Neuroimaging in Alzheimer's disease: current role in clinical practice and potential future applications

Alzheimer's disease is the most common cause of dementia and its prevalence is expected to increase in the coming years. Therefore, accurate diagnosis is crucial for patients, clinicians and researchers. Neuroimaging techniques have provided invaluable information about Alzheimer's disease and, owing to recent advances, these methods will have an increasingly important role in research and clinical practice. The purpose of this article is to review recent neuroimaging studies of Alzheimer's disease that provide relevant information to clinical practice, including a new modality: in vivo amyloid imaging. Magnetic resonance imaging, single photon emission computed tomography and 18F-fluorodeoxyglucose-positron emission tomography are currently available for clinical use. Patients with suspected Alzheimer's disease are commonly investigated with magnetic resonance imaging because it provides detailed images of brain structure and allows the identification of supportive features for the diagnosis. Neurofunctional techniques such as single photon emission computed tomography and 18F-fluorodeoxyglucose-positron emission tomography can also be used to complement the diagnostic investigation in cases of uncertainty. Amyloid imaging is a non-invasive technique that uses positron emission tomography technology to investigate the accumulation of the β-amyloid peptide in the brain, which is a hallmark of Alzheimer's disease. This is a promising test but currently its use is restricted to very few specialized research centers in the world. Technological innovations will probably increase its availability and reliability, which are the necessary steps to achieve robust clinical applicability. Thus, in the future it is likely that amyloid imaging techniques will be used in the clinical evaluation of patients with Alzheimer's disease

Brain function at rest and recovery of autobiographical memory in the elderly: a functional magnetic resonance imaging study

