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Dive into the research topics where Anahita Adeli is active.

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Featured researches published by Anahita Adeli.


Brain | 2012

Characterization of frontotemporal dementia and/or amyotrophic lateral sclerosis associated with the GGGGCC repeat expansion in C9ORF72

Bradley F. Boeve; Kevin B. Boylan; Neill R. Graff-Radford; Mariely DeJesus-Hernandez; David S. Knopman; Otto Pedraza; Prashanthi Vemuri; David Jones; Val J. Lowe; Melissa E. Murray; Dennis W. Dickson; Keith A. Josephs; Beth K. Rush; Mary M. Machulda; Julie A. Fields; Tanis J. Ferman; Matt Baker; Nicola J. Rutherford; Jennifer Adamson; Zbigniew K. Wszolek; Anahita Adeli; Rodolfo Savica; Brendon Boot; Karen M. Kuntz; Ralitza H. Gavrilova; Andrew L. Reeves; Jennifer L. Whitwell; Kejal Kantarci; Clifford R. Jack; Joseph E. Parisi

Numerous kindreds with familial frontotemporal dementia and/or amyotrophic lateral sclerosis have been linked to chromosome 9, and an expansion of the GGGGCC hexanucleotide repeat in the non-coding region of chromosome 9 open reading frame 72 has recently been identified as the pathogenic mechanism. We describe the key characteristics in the probands and their affected relatives who have been evaluated at Mayo Clinic Rochester or Mayo Clinic Florida in whom the hexanucleotide repeat expansion were found. Forty-three probands and 10 of their affected relatives with DNA available (total 53 subjects) were shown to carry the hexanucleotide repeat expansion. Thirty-six (84%) of the 43 probands had a familial disorder, whereas seven (16%) appeared to be sporadic. Among examined subjects from the 43 families (nu2009=u200963), the age of onset ranged from 33 to 72 years (median 52 years) and survival ranged from 1 to 17 years, with the age of onset <40 years in six (10%) and >60 in 19 (30%). Clinical diagnoses among examined subjects included behavioural variant frontotemporal dementia with or without parkinsonism (nu2009=u200930), amyotrophic lateral sclerosis (nu2009=u200918), frontotemporal dementia/amyotrophic lateral sclerosis with or without parkinsonism (nu2009=u200912), and other various syndromes (nu2009=u20093). Parkinsonism was present in 35% of examined subjects, all of whom had behavioural variant frontotemporal dementia or frontotemporal dementia/amyotrophic lateral sclerosis as the dominant clinical phenotype. No subject with a diagnosis of primary progressive aphasia was identified with this mutation. Incomplete penetrance was suggested in two kindreds, and the youngest generation had significantly earlier age of onset (>10 years) compared with the next oldest generation in 11 kindreds. Neuropsychological testing showed a profile of slowed processing speed, complex attention/executive dysfunction, and impairment in rapid word retrieval. Neuroimaging studies showed bilateral frontal abnormalities most consistently, with more variable degrees of parietal with or without temporal changes; no case had strikingly focal or asymmetric findings. Neuropathological examination of 14 patients revealed a range of transactive response DNA binding protein molecular weight 43 pathology (10 type A and four type B), as well as ubiquitin-positive cerebellar granular neuron inclusions in all but one case. Motor neuron degeneration was detected in nine patients, including five patients without ante-mortem signs of motor neuron disease. While variability exists, most cases with this mutation have a characteristic spectrum of demographic, clinical, neuropsychological, neuroimaging and especially neuropathological findings.


Alzheimer Disease & Associated Disorders | 2011

Fractality and a wavelet-chaos-methodology for EEG-based diagnosis of Alzheimer disease.

