Voxel-based analysis of fractional anisotropy in post-stroke apathy

Analysis of radiological features in patients with post-stroke depression and cognitive impairment

Post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) are common complications following a stroke, significantly impacting the quality of life and survival time of survivors. Currently, the comorbidity of PSCI and PSD is receiving increasing attention, as they share some common clinical characteristics, mechanisms, risk factors, radiological features, and treatment strategies. They influence each other, with the clinical prevalence of PSD comorbid with PSCI reaching as high as 26.15 %. The prevention, screening, diagnosis, and treatment of PSD and PSCI require collaboration across clinical, radiological, and neuropsychological evaluations. This paper aims to summarize the common radiological features of both conditions from a radiological perspective, which may aid in identifying early screening and predictive imaging biomarkers.

Predictive Factors of Apathy in Stroke Survivors During the Recovery Period

ABSTRACT

BACKGROUND: Apathy may be an important predictor of depression and significantly negatively affect the quality of life and functional recovery of stroke survivors. However, the evidence reflects the inconsistent findings of studies on the impact of individual-related variables on apathy in patients with stroke. OBJECTIVES: This study examines the relationships among stroke survivors' individual characteristics, background variables, disease-related variables, and apathy; furthermore, we identify predictors of apathy. METHODS: In this cross-sectional correlational study, the participants were recruited from a medical university hospital. Three measurement tools were used: individual and background variables, the modified Rankin Scale, and the Apathy Evaluation Scale. Hierarchical multiple regression analysis was used to identify the predictors of apathy. RESULTS: Participants included 100 stroke survivors with a mean age of 59.9 (12.1) years. The prevalence of apathy among stroke survivors was 27%. Stroke survivors' economic sources (β = 0.430, P = .001), perceived family support (β = -0.163, P = .048), and modified Rankin Scale (β = 0.283, P = .001) accounted for 43.7% of the variance in survivor apathy. CONCLUSION: The results of this study clarified which individual characteristics, background variables, and disease-related variables are key predictors of apathy in patients with stroke.

Neuroimaging of neuropsychological disturbances following ischaemic stroke (CONNECT): a prospective cohort study protocol

INTRODUCTION

Neuropsychiatric distubance is a common clinical manifestation in acute ischemic stroke. However, it is frequently overlooked by clinicians. This study aimed to explore the possible aetiology and pathogenesis of neuropsychiatric disturbances following ischaemic stroke (NDIS) from an anatomical and functional perspective with the help of neuroimaging methods.

METHOD AND ANALYSIS

CONNECT is a prospective cohort study of neuroimaging and its functional outcome in NDIS. We aim to enrol a minimum of 300 individuals with first-ever stroke. The neuropsychological disturbances involved in this study include depression, anxiety disorder, headache, apathy, insomnia, fatigue and cognitive impairment. Using scales that have been shown to be effective in assessing the above symptoms, the NDIS evaluation battery requires at least 2 hours at baseline. Moreover, all patients will be required to complete 2 years of follow-up, during which the NDIS will be re-evaluated at 3 months, 12 months and 24 months by telephone and 6 months by outpatient interview after the index stroke. The primary outcome of our study is the incidence of NDIS at the 6-month mark. Secondary outcomes are related to the severity of NDIS as well as functional rehabilitation of patients. Functional imaging evaluation will be performed at baseline and 6-month follow-up using specific sequences including resting-state functional MRI, diffusion tensor imaging, T1-weighted imaging, T2-weighted imaging, diffusion-weighted imaging, arterial spin labelling, quantitative susceptibility mapping and fluid-attenuated inversion recovery imaging. In addition, we collect haematological information from patients to explore potential biological and genetic markers of NDIS through histological analysis.

ETHICS AND DISSEMINATION

The CONNECT Study was approved by the Ethics Review Committee of the First Hospital of the University of Science and Technology of China (2021-ky012) and written informed consent will be obtained from all participants. Results will be disseminated via a peer-reviewed journal.

TRIAL REGISTRATION NUMBER

ChiCTR2100043886.

The prevalence of apathy in stroke patients: A systematic review and meta-analysis

BACKGROUND

Apathy is a frequent neuropsychiatric disorder in stroke patients. However, its prevalence rates have conflicting results across studies. This meta-analysis aimed to estimate the overall prevalence of apathy in stroke patients from 1990 to 2022.

