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  1. Article ; Online: Quantified Brain Magnetic Resonance Imaging Volumes Differentiate Behavioral Variant Frontotemporal Dementia from Early-Onset Alzheimer's Disease.

    Meysami, Somayeh / Raji, Cyrus A / Mendez, Mario F

    Journal of Alzheimer's disease : JAD

    2022  Volume 87, Issue 1, Page(s) 453–461

    Abstract: Background: The differentiation of behavioral variant frontotemporal dementia (bvFTD) from early-onset Alzheimer's disease (EOAD) by clinical criteria can be inaccurate. The volumetric quantification of clinically available magnetic resonance (MR) brain ...

    Abstract Background: The differentiation of behavioral variant frontotemporal dementia (bvFTD) from early-onset Alzheimer's disease (EOAD) by clinical criteria can be inaccurate. The volumetric quantification of clinically available magnetic resonance (MR) brain scans may facilitate early diagnosis of these neurodegenerative dementias.
    Objective: To determine if volumetric quantification of brain MR imaging can identify persons with bvFTD from EOAD.
    Methods: 3D T1 MR brain scans of 20 persons with bvFTD and 45 with EOAD were compared using Neuroreader to measure subcortical, and lobar volumes, and Volbrain for hippocampal subfields. Analyses included: 1) discriminant analysis with leave one out cross-validation; 2) input of predicted probabilities from this process into a receiver operator characteristic (ROC) analysis; and 3) Automated linear regression to identify predictive regions.
    Results: Both groups were comparable in age and sex with no statistically significant differences in symptom duration. bvFTD had lower volume percentiles in frontal lobes, thalamus, and putamen. EOAD had lower parietal lobe volumes. ROC analyses showed 99.3% accuracy with Neuroreader percentiles and 80.2% with subfields. The parietal lobe was the most predictive percentile. Although there were differences in hippocampal (particularly left CA2-CA3) subfields, it did not add to the discriminant analysis.
    Conclusion: Percentiles from an MR based volumetric quantification can help differentiate between bvFTD from EOAD in routine clinical care. Use of hippocampal subfield volumes does not enhance the diagnostic separation of these two early-onset dementias.
    MeSH term(s) Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/pathology ; Brain/diagnostic imaging ; Brain/pathology ; Frontotemporal Dementia/diagnostic imaging ; Frontotemporal Dementia/pathology ; Humans ; Magnetic Resonance Imaging/methods ; Neuroimaging
    Language English
    Publishing date 2022-03-02
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-215667
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Neurobiology of COVID-19.

    Fotuhi, Majid / Mian, Ali / Meysami, Somayeh / Raji, Cyrus A

    Journal of Alzheimer's disease : JAD

    2020  Volume 76, Issue 1, Page(s) 3–19

    Abstract: Anosmia, stroke, paralysis, cranial nerve deficits, encephalopathy, delirium, meningitis, and seizures are some of the neurological complications in patients with coronavirus disease-19 (COVID-19) which is caused by acute respiratory syndrome coronavirus ...

    Abstract Anosmia, stroke, paralysis, cranial nerve deficits, encephalopathy, delirium, meningitis, and seizures are some of the neurological complications in patients with coronavirus disease-19 (COVID-19) which is caused by acute respiratory syndrome coronavirus 2 (SARS-Cov2). There remains a challenge to determine the extent to which neurological abnormalities in COVID-19 are caused by SARS-Cov2 itself, the exaggerated cytokine response it triggers, and/or the resulting hypercoagulapathy and formation of blood clots in blood vessels throughout the body and the brain. In this article, we review the reports that address neurological manifestations in patients with COVID-19 who may present with acute neurological symptoms (e.g., stroke), even without typical respiratory symptoms such as fever, cough, or shortness of breath. Next, we discuss the different neurobiological processes and mechanisms that may underlie the link between SARS-Cov2 and COVID-19 in the brain, cranial nerves, peripheral nerves, and muscles. Finally, we propose a basic "NeuroCovid" classification scheme that integrates these concepts and highlights some of the short-term challenges for the practice of neurology today and the long-term sequalae of COVID-19 such as depression, OCD, insomnia, cognitive decline, accelerated aging, Parkinson's disease, or Alzheimer's disease in the future. In doing so, we intend to provide a basis from which to build on future hypotheses and investigations regarding SARS-Cov2 and the nervous system.
    MeSH term(s) Betacoronavirus ; Brain/metabolism ; Brain/pathology ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/metabolism ; Coronavirus Infections/pathology ; Humans ; Inflammation Mediators/metabolism ; Nervous System Diseases/epidemiology ; Nervous System Diseases/metabolism ; Nervous System Diseases/pathology ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/metabolism ; Pneumonia, Viral/pathology ; SARS-CoV-2
    Chemical Substances Inflammation Mediators
    Keywords covid19
    Language English
    Publishing date 2020-06-15
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-200581
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Quantitative MRI Differences Between Early versus Late Onset Alzheimer's Disease.