Mehran Ahmadlou; Hojjat Adeli; Anahita Adeli

Recently the senior author and his associates developed a spatiotemporal wavelet-chaos methodology for the analysis of electroencephalograms (EEGs) and their subbands for discovering potential markers of abnormality in Alzheimer disease (AD). In this study, fractal dimension (FD) is used for the evaluation of the dynamical changes in the AD brain. The approach presented in this study is based on the research ideology that nonlinear features, such as FD, may not show significant differences between the AD and the control groups in the band-limited EEG, but may manifest in certain subbands. First, 2 different FD algorithms for computing the fractality of EEGs are investigated and their efficacy for yielding potential mathematical markers of AD is compared. They are Katz FD (KFD) and Higuchi FD. Significant features in different loci and different EEG subbands or band-limited EEG for discrimination of the AD and the control groups are determined by analysis of variation. The most discriminative FD and the corresponding loci and EEG subbands for discriminating between AD and healthy EEGs are discovered. As KFD of all loci in the &bgr; subband showed very high ability (P value <0.001) in discriminating between the groups, all KFDs are abstracted in 1 global KFD by averaging across loci in each of the 2 eyes-closed and eyes-open conditions. This leads to a more robust classification in terms of common variation of electrode positions than a classification based on separate KFDs of certain loci. Finally, based on the 2 global features separately and together, linear discriminant analysis is used to classify EEGs of AD and elderly normal patients. A high accuracy of 99.3% was obtained for the diagnosis of the AD based on the global KFD in the &bgr;-band of the eyes-closed condition with a sensitivity of 100% and a specificity of 97.8%.


Clinical Eeg and Neuroscience | 2012

Wavelet Coherence Model for Diagnosis of Alzheimer Disease

Ziad Sankari; Hojjat Adeli; Anahita Adeli

This article presents a wavelet coherence investigation of electroencephalograph (EEG) readings acquired from patients with Alzheimer disease (AD) and healthy controls. Pairwise electrode wavelet coherence is calculated over each frequency band (delta, theta, alpha, and beta). For comparing the synchronization fraction of 2 EEG signals, a wavelet coherence fraction is proposed which is defined as the fraction of the signal time during which the wavelet coherence value is above a certain threshold. A one-way analysis of variance test shows a set of statistically significant differences in wavelet coherence between AD and controls. The wavelet coherence method is effective for studying cortical connectivity at a high temporal resolution. Compared with other conventional AD coherence studies, this study takes into account the time–frequency changes in coherence of EEG signals and thus provides more correlational details. A set of statistically significant differences was found in the wavelet coherence among AD and controls. In particular, temporocentral regions show a significant decrease in wavelet coherence in AD in the delta band, and the parietal and central regions show significant declines in cortical connectivity with most of their neighbors in the theta and alpha bands. This research shows that wavelet coherence can be used as a powerful tool to differentiate between healthy elderly individuals and probable AD patients.


Journal of Neurology | 2013

Ideomotor apraxia in agrammatic and logopenic variants of primary progressive aphasia

Anahita Adeli; Jennifer L. Whitwell; Joseph R. Duffy; Edyth A. Strand; Keith A. Josephs

There are few studies examining praxis in subjects with primary progressive aphasia. The aim of this study was to examine the pattern and severity of ideomotor apraxia in subjects with logopenic and agrammatic variants of primary progressive aphasia and to determine if the presence of ideomotor apraxia correlated with specific neuroanatomical structural abnormalities. Subjects with primary progressive aphasia were prospectively recruited and classified according to published criteria. Using the apraxia subtest of the Western Aphasia Battery, pattern and severity of ideomotor apraxia was examined in all subjects diagnosed with agrammatic and logopenic variants of primary progressive aphasia. The study included 47 subjects, 21 diagnosed with agrammatic variant of primary progressive aphasia and 26 with logopenic variant primary progressive aphasia. Subjects with agrammatic aphasia were older at onset than the logopenic variant (67.2 vs. 61.7xa0years, pxa0=xa00.02), but there was no difference in illness duration prior to evaluation. Those with logopenic aphasia showed more cognitive impairment on the Mini-Mental Status Examination (agrammaticxa0=xa026.7/30, logopenicxa0=xa022/30, pxa0=xa00.002), and a trend for more severe language impairment as measured by the Western Aphasia Battery-Aphasia Quotient (agrammaticxa0=xa082.3, logopenicxa0=xa075.2, pxa0=xa00.11). Strong correlations were found between Western Aphasia Battery-Aphasia Quotient and total apraxia, instrumental apraxia, and complex apraxia, while average to modest correlations were seen with upper limb apraxia and facial apraxia. After adjusting for age, mental status performance, and Western Aphasia Battery-Aphasia Quotient score, those with agrammatic aphasia had a higher degree of total apraxia (pxa0=xa00.004), facial apraxia (pxa0=xa00.03), instrumental apraxia (pxa0=xa00.0006), and complex apraxia (pxa0=xa00.0006) than those with logopenic aphasia. The agrammatic variant of primary progressive aphasia was associated with greater praxis deficits but less cognitive impairment than the logopenic variant. The presence of ideomotor apraxia was associated with grey matter loss in the left lateral premotor cortex with extension into the motor cortex. These findings suggest that although some affected areas in the agrammatic and logopenic variants of primary progressive aphasia overlap, there exists an area that is more affected in the agrammatic variant than the logopenic variant that accounts for the greater association of agrammatic aphasia with ideomotor apraxia.


