Selective Impairment of Processing Task-Irrelevant Emotional Faces in Cerebral Small Vessel Disease Patients.

BACKGROUND: Few reports have implied electrophysiological alterations and neurocognitive abnormalities in patients with cerebral small vessel disease (CSVD), while no investigation is available regarding emotional processing. In the present study, pre-attentive processing of facial expressions was compared between CSVD sufferers and healthy controls using expression-related visual mismatch negativity (EMMN) as the indicator.
METHODS: A total of 22 CSVD patients (12 males) and 21 age-matched healthy controls (12 males) were recruited for neuropsychological and emotional assessments, as well as electroencephalogram recording and analysis. We employed an expression-related oddball paradigm to investigate automatic emotional processing, and a series of schematic emotional faces (neutral, happy, sad) unrelated to subject's task were present in the test to avoid low-level processing of facial features.
RESULTS: Although the distinctions of neuropsychological (MoCA and MMSE), emotional (GAD-7 and PHQ-9) and behavioral parameters (reaction time to target stimuli and response accuracy) did not reach significant levels, mean amplitudes of sad EMMN in time intervals of 150-250 ms and 250-350 ms were remarkably reduced in CSVD patients compared with healthy controls, but not for happy EMMN. Furthermore, in the control group, sad EMMN was demonstrated to be larger (more negative) than happy EMMN, while this interesting phenomenon disappeared in the CSVD group.
CONCLUSION: Our findings confirmed selective impairment of processing expressions which were task-irrelevant in CSVD patients, without the existence of negative bias (sad superiority) effect. The efficacy of EMMN as an electrophysiological evaluation marker of CSVD should be taken into account in future investigations.

Introduction

Cerebral small vessel disease (CSVD) refers to a spectrum of disorders in which pathological alterations mainly involve small blood vessels in the brain, including small arteries, arterioles, venules and capillaries.1 Its diagnosis predominantly depends on magnetic resonance imaging (MRI), with recent small subcortical infarcts, lacunes, white matter hyperintensities, microbleeds, enlarged perivascular spaces and brain atrophy considered as typical manifestations.2 Causing about 20% of strokes worldwide, CSVD is an important precipitant of cognitive impairment, including abnormalities of attention, executive function and information processing speed, which eventually develop into vascular dementia.3 Nevertheless, insufficient attention has been paid to early diagnosis and intervention of cognitive dysfunction for CSVD patients in clinical practice. Subjective complaints and neuropsychological assessment scales, such as Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), are commonly used in cognitive evaluation and cohort study,4,5 while several subdomains (eg, emotional processing) cannot be detected by these tests, leading to rather limited sensitivity and specificity. Up to date, various attractive electrophysiological techniques are emerging, among which event-related potential (ERP) has been increasingly applied in neurological diseases,6,7 whereas few reports are available regarding CSVD.8 ERP is a specific evoked potential that reflects electrical activity of neurocognitive processing and function of specific brain regions. Owing to advantages of objectivity, noninvasiveness and high spatiotemporal resolution, it can be used to explore visual spatial attention, emotional information processing and other cognitive domains,9 which is appropriate for cognitive assessment in CSVD sufferers.

Emotional processing is a high-level cognitive procedure, which plays pivotal roles in interpersonal communication. Regarded as fundamental and necessary emotional stimuli, facial expressions transmit social information and individual’s mood and are generally processed at pre-attentive stage.10 However, there is no investigation considering processing of emotional information in CSVD patients, which needs to be further illuminated.