    Meysami, Somayeh / Raji, Cyrus A / Merrill, David A / Porter, Verna R / Mendez, Mario F

    American journal of Alzheimer's disease and other dementias

    2021  Volume 36, Page(s) 15333175211055325

    Abstract: Investigators report greater parietal tau deposition and alternate frontoparietal network involvement in early onset Alzheimer's Disease (EOAD) with onset <65 years as compared with typical late onset AD (LOAD). To determine whether clinical brain MRI ... ...

    Abstract Investigators report greater parietal tau deposition and alternate frontoparietal network involvement in early onset Alzheimer's Disease (EOAD) with onset <65 years as compared with typical late onset AD (LOAD). To determine whether clinical brain MRI volumes reflect these differences in EOAD compared with LOAD. This study investigated the clinical MRI scans of 45 persons with Clinically Probable AD with onset <65 years, and compared them to 32 with Clinically Probable AD with onset ≥65 years. Brain volumes on their T1 MRI scans were quantified with a volumetric program. Receiver operating curve analyses were performed. Persons with EOAD had significantly smaller parietal lobes (volumetric percentiles) than LOAD. Late onset Alzheimer's Disease had a smaller left putamen and hippocampus. Area Under the Curve was 96
    MeSH term(s) Age of Onset ; Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/pathology ; Atrophy/pathology ; Hippocampus/diagnostic imaging ; Hippocampus/pathology ; Humans ; Magnetic Resonance Imaging
    Language English
    Publishing date 2021-11-24
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1283069-0
    ISSN 1938-2731 ; 0895-5336 ; 1082-5207 ; 1533-3175
    ISSN (online) 1938-2731
    ISSN 0895-5336 ; 1082-5207 ; 1533-3175
    DOI 10.1177/15333175211055325
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Emerging advances of in vivo detection of chronic traumatic encephalopathy and traumatic brain injury.

    Dallmeier, Julian D / Meysami, Somayeh / Merrill, David A / Raji, Cyrus A

    The British journal of radiology

    2019  Volume 92, Issue 1101, Page(s) 20180925

    Abstract: Chronic traumatic encephalopathy (CTE) is a neurodegenerative disorder that is of epidemic proportions in contact sports athletes and is linked to subconcussive and concussive repetitive head impacts (RHI). Although postmortem analysis is currently the ... ...

    Abstract Chronic traumatic encephalopathy (CTE) is a neurodegenerative disorder that is of epidemic proportions in contact sports athletes and is linked to subconcussive and concussive repetitive head impacts (RHI). Although postmortem analysis is currently the only confirmatory method to diagnose CTE, there has been progress in early detection techniques of fluid biomarkers as well as in advanced neuroimaging techniques. Specifically, promising new methods of diffusion MRI and radionucleotide PET scans could aid in the early detection of CTE.The authors examine early detection methods focusing on various neuroimaging techniques. Advances in structural and diffusion MRI have demonstrated the ability to measure volumetric and white matter abnormalities associated with CTE. Recent studies using radionucleotides such as flortaucipir and
    MeSH term(s) Brain/diagnostic imaging ; Brain/pathology ; Brain Injuries, Traumatic/diagnostic imaging ; Brain Injuries, Traumatic/pathology ; Chronic Traumatic Encephalopathy/diagnostic imaging ; Chronic Traumatic Encephalopathy/pathology ; Diagnostic Imaging/methods ; Humans ; Neuroimaging/methods
    Language English
    Publishing date 2019-07-26
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2982-8
    ISSN 1748-880X ; 0007-1285
    ISSN (online) 1748-880X
    ISSN 0007-1285
    DOI 10.1259/bjr.20180925
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  5. Article ; Online: Brain Structure in Bilingual Compared to Monolingual Individuals with Alzheimer's Disease: Proof of Concept.

    Raji, Cyrus A / Meysami, Somayeh / Merrill, David A / Porter, Verna R / Mendez, Mario F

    Journal of Alzheimer's disease : JAD

    2020  Volume 76, Issue 1, Page(s) 275–280

    Abstract: Background: Bilingualism is increasingly recognized as protective in persons at risk for Alzheimer's disease (AD).: Objective: Compare MRI measured brain volumes in matched bilinguals versus monolinguals with AD.: Methods: This IRB approved study ... ...

