Nucleus accumbens degeneration in spinocerebellar ataxia type 2: a preliminary study.

BACKGROUND: Spinocerebellar ataxia type 2 (SCA2) exhibits mainly cerebellar and oculomotor dysfunctions but also, frequently, cognitive impairment and neuropsychological symptoms. The mechanism of the progression of SCA2 remains unclear. This study aimed to evaluate longitudinal structural changes in the brains of SCA2 patients based on atrophy rate. METHODS: The OpenNeuro Dataset ds001378 was used. It comprises the demographic data and two magnetic resonance images each of nine SCA2 patients and 16 healthy controls. All structural images were preprocessed using FreeSurfer software, and each region's bilateral volume was summed. Atrophy rates were calculated based on the concept of symmetrised percent change and compared between SCA2 patients and healthy controls using non-parametric statistics. As post hoc analysis, correlation analysis was performed between infratentorial volume ratio and the accumbens area atrophy rates in SCA2 patients. RESULTS: There were no significant differences between groups for age, gender, and the time between scans. Statistical analysis indicated a significantly larger atrophy rate of the accumbens area in SCA2 patients than in controls. Additionally, the infratentorial volume ratio and accumbens area atrophy rates showed moderate negative correlation. CONCLUSIONS: This study found that nucleus accumbens (NAc) atrophy was significantly accelerated in SCA2 patients. Anatomically, the NAc is densely connected with infratentorial brain regions, so it is reasonable to posit that degeneration propagates from the cerebellum and brainstem to the NAc and other supratentorial areas. Functionally, the NAc is essential for appropriate behaviour, so NAc degeneration might contribute to neuropsychological symptoms in SCA2 patients.

Development of a novel tau propagation mouse model endogenously expressing 3 and 4 repeat tau isoforms.

The phenomenon of 'prion-like propagation' in which aggregates of abnormal amyloid-fibrilized protein propagate between neurons and spread pathology, is attracting attention as a new mechanism in neurodegenerative diseases. There is a strong correlation between the accumulation or spread of abnormal tau aggregates and the clinical symptoms of tauopathies. Microtubule-associated protein tau (MAPT) contains a microtubule-binding domain that consists of three or four repeats (3R/4R) due to alternative mRNA splicing of transcripts for the MAPT gene. Although a number of models for tau propagation have been reported, most use 4R human tau transgenic mice or adult wild-type mice expressing only endogenous 4R tau and these models have not been able to reproduce the pathology of Alzheimer's disease in which 3R and 4R tau accumulate simultaneously, or that of Pick's disease in which only 3R tau is aggregated. These deficiencies may reflect differences between human and rodent tau isoforms in the brain. To overcome this problem, we used genome editing techniques to generate mice that express an equal ratio of endogenous 3R and 4R tau, even after they become adults. We injected these mice with sarkosyl-insoluble fractions derived from the brains of human tauopathy patients such as those afflicted with Alzheimer's disease (3R and 4R tauopathy), corticobasal degeneration (4R tauopathy) or Pick's disease (3R tauopathy). At 8-9 months following intracerebral injection of mice, histopathological and biochemical analyses revealed that the abnormal accumulation of tau was seed-dependent, with 3R and 4R tau in Alzheimer's disease-injected brains, 4R tau only in corticobasal degeneration-injected brains and 3R tau only in Pick disease-injected brains, all of which contained isoforms related to those found in the injected seeds. The injected abnormal tau was seeded, and accumulated at the site of injection and at neural connections, predominantly within the same site. The abnormal tau newly accumulated was found to be endogenous in these mice and to have crossed the species barrier. Of particular importance, Pick's body-like inclusions were observed in Pick's disease-injected mice, and accumulations characteristic of Pick's disease were reproduced, suggesting that we have developed the first model that recapitulates the pathology of Pick's disease. These models are not only useful for elucidating the mechanism of propagation of tau pathology involving both 3R and 4R isoforms, but can also reproduce the pathology of tauopathies, which should lead to the discovery of new therapeutic agents.

New balance capability index as a screening tool for mild cognitive impairment.