INTRODUÇÃO: As bases neurofisiológicas do declínio cognitivo associado ao envelhecimento normal ainda não são adequadamente conhecidas. Estudos sobre conectividade funcional cerebral estimada através de imagens por ressonância magnética funcional durante o repouso têm identificado diminuições de conectividade dentro da rede de modo padrão (default mode network) em idosos e correlações entre desempenho cognitivo e conectividade funcional. Há evidências de que idosos apresentam maior dificuldade em recuperar informações episódicas de eventos autobiográficos mas não existem investigações sobre a relação entre tal função cognitiva e conectividade de repouso. Além disso, estudos desta área geralmente não têm utilizado entrevista psiquiátrica para seleção da amostra, apesar de transtornos psiquiátricos apresentarem alta prevalência, serem subdiagnosticados e afetarem o funcionamento cerebral. OBJETIVOS: caracterizar as mudanças de conectividade funcional de repouso associadas a idade e a desempenho cognitivo, em especial à função de memória autobiográfica, em uma amostra de adultos de diferentes idades e livres de deficiências cognitivas e de transtornos psiquiátricos. MÉTODOS: adultos jovens, de meia idade e idosos sem transtornos cognitivos ou psiquiátricos foram selecionados através de avaliação neuropsicológica e entrevista psiquiátrica estruturada. Quantificamos o desempenho em recuperar informações episódicas de eventos autobiográficos. Conectividade funcional cerebral foi estimada a partir de imagens de ressonância magnética funcional adquiridas durante o repouso vigil, utilizando um atlas de 278 regiões englobando todo o cérebro. As relações entre conectividade e idade e conectividade e desempenho cognitivo foram avaliadas através do método dos quadrados parciais mínimos. RESULTADOS: em uma amostra de 59 adultos (19 jovens, 20 de meia idade e 20 idosos), idade apresentou correlação negativa com desempenho cognitivo geral, mas sua relação com memória autobiográfica não foi significativa. Caracterizamos um padrão de conectividade associado ao envelhecimento caracterizado por aumento difuso de magnitude de correlações positivas entre diferentes circuitarias, diminuições de magnitude de anticorrelação envolvendo principalmente as conexões entre a rede de modo padrão e as redes atencionais e uma perda de correlações positivas intra-circuitarias, especialmente dentro do sistema visual e da rede de modo padrão. Não identificamos um padrão de conectividade associado a desempenho cognitivo geral ou autobiográfico. DISCUSSÃO: idade mostrou-se negativamente correlacionada com desempenho cognitivo geral. Os resultados sugerem que o efeito do envelhecimento sobre memória autobiográfica seja de menor tamanho e/ou sujeito a maiores variações entre estudos. O padrão de mudanças de conectividade associado ao envelhecimento que encontramos inclui os achados mais comumente descritos na literatura (diminuições de conectividade intra-circuitaria) mas também abrange mudanças funcionais mais amplas (aumentos difusos de correlação positiva e ! ! xii perdas de anticorrelação). Estes achados estão em linha com a hipótese de que o cérebro sofre um processo de desdiferenciação durante o envelhecimento no qual há perda de diversidade funcional. CONCLUSÃO: Na presente amostra não identificamos relação entre desempenho em memória autobiográfica e idade. Envelhecimento normal, inclusive em voluntários sem transtornos mentais, está associado a um aumento difuso de correlações positivas entre diferentes circuitarias, a perdas focais de anticorrelação, especialmente entre a rede de modo padrão e as redes atencionais e a uma redução de conectividade dentro da rede de modo padrão e da rede visualINTRODUCTION: The neurophysiological basis of the cognitive decline associated with aging is not yet known. Brain functional connectivity studies using functional magnetic resonance images acquired during rest have shown that aging is associated with decreases in connectivity within the default mode network. Moreover, cognitive performance has been associated with resting functional connectivity. There is evidence that older adults present worse performance during retrieval of episodic information from autobiographical events but there is no investigation regarding the relationship between functional connectivity at rest and this cognitive function. Moreover, studies in this field have not applied a structured psychiatric interview to select the sample, although it is known that psychiatric disorders present high prevalence, are underdiagnosed and are associated with functional abnormalities. OBJECTIVES: to characterize changes in resting-state functional connectivity associated with age and cognitive performance, especially with autobiographical memory, in adults from different ages, free of cognitive deficits and psychiatric disorders. METHODS: using a neuropsychological evaluation and a structured psychiatric interview we selected a sample of young, middle aged and elderly adults free of cognitive and psychiatric disorders. We measured the performance to recover episodic information from autobiographical events. Brain functional connectivity was estimated from resting-state functional magnetic resonance images acquired during rest, using a whole-brain 278-region atlas. We used partial least squares to characterize the relationships between connectivity and age and connectivity and cognitive performance. RESULTS: in a sample of 59 adults (19 young, 20 middle aged and 20 elderly), age was negatively correlated with general cognitive performance but its relationship with autobiographical memory was not statistically significant. The pattern of connectivity changes associated with aging was characterized by a diffuse increase in the magnitude of positive correlations between different networks, decreases in magnitude of anticorrelations (especially between the default mode network and the attentional networks) and a loss of within-network positive correlations (mainly within the visual system and the default mode network). We did not find a pattern of connectivity associated with general cognitive performance or with autobiographical memory. DISCUSSION: age was negatively correlated with general cognitive performance. The results suggest that the effect of age on autobiographical memory is smaller and/or present greater between-study variability. The age-related pattern of changes in connectivity found in this study includes the most commonly reported findings in the literature (decreases in withinnetwork connectivity) but it also contains broader functional changes (diffuse increases in positive correlations and losses of anticorrelations). These findings are in accordance with the hypothesis that the brain undergoes dedifferentiation processes during aging with loss of functional diversity. CONCLUSION: in our sample, we could not identify a significant relationship between age and autobiographical memory. Normal aging, even in individuals with no mental disorder, is associated with an increase in positive correlations between different brain networks, focal losses of anticorrelations (especially between the default mode network and the attentional networks) and reductions in connectivity within the default mode network and the visual syste

Experimental model: historic and conceptual revision

UNIFESP-EPM Chairwoman and Head of Plastic surgery DivisionFMUSPUNIFESP, EPM, Chairwoman and Head of Plastic surgery DivisionSciEL

