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Journal articles on the topic 'Dementia, metabolic imaging, neuropsychology'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Pihlajamäki, Maija, and Reisa A. Sperling. "Functional MRI Assessment of Task-Induced Deactivation of the Default Mode Network in Alzheimer’s Disease and At-Risk Older Individuals." Behavioural Neurology 21, no. 1-2 (2009): 77–91. http://dx.doi.org/10.1155/2009/276384.

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Alzheimer’s disease (AD) is the most common form of dementia in old age, and is characterized by prominent impairment of episodic memory. Recent functional imaging studies in AD have demonstrated alterations in a distributed network of brain regions supporting memory function, including regions of the default mode network. Previous positron emission tomography studies of older individuals at risk for AD have revealed hypometabolism of association cortical regions similar to the metabolic abnormalities seen in AD patients. In recent functional magnetic resonance imaging (fMRI) studies of AD, co

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Kessels, Roy P. C., Stefano Cappa, Cristina Festari, et al. "64 The Biomarker-Based Etiological Diagnosis of Neurocognitive Disorders: the European Inter-Societal Delphi Consensus." Journal of the International Neuropsychological Society 29, s1 (2023): 268–69. http://dx.doi.org/10.1017/s135561772300382x.

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Objective:In the field of neurocognitive disorders, the perspective offered by new disease-modifying therapy increases the importance of etiological diagnosis. The prescription of cerebrospinal fluid analysis (CSF) and imaging biomarkers is a common practice in the clinic but is often driven more by personal expertise and local availability of diagnostic tools than by evidence of efficacy and cost-effectiveness analysis. This leads to a widely heterogeneous dementia care across Europe. Therefore, a European initiative is currently being conducted to establish a consensus for biomarker-based di

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Cummings, J. L. "Subcortical Dementia Neuropsychology, Neuropsychiatry, and Pathophysiology." British Journal of Psychiatry 149, no. 6 (1986): 682–97. http://dx.doi.org/10.1192/bjp.149.6.682.

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Subcortical dementia refers to a clinical syndrome characterised by slowing of cognition, memory disturbances, difficulty with complex intellectual tasks such as strategy generation and problem solving, visuospatial abnormalities, and disturbances of mood and affect. The syndrome was first described by Kinnier Wilson, but further progress in development of the concept has occurred only within the past ten years. Subcortical dementia occurs in degenerative extrapyramidal disorders and has also been identified in inflammatory, infectious, and vascular conditions. Histologic, metabolic, and neuro

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M�ller, Harald E., Peter Vermathen, Markus G. Lentschig, et al. "Metabolic characterization of AIDS dementia complex by spectroscopic imaging." Journal of Magnetic Resonance Imaging 9, no. 1 (1999): 10–18. http://dx.doi.org/10.1002/(sici)1522-2586(199901)9:1<10::aid-jmri2>3.0.co;2-w.

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Camicioli, Richard, and Nancy Fisher. "Progress in Clinical Neurosciences: Parkinson's Disease with Dementia and Dementia with Lewy Bodies." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 31, no. 1 (2004): 7–21. http://dx.doi.org/10.1017/s0317167100002791.

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Dementia occurs in up to 30% of people with Parkinson's disease and is a major cause of disability. Pathologically, Parkinson's dementia, where dementia follows the onset of parkinsonism by at least one year, overlaps with dementia with Lewy bodies. We review the functional impact, definitions, neuropsychology, epidemiology and pathophysiology of Parkinson's dementia, dementia with Lewy bodies and their overlap. Associated psychiatric and imaging findings are also considered. Lastly, current and emerging approaches to assessment and treatment in patients with these Lewy body associated dementi

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Powell, Artiss L., and D. Frank Benson. "Brain imaging techniques in the diagnosis of dementia." Neuropsychology Review 1, no. 1 (1990): 3–19. http://dx.doi.org/10.1007/bf01108856.

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7

Nazem, Amir, Chris C. Tang, Phoebe Spetsieris, et al. "A multivariate metabolic imaging marker for behavioral variant frontotemporal dementia." Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 10, no. 1 (2018): 583–94. http://dx.doi.org/10.1016/j.dadm.2018.07.009.