BACKGROUND: Mild cognitive impairment (MCI) is not just a prodrome to dementia, but a very important intervention point to prevent dementia caused by Alzheimer's disease (AD). It has long been known that people with AD have a higher frequency of falls with some gait instability. Recent evidence suggests that vestibular impairment is disproportionately prevalent among individuals with MCI and dementia due to AD. Therefore, we hypothesized that the measurement of balance capability is helpful to identify individuals with MCI. METHODS: First, we developed a useful method to evaluate balance capability as well as vestibular function using Nintendo Wii balance board as a stabilometer and foam rubber on it. Then, 49 healthy volunteers aged from 56 to 75 with no clinically apparent cognitive impairment were recruited and the association between their balance capability and cognitive function was examined. Cognitive functions were assessed by MoCA, MMSE, CDR, and TMT-A and -B tests. RESULTS: The new balance capability indicator, termed visual dependency index of postural stability (VPS), was highly associated with cognitive impairment assessed by MoCA, and the area under the receiver operating characteristic (ROC) curve was more than 0.8, demonstrating high sensitivity and specificity (app. 80% and 60%, respectively). CONCLUSIONS: Early evidence suggests that VPS measured using Nintendo Wii balance board as a stabilometer helps identify individuals with MCI at an early and preclinical stage with high sensitivity, establishing a useful method to screen MCI.

Possible association of limbic tau pathology with psychosis or behavioral disturbances: Studies of two autopsied psychiatric patients.

Tauopathies, including Alzheimer's disease and primary age-related tauopathy (PART), present heterogeneous clinico-pathological phenotypes that include dementia, aphasia, motor neuron diseases, and psychiatric symptoms. PART is neuropathologically characterized by the presence of neurofibrillary tangles in limbic regions without significant Aß deposition, but its clinical features have not yet been fully established. Here, we present two patients with distinct psychosis and behavioral symptoms. At autopsy, these patients showed tau pathologies that could not be classified as typical PART, although PART-like neurofibrillary tangles were present in limbic regions. Clinically, both patients were admitted to mental hospitals due to severe delusions or other neuropsychiatric/behavioral symptoms. The first case presented with hallucination, delusion, and apathy at age 70, and died of pancreatic cancer at age 75. He had neuronal cytoplasmic inclusions with selective accumulation of 3Rtau in the striatum and thorn-shaped astrocytes in the amygdala. The second case, who presented with abnormal behaviors such as wandering, agitation and disinhibition, exhibited limbic neurodegeneration with massive 4R tau-positive oligodendroglial inclusions in the medial temporal white matter. His age at onset was 73, and the duration of disease was 15 years. These findings support the notion that distinct limbic tau pathology with concomitant degeneration of the related neural circuits might induce specific psychosis and behavioral symptoms. This underlines the importance of neuropathological evaluation for both clinical education and practice in the fields of neuropathology and neuropsychiatry.

Association between behavioural and psychological symptoms of dementia and residence status in patients with Alzheimer's disease.

BACKGROUND: Examining the relationship between the behavioural and psychological symptoms of dementia (BPSD) and residence status is crucial to improving BPSD and reducing the burden on caregivers. However, studies on how BPSD differ between individuals living at home and those in institutional settings are lacking. We conducted a questionnaire survey among healthcare providers (HCPs) involved in dementia care and nursing to clarify the characteristics of BPSD by residence status in patients with Alzheimer's disease (AD) living at home or in facilities. METHODS: We sent questionnaires to HCPs and asked them to answer questions on up to five cases that needed treatment for BPSD and who received long-term care insurance services from 1 April 2016 to 31 March 2017. Responses were received for 371 cases, of which 130 diagnosed with AD were analyzed. The patients were divided into two groups: patients with AD living at home (home care group) and patients with AD living in facilities (facility care group). A Chi-square test was used to identify differences between the two groups. A binomial logistic regression analysis was also conducted to clarify the association between residence status and BPSD. RESULTS: Of the 130 patients, 72 lived at home (home care group) and 58 resided in facilities (facility care group). None of the background factors was significantly different between the two groups. The Chi-square test indicated that sleep disturbance was significantly more common in the facility care group (60.3% in the facility care group vs. 33.3% in the home care group, P = 0.003), while the logistic regression analysis indicated that sleep disturbance was significantly associated with residence status (odds ratio: 2.529, P = 0.038). CONCLUSIONS: Sleep disturbances were more frequently observed among patients with AD living in institutions than among those living in their homes.

Initial symptoms of early-onset dementia in Japan: nationwide survey.

