to see whether this positivity bias persists when positive and negative stimuli are matched for arousal; and whether bias relates to personality traits or to current mood. With increasing age subjects judged negative and neutral faces less negatively. Further, younger participants scoring high in "agreeableness" and "conscientiousness" scales showed a positivity bias when judging positive faces, suggesting an association of the positivity effect with trait variables.

Awareness of memory failures and motivation for cognitive training in mild cognitive impairment.

BACKGROUND: Awareness of cognitive deficits is considered to be decisive for the effectiveness of cognitive training in mild cognitive impairment (MCI). However, it is unclear in what way awareness influences motivation to participate in cognitive training. METHODS: Thirty-two elderly adults with MCI and 72 controls completed the 5-scale Memory Functioning Questionnaire (MFQ) and a motivation questionnaire. The predictive value of the MFQ scales on motivation was analyzed using regression analysis. RESULTS: In the MCI group, but not in controls, higher perceived frequency of memory failures was associated with a lower motivation score. CONCLUSION: Our findings indicate that, in MCI, greater awareness of cognitive deficits does not necessarily increase motivation to participate in cognitive trainings, and suggest that success expectancy may be a moderating factor.

Impaired self-initiated task preparation during task switching in Parkinson's disease.

Patients with Parkinson's disease (PD) typically show reduced performance in clinical tests involving cognitive control processes, presumably due to reduced availability of dopamine in striatofrontal neuronal circuits. Although task switching paradigms are considered as an ideal experimental measure of cognitive control, previous studies on task switching in PD have yielded ambiguous results, indicating that performance deficits depend on the specific task requirements. Among these, the aspect of self-initiated as opposed to externally triggered task preparation seems to play an important role, as evidenced by recent research. To address this topic, the present study investigated PD patients and age-matched controls (n=16) with a sequential switching task in which the upcoming task was predicted by two different types of cues. Firstly, every task was predicted by an external visual cue of varying utility (long versus short precuing interval). Additionally, the tasks were predictable on the basis of a fixed task sequence (AABB), which placed relatively higher demands on self-initiated task preparation. After considerable practice, the sequence was changed to random. Increased reaction times following sequence removal indicated prior use of the sequence in both groups. However, in contrast to healthy age-matched controls, PD patients did not learn to use the predictable task sequence to a greater extent when the utility of the visual task cue was low due to a short precuing interval. This finding is interpreted as evidence for a specific impairment in self-initiated as opposed to externally triggered task preparation.

Are faces special in Alzheimer's disease? Cognitive conceptualisation, neural correlates, and diagnostic relevance of impaired memory for faces and names.

Memory for faces and names has increasingly become a focus of cognitive assessment and research in Alzheimer's disease (AD). This paper reviews evidence from cognitive and clinical neuroscience regarding the question of whether AD is associated with a specific deficit in face recognition, face-name association, and retrieval of semantic information and names. Cognitive approaches conceptualizing face recognition and face-name association have revealed that, compared to other types of visual stimuli, faces are "special" because of their complexity and high intraclass similarity, and because their association with proper names is arbitrary and unique. Neuroimaging has revealed that due to this particular status, face perception requires a complex interplay of highly specialized secondary visual areas located in the occipitotemporal cortex with a widely distributed system of cortical areas subserving further task-dependent processing. Our review of clinical research suggests that AD-related deficits in face recognition are primarily due to mnestic rather than perceptual deficits. Memory for previously studied or famous faces is closely related to mediotemporal and temporocortical brain regions subserving episodic and semantic memory in general, suggesting that AD-related impairments in this domain are due to neural degeneration in these areas. Despite limited specificity due to the apparent absence of a "genuine" domain-specific deficit of face memory in AD, testing memory for faces and names is useful in clinical contexts, as it provides highly sensitive indices of episodic and semantic memory performance. Therefore, clinical assessment of face memory can usefully contribute to early detection of memory deficits in prodromal and initial stages of AD, and represents a basis for further attempts at rehabilitation. Further advantages, such as ecological validity, high task comprehensibility and, in the case of novel face learning, independence from premorbid intelligence level, render measures of face recognition valuable for clinical assessment in early AD.