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Gupta, Vanshika, Ritu Verma, Rajeev Ranjan, et al. "Metabolic imaging patterns in posterior cortical atrophy and Lewy body dementia." Nuclear Medicine Communications 40, no. 12 (2019): 1275–82. http://dx.doi.org/10.1097/mnm.0000000000001102.

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Rapoport, Stanley I. "Discriminant Analysis of Brain Imaging Data Identifies Subjects With Early Alzheimer's Disease." International Psychogeriatrics 9, S1 (1997): 229–35. http://dx.doi.org/10.1017/s1041610297004936.

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In vivo functional brain imaging provides an opportunity to quantify and localize functional deficits associated with Alzheimer's disease (AD), in relation to dementia severity and heterogeneous cognitive profiles. Such imaging also provides a basis for distinguishing AD from other causes of dementia and for making an early diagnosis of disease. One imaging modality that can elucidate AD is positron emission tomography (PET), which is used to measure regional cerebral metabolic rates for glucose (rCMRglc) and regional cerebral blood flow (rCBF). Resting-state measurements with PET, when relate

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Standley, Katherine, Charles Brock, and Michael Hoffmann. "Advances in functional neuroimaging in dementias and potential pitfalls." Neurology International 4, no. 1 (2012): 7. http://dx.doi.org/10.4081/ni.2012.e7.

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Neuroimaging is continuously advancing at a rapid rate and has progressed from excluding relatively uncommon secondary causes (stroke, tumor) to assisting with early diagnosis and subtype of dementia. Structural imaging has given way to functional, metabolic and receptor imaging.

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Xia, Yong, Shen Lu, Lingfeng Wen, Stefan Eberl, Michael Fulham, and David Dagan Feng. "Automated Identification of Dementia Using FDG-PET Imaging." BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/421743.

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Parametric FDG-PET images offer the potential for automated identification of the different dementia syndromes. However, various existing image features and classifiers have their limitations in characterizing and differentiating the patterns of this disease. We reported a hybrid feature extraction, selection, and classification approach, namely, the GA-MKL algorithm, for separating patients with suspected Alzheimer’s disease and frontotemporal dementia from normal controls. In this approach, we extracted three groups of features to describe the average level, spatial variation, and asymmetry

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BONDI, MARK W. "Genetic and brain imaging contributions to neuropsychological functioning in preclinical dementia." Journal of the International Neuropsychological Society 8, no. 7 (2002): 915–17. http://dx.doi.org/10.1017/s1355617702870059.

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A veritable explosion of research in neuropsychology has occurred over the past decade in the search for cognitive and brain changes during a so-called “preclinical” phase of dementia that precedes its overt clinical manifestations. Fueling this explosion, in part, has been the revolution in the genetic bases of disease formulated from the international work of decoding the human genome (International Human Genome Sequencing Consortium, 2001; see also Patenaude et al., 2002, for discussion). The discovery of preclinical cognitive, brain, and genetic markers of dementia is helping to push back

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Saint-Cyr, Jean A. "Neuropsychology for Movement Disorders Neurosurgery." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 30, S1 (2003): S83—S93. http://dx.doi.org/10.1017/s0317167100003280.

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The neuropsychologist plays a crucial role in three phases of the neurosurgical treatment of movement disorder patients, namely screening, outcome evaluation and research. In screening patients, the differential diagnosis of dementia, impact of depression or other psychiatric conditions, and the influence of disease and medication-induced symptoms on cognitive performance must be determined. Postoperatively, systematic evaluations elucidate the cognitive costs or benefits of the procedure. The neuropsychologist is then able to provide feedback and counselling to the professional staff, patient

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Weih, Markus, Ümüt Degirmenci, Sebastian Kreil, et al. "Perfusion Imaging with SPECT in the Era of Pathophysiology-Based Biomarkers for Alzheimer's Disease." International Journal of Alzheimer's Disease 2010 (2010): 1–5. http://dx.doi.org/10.4061/2010/109618.