JAMA Neurology | 2012

Characterization of a family with c9FTD/ALS associated with the GGGGCC repeat expansion in C9ORF72

Rodolfo Savica; Anahita Adeli; Prashanthi Vemuri; David S. Knopman; Mariely DeJesus-Hernandez; Rosa Rademakers; Julie A. Fields; Jennifer L. Whitwell; Clifford R. Jack; Val J. Lowe; Ronald C. Petersen; Bradley F. Boeve

BACKGROUNDnThe hexanucleotide repeat in the chromosome 9 open reading frame 72 (C9ORF72) gene was recently discovered as the underlying genetic cause of many families with frontotemporal dementia (FTD) and/or amyotrophic lateral sclerosis (ALS) linked to chromosome 9 (c9FTD/ALS). We report the clinical, neuropsychologic, and neuroimaging findings of a family with the C9ORF72 mutation and clinical diagnoses bridging the FTD, parkinsonism, and ALS spectrum.nnnOBJECTIVEnTo characterize the antemortem characteristics of a family with c9FTD/ALS associated with the GGGGCC repeat expansion in C9ORF72.nnnDESIGNnClinical series.nnnSETTINGnTertiary care academic medical center. PATIENTS The members of a family affected by the mutation with features of FTD and/or ALS.nnnMAIN OUTCOME MEASURESnClinical, neuropsychologic, and neuroimaging assessments.nnnRESULTSnAll 3 examined subjects had the hexanucleotide expansion detected in C9ORF72. All had personality/behavioral changes early in the course of the disease. One case had levodopa-unresponsive parkinsonism, and 1 had ALS. Magnetic resonance imaging showed symmetric bilateral frontal, temporal, insular, and cingulate atrophy.nnnCONCLUSIONSnThis report highlights the clinical and neuroimaging characteristics of a family with c9FTD/ALS. Further studies are needed to better understand the phenotypical variability and the cliniconeuroimaging-neuropathologic correlations.


Reviews in The Neurosciences | 2016

Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

Golrokh Mirzaei; Anahita Adeli; Hojjat Adeli

Abstract Alzheimer’s disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection of this disease in the past decade. The sensitivity of biomarkers and the accuracy of the detection techniques have been defined to be the key to an accurate diagnosis. This paper presents a state-of-the-art review of the research performed on the diagnosis of AD based on imaging and machine learning techniques. Different segmentation and machine learning techniques used for the diagnosis of AD are reviewed including thresholding, supervised and unsupervised learning, probabilistic techniques, Atlas-based approaches, and fusion of different image modalities. More recent and powerful classification techniques such as the enhanced probabilistic neural network of Ahmadlou and Adeli should be investigated with the goal of improving the diagnosis accuracy. A combination of different image modalities can help improve the diagnosis accuracy rate. Research is needed on the combination of modalities to discover multi-modal biomarkers.


