Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)

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Accession:144477
"Schizophrenia is characterized by cortical circuit abnormalities, which might be reflected in gamma-frequency (30–100 Hz) oscillations in the electroencephalogram. Here we used a computational model of cortical circuitry to examine the effects that neural circuit abnormalities might have on gamma generation and network excitability. The model network consisted of 1000 leaky integrateand- fi re neurons with realistic connectivity patterns and proportions of neuron types [pyramidal cells (PCs), regular-spiking inhibitory interneurons, and fast-spiking interneurons (FSIs)]. ... The results of this study suggest that a multimodal approach, combining non-invasive neurophysiological and structural measures, might be able to distinguish between different neural circuit abnormalities in schizophrenia patients. ..."
Reference:
1 . Spencer KM (2009) The functional consequences of cortical circuit abnormalities on gamma oscillations in schizophrenia: insights from computational modeling. Front Hum Neurosci 3:33 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: IDL;
Model Concept(s): Oscillations; Simplified Models; Schizophrenia; Brain Rhythms;
Implementer(s): Spencer, Kevin M. [kevin_spencer at hms.harvard.edu];
Search NeuronDB for information about:  GabaA; AMPA; NMDA;
; IF4

common path, home_path, single_path, avg_path, ps_path, latadj_path, dv_path, pca_path, bhv_path, $
             img_path, ers_path, ica_path
common params, n_ids, n_points, n_chans, period, epoch_range, filt_width, base_range
common net_params, N_all, N_e, N_ir, N_if, dt, inv_dt, update, t_init, t_pre, t_stim, t_post, t_all
common wers_params, n_wers_pts, wers_range, wers_base_range, n_scales, scales
common vars, W, W_noise
common rand, seed

single_path = '../single/'
avg_path = '../avg/'
ps_path = '../img/'
dv_path = '../dvs/'
bhv_path = '../bhv/'
img_path = '../img/'
ers_path = '../ers/'

; params
n_ids = 3
n_chans = 12
period = 10

; net_params
dt = 0.001  ; in ms
inv_dt = long(1000)
update = inv_dt

N_e  = long(80*10)
N_ir = long(15*10)
N_if = long(5*10)
N_all = N_e + N_ir + N_if

t_init=500*inv_dt  &  t_pre=0*inv_dt  &  t_stim=500*inv_dt  &  t_post=100*inv_dt

t_all = t_init + t_pre + t_stim + t_post

; wers_params
n_wers_pts = 11
n_scales = t_stim/inv_dt
scales = 1000./reverse(dindgen(n_scales)*2)
wers_range = [0,100]

device, decomposed=0
loadct, 23

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