Experimental model for composite tissue allotransplantations Modelo experimental para alotransplantes de tecido composto

In homologous transplantation or allotranplantation of limbs, the great tissue diversity causes variability in the rejection process and, consequently, its immunology is very complex. Thus, limb transplantation is the most used prototype of compound tissue transplantation among the protocols of experimental studies. Composite tissue allotransplantation represents the experimental model to study the homologous transplantation (from an individual to another) of vascularized, innervated musclecutaneous units, joints, bone or even the whole member. Groups of rats were undergone allogeneic hindlimb transplantation. The receptors were randomized and control groups were established as: Control Group A: Autograft controls (F344 rats had its limbs reimplanted) and no immunosuppressive therapy. Control Group B: Allograft controls (BN rats limbs were transplanted to F344). Composite tissue homotransplantation allows the inclusion of innervated muscle-cutaneous units, joint and bone or even the hole limb, is considerably applicable in cases of congenital absence or deformity, trauma or greater resection due to malignant tumor. For many complex deformities, these transplantations would allow a more precise reconstruction than the current reconstruction techniques.<br>Nos transplantes alógenos de membro a grande variabilidade de tecidos (pele, subcutâneo, músculo, osso, medula óssea, gânglios linfáticos, cartilagem, nervo, vasos, tendão, articulação) leva a grande variação dentro do processo de rejeição e consequentemente a sua imunologia é bastante complexa. Os transplantes alógenos de tecido composto representam o modelo experimental para se estudar o transplante homólogo (de um indivíduo para outro) de unidades músculo cutâneas inervadas, vascularizadas, articulações, osso ou mesmo de todo o membro. Os receptores foram randomizados e os grupos controle foram estabelecidos como: grupo controle A: transplante autógeno de membro em que ratos F344 tiveram o seu membro reimplantado e nenhuma medicação foi administrada e grupo controle B: transplante alógeno de membro (TAM) em que o membro dos ratos BN foi transplantado para os ratos F344 cujo membro havia sido amputado. Os transplantes homólogos de tecido composto (THTC) que possibilitam a inclusão de unidades músculo-cutâneas inervadas, articulação e osso ou mesmo de todo o membro, tem considerável aplicação nos casos de ausência ou deformidade congênita, trauma ou ressecção maior devido a tumor maligno. Para muitas deformidades complexas, estes THTC permitiriam uma reconstrução mais precisa do que as atuais técnicas reconstrutoras correntes

Functional connectivity in behavioral variant frontotemporal dementia

Introduction: Functional connectivity (FC)—which reflects relationships between neural activity in different brain regions—has been used to explore the functional architecture of the brain in neurodegenerative disorders. Although an increasing number of studies have explored FC changes in behavioral variant frontotemporal dementia (bvFTD), there is no focused, in-depth review about FC in bvFTD. Methods: Comprehensive literature search and narrative review to summarize the current field of FC in bvFTD. Results: (1) Decreased FC within the salience network (SN) is the most consistent finding in bvFTD; (2) FC changes extend beyond the SN and affect the interplay between networks; (3) results within the Default Mode Network are mixed; (4) the brain as a network is less interconnected and less efficient in bvFTD; (5) symptoms, functional impairment, and cognition are associated with FC; and (6) the functional architecture resembles patterns of neuropathological spread. Conclusions: FC has potential as a biomarker, and future studies are expected to advance the field with multicentric initiatives, longitudinal designs, and methodological advances

Clinical and demographic differences between voluntary and involuntary psychiatric admissions in a university hospital in Brazil

To assess the frequency of involuntary psychiatric hospitalizations from 2001 to 2008 and to determine associated clinical and socio-demographic characteristics, a retrospective cohort study was conducted. Adult admission data were collected from a university hospital in Brazil. Hospitalizations were classified as voluntary (VH) or involuntary (IH). Groups were compared using chi-square test for categorical variables and Mann-Whitney test for continuous non-parametric variables. The relative risk of certain events was estimated by the odds ratio statistic. Of 2,289 admissions, 13.3% were IH. The proportion of IH increased from 2.5% to 21.2% during the eight year period. IH were more frequently associated with female gender, unmarried status, unemployment, and more than 9 years of schooling. Psychotic symptoms were more common among IH. There were no differences in age, duration of hospitalization, or rate of attendance at first appointment after hospital discharge. Understanding of the characteristics associated with IH is necessary to improve the treatment of psychiatric disorders