AIM: The aim of this study was to investigate initial symptoms of early-onset dementia (EOD) for each dementia subtype. METHOD: We conducted a nationwide, population-based EOD prevalence study in Japan. Data were collected through service providers for people with EOD. Initial symptoms were assessed in six domains: loss of memory, difficulty in word generation, irritability, loss of motivation, increased mistakes in the workplace or domestically, and unusual behaviours or attitudes other than those listed. RESULTS: Participants were 770 people with EOD. Characteristic initial symptoms were observed for each EOD subtype. Loss of memory was more common in early-onset Alzheimer's disease (75.7%, P < 0.001), difficulty in word generation was more common in early-onset vascular dementia (41.3%, P < 0.001), and loss of motivation, increased mistakes in the workplace or domestically, and unusual behaviours or attitudes other than those listed were more common in early-onset frontotemporal dementia (34.9%, P < 0.001; 49.4%, P < 0.001; 34.9%, P < 0.001, respectively). In addition, we observed gender differences whereby loss of memory was more common among women and irritability was more common among men. More than half of the participants were employed at symptom onset, and 57.2% of those who were employed at the onset had initial symptoms of increased mistakes in the workplace or domestically. CONCLUSION: This report reveals differences in the frequency of initial symptoms by EOD subtype. The results contribute to increasing public awareness of the initial symptoms of EOD, which will facilitate early diagnosis and social support.

Mental Health of Caregivers Working in Nursing Homes during the COVID-19 Pandemic.

INTRODUCTION: There have been numerous reports of cluster outbreaks of coronavirus disease 2019 (COVID-19) in hospitals and nursing homes. Healthcare workers fighting COVID-19 experience mental health issues. Caregivers in nursing homes experienced increased psychological distress and concern about deterioration of their mental health. We conducted a large-scale web-based survey exploring mental health among caregivers working in nursing homes during the COVID-19 pandemic with the aim of identifying their support needs. METHODS: Survey participants were caregivers working at 284 nursing homes in Ibaraki prefecture, Japan. The survey period was from September 2020 to March 2021. Participants responded to a questionnaire covering gender, age, occupation, infections at facilities, infection protection, changes in nursing home users, cooperation with other medical institutions, and prejudice/discrimination. The Hospital Anxiety and Depression Scale (HADS) was used to evaluate participants' depression and anxiety. RESULTS: In total, 676 participants completed the survey; 350 (52.5%) were with anxiety symptoms and 378 (56.7%) were with depressive symptoms (scores exceeding the HADS cut-off points). The risk for anxiety was associated with being care worker or social worker. The risk of anxiety or depression was high when family caregivers' mental state changed. DISCUSSION/CONCLUSION: This study found that caregivers working in nursing homes were exposed to high levels of stress during the COVID-19 pandemic and were at high risk for developing depression and anxiety.

Structural Cerebral Network Differences in Prodromal Alzheimer's Disease and Prodromal Dementia with Lewy Bodies.

INTRODUCTION: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) have long prodromal phases without dementia. However, the patterns of cerebral network alteration in this early stage of the disease remain to be clarified. METHOD: Participants were 48 patients with mild cognitive impairment (MCI) due to AD (MCI-AD), 18 patients with MCI with DLB (MCI with Lewy bodies: MCI-LB), and 23 healthy controls who underwent a 1.5-Tesla magnetic resonance imaging scan. Cerebral networks were extracted from individual T1-weighted images based on the intracortical similarity, and we estimated the differences of network metrics among the three diagnostic groups. RESULTS: Whole-brain analyses for degree, betweenness centrality, and clustering coefficient images were performed using SPM8 software. The patients with MCI-LB showed significant reduction of degree in right putamen, compared with healthy subjects. The MCI-AD patients showed significant lower degree in left insula and bilateral posterior cingulate cortices compared with healthy subjects. There were no significant differences in small-world properties and in regional gray matter volume among the three groups. CONCLUSIONS: We found the change of degree in the patients with MCI-AD and with MCI-LB, compared with healthy controls. These findings were consistent with the past single-photon emission computed tomography studies focusing on AD and DLB. The disease-related difference in the cerebral neural network might provide an adjunct biomarker for the early detection of AD and DLB.

The Multicomponent Day-Care Program Prevents Volume Reduction in a Memory-Related Brain Area in Patients with Mild Cognitive Impairment.

