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  1. Frontiers

    case study of brain morphometry

  2. Voxel-based morphometry analyses showing brain regions in which grey

    case study of brain morphometry

  3. Whole-brain voxel-based morphometry (VBM) showing areas with

    case study of brain morphometry

  4. Brain morphometry

    case study of brain morphometry

  5. Brain morphometry

    case study of brain morphometry

  6. Voxel-based morphometry analysis in patients with multiple sclerosis

    case study of brain morphometry

VIDEO

  1. Morphological Investigations. Cutting into the substance of urban form

  2. How does the brain figure out the structures of problems

  3. Morphometry :

  4. HBP Focus Area

  5. Morphometric Analysis in Orthopedics

  6. DMV Case Study 2

COMMENTS

  1. Normative Modeling of Brain Morphometry in Clinical High Risk for

    This case-control study assesses the association of brain morphometric changes that deviate from the normative range and with positive symptoms, cognition, and conversion to a psychotic disorder among individuals at high risk for psychosis.

  2. Brain morphometry

    Brain morphometry is the act of measuring various dimensions (typically volume) of parts of the brain. Historically, this was only performed post-mortem. In modern practice, this is performed in vivo using MRI. A volumetric scan of the brain (typically T1 weighted) is obtained and segmented into various regions and volumes calculated.

  3. Human Brain Mapping

    The examination of multivariate brain morphometry patterns has gained attention in recent years, especially for their powerful exploratory capabilities in the study of differences between patients and controls. Among the many existing methods and tools for the analysis of brain anatomy based on structural magnetic resonance imaging data, data-driven source-based morphometry (SBM) focuses on ...

  4. Surface Foliation Based Brain Morphometry Analysis

    Specifically, surface morphometry techniques, such as conformal mapping and area preserving mapping, have shown to be feasible and powerful tools in brain morphometry research. To the best of our knowledge, this is the first work to propose the use of the surface foliation theory for brain morphometry analysis.

  5. Quantitative brain morphometry identifies cerebellar, cortical, and

    Fourteen patients (8 M/6F) with LOTS from three centers were included in this retrospective study. For morphometric brain analyses, we used deformation-based morphometry, voxel-based morphometry, surface-based morphometry, and spatially unbiased cerebellar atlas template.

  6. A systematic review of brain morphometry related to deep brain

    13 studies included in our review evaluated the relationship between brain morphometry and non-motor symptoms after DBS, with nine studies investigating cognitive abilities and five studies focusing on psychiatric complications (Table

  7. A case study of brain morphometry in triplets discordant for Down

    This case report summarizes the findings of a neuroimaging and neuropsychology study of two adolescent females with Down syndrome and their same-sex discordant triplet siblings (one from each family; n = 4).

  8. Brain Morphometry Using Anatomical Magnetic Resonance Imaging

    Brain Morphometry Using Anatomical Magnetic Resonance Imaging. The publisher's final edited version of this article is available at J Am Acad Child Adolesc Psychiatry. Anatomical Magnetic Resonance Imaging (MRI) provides detailed information about the morphological features - usually shape and size -- of various brain regions in vivo.

  9. Brain morphometry in reading-disabled twins

    Objective: To test for brain structure differences in reading disability (RD) by means of MRI-based morphometry. Background: Consensus is lacking on the brain structural correlates of RD. The current study reports on a wider set of structures ...

  10. Brain Morphometry: Alzheimer's Disease

    In such case, the study of brain morphometry would allow the identification of structural endophenotypes that are helpful in the characterization of patients and, possibly, in the definition of a prognosis.

  11. Assessment of the impact of the scanner-related factors on brain

    Background Brain morphometry is extensively used in cross-sectional studies. However, the difference in the estimated values of the morphometric measures between patients and healthy subjects may be small and hence overshadowed by the scanner-related variability, especially with multicentre and longitudinal studies. It is important therefore to investigate the variability and reliability of ...

  12. MRI morphometry in Alzheimer's disease

    MRI based evaluation of brain atrophy is regarded as a valid method to stage the disease and to assess progression in Alzheimer's disease (AD). Volumetric software programs have made it possible to quantify gray matter in the human brain in an automated fashion. At present, voxel based morphometry (VBM) is easily applicable to the routine ...

  13. Brain morphometry

    Comparative study of stretched-exponential and kurtosis models of diffusion-weighted imaging in renal assessment to distinguish patients with primary aldosteronism from...