    Abstract Background: Bilingualism is increasingly recognized as protective in persons at risk for Alzheimer's disease (AD).
    Objective: Compare MRI measured brain volumes in matched bilinguals versus monolinguals with AD.
    Methods: This IRB approved study analyzed T1 volumetric brain MRIs of patients with criteria-supported Probable AD. We identified 17 sequential bilinguals (any native language) with Probable AD, matched to 28 (62%) monolinguals on age and MMSE. Brain volumes were quantified with Neuroreader. Regional volumes as fraction of total intracranial volume (TIV) were compared between both groups, and Cohen's D effect sizes were calculated for statistically significant structures. Partial correlations between bilingualism and brain volumes adjusted for age, gender, and TIV.
    Results: Bilinguals had higher brain volumes in 37 structures. Statistical significance (p < 0.05) was observed in brainstem (t = 2.33, p = 0.02, Cohen's D = 0.71) and ventral diencephalon (t = 3.01, p = 0.004, Cohen's D = 0.91). Partial correlations showed statistical significance between bilingualism and larger volumes in brainstem (rp = 0 . 37, p = 0.01), thalamus (rp = 0.31, p = 0.04), ventral diencephalon (rp = 0.50, p = 0.001), and pallidum (rp = 0.38, p = 0.01). Bilingualism positively correlated with hippocampal volume, though not statistically significant (rp = 0.17, p = 0.26). No brain volumes were larger in monolinguals.
    Conclusion: Bilinguals demonstrated larger thalamic, ventral diencephalon, and brainstem volumes compared to matched monolinguals with AD. This may represent a neural substrate for increased cognitive reserve in bilingualism. Future studies should extrapolate this finding into cognitively normal persons at risk for AD.
    MeSH term(s) Aged ; Aged, 80 and over ; Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/psychology ; Brain/diagnostic imaging ; Brain/physiology ; Cognitive Reserve/physiology ; Cohort Studies ; Female ; Humans ; Language ; Magnetic Resonance Imaging/trends ; Male ; Middle Aged ; Multilingualism ; Neuropsychological Tests ; Proof of Concept Study
    Language English
    Publishing date 2020-06-08
    Publishing country Netherlands
    Document type Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-200200
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  6. Article: Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals.

    Raji, Cyrus A / Meysami, Somayeh / Hashemi, Sam / Garg, Saurabh / Akbari, Nasrin / Gouda, Ahmed / Chodakiewitz, Yosef Gavriel / Nguyen, Thanh Duc / Niotis, Kellyann / Merrill, David A / Attariwala, Rajpaul

    Aging and disease

    2023  

    Abstract: Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented ... ...

    Abstract Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression analyses of abdominal fat types and normalized brain volumes were evaluated, controlling for age and sex. Logistic regression models determined the risk of brain total gray and white matter volume loss from the highest quartile of visceral fat and lowest quartile of these brain volumes. This cohort had an average age of 52.9 ± 13.1 years with 52.8% men and 47.2% women. Segmented visceral abdominal fat predicted lower volumes in multiple regions including: total gray matter volume (r = -.44, p<.001), total white matter volume (r =-.41, p<.001), hippocampus (r = -.39, p< .001), frontal cortex (r = -.42, p<.001), temporal lobes (r = -.44, p<.001), parietal lobes (r = -.39, p<.001), occipital lobes (r =-.37, p<.001). Women showed lower brain volumes than men related to increased visceral fat. Visceral fat predicted increased risk for lower total gray matter (age 20-39: OR = 5.9; age 40-59, OR = 5.4; 60-80, OR = 5.1) and low white matter volume: (age 20-39: OR = 3.78; age 40-59, OR = 4.4; 60-80, OR = 5.1). Higher subcutaneous fat is related to brain volume loss. Elevated visceral and subcutaneous fat predicted lower brain volumes and may represent novel modifiable factors in determining brain health.
    Language English
    Publishing date 2023-08-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2625789-0
    ISSN 2152-5250
    ISSN 2152-5250
    DOI 10.14336/AD.2023.0820
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  7. Article ; Online: Exercise-Related Physical Activity Relates to Brain Volumes in 10,125 Individuals.

    Raji, Cyrus A / Meysami, Somayeh / Hashemi, Sam / Garg, Saurabh / Akbari, Nasrin / Ahmed, Gouda / Chodakiewitz, Yosef Gavriel / Nguyen, Thanh Duc / Niotis, Kellyann / Merrill, David A / Attariwala, Rajpaul

    Journal of Alzheimer's disease : JAD

    2023  Volume 97, Issue 2, Page(s) 829–839

    Abstract: Background: The potential neuroprotective effects of regular physical activity on brain structure are unclear, despite links between activity and reduced dementia risk.: Objective: To investigate the relationships between regular moderate to vigorous ...