METHODS

PubMed, Web of Science, Embase and PsycINFO were systematically searched to identify relevant articles published from January 1, 1990 to October 29, 2022. Literature quality was assessed with the National Institutes of Health Study Quality Assessment Tool. The pooled prevalence, subgroup analyses and meta-regression were calculated by STATA 16.0.

RESULTS

A total of 39 observational studies involving 5168 stroke patients were eligible for this meta-analysis. The pooled prevalence of apathy in stroke patients was 33.0% (95% CI, 27.6-38.4). Subgroup analyses showed that the pooled prevalence of apathy among stroke patients was higher in Japan (36.6%), China (33.7%) and Turkey (63.5%) compared to that in other countries (30.2%). The pooled prevalence of apathy was higher in ischemic stroke samples (36.1%) than in hemorrhagic stroke samples (14.4%). The pooled prevalence of apathy measured with the Apathy Evaluation Scale (38.3%) was the highest in stroke patients. Meta-regression presented that higher literature quality was significantly associated with lower prevalence, while stroke severity, mean age and female percentage were not significantly associated with the prevalence of apathy in stroke patients.

CONCLUSION

Our findings revealed that the overall prevalence of apathy in stroke patients was 33.0% based on the current evidence. Furthermore, the prevalence was significantly correlated with countries, stroke subtypes, apathy criteria, and literature quality.

Poststroke apathy: Major role of cognitive, depressive and neurological disorders over imaging determinants

Apathy occurs in approximately one third of people after stroke. Despite its frequency and functional consequences, the determinants of apathy have only been partially defined. The major difficulty lies in disentangling the reduction in activity due to apathy itself from those secondary to comorbidities, such as depression, sensorimotor deficits, and cognitive impairment. Here, we aimed to examine the prevalence of apathy, identify confounding sources of hypoactivity, and define its neuroimaging determinants using multivariate voxel lesion symptom-mapping (mVLSM) analyses. We assessed apathy in a subgroup (n = 325, mean age: 63.8 ± 10.5 years, 91.1% ischemic stroke) of the GRECogVASC cohort using the validated Behavioral Dysexecutive Syndrome Inventory, interpreted using GREFEX criteria, as well as confounding factors (depression, anxiety, severity of the neurological deficit, and gait disorders). mVLSM analysis was used to define neuroimaging determinants and was repeated after controlling for confounding factors. Apathy was present for 120 patients (36.9%, 95% CI: 31.7-42.2). Stepwise linear regression identified three factors associated with apathy: depressive symptoms (R² = .3, p = .0001), cognitive impairment (R² = .015, p = .02), and neurological deficit (R² = .110, p = .0001). Accordingly, only 9 (7.5%) patients had apathy without a confounding factor, i.e., isolated apathy. In conventional VLSM analysis, apathy was associated with a large number of subcortical lesions that were no longer considered after controlling for confounding factors. Strategic site analysis identified five regions associated with isolated apathy: the F3 orbitalis pars, left amygdala, left thalamus, left pallidum, and mesencephalon. mVLSM analysis identified four strategic sites associated with apathy: the right corticospinal tract (R² = .11; p = .0001), left frontostriatal tract (R² = .11; p = .0001), left thalamus (R² = .04; p = .0001), and left amygdala (R² = .01; p = .013). These regions remained significant after controlling for confounding factors but explained a lower amount of variance. These findings indicate that poststroke apathy is more strongly associated with depression, neurological deficit, and cognitive impairment than with stroke lesions locations, at least using VLSM analysis.

Neuroimaging Parameters Are Not Associated With Chronic Post-stroke Fatigue in Young Stroke Patients

Introduction

Post-stroke fatigue is frequently present in young adults, but its underlying mechanism is still unclear. The aim of the study was to investigate the association between lesion location, network efficiency and chronic post-stroke fatigue based on voxel-based lesion-symptom mapping and structural network connectivity analysis.

