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Furriel BCRS, Furriel GP, Cunha Xavier Pinto M, Lemos RP. Computational modeling of fear and stress responses: validation using consolidated fear and stress protocols. Front Syst Neurosci 2024; 18:1454336. [PMID: 39776892 PMCID: PMC11703847 DOI: 10.3389/fnsys.2024.1454336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 11/26/2024] [Indexed: 01/11/2025] Open
Abstract
Dysfunction in fear and stress responses is intrinsically linked to various neurological diseases, including anxiety disorders, depression, and Post-Traumatic Stress Disorder. Previous studies using in vivo models with Immediate-Extinction Deficit (IED) and Stress Enhanced Fear Learning (SEFL) protocols have provided valuable insights into these mechanisms and aided the development of new therapeutic approaches. However, assessing these dysfunctions in animal subjects using IED and SEFL protocols can cause significant pain and suffering. To advance the understanding of fear and stress, this study presents a biologically and behaviorally plausible computational architecture that integrates several subregions of key brain structures, such as the amygdala, hippocampus, and medial prefrontal cortex. Additionally, the model incorporates stress hormone curves and employs spiking neural networks with conductance-based integrate-and-fire neurons. The proposed approach was validated using the well-established Contextual Fear Conditioning paradigm and subsequently tested with IED and SEFL protocols. The results confirmed that higher intensity aversive stimuli result in more robust and persistent fear memories, making extinction more challenging. They also underscore the importance of the timing of extinction and the significant influence of stress. To our knowledge, this is the first instance of computational modeling being applied to IED and SEFL protocols. This study validates our computational model's complexity and biological realism in analyzing responses to fear and stress through fear conditioning, IED, and SEFL protocols. Rather than providing new biological insights, the primary contribution of this work lies in its methodological innovation, demonstrating that complex, biologically plausible neural architectures can effectively replicate established findings in fear and stress research. By simulating protocols typically conducted in vivo-often involving significant pain and suffering-in an insilico environment, our model offers a promising tool for studying fear-related mechanisms. These findings support the potential of computational models to reduce the reliance on animal testing while setting the stage for new therapeutic approaches.
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Affiliation(s)
- Brunna Carolinne Rocha Silva Furriel
- Instituto Federal de Goiás, Goiânia, Brazil
- Universidade Federal de Goias, School of Electrical, Mechanical and Computer Engineering, Goiânia, Brazil
- Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | | | - Rodrigo Pinto Lemos
- Universidade Federal de Goias, School of Electrical, Mechanical and Computer Engineering, Goiânia, Brazil
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2
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Revie L, Metzler-Baddeley C. Age-related fornix decline predicts conservative response strategy-based slowing in perceptual decision-making. AGING BRAIN 2024; 5:100106. [PMID: 38318456 PMCID: PMC10838937 DOI: 10.1016/j.nbas.2024.100106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024] Open
Abstract
Aging leads to response slowing but the underpinning cognitive and neural mechanisms remain elusive. We modelled older and younger adults' response times (RT) from a flanker task with a diffusion drift model (DDM) and employed diffusion-weighted magnetic resonance imaging and spectroscopy to study neurobiological predictors of DDM components (drift-rate, boundary separation, non-decision time). Microstructural indices were derived from white matter pathways involved in visuo-perceptual and attention processing [optic radiation, inferior and superior longitudinal fasciculi (ILF, SLF), fornix]. Estimates of metabolite concentrations [N-acetyl aspartate (NAA), glutamate (Glx), and γ-aminobutyric acid (GABA), creatine (Cr), choline (Cho), myoinositol (mI)] were measured from occipital (OCC), anterior cingulate (ACC) and posterior parietal cortices (PPC). Age-related increases in RT, boundary separation, and non-decision time were observed with response conservatism acounting for RT slowing. Aging was associated with reductions in white matter microstructure (lower fractional anisotropy and restricted signal fraction, larger diffusivities) and in metabolites (NAA in ACC and PPC, Glx in ACC). Regression analyses identified brain regions involved in top-down (fornix, SLF, ACC, PPC) and bottom-up (ILF, optic radiation OCC) processing as predictors for DDM parameters and RT. Fornix FA was the strongest predictor for increases in boundary separation (beta = -0.8) and mediated the effects of age on RT. These findings demonstrate that response slowing in visual discrimination is driven by the adoption of a more conservative response strategy. Age-related fornix decline may result in noisier communication of contextual information from the hippocampus to anterior decision-making regions and thus contribute to the conservative response strategy shift.
