Neuroimaging correlates of insight in obsessive compulsive disorder: A fMRI study

Aim of the studyTo study the neural substrates of insight in OCD by comparing patients with good insight, patients with poor insight and matched healthy controls using functional MRI.MethodologySubjects were recruited from among patients attending OCD clinic, adult psychiatry services and psychiatry ward inpatients of National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore. They were further divided into ‘good insight’ (n = 30) and ‘poor insight’ (n = 14) using Brown's assessment of belief's scale. Control subjects (n = 30) were recruited from consenting volunteers. 3 T MRI was used mental rotation task was paradigm used for fMRI and analysis was done by SPM 8.ResultsPoor insight patients and good insight patients comparison revealed differential activation in left superior/medial frontal gyrus (corresponding to the DLPFC). A negative correlation between BABS score and activation of right inferior parietal lobule. Mental rotation task behavioural data results: OCD patients as a group had significantly lower accuracy compared to healthy controls. Poor insight group had significantly decreased accuracy ratio compared to good insight group and healthy controls. A negative correlation was noted between BABS score and accuracy ratio, indicating that poorer the insight, greater the errors during the active task.ConclusionInsight has been important prognostic factor in OCD. Poor insight patients had specific deficits in left medial frontal gyrus and right inferior parietal lobule as compared to good insight patients and healthy controls. Together, these indicate that insight has a strong neurobiological underpinning in OCD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Neuroimaging correlates of insight in obsessive compulsive disorder: A fMRI study

European Psychiatry ◽

10.1016/j.eurpsy.2016.01.475 ◽

2016 ◽

Vol 33 (S1) ◽

pp. S201-S201

Author(s):

A. Gadad ◽

D.Y.C.J. Reddy ◽

D.G. Venkatasubramanian ◽

D.J. C.N.

Keyword(s):

Mental Rotation ◽

Negative Correlation ◽

Mental Rotation Task ◽

Healthy Controls ◽

Inferior Parietal Lobule ◽

Good Insight ◽

Compulsive Disorder ◽

Accuracy Ratio ◽

Parietal Lobule ◽

Medial Frontal Gyrus

Aim of the studyTo study the neural substrates of insight in OCD by comparing patients with good insight, patients with poor insight and matched healthy controls using functional MRI.MethodologySubjects were recruited from among patients attending OCD clinic, adult psychiatry services and psychiatry ward inpatients of National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore. They were further divided into ‘good insight’ (n = 30) and ‘poor insight’ (n = 14) using Brown's assessment of belief's scale. Control subjects (n = 30) were recruited from consenting volunteers. 3 T MRI was used, mental rotation task was paradigm used for fMRI and analysis was done by SPM 8.ResultsPoor insight patients and Ggood insight patients comparison revealed differential activation in Left superior/Medial frontal gyrus (corresponding to the DLPFC). A negative correlation between BABS score and activation of right inferior parietal lobule. Mental Rotation task behavioural data results: OCD patients as a group had significantly lower accuracy compared to healthy controls. Poor insight group had significantly decreased accuracy ratio compared to Good insight group and healthy controls. A negative correlation was noted between BABS score and accuracy ratio, indicating that poorer the insight, greater the errors during the active task.ConclusionInsight has been important prognostic factor in OCD. Poor insight patients had specific deficits in left medial frontal gyrus and right inferior parietal lobule as compared to good insight patients and healthy controls. Together, these indicate that insight has a strong neurobiological underpinning in OCD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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0014 Reduced Cortical Thickness as a Biomarker of Daytime Sleepiness in Mild Traumatic Brain Injury

SLEEP ◽

10.1093/sleep/zsaa056.013 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A5-A6

Author(s):

N S Dailey ◽

A C Raikes ◽

A Alkozei ◽

M A Grandner ◽

W D Killgore

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

Cortical Thickness ◽

Daytime Sleepiness ◽

Healthy Controls ◽

Inferior Parietal Lobule ◽

Post Injury ◽

Attention Network ◽

Parietal Lobule

Abstract Introduction Sleep disruptions, including the increase of daytime sleepiness, are reported in roughly 70% of all individuals who have suffered a mild traumatic brain injury (mTBI). Prior research using magnetic resonance imaging (MRI) has identified associations between functional brain changes and daytime sleepiness following mTBI. In the present study, we aimed to identify whether structural differences in cortical thickness are associated with increased daytime sleepiness in adults with mTBI. Methods A total of 58 adults between 18 and 45 years of age (M=23.58±5.31) participated in the study, including 19 healthy controls and 39 individuals with a documented mTBI. Individuals with mTBI were further divided based on time-since-injury into a sub-acute (n=22) or chronic (n=17) group. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS) and cortical thickness was measured using high-resolution T1-weighted structural MRI. Whole-brain vertex-wise estimations of cortical thickness were calculated using FreeSurfer (v.6.0) and entered into a GLM to identify between-group differences in cortical thickness and the association with ESS. Results Significant differences in cortical thickness were found between the two mTBI groups (cluster-forming threshold p<.01; cluster-wise threshold p<.05; two-tailed; FWE-corrected). Specifically, lower cortical thickness in the left hemisphere was found in the inferior parietal lobule (p=.01), precuneus (p=.03), and pars triangularis (p=.04) for the sub-acute, compared to chronic group. Furthermore, a significant negative correlation was found between ESS and cortical thickness in the inferior parietal lobule (r=-.55, p=.009) for the sub-acute mTBI group. Conclusion More daytime sleepiness was associated with reduced inferior parietal cortical thickness in those 2 to 12-weeks post-injury, an association not observed in those 6 to 12-months post-injury or healthy controls. The inferior parietal lobule is part of the frontoparietal attention network and has been associated with vulnerability to sleep loss. Our findings suggest structural damage to the attention network following mTBI may be one factor affecting daytime sleepiness in mTBI. These findings may reflect a potential biomarker of sleep disturbances in mTBI. Support USAMRMC grant (W81XWH-12–0386).