Mismatch negativity (MMN), an extensively studied ERP component, is considered to be elicited when deviant (infrequent) stimuli are inserted in a series of standard (frequent) stimuli and violations of sequential repetition occur. Therefore, this endogenous component reflects differences between deviant and standard stimuli, and is employed as an electrophysiological index for automatic change detection and pre-attentive processing of surrounding information.11 In addition to well-documented auditory MMN, a piece of evidence has confirmed existence of its visual analogue using corresponding modalities,12,13 which can be obtained by visual physical stimuli, such as color14 and orientation.15

Moreover, biologically relevant facial expressions also elicited visual MMN.16–19 Zhao and Li found a right-posterior expression-related visual MMN (EMMN) via an oddball paradigm of task-irrelevant emotional faces, and amplitude is observed larger for sad expressions compared with happy expressions.16 In another research, EMMN component was obtained by the usage of non-oddball sequence, with fearful and happy facial expressions served as stimuli.17 Instead of single models, additional studies indicated more reliable EMMN employing various facial models.18,19 Thus, EMMN is thought to reflect automatic processing of emotional information, and this reliable biomarker has been applied to investigate neurological and psychiatric disorders, for instance, migraine20 and depression.19

To the best of our knowledge, the possibility of impairment in pre-attentive emotional processing for CSVD has not been verified, which will be investigated in this study. Using an oddball paradigm of schematic faces containing neutral, happy and sad expressions, we aimed to evaluate automatic processing of emotional information in CSVD sufferers by EMMN recording, measurement and analysis, together with exploring potential correlations between electrophysiological data and clinical variables. We hypothesized that CSVD patients suffered from dysfunction in processing facial expressions at pre-attentive stage.

Materials and Methods

Subjects and Criteria

In this study, a total of 30 inpatients and outpatients with CSVD (16 males) were recruited from Shandong Provincial Hospital Affiliated to Shandong First Medical University, and 28 healthy controls (14 males) without systemic and neurological disorders were recruited from the local community and hospital staff. All participants underwent necessary physical examination, magnetic resonance imaging (MRI) and standardized questionnaire, then demographic and clinical characteristics of patients were collected and analyzed, such as age, gender, education, body mass index (BMI), hypertension, diabetes mellitus and hyperlipidemia.

For CSVD patients, the inclusion criteria were: 1) typical imaging features on MRI, including lacunar cerebral infarction, white matter hyperintensity, microbleed, dilated perivascular space and brain atrophy, which met the diagnostic criteria of CSVD proposed by Wardlaw et al2 2) aged 18 years or above; 3) clear consciousness, stable condition and satisfying cooperation throughout the test. The exclusion criteria were: 1) intracranial hemorrhage; 2) acute or history of ischemic infarction with diameter > 15 mm or cardiogenic infarction; 3) cerebral or coronary macrovascular stenosis, such as carotid artery stenosis (> 75%); 4) abnormal findings on brain morphology caused by cerebral trauma, CO poisoning or other disorders; 5) comorbid with other neurological diseases, such as Alzheimer’s disease and epilepsy; 6) suffering from systemic disorders, such as cancer and hyperthyroidism; 7) poor vision, hearing or illiterate; 8) cognitive impairment or dementia caused by anxiety, depression or other diseases. In addition, all participants were verified to be right-handed and had no significant motor or sensory dysfunction.

Furthermore 8 CSVD patients (4 males) were excluded—three for excessive electromyographic and blink interferences caused by poor cooperation, three for technical problems during recording and two for incomplete or missing clinical data. So 22 patients with CSVD (12 males) were eventually included. In terms of controls, 7 subjects (2 males) had to be excluded. Three for lack of neuropsychological or emotional assessments and four for conspicuous blink and drift artifacts within electroencephalogram (EEG) data. Therefore, we included a total of 21 healthy controls (12 males) for further analysis.

The investigation protocol was approved by the Ethical Committee of Shandong Provincial Hospital Affiliated to Shandong First Medical University (SWYX: NO.2020-232), which was conducted in conformity to the principles and guidelines set out in Declaration of Helsinki. All subjects gave their written informed consent voluntarily before commencement of the examination.

