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This Vignette presents data from the Allen Human Brain Atlas and illustrates how gene expression underlies anatomical structure and function of regions from the adult mind.
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Intelligent Polymer Research Institute, ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, Wollongong, NSW 2522, Australia
Soft Materials Group, School of Chemistry, University of Wollongong, Wollongong, NSW 2522, Australia
Department of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA
Received 29 June 2015, Accepted 11 July 2015, Available online 14 July 2015
The mental faculties are an enormously complex organ structured into various parts of layered tissue. Researchers have attemptedto study the mind by modeling the architecture using two dimensional 2D in vitro cell culturing methods. While those platforms try and mimic the in vivo environment, they just do not truly resemble these dimensional 3D microstructure of neuronal tissues. Development of a definative in vitro model in the brain remains a substantial obstacle to your understanding on the functioning from the brain with the tissue or organ level. To address these obstacles, we demonstrate a whole new method to bioprint 3D brain-like structures made up of discrete layers of primary neural cells encapsulated in hydrogels. Brain-like structures were constructed employing a bio-ink including things like a novel peptide-modified biopolymer, gellan gum-RGD RGD-GG, along with primary cortical neurons. The ink was optimized for any modified reactive printing process and developed for used in traditional cell cultur
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Dept of Computer Science, Yale University, New Haven, CT 06520, USA.
What is neuroinformatics? What could be the Human Brain Project? Why should you care? Supported using a consortium of US funding agencies, the Human Brain Project aims to make to the analysis of brain function the identical advantages of Internet-accessible databases and database tools which have been crucial to your development of molecular biology along with the Human Genome Project. The much greater complexity of neural data, however, makes video far more challenging task. As a pilot project in this particular new initiative, we review some on the progress that's been made and indicate some in the problems, challenges and opportunities that lie ahead.
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73, 487, 296 royalty- free stock images781, 860 new stock images added soon Hallucinations are standard in psychiatric disorders, and are generally experienced by many people who are certainly not mentally ill. Here, in 153 participants, we investigate brain structural markers that predict the occurrence of hallucinations by comparing patients with schizophrenia that have experienced hallucinations against patients who may have not, matched over a number of demographic and clinical variables. Using both newly validated visual classification techniques and automated, data-driven methods, hallucinations were related to specific brain morphology differences inside the paracingulate sulcus, a fold inside medial prefrontal cortex, that has a 1 cm decrease in sulcal length raising the likelihood of hallucinations by 19.9, regardless with the sensory modality where they were experienced. The findings suggest a specific morphological basis for any pervasive feature of typical and atypical human experience.
Figure 1: PCS measurement for two main example images.
The paracingulate sulcus PCS, marked in red, lies dorsal and parallel to your cingulate sulcus CS, itself dorsal on the corpus callosum. a In this image, the PCS is continuous and it is measured looking at the origin inside the first quadrant indicated through the cross-hairs at y 0 and z 0 to its end. b In this example, the PCS appears less distinct; it really is measured through the point at which it runs inside a posterior direction, dorsal to your cingulate sulcus.
Figure 2: PCS length by group.
a Total PCS length across both hemispheres. b PCS length inside left hemisphere. c PCS length from the right hemisphere. P 0.001, P 0.01, P 0.05. Error bars represent standard error with the mean. Controls: 40 healthy control subjects; no hallucinations: 34 patients with schizophrenia who we had not experienced hallucinations; hallucinations: 79 patients with schizophrenia who experienced hallucinations in a modality.
Figure 3: Whole-brain cortical gyrification differences being a function of hallucination status.
a mPFC regions around the PCS exhibiting significantly reduced gyrification in 79 patients who experienced hallucinations weighed against 34 patients without hallucinations, rendered on the canonical pial cortical surface, viewed through the midline. b Local gyrification index in regions all around the PCS significantly differentiates patients with schizophrenia to be a function of hallucination status, t 111 2.165, P 0.033, d 0.448. Error bars represent standard error in the mean.
