scholarly journals Volumetric MRI Analysis of Brain Structures in Patients with History of First and Repeated Suicide Attempts: A Cross Sectional Study

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 488
Author(s):  
Milda Sarkinaite ◽  
Rymante Gleizniene ◽  
Virginija Adomaitiene ◽  
Kristina Dambrauskiene ◽  
Nijole Raskauskiene ◽  
...  
Keyword(s):  
Suicide Attempt ◽  
Left Hemisphere ◽  
Cortical Thickness ◽  
Suicide Attempts ◽  
Right Hemisphere ◽  
Temporal Cortex ◽  
Brain Regions ◽  
Cross Sectional ◽  
Suicide Attempters ◽  
The Right

Structural brain changes are found in suicide attempters and in patients with mental disorders. It remains unclear whether the suicidal behaviors are related to atrophy of brain regions and how the morphology of specific brain areas is changing with each suicide attempt. The sample consisted of 56 patients hospitalized after first suicide attempt (first SA) (n = 29), more than one suicide attempt (SA > 1) (n = 27) and 54 healthy controls (HC). Brain volume was measured using FreeSurfer 6.0 automatic segmentation technique. In comparison to HC, patients with first SA had significantly lower cortical thickness of the superior and rostral middle frontal areas, the inferior, middle and superior temporal areas of the left hemisphere and superior frontal area of the right hemisphere. In comparison to HC, patients after SA > 1 had a significantly lower cortical thickness in ten areas of frontal cortex of the left hemisphere and seven areas of the right hemisphere. The comparison of hippocampus volume showed a significantly lower mean volume of left and right parts in patients with SA > 1, but not in patients with first SA. The atrophy of frontal, temporal cortex and hippocampus parts was significantly higher in repeated suicide attempters than in patients with first suicide attempt.

scholarly journals Volumetric MRI analysis of brain structures in patients with history of first and repeated suicide attempts: a cross sectional study

2020 ◽  
Author(s):  
Milda Sarkinaite ◽  
Rymante Gleizniene ◽  
Virginija Adomaitiene ◽  
Kristina Dambrauskiene ◽  
Nijole Raskauskiene ◽  
...  
Keyword(s):  
Suicide Attempt ◽  
Left Hemisphere ◽  
Cortical Thickness ◽  
Suicide Attempts ◽  
Right Hemisphere ◽  
Brain Structures ◽  
Brain Regions ◽  
Cross Sectional ◽  
Suicide Attempters ◽  
History Of

Abstract Background Structural brain changes are found in suicide attempters, as well as in patients with mental disorders. It remains unclear whether the suicidal behavior is related to atrophy of brain regions and how the morphology of specific brain areas is changing with each suicide attempt. This cross-sectional study examined volumetric differences in brain regions among patients with history of first and repeated suicide attempts in comparison to healthy controls (HC). Methods The sample consisted of 56 adults, non-psychotic patients without cognitive impairment and any organic brain disorders hospitalized after first suicide attempt (first SA) (n=29) and more than one suicide attempt (SA>1) during the lifetime (n=27); and 54 adult volunteers without history of mental disorder and suicide attempts, designated as HC. The MRI data were collected using 1.5 T Siemens Avanto scanner. Brain cortical thickness, grey and white matter volumes were measured using FreeSurfer 6.0 automatic segmentation technique. Results In comparison to HC, patients with first SA had 3.5, 3.58 and 4.19% significantly lower mean cortical thickness of the superior and rostral middle frontal areas of the left hemisphere and superior frontal area of the right hemisphere, respectively; 4.09, 4.02 and 4.49% lower mean cortical thickness of the inferior, middle and superior temporal areas of the left hemisphere, respectively. In comparison to HC, patients after SA>1 had a significantly lower mean cortical thickness (from 4.02 to 8.33%) in ten areas of frontal cortex of the left hemisphere and seven areas of the right hemisphere; from 3.90 to 6.04% difference in six areas of temporal cortex in both hemispheres. The comparison of hippocampus volume showed a significantly lower mean volume (7.86 to 9.89%) of left and right parts in patients with SA>1, but not in patients with first SA. Conclusions Hospitalized suicide attempters had lower frontal and temporal cortical thickness and smaller parts of hippocampus than HC; these differences were significantly higher in repeated suicide attempters than in patients with first SA. Our findings suggest that repeated suicidal behavior is associated with intensifying atrophy of specific brain structures, independently of diagnosis of depressive disorders.

