Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator.

Deep brain stimulation (DBS) for Parkinson\u27s disease (PD) is an established advanced therapy that produces therapeutic effects through high frequency stimulation. Although this therapeutic option leads to improved clinical outcomes, the mechanisms of the underlying efficacy of this treatment are not well understood. Therefore, investigation of DBS and its postoperative effects on brain architecture is of great interest. Diffusion weighted imaging (DWI) is an advanced imaging technique, which has the ability to estimate the structure of white matter fibers; however, clinical application of DWI after DBS implantation is challenging due to the strong susceptibility artifacts caused by implanted devices. This study aims to evaluate the feasibility of generating meaningful white matter reconstructions after DBS implantation; and to subsequently quantify the degree to which these tracts are affected by post-operative device-related artifacts. DWI was safely performed before and after implanting electrodes for DBS in 9 PD patients. Differences within each subject between pre- and post-implantation FA, MD, and RD values for 123 regions of interest (ROIs) were calculated. While differences were noted globally, they were larger in regions directly affected by the artifact. White matter tracts were generated from each ROI with probabilistic tractography, revealing significant differences in the reconstruction of several white matter structures after DBS. Tracts pertinent to PD, such as regions of the substantia nigra and nigrostriatal tracts, were largely unaffected. The aim of this study was to demonstrate the feasibility and clinical applicability of acquiring and processing DWI post-operatively in PD patients after DBS implantation. The presence of global differences provides an impetus for acquiring DWI shortly after implantation to establish a new baseline against which longitudinal changes in brain connectivity in DBS patients can be compared. Understanding that post-operative fiber tracking in patients is feasible on a clinically-relevant scale has significant implications for increasing our current understanding of the pathophysiology of movement disorders, and may provide insights into better defining the pathophysiology and therapeutic effects of DBS

Early detection of idiopathic Parkinson's disease based on magnetic resonance imaging

The diagnosis of idiopathic Parkinson's disease (IPD) is entirely clinical. The fact that neuronal damage begins 5-10 years before occurrence of sub-clinical signs, underlines the importance of preclinical diagnosis. A new approach for in-vivo pathophysiological assessment of IPD-related neurodegeneration was implemented based on recently developed neuroimaging methods. It is based on non- invasive magnetic resonance data sensitive to brain tissue property changes that precede macroscopic atrophy in the early stages of IPD. This research aims to determine the brain tissue property changes induced by neurodegeneration that can be linked to clinical phenotypes which will allow us to create a predictive model for early diagnosis in IPD. We hypothesized that the degree of disease progression in IPD patients will have a differential and specific impact on brain tissue properties used to create a predictive model of motor and non-motor impairment in IPD. We studied the potential of in-vivo quantitative imaging sensitive to neurodegeneration- related brain tissue characteristics to detect changes in patients with IPD. We carried out methodological work within the well established SPM8 framework to estimate the sensitivity of tissue probability maps for automated tissue classification for detection of early IPD. We performed whole-brain multi parameter mapping at high resolution followed by voxel-based morphometric (VBM) analysis and voxel-based quantification (VBQ) comparing healthy subjects to IPD patients. We found a trend demonstrating non-significant tissue property changes in the olfactory bulb area using the MT and R1 parameter with p<0.001. Comparing to the IPD patients, the healthy group presented a bilateral higher MT and R1 intensity in this specific functional region. These results did not correlate with age, severity or duration of disease. We failed to demonstrate any changes with the R2* parameter. We interpreted our findings as demyelination of the olfactory tract, which is clinically represented as anosmia. However, the lack of correlation with duration or severity complicates its implications in the creation of a predictive model of impairment in IPD

Neuroimaging biomarkers associated with clinical dysfunction in Parkinson disease