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SPECT allows registration of regional cerebral blood flow (rCBF) which is altered in a characteristic temporoparietal pattern in Alzheimer's Dementia. Numerous studies have shown the diagnostic value of reduced cerebral blood flow and metabolic changes using perfusion SPECT and FDG-PEPT in AD diagnosis as well as in differential diagnosis against frontotemporal dementia, dementia with Lewy bodies and vascular disease. Recently more pathophysiology-based biomarkers in CSF and Amyloid-PET tracers have been developed that probably have a higher diagnostic accuracy than the more indirect rCBF chan

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Jiang, B., G. Yao, C. Yao, Yu Zhang, J. Ge, and E. Qiu. "Vascular Cognitive Impairment with No Dementia: Neuropsychology, Brain Imaging, and Event-Related Potentials." Neurophysiology 45, no. 4 (2013): 323–28. http://dx.doi.org/10.1007/s11062-013-9376-3.

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Bertrand, Anne, Sebastian Stroër, Isabelle Le Ber, Marc Teichmann, and Didier Dormont. "Structural magnetic resonance imaging in frontotemporal lobar dementia." Gériatrie et Psychologie Neuropsychiatrie du Viellissement 15, no. 3 (2017): 285–94. http://dx.doi.org/10.1684/pnv.2017.0686.

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Jo, Minjeong, Sunwoo Jung, and Jinhyun Ahn. "Predicting Dementia Using Ensemble Machine Learning Models: Focusing on Exercise and Sleep Information." Jeju National University Tourism, Business, and Economic Research Institute 43, no. 2 (2023): 91–109. http://dx.doi.org/10.24907/jtir.2023.43.2.91.

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As we become an aging society, there is a growing concern about geriatric diseases. Among them, senile dementia, which disrupts daily life, is best detected at an early stage because there is no cure, even with technological advances. However, many preliminary studies to predict dementia require continuous imaging data, such as MRI and retinal imaging data, and are expensive. These methods have the disadvantage that they cannot be applied to all people, so this study aims to develop low-cost predictive dementia detection. Therefore, the purpose of this study is to identify the main variables t

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Cheng, Chih-Kuang, Yu-Chien Tsao, Yuan-Chih Su, Fung-Chang Sung, Hsu-Chih Tai, and Woon-Man Kung. "Metabolic Risk Factors of Alzheimer’s Disease, Dementia with Lewy Bodies, and Normal Elderly: A Population-Based Study." Behavioural Neurology 2018 (June 3, 2018): 1–8. http://dx.doi.org/10.1155/2018/8312346.

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Background. Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB) share many risk factors. Evidence suggests that metabolic risk factors are important to AD; however, their association with DLB is unclear. The risk of cardiovascular diseases (CVD) associated with AD and DLB is also uncertain. Thus, this nationwide, population-based study was designed to evaluate the metabolic and CVD risks in AD and DLB. Materials and Methods. Data were obtained from the Taiwan National Health Insurance Research Database. AD patients, DLB patients, and normal control (NC) individuals from 1996 to 2013 w

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Apostolova, Ivayla, Catharina Lange, Lothar Spies, et al. "Preserved brain metabolic activity at the age of 96 years." International Psychogeriatrics 28, no. 9 (2016): 1575–77. http://dx.doi.org/10.1017/s1041610216000673.

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Loss of brain tissue becomes notable to cerebral magnetic resonance imaging (MRI) at age 30 years, and progresses more rapidly from mid 60s. The incidence of dementia increases exponentially with age, and is all too frequent in the oldest old (≥ 90 years of age), the fastest growing age group in many countries. However, brain pathology and cognitive decline are not inevitable, even at extremely old age (den Dunnen et al., 2008).

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Esawy, Abeer Salah Abd El Razek El, Rasha Lottfy Younis, ELSayed Aly Mohamed Tag EL Din, and Mahmoud Abd El Aziz Dawoud. "Role of Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy in Evaluation of Different Types of Dementia." Journal of Advances in Medicine and Medical Research 35, no. 6 (2023): 9–16. http://dx.doi.org/10.9734/jammr/2023/v35i64975.