  14. Brain morphometry

    Brain morphometry is a subfield of both morphometry and the brain sciences, concerned with the measurement of brain structures and changes thereof during development, aging, learning, disease and evolution. Since autopsy -like dissection is generally impossible on living brains, brain morphometry starts with noninvasive neuroimaging data ...

  15. Cortical and Subcortical Brain Morphometry Differences Between Patients

    Objective: Neuroimaging studies show structural differences in both cortical and subcortical brain regions in children and adults with autism spectrum disorder (ASD) compared with healthy subjects. Findings are inconsistent, however, and it is unclear how differences develop across the lifespan. The authors investigated brain morphometry differences between individuals with ASD and healthy ...

  16. Brain morphometry in former American football players: Findings from

    Brain | Arciniega H, Baucom ZH, Tuz-Zahra F, Tripodis Y, John O, Carrington H, Kim N, Knyazhanskaya EE, Jung LB, Breedlove K, Wiegand TLT, Daneshvar DH, Rushmore RJ, Billah T, Pasternak O, Coleman MJ, Adler CH, Bernick C, Balcer LJ, Alosco ML, Koerte IK, Lin AP, Cummings JL, Reiman EM, Stern RA, Shenton ME, Bouix S. Brain morphometry in former ...

  17. Cortical thickness and brain volumetric analysis in body dysmorphic

    This is the first study to examine cortical thickness in individuals with BDD, and the largest to investigate brain morphometry. Differences in brain structure and function, specifically in visual processing regions of the brain, may underlie the dysfunctional preoccupation with details in physical appearance that are core BDD symptoms.

  18. Can Taichi reshape the brain? A brain morphometry study

    Abstract. Although research has provided abundant evidence for Taichi-induced improvements in psychological and physiological well-being, little is known about possible links to brain structure of Taichi practice. Using high-resolution MRI of 22 Tai Chi Chuan (TCC) practitioners and 18 controls matched for age, sex and education, we set out to ...

  19. A case study of a multiply talented savant with an autism spectrum

    Neuropsychological functioning and brain morphometry in a savant (case GW) with an autism spectrum disorder (ASD) and both calendar calculation and artistic skills are quantified and compared with small groups of neurotypical controls. Good memory, mental calculation and visuospatial processing, as well as (implicit) knowledge of calendar structure and 'weak' central coherence characterized ...

  20. Localization of stuttering based on causal brain lesions

    We conclude that lesions causing acquired neurogenic stuttering map to a common brain network, centred to the left putamen, claustrum and amygdalostriatal transition area. The association of this lesion-based network with symptom severity in developmental stuttering suggests a shared neuroanatomy across aetiologies.

  21. Computational Morphometry for Detecting Changes in Brain Structure Due

    A brain morphometric study consists of two major components: First, a spatial representation of the brain or its components is obtained by repetitive application of some non-invasive neuroimaging technique (for an overview of the available options, see Kim and Zee, 2007 ).

  22. Unseen details of human brain structure revealed

    At a Glance Researchers generated a high-resolution map of all the cells and connections in a single cubic millimeter of the human brain. The results reveal previously unseen details of brain structure and provide a resource for further studies.

  23. Brain Age Gap in Early Illness Schizophrenia and the Clinical High-Risk

    Background and hypothesis: Brain development/aging is not uniform across individuals,spawning efforts to characterize brain age from a biological perspective to model the effects of disease and maladaptive life processes on the brain. The brain age gap represents the discrepancy between estimated brain biological age and chronological age (in this case, based on structural magnetic resonance ...

  24. Brain morphometry

    Brain morphometry - clinical decision support in every day's practice. Patric Hagmann, M.D., Ph.D., University Hospital Lausanne, Switzerland, 10th MAGNETOM World Summit. Did this information help you?

  25. A case study of a multiply talented savant with an autism spectrum

    Neuropsychological functioning and brain morphometry in a savant (case GW) with an autism spectrum disorder (ASD) and both calendar calculation and artistic skills are quantified and compared with small groups of neurotypical controls. Good memory, mental ...

  26. Most Detailed 3D Reconstruction of Human Brain Tissue Ever Produced

    As a step in that direction, in a new study supported in part by the NIH BRAIN Initiative and reported in the journal Science , researchers have created the most detailed nanoscale resolution map ever produced of a cubic millimeter of brain tissue, about the size of half a grain of rice.

  27. Mild Traumatic Brain Injury: Longitudinal Study of Cognition

    The present study included 463 participants with mild traumatic brain injury represented by an initial post-resuscitation GCS score of 13-15 in the emergency department (ED) who survived and agreed to participate in an assessment at 1 and 12 months after injury.