INTRODUCTION: Mild cognitive impairment (MCI) is considered an important period for interventions to prevent progression to dementia. Nonpharmacological interventions for MCI include exercise training, cognitive intervention, and music therapy. These play an important role in improving cognitive function, but their effects on brain plasticity in individuals with MCI are largely unknown. We investigated the effects of a multicomponent day-care program provided by the University of Tsukuba Hospital on the longitudinal brain volume changes in MCI patients. METHODS: MCI patients who participated in the multicomponent day-care program and underwent whole-brain magnetic resonance imaging (MRI) twice during their participation (n = 14), were included. We divided them into two groups according to their attendance rate and conducted a between-group analysis of longitudinal volume changes in the whole cerebral cortex. Regional brain volumes derived from the patients' MRI were calculated with Freesurfer 6.0.0. RESULTS: The neuroimaging analysis demonstrated that the left rostral anterior cingulate cortex volume was significantly preserved in the high-attendance group compared to that of the low-attendance group. CONCLUSION: Our results suggest that continuous participation in a multicomponent day-care program could help prevent a volume reduction in memory-related brain areas in patients with MCI.

Development of informant-reported or self-reported MCI-J questionnaire.

Several studies have reported a high prevalence of missed and delayed mild cognitive impairment (MCI) or mild dementia diagnosis, which could lead to delayed treatment and increased patient and caregiver burden. OBJECTIVES: This study aimed to develop a new questionnaire for nonprofessionals to help detect early signs of MCI and dementia. Respondents included patients, family caregivers, or health professionals. Scores are calculated based on the respondent type and age of subject. METHODS: This study consisted of four steps and included 461 respondents. Steps 1-3 were conducted by a working group, and step 4, by 67 specialist members of the Japanese Society of Geriatric Psychiatry. A scoring algorithm was created and predictive diagnostic probability was analyzed using misdiscrimination rate and cross-validation after item selection to establish a cut-off value for MCI or dementia symptoms. Alzheimer's disease, Lewy body dementia, and frontotemporal dementia were diagnosed. RESULTS: The prediction error rate for patient or informant respondents was confirmed from the evaluation results of 13 items. Sensitivity and specificity were 90.6% and 56.6%, respectively, with a cut-off score of 2. Overall, 82% (61 pairs) of respondents received a definitive diagnosis following a diagnosis from the questionnaire. CONCLUSIONS: This questionnaire could promote earlier presentation to clinical settings for treatment. The high sensitivity indicates the utility of this instrument, but it is not meant as a definitive diagnostic tool and should be followed with a professional assessment.

The Mental Health of Long-Term Evacuees outside Fukushima Prefecture after the Great East Japan Earthquake.

Ten years after the Great East Japan Earthquake, thousands of residents of Fukushima Prefecture were still living as evacuees. Among them, unignorable numbers of people were living outside of the prefecture. A survey was conducted with evacuees to Ibaraki, the neighboring prefecture of Fukushima, to investigate their medium- to long-term mental care needs. A questionnaire was sent to 1,470 households that had been living in Fukushima on March 11, 2011, and who were evacuated to Ibaraki by October 2016. Binary logistic regression analyses were performed to identify risk factors for major depressive disorder, post-traumatic stress disorder (PTSD), and suicidal ideation. Of the participants, 16.5% had a high risk for major depressive disorder, 39.0% exhibited a high risk for PTSD, and 19.7% indicated suicidal ideation. "Own injuries and illnesses" and "Worries about the hometown" were risk factors for major depressive disorder, PTSD, and suicidal ideation. "Not receiving compensation for damages" was a risk factor common to major depressive disorder and suicidal ideation. There is a high possibility that many people who have evacuated to other prefectures might still be suffering from psychological symptoms after the disaster. Worries about their hometowns were highly related to their mental disorders.

Relationships between the Fear of COVID-19 Scale and regional brain atrophy in mild cognitive impairment.