scholarly journals Volumetric MRI Analysis of Brain Structures in Patients With History of First and Repeated Suicide Attempts: A Cross Sectional Study

2020 ◽  
Author(s):  
Milda Sarkinaite ◽  
Rymante Gleizniene ◽  
Virginija Adomaitiene ◽  
Kristina Dambrauskiene ◽  
Nijole Raskauskiene ◽  
...  
Keyword(s):  
Suicide Attempt ◽  
Left Hemisphere ◽  
Cortical Thickness ◽  
Suicide Attempts ◽  
Right Hemisphere ◽  
Brain Structures ◽  
Brain Regions ◽  
Cross Sectional ◽  
Suicide Attempters ◽  
History Of

Abstract Background: Structural brain changes are found in suicide attempters, as well as in patients with mental disorders. It remains unclear whether the suicidal behavior is related to atrophy of brain regions and how the morphology of specific brain areas is changing with each suicide attempt. This cross-sectional study examined volumetric differences in brain regions among patients with history of first and repeated suicide attempts in comparison to healthy controls (HC).Methods: The sample consisted of 56 adults, non-psychotic patients without cognitive impairment and any organic brain disorders hospitalized after first suicide attempt (first SA) (n=29) and more than one suicide attempt (SA>1) during the lifetime (n=27); and 54 adult volunteers without history of mental disorder and suicide attempts, designated as HC. The MRI data were collected using 1.5 T Siemens Avanto scanner. Brain cortical thickness, grey and white matter volumes were measured using FreeSurfer 6.0 automatic segmentation technique.Results: In comparison to HC, patients with first SA had 3.5, 3.58 and 4.19% significantly lower mean cortical thickness of the superior and rostral middle frontal areas of the left hemisphere and superior frontal area of the right hemisphere, respectively; 4.09, 4.02 and 4.49 % lower mean cortical thickness of the inferior, middle and superior temporal areas of the left hemisphere, respectively. In comparison to HC, patients after SA>1 had a significantly lower mean cortical thickness (from 4.02 to 8.33%) in ten areas of frontal cortex of the left hemisphere and seven areas of the right hemisphere; from 3.90 to 6.04% difference in six areas of temporal cortex in both hemispheres. The comparison of hippocampus volume showed a significantly lower mean volume (7.86 to 9.89%) of left and right parts in patients with SA>1, but not in patients with first SA. Conclusions: Hospitalized suicide attempters had lower frontal and temporal cortical thickness and smaller parts of hippocampus than HC; these differences were significantly higher in repeated suicide attempters than in patients with first SA. Our findings suggest that repeated suicidal behavior is associated with intensifying atrophy of specific brain structures, independently of diagnosis of depressive disorders.

A Functional Neuroimaging Description of Two Deep Dyslexic Patients

1998 ◽  
Vol 10 (3) ◽  
pp. 303-315 ◽  
Author(s):  
C. J. Price ◽  
D. Howard ◽  
K. Patterson ◽  
E. A. Warburton ◽  
K. J. Friston ◽  
...  
Keyword(s):  
Left Hemisphere ◽  
Word Processing ◽  
Right Hemisphere ◽  
Temporal Cortex ◽  
Inferior Temporal Cortex ◽  
Broca's Area ◽  
Enhanced Activity ◽  
Left Posterior ◽  
Deep Dyslexia ◽  
The Right

Deep dyslexia is a striking reading disorder that results from left-hemisphere brain damage and is characterized by semantic errors in reading single words aloud (e.g., reading spirit as whisky). Two types of explanation for this syndrome have been advanced. One is that deep dyslexia results from a residual left-hemisphere reading system that has lost the ability to pronounce a printed word without reference to meaning. The second is that deep dyslexia reflects right-hemisphere word processing. Although previous attempts to adjudicate between these hypotheses have been inconclusive, the controversy can now be addressed by mapping functional anatomy. In this study, we demonstrate that reading by two deep dyslexic patients (CJ and JG) involves normal or enhanced activity in spared left-hemisphere regions associated with naming (Broca's area and the left posterior inferior temporal cortex) and with the meanings of words (the left posterior temporo-parietal cortex and the left anterior temporal cortex). In the right-hemisphere homologues of these regions, there was inconsistent activation within the normal group and between the deep dyslexic patients. One (CJ) showed enhanced activity (relative to the normals) in the right anterior inferior temporal cortex, the other (JG) in the right Broca's area, and both in the right frontal operculum. Although these differential right-hemisphere activations may have influenced the reading behavior of the patients, their activation patterns primarily reflect semantic and phonological systems in spared regions of the left hemisphere. These results preclude an explanation of deep dyslexia in terms of purely right-hemisphere word processing.