Patients and Methods

One hundred and thirty five young patients, aged 18–50 years, with a first-ever transient ischemic attack or cerebral infarction from the Follow-Up of Transient ischemic attack and stroke patients and Unelucidated Risk factor Evaluation (FUTURE) study, underwent 1.5T MRI and were assessed for fatigue using the self-report Checklist Individual Strength. Stroke lesions were manually segmented, and structural network efficiency was calculated using the diffusion MRI-based brain networks and graph theory for each patient. Univariate and multivariate analyses was performed to study the associations between MRI parameters and chronic post-stroke fatigue. In addition, we used voxel-based lesion-symptom mapping to analyze the relationship between the lesion location and chronic post-stroke fatigue.

Results

Mean age at index event was 39.0 years (SD ± 8.2), and mean follow-up duration was 11.0 years (SD ± 8.0). 50 patients (37%) had post-stroke fatigue. Voxel-based lesion-symptom mapping showed no significant relation between stroke lesions and the presence of chronic post-stroke fatigue. Furthermore, there were no significant associations between the lesion size or network efficiency, and the presence of chronic post-stroke fatigue.

Discussion

We did not find any association between stroke characteristics (lesion location and size) and chronic post-stroke fatigue (CIS20-R), nor associations between structural brain network connectivity and post-stroke fatigue on the long term in young stroke patients.

Late Life Depression: The Essentials and the Essential Distinctions

Late life depression (LLD), a familiar syndrome, is not differentiated in the DSM-5. LLD can resemble depressive syndromes in younger adults but it differs in demographic characteristics, phenomenology, prognosis, treatment, suicide risk, relationship to other disorders, and etiology. Older depressed adults often present with fewer major depressive symptoms, less emphasis on mood disturbance, greater preoccupation with somatic or psychotic symptoms, and misleading cognitive deficits. LLD's relationships with medical and neurocognitive symptoms and with inflammatory and immune factors are complex. Formal screening tools and biopsychosocial assessment informs diagnosis and treatment. Evidence supports the effectiveness of lifestyle interventions, several psychotherapies, and a variety of somatic treatment approaches. Comorbid medical disorders must be taken into account when planning treatment. In this article, the authors describe the characteristics of LLD, present an approach to assessment and management, and recommend that future DSM editions include a new specifier to differentiate LLD from other depressive syndromes.

Apathetic symptoms and white matter integrity after traumatic brain injury

PRIMARY OBJECTIVE

The aim of the study was twofold. First, to study the relationship among apathy in the long term, initial clinical measures, and standard outcome scores after traumatic brain injury (TBI). Second, to describe white matter integrity correlates of apathy symptoms.

RESEARCH DESIGN

Correlational study. Methods and Procedures: Correlation and Bayesian networks analyses were performed in a sample of 40 patients with moderate to severe TBI in order to identify the relationship among clinical variables, functionality, and apathy. A diffusion tensor imaging study was developed in 25 participants to describe correlations between fractional anisotropy (FA) measures and apathetic symptoms.

MAIN OUTCOMES AND RESULTS

Correlation analysis revealed associations between pairs of variables as apathy in the long term and functional score at discharge from hospital. Bayesian network illustrated the relevant role of axonal injury mediating the relationship between apathy and initial clinical variables. FA in the superior longitudinal fasciculus, the inferior longitudinal fasciculus, and the internal capsule were negatively correlated with apathy measures. Widespread brain areas showed positive correlations between FA and apathy.

CONCLUSIONS

These results highlight the relevance of white matter integrity measures in initial assessment after TBI and its relationship with apathetic manifestations in the chronic phase.

Magnetisation transfer imaging revealed microstructural changes related to apathy symptoms after ischaemic stroke

OBJECTIVES

Apathy after stroke is common and has a negative impact on functional recovery. Neuroimaging correlates of poststroke apathy remain unclear. We aimed to investigate microstructural changes associated with the severity of poststroke apathy symptoms.

METHODS

We assessed 67 patients with cerebral ischaemia who underwent magnetisation transfer brain imaging 12-15 months after stroke. We used magnetisation transfer ratio (MTR) to represent microstructural integrity. We performed whole-brain voxel-based analysis and subsequent region of interest analysis to investigate the association between MTR and symptoms of poststroke apathy. To assess apathy symptoms, we used clinician-reported version of the Apathy Evaluation Scale.