Neuropsychological and Emotional Evaluations

Regarded as the most common and standardized screening tools, the Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scales were employed by specialized neuropsychologists to assess cognitive function of subjects,21,22 including multi-domain (attention, language, memory, execution, calculation, orientation and visuospatial function) and general cognition. In our investigation, these two examinations were performed on the same day with an interval of at least 3 h, and responses were summed to obtain total scores, with MMSE < 27 and/or MoCA < 26 considered to be cognitive impairment.

Emotional state was evaluated with The Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) scales as described in previous literatures.23,24 Briefly, all participants were invited to respond to 7 and 9 items of questions in accordance with their experience during the last two weeks, and responses were rated on a four-point scale, ranging from 0 (“never”) to 3 (“almost every day”). The total scores of aforementioned scales were summed and calculated, then cutoff scores were both set at 4 to detect anxiety and depression in CSVD patients, respectively.

Stimuli, Paradigm and Experimental Procedure

As demonstrated in Figures 1, 54 schematic faces with neutral, happy and sad expressions were presented in a computer screen (23 inches). For the purpose of avoiding low-level processing of facial features, each type of expression comprised 18 different facial models, which were displayed by adjusting the distance between facial features and the shape of facial features, especially the mouths,20 The durations of each stimulus and inter-stimulus interval (offset-to-onset) lasted for 150 ms and 450 ms respectively, while the visual angle was set at 3.8° × 4.0° with a viewing distance of 70 cm.

Figure 1

Schematic illustrations of stimuli. Examples of distinct standard stimuli (neutral faces) and deviant stimuli (happy and sad faces) mediated by changing the distance between facial features and the shape of facial features, as well as fixation crosses.

The expression-related oddball paradigm (Figure 2) was applied in this experiment. Distinct schematic facial expressions appeared on the left and right sides of a fixation cross (“+”) throughout the examination, of which neutral faces were used as standard stimuli, whereas happy and sad faces acted as deviant stimuli. This paradigm was composed of three separate sequences, each containing 211 stimuli in total (standard: 151 neutral faces, p = 0.72; deviant: 30 happy and 30 sad faces, both p = 0.14) and was displayed in a pseudo-random order, with 10 neutral faces appearing at the beginning of each sequence and no less than two standards between consecutive deviants. The target stimuli were defined as enlarged fixation crosses (“+”) presented in the central visual field, which were completely irrelevant to alteration in facial expressions.

Figure 2

Schematic illustration of expression-related oddball paradigm. Each stimulus was displayed for 150 ms, and the inter-stimulus interval was fixed at 450 ms.

All subjects sat comfortably in an armchair in an electrically shielded and quiet experimental chamber, and were instructed to keep their eyes on a fixation cross in the center of monitor placed in front of them. Before formal test, they were trained via three practice runs and were informed to minimize blink and body movements. In this task, participants were directed to press a button (“/”) as quickly and accurately as possible when observing crosses with larger sizes, while ignoring facial stimuli in the periphery of monitor. The response accuracy and reaction time were recorded and analyzed.

Recording and Analysis of EEG Signals

EEG signals of participants were continuously recorded with Ag-AgCl active electrodes placed based on the 10–20 international system using Neurolab EEG/ERPs 32 Channel Amplifier (ANT Neuro, Netherland). The sampling rate, hardware high pass filter and low pass filter of recording were set at 1000 Hz, 0.05 Hz and 100 Hz, respectively, and all signals were referenced to Fpz electrode. Additionally, eye movements and electrooculogram (EOG) were recorded via two pairs of electrodes placed above and below the right eye and 10 mm from the outer canthi. Electrode impedance was kept below 5 kΩ throughout the experiment.