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Aims: The aim of this work is to study the role of magnetic resonance imaging and magnetic resonance spectroscopy in evaluation of dementia patients. Patients and Methods: This study conducted on fifty patients referred to radio diagnosis and medical imaging department from Neuropsychiatry department at Tanta University Hospital with clinical diagnosis of different types of dementia.  Results: The grade of medial temporal lobe atrophy was higher in AD than in the other two types of dementia. Vascular lesions that fulfill these criteria were present in all patients diagnosed as VaD

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Mauri, Marco, Clara Gobbo, Lucia Princiotta Cariddi, Ilaria Schiorlin, and Maurizio Versino. "Depressive symptoms in amnesic mild cognitive impairment: an FDG-PET/CT study." Archives of Medical Science 18, no. 4 (2022): 1108–11. http://dx.doi.org/10.5114/aoms/149717.

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IntroductionThe detection in mild cognitive impairment (MCI) of metabolic alterations suggestive of depression and/or of evolution to dementia.Material and methodsSixty-nine MCI patients underwent clinical and imaging evaluation including position emission tomography/computed tomography with fluorodeoxy-glucose (FDG-PET/CT).ResultsThe metabolism mean values in parietal, temporal and pre-cuneus areas were lower in subjects who evolved to dementia, and in frontal and in anterior cingulate areas in depressed subjects. Abnormal metabolism values were higher in the frontal and parietal lobes, and i

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Iaccarino, Leonardo, Arianna Sala, Silvia Paola Caminiti, et al. "The brain metabolic signature of visual hallucinations in dementia with Lewy bodies." Cortex 108 (November 2018): 13–24. http://dx.doi.org/10.1016/j.cortex.2018.06.014.

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23

Rhee, John Y., and Luis Nicolas Gonzalez Castro. "Glioblastoma with Gliomatosis Cerebri Growth Pattern Presenting as Rapidly Progressive Dementia." Neurohospitalist 12, no. 2 (2022): 395–99. http://dx.doi.org/10.1177/19418744211069769.

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The differential diagnosis of rapidly progressive dementia includes neurodegenerative, toxic/metabolic, infectious, inflammatory, vascular, and malignant etiologies. This case highlights a patient with rapidly progressive cognitive decline that remained a diagnostic dilemma due to nonspecific symptoms of disorientation that progressed to persistent alteration in mental status over the span of three months. Routine laboratory testing did not help clarify the diagnosis and initial brain imaging showed only subtle abnormalities that were not commensurate with the patient’s neurologic examination.

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Sultzer, David L. "Neuroimaging and the Origin of Psychiatric Symptoms in Dementia." International Psychogeriatrics 8, S3 (1997): 239–43. http://dx.doi.org/10.1017/s1041610297003414.

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Neuroimaging studies have contributed greatly to our understanding of Alzheimer's disease and other dementias. Computed tomography and magnetic resonance imaging reveal brain structure and aid in the diagnostic evaluation of patients with cognitive impairment. Functional neuroimaging studies use positron emission tomography, single-photon emission computed tomography, and other methods to measure regional cerebral activity, including metabolic rate, blood flow, and neuroreceptor density. Functional neuroimaging results can be useful clinically and have also been used in a variety of research a

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Cerami, Chiara, Alessandra Dodich, Lucia Greco, et al. "The Role of Single-Subject Brain Metabolic Patterns in the Early Differential Diagnosis of Primary Progressive Aphasias and in Prediction of Progression to Dementia." Journal of Alzheimer's Disease 55, no. 1 (2016): 183–97. https://doi.org/10.3233/JAD-160682.

