P2-175: DIFFUSION TENSOR IMAGING DETECTION OF COGNITIVE CHANGES IN AMNESTIC MCI

2014 ◽  
Vol 10 ◽  
pp. P534-P535
Author(s):  
Clare Bill Billing ◽  
Jefferey Raunig ◽  
Ninad Mantri ◽  
Gregory Goldmacher ◽  
David Raunig
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cognitive Changes ◽  
Amnestic Mci ◽  
Imaging Detection

scholarly journals Post-mortem cardiac diffusion tensor imaging: detection of myocardial infarction and remodeling of myofiber architecture

2014 ◽  
Vol 24 (11) ◽  
pp. 2810-2818 ◽  
Author(s):  
Sebastian Winklhofer ◽  
Christian T. Stoeck ◽  
Nicole Berger ◽  
Michael Thali ◽  
Robert Manka ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Post Mortem ◽  
Imaging Detection

scholarly journals Eφαρμογή της έγχρωμης χαρτογράφησης του DTI στην ήπια γνωσιακή διαταραχή

2014 ◽  
Author(s):  
Δήμητρα Σαλή
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Tensor Imaging ◽  
Apparent Diffusion Coefficient ◽  
Fractional Anisotropy ◽  
Diffusion Tensor ◽  
Single Domain ◽  
Amnestic Mci ◽  
Apparent Diffusion ◽  
Multiple Domain ◽  
Diffusion Tensor Imaging Dti

Σκοπός: Η ήπια γνωσιακή διαταραχή (ΗΓΔ) θεωρείται πρόδρομο στάδιο της άνοιας. Ο αμνησικός τύπος της ΗΓΔ του ενός τομέα (amnestic MCI single domain-aMCI) μεταπίπτει συνήθως σε άνοια τύπου Alzheimer. Ο αμνησικός τύπος ΗΓΔ πολλαπλών τομέων (Amnestic MCI multiple domain-mdMCI) φαίνεται να εξελίσσεται πιο γρήγορα από τον αμνησικό τύπο του ενός τομέα. Προσπαθώντας να αναγνωρίσουμε την ομάδα ασθενών υψηλού κινδύνου μελετήσαμε τις αλλαγές της λευκής ουσίας στους υποτύπους της ΗΓΔ χρησιμοποιώντας τον Τανυστή Διάχυσης (Diffusion Tensor Imaging-DTI). Επίσης, συσχετίσαμε τα ευρήματα του DTI με τα αποτελέσματα του νευροψυχολογικού ελέγχου. Μέθοδοι: Σαραντατέσσερεις ασθενείς με aMCI, δεκαεννέα με mdMCI και εικοσιπέντε υγιείς συμπεριλήφθηκαν στην μελέτη. Όλοι οι συμμετέχοντες εκτιμήθηκαν με νευροψυχολογικό έλεγχο. Όλοι εξετάσθηκαν με DTI προκειμένου να μετρηθούν η Κλασματική Ανισοτροπία (Fractional Anisotropy-FA) και ο Συντελεστής Διάχυσης (Apparent Diffusion Coefficient-ADC). Οι περιοχές που μελετήθηκαν ήταν το μεσολόβιο, το οπίσθιο προσαγώγιο, το πρόσθιο προσαγώγιο και η άνω επιμήκης δεσμίδα. Η διάχυση και η ανισοτροπία των περιοχών αυτών συσχετίσθηκαν με τις επιδόσεις στις νευροψυχολογικές δοκιμασίες που ελέγχουν την λεκτική και την ακουστική μνήμη. Αποτελέσματα: Δεν βρέθηκαν διαφορές στις μετρήσεις του DTI ανάμεσα στους δύο υποτύπους της ΗΓΔ. Η διάχυση στην ΗΓΔ ήταν αυξημένη σε σχέση με τους υγιείς στο γόνυ, στο οπίσθιο προσαγώγιο, στο αριστερό πρόσθιο προσαγώγιο και στη δεξιά άνω επιμήκη δεσμίδα. Η ανισοτροπία δεν είχε διαφορές. Η λεκτική μνήμη σχετίσθηκε με την διάχυση στο γόνυ, στο οπίσθιο προσαγώγιο, στη δεξιά άνω επιμήκη δεσμίδα και στο δεξιά πρόσθιο προσαγώγιο καθώς και με την ανισοτροπία στην αριστερή άνω επιμήκη δεσμίδα. Η οπτική μνήμη συσχετίσθηκε με την διάχυση στο γόνυ, στο οπίσθιο προσαγώγιο, στο δεξιό πρόσθιο προσαγώγιο και στην άνω επιμήκη δεσμίδα. Η υψηλότερη συσχέτιση βρέθηκε ανάμεσα στην οπτική μνήμη και στη διάχυση του δεξιού οπίσθιου προσαγωγίου(Spearman ρ=0.,45 p<0.001).Συμπέρασμα: Σύμφωνα με το DTI η διάχυση σε κάποιες περιοχές του εγκεφάλου είναι αυξημένη στην ΗΓΔ. Δεν υπάρχει διαφορά στις μετρήσεις του DTI ανάμεσα στους δύο υποτύπους της ΗΓΔ. Τα ευρήματα του DTI συσχετίζονται με τη νοητική λειτουργία.

scholarly journals Diffusion Tensor Imaging Correlates of Concussion Related Cognitive Impairment