We employed ASA 4.9.3 software to analyze EEG data. EOG artefacts were removed using independent component analysis (ICA) method,25 and digital filtering was performed with a 0.1–30 Hz (24 dB/octave) bandpass filter. Afterwards, EEG signals were segmented into a 600 ms epoch–from 100 ms pre-stimulus to 500 ms post-stimulus, and baseline corrections were conducted at 100 ms interval prior to stimuli. Segments contaminated with target stimulus (unpredictable enlargement of the fixation cross) responses, electromyographic artefacts or peak-to-peak deflection more than ±100 μV amplitude at any electrode were excluded from averaging. EEG segments of standard and deviant stimuli were averaged separately, and group-averaged waveforms were generated by single-subject waveforms for further analysis.

As shown in Figure 3, all facial stimuli elicited well-marked P1 and N170 components in both groups. Moreover, two types of EMMN components, ie happy EMMN (happy minus neutral) and sad EMMN (sad minus neutral), were obtained by subtracting ERPs in response to standard stimuli (neutral faces) from those in response to deviant stimuli (happy and sad faces), respectively (see Figure 4). The mean amplitudes of EMMN were measured within two time windows–150-250 ms as early EMMN and 250–350 ms as late EMMN. In line with our previous investigation20 and limited by the 32-site montage, only subset of electrode sites were used to analyze EMMN amplitudes, including lateral sites P7 and P8, more medially at O1 and O2, and left (M1) and right mastoids (M2).

Figure 3

The grand-averaged ERP waveforms at P7/P8 sites for neutral (black), happy (blue) and sad expressions (red line) in CSVD patients and healthy controls, respectively.

Figure 4

The grand-averaged EMMN waveforms at P7/P8 and O1/O2 sites in CSVD patients and healthy controls, respectively. Blue line indicates happy EMMN (happy mi-nus neutral) and red line sad EMMN (sad minus neutral).

During the procedure of EEG data preprocessing and measurements, researchers were blind regarding identity and diagnosis of subjects, while not for recording of EEG signals.

Statistical Analysis

All statistical analyses were performed with SPSS 26.0 (SPSS Inc., Chicago, IL, USA). Quantitative data were presented as mean ± standard deviation (SD). Student’s t-test for independent samples or χ2 test was employed to compare distinctions in continuous demographic, clinical, neuropsychological and emotional features between groups. As for mean EMMN amplitudes, their normal distributions were verified using Shapiro–Wilk test, followed by further analyses with repeated-measures analysis of variance (ANOVA), with expression (happy and sad), hemisphere (left and right) and electrode (P7/P8, O1/O2 and M1/M2) as within-subject factors, while with group (CSVD patients vs healthy controls) as a between-subject factor. Because of violation of sphericity hypothesis, the degrees of freedom were modified by Greenhouse–Geisser epsilon if necessary. Moreover, Bonferroni correction was conducted for post-hoc analysis of significant results. Paired t-test was applied for determination of statistical difference between EMMN amplitudes and zero as proposed by Kimura et al.17 Results with P < 0.05 were considered to be statistically significant, and their effect sizes were reported as partial eta squared (η2).

Results

Sample Characteristics

The demographic and clinical characteristics of CSVD patients and healthy controls were demonstrated in Table 1. No notable difference was observed in age, gender, education and BMI parameter between two groups (all p > 0.05). As for neuropsychological and emotional features, evaluated by MoCA/MMSE and GAD-7/PHQ-9, respectively, the corresponding analyses did not reach significant levels either (ps > 0.05).

Table 1

Sample Characteristics

	CSVD Patients	Healthy Controls	t/χ2	P
Number	22	21
Age, years	60.05 ± 9.64	56.76 ± 10.31	1.08	0.287
Age range, years	37–72	36–70
Gender, male/female	12/10	12/9	1.00	0.554
Education, years	13.14 ± 1.73	14.05 ± 1.69	−1.75	0.088
BMI (kg/m2)	25.53 ± 2.43	24.79 ± 3.04	0.88	0.383
With hypertension number (percentage)	12 (54.55%)	–	–	–
With diabetes number (percentage)	10 (45.45%)	–	–	–
With hyperlipidemia number (percentage)	15 (68.18%)	–	–	–
MoCA	26.91 ± 2.07	27.90 ± 1.73	−1.71	0.095
MMSE	26.95 ± 1.73	27.76 ± 1.04	−1.84	0.073
GAD-7	2.86 ± 1.36	2.29 ± 1.15	1.51	0.140
PHQ-9	2.50 ± 1.10	2.00 ± 1.41	1.30	0.202