Figure 4: Grey matter volume differences measured with voxel-based morphometry.
a Significantly greater grey matter volume in 79 patients who experienced hallucinations compared with 34 patients without hallucinations inside the mPFC region of interest within the vicinity from the anterior PCS circled, rendered while on an inflated canonical cortical surface, viewed from your front. b Grey matter volume in PCS region significantly differentiates patients with schizophrenia being a function of hallucination status, Z 2.82; P 0.036 small volume corrected. Error bars represent standard error from the mean.
Hallucinations can be a primary manifestation of numerous mental health disorders, together with featuring from the experience of many people within the healthy population. Previous tries to characterize the mind mechanisms of hallucinations have often been confounded by designs depending upon comparisons between patients and non-patients
However, around 30 of patients who meet diagnostic criteria for schizophrenia never report such anomalous experiences, supplying the potential with the discovery of brain structural markers that happen to be specifically related to the occurrence of hallucinations.
Undoubtedly, many neurobiological factors underlie hallucinations. In the actual study, we focused for the paracingulate sulcus PCS within the medial prefrontal cortex mPFC given its previously established role the truth is monitoring
among other cognitive functions, thought as the ability to discriminate between real and imagined information
Reality monitoring is impaired in patients with schizophrenia with hallucinations
we previously identified that bilateral absence on the PCS was linked to reductions the truth is monitoring performance in healthy those with no neurological damage. The PCS is one with the last sulci to produce in utero, offering the potential for individual differences in its morphology, for example sulcal length, for being particularly informative about functional variation within an area from the brain extensively implicated in fact monitoring judgments
Here, we investigate PCS length within hemispheres in three matched groups: schizophrenia patients that has a history of hallucinations, schizophrenia patients with no reputation hallucinations and healthy controls see Table 1 for participant details. PCS length was measured from structural MRI scans by using a newly validated visual classification technique and data-driven whole-brain analysis methods, executed blind to diagnosis see Methods section for details. Examples of long and short PCS images are displayed in Fig. 1. We report converging comes from across methods indicating that hallucination status could be determined by specific brain morphology differences inside PCS.
Table 1: Participant data.
To validate the newest PCS measurement protocol, it was first put on 53 healthy volunteer structural scans previously analysed by Buda et al.
with the analysis undertaken blind for the ratings inside earlier study, to provide 106 measurements of sulcal length across hemispheres. The right and left hemisphere PCS for every single individual was classified as prominent when the length was 40 mm, absent if PCS length was 20 mm and provide if PCS length fell between the two of these limits, in line with the earlier protocols
The PCS classifications obtained were then in contrast to the original ratings on the study by Buda et al.
In all, 94 out on the 106 measurements matched precisely, resulting in a very Cohen s Kappa of 0.79 P 0.001, 95 CI 0.68, 0.84, indicating substantial agreement
between the 2 main protocols.
To validate the measurement protocol further, and verify its sensitivity to morphological variations in schizophrenia, we measured PCS length in the small, locally acquired independent sample of 19 patients with schizophrenia, all whom experienced hallucinations, along with in 19 matched control participants. Informed consent was extracted from these participants inside a manner licensed by the UK National Research Ethics Service. Total PCS length was significantly reduced within the patients with schizophrenia mean 84.1 mm, 30.5 mm compared to controls mean 110.2 mm, 38.5 mm, t 36 2.31, P 0.027, d 0.77. These independent validations provide grounds for confidence around the reliability of our measurement protocol, and also the likelihood that it'll be sufficiently responsive to identify morphological differences inside our larger sample of 153 patients with schizophrenia and controls which could distinguish individuals who experienced hallucinations from those without hallucinations.
Turning to your principal analysis of PCS morphology differences like a function of hallucination status, we compared PCS length between three large matched groups patients with schizophrenia who had experienced hallucinations, patients with schizophrenia who we hadn't experienced hallucinations and matched healthy controls; see Methods section for participant details and matching procedure. There was a principal effect of group on total PCS length, summed across both hemispheres, F 2, 150 8.90, P 0.001,
0.086. Other potential covariates for instance age, IQ, intracranial volume and global brain gyrification index had no important effect on PCS length and were removed from your model.