BACKGROUND: Several studies have reported that the pandemic of coronavirus disease 2019 (COVID-19) influenced cognitive function in the elderly. However, the effect of COVID-19-related fear on brain atrophy has not been evaluated. In this study, we evaluated the relation between brain atrophy and the effect of COVID-19-related fear by analysing changes in brain volume over time using magnetic resonance imaging (MRI). METHODS: Participants were 25 Japanese patients with mild cognitive impairment (MCI) or subjective cognitive decline (SCD), who underwent 1.5-tesla MRI scan twice, once before and once after the pandemic outbreak of COVID-19, and the Fear of Coronavirus Disease 2019 Scale (FCV-19S) assessment during that period. We computed regional brain atrophy per day between the 1st and 2nd scan, and evaluated the relation between the FCV-19S scores and regional shrinkage. RESULTS: There was significant positive correlation between the total FCV-19S score and volume reduction per day in the right posterior cingulate cortex. Regarding the subscales of FCV-19S, we found significant positive correlation between factor 2 of the FCV-19S and shrinkage of the right posterior cingulate cortex. CONCLUSIONS: There was positive correlation between the FCV-19S score and regional brain atrophy per day. Although it is already known that the psychological effects surrounding the COVID-19 pandemic cause cognitive function decline, our results further suggest that anxiety and fear related to COVID-19 cause regional brain atrophy.

Effects of a multicomponent day-care program on cerebral blood flow in patients with mild cognitive impairment.

BACKGROUND: Mild cognitive impairment (MCI) is a prodromal phase of dementia and is considered an important period for intervention to prevent conversion to dementia. It has been well established that multicomponent day-care programs including exercise training, cognitive intervention and music therapy have beneficial effects on cognition, but the effects on cerebral blood flow (CBF) in MCI remain unknown. This study examined whether a multicomponent day-care program would have beneficial effects on the longitudinal changes of CBF in MCI patients. METHODS: Participants were 24 patients with MCI attending a day-care program; they underwent two 99 mTc-ethyl cysteinate dimer single photon emission computed tomography scans during the study period. We evaluated the association between the changes of regional cerebral blood flow and the attendance rate. RESULTS: There was a significant negative correlation between the reduction of regional CBF in the right parietal region and the attendance rate. We found no significant relation between the baseline CBF images and the attendance rate. CONCLUSIONS: Our results suggest that continuous participation in a multicomponent day-care program might prevent reduction in brain activity in patients with MCI.

Distinct early symptoms in neuropathologically proven frontotemporal lobar degeneration.

OBJECTIVES: Frontotemporal lobar degeneration (FTLD) is associated with accumulation of neurodegeneration-related protein, such as tau, TAR DNA-binding protein 43 (TDP-43), or fused in sarcoma protein (FUS). There have been very few systematic studies of the early symptoms of clinical phenotypes: behavioral variant frontotemporal dementia (bvFTD), semantic variant primary progressive aphasia (svPPA). Clinical subtypes and the patterns of atrophy reflect protein-accumulation patterns, but the relationship between early symptoms and pathological findings remains unclear. METHODS: We retrospectively investigated the clinical records and examined the neuropathology of 39 bvFTD and 6 svPPA patients to identify symptoms appearing within 2 years of the first clinically apparent changes. RESULTS: The bvFTD group consisted of 13 FTLD-tau, 18 FTLD-TDP, and 8 FTLD-FUS, and the svPPA group consisted of 6 FTLD-TDP. Age at death is significantly younger in FTLD-FUS (52.8 ± 12.6; P = 0.0104 < 0.05). Over 50% of bvFTD patients show apathy or inertia, and distinct language features appear early in svPPA. Interestingly, bvFTD and svPPA frequently present additional symptoms, not included in the diagnostic criteria, such as physical signs, reticence, dazed condition, and delusions. Stereotyped behaviors, hyperorality and dietary changes are prominent in FTLD-FUS, while linguistic deficits are greater in FTLD-TDP. CONCLUSIONS: Specific symptoms tend to appear in the early stage of FTLD in each pathological background. They might reflect the morphological features and pathological progression, and should be helpful in the stratification of patients for future therapeutic trials based on the proteinopathies.

Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study.