Parkinson disease (PD) is the second most common neurodegenerative disorder in the world, directly affecting 2-3% of the population over the age of 65. People diagnosed with the disorder can experience motor, autonomic, cognitive, sensory and neuropsychiatric symptoms that can significantly impact quality of life. Uncertainty still exists about the pathophysiological mechanisms that underlie a range of clinical features of the disorder, linked to structural as well as functional brain changes. This thesis thus aimed to uncover neuroimaging biomarkers associated with clinical dysfunction in PD. A 'hubs-and-spokes' neural circuit-based approach can contribute to this aim, by analysing the component elements and also the interconnections of important brain networks. This thesis focusses on structures within basal ganglia-thalamocortical neuronal circuits that are linked to a range functions impacted in the disorder, and that are vulnerable to the consequences of PD pathology. This thesis investigated neuronal 'hubs' by studying the morphology of the caudate nucleus, putamen, thalamus and neocortex. The caudate nucleus, putamen and thalamus are all vital subcortical 'hubs' that play important roles in a number of functional domains that are compromised in PD. The neocortex, on the other hand, has a range of 'hubs' spread across it, regions of the brain that are crucial for neuronal signalling and communication. The interconnections, or 'spokes', between these hubs and other brain regions were investigated using seed-based resting-state functional connectivity analyses. Finally, a morphological analysis was used to investigate possible structural changes to the corpus callosum, the major inter-hemispheric white matter tract of the brain, crucial to effective higher-order brain processes. This thesis demonstrates that the caudate nucleus, putamen, thalamus, corpus callosum and neocortex are all atrophied in PD participants with dementia. PD participants also demonstrated a significant correlation between volumes of the caudate nuclei and general cognitive functioning and speed, while putamina volumes were correlated with general motor function. Cognitively unimpaired PD participants demonstrated minimal morphological alterations compared to control participants, however they demonstrated significant increases in functional connectivity of the caudate nucleus, putamen and thalamus with areas across the frontal lobe, and decreases in functional connectivity with parietal and cerebellar regions. PD participants with mild cognitive impairment and dementia show decreased functional connectivity of the thalamus with paracingulate and posterior cingulate cortices, respectively. This thesis contributes a deeper understanding of the relationship between structures of basal ganglia-thalamocortical neuronal circuits, corpus callosal and neocortical morphology, and the clinical dysfunction associated with PD. This thesis suggests that functional connectivity changes are more common in early stages of the disorder, while morphological alterations are more pronounced in advanced disease stages

Utilidade dos exames de ressonância magnética no diagnóstico da doença de Parkinson : revisão sistemática e meta análise