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<strong>Background and Objective:</strong> Primary progressive aphasia (PPA) is a clinical syndrome due to different neurodegenerative conditions in which an accurate early diagnosis needs to be supported by a reliable diagnostic tool at the individual level. In this study, we investigated in PPA the FDG-PET brain metabolic patterns at the single-subject level, in order to assess the case-to-case variability and its relationship with clinical-neuropsychological findings. <strong>Material and Methods:</strong> 55 patients (i.e., 11 semantic variant/sv-PPA, 19 non fluent variant/nfv-PPA, 17 logo

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Swan, Amanda, Briony Waddell, Guy Holloway, et al. "The Diagnostic Utility of 99mTc-HMPAO SPECT Imaging: A Retrospective Case Series from a Tertiary Referral Early-Onset Cognitive Disorders Clinic." Dementia and Geriatric Cognitive Disorders 39, no. 3-4 (2015): 186–93. http://dx.doi.org/10.1159/000369551.

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Background/Aims: Patients with early-onset dementia (EOD) often present atypically, making an accurate diagnosis difficult. Single-photon emission-computed tomography (SPECT) provides an indirect measure of cerebral metabolic activity and can help to differentiate between dementia subtypes. This study aims to investigate the clinical utility of SPECT imaging in the diagnosis of early-onset Alzheimer's disease. Methods: All patients attending a tertiary referral clinic specialising in EOD between April 2012 and October 2013 were included in the study. Statistical analysis of SPECT patterns with

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Small, Gary W., Linda D. Nelson, Prabha Siddarth, et al. "P1-292: Glucose metabolic, amyloid, and tau brain imaging in down syndrome and dementia." Alzheimer's & Dementia 4 (July 2008): T304. http://dx.doi.org/10.1016/j.jalz.2008.05.882.

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Soni, Neetu, Manish Ora, Girish Bathla, et al. "Multiparametric magnetic resonance imaging and positron emission tomography findings in neurodegenerative diseases: Current status and future directions." Neuroradiology Journal 34, no. 4 (2021): 263–88. http://dx.doi.org/10.1177/1971400921998968.

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Neurodegenerative diseases (NDDs) are characterized by progressive neuronal loss, leading to dementia and movement disorders. NDDs broadly include Alzheimer’s disease, frontotemporal lobar degeneration, parkinsonian syndromes, and prion diseases. There is an ever-increasing prevalence of mild cognitive impairment and dementia, with an accompanying immense economic impact, prompting efforts aimed at early identification and effective interventions. Neuroimaging is an essential tool for the early diagnosis of NDDs in both clinical and research settings. Structural, functional, and metabolic imag

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Jeong, Y., Y. M. Song, P. W. Chung, et al. "Correlation of ventricular asymmetry with metabolic asymmetry in frontotemporal dementia." Journal of Neuroradiology 32, no. 4 (2005): 247–54. http://dx.doi.org/10.1016/s0150-9861(05)83145-1.

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Li, Yao-Shuang, Yu-Ge Xia, Yan-Lan Liu, et al. "Metabolic-dysfunction associated steatotic liver disease-related diseases, cognition and dementia: A two-sample mendelian randomization study." PLOS ONE 19, no. 2 (2024): e0297883. http://dx.doi.org/10.1371/journal.pone.0297883.

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Background The results of current studies on metabolic-dysfunction associated steatotic liver disease (MASLD)-related diseases, cognition and dementia are inconsistent. This study aimed to elucidate the effects of MASLD-related diseases on cognition and dementia. Methods By using single-nucleotide polymorphisms (SNPs) associated with different traits of NAFLD (chronically elevated serum alanine aminotransferase levels [cALT], imaging-accessed and biopsy-proven NAFLD), metabolic dysfunction-associated steatohepatitis, and liver fibrosis and cirrhosis, we employed three methods of mendelian rand

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Pabla, Harleen Singh, Gokulakrishnan P.R., Arunan Murali, and Venkata Sai P.M. "Role of PET-CT in Aiding Diagnosis of Various Neurological Conditions – A Case Series." Journal of Evolution of Medical and Dental Sciences 10, no. 7 (2021): 440–46. http://dx.doi.org/10.14260/jemds/2021/97.