2021 ◽  
Vol 12 ◽  
Author(s):  
Angelica C. Gonzalez ◽  
Minseon Kim ◽  
Zafer Keser ◽  
Lamya Ibrahim ◽  
Sonia K. Singh ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Diffusion Tensor Imaging ◽  
Partial Correlation ◽  
Diffusion Tensor ◽  
Inferior Frontal Gyrus ◽  
Mean Diffusivity ◽  
Angular Gyrus ◽  
Lesion Load ◽  
Cognitive Changes ◽  
History Of

Introduction: Cognitive impairment after concussion has been widely reported, but there is no reliable imaging biomarker that predicts the severity of cognitive decline post-concussion. This study tests the hypothesis that patients with a history of concussion and persistent cognitive impairment have fractional anisotropy (FA) and mean diffusivity (MD) values from diffusion tensor imaging (DTI) that are specifically associated with poor performance on the Montreal Cognitive Assessment (MoCA).Methods: Fifty-three subjects (19 females) with concussions and persistent cognitive symptoms had MR imaging and the MoCA. Imaging was analyzed by atlas-based, whole-brain DTI segmentation and FLAIR lesion segmentation. Then, we conducted a random forest-based recursive feature elimination (RFE) with 10-fold cross-validation on the entire dataset, and with partial correlation adjustment for age and lesion load.Results: RFE showed that 11 DTI variables were found to be important predictors of MoCA scores. Partial correlation analyses, corrected for age and lesion load, showed significant correlations between MoCA scores and right fronto-temporal regions: inferior temporal gyrus MD (r = −0.62, p = 0.00001), middle temporal gyrus MD (r = −0.54, p = 0.0001), angular gyrus MD (r = −0.48, p = 0.0008), and inferior frontal gyrus FA (r = 0.44, p = 0.002).Discussion: This is the first study to demonstrate a correlation between MoCA scores and DTI variables in patients with a history of concussion and persistent cognitive impairment. This kind of research will significantly increase our understanding of why certain persons have persistent cognitive changes after concussion which, in turn, may allow us to predict persistent impairment after concussion and suggest new interventions.

scholarly journals The white matter network in cognitive normal elderly predict the rate of cognitive decline

2020 ◽  
Author(s):  
Weijie Huang ◽  
Ni Shu
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Cognitive Decline ◽  
Parietal Lobe ◽  
Diffusion Tensor ◽  
Cognitive Changes ◽  
Cognitive Domains ◽  
Age Related ◽  
The Right ◽  
White Matter Connectivity

AbstractWhite matter degradation has been proposed as one possible explanation for age-related cognitive decline. The human brain is, however, a network and it may be more appropriate to relate cognitive functions to properties of the network rather than specific brain regions. Cognitive domains were measured annually (mean follow-up = 1.25 ± 0.61 years), including processing speed, memory, language, visuospatial, and executive functions. Diffusion tensor imaging was performed at baseline in 90 clinically normal older adults (aged 54–86). We report on graph theory-based analyses of diffusion tensor imaging tract-derived connectivity. The machine learning approach was used to predict the rate of cognitive decline from white matter connectivity data. The reduced efficacy of white matter networks could predict the performance of these cognitive domains except memory. The predicted scores were significantly correlated with the real scores. For the local regions for predicting the cognitive changes, the right precuneus, left inferior parietal lobe and cuneus are the most important regions for predicting monthly change of executive function; some left partial and occipital regions are the most important for the changed of attention; the right frontal and temporal regions are the most important for the changed of language. Our findings suggested that the global white matter connectivity characteristics are the valuable predictive index for the longitudinal cognitive decline. For the first time, topological efficiency of white matter connectivity maps which related to special domains of cognitive decline in the elderly are identified.

scholarly journals Longitudinal diffusion changes following postoperative delirium in older people without dementia

Neurology ◽  
2017 ◽  
Vol 89 (10) ◽  
pp. 1020-1027 ◽  
Author(s):  
Michele Cavallari ◽  
Weiying Dai ◽  
Charles R.G. Guttmann ◽  
Dominik S. Meier ◽  
Long H. Ngo ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Cognitive Performance ◽  
Sex Education ◽  
Successful Aging ◽  
Postoperative Delirium ◽  
Diffusion Tensor ◽  
Elective Surgery ◽  
Study Cohort ◽  
Longitudinal Diffusion ◽  
Cognitive Changes

Objective:To investigate the effect of postoperative delirium on longitudinal brain microstructural changes, as measured by diffusion tensor imaging.Methods:We studied a subset of the larger Successful Aging after Elective Surgery (SAGES) study cohort of older adults (≥70 years) without dementia undergoing elective surgery: 113 participants who had diffusion tensor imaging before and 1 year after surgery. Postoperative delirium severity and occurrence were assessed during the hospital stay using the Confusion Assessment Method and a validated chart review method. We investigated the association of delirium severity and occurrence with longitudinal diffusion changes across 1 year, adjusting for age, sex, vascular comorbidity, and baseline cognitive performance. We also assessed the association between changes in diffusion and cognitive performance across the 1-year follow-up period, adjusting for age, sex, education, and baseline cognitive performance.Results:Postoperative delirium occurred in 25 participants (22%). Delirium severity and occurrence were associated with longitudinal diffusion changes in the periventricular, frontal, and temporal white matter. Diffusion changes were also associated with changes in cognitive performance across 1 year, although the cognitive changes did not show significant association with delirium severity or occurrence.Conclusions:Our study raises the possibility that delirium has an effect on the development of brain microstructural abnormalities, which may reflect brain changes underlying cognitive trajectories. Future studies are warranted to clarify whether delirium is the driving factor of the observed changes or rather a correlate of a vulnerable brain that is at high risk for neurodegenerative processes.

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