RESULTS

Voxel-based analysis showed the association between symptoms of apathy and decreased MTR in areas overlapping with structures located in both hemispheres: left thalamus, bilateral hippocampus, bilateral fornix/stria terminalis, right amygdala, splenium of the corpus callosum, the retrolenticular part of left internal capsule and left sagittal stratum. In the region of interest analysis, only lower MTR in right fornix/stria terminalis was associated with greater poststroke apathy symptoms in a multivariate logistic model (odds ratio: 1.25, 95% CI: 1.09-1.46, p = 0.003). These associations were independent of depressive symptoms.

CONCLUSION

Magnetisation transfer brain imaging 12-15 months after stroke revealed changes in microstructural integrity associated with apathy symptoms in brain areas related to processing emotional information and reward valuation.

Neuroanatomical Abnormalities in Older Depressed Adults With Apathy: A Systematic Review

OBJECTIVE

Apathy is a common phenomenon in late-life depression and is associated with poor outcomes. Apathy is often unrecognized in older depressed adults, and efficacious treatment options are lacking. This review provides a systematic review of the neuroanatomical abnormalities associated with apathy in late-life depression. In addition, the review summarizes the neuroimaging findings from studies of neurodegenerative and focal brain injury conditions that frequently present with apathy. The goal is to elucidate cerebral network abnormalities that give rise to apathy in older adults with mood disturbances and to inform future treatment targets.

METHOD

Systematic literature review.

RESULTS

The few studies that have directly examined the neuroanatomical abnormalities of apathy in late-life depression suggest disturbances in the anterior cingulate cortex, insula, orbital and dorsal prefrontal cortex, striatum, and limbic structures (ie, amygdala, thalamus, and hippocampus). Studies examining the neuroanatomical correlates of apathy in other aging populations are consistent with the pattern observed in late-life depression.

CONCLUSIONS

Apathy in late-life depression appears to be accompanied by neuroanatomical abnormalities in the salience and reward networks. These network findings are consistent with that observed in individuals presenting with apathy in other aging-related conditions. These findings may inform future treatments that target apathy.

Use of Functional Magnetic Resonance Imaging to Assess How Motor Phenotypes of Parkinson's Disease Respond to Deep Brain Stimulation

BACKGROUND

Deep brain stimulation (DBS) is a well-accepted treatment of Parkinson's disease (PD). Motor phenotypes include tremor-dominant (TD), akinesia-rigidity (AR), and postural instability gait disorder (PIGD). The mechanism of action in how DBS modulates motor symptom relief remains unknown.

OBJECTIVE

Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) was used to determine whether the functional activity varies in response to DBS depending on PD phenotypes.

MATERIALS AND METHODS

Subjects underwent an fMRI scan with DBS cycling ON and OFF. The effects of DBS cycling on BOLD activation in each phenotype were documented through voxel-wise analysis. For each region of interest, ANOVAs were performed using T-values and covariate analyses were conducted. Further, a correlation analysis was performed comparing stimulation settings to T-values. Lastly, T-values of subjects with motor improvement were compared to those who worsened.

RESULTS

As a group, BOLD activation with DBS-ON resulted in activation in the motor thalamus (p < 0.01) and globus pallidus externa (p < 0.01). AR patients had more activation in the supplementary motor area (SMA) compared to PIGD (p < 0.01) and TD cohorts (p < 0.01). Further, the AR cohort had more activation in primary motor cortex (MI) compared to the TD cohort (p = 0.02). Implanted nuclei (p = 0.01) and phenotype (p = <0.01) affected activity in MI and phenotype alone affected SMA activity (p = <0.01). A positive correlation was seen between thalamic activation and pulse-width (p = 0.03) and between caudate and total electrical energy delivered (p = 0.04).

CONCLUSIONS

These data suggest that DBS modulates network activity differently based on patient motor phenotype. Improved understanding of these differences may further our knowledge about the mechanisms of DBS action on PD motor symptoms and to optimize treatment.