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BACKGROUND PET-CT is an imaging modality which electronically detects positron-emitting radiopharmaceuticals in the human body and reveals its exact anatomical location.1 PET CT measures the metabolic and functional activity of living tissue noninvasively.1 This technology is utilized in diagnosis, planning treatment and predicting outcomes in various neurological conditions.1 Depending upon various patterns of FDG uptake in different parts of brain, 18FDG PET-CT allows us to differentiate between various types of dementia.2 PET CT allows tracking the course of disease and revealing the severi

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Suri, M. Fareed K., Jincheng Zhou, Ye Qiao, et al. "Cognitive impairment and intracranial atherosclerotic stenosis in general population." Neurology 90, no. 14 (2018): e1240-e1247. http://dx.doi.org/10.1212/wnl.0000000000005250.

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ObjectiveTo investigate the association between asymptomatic intracranial atherosclerosis and cognitive impairment in the Atherosclerosis Risk in Communities (ARIC) cohort.MethodsARIC participants underwent high-resolution 3T magnetic resonance angiography and a neuropsychology battery and neurologic examination adjudicated by an expert panel to detect mild cognitive impairment (MCI) and dementia. We adjusted for demographic and vascular risk factors in weighted logistic regression analysis, accounting for stratified sampling design and attrition, to determine the association of intracranial a

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Risacher, Shannon L. "Neuroimaging in Dementia." CONTINUUM: Lifelong Learning in Neurology 30, no. 6 (2024): 1761–89. https://doi.org/10.1212/con.0000000000001509.

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ABSTRACT OBJECTIVE This article captures the current literature regarding the use of neuroimaging measures to study neurodegenerative diseases, including early- and late-onset Alzheimer disease, vascular cognitive impairment, frontotemporal lobar degeneration disorders, dementia with Lewy bodies, and Parkinson disease dementia. In particular, the article highlights significant recent changes in novel therapeutics now available for the treatment of Alzheimer disease and in defining neurodegenerative disease using biological frameworks. Studies summarized include those using structural and funct

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Small, Gary W., Linda D. Nelson, Prabha Siddarth, et al. "IC-P1-057: Glucose metabolic, amyloid, and tau brain imaging in down syndrome and dementia." Alzheimer's & Dementia 4 (July 2008): T31. http://dx.doi.org/10.1016/j.jalz.2008.05.2500.

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Pilotto, Andrea, Enrico Premi, Silvia Paola Caminiti, et al. "Single-subject SPM FDG-PET patterns predict risk of dementia progression in Parkinson disease." Neurology 90, no. 12 (2018): e1029-e1037. http://dx.doi.org/10.1212/wnl.0000000000005161.

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ObjectiveTo evaluate the statistical parametric mapping (SPM) procedure for fluorodeoxyglucose (FDG)-PET imaging as a possible single-subject marker of progression to dementia in Parkinson disease (PD).MethodsFifty-four consecutive patients with PD without dementia (age at onset of 59.9 ± 10.1 years, disease duration of 5.3 ± 3.4 years) entered the study. The patients underwent an extensive motor and cognitive assessment and a single-subject FDG-PET SPM evaluation at baseline. A 4-year follow-up provided disease progression and dementia diagnosis.ResultsThe FDG-PET SPM was evaluated by 2 exper

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Eide, Per K., and Geir Ringstad. "In Vivo Imaging of Molecular Clearance From Human Entorhinal Cortex: A Possible Method for Preclinical Testing of Dementia." Gerontology and Geriatric Medicine 5 (January 2019): 233372141988973. http://dx.doi.org/10.1177/2333721419889739.

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Accumulation in the brain of metabolic waste products such as amyloid-β and hyperphosporylated tau (tau) is a hallmark of dementia (e.g., Alzheimer’s disease). One possible underlying mechanism is impaired cerebral paravascular (glymphatic) clearance of toxic solutes. Recently, we have provided evidence of glymphatic circulation being present in the human brain, utilizing repeated magnetic resonance imaging (MRI) acquisitions before/after intrathecal injection of an MRI contrast agent, serving as a cerebrospinal fluid (CSF) tracer (glymphatic MRI [gMRI]). In a recent study, we utilized the sam

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Perneczky, Robert, Alexander Drzezga, Henning Boecker, et al. "Metabolic alterations associated with impaired clock drawing in Lewy body dementia." Psychiatry Research: Neuroimaging 181, no. 2 (2010): 85–89. http://dx.doi.org/10.1016/j.pscychresns.2009.08.001.