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Motor Imagery Impairment in Postacute Stroke Patients

Neural Plasticity ◽

10.1155/2017/4653256 ◽

2017 ◽

Vol 2017 ◽

pp. 1-13 ◽

Cited By ~ 15

Author(s):

Niclas Braun ◽

Cornelia Kranczioch ◽

Joachim Liepert ◽

Christian Dettmers ◽

Catharina Zich ◽

...

Keyword(s):

Mental Rotation ◽

Motor Imagery ◽

Mental Rotation Task ◽

Sensory Loss ◽

Healthy Controls ◽

Stroke Patients ◽

Specific Effects ◽

Sensitivity Loss ◽

Mental Chronometry ◽

And Control

Not much is known about how well stroke patients are able to perform motor imagery (MI) and which MI abilities are preserved after stroke. We therefore applied three different MI tasks (one mental chronometry task, one mental rotation task, and one EEG-based neurofeedback task) to a sample of postacute stroke patients (n=20) and age-matched healthy controls (n=20) for addressing the following questions: First, which of the MI tasks indicate impairment in stroke patients and are impairments restricted to the paretic side? Second, is there a relationship between MI impairment and sensory loss or paresis severity? And third, do the results of the different MI tasks converge? Significant differences between the stroke and control groups were found in all three MI tasks. However, only the mental chronometry task and EEG analysis revealed paresis side-specific effects. Moreover, sensitivity loss contributed to a performance drop in the mental rotation task. The findings indicate that although MI abilities may be impaired after stroke, most patients retain their ability for MI EEG-based neurofeedback. Interestingly, performance in the different MI measures did not strongly correlate, neither in stroke patients nor in healthy controls. We conclude that one MI measure is not sufficient to fully assess an individual’s MI abilities.

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Planum parietale volume in antipsychotic-naïve schizophrenia

European Psychiatry ◽

10.1016/s0924-9338(11)73209-6 ◽

2011 ◽

Vol 26 (S2) ◽

pp. 1505-1505

Author(s):

V. Shivakumar ◽

S.V. Kalmady ◽

G. Venkatasubramanian ◽

S. Gautham ◽

S. Aditi ◽

...

Keyword(s):

Parietal Lobe ◽

Healthy Controls ◽

Inferior Parietal Lobule ◽

Time Study ◽

Female Patients ◽

Male Patients ◽

Parietal Lobule ◽

First Rank Symptoms ◽

First Time

IntroductionFirst Rank Symptoms (FRS) - a group of intriguing experiences characterized by striking breach of ‘self versus non-self’ boundaries - have had a critical influence on the diagnosis of schizophrenia. Inferior Parietal Lobule is implicated in the pathogenesis of FRS in Schizophrenia. However, the role of Planum Parietale (PP) in the genesis of FRS is yet to be examined.Aims & objectivesThis first time study (to the best of our knowledge), aims to examine antipsychotic-naïve schizophrenia patients for the effect of FRS status on volume of PP.MethodIn this study we examined the volume of PP in antipsychotic-naïve schizophrenia patients (n = 32; M:F = 16:16) in comparison with age, sex, and handedness matched (as a group) healthy comparison subjects (n = 34; M:F = 16:18) using valid method with good inter-rater reliability.ResultsFemale Schizophrenia patients showed significant volume reduction in right PP in comparison with female healthy controls (F = 7.2; p = 0.01). However, male patients did not. There was a significant effect of schneiderian FRS in female patients in that those who had FRS had significantly smaller volume of right PP than healthy controls (F = 3.8; p = 0.03); where those female patients who were FRS negative did not differ. Left PP volume did not differ between patients and controls.ConclusionsCurrent study supports previous studies which have implicated the role of parietal lobe in pathogenesis of FRS. Specific role of PP in FRS generation and possible implication of sex differences needs further systematic studies.

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Greater superior than inferior parietal lobule activation with increasing rotation angle during mental rotation: An fMRI study

Neuropsychologia ◽

10.1016/j.neuropsychologia.2009.10.013 ◽

2010 ◽

Vol 48 (2) ◽

pp. 529-535 ◽

Cited By ~ 57

Author(s):

Andrea Gogos ◽

Maria Gavrilescu ◽

Sonia Davison ◽

Karissa Searle ◽

Jenny Adams ◽

...

Keyword(s):

Mental Rotation ◽

Rotation Angle ◽

Inferior Parietal Lobule ◽

Fmri Study ◽

Parietal Lobule

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Individual Differences in Mental Rotation

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000184 ◽

2013 ◽

Vol 60 (3) ◽

pp. 164-171 ◽

Cited By ~ 20

Author(s):

Peter Khooshabeh ◽

Mary Hegarty ◽

Thomas F. Shipley

Keyword(s):

Individual Differences ◽

Mental Rotation ◽

Response Times ◽

Task Demands ◽

Mental Rotation Task ◽

Imagery Ability ◽

Alternative Strategies

Two experiments tested the hypothesis that imagery ability and figural complexity interact to affect the choice of mental rotation strategies. Participants performed the Shepard and Metzler (1971) mental rotation task. On half of the trials, the 3-D figures were manipulated to create “fragmented” figures, with some cubes missing. Good imagers were less accurate and had longer response times on fragmented figures than on complete figures. Poor imagers performed similarly on fragmented and complete figures. These results suggest that good imagers use holistic mental rotation strategies by default, but switch to alternative strategies depending on task demands, whereas poor imagers are less flexible and use piecemeal strategies regardless of the task demands.

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