BACKGROUND: With the rapid growth of the older adult population worldwide, car accidents involving this population group have become an increasingly serious problem. Cognitive impairment, which is assessed using neuropsychological tests, has been reported as a risk factor for being involved in car accidents; however, it remains unclear whether this risk can be predicted using daily behavior data. OBJECTIVE: The objective of this study was to investigate whether speech data that can be collected in everyday life can be used to predict the risk of an older driver being involved in a car accident. METHODS: At baseline, we collected (1) speech data during interactions with a voice assistant and (2) cognitive assessment data-neuropsychological tests (Mini-Mental State Examination, revised Wechsler immediate and delayed logical memory, Frontal Assessment Battery, trail making test-parts A and B, and Clock Drawing Test), Geriatric Depression Scale, magnetic resonance imaging, and demographics (age, sex, education)-from older adults. Approximately one-and-a-half years later, we followed up to collect information about their driving experiences (with respect to car accidents) using a questionnaire. We investigated the association between speech data and future accident risk using statistical analysis and machine learning models. RESULTS: We found that older drivers (n=60) with accident or near-accident experiences had statistically discernible differences in speech features that suggest cognitive impairment such as reduced speech rate (P=.048) and increased response time (P=.040). Moreover, the model that used speech features could predict future accident or near-accident experiences with 81.7% accuracy, which was 6.7% higher than that using cognitive assessment data, and could achieve up to 88.3% accuracy when the model used both types of data. CONCLUSIONS: Our study provides the first empirical results that suggest analysis of speech data recorded during interactions with voice assistants could help predict future accident risk for older drivers by capturing subtle impairments in cognitive function.

Structural Brain Network Correlated with Reading Impairment in Alzheimer's Disease.

AIM: Alzheimer's disease (AD) is the most common age-related neurodegenerative disease and leads to dementia. AD is characterized by progressive declines in memory and, as the disease progresses, language dysfunction. Although it has been reported that AD patients show progressive aphasia, no study has examined the relationship between language functions estimated by the Standard Language Test for Aphasia (SLTA) and brain network connectivity in Japanese AD patients. If present, such a relationship would be of particular interest because Japanese speakers are accustomed to mingling ideography and phonography. METHODS: 22 Japanese patients with AD who underwent 1.5-tesla MRI scan and SLTA, the scale for speech and reading impairment, participated in this study. We computed brain network connectivity metrics such as degree, betweenness centrality, and clustering coefficient, and estimated their relationships with the subscores of SLTA. RESULTS: There was a significant negative correlation between the score for "reading aloud Kanji words" and the clustering coefficient in the left inferior temporal region, bilateral hippocampal regions, and right parietotemporal region. We also found a significant negative correlation between the score for "auditory comprehension of words" and the clustering coefficient in the left prefrontal region. No significant relationship was found between the other SLTA scores and the network metrics. CONCLUSIONS: Our data suggest relationships between reading impairments and regional brain network connectivity in Japanese patients with AD. The brain connectome may provide adjunct biological information that could improve our understanding of reading impairment.

Visualizing the Process of Disaster Mental Health Services in the Joso Flood by Network Analyses of Emails.

Joso City, Ibaraki Prefecture, Japan was severely affected by flooding of the River Kinugawa in September 2015. Local psychiatric organizations immediately began providing disaster mental health services (DMHS). In post-disaster settings, DMHS involving organizational interventions by multiple regional institutions are required to support disaster victims. However, little is known about the process of coordinating multiple institutions or determining whether appropriate support has been provided. To elucidate the characteristics of communications that enable effective disaster medical team formation, we conducted network analyses of sender-recipient pairs of emails during the period of DMHS activity. The network analysis is a research method that represents various objects as a network of nodes and edges and explores their structural characteristics. We obtained 2,450 time-series emails from five core members of DMHS, including 32,865 pairs of senders and recipients. The network generated by the emails was scale-free, and its structure changed according to the phases of disaster recovery. In the ultra-acute phase, which lasted about 1 week, spreading information and recruiting people to provide disaster support was given the highest priority. In the acute phase, which lasted about 1 month, support and swift decision-making were essential for directing large numbers of staff. In the mid- to long-term phase, support for staff to share information and experience in small groups was observed. Network analyses have revealed that disaster medical teams must change their communication styles during the mission to adapt to different health needs corresponding to each post-disaster phase.

Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real-world multisite study.