The Relationship Between Axon Density, Myelination, and Fractional Anisotropy in the Human Corpus Callosum

The corpus callosum serves the functional integration and interaction between the two hemispheres. Many studies investigate callosal microstructure via diffusion tensor imaging (DTI) fractional anisotropy (FA) in geometrically parcellated segments. However, FA is influenced by several different microstructural properties such as myelination and axon density, hindering a neurobiological interpretation. This study explores the relationship between FA and more specific measures of microstructure within the corpus callosum in a sample of 271 healthy participants. DTI tractography was used to assess 11 callosal segments and gain estimates of FA. We quantified axon density and myelination via neurite orientation dispersion and density imaging (NODDI) to assess intra-neurite volume fraction and a multiecho gradient spin-echo sequence estimating myelin water fraction. The results indicate three common factors in the distribution of FA, myelin content and axon density, indicating potentially shared rules of topographical distribution. Moreover, the relationship between measures varied across the corpus callosum, suggesting that FA should not be interpreted uniformly. More specific magnetic resonance imaging-based quantification techniques, such as NODDI and multiecho myelin water imaging, may thus play a key role in future studies of clinical trials and individual differences.

Imaging markers associated with the development of post-stroke depression and apathy: Results of the Cognition and Affect after Stroke - a Prospective Evaluation of Risks study

Introduction

It has been suggested that the development of post-stroke apathy (PSA) and depression (PSD) may be more strongly associated with generalised brain pathology, rather than the stroke lesion itself. The present study aimed to investigate associations between imaging markers of lesion-related and generalised brain pathology and the development of PSA and PSD during a one-year follow-up.

Patients and methods

In a prospective cohort study, 188 stroke patients received 3-Tesla MRI at baseline (three months post-stroke) for evaluation of lesion-related, vascular, and degenerative brain pathology. Presence of lacunes, microbleeds, white matter hyperintensities, and enlarged perivascular spaces was summed to provide a measure of total cerebral small vessel disease (cSVD) burden (range 0-4). The Mini International Neuropsychiatric Interview and Apathy Evaluation Scale were administered at baseline and repeated at 6- and 12-month follow-up to define presence of PSD and PSA, respectively.

Results

Population-averaged logistic regression models showed that global brain atrophy and severe cSVD burden (score 3-4) were significantly associated with the odds of having PSA (OR_GEE 5.33, 95% CI 1.99-14.25 and 3.04, 95% CI 1.20-7.69, respectively), independent of stroke lesion volume and co-morbid PSD. Medium cSVD burden (score 2) was significantly associated with the odds of having PSD (OR_GEE 2.92, 95% CI 1.09-7.78), independent of stroke lesion volume, co-morbid PSA, and pre-stroke depression. No associations were found with lesion-related markers.

Conclusions

The results suggest that generalised degenerative and vascular brain pathology, rather than lesion-related pathology, is an important predictor for the development of PSA, and less strongly for PSD.

Emotions after stroke: A narrative update

AIM

In this narrative review we aimed to describe how stroke affects emotions and update the readers on the emotional disturbances that occur after stroke.

METHODS

We searched Medline from 1.1.2013 to 1.7.2019, personal files and references of selected publications. All retrieved systematic reviews and randomized controlled trials were included. Other references were selected by relevance.

SUMMARY OF REVIEW

The emotional response includes a reactive behavior with arousal, somatic, motivational and motor components, and a distinctive cognitive and subjective affective experience. Emotional category responses and experiences after stroke can show dissociations between the behavioral response and the cognitive and affective experiences. Emotional disturbances that often occur after stroke include fear, anger, emotional indifference, lack of understanding of other emotions, and lack of control of emotional expression. Emotional disturbances limit social reintegration of the persons with stroke and are a source of caregiver burnout. The evidence to support the management of the majority of emotional disorders in stroke survivors is currently weak and of low or very low methodologic quality. An exception are the disorders of emotional expression control where antidepressants can have a strong beneficial effect, by reducing the number and duration of the uncontrollable episodes of crying or laughing.

CONCLUSION

Our current knowledge of the emotional disorders that occurs in acute stroke patients and in stroke survivors is heterogeneous and limited. Joint efforts of different research approaches, methodologies and disciplines will improve our current understanding on emotional disorder after stroke and indicate rational pathways to manage them.

Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression

There is a pressing need to further our understanding of the mechanisms underlying the depression symptoms in patients with post-stroke depression (PSD) in order to inform targeted therapeutic approaches. While previous research has demonstrated a reorganization in the functional brain network of PSD, it remains uncertain whether, or not it also occurs in the structural brain network. We therefore aim to investigate the structural brain network of patients with PSD as compared to post-stroke non-depression (PSND) patients. In addition, our research considers the relationship between network metrics and functional measurements. Thirty-one PSD patients and twenty-three PSND patients were recruited. All patients underwent MRI and functional assessments, including the Barthel index, mini-mental state examination (MMSE), and Hamilton depression rating scale (HAMD). Diffusion tensor imaging was used to construct the structural brain network and to conduct the subsequent graph theoretical analysis. Network measures were computed and compared between PSD and PSND patients. Associations between functional assessments and network measures were studied as well. We successfully detected increased global and local efficiency in patients with PSD. Regions with disrupted local connections were located primarily in the cognitive and limbic systems. More importantly, PSD patients' global and regional network measures were associated with depression severity, as measured by HAMD. These findings suggest that disrupted global and local network topologies might contribute to PSD patients' depression symptoms. Therefore, connectome-based network measures could be potential bio-markers for evaluating stroke patients' depression levels.

The neurobiology of brain recovery from traumatic stress: A longitudinal DTI study

BACKGROUND

Previous studies demonstrated decreased brain microstructure integrity in people that were exposed to extreme life stress but did not meet posttraumatic stress disorder (PTSD) diagnostic criteria. It is unclear how the brain recovers from traumatic stress in these trauma-exposed non-PTSD people (TENP).

METHODS

Twenty-two TENP individuals were recruited from the most affected area of Wenchuan quake, and scanned twenty-five days after the quake and at a two-year follow-up. Tract-based spatial statistics was used to examine brain microstructure changes over the two years. Correlation analyses were conducted to investigate relationships between brain microstructure changes and both stress recovery and demographic factors. To assess DTI stability, fifteen healthy subjects were scanned twice in a year and analysed similarly.

RESULTS

Significantly increased fractional anisotropy (FA) was found in the left posterior limb of internal capsule, left superior and posterior corona radiata (SCR and PCR), and left external capsule. The FA increase of these regions was primarily a result of radial diffusivity reduction. Recovery in symptoms was positively correlated with FA increase of SCR. Changes were related to participant age and sex. No DTI measures were changed for the healthy subjects.

LIMITATIONS

Generalizability of the findings was constrained by the relatively small sample size.

CONCLUSIONS

The TENP individuals showed a recovery from the trauma over the follow-up, and that was accompanied with increased brain microstructure integrity in fiber tracts primarily involving corticostriatal networks. These changes may contribute to the psychological resilience to a severe life stress that led to PTSD in quake victims. In particular，this study adds to Psychoradiology, which is a promising subspecialty for clinical radiology focusing on psychiatric disorders.

Post-Stroke Depression: Impact of Lesion Location and Methodological Limitations-A Topical Review

Post-stroke depression (PSD) affects approximately one-third of all stroke patients. It hinders rehabilitation and is associated with worse functional outcome and increased mortality. Since the identification of PSD is a significant clinical problem, clinicians and researchers have tried to identify predictors that indicate patients at risk of developing PSD. This also includes the research question whether there is an association between PSD and stroke lesion characteristics, e.g., lesion size and lesion location. Early studies addressing this question are largely limited by technical constraints and, thus, focused on simple lesion characteristics such as lesion side or proximity of the lesion to the frontal pole of the brain. More recent studies have addressed the impact of involvement of specific neuronal circuits in the stroke lesion. State-of-the-art methods of lesion symptom mapping to study PSD have only been applied to small patient samples. Overall, results are controversial and no clear pattern of stroke lesions associated with PSD has emerged, though there are findings suggesting that more frontal stroke lesions are associated with higher incidence of PSD. Available studies are hampered by methodological limitations, including drawbacks of lesion analysis methods, small sample size, and the issue of patient selection. These limitations together with differences in approaches to assess PSD and in methods of image analysis limit the comparability of results from different studies. To summarize, as of today no definite association between lesion location and PSD can be ascertained and the understanding of PSD rests incomplete. Further insights are expected from the use of modern lesion inference analysis methods in larger patient samples taking into account standardized assessment of possible confounding parameters, such as stroke treatment and reperfusion status.