Notes: Data were expressed as mean ± SD (Standard Deviation). Student’s t-test was used in analyses of age, education, BMI, MoCA, MMSE, GAD-7 and PHQ-9. χ2 test was used in analysis of gender.

Abbreviations: BMI, body mass index; MoCA, Montreal Cognitive Assessment; MMSE, Mini-mental State Examination; GAD-7, The Generalized Anxiety Disorder-7; PHQ-9, The Patient Health Questionnaire-9; χ2, chi-square.

Behavioral Performance

The reaction time to target stimuli and response accuracy were recorded and analyzed. Neither reaction time (CSVD patients, 370.5 ± 37.0 ms; healthy controls, 361.0 ± 42.1 ms; t = 0.78, p = 0.438) nor response accuracy (CSVD patients, 95.0 ± 2.7%; healthy controls, 95.7 ± 2.4%, t = –0.77, p = 0.443) were statistically significant.

EMMN Analysis

Figure 3 shows grand-averaged ERP waveforms elicited by facial expressions (neutral, happy and sad) in CSVD patients and healthy controls at P7/P8 sites, respectively. The grand-averaged waveforms of subtraction-derived EMMN (happy EMMN and sad EMMN) are displayed in Figure 4, and mean EMMN amplitudes within the ranges of 150–250 ms and 250–350 ms were analyzed (Table 2).

Table 2

Results and Analysis of Mean Amplitude (μV) of EMMN in Healthy Control and Patients with CSVD

EMMN		CSVD Patients		Healthy Controls		Statistics
		Happy	Sad	Happy	Sad	Group Fa	Expression Fb	Group× Expression Fc
150–250ms	Amplitude(μV)	−0.10±0.85	−0.06±0.93	−0.24±0.62	−0.70±0.58	8.96**	11.64***	4.45*
250–350ms	Amplitude(μV)	−0.18±0.77	−0.04±0.59	−0.38±0.46	−0.74±0.38	14.68***	11.23***	7.42**

Notes: Data were expressed as mean ± SD. EMMN mean amplitude was measured within two time windows (150–250 ms and 250–350 ms). *P <0.05, **P < 0.01, ***P < 0.001 by repeated-measures ANOVA (Bonferroni correction). aF value of main effect of group. bF value of main effect of expression. cF value of interaction of group and expression.

Abbreviation: EMMN, expression-related mismatch negativity.

As for early EMMN (150–250 ms), mean amplitude was significantly attenuated in CSVD patients (−0.08 ± 0.91 µV) compared with healthy controls (−0.47 ± 0.48 µV, F(1,41) = 8.96, p = 0.005, partial η2 = 0.18). Moreover, EMMN amplitude was modulated by facial expressions (F(1.00,41.00) = 11.64, p = 0.001, partial η2 = 0.22), and the interaction of group and expression was verified to be remarkable (F(1.00,41.00) = 4.45, p = 0.041, partial η2 = 0.10) (Table 2). Post-hoc analyses revealed that, under sad condition, CSVD sufferers (−0.06 ± 0.93 µV) exhibited reduced amplitude than that in the control group (−0.70 ± 0.58 µV, F(1,41) = 15.08, p < 0.001, partial η2 = 0.27), but not for happy expression (CSVD patients, −0.10 ± 0.85 µV; healthy controls, −0.24 ± 0.62 µV; F(1,41) = 1.67, p = 0.203). Additionally, in controls, the amplitude of sad EMMN was observed to be larger (more negative) in comparison with happy EMMN (p < 0.001, partial η2 = 0.28), while this pattern was not found in patients (p = 0.368). We also obtained noticeable electrode effect (F(1.99,81.72) = 3.35, p = 0.040, partial η2 = 0.08), of which the negative amplitude was largest at P7/P8 sites (−0.32 ± 0.72 µV).