Tese de mestrado, Neurociências, Faculdade de Medicina, Universidade de Lisboa, 2014Com a atual tendência para o envelhecimento da população e sendo a doença de Parkinson (DP) uma patologia que atinge cerca de 2% da população acima dos 65 anos, podemos prever um aumento da sua prevalência. Por outro lado devido às questões éticas e à morbilidade que implicariam as biopsias cerebrais como método de diagnóstico definitivo, a necessidade de encontrar métodos de diagnóstico precoce e não invasivos são de extrema importância. Mesmo nos melhores centros de diagnóstico há uma percentagem importante de desacordo entre o diagnóstico efetuado em vida, de base clínica e o diagnóstico pós-morte, que é histopatológico. A Ressonância Magnética, nas suas diferentes modalidades, proporciona-nos um meio de investigar “in vivo” as regiões corticais e subcorticais que se sabem estarem afetadas na DP. Diversos estudos recentes procuram demonstrar a utilidade destes testes como bio marcadores de diagnóstico e progressão da doença de Parkinson. Procurei efetuar uma revisão sistemática e meta análise em relação aos exames de Imagens de Ressonância Magnética (IRM) de modo a verificar a sua utilidade no diagnóstico da doença de Parkinson e se poderão ter potencial para serem considerados bio marcadores de diagnóstico e seguimento dos doentes. Objetivo Revisão sistemática dos estudos que compararem, a precisão das diferentes modalidades de ressonância magnética no diagnóstico da doença de Parkinson, com diagnóstico clínico e controlos saudáveis, explorando suas potencialidades como bio marcadores. Material e métodos Procedeu-se a uma pesquisa na literatura publicada sobre a temática, recorrendo à base de dados PubMed/MEDLINE, Embase, B-on, Google Scholar e ainda na bibliografia dos estudos considerados relevantes. Foram utilizadas as palavras-chave "Parkinson", "Magnetic resonance imaging", "MRI", "DTI", "Diffusion tensor imaging", "Spectroscopy", "MRI of Iron", "fMRI", "bold", “Neuromelanin”, combinados com operadores booleanos apropriados para cada pesquisa. Foram selecionados estudos redigidos em Inglês, Francês, Espanhol e Português. Critérios de inclusão: Estudos neurorradiológicos, com mais de cinco pacientes, até a presente data, que envolvam Imagens de ressonância magnética (MRI) de diferentes modalidades tais como: Exames Estruturais (T1, T2, Neuromelanina, Ferro e outras técnicas); Diffusion Tensor Imaging (DTI); Espectroscopia em Ressonância Magnética (MRSI); Ressonância Magnética Funcional (fMRI) no diagnóstico da Doença de Parkinson e que comparem a precisão do teste com diagnóstico clínico e controlos saudáveis, explorando suas potencialidades como bio marcadores. Foram excluídos, estudos que não usaram critérios formais de diagnóstico clínico, estudos incluindo pacientes submetidos a estimulação cerebral profunda, parkinsonismo idiopático ou vascular, casos relatados, editoriais, comentários, cartas, estudos em animais, estudos de diagnóstico diferencial com outras síndromes parkinsonianos e demências da DP. Resultados Dos 834 estudos identificados e atendendo aos critérios de seleção foram separados 109 estudos que após a leitura dos “Abstracts” verificou-se que apenas 52 preenchiam os requisitos dos critérios de inclusão. Destes estudos, foram obtidas as versões integrais publicadas, que foram integralmente lidas e sempre que existentes registados por mim, os seguintes dados: a referência, o ano, o título, o número de pacientes e controlos, a idade média, o estádio Hoehn & Yahr, a medicação, a modalidade de IRM, a região estudada, a intensidade do campo magnético do sistema, as conclusões e ainda se possível, a especificidade, a sensibilidade, a área sob a curva ROC e valores-p (Sigma) do teste t-Student (t-test) da comparação entre os valores obtidos dos exames dos pacientes com DP e a dos controlos saudáveis. Os resultados obtidos foram divididos em quatro grupos, em função da modalidade de estudo de IRM (imagens de ressonância magnética), para avaliação: 1º exames estruturais utilizando os métodos clássicos e IRM do ferro e da Neuromelanina; 2º exames utilizando DTI (Diffusion Tensor Imaging); 3º exames de espectroscopia de RMN; 4º fMRI (ressonância magnética funcional) incluindo a de em estado de repouso (RS-fMRI). 