    Abstract Background: The potential neuroprotective effects of regular physical activity on brain structure are unclear, despite links between activity and reduced dementia risk.
    Objective: To investigate the relationships between regular moderate to vigorous physical activity and quantified brain volumes on magnetic resonance neuroimaging.
    Methods: A total of 10,125 healthy participants underwent whole-body MRI scans, with brain sequences including isotropic MP-RAGE. Three deep learning models analyzed axial, sagittal, and coronal views from the scans. Moderate to vigorous physical activity, defined by activities increasing respiration and pulse rate for at least 10 continuous minutes, was modeled with brain volumes via partial correlations. Analyses adjusted for age, sex, and total intracranial volume, and a 5% Benjamini-Hochberg False Discovery Rate addressed multiple comparisons.
    Results: Participant average age was 52.98±13.04 years (range 18-97) and 52.3% were biologically male. Of these, 7,606 (75.1%) reported engaging in moderate or vigorous physical activity approximately 4.05±3.43 days per week. Those with vigorous activity were slightly younger (p < 0.00001), and fewer women compared to men engaged in such activities (p = 3.76e-15). Adjusting for age, sex, body mass index, and multiple comparisons, increased days of moderate to vigorous activity correlated with larger normalized brain volumes in multiple regions including: total gray matter (Partial R = 0.05, p = 1.22e-7), white matter (Partial R = 0.06, p = 9.34e-11), hippocampus (Partial R = 0.05, p = 5.96e-7), and frontal, parietal, and occipital lobes (Partial R = 0.04, p≤1.06e-5).
    Conclusions: Exercise-related physical activity is associated with increased brain volumes, indicating potential neuroprotective effects.
    MeSH term(s) Humans ; Male ; Female ; Aged ; Aged, 80 and over ; Neuroprotective Agents ; Brain/diagnostic imaging ; Brain/pathology ; Gray Matter/diagnostic imaging ; Gray Matter/pathology ; Magnetic Resonance Imaging/methods ; Exercise
    Chemical Substances Neuroprotective Agents
    Language English
    Publishing date 2023-12-17
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-230740
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  8. Article: Neurobiology of COVID-19

    Fotuhi, Majid / Mian, Ali / Meysami, Somayeh / Raji, Cyrus A

    J Alzheimers Dis

    Abstract: Anosmia, stroke, paralysis, cranial nerve deficits, encephalopathy, delirium, meningitis, and seizures are some of the neurological complications in patients with coronavirus disease-19 (COVID-19) which is caused by acute respiratory syndrome coronavirus ...

    Abstract Anosmia, stroke, paralysis, cranial nerve deficits, encephalopathy, delirium, meningitis, and seizures are some of the neurological complications in patients with coronavirus disease-19 (COVID-19) which is caused by acute respiratory syndrome coronavirus 2 (SARS-Cov2). There remains a challenge to determine the extent to which neurological abnormalities in COVID-19 are caused by SARS-Cov2 itself, the exaggerated cytokine response it triggers, and/or the resulting hypercoagulapathy and formation of blood clots in blood vessels throughout the body and the brain. In this article, we review the reports that address neurological manifestations in patients with COVID-19 who may present with acute neurological symptoms (e.g., stroke), even without typical respiratory symptoms such as fever, cough, or shortness of breath. Next, we discuss the different neurobiological processes and mechanisms that may underlie the link between SARS-Cov2 and COVID-19 in the brain, cranial nerves, peripheral nerves, and muscles. Finally, we propose a basic "NeuroCovid" classification scheme that integrates these concepts and highlights some of the short-term challenges for the practice of neurology today and the long-term sequalae of COVID-19 such as depression, OCD, insomnia, cognitive decline, accelerated aging, Parkinson's disease, or Alzheimer's disease in the future. In doing so, we intend to provide a basis from which to build on future hypotheses and investigations regarding SARS-Cov2 and the nervous system.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #601305
    Database COVID19

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  9. Article ; Online: Deficits in Regional Cerebral Blood Flow on Brain SPECT Predict Treatment Resistant Depression.

    Amen, Daniel G / Taylor, Derek V / Meysami, Somayeh / Raji, Cyrus A

    Journal of Alzheimer's disease : JAD

    2018  Volume 63, Issue 2, Page(s) 529–538

    Abstract: Background: Depression remains an important risk factor for Alzheimer's disease, yet few neuroimaging biomarkers are available to identify treatment response in depression.: Objective: To analyze and compare functional perfusion neuroimaging in ... ...