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Affiliation(s)
- Lauren Revie
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Claudia Metzler-Baddeley
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
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Adams TG, Kelmendi B, Brake CA, Gruner P, Badour CL, Pittenger C. The role of stress in the pathogenesis and maintenance of obsessive-compulsive disorder. ACTA ACUST UNITED AC 2018. [PMID: 29527593 PMCID: PMC5841259 DOI: 10.1177/2470547018758043] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Individuals with obsessive-compulsive disorder often identify psychosocial stress
as a factor that exacerbates their symptoms, and many trace the onset of
symptoms to a stressful period of life or a discrete traumatic incident.
However, the pathophysiological relationship between stress and
obsessive-compulsive disorder remains poorly characterized: it is unclear
whether trauma or stress is an independent cause of obsessive-compulsive
disorder symptoms, a triggering factor that interacts with a preexisting
diathesis, or simply a nonspecific factor that can exacerbate
obsessive-compulsive disorder along with other aspects of psychiatric
symptomatology. Nonetheless, preclinical research has demonstrated that stress
has conspicuous effects on corticostriatal and limbic circuitry. Specifically,
stress can lead to neuronal atrophy in frontal cortices (particularly the medial
prefrontal cortex), the dorsomedial striatum (caudate), and the hippocampus.
Stress can also result in neuronal hypertrophy in the dorsolateral striatum
(putamen) and amygdala. These neurobiological effects mirror reported neural
abnormalities in obsessive-compulsive disorder and may contribute to an
imbalance between goal-directed and habitual behavior, an imbalance that is
implicated in the pathogenesis and expression of obsessive-compulsive disorder
symptomatology. The modulation of corticostriatal and limbic circuits by stress
and the resultant imbalance between habit and goal-directed learning and
behavior offers a framework for investigating how stress may exacerbate or
trigger obsessive-compulsive disorder symptomatology.
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Affiliation(s)
- T G Adams
- School of Medicine - Department of Psychiatry, Yale University.,Clinical Neuroscience Division of the VA National Center for PTSD
| | - B Kelmendi
- School of Medicine - Department of Psychiatry, Yale University.,Clinical Neuroscience Division of the VA National Center for PTSD
| | - C A Brake
- University of Kentucky, Department of Psychology
| | - P Gruner
- School of Medicine - Department of Psychiatry, Yale University
| | - C L Badour
- University of Kentucky, Department of Psychology
| | - C Pittenger
- School of Medicine - Department of Psychiatry, Yale University.,Clinical Neuroscience Division of the VA National Center for PTSD.,Child Study Center, Yale University.,Department of Psychology, Yale University
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Choy KHC, Shackleford DM, Malone DT, Mistry SN, Patil RT, Scammells PJ, Langmead CJ, Pantelis C, Sexton PM, Lane JR, Christopoulos A. Positive Allosteric Modulation of the Muscarinic M1 Receptor Improves Efficacy of Antipsychotics in Mouse Glutamatergic Deficit Models of Behavior. J Pharmacol Exp Ther 2016; 359:354-365. [PMID: 27630144 DOI: 10.1124/jpet.116.235788] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 09/13/2016] [Indexed: 12/14/2022] Open
Abstract
Current antipsychotics are effective in treating the positive symptoms associated with schizophrenia, but they remain suboptimal in targeting cognitive dysfunction. Recent studies have suggested that positive allosteric modulation of the M1 muscarinic acetylcholine receptor (mAChR) may provide a novel means of improving cognition. However, very little is known about the potential of combination therapies in extending coverage across schizophrenic symptom domains. This study investigated the effect of the M1 mAChR positive allosteric modulator BQCA [1-(4-methoxybenzyl)-4-oxo-1,4-dihydroquinoline-3-carboxylic acid], alone or in combination with haloperidol (a first-generation antipsychotic), clozapine (a second-generation atypical antipsychotic), or aripiprazole (a third-generation atypical antipsychotic), in reversing deficits in sensorimotor gating and spatial memory induced by the N-methyl-d-aspartate receptor antagonist, MK-801 [(5R,10S)-(+)-5-methyl-10,11-dihydro-5H-dibenzo[a,d]cyclohepten-5,10-imine]. Sensorimotor gating and spatial memory induction are two models that represent aspects of schizophrenia modeled in rodents. In prepulse inhibition (an operational measure of sensorimotor gating), BQCA alone had minimal effects but exhibited different levels of efficacy in reversing MK-801-induced prepulse inhibition disruptions when combined with a subeffective dose of each of the three (currently prescribed) antipsychotics. Furthermore, the combined effect of BQCA and clozapine was absent in M1-/- mice. Interestingly, although BQCA alone had no effect in reversing MK-801-induced memory impairments in a Y-maze spatial test, we observed a reversal upon the combination of BQCA with atypical antipsychotics, but not with haloperidol. These findings provide proof of concept that a judicious combination of existing antipsychotics with a selective M1 mAChR positive allosteric modulator can extend antipsychotic efficacy in glutamatergic deficit models of behavior.