1º Exames estruturais utilizando os métodos clássicos e IRM, do ferro e Neuromelanina. Neste grupo de estudos podemos verificar que, utilizando T1 imagens Inversão de recuperação (a área) 24; T2W (o volume) 33; T1p (sensível á perda neuronal) 46; MRI sensível á Neuromelanina (medição do volume) 23, encontramos uma diminuição significativa na SN (substância nigra) dos pacientes com DP, quando comparados com controlos saudáveis pareados por idade, e um aumento significativo dos valores do R2 * (= 1/T2 *) e T2p, (sensível à deposição de ferro) em pacientes com DP 41, 27, quando comparados com controlos saudáveis. É de salientar que estas alterações se mantem ainda que tenhamos valores de sistemas com diferentes intensidades dos campos magnéticos 3T; 4T; 7T. 2º Exames utilizando DTI (Diffusion Tensor Imaging). Com este tipo de exames podemos detetar em pacientes com DP, alterações na AF (anisotropia fracionada) e DM (difusibilidade média) em todo o cérebro 74, mas que são mais pronunciadas na substância branca frontal e parietal refletindo deste modo um dano microestrutural generalizado. Estas alterações ocorrem nos estádios iniciais da PD75, em fibras de projeção do tálamo 11. Os valores da MK (mean kurtosis) e da AF foram significativamente menores no cíngulo anterior 22, na área motora, na pré-motora e motora suplementar do córtex 64,nas áreas de substância branca próximas das áreas motoras suplementares, cápsulas externa e interna, tálamo direito, putamen esquerdo 65 e como se demonstra na meta-análise há uma redução significativa da AF na SN. 3º Exames de espectroscopia de RMN Na espectroscopia dos metabolitos Substância Nigra na doença de Parkinson foram observadas diferenças significativas entre doentes PD e controlos saudáveis nas razões, NAA / Cr, NAA / Cho, NAA / (Co + Cr) 66, 76. Com estes exames podemos obter um in perfil neuro-químico “in vivo”, incluindo neurotransmissores (Glu e GABA) e os níveis de antioxidantes (GSH), que estão em excelente concordância com a literatura neuro química 70. Na pré-SMA, a razão NAA / Cr diminuiu seletivamente, em paralelo com disfunção neuronal nos DP (P = 0,045) 73. No putamen e mesencéfalo foi encontrada uma redução bilateral de fosfatos de alta energia, como adenosina trifosfato e fosfocreatina como recetores finais da energia da fosforilação oxidativa mitocondrial 71. 4º Exames de fMRI ressonância magnética funcional incluindo os de em estado de repouso (RS-fMRI). Usando diferentes paradigmas e comparando pacientes com DP, com controlos saudáveis, encontramos nos diferentes estudos uma redução da percentagem de mudança de sinal em todos os núcleos dos gânglios da base contra lateral e ipsilateral, tálamo lateral e medial, M1 (córtex motor primário) e área motora suplementar. Foram detetadas correlações negativas significativas entre a UPDRS e a ativação BOLD bilateralmente nos núcleos, caudado e putamen, segmento externo contra lateral do globo pálido, bilateralmente nos núcleos sub-talâmicos, substantia nigra e tálamo contra lateral. A bradicinesia é o sintoma que mais consistentemente previu a ativação BOLD nos gânglios da base e tálamo. Além disso, a ativação BOLD no globo pálido interno contra lateral, estava relacionada com tremor. A atividade cortical reduzida no córtex motor primário e na área motora suplementar nos pacientes com DP recém-diagnosticada, não se relacionam com sintomas motores 58. Durante a execução de movimentos automáticos, os pacientes com doença de Parkinson em comparação com os controlos saudáveis, necessitam de mais atividade cerebral no cerebelo, na área pré-motora, no córtex parietal, no precuneus e córtex pré-frontal para compensar a disfunção dos gânglios basais 51. Usando RS-fMRI para estudar a conectividade