    Abstract Background: Depression remains an important risk factor for Alzheimer's disease, yet few neuroimaging biomarkers are available to identify treatment response in depression.
    Objective: To analyze and compare functional perfusion neuroimaging in persons with treatment resistant depression (TRD) compared to those experiencing full remission.
    Methods: A total of 951 subjects from a community psychiatry cohort were scanned with perfusion single photon emission computed tomography (SPECT) of the brain in both resting and task related settings. Of these, 78% experienced either full remission (n = 506) or partial remission (n = 237) and 11% were minimally responsive (n = 103) or non-responsive (11%. n = 106). Severity of depression symptoms were used to define these groups with changes in the Beck Depression Inventory prior to and following treatment. Voxel-based analyses of brain SPECT images from full remission compared to the worsening group was conducted with the statistical parametric mapping software, version 8 (SPM 8). Multiple comparisons were accounted for with a false discovery rate (p < 0.001).
    Results: Persons with depression that worsened following treatment had reduced cerebral perfusion compared to full remission in the multiple regions including the bilateral frontal lobes, right hippocampus, left precuneus, and cerebellar vermis. Such differences were observed on both resting and concentration SPECT scans.
    Conclusion: Our findings identify imaging-based biomarkers in persons with depression related to treatment response. These findings have implications in understanding both depression to prognosis and its role as a risk factor for dementia.
    MeSH term(s) Adolescent ; Adult ; Aged ; Brain/blood supply ; Brain/diagnostic imaging ; Brain/metabolism ; Cerebrovascular Circulation ; Depressive Disorder, Treatment-Resistant/diagnostic imaging ; Depressive Disorder, Treatment-Resistant/drug therapy ; Depressive Disorder, Treatment-Resistant/metabolism ; Female ; Humans ; Male ; Middle Aged ; Neuroimaging ; Perfusion Imaging ; Prognosis ; Regional Blood Flow ; Remission Induction ; Tomography, Emission-Computed, Single-Photon ; Young Adult
    Language English
    Publishing date 2018-04-24
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-170855
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  10. Article ; Online: MRI Volumetric Quantification in Persons with a History of Traumatic Brain Injury and Cognitive Impairment.

    Meysami, Somayeh / Raji, Cyrus A / Merrill, David A / Porter, Verna R / Mendez, Mario F

    Journal of Alzheimer's disease : JAD

    2019  Volume 72, Issue 1, Page(s) 293–300

    Abstract: Background: While traumatic brain injury (TBI) is recognized as a risk factor for dementia, there is lack of clinical tools to identify brain changes that may confer such vulnerability. Brain MRI volumetric quantification can sensitively identify brain ... ...

    Abstract Background: While traumatic brain injury (TBI) is recognized as a risk factor for dementia, there is lack of clinical tools to identify brain changes that may confer such vulnerability. Brain MRI volumetric quantification can sensitively identify brain atrophy.
    Objective: To characterize regional brain volume loss in persons with TBI presenting with cognitive impairment.
    Methods: IRB approved review of medical records in patients with cognitive decline focused on those who had documented TBI histories and brain MRI scans after TBI (n = 40, 67.7±14.5 years) with volumetric quantification by applying an FDA cleared software program. TBI documentation included head trauma mechanism. Brain volumes were compared to a normative database to determine the extent of atrophy. Correlations between these regions and global tests of cognition (MMSE in n = 17, MoCA in n = 27, n = 14 in both) were performed.
    Results: Multiple regions demonstrated volume loss in TBI, particularly ventral diencephalon, putamen, and pallidum with smaller magnitude of atrophy in temporal lobes and brainstem. Lobar structures showed strongest correlations between atrophy and lower scores on MMSE and MoCA. The hippocampus, while correlated to tests of cognitive function, was the least atrophic region as a function of TBI history.
    Conclusion: Persons with TBI history exhibit show regional brain atrophy. Several of these areas, such as thalamus and temporal lobes, also correlate with cognitive function. Alzheimer's disease atrophy was less likely given relative sparing of the hippocampi. Volumetric quantification of brain MRI in TBI warrants further investigation to further determine its clinical potential in TBI and differentiating causes of cognitive impairment.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Brain/diagnostic imaging ; Brain Injuries, Traumatic/diagnostic imaging ; Brain Injuries, Traumatic/psychology ; Cognitive Dysfunction/diagnostic imaging ; Cognitive Dysfunction/psychology ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Middle Aged ; Organ Size ; Retrospective Studies
    Language English
    Publishing date 2019-09-25
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-190708
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