White matter abnormalities associated with Alzheimer's disease and mild cognitive impairment: A critical review of MRI studies

In this article, the authors aim to present a critical review of recent MRI studies addressing white matter (WM) abnormalities in Alzheimer's disease (AD) and mild cognitive impairment (MCI), by searching PubMed and reviewing MRI studies evaluating subjects with AD or MCI using WM volumetric methods, diffusion tensor imaging and assessment of WM hyperintensities. Studies have found that, compared with healthy controls, AD and MCI samples display WM volumetric reductions and diffusion tensor imaging findings suggestive of reduced WM integrity. These changes affect complex networks relevant to episodic memory and other cognitive processes, including fiber connections that directly link medial temporal structures and the corpus callosum. Abnormalities in cortico-cortical and cortico-subcortical WM interconnections are associated with an increased risk of progression from MCI to dementia. It can be concluded that WM abnormalities are detectable in early stages of AD and MCI. Degeneration of WM networks causes disconnection among neural cells and the degree of such changes is related to cognitive decline. © 2013 2013 Expert Reviews Ltd

Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases

Background: Machine learning techniques such as support vector machine (SVM) have been applied recently in order to accurately classify individuals with neuropsychiatric disorders such as Alzheimer's disease (AD) based on neuroimaging data. However, the multivariate nature of the SVM approach often precludes the identification of the brain regions that contribute most to classification accuracy. Multiple kernel learning (MKL) is a sparse machine learning method that allows the identification of the most relevant sources for the classification. By parcelating the brain into regions of interest (ROI) it is possible to use each ROI as a source to MKL (ROI-MKL). Methods: We applied MKL to multimodal neuroimaging data in order to: 1) compare the diagnostic performance of ROI-MKL and whole-brain SVM in discriminating patients with AD from demographically matched healthy controls and 2) identify the most relevant brain regions to the classification. We used two atlases (AAL and Brodmann's) to parcelate the brain into ROIs and applied ROI-MKL to structural (T1) MRI, 18F-FDG-PET and regional cerebral blood flow SPECT (rCBF-SPECT) data acquired from the same subjects (20 patients with early AD and 18 controls). In ROI-MKL, each ROI received a weight (ROI-weight) that indicated the region's relevance to the classification. For each ROI, we also calculated whether there was a predominance of voxels indicating decreased or increased regional activity (for 18F-FDG-PET and rCBF-SPECT) or volume (for T1-MRI) in AD patients. Results: Compared to whole-brain SVM, the ROI-MKL approach resulted in better accuracies (with either atlas) for classification using 18F-FDG-PET (92.5% accuracy for ROI-MKL versus 84% for whole-brain), but not when using rCBF-SPECT or T1-MRI. Although several cortical and subcortical regions contributed to discrimination, high ROI-weights and predominance of hypometabolism and atrophy were identified specially in medial parietal and temporo-limbic cortical regions. Also, the weight of discrimination due to a pattern of increased voxel-weight values in AD individuals was surprisingly high (ranging from approximately 20% to 40% depending on the imaging modality), located mainly in primary sensorimotor and visual cortices and subcortical nuclei. Conclusion: The MKL-ROI approach highlights the high discriminative weight of a subset of brain regions of known relevance to AD, the selection of which contributes to increased classification accuracy when applied to 18F-FDG-PET data. Moreover, the MKL-ROI approach demonstrates that brain regions typically spared in mild stages of AD also contribute substantially in the individual discrimination of AD patients from controls. Keywords: Alzheimer's Disease, MRI, PET, SPECT, Multiple kernel learning, Brain atla