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1.
Schizophr Res ; 255: 246-255, 2023 05.
Artículo en Inglés | MEDLINE | ID: mdl-37043842

RESUMEN

BACKGROUND: Local gyrification index (lGI), indicative of the degree of cortical folding is a proxy marker for early cortical neurodevelopmental abnormalities. We studied the difference in lGI between those who do and do not convert to psychosis (non-converters) in a clinical high-risk (CHR) cohort, and whether lGI predicts conversion to psychosis. METHODS: Seventy-two CHR participants with attenuated positive symptom syndrome were followed up for two years. The difference in baseline whole-brain lGI was examined on the T1-weighted MRIs between, i)CHR (N = 72) and healthy controls (N = 19), ii)Converters to psychosis (N = 24) and non-converters (N = 48), adjusting for age and sex, on Freesurfer-6.0. The significant cluster obtained in the converters versus non-converters comparison was registered as a region of interest to individual images of all 72 participants and lGI values were extracted from this region. A cox proportional hazards model was applied with these values to study whether lGI predicts conversion to psychosis. RESULTS: lGI was not different between CHR and healthy controls. lGI was increased in converters in the right-sided inferior parietal and lateral occipital areas (corrected cluster-wise-p-value = 0.009, cohen's f = 0.42) compared to non-converters, which significantly increased the risk of onset of psychosis (p = 0.029, hazard ratio = 1.471). CONCLUSIONS: Increased gyrification in the right-sided inferior parietal and lateral occipital area differentiates converters to psychosis in CHR, significantly increasing the risk of conversion to psychosis. This measure may reflect underlying traits in parts of the brain that develop earliest in-utero (parietal and occipital), conferring a heightened vulnerability to convert to syndromal psychosis subsequently.


Asunto(s)
Imagen por Resonancia Magnética , Trastornos Psicóticos , Humanos , Trastornos Psicóticos/diagnóstico por imagen , Lóbulo Occipital/diagnóstico por imagen , Encéfalo , Síndrome , Corteza Cerebral
2.
Neurology ; 2022 Sep 19.
Artículo en Inglés | MEDLINE | ID: mdl-36123123

RESUMEN

BACKGROUND AND OBJECTIVES: Although Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) represent two different pathologies, they have clinical overlap, and there is a significant degree of co-occurrence of their neuropathological findings. Many studies have examined imaging characteristics in clinically diagnosed patients; however, there is a relative lack of longitudinal studies that have studied patients with pathological confirmation. We examined whether there were differences in longitudinal patterns of cortical atrophy between patients with both AD and DLB (AD/DLB) vs. those with AD alone. METHODS: We collected and analyzed clinical and neuroimaging data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database for patients who underwent autopsy. The rates of change in various neuropsychological assessments were not significantly different between AD/DLB and AD patients, and each group had neuropsychological outcomes consistent with disease progression. For our neuroimaging analysis, we used a linear mixed effects model to examine if there were longitudinal differences in cortical rates of atrophy between AD/DLB and AD patients. RESULTS: Autopsies and serial neuroimaging was available on 48 patients (24 AD, 24 AD/DLB). Patients with AD alone had significantly higher atrophy rates in the left cuneus, lateral occipital, and parahippocampal regions over time when compared to patients with concomitant DLB, after covarying for interval from imaging to autopsy, gender, and total estimated intracranial volume (eTIV). Site ID was included as a random effect to account for site differences. For these regions, the rate of decline over time in the AD/DLB group were less steep by a difference of 0.1887, 0.395, and 0.0989, respectively (p =.022, .006, and .006). The lattermost left cuneus volume measurement also positively correlated to Braak Lewy score (Pearson's product-moment correlation 0.37, p=.009), while the lattermost left parahippocampal volume measurement negatively correlated to Braak NFT score (Pearson's product-moment correlation -0.327, p=.02). DISCUSSION: AD patients had more significant atrophy in the left cuneus, lateral occipital, and parahippocampal regions when compared to AD/DLB patients. These regions are known to distinguish DLB and AD pathology cross-sectionally, but here are shown to distinguish longitudinal disease progression.

3.
J Geriatr Psychiatry Neurol ; 35(1): 78-88, 2022 01.
Artículo en Inglés | MEDLINE | ID: mdl-33030106

RESUMEN

OBJECTIVES: To understand the differential neuroanatomical substrates underlying apathy and depression in Frontotemporal dementia (FTD). METHODS: T1-MRIs and clinical data of patients with behavioral and aphasic variants of FTD were obtained from an open database. Cortical thickness was derived, its association with apathy severity and difference between the depressed and not depressed were examined with appropriate covariates. RESULTS: Apathy severity was significantly associated with cortical thinning of the lateral parts of the right sided frontal, temporal and parietal lobes. The right sided orbitofrontal, parsorbitalis and rostral anterior cingulate cortex were thicker in depressed compared to patients not depressed. CONCLUSIONS: Greater thickness of right sided ventromedial and inferior frontal cortex in depression compared to patients without depression suggests a possible requisite of gray matter in this particular area for the manifestation of depression in FTD. This study demonstrates a method for deriving neuroanatomical patterns across non-harmonized neuroimaging data in a neurodegenerative disease.