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Affiliation(s)
- Kwok H C Choy
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - David M Shackleford
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Daniel T Malone
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Shailesh N Mistry
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Rahul T Patil
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Peter J Scammells
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Christopher J Langmead
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Christos Pantelis
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Patrick M Sexton
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Johnathan R Lane
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
| | - Arthur Christopoulos
- Drug Discovery Biology (K.H.C.C., D.T.M, C.J.L, P.M.S, J.R.L, A.C.), Centre for Drug Candidate Optimization (D.M.S., R.T.P.), and Medicinal Chemistry (S.N.M, P.J.S.), Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia; and Melbourne Neuropsychiatry Centre, Department of Psychiatry and Centre for Neural Engineering, University of Melbourne, Melbourne, Australia (C.P.)
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Labouesse MA, Langhans W, Meyer U. Abnormal context-reward associations in an immune-mediated neurodevelopmental mouse model with relevance to schizophrenia. Transl Psychiatry 2015; 5:e637. [PMID: 26371765 PMCID: PMC5068811 DOI: 10.1038/tp.2015.129] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 06/24/2015] [Accepted: 07/22/2015] [Indexed: 12/19/2022] Open
Abstract
Impairments in central reward processing constitute an important aspect of the negative symptoms of schizophrenia. Despite its clinical relevance, the etiology of deficient reward processing in schizophrenia remains largely unknown. Here, we used an epidemiologically informed mouse model of schizophrenia to explore the effects of prenatal immune activation on reward-related functions. The model is based on maternal administration of the viral mimic PolyI:C and has been developed in relation to the epidemiological evidence demonstrating enhanced risk of schizophrenia and related disorders following prenatal maternal infection. We show that prenatal immune activation induces selective deficits in the expression (but not acquisition) of conditioned place preference for a natural reward (sucrose) without changing hedonic or neophobic responses to the reward. On the other hand, prenatal immune activation led to enhanced place preference for the psychostimulant drug cocaine, while it attenuated the locomotor reaction to the drug. The prenatal exposure did not alter negative reinforcement learning as assessed using a contextual fear conditioning paradigm. Our findings suggest that the nature of reward-related abnormalities following prenatal immune challenge depends on the specificity of the reward (natural reward vs drug of abuse) as well as on the valence domain (positive vs negative reinforcement learning). Moreover, our data indicate that reward abnormalities emerging in prenatally immune-challenged offspring may, at least in part, stem from an inability to retrieve previously established context-reward associations and to integrate such information for appropriate goal-directed behavior.
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Affiliation(s)
- M A Labouesse
- Department of Health Sciences and Technology, Physiology and Behavior Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, Schwerzenbach, Switzerland,Physiology and Behavior Laboratory, Swiss Federal Institute of Technology (ETH), Zurich, Schorenstrasse 16, 8603 Schwerzenbach, Switzerland. E-mail:
| | - W Langhans
- Department of Health Sciences and Technology, Physiology and Behavior Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, Schwerzenbach, Switzerland
| | - U Meyer
- Department of Health Sciences and Technology, Physiology and Behavior Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, Schwerzenbach, Switzerland,Institute of Pharmacology and Toxicology, University of Zurich-Vetsuisse, Zurich, Switzerland
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Brown TI, Stern CE. Contributions of medial temporal lobe and striatal memory systems to learning and retrieving overlapping spatial memories. Cereb Cortex 2013; 24:1906-22. [PMID: 23448868 DOI: 10.1093/cercor/bht041] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Many life experiences share information with other memories. In order to make decisions based on overlapping memories, we need to distinguish between experiences to determine the appropriate behavior for the current situation. Previous work suggests that the medial temporal lobe (MTL) and medial caudate interact to support the retrieval of overlapping navigational memories in different contexts. The present study used functional magnetic resonance imaging (fMRI) in humans to test the prediction that the MTL and medial caudate play complementary roles in learning novel mazes that cross paths with, and must be distinguished from, previously learned routes. During fMRI scanning, participants navigated virtual routes that were well learned from prior training while also learning new mazes. Critically, some routes learned during scanning shared hallways with those learned during pre-scan training. Overlap between mazes required participants to use contextual cues to select between alternative behaviors. Results demonstrated parahippocampal cortex activity specific for novel spatial cues that distinguish between overlapping routes. The hippocampus and medial caudate were active for learning overlapping spatial memories, and increased their activity for previously learned routes when they became context dependent. Our findings provide novel evidence that the MTL and medial caudate play complementary roles in the learning, updating, and execution of context-dependent navigational behaviors.