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Wesley, Sarah, and Damien Ferguson. "Autoimmune Encephalitides and Rapidly Progressive Dementias." Seminars in Neurology 39, no. 02 (2019): 283–92. http://dx.doi.org/10.1055/s-0039-1678583.

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AbstractRapidly progressive dementia (RPD) or cognitive decline is a common presenting complaint in neurology. While primary dementia is often a concern, other forms of reversible dementia must be thoroughly considered. This article focuses on the growing field of autoimmune encephalitis (AE) as it pertains to the differential diagnostic considerations in a work-up for RPD. Understanding clues in the history and examination is the first step in identifying patients with a potential autoimmune cause for RPD. While testing for infectious and toxic-metabolic etiologies is commonly preformed, it i

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Chen, Danyan, Jiaying Lu, Hucheng Zhou, et al. "Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control." Behavioural Neurology 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/8420658.

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Dementia with Lewy bodies (DLB) is the second most common degenerative dementia of the central nervous system. The technique 18F-fluorodeoxyglucose positron emission tomography (18F FDG PET) was used to investigate brain metabolism patterns in DLB patients. Conventional statistical methods did not consider intern metabolism transforming connections between various brain regions; therefore, most physicians do not understand the underlying neuropathology of DLB patients. In this study, 18F FDG-PET images and graph-theoretical methods were used to investigate alterations in whole-brain intrinsic

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Cerami, Chiara, Rosa Pasquale Anthony Della, Giuseppe Magnani, et al. "Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia." Neuroimage Clinical 7 (December 5, 2014): 187–94. https://doi.org/10.1016/j.nicl.2014.12.004.

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[(18)F]FDG-PET imaging has been recognized as a crucial diagnostic marker in Mild Cognitive Impairment (MCI), supporting the presence or the exclusion of Alzheimer's Disease (AD) pathology. A clinical heterogeneity, however, underlies MCI definition. In this study, we aimed to evaluate the predictive role of single-subject voxel-based maps of [(18)F]FDG distribution generated through statistical parametric mapping (SPM) in the progression to different dementia subtypes in a sample of 45 MCI. Their scans were compared to a large normal reference dataset developed and validated for compariso

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Zamrini, Edward, Fernando Maestu, Eero Pekkonen, et al. "Magnetoencephalography as a Putative Biomarker for Alzheimer's Disease." International Journal of Alzheimer's Disease 2011 (2011): 1–10. http://dx.doi.org/10.4061/2011/280289.

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Alzheimer's Disease (AD) is the most common dementia in the elderly and is estimated to affect tens of millions of people worldwide. AD is believed to have a prodromal stage lasting ten or more years. While amyloid deposits, tau filaments, and loss of brain cells are characteristics of the disease, the loss of dendritic spines and of synapses predate such changes. Popular preclinical detection strategies mainly involve cerebrospinal fluid biomarkers, magnetic resonance imaging, metabolic PET scans, and amyloid imaging. One strategy missing from this list involves neurophysiological measures, w

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Tiehuis, Audrey M., Esther van den Berg, L. Jaap Kappelle, and Geert Jan Biessels. "Cognition and dementia in Type 2 diabetes: brain imaging correlates and metabolic and vascular risk factors." Aging Health 3, no. 3 (2007): 361–73. http://dx.doi.org/10.2217/1745509x.3.3.361.

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Wang, Min, Jiehui Jiang, Zhuangzhi Yan, et al. "Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s dementia." European Journal of Nuclear Medicine and Molecular Imaging 47, no. 12 (2020): 2753–64. http://dx.doi.org/10.1007/s00259-020-04814-x.