Within the 250–350 ms window, the main effects of group (CSVD patients, −0.11 ± 0.62 µV; healthy controls, −0.56 ± 0.39 µV; F(1,41) = 14.68, p < 0.001, partial η2 = 0.26) and ex-pression (F(1.00,41.00) = 11.23, p = 0.002, partial η2 = 0.22), as well as group × expression interaction (F(1.00,41.00) = 7.42, p = 0.009, partial η2 = 0.15), were all statistically significant (see Table 2). Subsequent comparisons were consistent with the abovementioned results of early EMMN. Moreover, remarkable electrode effect (F(1.80,73.89) = 5.38, p = 0.008, partial η2 = 0.116) was observed, and it interacted with group (F(1.80,73.89) = 4.62, p = 0.016, partial η2 = 0.101), implying that patients produced smaller MMN response to facial expressions compared with their control counterparts at P7/P8 (p < 0.001, partial η2 = 0.40) and O1/O2 sites (p = 0.001, partial η2 = 0.25), but not at M1/M2 sites (p = 0.71). We also discovered that the interactions of expression × electrode and group × expression × electrode reached significant levels (F(1.48,60.54) = 5.04, p = 0.017, partial η2 = 0.11 and F(1.48,60.54) = 5.22, p = 0.015, partial η2 = 0.12, respectively).

To verify the existence of EMMN, further comparisons between EMMN amplitudes and zero were performed for two groups. In control participants, during early period (150–250 ms), mean amplitudes of happy and sad EMMN were significantly different from zero at P7/P8 and O1/O2 sites (ps < 0.05 by paired t-test). In terms of late period (250–350 ms), sad EMMN was remarkably elicited at each channel (P7/P8, O1/O2 and M1/M2) (ps < 0.05), while for happy EMMN, the comparisons were statistically significant only at P7/P8 sites (both p < 0.01). Nevertheless, in CSVD patients, there existed no observable MMN response towards emotional faces at any electrodes, regardless of happy or sad condition (all p > 0.05).

Discussion

In the present study, using an expression-related oddball paradigm with neutral, happy and sad faces as stimuli, we comprehensively investigated pre-attentive processing of facial expressions for CSVD. Although no difference was observed in behavioral performance (reaction time and response accuracy) between groups, the average amplitudes of EMMN were markedly decreased in CSVD sufferers compared with healthy controls, especially under happy condition. These findings implicated that CSVD patients might suffer from impairments in automatic emotional processing, particularly towards happy expressions.

In this work, significant group effects were obtained for mean EMMN amplitudes within time windows of 150–250 ms and 250–350 ms, and post-hoc analyses showed that the amplitudes of sad EMMN were dramatically attenuated in comparison with control counterparts, while not for happy faces. Since EMMN component is generally elicited in the absence of attention and reflects ability in automatic change detection of emotional information,16–18,26 the abovementioned results implied abnormalities in pre-attentive emotional processing for CSVD patients, which selectively involved sad expressions.

Another key finding of our investigation was that in two ranges calculated, EMMN amplitudes elicited by sad faces were remarkably larger (more negative) than those elicited by happy faces in healthy controls, suggesting that control participants allocated more processing resources to sad expressions and other negative emotional information even at pre-attentive stage. It has been well documented that negative stimuli, including facial expressions, are inclined to be handled more intensely and swiftly than positive ones under attentional condition.27–29 From an electrophysiological perspective, the recording and analysis of EMMN in controls further supported the negative bias (sad superiority) theory in field of automatic processing, which corroborated observations in previous reports.16,17,30 In contrast, corresponding analyses regarding negativity bias effect did not reach significant levels in CSVD patients, demonstrating that there appeared to be no distinction between happy and sad faces without focused attention to facial expressions.