scholarly journals Artificial Intelligence to Analyze the Cortical Thickness Through Age

2021 ◽  
Vol 4 ◽  
Author(s):  
Sergio Ledesma ◽  
Mario-Alberto Ibarra-Manzano ◽  
Dora-Luz Almanza-Ojeda ◽  
Pascal Fallavollita ◽  
Jason Steffener
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Left Hemisphere ◽  
Cortical Thickness ◽  
Right Hemisphere ◽  
Unseen Data ◽  
Artificial Neural ◽  
The Right ◽  
The Brain

In this study, Artificial Intelligence was used to analyze a dataset containing the cortical thickness from 1,100 healthy individuals. This dataset had the cortical thickness from 31 regions in the left hemisphere of the brain as well as from 31 regions in the right hemisphere. Then, 62 artificial neural networks were trained and validated to estimate the number of neurons in the hidden layer. These neural networks were used to create a model for the cortical thickness through age for each region in the brain. Using the artificial neural networks and kernels with seven points, numerical differentiation was used to compute the derivative of the cortical thickness with respect to age. The derivative was computed to estimate the cortical thickness speed. Finally, color bands were created for each region in the brain to identify a positive derivative, that is, a part of life with an increase in cortical thickness. Likewise, the color bands were used to identify a negative derivative, that is, a lifetime period with a cortical thickness reduction. Regions of the brain with similar derivatives were organized and displayed in clusters. Computer simulations showed that some regions exhibit abrupt changes in cortical thickness at specific periods of life. The simulations also illustrated that some regions in the left hemisphere do not follow the pattern of the same region in the right hemisphere. Finally, it was concluded that each region in the brain must be dynamically modeled. One advantage of using artificial neural networks is that they can learn and model non-linear and complex relationships. Also, artificial neural networks are immune to noise in the samples and can handle unseen data. That is, the models based on artificial neural networks can predict the behavior of samples that were not used for training. Furthermore, several studies have shown that artificial neural networks are capable of deriving information from imprecise data. Because of these advantages, the results obtained in this study by the artificial neural networks provide valuable information to analyze and model the cortical thickness.

scholarly journals Repetitive negative thinking about suicide: Associations with lifetime suicide attempts

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Tobias Teismann ◽  
Thomas Forkmann ◽  
Johannes Michalak ◽  
Julia Brailovskaia
Keyword(s):  
Suicide Attempt ◽  
Suicidal Behavior ◽  
Suicide Ideation ◽  
Suicide Attempts ◽  
Clinical Sample ◽  
Cross Sectional Study ◽  
Repetitive Negative Thinking ◽  
Cross Sectional ◽  
Suicide Attempters ◽  
Negative Thinking

Background Repetitive negative thinking has been identified as an important predictor of suicide ideation and suicidal behavior. Yet, only few studies have investigated the effect of suicide-specific rumination, i.e., repetitive thinking about death and/or suicide on suicide attempt history. On this background, the present study investigated, whether suicide-specific rumination differentiates between suicide attempters and suicide ideators, is predictive of suicide attempt history and mediates the association between suicide ideation and suicide attempts. Method A total of 257 participants with a history of suicide ideation (55.6% female; Age M = 30.56, Age SD = 11.23, range: 18–73 years) completed online measures on suicidality, general and suicide-specific rumination. Results Suicide-specific rumination differentiated suicide attempters from suicide ideators, predicted suicide attempt status (above age, gender, suicide ideation, general rumination) and fully mediated the association between suicide ideation and lifetime suicide attempts. Conclusion Overall, though limited by the use of a non-clinical sample and a cross-sectional study design, the present results suggest that suicide-specific rumination might be a factor of central relevance in understanding transitions to suicidal behavior.