Planned comparisons stated patients with schizophrenia who experienced hallucinations exhibited significantly reduced PCS length in comparison with the patients without hallucinations mean reduction 19.2 mm, t 111 2.531, P 0.013, d 0.519 and healthy controls mean reduction 29.2 mm, t 117 4.149, P 0.001, d 0.805, whereas sulcal length between patients who would not experience hallucinations and healthy controls failed to differ significantly, t 72 1.07, P 0.288, d 0.246 Fig. 2a.
With earlier research providing conflicting proof differential cortical-folding patterns between the 2 cerebral hemispheres in schizophrenia, we next investigated possible laterality effects on PCS length. There were main results of hemisphere, F 1, 150 9.978, P 0.002,
0.106, on PCS length, but no interaction between hemisphere and group. PCS length was greater within the left as opposed to right hemisphere across all subject groups, t 152 2.959, P 0.004, d 0.317 Fig. 2b, c. Patients with schizophrenia who had experienced hallucinations exhibited reduced PCS length compared to the healthy controls both in hemispheres, t 2.636, P 0.01, d 0.546. The difference in PCS length between patients with schizophrenia who had experienced hallucinations and patients who we had not experienced hallucinations was significant only within the left hemisphere, t 111 2.464, P 0.015, d 0.505.
We tested the modality specificity in the observed relations by comparing PCS length between patients with auditory hallucinations and patients with hallucinations limited by other modalities one example is, visual, tactile, olfactory. The PCS reductions cannot be differentiated as outlined by hallucination modality, either summed across both hemispheres, t 77 0.067, P 0.947, d 0.015, or in the left, t 77 0.600, P 0.551, d 0.135, or right, t 77 0.822, P 0.413, d 0.185, hemispheres alone, consistent which has a generalized role for reality monitoring impairment from the formation of hallucinations, regardless on the sensory modality during which they occur.
Logistic regression was implemented to control for the number of potentially confounding demographic and clinical variables. Included inside the analysis were right and left hemisphere PCS length, intracranial volume, cortical floor, global gyrification index, time on antipsychotic medication, amount of illness and incidence of delusions. No variables apart from left hemisphere PCS length made a large contribution to predicting participant group membership. A test on the revised model with non-significant terms eliminated against a constant-only model was statistically significant, indicating that left hemisphere PCS length reliably distinguished between hallucinating and non-hallucinating patients
5.848, P 0.016 with df 1, accurately categorizing the hallucination status of 70.8 in the patients with schizophrenia. The regression model predicts that, when left hemisphere PCS length is reduced by 10 mm, there is really a 19.9 change inside the odds ratio 95 CI 1.033 to at least one.415, indicating the raised likelihood that patients with schizophrenia get each year hallucinations.
To further validate the PCS measurement protocol also to determine whether between-group differences in PCS length were combined with structural variations elsewhere from the brain, we conducted separate automated whole-brain analyses of surface-based cortical gyrification properly voxel-based grey matter volume see Methods section for details. Confirming the results in the PCS measurement method, significant differences in local gyrification index were observed inside the mPFC elements of interest around the PCS, namely bilateral frontopolar, medial orbitofrontal, superior frontal and paracentral cortices, with patients with schizophrenia who experienced hallucinations exhibiting significantly reduced gyrification over these regions in contrast to patients without hallucinations, t 111 2.165, P 0.033, d 0.448 Fig. 3. No significant regional group differences elsewhere inside the brain survived correction for multiple comparisons.
Consistent with reductions in mPFC cortical folding in hallucinations, grey matter volume was significantly greater within the functionally defined 8-mm sphere mPFC region of interest all around the anterior PCS in patients with schizophrenia who experienced hallucinations compared to those who wouldn't x 6, y 54, z 5; BA 10; Z 2.82; P 0.036 small volume corrected, Fig. 4. The region referred to as significant applying this voxel-based method was smaller versus the region that emerged inside surface-based gyrification analysis, that could be attributable on the different properties of cortical morphology measured, in addition to any of numerous statistical and methodological differences between the 2 main techniques see Methods section for details. In any event, no significant grey matter volume differences elsewhere inside brain, regarding the occurrence of hallucinations, survived correction for multiple comparisons.