Imaging Markers of Post-Stroke Depression and Apathy: a Systematic Review and Meta-Analysis

Several brain imaging markers have been studied in the development of post-stroke depression (PSD) and post-stroke apathy (PSA), but inconsistent associations have been reported. This systematic review and meta-analysis aims to provide a comprehensive and up-to-date evaluation of imaging markers associated with PSD and PSA. Databases (Medline, Embase, PsycINFO, CINAHL, and Cochrane Database of Systematic Reviews) were searched from inception to July 21, 2016. Observational studies describing imaging markers of PSD and PSA were included. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated to examine the association between PSD or PSA and stroke lesion laterality, type, and location, also stratified by study phase (acute, post-acute, chronic). Other imaging markers were reviewed qualitatively. The search retrieved 4502 studies, of which 149 studies were included in the review and 86 studies in the meta-analyses. PSD in the post-acute stroke phase was significantly associated with frontal (OR 1.72, 95% CI 1.34–2.19) and basal ganglia lesions (OR 2.25, 95% CI 1.33–3.84). Hemorrhagic stroke related to higher odds for PSA in the acute phase (OR 2.58, 95% CI 1.18–5.65), whereas ischemic stroke related to higher odds for PSA in the post-acute phase (OR 0.20, 95% CI 0.06–0.69). Frequency of PSD and PSA is modestly associated with stroke type and location and is dependent on stroke phase. These findings have to be taken into consideration for stroke rehabilitation programs, as this could prevent stroke patients from developing PSD and PSA, resulting in better clinical outcome.

Reduction of white matter integrity correlates with apathy in Parkinson's disease

BACKGROUND

Apathy is a common non-motor symptom in Parkinson's disease (PD), but little is known about apathy and white matter (WM) change. In this study, we investigated whether fractional anisotropy (FA) of the WM can distinguish apathetic patients from non-apathetic PD patients, and whether the FA value correlates with the severity of apathy in PD.

METHODS

Thirty-nine PD patients participated in our study, of which 18 participants were with apathy symptom, and 21 without apathy symptom. Diffusion tensor imaging was performed on all the subjects.

RESULTS

Compared to non-apathetic PD patients, the apathetic group had reduced FA values in the genu and body of corpus callosum, bilateral anterior corona radiata, left superior corona radiata and left cingulum. Furthermore, in these WM regions, the FA values were negatively correlated with the Lille Apathy Rating Scale scores in apathetic subjects.

CONCLUSION

The WM change is associated with apathy in PD patients. In addition, the FA values of specific regions of WM could be a promising marker to predict the severity of apathy.

Neural Correlates for Apathy: Frontal-Prefrontal and Parietal Cortical- Subcortical Circuits

Apathy is an uncertain nosographical entity, which includes reduced motivation, abulia, decreased empathy, and lack of emotional involvement; it is an important and heavy-burden clinical condition which strongly impacts in everyday life events, affects the common daily living abilities, reduced the inner goal directed behavior, and gives the heaviest burden on caregivers. Is a quite common comorbidity of many neurological disease, However, there is no definite consensus on the role of apathy in clinical practice, no definite data on anatomical circuits involved in its development, and no definite instrument to detect it at bedside. As a general observation, the occurrence of apathy is connected to damage of prefrontal cortex (PFC) and basal ganglia; “emotional affective” apathy may be related to the orbitomedial PFC and ventral striatum; “cognitive apathy” may be associated with dysfunction of lateral PFC and dorsal caudate nuclei; deficit of “autoactivation” may be due to bilateral lesions of the internal portion of globus pallidus, bilateral paramedian thalamic lesions, or the dorsomedial portion of PFC. On the other hand, apathy severity has been connected to neurofibrillary tangles density in the anterior cingulate gyrus and to gray matter atrophy in the anterior cingulate (ACC) and in the left medial frontal cortex, confirmed by functional imaging studies. These neural networks are linked to projects, judjing and planning, execution and selection common actions, and through the basolateral amygdala and nucleus accumbens projects to the frontostriatal and to the dorsolateral prefrontal cortex. Therefore, an alteration of these circuitry caused a lack of insight, a reduction of decision-making strategies, and a reduced speedness in action decision, major responsible for apathy. Emergent role concerns also the parietal cortex, with its direct action motivation control. We will discuss the importance of these circuits in different pathologies, degenerative or vascular, acute or chronic.