The Brain Basis of Language Processing: From Structure to Function

2011 ◽  
Vol 91 (4) ◽  
pp. 1357-1392 ◽  
Author(s):  
Angela D. Friederici
Keyword(s):  
Language Processing ◽  
Right Hemisphere ◽  
Structural Connectivity ◽  
Temporal Cortex ◽  
Brain Regions ◽  
Posterior Portion ◽  
Language Functions ◽  
Marker Studies ◽  
The Right ◽  
The Brain

Language processing is a trait of human species. The knowledge about its neurobiological basis has been increased considerably over the past decades. Different brain regions in the left and right hemisphere have been identified to support particular language functions. Networks involving the temporal cortex and the inferior frontal cortex with a clear left lateralization were shown to support syntactic processes, whereas less lateralized temporo-frontal networks subserve semantic processes. These networks have been substantiated both by functional as well as by structural connectivity data. Electrophysiological measures indicate that within these networks syntactic processes of local structure building precede the assignment of grammatical and semantic relations in a sentence. Suprasegmental prosodic information overtly available in the acoustic language input is processed predominantly in a temporo-frontal network in the right hemisphere associated with a clear electrophysiological marker. Studies with patients suffering from lesions in the corpus callosum reveal that the posterior portion of this structure plays a crucial role in the interaction of syntactic and prosodic information during language processing.

scholarly journals History of suicide attempts and COVID-19 infection in Veterans with schizophrenia or schizoaffective disorder: moderating effects of age and body mass index

2021 ◽  
Author(s):  
Olaoluwa O. Okusaga ◽  
Rachel L. Kember ◽  
Gina M. Peloso ◽  
Roseann E. Peterson ◽  
Marijana Vujkovic ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Suicide Attempt ◽  
Body Mass ◽  
Schizoaffective Disorder ◽  
Suicide Attempts ◽  
Medical Center ◽  
Cross Sectional ◽  
Suicide Attempters ◽  
History Of ◽  
The Relationship

Introduction: Relative to the general population, patients with schizophrenia or schizoaffective disorder have higher rates of suicide attempts and mortality from COVID-19 infection. Therefore, determining whether a history of suicide attempt is associated with COVID-19 in patients with schizophrenia or schizoaffective disorder has implications for COVID-19 vulnerability stratification in this patient population. Methods: We carried out cross-sectional analyses of electronic health records (EHR) of veterans with a diagnosis of schizophrenia or schizoaffective disorder that received treatment at any United States Veterans Affairs Medical Center between January 1, 2020 to January 31, 2021. We used logistic regression to estimate unadjusted and adjusted (including age, sex, race, marital status, body mass index (BMI), and a medical comorbidity score) odds ratios (ORs) for COVID-19 positivity in suicide attempters relative to non-attempters. Results: A total of 101,032 Veterans [mean age 56.67 ± 13.13 years; males 91,715 (90.8%)] were included in the analyses. There were 2,703 (2.7%) suicide attempters and 719 (0.7%) patients were positive for COVID-19. The association between history of suicide attempt and COVID-19 positivity was modified by age and BMI, such that the relationship was only significant in patients younger than 59 years, and in obese (BMI ≥ 30) patients (adjusted OR 3.42, 95% CI 2.02 - 5.79 and OR 2.85, 95% CI 1.65 - 4.94, respectively). Conclusions: Higher rates of COVID-19 in young or obese suicide attempters with a diagnosis of schizophrenia or schizoaffective disorder might be due to elevated risk for the infection in this sub-group of patients.

scholarly journals Overlapping but Language-Specific Mechanisms in Morphosyntactic Processing in Highly Competent L2 Acquired at School Entry: fMRI Evidence From an Alternating Language Switching Task

2021 ◽  
Vol 15 ◽  
Author(s):  
Azam Meykadeh ◽  
Arsalan Golfam ◽  
Seyed Amir Hossein Batouli ◽  
Werner Sommer
Keyword(s):  
Left Hemisphere ◽  
Right Hemisphere ◽  
Region Of Interest ◽  
Brain Regions ◽  
School Entry ◽  
Planum Temporale ◽  
Language Switching ◽  
Pars Opercularis ◽  
The Right ◽  
L1 And L2