The selective impairment in processing of sad faces and disappearance of negative bias effect were discovered in CSVD patients, and these interesting phenomena might be explained by the hypothesis that perceptions of distinct facial expressions were associated with dissociable neural structures.31 A piece of evidence has indicated that thalamic nuclei, especially pulvinar nucleus, are sensitive to changes in blood supply32 and are extensively connected with cortical (sensory cortices, posterior parietal cortex, prefrontal cortex) and subcortical regions (superior colliculus, amygdala).33–35 More importantly, the pulvinar is dispensable in both multisensory sensory and fear processing, so problems with blood supply to pulvinar nucleus can lead to abnormal sensory emotional response.33,34,36,37 Previous publications demonstrated that white matter density of pulvinar-amygdala connection was significantly correlated with capability to recognize and process emotional faces,36,38 and white matter hyperintensity is regarded as a common sign in CSVD imaging. Thus, there is the possibility that ischemia in specific regions can cause alterations of certain neural circuits, which contributes to impairment of negative emotional processing in succession, while the network-level pathology and exact mechanisms deserve further elucidation for CSVD sufferers, perhaps by fMRI technique.

Moreover, the global cognitive function evaluated by MoCA and MMSE scales seemed to remain intact in CSVD patients. As suggested by prior publication, traditional neuropsychological assessment tools displayed different sensitivities and specificities in screening of cognitive impairment, for instance, MoCA possessed higher sensitivity (0.97 vs 0.65) while lower specificity (0.60 vs 0.89) compared with MMSE.39 Nevertheless, divergent results have been obtained for neuropsychological evaluation by other CSVD-related reports,5,40 and the inconsistencies might arise from diverse subject selection criteria and research protocols, which needs to be illuminated in future investigation using larger cohorts. Notably, mean amplitudes of sad EMMN were markedly attenuated in CSVD sufferers than those in healthy controls, implying that EMMN component could serve as a reliable biomarker to reflect dysfunction of emotional processing and ERP experiments might detect early cognitive decline sensitively for CSVD, at least indicated by this study.

To the best of our knowledge, using an expression-related oddball paradigm, we comprehensively investigated emotional processing in CSVD patients for the first time and revealed relevant dysfunction. Moreover, low-level processing was avoided by manipulating the distance between facial features and the shape of facial features. Standardized subject enrollment criteria and collection of detailed information were also included in strengths of this study. However, several limitations constrained the explanation of our findings. Firstly, confined with small sample size, the effects of age and gender on pre-attentive processing of facial expressions were not explored, and we aimed to further characterize correlations between clinical data (eg, imaging features) and EMMN abnormalities. Secondly, a group of schematic facial models with neural, happy and sad expressions were applied in this experiment owing to their simplicity and reliability,26 while stimuli of human real faces were still needed to reconfirm our observations. Finally, source localization of EMMN in CSVD sufferers was not performed, which should be studied in future research to uncover the underlying mechanisms.

Conclusions

Notwithstanding these limitations, in the present investigation, we revealed that although global cognitive function assessed by MoCA and MMSE remained intact, CSVD patients suffered from selective impairment in automatic processing of sad expressions in comparison with healthy controls, while not for happy expressions. Furthermore, the negative bias effect was not observed for CSVD, indicating no apparent superiority in processing of sad faces compared with happy faces at pre-attentive stage. Given this, considering high prevalence of CSVD in the elderly, the issue of neurocognitive processing abnormalities should be paid critical attention, particularly for early diagnosis and intervention. Our findings shed light on the sensitivity and specificity of ERP tests, and further studies are warranted to determine whether EMMN component can serve as a promising electrophysiological indicator for cognitive evaluation in CSVD sufferers.