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Affiliation(s)
- Thackery I Brown
- Psychology Department and Center for Memory and Brain, Boston University, Boston, MA 02215, USA Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Chantal E Stern
- Psychology Department and Center for Memory and Brain, Boston University, Boston, MA 02215, USA Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
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Klucken T, Wehrum S, Schweckendiek J, Merz CJ, Hennig J, Vaitl D, Stark R. The 5-HTTLPR polymorphism is associated with altered hemodynamic responses during appetitive conditioning. Hum Brain Mapp 2012; 34:2549-60. [PMID: 22505321 DOI: 10.1002/hbm.22085] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2011] [Revised: 02/20/2012] [Accepted: 02/28/2012] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Current models suggest that a variation in the promoter region of the serotonin transporter gene (5-HTTLPR) is associated with altered amygdala reactivity not only towards negative but also towards positive stimuli, which has been neglected in the past. This association may possibly convey an elevated vulnerability for psychopathology like abuse, craving, and relapses. Since appetitive conditioning is a crucial mechanism in the pathogenesis of these psychiatric disorders, the identification of specific factors contributing to interindividual variation is important. METHODS In the present study (N = 86), an appetitive conditioning paradigm was conducted, in which a neutral stimulus (CS+) was associated with appetitive stimuli, while a second stimulus (CS-) predicted their absence. Subjects were genotyped according to the 5-HTTLPR genotype. RESULTS As the main result, we report a significant association between the 5-HTTLPR genotype and hemodynamic responses. Individuals with the s-allele displayed elevated conditioned bilateral amygdala activity in contrast to l/l-allele carriers. Further, increased hemodynamic responses in s-allele carriers were also found in the extended emotional network including the orbitofrontal cortex, the thalamus, and the ventral striatum. CONCLUSION The present findings indicate an association of the 5-HTTLPR and altered conditioned responses in appetitive conditioning. Further, the findings contribute to the ongoing debate on 5-HTTLPR dependent hemodynamic response patterns by emphasizing that s-allele carriers are not exclusively biased towards fearful, but also towards positive stimuli. In conclusion, our results imply that s-allele carriers might be better described as hyper-reactive towards salient stimuli, which may convey vulnerability for the development of psychiatric disorders.
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Affiliation(s)
- Tim Klucken
- Bender Institute of Neuroimaging, Justus Liebig University Giessen, Germany
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Moustafa AA, Keri S, Herzallah MM, Myers CE, Gluck MA. A neural model of hippocampal-striatal interactions in associative learning and transfer generalization in various neurological and psychiatric patients. Brain Cogn 2010; 74:132-44. [PMID: 20728258 DOI: 10.1016/j.bandc.2010.07.013] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2010] [Revised: 06/11/2010] [Accepted: 07/28/2010] [Indexed: 02/03/2023]
Abstract
Building on our previous neurocomputational models of basal ganglia and hippocampal region function (and their modulation by dopamine and acetylcholine, respectively), we show here how an integration of these models can inform our understanding of the interaction between the basal ganglia and hippocampal region in associative learning and transfer generalization across various patient populations. As a common test bed for exploring interactions between these brain regions and neuromodulators, we focus on the acquired equivalence task, an associative learning paradigm in which stimuli that have been associated with the same outcome acquire a functional similarity such that subsequent generalization between these stimuli increases. This task has been used to test cognitive dysfunction in various patient populations with damages to the hippocampal region and basal ganglia, including studies of patients with Parkinson's disease (PD), schizophrenia, basal forebrain amnesia, and hippocampal atrophy. Simulation results show that damage to the hippocampal region-as in patients with hippocampal atrophy (HA), hypoxia, mild Alzheimer's (AD), or schizophrenia-leads to intact associative learning but impaired transfer generalization performance. Moreover, the model demonstrates how PD and anterior communicating artery (ACoA) aneurysm-two very different brain disorders that affect different neural mechanisms-can have similar effects on acquired equivalence performance. In particular, the model shows that simulating a loss of dopamine function in the basal ganglia module (as in PD) leads to slow acquisition learning but intact transfer generalization. Similarly, the model shows that simulating the loss of acetylcholine in the hippocampal region (as in ACoA aneurysm) also results in slower acquisition learning. We argue from this that changes in associative learning of stimulus-action pathways (in the basal ganglia) or changes in the learning of stimulus representations (in the hippocampal region) can have similar functional effects.
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Affiliation(s)
- Ahmed A Moustafa
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
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