Using newly validated visual classification techniques and automated, data-driven analysis methods, the existing study identified that hallucinations were related to specific brain morphology differences inside the PCS region on the mPFC. Because the link between PCS reduction and hallucinations was evident in participants who all had diagnoses of schizophrenia, our findings avoid confounding with patient status, as can appear in case control comparisons. The hallucinating and non-hallucinating groups with schizophrenia inside our study were matched for age, sex, handedness, IQ, amount of illness, antipsychotic medication and incidence of delusions and negative symptoms. In identifying that hallucinations may be distinguished by structural brain imaging data, we demonstrate a multifactorial phenomenon and that is defined experientially might be related to just one morphological change within the mPFC. As a tertiary sulcus forming around 36 weeks of gestation
the 19.2 mm mean decline in PCS length that distinguished patients who hallucinated from individuals who did not hallucinate might arise from genes that influence primary folding from the cortex by using a disruption to neurodevelopmental pathways. Alternatively, the variability in PCS length is actually a non-genetic reaction to some disturbance in primary sulcal development, or might represent extremes of normal statistical variation from the development of primary and secondary sulci.
Our results go higher than previous findings of modifications to cortical-folding patterns regarding schizophrenia. Several previous numerous studies have shown reported differences in PCS morphology in patients with schizophrenia in comparison with healthy controls
or investigated differences in global measures of cortical gyrification or sulcation connected with hallucination status
The present study may be the first to spot that PCS morphology changes can discriminate between hallucinating and non-hallucinating groups which can be matched for overall brain volume, cortical area and global gyrification index, among other variables. The present findings are in line with earlier research suggesting that leftward PCS hemispheric asymmetries in schizophrenia may very well be similar to those typically noticed in healthy controls
though some previous research has reported reduced PCS asymmetry in schizophrenia
In the actual data, comparable laterality effects were seen in all subject groups, with significantly greater PCS length within the left than right hemisphere, and group differences evident across both hemispheres. Methodological differences might explain the discrepancies between previous studies, motivating enhancing common measurement protocols, preferably incorporating both visual classification and automated, data-driven components, to optimize the identification and measurement of sometimes relatively indistinct or discontinuous anatomical landmarks for example the PCS.
reporting that increased grey matter volume within the mPFC correlated negatively through an individual s reality monitoring ability. Such findings fit with this current results, by which reduced mPFC surface-based gyrification and concomitant increased voxel-based grey matter volume were really the only significant differences inside the brain to be regarding the occurrence of hallucinations. Together with the effects by Buda et al., these findings are consistent that has a role for reality monitoring impairment from the generation of hallucinations, having a structural cause that ability from the region on the PCS. An influence of reduced paracingulate folding and greater surrounding cortical volume may arise from weakened connectivity relating to the mPFC and both proximal and distal brain regions. Prominent theories of morphogenesis declare that cortical folding inside human brain, which begins at about the 26th week of gestation
results either from differential mechanical tension along white matter axons linking disparate brain areas
Altered PCS morphology could thus result in hallucinations through modifications to connectivity between cortical regions included in processing sensory representations and mPFC areas that support decision-making processes for instance distinguishing real experiences from those that may have been imagined, among other cognitive functions
This hypothesis has yet for being tested directly, although there is evidence impaired anterior cingulate modulation of fronto temporal connectivity in schizophrenia
Investigating functional and structural connectivity relating to the broader mPFC and, for instance, posterior auditory and language regions about the superior temporal gyrus, would further inform kinds of hallucination formation. Hallucinations are likely being a multifactorial phenomenon
and theoretical models implicate an array of cognitive and affective variables into their occurrence
It can be done that modality-general risk factors, for instance reduced PCS length, may interact in some those with modality-specific risk factors, for instance reduced arcuate fasciculus integrity from the case of auditory hallucinations
to produce hallucinations in specific sensory modalities. Information on neurodevelopmental designs of schizophrenia may be gained by comparing PCS morphology in family studies and during disease development.