Asunto(s)
Apatía , Demencia Frontotemporal , Enfermedades Neurodegenerativas , Depresión/diagnóstico por imagen , Demencia Frontotemporal/diagnóstico por imagen , Humanos , Imagen por Resonancia Magnética
4.
Psychiatry Res Neuroimaging ; 312: 111287, 2021 06 30.
Artículo en Inglés | MEDLINE | ID: mdl-33848727

RESUMEN

Suicide is a major cause of death in psychosis and associated with significant morbidity. Suicidal ideation (SI) is very common in those at clinical high-risk for psychosis (CHR) and predicts later suicide. Despite substantial work on the pathobiology of suicide in schizophrenia, little is known of its neurobiological underpinnings in the CHR or putatively prodromal state. Therefore, in this pilot study, we examined the neurobiology of SI in CHR individuals using structural MRI. Subjects were aged 14-30 and met criteria for the Attenuated Positive Symptom Psychosis-Risk Syndrome (APSS) delineated in the Structured Interview for Psychosis-Risk Syndromes (SIPS). Suicidality was assessed using the Columbia Suicide Severity Rating Scale (C-SSRS). Volumetric MRI scans were obtained on a 3T Phillips scanner. MRI data were available for 69 individuals (19 CHR without SI, 31 CHR with SI and 19 healthy control subjects). CHR individuals with SI had thicker middle temporal and right insular cortices than CHR individuals without SI and healthy control subjects. The location of these findings is consistent with neurobiological findings regarding suicide in syndromal psychosis. These findings underscore the potential for the use of brain imaging biomarkers of suicide risk in CHR individuals.


Asunto(s)
Trastornos Psicóticos , Ideación Suicida , Adolescente , Adulto , Humanos , Imagen por Resonancia Magnética , Proyectos Piloto , Síntomas Prodrómicos , Trastornos Psicóticos/diagnóstico por imagen , Adulto Joven
5.
J Psychiatr Res ; 137: 368-375, 2021 05.
Artículo en Inglés | MEDLINE | ID: mdl-33761425

RESUMEN

BACKGROUND: Posttraumatic Stress Disorder (PTSD) is an increasingly prevalent condition among older adults and may escalate further as the general population including veterans from recent conflicts grow older. Despite growing evidence of higher medical comorbidity, cognitive impairment and dementia, and disability in older individuals with PTSD, there are very few studies examining brain cortical structure in this population. Hence, we examined cortical volumes in a cross-sectional study of veterans and civilians aged ≥50 years, of both sexes and exposed to trauma (interpersonal, combat, non-interpersonal). METHODS: Cortical volumes were obtained from T1-weighted structural MRI and compared between individuals with PTSD and Trauma Exposed Healthy Controls (TEHC) adjusting for age, sex, estimated intracranial volume, depression severity, and time elapsed since trauma exposure. RESULTS: The PTSD group (N = 55) had smaller right parahippocampal gyrus compared to TEHC (N = 36), corrected p(pFWER) = 0.034, with an effect size of 0.75 (Cohen's d), with no significant group differences in other cortical areas. CONCLUSIONS: These findings are different from the structural brain findings reported in studies in younger age groups (larger parahippocampal volume in PTSD patients), suggesting a possible significant change in brain structure as PTSD patients age. These results need replication in longitudinal studies across the age-span to test whether they are neuroanatomical markers representing disease vulnerability, trauma resilience or pathological neurodegeneration associated with cognitive impairment and dementia.


Asunto(s)
Trastornos por Estrés Postraumático , Veteranos , Anciano , Encéfalo , Estudios Transversales , Femenino , Humanos , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad , Trastornos por Estrés Postraumático/diagnóstico por imagen , Trastornos por Estrés Postraumático/epidemiología
6.
Alzheimers Dement (Amst) ; 13(1): e12264, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-35005197

RESUMEN

INTRODUCTION: Positron emission tomography (PET) imaging targeting neurofibrillary tau tangles is increasingly used in the study of Alzheimer's disease (AD), but its utility may be limited by conventional quantitative or qualitative evaluation techniques in earlier disease states. Convolutional neural networks (CNNs) are effective in learning spatial patterns for image classification. METHODS: 18F-MK6240 (n = 320) and AV-1451 (n = 446) PET images were pooled from multiple studies. We performed iterations with differing permutations of radioligands, heuristics, and architectures. Performance was compared to a standard region of interest (ROI)-based approach on prediction of memory impairment. We visualized attention of the network to illustrate decision making. RESULTS: Overall, models had high accuracy (> 80%) with good average sensitivity and specificity (75% and 82%, respectively), and had comparable or higher accuracy to the ROI standard. Visualizations of model attention highlight known characteristics of tau radioligand binding. DISCUSSION: CNNs could improve tau PET's role in early disease and extend the utility of tau PET across generations of radioligands.

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