funcional (CF), verificou-se que os pacientes PD apresentam uma disrupção da rede motora. O aumento CF em estado de repouso entre os núcleos sub-talâmicos (NST) e áreas motoras corticais e os sintomas de rigidez e tremor na PD podem estar relacionados a um acoplamento anormal dessas áreas. Com estudos selecionados foram efetuadas meta análises ponderando o efeito de tamanho da amostra nos 1º e 2º grupo, tendo-se verificado que neles há diferenças significativas (em t-test utilizando p-value) no que respeita á redução de volume e da anisotropia fracionada (AF) da Substância Nigra (SN) entre os doentes de Parkinson e os controlos saudáveis. Foi detetada uma redução média de volume da SN, estimada pela tamanho do efeito das IRM Estruturais de (-0,877, 95% intervalo de confiança de -1,049 a -0.705, p <0.0001) apresentando os estudos um baixo nível de heterogeneidade (Q [12] =14,598 p =0,264 I2 =17,795). Na AF da SN em DTI a redução média dos valores da AF estimada atendendo ao efeito tamanho dos estudos foi de (-0,811, 95% intervalo de confiança de -1,036 a -0,586, p <0,0001) com um baixo nível de heterogeneidade entre os estudos (Q [6] =7,327, p =0,396 I2 = 4,465). Conclusões Estes resultados são encorajadores pois pode-se concluir que os exames de imagem de ressonância magnética possuem uma boa capacidade discriminativa dos doentes de Parkinson em relação aos controlos saudáveis e poderão desempenhar um papel importante na deteção, na monitorização da progressão e no impacto terapêutico na DP. Entretanto, serão necessários estudos longitudinais e prospetivos com um número mais elevado de doentes utilizando as várias modalidades, isoladamente ou em associação, para melhorar a acuidade diagnóstica e confirmar a sua utilização como bio marcadores.Objectives: We performed a systematic review of the studies comparing the accuracy of the different modalities of magnetic resonance imaging in the diagnosis of Parkinson's disease with clinical diagnosis and healthy controls, exploring its potentials as biomarkers. Methods: We searched for studies and research reviews in, the MEDLINE, EMBASE, B-on (the online knowledge Library) databases, and in bibliography cited in relevant studies, comparing the MRI differences between Parkinson’s disease patients and healthy controls to access the accuracy of the different methods, the results were extracted and estimates were pooled by random-effects meta-analysis. Results: 834 studies were identified using MRI in PD but only 48 studies were eligible for inclusion, with a total of 1362 Parkinson’s disease patients and 1023 healthy controls, whose results were divided into four groups: 1st- Structural, Iron and Neuromelanin MRI; 2nd- DTI (diffusion tensor imaging) with FA and MD; 3rd- Spectroscopy (MRS); 4th- fMRI that includes RS-fMRI (resting state fMRI). It was found changes in basal ganglia, thalamus, white and gray matter in the different MRI modalities. In the 1st and 2nd group we performed a meta-analysis for the Volume and Fractional Anisotropy (FA) of the Substantia Nigra (SN) respectively. A good effect size of the reduction was found for both in the PD patients versus controls in structural MRI (-0,877, 95% confidence interval -1,049 to -0.705, p < 0.0001) and in DTI (-0,811, 95% confidence interval -1,036 to -0,586, p < 0,0001). With a low level of heterogeneity. Conclusions: Magnetic Resonance Imaging has a good accuracy in separate PD patients from Healthy Controls, and could have a role in detecting pre manifest disease, monitoring progression and drug therapeutic impact. Larger prospective and longitudinal studies using DTI, Spectroscopy, fMRI, RS-fMRI and other modalities of MRI on larger cohorts of patients with Parkinson´s disease are needed to investigate some of the actual encouraging preliminary findings. Standardization of protocols is a need and will be a reality in the future and that will help us to get better and comparable results. Combination of modalities could improve the diagnostic accuracy