Our findings support modality-general views of hallucinations as stemming from atypicalities actually monitoring. They raise important questions for cognitive styles of hallucinations including how a internal raw material of reality monitoring errors could be defined. In the case of auditory hallucinations, there is certainly compelling evidence that hallucinations arise with the misattribution of internal events for instance, inner speech as external auditory stimuli. A modality-general account would have to specify analogous internal events that is certainly misattributed as external ones in, by way of example, the visual or tactile modalities. A modality-general account would must also explain considerable phenomenological variability from the experience because it is described to all modalities. Moreover, as with most theories proposing brain structural or functional changes related to hallucinations, a real possibility monitoring account must explain why hallucinations are sometimes transient phenomena rath
on the Australian Schizophrenia Research Bank ASRB for 113 patients with schizophrenia and 40 matched healthy control individuals. All scans were of sufficient quality to allow the visual classification and automated, data-driven analyses being undertaken. Participant demographic details and clinical info on which the groups were matched are presented in Table 1. Informed consent was obtained because of the ASRB at recruitment, along with the study was authorized by the Macquarie University Faculty of Human Sciences Human Research Ethics Committee.
Patients with schizophrenia were invested in groups depending on their life-time expertise in hallucinations as ascertained by direct clinical interview. Subjects from the first group reported connection with auditory hallucinations n 39 or hallucinations in other modalities n 40. Patients from the second group reported no life-time experience with hallucinations in every modality n 34. The final list of subjects comprised healthy controls who had been screened at registration for any family reputation, or answer to, psychiatric or neurological disorder n 40. Patient groups were matched for IQ while using the Wechsler Abbreviated Scale of Intelligence WASI, and all of groups were matched for age, sex and handedness. All analyses were accomplished blind to participant group.
The original data set included one additional subject within the auditory hallucinations group but see your face s scan showed proof of a neurological disorder as well as the subject was excluded from your analysis. A copy with the Diagnostic Interview for Psychosis
and information of antipsychotic medication were also obtained for each and every subject, and key variables on the market data are shown in Table 1. There were no significant differences relating to the patient groups from the duration of illness, length of antipsychotic medication, inside the types of delusions beyond a total of seven categories, or inside the presence of negative symptoms thought disorder or catatonia that patients had experienced.
Individual scans were imported as DICOM folders into Mango brain visualization software version 3.0; /mango and inspected for integrity. The PCS per hemisphere was measured utilizing the procedure described below, which had been developed from that previously described
In an axial view, the locations with the anterior and posterior commissures AC and PC were marked, plus the scan rotated to line up the AC and PC in the horizontal plane. The scan was further translated as needed to centre it, along with the origin reset to your location in the AC. On a sagittal slice, 4 mm towards the left or right with the medial line x 4, the cingulate sulcus CS was recognized as the first major sulcus running in the anterior posterior direction, dorsal on the corpus callosum and typically visible for five sagittal slices or maybe more. Using a precise protocol, the PCS was then identified if present being a salient sulcus, running parallel, horizontal and dorsal towards the CS, and visible for three if not more sagittal slices measured from your medial x 0 plane. The sulcus was measured utilizing the trace line function in Mango by reviewing the origin inside the first quadrant prescribed by y 0 plus the horizontal line linking the AC and PC z 0, starting with the point at that your sulcus ran in a very posterior direction. T
Where the PCS was discontinuous, a segment of sulcus was measured only when it started from the first quadrant, and other segments were then included if total interruptions were 20 mm in length
Any segments clearly running in the posterior anterior direction were excluded but non-horizontal or parallel segments were included in the event the PCS was salient and running on the exterior dorsal surface with the brain.
Measures of cortical folding through the brain were obtained by calculating a nearby gyrification index for every single MRI structural scan with all the method explained by Schaer et al.