AIM: Neuroimaging studies have revealed that patients with schizophrenia exhibit reduced gray matter volume in various regions. With these findings, various studies have indicated that structural MRI can be useful for the diagnosis of schizophrenia. However, multisite studies are limited. Here, we evaluated a simple model that could be used to differentiate schizophrenia from control subjects considering MRI scanner differences employing voxel-based morphometry. METHODS: Subjects were 541 patients with schizophrenia and 1252 healthy volunteers. Among them, 95 patients and 95 controls (Dataset A) were used for the generation of regions of interest (ROI), and the rest (Dataset B) were used to evaluate our method. The two datasets were comprised of different subjects. Three-dimensional T1-weighted MRI scans were taken for all subjects and gray-matter images were extracted. To differentiate schizophrenia, we generated ROI for schizophrenia from Dataset A. Then, we determined volume within the ROI for each subject from Dataset B. Using the extracted volume data, we calculated a differentiation feature considering age, sex, and intracranial volume for each MRI scanner. Receiver-operator curve analyses were performed to evaluate the differentiation feature. RESULTS: The area under the curve ranged from 0.74 to 0.84, with accuracy from 69% to 76%. Receiver-operator curve analysis with all samples revealed an area under the curve of 0.76 and an accuracy of 73%. CONCLUSION: We moderately successfully differentiated schizophrenia from control using structural MRI from differing scanners from multiple sites. This could be useful for applying neuroimaging techniques to clinical settings for the accurate diagnosis of schizophrenia.

Prevalence and subtype distribution of early-onset dementia in Japan.

AIM: People living with early-onset dementia (EOD) have specific social needs. Epidemiological studies are needed to obtain current information and provide appropriate service planning. This study aimed to clarify the current prevalence and subtype distribution of EOD, as well as the services frequently used by individuals with EOD. METHODS: A multisite, population-based, two-step study was conducted. Questionnaires were sent to 26 416 candidate facilities in 12 areas with a target population of 11 630 322 to inquire whether any individuals with EOD had sought services or stayed during the last 12 months (step 1). When "yes" responses were received, additional questionnaires were sent to the facilities both to complete and to distribute to the target individuals with EOD to obtain more detailed information, including the dementia subtype (step 2). RESULTS: In step 1, valid responses were obtained from 16 848 facilities (63.8%), and 4077 cases were identified. In step 2, detailed information was obtained for 1614 cases (39.6%) from the facilities and 530 cases (13.0%) from the individuals. The national EOD prevalence rate was estimated to be 50.9/100 000 population at risk (95% confidence interval: 43.9-57.9; age range, 18-64 years). The number of individuals with EOD was estimated to be 35 700 as of 2018. Alzheimer-type dementia (52.6%) was the most frequent subtype, followed by vascular dementia (17.1%), frontotemporal dementia (9.4%), dementia due to traumatic brain injury (4.2%), dementia with Lewy bodies/Parkinson's disease dementia (4.1%), and dementia due to alcohol-related disorders (2.8%). Individuals with EOD were most frequently identified at medical centers for dementia. CONCLUSION: The prevalence rate estimated in this study was comparable to those in previous studies in Japan. However, the subtype distribution differed, with Alzheimer-type dementia being the most prominent. Based on the case identification frequencies, medical centers for dementia are expected to continue to function as the primary special health service by providing quality diagnosis and post-diagnostic support for individuals with EOD.

The basis of clinicopathological heterogeneity in TDP-43 proteinopathy.

Transactive response DNA-binding protein 43 kDa (TDP-43) was identified as a major disease-associated component in the brain of patients with amyotrophic lateral sclerosis (ALS), as well as the largest subset of patients with frontotemporal lobar degeneration with ubiquitinated inclusions (FTLD-U), which characteristically exhibits cytoplasmic inclusions that are positive for ubiquitin but negative for tau and α-synuclein. TDP-43 pathology occurs in distinct brain regions, involves disparate brain networks, and features accumulation of misfolded proteins in various cell types and in different neuroanatomical regions. The clinical phenotypes of ALS and FTLD-TDP (FTLD with abnormal intracellular accumulations of TDP-43) correlate with characteristic distribution patterns of the underlying pathology across specific brain regions with disease progression. Recent studies support the idea that pathological protein spreads from neuron to neuron via axonal transport in a hierarchical manner. However, little is known to date about the basis of the selective cellular and regional vulnerability, although the information would have important implications for the development of targeted and personalized therapies. Here, we aim to summarize recent advances in the neuropathology, genetics and animal models of TDP-43 proteinopathy, and their relationship to clinical phenotypes for the underlying selective neuronal and regional susceptibilities. Finally, we attempt to integrate these findings into the emerging picture of TDP-43 proteinopathy, and to highlight key issues for future therapy and research.