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Abstract Purpose Positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) reveals altered cerebral metabolism in individuals with mild cognitive impairment (MCI) and Alzheimer’s dementia (AD). Previous metabolic connectome analyses derive from groups of patients but do not support the prediction of an individual’s risk of conversion from present MCI to AD. We now present an individual metabolic connectome method, namely the Kullback-Leibler Divergence Similarity Estimation (KLSE), to characterize brain-wide metabolic networks that predict an individual’s risk of conversion from MCI

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Ahmad, Rahnuma, Kona Chowdhury, Santosh Kumar, et al. "Diabetes Mellitus: A Path to Amnesia, Personality, and Behavior Change." Biology 11, no. 3 (2022): 382. http://dx.doi.org/10.3390/biology11030382.

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Type 2 diabetes mellitus is increasingly being associated with cognition dysfunction. Dementia, including vascular dementia and Alzheimer’s Disease, is being recognized as comorbidities of this metabolic disorder. The progressive hallmarks of this cognitive dysfunction include mild impairment of cognition and cognitive decline. Dementia and mild impairment of cognition appear primarily in older patients. Studies on risk factors, neuropathology, and brain imaging have provided important suggestions for mechanisms that lie behind the development of dementia. It is a significant challenge to unde

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Huang, Shu-Hua, Chiung-Chih Chang, Chun-Chung Lui, et al. "Cortical Metabolic and Nigrostriatal Abnormalities Associated With Clinical Stage-Specific Dementia With Lewy Bodies." Clinical Nuclear Medicine 40, no. 1 (2015): 26–31. http://dx.doi.org/10.1097/rlu.0000000000000620.

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Malpetti, Maura, Giulia Carli, Arianna Sala, et al. "Variant-specific vulnerability in metabolic connectivity and resting-state networks in behavioural variant of frontotemporal dementia." Cortex 120 (November 2019): 483–97. http://dx.doi.org/10.1016/j.cortex.2019.07.018.

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Krause, S., T. Göhringer, M. C. Walter, et al. "Brain imaging and neuropsychology in late-onset dementia due to a novel mutation (R93C) of valosin-containing protein." Clinical Neuropathology 26, no. 09 (2007): 232–40. http://dx.doi.org/10.5414/npp26232.

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Navia, Bradford A., and R. Gilberto Gonzalez. "FUNCTIONAL IMAGING OF THE AIDS DEMENTIA COMPLEX AND THE METABOLIC PATHOLOGY OF THE HIV-l-INFECTED BRAIN." Neuroimaging Clinics of North America 7, no. 3 (1997): 431–45. https://doi.org/10.1016/s1052-5149(25)00463-0.

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Tvrdík, Tomáš, Ľubomír Melicherčík, Katarína Šebeková, et al. "In vivo Volumetric, DTI and ¹H MRS Rat Brain Protocol for Monitoring Early Neurodegeneration and Efficacy of the Used Therapy." Measurement Science Review 23, no. 5 (2023): 237–47. http://dx.doi.org/10.2478/msr-2023-0030.

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Abstract The aim of our study was to develop a multimodal experimental protocol for in vivo imaging and metabolic parameters (MRI, DTI and 1H MRS) in an animal model of neurodegeneration. We have successfully developed the protocol for simultaneous DTI/MRI/1H MRS measurement to ensure unaltered conditions for repeatable non-invasive experiments. In this experiment, diffusion tensor imaging, spectroscopic and volumetric “bio-markers” were generated in the brain for the D-galactose model of “age-related dementia”. The hippocampal relative volume, taurine and myo-inositol relative concentrations

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Maier, W. "Distinction of dementia and depression in various stages of the disease processes." European Psychiatry 33, S1 (2016): S39. http://dx.doi.org/10.1016/j.eurpsy.2016.01.883.

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Old age depression is often difficult to discriminate from dementia (particularly of Alzheimer type) – particularly cross-sectionally. Incident dementia is frequently associated with depressed mood and agitation; depression in the elderly goes together with executive and memory dysfunctions; associated psychotic symptoms and activity-of-daily-life dysfunctions are shared by both conditions as well as major risk factors as vascular and metabolic factors. Frequently both syndromes are “masking” each other; depression may furthermore present as the first clinical sign of Alzheimers disease.Yet, b

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