The gyrification index provides a measure of cortical folding by comparing the number of cortex buried within sulcal folds with the grey/white matter interface with the quantity of visible or surface cortex at intervals of vertex from the reconstructed brain surface, according to 3D spheres of radius 25 mm. Calculations made at intervals of vertex will then be averaged to provide a global gyrification index for every hemisphere, and for 34 individual brain regions as defined by a mechanical parcellation procedure
Calculation was undertaken using FreeSurfer Software version 5.3.0 /, which provided measures of intracranial volume for every subject s scan. For statistical analysis, individual gyrification maps were registered to your template constructed by averaging the affected person structural scans included inside the study, and smoothed that has a 5 mm full-width, half-maximum isotropic Gaussian kernel. Group differences in local gyrification were analysed by fitting an overall linear model at each and every vertex within the surface. Age was included like a covariate, and non-parametric cluster-wise correction for multiple comparisons was performed using Monte Carlo simulation
having a threshold of P 0.05, corrected for multiple comparisons across each hemisphere. Two-sample t - tests were used to recognize region-specific differences averaged across a priori mPFC parts of interest from the vicinity from the PCS, the frontopolar, medial orbitofrontal, superior frontal and paracentral cortices
for a threshold of P 0.05. Regional differences away from region interesting were reported whenever they exceeded a threshold of P 0.05, corrected for multiple comparisons over the 34 parcellated brain regions.
Whole-brain voxel-based grey matter volume differences were analysed with all the VBM8 toolbox /vbm implemented in SPM8 software Wellcome Trust Centre for Neuroimaging, London, UK. Images were manually reoriented before tissue class segmentation and spatial normalization into Montreal Neurological Institute MNI stereotactic space
were performed, using high-dimensional DARTEL image registration. The spatially normalized segmented images were modulated with the non-linear components derived from your normalization process, correcting for differences in total intracranial volume. Finally, images were spatially smoothed by having an 8 mm full-width, half-maximum isotropic Gaussian kernel.
Two-sample t - tests while using the General Linear Model in SPM8 were used to name clusters during which grey matter volume differed between groups at the statistical threshold of P 0.05, corrected for voxels in the mPFC region interesting. Clusters away from region of curiosity were reported should they exceeded a threshold of P 0.05, corrected for multiple comparisons through the entire brain.
How to cite this information : Garrison, J. R. et al. Paracingulate sulcus morphology is related to hallucinations inside human brain. Nat. Commun. 6:8956 doi: 10.1038/ncomms9956 2015.
Geoffroy, P. A. et al. The arcuate fasciculus in auditory-verbal hallucinations: a meta-analysis of diffusion-tensor-imaging studies. Schizophr. Res. 159, 234 237 2014.
Buda, M., Fornito, A., Bergstrom, Z. M. Simons, J. S. A specific brain structural cause of individual differences in fact monitoring. J. Neurosci. 31, 14308 14313 2011.
Allen, P. et al. Neural correlates on the misattribution of speech in schizophrenia. Br. J. Psychiatry 190, 162 169 2007.
Frith, C. D. Done, D. J. Towards a neuropsychology of schizophrenia. Br. J. Psychiatry 153, 437 443 1988.
Keefe, R. S. E., Arnold, M. C., Bayen, U. J., McEvoy, J. P. Wilson, W. H. Source-monitoring deficits for self-generated stimuli in schizophrenia: multinomial modeling of internet data from three sources. Schizophr. Res. 57, 51 67 2002.
Barkus, E., Stirling, J., Hopkins, R., McKie, S. Lewis, S. Cognitive and neural processes in non-clinical auditory hallucinations. Br. J. Psychiatry Suppl. 51, s76 s81 2007.
Mitchell, K. J. Johnson, M. K. Source monitoring many years later: what we should have learned from fMRI regarding the neural mechanisms of source memory. Psychol. Bull. 135, 638 677 2009.
Subramaniam, K. et al. Computerized cognitive training restores neural activity inside reality monitoring network in schizophrenia. Neuron 73, 842 853 2012.
Y cel, M. et al. Hemispheric and gender-related differences within the gross morphology with the anterior cingulateparacingulate cortex in normal volunteers: an MRI morphometric study. Cereb. Cortex 11, 17 25 2001.
Landis, J. R. Koch, G. G. The measurement of observer agreement for categorical data. Biometrics 33, 159 174 1977.
Yucel, M. et al. Paracingulate morphologic differences in males with established schizophrenia: a magnetic resonance imaging morphometric study. Biol. Psychiatry 52, 15 23 2002.
Fornito, A. et al. Morphology with the paracingulate sulcus and executive cognition in schizophrenia. Schizophr. Res. 88, 192 197 2006.
Cachia, A. et al. Deviations in cortex sulcation related to visual hallucinations in schizophrenia. Mol. Psychiatry. 20, 1101 1107 2015.