Many bilingual individuals acquire their second language when entering primary school; however, very few studies have investigated morphosyntax processing in this population. Combining a whole-brain and region of interest (ROI)-based approach, we studied event-related fMRI during morphosyntactic processing, specifically person-number phi-features, in Turkish (L1) and Persian (L2) by highly proficient bilinguals who learned Persian at school entry. In a design with alternating language switching and pseudorandomized grammaticality conditions, two left-lateralized syntax-specific ROIs and 11 bilateral ROIs involved in executive functions (EF) were analyzed for the intensity of activation relative to a resting baseline. Our findings indicate a strong overlap of neural networks for L1 and L2, suggesting structural similarities of neuroanatomical organization. In all ROIs morphosyntactic processing invoked stronger activation in L1 than in L2. This may be a consequence of symmetrical switch costs in the alternating design used here, where the need for suppressing the non-required language is stronger for the dominant L1 when it is non-required as compared to the non-dominant L2, leading to a stronger rebound for L1 than L2 when the language is required. Both L1 and L2 revealed significant activation in syntax-specific areas in left hemisphere clusters and increased activation in EF-specific areas in right-hemisphere than left-hemisphere clusters, confirming syntax-specific functions of the left hemisphere, whereas the right hemisphere appears to subserve control functions required for switching languages. While previous reports indicate a leftward bias in planum temporale activation during auditory and linguistic processing, the present study shows the activation of the right planum temporale indicating its involvement in auditory attention. More pronounced grammaticality effect in left pars opercularis for L1 and in left pSTG for L2 indicate differences in the processing of morphosyntactic information in these brain regions. Nevertheless, the activation of pars opercularis and pSTG emphasize the centrality of these regions in the processing of person-number phi-features. Taken together, the present results confirm that morphosyntactic processing in bilinguals relates to composite, syntax-sensitive and EF-sensitive mechanisms in which some nodes of the language network are differentially involved.

Dissociating Verbal and Nonverbal Conceptual Processing in the Human Brain

2006 ◽  
Vol 18 (6) ◽  
pp. 1018-1028 ◽  
Author(s):  
Guillaume Thierry ◽  
Cathy J. Price
Keyword(s):  
Left Hemisphere ◽  
Right Hemisphere ◽  
Functional Neuroimaging ◽  
Temporal Cortex ◽  
Conceptual System ◽  
Conceptual Processing ◽  
Making Sense ◽  
Left And Right ◽  
Neuropsychological Evidence ◽  
The Right

Functional neuroimaging has highlighted a left-hemisphere conceptual system shared by verbal and nonverbal processing despite neuropsychological evidence that the ability to recognize verbal and nonverbal stimuli can doubly dissociate in patients with left- and right-hemisphere lesions, respectively. Previous attempts to control for perceptual differences between verbal and nonverbal stimuli in functional neuroimaging studies may have hidden differences arising at the conceptual level. Here we used a different approach and controlled for perceptual confounds by looking for amodal verbal and nonverbal conceptual activations that are common to both the visual and auditory modalities. In addition to the left-hemisphere conceptual system activated by all meaningful stimuli, we observed the left/right double dissociation in verbal and nonverbal conceptual processing, predicted by neuropsychological studies. Left middle and superior temporal regions were selectively more involved in comprehending words—heard or read—and the right midfusiform and right posterior middle temporal cortex were selectively more involved in making sense of environmental sounds and images. Thus, the neuroanatomical basis of a verbal/nonverbal conceptual processing dissociation is established.

scholarly journals What Does the Right Hemisphere Know about Phoneme Categories?

2011 ◽  
Vol 23 (3) ◽  
pp. 552-569 ◽  
Author(s):  
Michael Wolmetz ◽  
David Poeppel ◽  
Brenda Rapp
Keyword(s):  
Left Hemisphere ◽  
Right Hemisphere ◽  
Brain Lesion ◽  
Temporal Cortex ◽  
Primary Role ◽  
Lesion Studies ◽  
Pronounceable Nonword ◽  
The Right ◽  
Category Effects ◽  
Phonemic Category

Innate auditory sensitivities and familiarity with the sounds of language give rise to clear influences of phonemic categories on adult perception of speech. With few exceptions, current models endorse highly left-hemisphere-lateralized mechanisms responsible for the influence of phonemic category on speech perception, based primarily on results from functional imaging and brain-lesion studies. Here we directly test the hypothesis that the right hemisphere does not engage in phonemic analysis. By using fMRI to identify cortical sites sensitive to phonemes in both word and pronounceable nonword contexts, we find evidence that right-hemisphere phonemic sensitivity is limited to a lexical context. We extend the interpretation of these fMRI results through the study of an individual with a left-hemisphere lesion who is right-hemisphere reliant for initial acoustic and phonetic analysis of speech. This individual's performance revealed that the right hemisphere alone was insufficient to allow for typical phonemic category effects but did support the processing of gradient phonetic information in lexical contexts. Taken together, these findings confirm previous claims that the right temporal cortex does not play a primary role in phoneme processing, but they also indicate that lexical context may modulate the involvement of a right hemisphere largely tuned for less abstract dimensions of the speech signal.

Sign in / Sign up

Export Citation Format

Share Document