Neurocase | 2014

The GGGGCC Repeat Expansion in C9ORF72 in a Case with Discordant Clinical and FDG-PET Findings: PET Trumps Syndrome

Anahita Adeli; Rodolfo Savica; Val J. Lowe; Prashanthi Vemuri; David S. Knopman; Mariely DeJesus-Hernandez; Rosa Rademakers; Julie A. Fields; Brian A. Crum; Clifford R. Jack; Ronald C. Petersen; Bradley F. Boeve

A hexanucleotide repeat expansion in the chromosome 9 open reading frame 72 (C9ORF72) gene was recently discovered as the cause underlying frontotemporal degeneration (FTD) and/or amyotrophic lateral sclerosis (ALS) linked to chromosome 9 (c9FTD/ALS). In this atypical case of c9FTD/ALS, the proband presented with amnestic mild cognitive impairment which evolved into Alzheimer’s disease (AD)-type dementia and later developed ALS. Fluorodeoxyglucose-positron emission tomography of the brain demonstrated mild hypometabolism involving the medial frontal and lateral temporal lobes, left more so than right, which progressed over time. He was subsequently confirmed to have the C9ORF72 expansion. This report highlights the need to consider mutations in the FTD-associated genes when a familial disorder is suggested and neuroimaging studies reveal findings atypical of an AD pathophysiological process despite the typical anterograde amnestic syndrome.


Amyotrophic Lateral Sclerosis | 2013

Clinical and electrophysiologic variability in amyotrophic lateral sclerosis within a kindred harboring the C9ORF72 repeat expansion.

Elizabeth A. Coon; Jasper R. Daube; Mariely DeJesus-Hernandez; Anahita Adeli; Rodolfo Savica; Joseph E. Parisi; Dennis W. Dickson; Keith A. Josephs; Matt Baker; Kris Johnson; Robert J. Ivnik; Ronald C. Petersen; David S. Knopman; Kevin B. Boylan; Rosa Rademakers; Bradley F. Boeve

Abstract Our objective was to characterize the motor neuron disease features within a large c9FTD/ALS kindred. We analyzed clinical, electrophysiologic and neuropathologic data in a c9FTD/ALS kindred of Scandinavian ancestry. Results showed that of six family members affected, three had only ALS, two had FTD and one had FTD and ALS. Each patient with motor neuron disease had a different clinical presentation: one patient had only bulbar symptoms, one had bulbar and limb involvement, one had limb symptoms, and one had primarily upper motor neuron disease. Later in the course of disease, all ALS patients developed bulbar involvement and died from respiratory causes. Survival was uniformly short (two to five years). Electrophysiologic studies recorded progressive lower motor neuron dysfunction except in the patient with predominantly upper motor neuron features. In conclusion, this kindred demonstrates that the presentation of ALS within c9FTD/ALS families may vary considerably and electrophysiologic findings reflect this heterogeneity.


Neurology | 2012

Characterization of Frontotemporal Dementia +/- Amyotrophic Lateral Sclerosis Associated with the GGGGCC Repeat Expansion in C9ORF72 (S54.005)

B. F. Boeve; Neil Graff-Radford; Kevin B. Boylan; Mariely DeJesus-Hernandez; D. S. Knopman; K. A. Josephs; Otto Pedraza; Prashanthi Vemuri; Beth K. Rush; Julie A. Fields; Tanis J. Ferman; Matt Baker; Nicola J. Rutherford; David Jones; Val Lowe; Zbigniew K. Wszolek; Anahita Adeli; Rodolfo Savica; Brendon Boot; Ralitza H. Gavrilova; Karen M. Kuntz; J. L. Whitwell; Kejal Kantarci; C. R. Jack; Dennis W. Dickson; Joseph E. Parisi; John A. Lucas; R. C. Petersen; Rosa Rademakers


Neurology | 2012

Antemortem Characterization of a Kindred Carrying the Non-Coding GGGGCC Hexanucleotide Repeat Expansion in C9ORF72 (IN9-1.009)

Anahita Adeli; Bradley F. Boeve; Mariely DeJesus-Hernandez; Matt Baker; Nicola J. Rutherford; David S. Knopman; Robert J. Ivnik; Julie A. Fields; Ronald C. Petersen; Rosa Rademakers

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