Noga, J. T., Aylward, E., Barta, P. E. Pearlson, G. D. Cingulate gyrus in schizophrenic patients and normal volunteers. Psychiatry Res. 61, 201 208 1995.
Le Provost, J.-B. et al. Paracingulate sulcus morphology that face men with early-onset schizophrenia. Br. J. Psychiatry 182, 228 232 2003.
Fornito, A. et al. Variability with the paracingulate sulcus and morphometry from the medial frontal cortex: associations with cortical thickness, floor, volume, and sulcal depth. Hum. Brain Mapp. 29, 222 236 2008.
Huang, C.-C. Sonographic cerebral sulcal increase in premature newborns. Brain Dev. 13, 27 31 1991.
Van Essen, D. C. A tension-based theory of morphogenesis and compact wiring inside the central nervous system. Nature 385, 313 318 1997.
Mota, B. Herculano-Houzel, S. How the cortex gets its folds: an inside-out, connectivity-driven model for that scaling of mammalian cortical folding. Front Neuroanat. 6, 1 14 2012.
Ronan, L. et al. Differential tangential expansion to be a mechanism for cortical gyrification. Cereb. Cortex 24, 2219 2228 2014.
Simons, J. S., Davis, S. W., Gilbert, S. J., Frith, C. D. Burgess, P. W. Discriminating imagined from perceived information engages brain areas implicated in schizophrenia. Neuroimage 32, 696 703 2006.
Fletcher, P., McKenna, P. J., Friston, K. J., Frith, C. D. Dolan, R. J. Abnormal cingulate modulation of fronto-temporal connectivity in schizophrenia. Neuroimage 9, 337 342 1999.
Allen, P., Lar i, F., McGuire, P. K. Aleman, A. The hallucinating brain: an assessment structural and functional neuroimaging studies of hallucinations. Neurosci. Biobehav. Rev. 32, 175 191 2008.
Jones, S. R. Fernyhough, C. Rumination, reflection, intrusive thoughts, and hallucination-proneness: towards a fresh model. Behav. Res. Ther. 47, 54 59 2009.
McCarthy-Jones, S., Oestreich, L. K. L., Australian Schizophrenia Research Bank, Whitford, T. J. Reduced integrity in the left arcuate fasciculus is specifically related to auditory verbal hallucinations in schizophrenia. Schizophr. Res. 162, 1 6 2015.
Castle, D. J. et al. The diagnostic interview for psychoses DIP: development, reliability and applications. Psychol. Med. 36, 69 80 2006.
Schaer, M. et al. A surface-based strategy to quantify local cortical gyrification. IEEE Trans. Med. Imaging 27, 161 170 2008.
Desikan, R. S. et al. An automated labeling system for subdividing a person's cerebral cortex on MRI scans into gyral based elements of interest. Neuroimage 31, 968 980 2006.
Hagler, D. J. Jr, Saygin, A. P. Sereno, M. I. Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 33, 1093 1103 2006.
Cocosco, C. A., Kollokian, V., Kwan, R. K. S. Evans, A. C. BrainWeb: online interface into a 3D MRI simulated brain database. Neuroimage 5, 425 1997.
We thank Trevor Robbins for comments and advice. was held by a University of Cambridge Behavioural and Clinical Neuroscience Institute studentship, funded using a joint award through the UK Medical Research Council as well as the Wellcome Trust. was held by a Wellcome Trust Strategic Award. -J. was sustained by an Australian Research Council Discovery Early Career Researcher Award. was backed up by a James S. McDonnell Foundation Scholar award. Data were provided with the Australian Schizophrenia Research Bank ASRB; CIs, Carr V, Schall U, Scott R, Jablensky A, Mowry B, Michie P, Catts S, Henskens F, Pantelis C, Loughland C, and that is supported from the National Health and Medical Research Council of Australia, the Pratt Foundation, Ramsay Health Care, the Viertel Charitable Foundation plus the Schizophrenia Research Institute.
J. and designed the analysis. The ASRB provided structural MRI and clinical data., and analysed your data., , -J., and interpreted the effects and wrote the manuscript.
The authors declare no competing financial interests.
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