The impact of volume of tissue activation on cortical-striatal networks and verbal fluency declines in post-deep brain stimulation Parkinson\u27s disease patients.

This study investigated the cortical-striatal networks of verbal fluency declines in 6-month, post-operative, deep brain stimulation Parkinson’s Disease patients. Nine Parkinson’s disease participants with implanted STN or GPi DBS systems were recruited for this study. Verbal fluency data was obtained from each patient preoperatively and 6- months post implantation. The stimulation-based volume of tissue activated area (VTA) of each target site (STN or GPi) was analyzed using Lead-DBS and Lead-Group. The white matter tracks intersecting each patient’s VTA, terminating in the pre-SMA, SMA, caudate nucleus, and anterior cingulate were investigated and correlated with verbal fluency declines. We found statistically significant effects of DBS on verbal fluency, with a trendtowards greater declines in the STN compared to the GPi. Verbal fluency declines were found to be the greatest in patients with more white matter tracts leading from the left hemisphere to the left caudate and bilaterally to the pre-SMA and SMA, and there were no correlations found between VF and the anterior cingulate

Alzheimer’s And Parkinson’s Disease Classification Using Deep Learning Based On MRI: A Review

Neurodegenerative disorders present a current challenge for accurate diagnosis and for providing precise prognostic information. Alzheimer’s disease (AD) and Parkinson's disease (PD), may take several years to obtain a definitive diagnosis. Due to the increased aging population in developed countries, neurodegenerative diseases such as AD and PD have become more prevalent and thus new technologies and more accurate tests are needed to improve and accelerate the diagnostic procedure in the early stages of these diseases. Deep learning has shown significant promise in computer-assisted AD and PD diagnosis based on MRI with the widespread use of artificial intelligence in the medical domain. This article analyses and evaluates the effectiveness of existing Deep learning (DL)-based approaches to identify neurological illnesses using MRI data obtained using various modalities, including functional and structural MRI. Several current research issues are identified toward the conclusion, along with several potential future study directions

Neuroimaging at 7 Tesla: a pictorial narrative review

Neuroimaging using the 7-Tesla (7T) human magnetic resonance (MR) system is rapidly gaining popularity after being approved for clinical use in the European Union and the USA. This trend is the same for functional MR imaging (MRI). The primary advantages of 7T over lower magnetic fields are its higher signal-to-noise and contrast-to-noise ratios, which provide high-resolution acquisitions and better contrast, making it easier to detect lesions and structural changes in brain disorders. Another advantage is the capability to measure a greater number of neurochemicals by virtue of the increased spectral resolution. Many structural and functional studies using 7T have been conducted to visualize details in the white matter and layers of the cortex and hippocampus, the subnucleus or regions of the putamen, the globus pallidus, thalamus and substantia nigra, and in small structures, such as the subthalamic nucleus, habenula, perforating arteries, and the perivascular space, that are difficult to observe at lower magnetic field strengths. The target disorders for 7T neuroimaging range from tumoral diseases to vascular, neurodegenerative, and psychiatric disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, epilepsy, major depressive disorder, and schizophrenia. MR spectroscopy has also been used for research because of its increased chemical shift that separates overlapping peaks and resolves neurochemicals more effectively at 7T than a lower magnetic field. This paper presents a narrative review of these topics and an illustrative presentation of images obtained at 7T. We expect 7T neuroimaging to provide a new imaging biomarker of various brain disorders

Cerebellar atrophy in Parkinson's disease and its implication for network connectivity.

Pathophysiological and atrophic changes in the cerebellum are documented in Parkinson's disease. Without compensatory activity, such abnormalities could potentially have more widespread effects on both motor and non-motor symptoms. We examined how atrophic change in the cerebellum impacts functional connectivity patterns within the cerebellum and between cerebellar-cortical networks in 42 patients with Parkinson's disease and 29 control subjects. Voxel-based morphometry confirmed grey matter loss across the motor and cognitive cerebellar territories in the patient cohort. The extent of cerebellar atrophy correlated with decreased resting-state connectivity between the cerebellum and large-scale cortical networks, including the sensorimotor, dorsal attention and default networks, but with increased connectivity between the cerebellum and frontoparietal networks. The severity of patients' motor impairment was predicted by a combination of cerebellar atrophy and decreased cerebellar-sensorimotor connectivity. These findings demonstrate that cerebellar atrophy is related to both increases and decreases in cerebellar-cortical connectivity in Parkinson's disease, identifying potential cerebellar driven functional changes associated with sensorimotor deficits. A post hoc analysis exploring the effect of atrophy in the subthalamic nucleus, a cerebellar input source, confirmed that a significant negative relationship between grey matter volume and intrinsic cerebellar connectivity seen in controls was absent in the patients. This suggests that the modulatory relationship of the subthalamic nucleus on intracerebellar connectivity is lost in Parkinson's disease, which may contribute to pathological activation within the cerebellum. The results confirm significant changes in cerebellar network activity in Parkinson's disease and reveal that such changes occur in association with atrophy of the cerebellum