Neuropsychiatric sequelae of stroke

Stroke survivors are often affected by psychological distress and neuropsychiatric disturbances. About one-third of stroke survivors experience depression, anxiety or apathy, which are the most common neuropsychiatric sequelae of stroke. Neuropsychiatric sequelae are disabling, and can have a negative influence on recovery, reduce quality of life and lead to exhaustion of the caregiver. Despite the availability of screening instruments and effective treatments, neuropsychiatric disturbances attributed to stroke are currently underdiagnosed and undertreated. Stroke severity, stroke-related disabilities, cerebral small vessel disease, previous psychiatric disease, poor coping strategies and unfavourable psychosocial environment influence the presence and severity of the psychiatric sequelae of stroke. Although consistent associations between psychiatric disturbances and specific stroke locations have yet to be confirmed, functional MRI studies are beginning to unveil the anatomical networks that are disrupted in stroke-associated psychiatric disorders. Evidence regarding biochemical and genetic biomarkers for stroke-associated psychiatric disorders is still limited, and better understanding of the biological determinants and pathophysiology of these disorders is needed. Investigation into the management of these conditions must be continued, and should include pilot studies to assess the benefits of innovative behavioural interventions and large-scale cooperative randomized controlled pharmacological trials of drugs that are safe to use in patients with stroke.

Relationship between apathy and tumor location, size, and brain edema in patients with intracranial meningioma

BACKGROUND

The purpose of this study is to assess the relationship between apathy and tumor location, size, and brain edema in patients with intracranial meningioma.

METHODS

We enrolled 65 consecutive patients with meningioma and 31 normal controls matched for age, gender, and education. The patients were divided into frontal or non-frontal (NF) meningioma groups based on magnetic resonance imaging; the frontal group was then subdivided to dorsolateral frontal (DLF), medial frontal (MF), and ventral frontal (VF) groups. Tumor size and brain edema were also recorded. Apathy was assessed by the Apathy Evaluation Scale (AES). Assessments were carried out 1 week before and 3 months after surgery, respectively. Logistic regression analysis was performed to identify the predictive effect of tumor size, location, and brain edema on apathy. Analysis of variance and chi-square analysis were applied to compare apathy scores and apathy rates among the frontal, NF, and normal control groups, and all subgroups within the frontal group.

RESULTS

Compared with the NF and control groups, the mean AES score was much higher in the frontal group (34.0±8.3 versus 28.63±6.0, P=0.008, and 26.8±4.2, P<0.001). Subgroup analysis showed that AES scores in the MF group (42.1±6.6) and VF group (34.7±8.0) were higher than in the DLF group (28.5±4.36), NF group, and control group (P<0.05). The apathy rate was 63.6% in the MF group and 25% in the VF group, and significantly higher than in the DLF (5.6%), NF (5.3%), and control (0%) groups (P<0.001). A moderate correlation was found between AES score and mean diameter of the meningioma in all patient groups. Further analysis demonstrated that the correlation existed in the DLF (r=0.52, P=0.032), MF (r=0.84, P<0.001), and VF (r=0.64, P=0.008) groups, but not in the NF group (r=0.19, P=0.448). The AES score was much higher in patients with brain edema than in those without brain edema (34.73±8.28 versus 28.77±4.20, t=3.545, P=0.001). In subgroups within frontal meningioma patients, the statistical significance above only existed in the MF group (43.50±5.26 versus 25.67±6.03, P=0.001). Also, we examined the effect of related factors, such as age, sex, education, tumor size, tumor location and edema on the occurrence of apathy. The binary logistic regression analysis showed that MF [P=0.023, Exp(B) =145.6] and size [P=0.012, Exp(B) =1.20] got into the regression equation. Thirty-two patients underwent follow-up post-surgery. A significant reduction in AES was found in the MF group (AES1 - AES2 =6.86±6.82, t=2.68, P=0.04), but not in any of the other groups.

CONCLUSION

Apathy occurs frequently in patients with frontal meningioma, and is more severe, especially in the MF region. Apathy is probably correlated with tumor location and size. Brain edema might increase the severity of apathy.